{"benchmarkName":"MTEB(Multilingual, v2)","taskTypes":["InstructionReranking","MultilabelClassification","Classification","Retrieval","Reranking","STS","Clustering","PairClassification","BitextMining"],"tasks":["SemRel24STS","FinParaSTS","PolEmo2.0-OUT","JSICK","SwednClusteringP2P","MalteseNewsClassification","CzechProductReviewSentimentClassification","STS13","IndicCrosslingualSTS","SprintDuplicateQuestions","WikipediaRerankingMultilingual","EstonianValenceClassification","STS15","MLQARetrieval","HALClusteringS2S.v2","PoemSentimentClassification","BrazilianToxicTweetsClassification","StatcanDialogueDatasetRetrieval","STS17","NordicLangClassification","ArXivHierarchicalClusteringP2P","NusaTranslationBitextMining","MassiveIntentClassification","CLSClusteringP2P.v2","WikipediaRetrievalMultilingual","SinhalaNewsClassification","StackExchangeClustering.v2","MasakhaNEWSClassification","NusaX-senti","CataloniaTweetClassification","OpusparcusPC","ArmenianParaphrasePC","KorHateSpeechMLClassification","WikiClusteringP2P.v2","AmazonCounterfactualClassification","ArXivHierarchicalClusteringS2S","NepaliNewsClassification","ArguAna","AILAStatutes","ToxicConversationsClassification","IndicGenBenchFloresBitextMining","CSFDSKMovieReviewSentimentClassification","SiswatiNewsClassification","CEDRClassification","TempReasonL1","BiorxivClusteringP2P.v2","NorwegianCourtsBitextMining","PunjabiNewsClassification","SpartQA","BUCC.v2","BornholmBitextMining","BibleNLPBitextMining","SIB200ClusteringS2S","RTE3","TERRa","SwahiliNewsClassification","DBpediaClassification","HagridRetrieval","MultiHateClassification","WikiCitiesClustering","Tatoeba","STS14","KurdishSentimentClassification","PpcPC","STSBenchmark","MasakhaNEWSClusteringS2S","MIRACLRetrievalHardNegatives","NTREXBitextMining","DalajClassification","SICK-R","NollySentiBitextMining","SCIDOCS","BelebeleRetrieval","IsiZuluNewsClassification","TwitterHjerneRetrieval","STSB","STSES","KorSarcasmClassification","WinoGrande","SentimentAnalysisHindi","RuBQReranking","CyrillicTurkicLangClassification","FilipinoShopeeReviewsClassification","STS22.v2","RomaniBibleClustering","MacedonianTweetSentimentClassification","AfriSentiClassification","STS12","LegalBenchCorporateLobbying","TweetTopicSingleClassification","MultiEURLEXMultilabelClassification","T2Reranking","GreekLegalCodeClassification","SlovakMovieReviewSentimentClassification","FaroeseSTS","SwissJudgementClassification","TwitterURLCorpus","TRECCOVID","IndicLangClassification","GujaratiNewsClassification","ItaCaseholdClassification","FloresBitextMining","Robust04InstructionRetrieval","BulgarianStoreReviewSentimentClassfication","OdiaNewsClassification","TswanaNewsClassification","PlscClusteringP2P.v2","FinancialPhrasebankClassification","News21InstructionRetrieval","StackOverflowQA","Core17InstructionRetrieval","WebLINXCandidatesReranking","PAC","VoyageMMarcoReranking","MedrxivClusteringP2P.v2","GermanSTSBenchmark","AlloprofReranking","AlloProfClusteringS2S.v2","ScalaClassification","indonli","IN22GenBitextMining","CovidRetrieval","BigPatentClustering.v2","PawsXPairClassification","NusaXBitextMining","NusaParagraphEmotionClassification","LEMBPasskeyRetrieval","CTKFactsNLI","DiaBlaBitextMining","IndonesianIdClickbaitClassification","XNLI"],"tasksMeta":[{"name":"BornholmBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Danish"],"domains":["Web","Social","Fiction","Written"],"modalities":["text"],"description":"Danish Bornholmsk Parallel Corpus. Bornholmsk is a Danish dialect spoken on the island of Bornholm, Denmark. Historically it is a part of east Danish which was also spoken in Scania and Halland, Sweden.","reference":"https://aclanthology.org/W19-6138/","citation":"\n@inproceedings{derczynskiBornholmskNaturalLanguage2019,\n author = {Derczynski, Leon and Kjeldsen, Alex Speed},\n booktitle = {Proceedings of the Nordic Conference of Computational Linguistics (2019)},\n date = {2019},\n file = {Available Version (via Google Scholar):/Users/au554730/Zotero/storage/FBQ73ZYN/Derczynski and Kjeldsen - 2019 - Bornholmsk natural language processing Resources .pdf:application/pdf},\n pages = {338--344},\n publisher = {Linköping University Electronic Press},\n shorttitle = {Bornholmsk natural language processing},\n title = {Bornholmsk natural language processing: Resources and tools},\n url = {https://pure.itu.dk/ws/files/84551091/W19_6138.pdf},\n urldate = {2024-04-24},\n}\n","isPublic":true,"sourceDataset":"mteb/BornholmBitextMining","license":"cc-by-4.0","dateFrom":"2019-01-01","dateTo":"2019-12-31","annotationsCreators":"expert-annotated","dialect":["da-dan-bornholm"],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"BibleNLPBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["'Auhelawa","Abau","Achi","Achuar-Shiwiar","Adzera","Agarabi","Aguacateco","Aguaruna","Agusan Manobo","Agutaynen","Ajyíninka Apurucayali","Akan","Akawaio","Akoose","Akukem","Alamblak","Alekano","Algonquin","Alune","Alyawarr","Ama (Papua New Guinea)","Amanab","Amarakaeri","Amarasi","Amatlán Zapotec","Ambai","Ambulas","Amele","Amo","Ancient Greek (to 1453)","Ancient Hebrew","Aneme Wake","Angaataha","Angor","Anindilyakwa","Anjam","Ankave","Anmatyerre","Anuki","Apinayé","Apurinã","Arabela","Arapaho","Are","Arifama-Miniafia","Arop-Lokep","Arosi","Aruamu","Asháninka","Ashéninka Pajonal","Assamese","Assyrian Neo-Aramaic","Ata Manobo","Atatláhuca Mixtec","Au","Awa (Papua New Guinea)","Awa-Cuaiquer","Awabakal","Awara","Awiyaana","Ayautla Mazatec","Baatonum","Baeggu","Baga Sitemu","Baikeno","Bakairí","Baki","Balangao","Balantak","Bambam","Bangwinji","Barai","Barasana-Eduria","Bargam","Bariai","Barok","Baruga","Baruya","Beami","Beaver","Bedjond","Belarusian","Belize Kriol English","Benabena","Bengali","Biangai","Bimin","Binandere","Bine","Binukid","Binumarien","Blagar","Bo-Ung","Boko (Benin)","Bokobaru","Bola","Bolinao","Bora","Border Kuna","Borei","Borgu Fulfulde","Borong","Breton","Bribri","Bu (Kaduna State)","Buamu","Bugawac","Bughotu","Buglere","Buhutu","Bukiyip","Bumbita Arapesh","Bunama","Burarra","Burmese","Busa","Bwanabwana","Cacua","Cajamarca Quechua","Cajonos Zapotec","Caluyanun","Camsá","Candoshi-Shapra","Capanahua","Caquinte","Carapana","Caribbean Hindustani","Caribbean Javanese","Carpathian Romani","Carrier","Cashibo-Cacataibo","Cashinahua","Casiguran Dumagat Agta","Cavineña","Cebuano","Central Bontok","Central Cagayan Agta","Central Huasteca Nahuatl","Central Kurdish","Central Mazahua","Central Tunebo","Cerma","Chachi","Chamorro","Chavacano","Chayahuita","Chayuco Mixtec","Chichicapan Zapotec","Chipaya","Chiquihuitlán Mazatec","Chiquitano","Choapan Zapotec","Chol","Chortí","Chuave","Chuj","Chumburung","Chuukese","Chácobo","Coatecas Altas Zapotec","Coatlán Mixe","Coatzospan Mixtec","Cofán","Colorado","Comaltepec Chinantec","Copala Triqui","Coptic","Coyutla Totonac","Croatian","Cubeo","Cuiba","Czech","Dadibi","Daga","Dangaléat","Danish","Dano","Dawawa","Dawro","Dedua","Dela-Oenale","Denya","Dhangu-Djangu","Dhao","Dhuwaya","Dieri","Ditammari","Diuxi-Tilantongo Mixtec","Djambarrpuyngu","Djinang","Dobu","Dogrib","Dombe","Doromu-Koki","Dutch","East Kewa","Eastern Apurímac Quechua","Eastern Arrernte","Eastern Bolivian Guaraní","Eastern Bontok","Eastern Highland Otomi","Eastern Huasteca Nahuatl","Eastern Khumi Chin","Eastern Maroon Creole","Eastern Tamang","Edolo","El Nayar Cora","Enga","English","Epena","Ese","Ese Ejja","Esperanto","Estado de México Otomi","Ewage-Notu","Ewe","Faiwol","Fanamaket","Fasu","Fataleka","Folopa","Fore","Francisco León Zoque","French","Galibi Carib","Gamo","Ganda","Gapapaiwa","Garifuna","Garrwa","Gela","German","Ghayavi","Gilaki","Girawa","Gizrra","Gofa","Golin","Gourmanchéma","Guahibo","Guajajára","Guambiano","Guanano","Guarayu","Guayabero","Guerrero Amuzgo","Guerrero Nahuatl","Guhu-Samane","Gujarati","Gumatj","Gumawana","Gunwinggu","Gwahatike","Gwichʼin","Haitian","Halia","Hamer-Banna","Hanga Hundi","Haruai","Hausa","Hawaiian","Hdi","Hebrew","Helong","Highland Oaxaca Chontal","Highland Popoluca","Highland Puebla Nahuatl","Highland Totonac","Hindi","Hiri Motu","Hixkaryána","Hopi","Hote","Huallaga Huánuco Quechua","Huamalíes-Dos de Mayo Huánuco Quechua","Huambisa","Huastec","Huautla Mazatec","Huaylas Ancash Quechua","Huaylla Wanca Quechua","Huehuetla Tepehua","Huichol","Huli","Hungarian","Iamalele","Iatmul","Iduna","Ignaciano","Ika","Ikwere","Iloko","Imbongu","Inabaknon","Indonesian","Inga","Inoke-Yate","Ipili","Iranian Persian","Isanzu","Isthmus Mixe","Isthmus Zapotec","Italian","Ivbie North-Okpela-Arhe","Iwal","Ixil","Iyo","Jalapa De Díaz Mazatec","Jamiltepec Mixtec","Janji","Japanese","Juquila Mixe","K'iche'","Kadiwéu","Kagayanen","Kaingang","Kaiwá","Kakabai","Kala Lagaw Ya","Kalam","Kaluli","Kamano","Kamasau","Kamula","Kanasi","Kandas","Kandawo","Kaninuwa","Kanite","Kankanaey","Kannada","Kapingamarangi","Kaqchikel","Kara (Papua New Guinea)","Kara (Tanzania)","Karajá","Karkar-Yuri","Kasua","Kayabí","Kayapó","Keapara","Kein","Kekchí","Kenga","Kenyang","Keyagana","Kikuyu","Kinga","Kire","Kisar","Kisi","Kobon","Komba","Kombio","Konkomba","Korafe-Yegha","Koronadal Blaan","Kosarek Yale","Kosena","Kosraean","Koti","Kouya","Kriol","Kuanua","Kube","Kuku-Yalanji","Kuman (Papua New Guinea)","Kuni-Boazi","Kunimaipa","Kuot","Kupang Malay","Kurti","Kutu","Kwaio","Kwamera","Kwanga","Kwara'ae","Kwere","Kwoma","Kyaka","Kyenele","Kâte","Label","Lacandon","Lachixío Zapotec","Lalana Chinantec","Lambayeque Quechua","Latin","Lealao Chinantec","Lewo","Limbu","Limos Kalinga","Lingala","Lithuanian","Lole","Lote","Lowland Tarahumara","Luang","Luguru","Lukpa","Luo (Kenya and Tanzania)","Maasina Fulfulde","Maca","Machiguenga","Macuna","Macushi","Madak","Mag-antsi Ayta","Magdalena Peñasco Mixtec","Maiadomu","Maiwa (Papua New Guinea)","Makaa","Makhuwa-Meetto","Makonde","Malay (individual language)","Malayalam","Male (Ethiopia)","Mam","Mamara Senoufo","Mamasa","Manam","Manambu","Mandara","Mandarin Chinese","Mangga Buang","Mangseng","Mankanya","Mansaka","Mape","Mapos Buang","Mapudungun","Marathi","Margos-Yarowilca-Lauricocha Quechua","Marik","Martu Wangka","Masbatenyo","Maskelynes","Matigsalug Manobo","Mato","Matsés","Matu Chin","Matumbi","Maung","Mauwake","Maxakalí","Mbuko","Mbula","Mbyá Guaraní","Mekeo","Melpa","Mende (Papua New Guinea)","Mengen","Menya","Merey","Meriam Mir","Mezquital Otomi","Mi'kmaq","Miahuatlán Zapotec","Mian","Michoacán Nahuatl","Migabac","Minaveha","Minica Huitoto","Misima-Panaeati","Mitla Zapotec","Mixtepec Zapotec","Miyobe","Mokilese","Mokole","Molima","Mopán Maya","Morokodo","Motu","Mountain Koiali","Mufian","Muinane","Mum","Mundurukú","Murrinh-Patha","Murui Huitoto","Mussau-Emira","Mutu","Muyang","Muyuw","Mwani","Mwera (Chimwera)","Naasioi","Nabak","Nadëb","Nakanai","Nali","Namiae","Naro","Natügu","Ndamba","Ndengereko","Nehan","Nek","Nend","Nepali (individual language)","Ngaanyatjarra","Ngangam","Nggem","Ngindo","Ngulu","Ngäbere","Nii","Ninzo","Nkonya","Nobonob","Nomatsiguenga","Noone","Nopala Chatino","North Bolivian Quechua","North Junín Quechua","North Tairora","North Tanna","Northeast Kiwai","Northern Conchucos Ancash Quechua","Northern Emberá","Northern Kankanay","Northern Oaxaca Nahuatl","Northern Paiute","Northern Pastaza Quichua","Northern Puebla Nahuatl","Northern Tepehuan","Northwest Alaska Inupiatun","Nukna","Numanggang","Nunggubuyu","Nyangumarta","Nyanja","Nyindrou","Nyungar","Nyungwe","Obo Manobo","Ocotepec Mixtec","Ocotlán Zapotec","Odia","Odoodee","Ogea","Oksapmin","Olo","Ono","Orokaiva","Ozolotepec Zapotec","Ozumacín Chinantec","Paama","Paicî","Palantla Chinantec","Palikúr","Pamplona Atta","Panao Huánuco Quechua","Panjabi","Papantla Totonac","Paranan","Parecís","Patep","Patpatar","Paumarí","Pele-Ata","Peñoles Mixtec","Piapoco","Pichis Ashéninka","Pinotepa Nacional Mixtec","Pintupi-Luritja","Piratapuyo","Pitjantjatjara","Pogolo","Pohnpeian","Polish","Popti'","Poqomchi'","Portuguese","Pular","Qaqet","Querétaro Otomi","Quioquitani-Quierí Zapotec","Quiotepec Chinantec","Ramoaaina","Rawa","Rikbaktsa","Rincón Zapotec","Ringgou","Romanian","Rotokas","Roviana","Russian","Sa'a","Sabaot","Sabu","Safeyoka","Safwa","Saint Lucian Creole French","Saliba","Salt-Yui","Sam","Samberigi","San Blas Kuna","San Jerónimo Tecóatl Mazatec","San Juan Atzingo Popoloca","San Juan Colorado Mixtec","San Marcos Tlacoyalco Popoloca","San Martín Quechua","San Mateo Del Mar Huave","San Miguel El Grande Mixtec","San Pedro Amuzgos Amuzgo","Saniyo-Hiyewe","Sankaran Maninka","Sanskrit","Santo Domingo Albarradas Zapotec","Saposa","Saramaccan","Sarangani Blaan","Sarangani Manobo","Sateré-Mawé","Sea Island Creole English","Secoya","Seimat","Selepet","Sena","Sepik Iwam","Serbian","Sharanahua","Shatt","Shipibo-Conibo","Shuar","Siane","Sierra de Juárez Zapotec","Silacayoapan Mixtec","Sinaugoro","Sio","Siona","Siriano","Sirionó","Siroi","Siyin Chin","Sochiapam Chinantec","Somali","Somba-Siawari","Sop","South Azerbaijani","South Bolivian Quechua","South Tairora","South Ucayali Ashéninka","Southeast Ambrym","Southeastern Puebla Nahuatl","Southeastern Tepehuan","Southern Carrier","Southern Conchucos Ancash Quechua","Southern Nambikuára","Southern Pastaza Quechua","Southern Puebla Mixtec","Southern Rincon Zapotec","Southwest Tanna","Southwestern Dinka","Spanish","Sranan Tongo","Standard Arabic","Suau","Suba","Subiya","Sudest","Suena","Sulka","Sunwar","Supyire Senoufo","Sursurunga","Susu","Swahili (individual language)","Swedish","Tabaa Zapotec","Tabasco Chontal","Tabo","Tacana","Tagabawa","Tagalog","Tai","Tajik","Takia","Takuu","Takwane","Tamil","Tangoa","Tanimuca-Retuarã","Tataltepec Chatino","Tatuyo","Taupota","Tawala","Tektiteko","Telefol","Telugu","Tenango Otomi","Tenharim","Tepetotutla Chinantec","Tepeuxila Cuicatec","Tereno","Teribe","Tetelcingo Nahuatl","Tetum","Tetun Dili","Teutila Cuicatec","Tewa (USA)","Texmelucan Zapotec","Tezoatlán Mixtec","Thado Chin","Thai","Thaiphum Chin","Ticuna","Tifal","Tii","Timbe","Tinputz","Tiruray","Tiwi","Tlachichilco Tepehua","Tlahuitoltepec Mixe","Tohono O'odham","Tojolabal","Tok Pisin","Tol","Toma","Tonga (Tonga Islands)","Torres Strait Creole","Tosk Albanian","Totontepec Mixe","Tsikimba","Tsishingini","Tucano","Tuma-Irumu","Tungag","Turkish","Tuyuca","Twi","Tz'utujil","Tzotzil","Uare","Ubir","Ucayali-Yurúa Ashéninka","Uduk","Uighur","Ukrainian","Ulithian","Umanakaina","Umbu-Ungu","Upper Necaxa Totonac","Urarina","Urat","Urdu","Uri","Urim","Uripiv-Wala-Rano-Atchin","Urubú-Kaapor","Usan","Usarufa","Usila Chinantec","Uspanteco","Vidunda","Vietnamese","Vitu","Vlax Romani","Vwanji","Waffa","Waima","Waimaha","Wala","Walmajarri","Wantoat","Waorani","Wapishana","Waris","Warlpiri","Waskia","Wedau","Weri","West Kewa","Western Apache","Western Arrarnta","Western Bolivian Guaraní","Western Bukidnon Manobo","Western Highland Chatino","Western Huasteca Nahuatl","Western Kanjobal","Western Niger Fulfulde","Western Tlacolula Valley Zapotec","Whitesands","Wik-Mungkan","Wipi","Wiru","Wolaytta","Wolof","Worrorra","Woun Meu","Wuvulu-Aua","Xavánte","Xicotepec De Juárez Totonac","Yabem","Yagua","Yakan","Yalunka","Yalálag Zapotec","Yaminahua","Yanesha'","Yanyuwa","Yaouré","Yapese","Yaqui","Yareba","Yatee Zapotec","Yatzachi Zapotec","Yau (Morobe Province)","Yawa","Yaweyuha","Yele","Yessan-Mayo","Yine","Yongkom","Yopno","Yoruba","Yosondúa Mixtec","Yucuna","Zacatlán-Ahuacatlán-Tepetzintla Nahuatl","Zaiwa","Zapotec","Zaramo","Zia","Zigula","Zoogocho Zapotec","Zyphe Chin","Ömie"],"domains":["Religious","Written"],"modalities":["text"],"description":"Partial Bible translations in 829 languages, aligned by verse.","reference":"https://arxiv.org/abs/2304.09919","citation":"\n@article{akerman2023ebible,\n author = {Akerman, Vesa and Baines, David and Daspit, Damien and Hermjakob, Ulf and Jang, Taeho and Leong, Colin and Martin, Michael and Mathew, Joel and Robie, Jonathan and Schwarting, Marcus},\n journal = {arXiv preprint arXiv:2304.09919},\n title = {The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/biblenlp-corpus","license":"cc-by-sa-4.0","dateFrom":"1997-01-01","dateTo":"2020-12-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"BUCC.v2","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["English","French","German","Mandarin Chinese","Russian"],"domains":["Written"],"modalities":["text"],"description":"BUCC bitext mining dataset train split, gold set only.","reference":"https://comparable.limsi.fr/bucc2018/bucc2018-task.html","citation":"\n@inproceedings{zweigenbaum-etal-2017-overview,\n address = {Vancouver, Canada},\n author = {Zweigenbaum, Pierre and\nSharoff, Serge and\nRapp, Reinhard},\n booktitle = {Proceedings of the 10th Workshop on Building and Using Comparable Corpora},\n doi = {10.18653/v1/W17-2512},\n editor = {Sharoff, Serge and\nZweigenbaum, Pierre and\nRapp, Reinhard},\n month = aug,\n pages = {60--67},\n publisher = {Association for Computational Linguistics},\n title = {Overview of the Second {BUCC} Shared Task: Spotting Parallel Sentences in Comparable Corpora},\n url = {https://aclanthology.org/W17-2512},\n year = {2017},\n}\n","isPublic":true,"sourceDataset":"mteb/bucc-bitext-mining","license":"not specified","dateFrom":"2017-01-01","dateTo":"2018-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"human-translated","mainScore":"f1","numModels":0},{"name":"DiaBlaBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["English","French"],"domains":["Social","Written"],"modalities":["text"],"description":"English-French Parallel Corpus. DiaBLa is an English-French dataset for the evaluation of Machine Translation (MT) for informal, written bilingual dialogue.","reference":"https://inria.hal.science/hal-03021633","citation":"\n@article{bawden2021diabla,\n author = {Bawden, Rachel and Bilinski, Eric and Lavergne, Thomas and Rosset, Sophie},\n journal = {Language Resources and Evaluation},\n number = {3},\n pages = {635--660},\n publisher = {Springer},\n title = {DiaBLa: a corpus of bilingual spontaneous written dialogues for machine translation},\n volume = {55},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/DiaBlaBitextMining","license":"cc-by-nc-sa-4.0","dateFrom":"2016-01-01","dateTo":"2017-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"FloresBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Achinese","Afrikaans","Akan","Amharic","Armenian","Assamese","Asturian","Awadhi","Ayacucho Quechua","Balinese","Bambara","Banjar","Bashkir","Basque","Belarusian","Bemba (Zambia)","Bengali","Bhojpuri","Bosnian","Buginese","Bulgarian","Burmese","Catalan","Cebuano","Central Atlas Tamazight","Central Aymara","Central Kanuri","Central Kurdish","Chhattisgarhi","Chinese","Chokwe","Crimean Tatar","Croatian","Czech","Danish","Dari","Dutch","Dyula","Dzongkha","Eastern Yiddish","Egyptian Arabic","English","Esperanto","Estonian","Ewe","Faroese","Fijian","Finnish","Fon","French","Friulian","Galician","Ganda","Georgian","German","Guarani","Gujarati","Haitian","Halh Mongolian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Iloko","Indonesian","Iranian Persian","Irish","Italian","Japanese","Javanese","Kabiyè","Kabuverdianu","Kabyle","Kachin","Kamba (Kenya)","Kannada","Kashmiri","Kazakh","Khmer","Kikuyu","Kimbundu","Kinyarwanda","Kirghiz","Kongo","Korean","Lao","Latgalian","Levantine Arabic","Ligurian","Limburgan","Lingala","Lithuanian","Lombard","Luba-Lulua","Luo (Kenya and Tanzania)","Lushai","Luxembourgish","Macedonian","Magahi","Maithili","Malayalam","Maltese","Manipuri","Maori","Marathi","Mesopotamian Arabic","Minangkabau","Modern Greek (1453-)","Moroccan Arabic","Mossi","Najdi Arabic","Nepali (individual language)","Nigerian Fulfulde","North Azerbaijani","Northern Kurdish","Northern Uzbek","Norwegian Bokmål","Norwegian Nynorsk","Nuer","Nyanja","Occitan (post 1500)","Odia","Pangasinan","Panjabi","Papiamento","Pedi","Plateau Malagasy","Polish","Portuguese","Romanian","Rundi","Russian","Samoan","Sango","Sanskrit","Santali","Sardinian","Scottish Gaelic","Serbian","Shan","Shona","Sicilian","Silesian","Sindhi","Sinhala","Slovak","Slovenian","Somali","South Azerbaijani","South Levantine Arabic","Southern Pashto","Southern Sotho","Southwestern Dinka","Spanish","Standard Arabic","Standard Latvian","Standard Malay","Sundanese","Swahili (individual language)","Swati","Swedish","Ta'izzi-Adeni Arabic","Tagalog","Tajik","Tamasheq","Tamil","Tatar","Telugu","Thai","Tibetan","Tigrinya","Tok Pisin","Tosk Albanian","Tsonga","Tswana","Tumbuka","Tunisian Arabic","Turkish","Turkmen","Twi","Uighur","Ukrainian","Umbundu","Urdu","Venetian","Vietnamese","Waray (Philippines)","Welsh","West Central Oromo","Wolof","Xhosa","Yoruba","Yue Chinese","Zulu"],"domains":["Non-fiction","Encyclopaedic","Written"],"modalities":["text"],"description":"FLORES is a benchmark dataset for machine translation between English and low-resource languages.","reference":"https://huggingface.co/datasets/facebook/flores","citation":"\n@inproceedings{goyal2022flores,\n author = {Goyal, Naman and Gao, Cynthia and Chaudhary, Vishrav and Chen, Peng-Jen and Wenzek, Guillaume and Ju, Da and Krishnan, Sanjana and Ranzato, Marc'Aurelio and Guzm{\\'a}n, Francisco},\n booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},\n pages = {19--35},\n title = {The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/FloresBitextMining","license":"cc-by-sa-4.0","dateFrom":"2022-01-01","dateTo":"2022-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"IN22GenBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Assamese","Bengali","Bodo (India)","Dogri (macrolanguage)","English","Goan Konkani","Gujarati","Hindi","Kannada","Kashmiri","Maithili","Malayalam","Manipuri","Marathi","Nepali (individual language)","Odia","Panjabi","Sanskrit","Santali","Sindhi","Tamil","Telugu","Urdu"],"domains":["Web","Legal","Government","News","Religious","Non-fiction","Written"],"modalities":["text"],"description":"IN22-Gen is a n-way parallel general-purpose multi-domain benchmark dataset for machine translation spanning English and 22 Indic languages.","reference":"https://huggingface.co/datasets/ai4bharat/IN22-Gen","citation":"\n@article{gala2023indictrans,\n author = {Jay Gala and Pranjal A Chitale and A K Raghavan and Varun Gumma and Sumanth Doddapaneni and Aswanth Kumar M and Janki Atul Nawale and Anupama Sujatha and Ratish Puduppully and Vivek Raghavan and Pratyush Kumar and Mitesh M Khapra and Raj Dabre and Anoop Kunchukuttan},\n issn = {2835-8856},\n journal = {Transactions on Machine Learning Research},\n note = {},\n title = {IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages},\n url = {https://openreview.net/forum?id=vfT4YuzAYA},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/IN22GenBitextMining","license":"cc-by-4.0","dateFrom":"2022-10-01","dateTo":"2023-03-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"IndicGenBenchFloresBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Assamese","Awadhi","Bengali","Bhojpuri","Bodo (Central African Republic)","Chhattisgarhi","English","Garhwali","Goan Konkani","Gujarati","Haryanvi","Hindi","Kannada","Maithili","Malayalam","Malvi","Manipuri","Marathi","Marwari","Nepali (macrolanguage)","Odia","Panjabi","Pushto","Rajasthani","Sanskrit","Santali","Tamil","Telugu","Tibetan","Urdu"],"domains":["Web","News","Written"],"modalities":["text"],"description":"Flores-IN dataset is an extension of Flores dataset released as a part of the IndicGenBench by Google","reference":"https://github.com/google-research-datasets/indic-gen-bench/","citation":"\n@misc{singh2024indicgenbench,\n archiveprefix = {arXiv},\n author = {Harman Singh and Nitish Gupta and Shikhar Bharadwaj and Dinesh Tewari and Partha Talukdar},\n eprint = {2404.16816},\n primaryclass = {cs.CL},\n title = {IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/IndicGenBenchFloresBitextMining","license":"cc-by-sa-4.0","dateFrom":"2023-10-01","dateTo":"2024-05-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"human-translated and localized","mainScore":"f1","numModels":0},{"name":"NollySentiBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["English","Hausa","Igbo","Nigerian Pidgin","Yoruba"],"domains":["Social","Reviews","Written"],"modalities":["text"],"description":"NollySenti is Nollywood movie reviews for five languages widely spoken in Nigeria (English, Hausa, Igbo, Nigerian-Pidgin, and Yoruba.","reference":"https://github.com/IyanuSh/NollySenti","citation":"\n@inproceedings{shode2023nollysenti,\n author = {Shode, Iyanuoluwa and Adelani, David Ifeoluwa and Peng, Jing and Feldman, Anna},\n booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},\n pages = {986--998},\n title = {NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/NollySentiBitextMining","license":"cc-by-sa-4.0","dateFrom":"2022-01-01","dateTo":"2023-01-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"NorwegianCourtsBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Norwegian Bokmål","Norwegian Nynorsk"],"domains":["Legal","Written"],"modalities":["text"],"description":"Nynorsk and Bokmål parallel corpus from Norwegian courts. Norwegian courts have two standardised written languages. Bokmål is a variant closer to Danish, while Nynorsk was created to resemble regional dialects of Norwegian.","reference":"https://opus.nlpl.eu/index.php","citation":"\n@inproceedings{opus4,\n author = {Tiedemann, J{\\\"o}rg and Thottingal, Santhosh},\n booktitle = {Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)},\n title = {OPUS-MT — Building open translation services for the World},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/NorwegianCourtsBitextMining","license":"cc-by-4.0","dateFrom":"2020-01-01","dateTo":"2020-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"NTREXBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Afrikaans","Albanian","Amharic","Armenian","Azerbaijani","Bashkir","Basque","Belarusian","Bemba (Zambia)","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Central Kurdish","Chinese","Croatian","Czech","Danish","Dari","Dhivehi","Dutch","Dzongkha","English","Ewe","Faroese","Fijian","Filipino","Finnish","French","Galician","Georgian","German","Gujarati","Hassaniyya","Hausa","Hebrew","Hindi","Hmong","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean","Lao","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Ndebele","Northern Kurdish","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oromo","Panjabi","Pedi","Persian","Polish","Portuguese","Pulaar","Pushto","Romanian","Russian","Samoan","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Standard Arabic","Swahili (macrolanguage)","Swati","Swedish","Tachelhit","Tahitian","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Tigrinya","Tonga (Tonga Islands)","Tswana","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Venda","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Yue Chinese","Zulu"],"domains":["News","Written"],"modalities":["text"],"description":"NTREX is a News Test References dataset for Machine Translation Evaluation, covering translation from English into 128 languages. We select language pairs according to the M2M-100 language grouping strategy, resulting in 1916 directions.","reference":"https://huggingface.co/datasets/davidstap/NTREX","citation":"\n@inproceedings{federmann-etal-2022-ntrex,\n address = {Online},\n author = {Federmann, Christian and Kocmi, Tom and Xin, Ying},\n booktitle = {Proceedings of the First Workshop on Scaling Up Multilingual Evaluation},\n month = {nov},\n pages = {21--24},\n publisher = {Association for Computational Linguistics},\n title = {{NTREX}-128 {--} News Test References for {MT} Evaluation of 128 Languages},\n url = {https://aclanthology.org/2022.sumeval-1.4},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/NTREXBitextMining","license":"cc-by-sa-4.0","dateFrom":"2019-08-01","dateTo":"2022-11-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"human-translated and localized","mainScore":"f1","numModels":0},{"name":"NusaTranslationBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Ambonese Malay","Batak Toba","Betawi","Bima","Indonesian","Javanese","Madurese","Makasar","Minangkabau","Musi","Rejang","Sundanese"],"domains":["Social","Written"],"modalities":["text"],"description":"NusaTranslation is a parallel dataset for machine translation on 11 Indonesia languages and English.","reference":"https://huggingface.co/datasets/indonlp/nusatranslation_mt","citation":"\n@inproceedings{cahyawijaya-etal-2023-nusawrites,\n address = {Nusa Dua, Bali},\n author = {Cahyawijaya, Samuel and Lovenia, Holy and Koto, Fajri and Adhista, Dea and Dave, Emmanuel and Oktavianti, Sarah and Akbar, Salsabil and Lee, Jhonson and Shadieq, Nuur and Cenggoro, Tjeng Wawan and Linuwih, Hanung and Wilie, Bryan and Muridan, Galih and Winata, Genta and Moeljadi, David and Aji, Alham Fikri and Purwarianti, Ayu and Fung, Pascale},\n booktitle = {Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\n editor = {Park, Jong C. and Arase, Yuki and Hu, Baotian and Lu, Wei and Wijaya, Derry and Purwarianti, Ayu and Krisnadhi, Adila Alfa},\n month = nov,\n pages = {921--945},\n publisher = {Association for Computational Linguistics},\n title = {NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages},\n url = {https://aclanthology.org/2023.ijcnlp-main.60},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/NusaTranslationBitextMining","license":"cc-by-sa-4.0","dateFrom":"2021-08-01","dateTo":"2022-07-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"NusaXBitextMining","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Achinese","Balinese","Banjar","Batak Toba","Buginese","English","Indonesian","Javanese","Madurese","Minangkabau","Ngaju","Sundanese"],"domains":["Reviews","Written"],"modalities":["text"],"description":"NusaX is a parallel dataset for machine translation and sentiment analysis on 11 Indonesia languages and English.","reference":"https://huggingface.co/datasets/indonlp/NusaX-senti/","citation":"\n@inproceedings{winata2023nusax,\n author = {Winata, Genta Indra and Aji, Alham Fikri and Cahyawijaya, Samuel and Mahendra, Rahmad and Koto, Fajri and Romadhony, Ade and Kurniawan, Kemal and Moeljadi, David and Prasojo, Radityo Eko and Fung, Pascale and others},\n booktitle = {Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics},\n pages = {815--834},\n title = {NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages},\n year = {2023},\n}\n\n@misc{winata2024miners,\n archiveprefix = {arXiv},\n author = {Genta Indra Winata and Ruochen Zhang and David Ifeoluwa Adelani},\n eprint = {2406.07424},\n primaryclass = {cs.CL},\n title = {MINERS: Multilingual Language Models as Semantic Retrievers},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/NusaXBitextMining","license":"cc-by-sa-4.0","dateFrom":"2021-08-01","dateTo":"2022-07-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"f1","numModels":0},{"name":"Tatoeba","type":"BitextMining","simplifiedType":"semantic-similarity","languages":["Afrikaans","Albanian","Algerian Arabic","Amharic","Arabic","Armenian","Asturian","Awadhi","Azerbaijani","Basque","Belarusian","Bengali","Berber (Other)","Bosnian","Breton","Bulgarian","Catalan","Cebuano","Chamorro","Chavacano","Coastal Kadazan","Cornish","Croatian","Czech","Danish","Dutch","Eastern Mari","Egyptian Arabic","English","Esperanto","Estonian","Faroese","Finnish","French","Galician","Georgian","German","Hebrew","Hindi","Hungarian","Icelandic","Ido","Indonesian","Interlingua (International Auxiliary Language Association)","Interlingue","Iranian Persian","Irish","Italian","Japanese","Javanese","Kabyle","Kadazan Dusun","Kashubian","Kazakh","Khmer","Korean","Kurdish","Latin","Lingua Franca Nova","Lithuanian","Low German","Lower Sorbian","Macedonian","Malayalam","Mandarin Chinese","Marathi","Modern Greek (1453-)","Mongolian","North Moluccan Malay","Norwegian Bokmål","Norwegian Nynorsk","Novial","Occitan (post 1500)","Old English (ca. 450-1100)","Old Russian","Pampanga","Piemontese","Polish","Portuguese","Romanian","Russian","Scottish Gaelic","Serbian","Slovak","Slovenian","Spanish","Standard Latvian","Standard Malay","Swabian","Swahili (individual language)","Swedish","Swiss German","Tagalog","Talossan","Tamil","Tatar","Telugu","Thai","Turkish","Turkmen","Uighur","Ukrainian","Upper Sorbian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","Western Frisian","Wu Chinese","Xhosa","Yiddish","Yue Chinese"],"domains":["Written"],"modalities":["text"],"description":"1,000 English-aligned sentence pairs for each language based on the Tatoeba corpus","reference":"https://github.com/facebookresearch/LASER/tree/main/data/tatoeba/v1","citation":"\n@inproceedings{tiedemann-2020-tatoeba,\n address = {Online},\n author = {Tiedemann, J{\\\"o}rg},\n booktitle = {Proceedings of the Fifth Conference on Machine Translation},\n doi = {10.18653/v1/2020.wmt-1.139},\n month = nov,\n pages = {1174--1182},\n publisher = {Association for Computational Linguistics},\n title = {The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}},\n url = {https://aclanthology.org/2020.wmt-1.139/},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/tatoeba-bitext-mining","license":"cc-by-2.0","dateFrom":"2006-01-01","dateTo":"2021-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"BulgarianStoreReviewSentimentClassfication","type":"Classification","simplifiedType":"classification","languages":["Bulgarian"],"domains":["Reviews","Written"],"modalities":["text"],"description":"Bulgarian online store review dataset for sentiment classification.","reference":"https://doi.org/10.7910/DVN/TXIK9P","citation":"\n@data{DVN/TXIK9P_2018,\n author = {Georgieva-Trifonova, Tsvetanka and Stefanova, Milena and Kalchev, Stefan},\n doi = {10.7910/DVN/TXIK9P},\n publisher = {Harvard Dataverse},\n title = {{Dataset for ``Customer Feedback Text Analysis for Online Stores Reviews in Bulgarian''}},\n url = {https://doi.org/10.7910/DVN/TXIK9P},\n version = {V1},\n year = {2018},\n}\n","isPublic":true,"sourceDataset":"mteb/BulgarianStoreReviewSentimentClassfication","license":"cc-by-4.0","dateFrom":"2018-05-14","dateTo":"2018-05-14","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"CzechProductReviewSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["Czech"],"domains":["Reviews","Written"],"modalities":["text"],"description":"User reviews of products on Czech e-shop Mall.cz with 3 sentiment classes (positive, neutral, negative)","reference":"https://aclanthology.org/W13-1609/","citation":"\n@inproceedings{habernal-etal-2013-sentiment,\n address = {Atlanta, Georgia},\n author = {Habernal, Ivan and\nPt{\\'a}{\\v{c}}ek, Tom{\\'a}{\\v{s}} and\nSteinberger, Josef},\n booktitle = {Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},\n editor = {Balahur, Alexandra and\nvan der Goot, Erik and\nMontoyo, Andres},\n month = jun,\n pages = {65--74},\n publisher = {Association for Computational Linguistics},\n title = {Sentiment Analysis in {C}zech Social Media Using Supervised Machine Learning},\n url = {https://aclanthology.org/W13-1609},\n year = {2013},\n}\n","isPublic":true,"sourceDataset":"mteb/CzechProductReviewSentimentClassification","license":"cc-by-nc-sa-4.0","dateFrom":"2013-01-01","dateTo":"2013-06-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"GreekLegalCodeClassification","type":"Classification","simplifiedType":"classification","languages":["Modern Greek (1453-)"],"domains":["Legal","Written"],"modalities":["text"],"description":"Greek Legal Code Dataset for Classification. (subset = chapter)","reference":"https://arxiv.org/abs/2109.15298","citation":"\n@inproceedings{papaloukas-etal-2021-glc,\n address = {Punta Cana, Dominican Republic},\n author = {Papaloukas, Christos and Chalkidis, Ilias and Athinaios, Konstantinos and Pantazi, Despina-Athanasia and Koubarakis, Manolis},\n booktitle = {Proceedings of the Natural Legal Language Processing Workshop 2021},\n doi = {10.48550/arXiv.2109.15298},\n pages = {63--75},\n publisher = {Association for Computational Linguistics},\n title = {Multi-granular Legal Topic Classification on Greek Legislation},\n url = {https://arxiv.org/abs/2109.15298},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/GreekLegalCodeClassification","license":"cc-by-4.0","dateFrom":"2021-01-01","dateTo":"2021-01-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"DBpediaClassification","type":"Classification","simplifiedType":"classification","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"DBpedia14 is a dataset of English texts from Wikipedia articles, categorized into 14 non-overlapping classes based on their DBpedia ontology.","reference":"https://arxiv.org/abs/1509.01626","citation":"\n@inproceedings{NIPS2015_250cf8b5,\n author = {Zhang, Xiang and Zhao, Junbo and LeCun, Yann},\n booktitle = {Advances in Neural Information Processing Systems},\n editor = {C. Cortes and N. Lawrence and D. Lee and M. Sugiyama and R. Garnett},\n pages = {},\n publisher = {Curran Associates, Inc.},\n title = {Character-level Convolutional Networks for Text Classification},\n url = {https://proceedings.neurips.cc/paper_files/paper/2015/file/250cf8b51c773f3f8dc8b4be867a9a02-Paper.pdf},\n volume = {28},\n year = {2015},\n}\n","isPublic":true,"sourceDataset":"mteb/DBpediaClassification","license":"cc-by-sa-3.0","dateFrom":"2022-01-25","dateTo":"2022-01-25","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"FinancialPhrasebankClassification","type":"Classification","simplifiedType":"classification","languages":["English"],"domains":["News","Written","Financial"],"modalities":["text"],"description":"Polar sentiment dataset of sentences from financial news, categorized by sentiment into positive, negative, or neutral.","reference":"https://arxiv.org/abs/1307.5336","citation":"\n@article{Malo2014GoodDO,\n author = {P. Malo and A. Sinha and P. Korhonen and J. Wallenius and P. Takala},\n journal = {Journal of the Association for Information Science and Technology},\n title = {Good debt or bad debt: Detecting semantic orientations in economic texts},\n volume = {65},\n year = {2014},\n}\n","isPublic":true,"sourceDataset":"mteb/FinancialPhrasebankClassification","license":"cc-by-nc-sa-3.0","dateFrom":"2013-11-01","dateTo":"2013-11-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"PoemSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["English"],"domains":["Reviews","Written"],"modalities":["text"],"description":"Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg.","reference":"https://arxiv.org/abs/2011.02686","citation":"\n@misc{sheng2020investigating,\n archiveprefix = {arXiv},\n author = {Emily Sheng and David Uthus},\n eprint = {2011.02686},\n primaryclass = {cs.CL},\n title = {Investigating Societal Biases in a Poetry Composition System},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/PoemSentimentClassification","license":"cc-by-4.0","dateFrom":"1700-01-01","dateTo":"1900-01-01","annotationsCreators":"human-annotated","dialect":["eng-Latn-US","en-Latn-GB"],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"ToxicConversationsClassification","type":"Classification","simplifiedType":"classification","languages":["English"],"domains":["Social","Written"],"modalities":["text"],"description":"Collection of comments from the Civil Comments platform together with annotations if the comment is toxic or not.","reference":"https://www.kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification/overview","citation":"\n@misc{jigsaw-unintended-bias-in-toxicity-classification,\n author = {cjadams and Daniel Borkan and inversion and Jeffrey Sorensen and Lucas Dixon and Lucy Vasserman and nithum},\n publisher = {Kaggle},\n title = {Jigsaw Unintended Bias in Toxicity Classification},\n url = {https://kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/toxic_conversations_50k","license":"cc-by-4.0","dateFrom":"2017-01-01","dateTo":"2018-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"TweetTopicSingleClassification","type":"Classification","simplifiedType":"classification","languages":["English"],"domains":["Social","News","Written"],"modalities":["text"],"description":"Topic classification dataset on Twitter with 6 labels. Each instance of TweetTopic comes with a timestamp which distributes from September 2019 to August 2021. Tweets were preprocessed before the annotation to normalize some artifacts, converting URLs into a special token {{URL}} and non-verified usernames into {{USERNAME}}. For verified usernames, we replace its display name (or account name) with symbols {@}.","reference":"https://arxiv.org/abs/2209.09824","citation":"\n@inproceedings{antypas-etal-2022-twitter,\n address = {Gyeongju, Republic of Korea},\n archiveprefix = {arXiv},\n author = {Antypas, Dimosthenis and\nUshio, Asahi and\nCamacho-Collados, Jose and\nSilva, Vitor and\nNeves, Leonardo and\nBarbieri, Francesco},\n booktitle = {Proceedings of the 29th International Conference on Computational Linguistics},\n editor = {Calzolari, Nicoletta and\nHuang, Chu-Ren and\nKim, Hansaem and\nPustejovsky, James and\nWanner, Leo and\nChoi, Key-Sun and\nRyu, Pum-Mo and\nChen, Hsin-Hsi and\nDonatelli, Lucia and\nJi, Heng and\nKurohashi, Sadao and\nPaggio, Patrizia and\nXue, Nianwen and\nKim, Seokhwan and\nHahm, Younggyun and\nHe, Zhong and\nLee, Tony Kyungil and\nSantus, Enrico and\nBond, Francis and\nNa, Seung-Hoon},\n eprint = {2209.09824},\n month = oct,\n pages = {3386--3400},\n publisher = {International Committee on Computational Linguistics},\n title = {{T}witter Topic Classification},\n url = {https://aclanthology.org/2022.coling-1.299/},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/TweetTopicSingleClassification","license":"not specified","dateFrom":"2019-09-01","dateTo":"2021-08-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"EstonianValenceClassification","type":"Classification","simplifiedType":"classification","languages":["Estonian"],"domains":["News","Written"],"modalities":["text"],"description":"Dataset containing annotated Estonian news data from the Postimees and Õhtuleht newspapers.","reference":"https://figshare.com/articles/dataset/Estonian_Valence_Corpus_Eesti_valentsikorpus/24517054","citation":"\n@article{Pajupuu2023,\n author = {Hille Pajupuu and Jaan Pajupuu and Rene Altrov and Kairi Tamuri},\n doi = {10.6084/m9.figshare.24517054.v1},\n month = {11},\n title = {{Estonian Valence Corpus / Eesti valentsikorpus}},\n url = {https://figshare.com/articles/dataset/Estonian_Valence_Corpus_Eesti_valentsikorpus/24517054},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/EstonianValenceClassification","license":"cc-by-4.0","dateFrom":"1857-01-01","dateTo":"2023-11-08","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"FilipinoShopeeReviewsClassification","type":"Classification","simplifiedType":"classification","languages":["Filipino"],"domains":["Social","Written"],"modalities":["text"],"description":"The Shopee reviews tl 15 dataset is constructed by randomly taking 2100 training samples and 450 samples for testing and validation for each review star from 1 to 5. In total, there are 10500 training samples and 2250 each in validation and testing samples.","reference":"https://uijrt.com/articles/v4/i8/UIJRTV4I80009.pdf","citation":"\n@article{riegoenhancement,\n author = {Riego, Neil Christian R. and Villarba, Danny Bell and Sison, Ariel Antwaun Rolando C. and Pineda, Fernandez C. and Lagunzad, Herminiño C.},\n issue = {08},\n journal = {United International Journal for Research & Technology},\n pages = {72--82},\n title = {Enhancement to Low-Resource Text Classification via Sequential Transfer Learning},\n volume = {04},\n}\n","isPublic":true,"sourceDataset":"mteb/FilipinoShopeeReviewsClassification","license":"mpl-2.0","dateFrom":"2022-05-13","dateTo":"2023-05-13","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"GujaratiNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Gujarati"],"domains":["News","Written"],"modalities":["text"],"description":"A Gujarati dataset for 3-class classification of Gujarati news articles","reference":"https://github.com/goru001/nlp-for-gujarati","citation":"","isPublic":true,"sourceDataset":"mteb/GujaratiNewsClassification","license":"mit","dateFrom":"2014-01-01","dateTo":"2018-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"SentimentAnalysisHindi","type":"Classification","simplifiedType":"classification","languages":["Hindi"],"domains":["Reviews","Written"],"modalities":["text"],"description":"Hindi Sentiment Analysis Dataset","reference":"https://huggingface.co/datasets/OdiaGenAI/sentiment_analysis_hindi","citation":"","isPublic":true,"sourceDataset":"mteb/SentimentAnalysisHindi","license":"cc-by-nc-sa-4.0","dateFrom":"2023-09-15","dateTo":"2023-10-16","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"IndonesianIdClickbaitClassification","type":"Classification","simplifiedType":"classification","languages":["Indonesian"],"domains":["News","Written"],"modalities":["text"],"description":"The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news publishers.","reference":"http://www.sciencedirect.com/science/article/pii/S2352340920311252","citation":"\n@article{WILLIAM2020106231,\n author = {Andika William and Yunita Sari},\n doi = {https://doi.org/10.1016/j.dib.2020.106231},\n issn = {2352-3409},\n journal = {Data in Brief},\n keywords = {Indonesian, Natural Language Processing, News articles, Clickbait, Text-classification},\n pages = {106231},\n title = {CLICK-ID: A novel dataset for Indonesian clickbait headlines},\n url = {http://www.sciencedirect.com/science/article/pii/S2352340920311252},\n volume = {32},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/IndonesianIdClickbaitClassification","license":"cc-by-4.0","dateFrom":"2020-10-01","dateTo":"2020-10-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"ItaCaseholdClassification","type":"Classification","simplifiedType":"classification","languages":["Italian"],"domains":["Legal","Government","Written"],"modalities":["text"],"description":"An Italian Dataset consisting of 1101 pairs of judgments and their official holdings between the years 2019 and 2022 from the archives of Italian Administrative Justice categorized with 64 subjects.","reference":"https://doi.org/10.1145/3594536.3595177","citation":"\n@inproceedings{10.1145/3594536.3595177,\n address = {New York, NY, USA},\n author = {Licari, Daniele and Bushipaka, Praveen and Marino, Gabriele and Comand\\'{e}, Giovanni and Cucinotta, Tommaso},\n booktitle = {Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law},\n doi = {10.1145/3594536.3595177},\n isbn = {9798400701979},\n keywords = {Italian-LEGAL-BERT, Holding Extraction, Extractive Text Summarization, Benchmark Dataset},\n location = {, Braga, Portugal, },\n numpages = {9},\n pages = {148–156},\n publisher = {Association for Computing Machinery},\n series = {ICAIL '23},\n title = {Legal Holding Extraction from Italian Case Documents using Italian-LEGAL-BERT Text Summarization},\n url = {https://doi.org/10.1145/3594536.3595177},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/ItaCaseholdClassification","license":"apache-2.0","dateFrom":"2019-01-01","dateTo":"2022-12-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"KorSarcasmClassification","type":"Classification","simplifiedType":"classification","languages":["Korean"],"domains":["Social","Written"],"modalities":["text"],"description":"The Korean Sarcasm Dataset was created to detect sarcasm in text, which can significantly alter the original meaning of a sentence. 9319 tweets were collected from Twitter and labeled for sarcasm or not_sarcasm. These tweets were gathered by querying for: irony sarcastic, and sarcasm. The dataset was created by gathering HTML data from Twitter. Queries for hashtags that include sarcasm and variants of it were used to return tweets. It was preprocessed by removing the keyword hashtag, urls and mentions of the user to preserve anonymity.","reference":"https://github.com/SpellOnYou/korean-sarcasm","citation":"","isPublic":true,"sourceDataset":"mteb/KorSarcasmClassification","license":"mit","dateFrom":"2018-10-31","dateTo":"2019-09-28","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"KurdishSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["Kurdish"],"domains":["Web","Written"],"modalities":["text"],"description":"Kurdish Sentiment Dataset","reference":"https://link.springer.com/article/10.1007/s10579-023-09716-6","citation":"\n@article{badawi2024kurdisent,\n author = {Badawi, Soran and Kazemi, Arefeh and Rezaie, Vali},\n doi = {10.1007/s10579-023-09716-6},\n journal = {Language Resources and Evaluation},\n month = {01},\n pages = {1-20},\n title = {KurdiSent: a corpus for kurdish sentiment analysis},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/KurdishSentimentClassification","license":"cc-by-4.0","dateFrom":"2023-01-01","dateTo":"2024-01-02","annotationsCreators":"derived","dialect":["Sorani"],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"MacedonianTweetSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["Macedonian"],"domains":["Social","Written"],"modalities":["text"],"description":"An Macedonian dataset for tweet sentiment classification.","reference":"https://aclanthology.org/R15-1034/","citation":"\n@inproceedings{jovanoski-etal-2015-sentiment,\n address = {Hissar, Bulgaria},\n author = {Jovanoski, Dame and\nPachovski, Veno and\nNakov, Preslav},\n booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing},\n editor = {Mitkov, Ruslan and\nAngelova, Galia and\nBontcheva, Kalina},\n month = sep,\n pages = {249--257},\n publisher = {INCOMA Ltd. Shoumen, BULGARIA},\n title = {Sentiment Analysis in {T}witter for {M}acedonian},\n url = {https://aclanthology.org/R15-1034},\n year = {2015},\n}\n","isPublic":true,"sourceDataset":"mteb/MacedonianTweetSentimentClassification","license":"cc-by-nc-sa-3.0","dateFrom":"2014-11-01","dateTo":"2015-04-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"AfriSentiClassification","type":"Classification","simplifiedType":"classification","languages":["Algerian Arabic","Amharic","Hausa","Igbo","Kinyarwanda","Moroccan Arabic","Nigerian Pidgin","Portuguese","Swahili (macrolanguage)","Tsonga","Twi","Yoruba"],"domains":["Social","Written"],"modalities":["text"],"description":"AfriSenti is the largest sentiment analysis dataset for under-represented African languages.","reference":"https://arxiv.org/abs/2302.08956","citation":"\n@inproceedings{Muhammad2023AfriSentiAT,\n author = {Shamsuddeen Hassan Muhammad and Idris Abdulmumin and Abinew Ali Ayele and Nedjma Ousidhoum and David Ifeoluwa Adelani and Seid Muhie Yimam and Ibrahim Sa'id Ahmad and Meriem Beloucif and Saif Mohammad and Sebastian Ruder and Oumaima Hourrane and Pavel Brazdil and Felermino D'ario M'ario Ant'onio Ali and Davis Davis and Salomey Osei and Bello Shehu Bello and Falalu Ibrahim and Tajuddeen Gwadabe and Samuel Rutunda and Tadesse Belay and Wendimu Baye Messelle and Hailu Beshada Balcha and Sisay Adugna Chala and Hagos Tesfahun Gebremichael and Bernard Opoku and Steven Arthur},\n title = {AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/AfriSentiClassification","license":"cc-by-4.0","dateFrom":"2023-02-16","dateTo":"2023-09-03","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"AmazonCounterfactualClassification","type":"Classification","simplifiedType":"classification","languages":["English","German","Japanese"],"domains":["Reviews","Written"],"modalities":["text"],"description":"A collection of Amazon customer reviews annotated for counterfactual detection pair classification.","reference":"https://arxiv.org/abs/2104.06893","citation":"\n@inproceedings{oneill-etal-2021-wish,\n address = {Online and Punta Cana, Dominican Republic},\n author = {O{'}Neill, James and\nRozenshtein, Polina and\nKiryo, Ryuichi and\nKubota, Motoko and\nBollegala, Danushka},\n booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},\n doi = {10.18653/v1/2021.emnlp-main.568},\n editor = {Moens, Marie-Francine and\nHuang, Xuanjing and\nSpecia, Lucia and\nYih, Scott Wen-tau},\n month = nov,\n pages = {7092--7108},\n publisher = {Association for Computational Linguistics},\n title = {{I} Wish {I} Would Have Loved This One, But {I} Didn{'}t {--} A Multilingual Dataset for Counterfactual Detection in Product Review},\n url = {https://aclanthology.org/2021.emnlp-main.568},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/amazon_counterfactual","license":"cc-by-4.0","dateFrom":"2018-01-01","dateTo":"2021-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"CataloniaTweetClassification","type":"Classification","simplifiedType":"classification","languages":["Catalan","Spanish"],"domains":["Social","Government","Written"],"modalities":["text"],"description":"This dataset contains two corpora in Spanish and Catalan that consist of annotated Twitter messages for automatic stance detection. The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia. Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia.","reference":"https://aclanthology.org/2020.lrec-1.171/","citation":"\n@inproceedings{zotova-etal-2020-multilingual,\n author = {Zotova, Elena and\nAgerri, Rodrigo and\nNu{\\~n}ez, Manuel and\nRigau, German},\n booktitle = {Proceedings of the Twelfth Language Resources and Evaluation Conference},\n editor = {Calzolari, Nicoletta and\nB{\\'e}chet, Fr{\\'e}d{\\'e}ric and\nBlache, Philippe and\nChoukri, Khalid and\nCieri, Christopher and\nDeclerck, Thierry and\nGoggi, Sara and\nIsahara, Hitoshi and\nMaegaard, Bente and\nMariani, Joseph and\nMazo, H{\\'e}l{\\`e}ne and\nMoreno, Asuncion and\nOdijk, Jan and\nPiperidis, Stelios},\n isbn = {979-10-95546-34-4},\n month = may,\n pages = {1368--1375},\n publisher = {European Language Resources Association},\n title = {Multilingual Stance Detection in Tweets: The {C}atalonia Independence Corpus},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/CataloniaTweetClassification","license":"cc-by-sa-4.0","dateFrom":"2018-09-01","dateTo":"2029-03-30","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"accuracy","numModels":0},{"name":"CyrillicTurkicLangClassification","type":"Classification","simplifiedType":"classification","languages":["Bashkir","Chuvash","Karachay-Balkar","Kazakh","Kirghiz","Russian","Tatar","Tuvinian","Yakut"],"domains":["Web","Written"],"modalities":["text"],"description":"Cyrillic dataset of 8 Turkic languages spoken in Russia and former USSR","reference":"https://huggingface.co/datasets/tatiana-merz/cyrillic_turkic_langs","citation":"\n@inproceedings{goldhahn2012building,\n author = {Goldhahn, Dirk and Eckart, Thomas and Quasthoff, Uwe},\n booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)},\n title = {Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages},\n year = {2012},\n}\n","isPublic":true,"sourceDataset":"mteb/CyrillicTurkicLangClassification","license":"cc-by-nc-4.0","dateFrom":"1998-01-01","dateTo":"2012-05-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"IndicLangClassification","type":"Classification","simplifiedType":"classification","languages":["Assamese","Bengali","Bodo (India)","Dogri (macrolanguage)","Goan Konkani","Gujarati","Hindi","Kannada","Kashmiri","Maithili","Malayalam","Manipuri","Marathi","Nepali (individual language)","Odia","Panjabi","Sanskrit","Santali","Sindhi","Tamil","Telugu","Urdu"],"domains":["Web","Non-fiction","Written"],"modalities":["text"],"description":"A language identification test set for native-script as well as Romanized text which spans 22 Indic languages.","reference":"https://arxiv.org/abs/2305.15814","citation":"\n@inproceedings{madhani-etal-2023-bhasa,\n address = {Toronto, Canada},\n author = {Madhani, Yash and\nKhapra, Mitesh M. and\nKunchukuttan, Anoop},\n booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},\n doi = {10.18653/v1/2023.acl-short.71},\n editor = {Rogers, Anna and\nBoyd-Graber, Jordan and\nOkazaki, Naoaki},\n month = jul,\n pages = {816--826},\n publisher = {Association for Computational Linguistics},\n title = {Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 {I}ndic languages},\n url = {https://aclanthology.org/2023.acl-short.71},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/IndicLangClassification","license":"cc0-1.0","dateFrom":"2022-08-01","dateTo":"2023-01-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"accuracy","numModels":0},{"name":"MasakhaNEWSClassification","type":"Classification","simplifiedType":"classification","languages":["Amharic","English","French","Ganda","Hausa","Igbo","Lingala","Nigerian Pidgin","Oromo","Rundi","Shona","Somali","Swahili (macrolanguage)","Tigrinya","Xhosa","Yoruba"],"domains":["News","Written"],"modalities":["text"],"description":"MasakhaNEWS is the largest publicly available dataset for news topic classification in 16 languages widely spoken in Africa. The train/validation/test sets are available for all the 16 languages.","reference":"https://arxiv.org/abs/2304.09972","citation":"\n@misc{adelani2023masakhanews,\n archiveprefix = {arXiv},\n author = {David Ifeoluwa Adelani and Marek Masiak and Israel Abebe Azime and Jesujoba Alabi and Atnafu Lambebo Tonja and Christine Mwase and Odunayo Ogundepo and Bonaventure F. P. Dossou and Akintunde Oladipo and Doreen Nixdorf and Chris Chinenye Emezue and sana al-azzawi and Blessing Sibanda and Davis David and Lolwethu Ndolela and Jonathan Mukiibi and Tunde Ajayi and Tatiana Moteu and Brian Odhiambo and Abraham Owodunni and Nnaemeka Obiefuna and Muhidin Mohamed and Shamsuddeen Hassan Muhammad and Teshome Mulugeta Ababu and Saheed Abdullahi Salahudeen and Mesay Gemeda Yigezu and Tajuddeen Gwadabe and Idris Abdulmumin and Mahlet Taye and Oluwabusayo Awoyomi and Iyanuoluwa Shode and Tolulope Adelani and Habiba Abdulganiyu and Abdul-Hakeem Omotayo and Adetola Adeeko and Abeeb Afolabi and Anuoluwapo Aremu and Olanrewaju Samuel and Clemencia Siro and Wangari Kimotho and Onyekachi Ogbu and Chinedu Mbonu and Chiamaka Chukwuneke and Samuel Fanijo and Jessica Ojo and Oyinkansola Awosan and Tadesse Kebede and Toadoum Sari Sakayo and Pamela Nyatsine and Freedmore Sidume and Oreen Yousuf and Mardiyyah Oduwole and Tshinu Tshinu and Ussen Kimanuka and Thina Diko and Siyanda Nxakama and Sinodos Nigusse and Abdulmejid Johar and Shafie Mohamed and Fuad Mire Hassan and Moges Ahmed Mehamed and Evrard Ngabire and Jules Jules and Ivan Ssenkungu and Pontus Stenetorp},\n eprint = {2304.09972},\n primaryclass = {cs.CL},\n title = {MasakhaNEWS: News Topic Classification for African languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/masakhanews","license":"cc-by-nc-4.0","dateFrom":"2023-01-01","dateTo":"2023-04-19","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"MassiveIntentClassification","type":"Classification","simplifiedType":"classification","languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Bengali","Burmese","Central Mnong","Danish","Dutch","English","Finnish","French","Georgian","German","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Khmer","Korean","Latvian","Malay (macrolanguage)","Malayalam","Modern Greek (1453-)","Mongolian","Norwegian Bokmål","Persian","Polish","Portuguese","Romanian","Russian","Slovenian","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Urdu","Vietnamese","Welsh"],"domains":["Spoken"],"modalities":["text"],"description":"MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages","reference":"https://arxiv.org/abs/2204.08582","citation":"\n@misc{fitzgerald2022massive,\n archiveprefix = {arXiv},\n author = {Jack FitzGerald and Christopher Hench and Charith Peris and Scott Mackie and Kay Rottmann and Ana Sanchez and Aaron Nash and Liam Urbach and Vishesh Kakarala and Richa Singh and Swetha Ranganath and Laurie Crist and Misha Britan and Wouter Leeuwis and Gokhan Tur and Prem Natarajan},\n eprint = {2204.08582},\n primaryclass = {cs.CL},\n title = {MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/amazon_massive_intent","license":"apache-2.0","dateFrom":"2022-01-01","dateTo":"2022-04-22","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"human-translated and localized","mainScore":"accuracy","numModels":0},{"name":"MultiHateClassification","type":"Classification","simplifiedType":"classification","languages":["Arabic","Dutch","English","French","German","Hindi","Italian","Mandarin Chinese","Polish","Portuguese","Spanish"],"domains":["Constructed","Written"],"modalities":["text"],"description":"Hate speech detection dataset with binary (hateful vs non-hateful) labels. Includes 25+ distinct types of hate and challenging non-hate, and 11 languages.","reference":"https://aclanthology.org/2022.woah-1.15/","citation":"\n@inproceedings{rottger-etal-2021-hatecheck,\n address = {Online},\n author = {R{\\\"o}ttger, Paul and\nVidgen, Bertie and\nNguyen, Dong and\nWaseem, Zeerak and\nMargetts, Helen and\nPierrehumbert, Janet},\n booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},\n doi = {10.18653/v1/2021.acl-long.4},\n editor = {Zong, Chengqing and\nXia, Fei and\nLi, Wenjie and\nNavigli, Roberto},\n month = aug,\n pages = {41--58},\n publisher = {Association for Computational Linguistics},\n title = {{H}ate{C}heck: Functional Tests for Hate Speech Detection Models},\n url = {https://aclanthology.org/2021.acl-long.4},\n year = {2021},\n}\n\n@inproceedings{rottger-etal-2022-multilingual,\n address = {Seattle, Washington (Hybrid)},\n author = {R{\\\"o}ttger, Paul and\nSeelawi, Haitham and\nNozza, Debora and\nTalat, Zeerak and\nVidgen, Bertie},\n booktitle = {Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)},\n doi = {10.18653/v1/2022.woah-1.15},\n editor = {Narang, Kanika and\nMostafazadeh Davani, Aida and\nMathias, Lambert and\nVidgen, Bertie and\nTalat, Zeerak},\n month = jul,\n pages = {154--169},\n publisher = {Association for Computational Linguistics},\n title = {Multilingual {H}ate{C}heck: Functional Tests for Multilingual Hate Speech Detection Models},\n url = {https://aclanthology.org/2022.woah-1.15},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/multi-hatecheck","license":"cc-by-4.0","dateFrom":"2020-11-23","dateTo":"2022-02-28","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"accuracy","numModels":0},{"name":"NordicLangClassification","type":"Classification","simplifiedType":"classification","languages":["Danish","Faroese","Icelandic","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"domains":["Encyclopaedic"],"modalities":["text"],"description":"A dataset for Nordic language identification.","reference":"https://aclanthology.org/2021.vardial-1.8/","citation":"\n@inproceedings{haas-derczynski-2021-discriminating,\n address = {Kiyv, Ukraine},\n archiveprefix = {arXiv},\n author = {Haas, Ren{\\'e} and\nDerczynski, Leon},\n booktitle = {Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects},\n editor = {Zampieri, Marcos and\nNakov, Preslav and\nLjube{\\v{s}}i{\\'c}, Nikola and\nTiedemann, J{\\\"o}rg and\nScherrer, Yves and\nJauhiainen, Tommi},\n eprint = {2012.06431},\n month = apr,\n pages = {67--75},\n publisher = {Association for Computational Linguistics},\n title = {Discriminating Between Similar {N}ordic Languages},\n url = {https://aclanthology.org/2021.vardial-1.8},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/NordicLangClassification","license":"cc-by-sa-3.0","dateFrom":"2020-01-01","dateTo":"2021-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"NusaParagraphEmotionClassification","type":"Classification","simplifiedType":"classification","languages":["Batak Toba","Betawi","Buginese","Javanese","Madurese","Makasar","Minangkabau","Musi","Rejang","Sundanese"],"domains":["Non-fiction","Fiction","Written"],"modalities":["text"],"description":"NusaParagraphEmotionClassification is a multi-class emotion classification on 10 Indonesian languages from the NusaParagraph dataset.","reference":"https://github.com/IndoNLP/nusa-writes","citation":"\n@inproceedings{cahyawijaya-etal-2023-nusawrites,\n address = {Nusa Dua, Bali},\n author = {Cahyawijaya, Samuel and Lovenia, Holy and Koto, Fajri and Adhista, Dea and Dave, Emmanuel and Oktavianti, Sarah and Akbar, Salsabil and Lee, Jhonson and Shadieq, Nuur and Cenggoro, Tjeng Wawan and Linuwih, Hanung and Wilie, Bryan and Muridan, Galih and Winata, Genta and Moeljadi, David and Aji, Alham Fikri and Purwarianti, Ayu and Fung, Pascale},\n booktitle = {Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\n editor = {Park, Jong C. and Arase, Yuki and Hu, Baotian and Lu, Wei and Wijaya, Derry and Purwarianti, Ayu and Krisnadhi, Adila Alfa},\n month = nov,\n pages = {921--945},\n publisher = {Association for Computational Linguistics},\n title = {NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages},\n url = {https://aclanthology.org/2023.ijcnlp-main.60},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/NusaParagraphEmotionClassification","license":"apache-2.0","dateFrom":"2021-08-01","dateTo":"2022-07-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"NusaX-senti","type":"Classification","simplifiedType":"classification","languages":["Achinese","Balinese","Banjar","Batak Toba","Buginese","English","Indonesian","Javanese","Madurese","Minangkabau","Ngaju","Sundanese"],"domains":["Reviews","Web","Social","Constructed","Written"],"modalities":["text"],"description":"NusaX is a high-quality multilingual parallel corpus that covers 12 languages, Indonesian, English, and 10 Indonesian local languages, namely Acehnese, Balinese, Banjarese, Buginese, Madurese, Minangkabau, Javanese, Ngaju, Sundanese, and Toba Batak. NusaX-Senti is a 3-labels (positive, neutral, negative) sentiment analysis dataset for 10 Indonesian local languages + Indonesian and English.","reference":"https://arxiv.org/abs/2205.15960","citation":"\n@inproceedings{winata2023nusax,\n author = {Winata, Genta Indra and Aji, Alham Fikri and Cahyawijaya, Samuel and Mahendra, Rahmad and Koto, Fajri and Romadhony, Ade and Kurniawan, Kemal and Moeljadi, David and Prasojo, Radityo Eko and Fung, Pascale and others},\n booktitle = {Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics},\n pages = {815--834},\n title = {NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/NusaX-senti","license":"cc-by-sa-4.0","dateFrom":"2022-05-01","dateTo":"2023-05-08","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"ScalaClassification","type":"Classification","simplifiedType":"classification","languages":["Danish","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"domains":["Fiction","News","Non-fiction","Blog","Spoken","Web","Written"],"modalities":["text"],"description":"ScaLa a linguistic acceptability dataset for the mainland Scandinavian languages automatically constructed from dependency annotations in Universal Dependencies Treebanks. Published as part of 'ScandEval: A Benchmark for Scandinavian Natural Language Processing'","reference":"https://aclanthology.org/2023.nodalida-1.20/","citation":"\n@inproceedings{nielsen-2023-scandeval,\n address = {T{\\'o}rshavn, Faroe Islands},\n author = {Nielsen, Dan},\n booktitle = {Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)},\n editor = {Alum{\\\"a}e, Tanel and\nFishel, Mark},\n month = may,\n pages = {185--201},\n publisher = {University of Tartu Library},\n title = {{S}cand{E}val: A Benchmark for {S}candinavian Natural Language Processing},\n url = {https://aclanthology.org/2023.nodalida-1.20},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/multilingual-scala-classification","license":"cc-by-sa-4.0","dateFrom":"1990-01-01","dateTo":"2023-01-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"accuracy","numModels":0},{"name":"SwissJudgementClassification","type":"Classification","simplifiedType":"classification","languages":["French","German","Italian"],"domains":["Legal","Written"],"modalities":["text"],"description":"Multilingual, diachronic dataset of Swiss Federal Supreme Court cases annotated with the respective binarized judgment outcome (approval/dismissal)","reference":"https://aclanthology.org/2021.nllp-1.3/","citation":"\n@misc{niklaus2022empirical,\n archiveprefix = {arXiv},\n author = {Joel Niklaus and Matthias Stürmer and Ilias Chalkidis},\n eprint = {2209.12325},\n primaryclass = {cs.CL},\n title = {An Empirical Study on Cross-X Transfer for Legal Judgment Prediction},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/SwissJudgementClassification","license":"cc-by-4.0","dateFrom":"2020-12-15","dateTo":"2022-04-08","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"NepaliNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Nepali (macrolanguage)"],"domains":["News","Written"],"modalities":["text"],"description":"A Nepali dataset for 7500 news articles ","reference":"https://github.com/goru001/nlp-for-nepali","citation":"\n@inproceedings{arora-2020-inltk,\n address = {Online},\n author = {Arora, Gaurav},\n booktitle = {Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)},\n doi = {10.18653/v1/2020.nlposs-1.10},\n editor = {Park, Eunjeong L. and\nHagiwara, Masato and\nMilajevs, Dmitrijs and\nLiu, Nelson F. and\nChauhan, Geeticka and\nTan, Liling},\n month = nov,\n pages = {66--71},\n publisher = {Association for Computational Linguistics},\n title = {i{NLTK}: Natural Language Toolkit for Indic Languages},\n url = {https://aclanthology.org/2020.nlposs-1.10},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/NepaliNewsClassification","license":"cc-by-sa-4.0","dateFrom":"2019-01-01","dateTo":"2020-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"OdiaNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Odia"],"domains":["News","Written"],"modalities":["text"],"description":"A Odia dataset for 3-class classification of Odia news articles","reference":"https://github.com/goru001/nlp-for-odia","citation":"\n@article{kunchukuttan2020indicnlpcorpus,\n author = {Anoop Kunchukuttan and Divyanshu Kakwani and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},\n journal = {arXiv preprint arXiv:2005.00085},\n title = {AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/OdiaNewsClassification","license":"mit","dateFrom":"2014-01-01","dateTo":"2018-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"f1","numModels":0},{"name":"PunjabiNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Panjabi"],"domains":["News","Written"],"modalities":["text"],"description":"A Punjabi dataset for 2-class classification of Punjabi news articles","reference":"https://github.com/goru001/nlp-for-punjabi/","citation":"\n@article{kunchukuttan2020indicnlpcorpus,\n author = {Anoop Kunchukuttan and Divyanshu Kakwani and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},\n journal = {arXiv preprint arXiv:2005.00085},\n title = {AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/PunjabiNewsClassification","license":"mit","dateFrom":"2014-01-01","dateTo":"2018-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"PolEmo2.0-OUT","type":"Classification","simplifiedType":"classification","languages":["Polish"],"domains":["Written","Social"],"modalities":["text"],"description":"A collection of Polish online reviews from four domains: medicine, hotels, products and school. The PolEmo2.0-OUT task is to predict the sentiment of out-of-domain (products and school) reviews using models train on reviews from medicine and hotels domains.","reference":"https://aclanthology.org/K19-1092.pdf","citation":"\n@inproceedings{kocon-etal-2019-multi,\n address = {Hong Kong, China},\n author = {Koco{\\'n}, Jan and\nMi{\\l}kowski, Piotr and\nZa{\\'s}ko-Zieli{\\'n}ska, Monika},\n booktitle = {Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)},\n doi = {10.18653/v1/K19-1092},\n month = nov,\n pages = {980--991},\n publisher = {Association for Computational Linguistics},\n title = {Multi-Level Sentiment Analysis of {P}ol{E}mo 2.0: Extended Corpus of Multi-Domain Consumer Reviews},\n url = {https://aclanthology.org/K19-1092},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/PolEmo2.0-OUT","license":"cc-by-sa-4.0","dateFrom":"2004-01-01","dateTo":"2019-05-30","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"PAC","type":"Classification","simplifiedType":"classification","languages":["Polish"],"domains":["Legal","Written"],"modalities":["text"],"description":"Polish Paraphrase Corpus","reference":"https://arxiv.org/pdf/2211.13112.pdf","citation":"\n@misc{augustyniak2022waydesigningcompilinglepiszcze,\n archiveprefix = {arXiv},\n author = {Łukasz Augustyniak and Kamil Tagowski and Albert Sawczyn and Denis Janiak and Roman Bartusiak and Adrian Szymczak and Marcin Wątroba and Arkadiusz Janz and Piotr Szymański and Mikołaj Morzy and Tomasz Kajdanowicz and Maciej Piasecki},\n eprint = {2211.13112},\n primaryclass = {cs.CL},\n title = {This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish},\n url = {https://arxiv.org/abs/2211.13112},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/PAC","license":"cc-by-nc-sa-4.0","dateFrom":"2021-01-01","dateTo":"2021-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"SinhalaNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Sinhala"],"domains":["News","Written"],"modalities":["text"],"description":"This file contains news texts (sentences) belonging to 5 different news categories (political, business, technology, sports and Entertainment). The original dataset was released by Nisansa de Silva (Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015).","reference":"https://huggingface.co/datasets/NLPC-UOM/Sinhala-News-Category-classification","citation":"\n@article{de2015sinhala,\n author = {de Silva, Nisansa},\n journal = {ResearchGate},\n title = {Sinhala text classification: observations from the perspective of a resource poor language},\n year = {2015},\n}\n\n@inproceedings{dhananjaya2022bertifying,\n author = {Dhananjaya, Vinura and Demotte, Piyumal and Ranathunga, Surangika and Jayasena, Sanath},\n booktitle = {Proceedings of the thirteenth language resources and evaluation conference},\n pages = {7377--7385},\n title = {BERTifying Sinhala-a comprehensive analysis of pre-trained language models for Sinhala text classification},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/SinhalaNewsClassification","license":"mit","dateFrom":"2019-03-17","dateTo":"2020-08-06","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"CSFDSKMovieReviewSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["Slovak"],"domains":["Reviews","Written"],"modalities":["text"],"description":"The dataset contains 30k user reviews from csfd.cz in Slovak.","reference":"https://arxiv.org/abs/2304.01922","citation":"\n@misc{štefánik2023resources,\n archiveprefix = {arXiv},\n author = {Michal Štefánik and Marek Kadlčík and Piotr Gramacki and Petr Sojka},\n eprint = {2304.01922},\n primaryclass = {cs.CL},\n title = {Resources and Few-shot Learners for In-context Learning in Slavic Languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/CSFDSKMovieReviewSentimentClassification","license":"cc-by-sa-4.0","dateFrom":"2002-05-21","dateTo":"2020-03-05","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"SiswatiNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Swati"],"domains":["News","Written"],"modalities":["text"],"description":"Siswati News Classification Dataset","reference":"https://huggingface.co/datasets/dsfsi/za-isizulu-siswati-news","citation":"\n@article{Madodonga_Marivate_Adendorff_2023,\n author = {Madodonga, Andani and Marivate, Vukosi and Adendorff, Matthew},\n doi = {10.55492/dhasa.v4i01.4449},\n month = {Jan.},\n title = {Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati},\n url = {https://upjournals.up.ac.za/index.php/dhasa/article/view/4449},\n volume = {4},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/SiswatiNewsClassification","license":"cc-by-sa-4.0","dateFrom":"2022-08-01","dateTo":"2022-08-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"SlovakMovieReviewSentimentClassification","type":"Classification","simplifiedType":"classification","languages":["Slovak"],"domains":["Reviews","Written"],"modalities":["text"],"description":"User reviews of movies on the CSFD movie database, with 2 sentiment classes (positive, negative)","reference":"https://arxiv.org/pdf/2304.01922","citation":"\n@misc{štefánik2023resources,\n archiveprefix = {arXiv},\n author = {Michal Štefánik and Marek Kadlčík and Piotr Gramacki and Petr Sojka},\n eprint = {2304.01922},\n primaryclass = {cs.CL},\n title = {Resources and Few-shot Learners for In-context Learning in Slavic Languages},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/SlovakMovieReviewSentimentClassification","license":"cc-by-nc-sa-4.0","dateFrom":"2002-05-21","dateTo":"2020-03-05","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"SwahiliNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Swahili (macrolanguage)"],"domains":["News","Written"],"modalities":["text"],"description":"Dataset for Swahili News Classification, categorized with 6 domains (Local News (Kitaifa), International News (Kimataifa), Finance News (Uchumi), Health News (Afya), Sports News (Michezo), and Entertainment News (Burudani)). Building and Optimizing Swahili Language Models: Techniques, Embeddings, and Datasets","reference":"https://huggingface.co/datasets/Mollel/SwahiliNewsClassification","citation":"\n@dataset{davis_david_2020_5514203,\n author = {Davis David},\n doi = {10.5281/zenodo.5514203},\n month = dec,\n publisher = {Zenodo},\n title = {Swahili : News Classification Dataset},\n url = {https://doi.org/10.5281/zenodo.5514203},\n version = {0.2},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/SwahiliNewsClassification","license":"cc-by-nc-sa-4.0","dateFrom":"2019-01-01","dateTo":"2023-05-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"DalajClassification","type":"Classification","simplifiedType":"classification","languages":["Swedish"],"domains":["Non-fiction","Written"],"modalities":["text"],"description":"A Swedish dataset for linguistic acceptability. Available as a part of Superlim.","reference":"https://spraakbanken.gu.se/en/resources/superlim","citation":"\n@misc{2105.06681,\n author = {Elena Volodina and Yousuf Ali Mohammed and Julia Klezl},\n eprint = {arXiv:2105.06681},\n title = {DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/DalajClassification","license":"cc-by-4.0","dateFrom":"2017-01-01","dateTo":"2020-12-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"accuracy","numModels":0},{"name":"TswanaNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Tswana"],"domains":["News","Written"],"modalities":["text"],"description":"Tswana News Classification Dataset","reference":"https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17","citation":"\n@inproceedings{marivate2023puoberta,\n author = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},\n booktitle = {SACAIR 2023 (To Appear)},\n dataset_url = {https://github.com/dsfsi/PuoBERTa},\n keywords = {NLP},\n preprint_url = {https://arxiv.org/abs/2310.09141},\n software_url = {https://huggingface.co/dsfsi/PuoBERTa},\n title = {PuoBERTa: Training and evaluation of a curated language model for Setswana},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/TswanaNewsClassification","license":"cc-by-sa-4.0","dateFrom":"2015-01-01","dateTo":"2023-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"IsiZuluNewsClassification","type":"Classification","simplifiedType":"classification","languages":["Zulu"],"domains":["News","Written"],"modalities":["text"],"description":"isiZulu News Classification Dataset","reference":"https://huggingface.co/datasets/dsfsi/za-isizulu-siswati-news","citation":"\n@article{Madodonga_Marivate_Adendorff_2023,\n author = {Madodonga, Andani and Marivate, Vukosi and Adendorff, Matthew},\n doi = {10.55492/dhasa.v4i01.4449},\n month = {Jan.},\n title = {Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati},\n url = {https://upjournals.up.ac.za/index.php/dhasa/article/view/4449},\n volume = {4},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/IsiZuluNewsClassification","license":"cc-by-sa-4.0","dateFrom":"2022-08-01","dateTo":"2022-08-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"WikiCitiesClustering","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Clustering of Wikipedia articles of cities by country from https://huggingface.co/datasets/wikipedia. Test set includes 126 countries, and a total of 3531 cities.","reference":"https://huggingface.co/datasets/wikipedia","citation":"","isPublic":true,"sourceDataset":"mteb/WikiCitiesClustering","license":"cc-by-sa-4.0","dateFrom":"2000-01-01","dateTo":"2021-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"MasakhaNEWSClusteringS2S","type":"Clustering","simplifiedType":"clustering","languages":["Amharic","English","French","Ganda","Hausa","Igbo","Lingala","Nigerian Pidgin","Oromo","Rundi","Shona","Somali","Swahili (macrolanguage)","Tigrinya","Xhosa","Yoruba"],"domains":["News","Written"],"modalities":["text"],"description":"Clustering of news article headlines from MasakhaNEWS dataset. Clustering of 10 sets on the news article label.","reference":"https://huggingface.co/datasets/masakhane/masakhanews","citation":"\n@article{adelani2023masakhanews,\n author = {David Ifeoluwa Adelani and Marek Masiak and Israel Abebe Azime and Jesujoba Oluwadara Alabi and Atnafu Lambebo Tonja and Christine Mwase and Odunayo Ogundepo and Bonaventure F. P. Dossou and Akintunde Oladipo and Doreen Nixdorf and Chris Chinenye Emezue and Sana Sabah al-azzawi and Blessing K. Sibanda and Davis David and Lolwethu Ndolela and Jonathan Mukiibi and Tunde Oluwaseyi Ajayi and Tatiana Moteu Ngoli and Brian Odhiambo and Abraham Toluwase Owodunni and Nnaemeka C. Obiefuna and Shamsuddeen Hassan Muhammad and Saheed Salahudeen Abdullahi and Mesay Gemeda Yigezu and Tajuddeen Gwadabe and Idris Abdulmumin and Mahlet Taye Bame and Oluwabusayo Olufunke Awoyomi and Iyanuoluwa Shode and Tolulope Anu Adelani and Habiba Abdulganiy Kailani and Abdul-Hakeem Omotayo and Adetola Adeeko and Afolabi Abeeb and Anuoluwapo Aremu and Olanrewaju Samuel and Clemencia Siro and Wangari Kimotho and Onyekachi Raphael Ogbu and Chinedu E. Mbonu and Chiamaka I. Chukwuneke and Samuel Fanijo and Jessica Ojo and Oyinkansola F. Awosan and Tadesse Kebede Guge and Sakayo Toadoum Sari and Pamela Nyatsine and Freedmore Sidume and Oreen Yousuf and Mardiyyah Oduwole and Ussen Kimanuka and Kanda Patrick Tshinu and Thina Diko and Siyanda Nxakama and Abdulmejid Tuni Johar and Sinodos Gebre and Muhidin Mohamed and Shafie Abdi Mohamed and Fuad Mire Hassan and Moges Ahmed Mehamed and Evrard Ngabire and and Pontus Stenetorp},\n journal = {ArXiv},\n title = {MasakhaNEWS: News Topic Classification for African languages},\n volume = {},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/MasakhaNEWSClusteringS2S","license":"afl-3.0","dateFrom":"2023-04-21","dateTo":"2023-05-26","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"RomaniBibleClustering","type":"Clustering","simplifiedType":"clustering","languages":["Romany"],"domains":["Religious","Written"],"modalities":["text"],"description":"Clustering verses from the Bible in Kalderash Romani by book.","reference":"https://romani.global.bible/info","citation":"","isPublic":true,"sourceDataset":"mteb/RomaniBibleClustering","license":"mit","dateFrom":"2020-01-01","dateTo":"2020-12-31","annotationsCreators":"derived","dialect":["Kalderash"],"sampleCreation":"human-translated and localized","mainScore":"v_measure","numModels":0},{"name":"ArXivHierarchicalClusteringP2P","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of titles+abstract from arxiv. Clustering of 30 sets, either on the main or secondary category","reference":"https://www.kaggle.com/Cornell-University/arxiv","citation":"","isPublic":true,"sourceDataset":"mteb/arxiv-clustering-p2p","license":"cc0-1.0","dateFrom":"1991-01-01","dateTo":"2021-01-01","annotationsCreators":"derived","dialect":["Thematic clustering"],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"ArXivHierarchicalClusteringS2S","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of titles from arxiv. Clustering of 30 sets, either on the main or secondary category","reference":"https://www.kaggle.com/Cornell-University/arxiv","citation":"","isPublic":true,"sourceDataset":"mteb/arxiv-clustering-s2s","license":"cc0-1.0","dateFrom":"1991-01-01","dateTo":"2021-01-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"BigPatentClustering.v2","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Legal","Written"],"modalities":["text"],"description":"Clustering of documents from the Big Patent dataset. Test set only includes documents belonging to a single category, with a total of 9 categories.","reference":"https://huggingface.co/datasets/NortheasternUniversity/big_patent","citation":"\n@article{DBLP:journals/corr/abs-1906-03741,\n author = {Eva Sharma and\nChen Li and\nLu Wang},\n bibsource = {dblp computer science bibliography, https://dblp.org},\n biburl = {https://dblp.org/rec/journals/corr/abs-1906-03741.bib},\n eprint = {1906.03741},\n eprinttype = {arXiv},\n journal = {CoRR},\n timestamp = {Wed, 26 Jun 2019 07:14:58 +0200},\n title = {{BIGPATENT}: A Large-Scale Dataset for Abstractive and Coherent Summarization},\n url = {http://arxiv.org/abs/1906.03741},\n volume = {abs/1906.03741},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/big-patent","license":"cc-by-4.0","dateFrom":"1971-01-01","dateTo":"2019-06-10","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"BiorxivClusteringP2P.v2","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of titles+abstract from biorxiv across 26 categories.","reference":"https://api.biorxiv.org/","citation":"","isPublic":true,"sourceDataset":"mteb/biorxiv-clustering-p2p","license":"https://www.biorxiv.org/content/about-biorxiv","dateFrom":"2021-01-01","dateTo":"2022-05-10","annotationsCreators":"derived","dialect":[],"sampleCreation":"created","mainScore":"v_measure","numModels":0},{"name":"MedrxivClusteringP2P.v2","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Academic","Medical","Written"],"modalities":["text"],"description":"Clustering of titles+abstract from medrxiv across 51 categories.","reference":"https://api.medrxiv.org/","citation":"","isPublic":true,"sourceDataset":"mteb/medrxiv-clustering-p2p","license":"https://www.medrxiv.org/content/about-medrxiv","dateFrom":"2021-01-01","dateTo":"2022-05-10","annotationsCreators":"derived","dialect":[],"sampleCreation":"created","mainScore":"v_measure","numModels":0},{"name":"StackExchangeClustering.v2","type":"Clustering","simplifiedType":"clustering","languages":["English"],"domains":["Web","Written"],"modalities":["text"],"description":"Clustering of titles from 121 stackexchanges. Clustering of 25 sets, each with 10-50 classes, and each class with 100 - 1000 sentences.","reference":"https://arxiv.org/abs/2104.07081","citation":"\n@article{geigle:2021:arxiv,\n archiveprefix = {arXiv},\n author = {Gregor Geigle and\nNils Reimers and\nAndreas R{\\\"u}ckl{\\'e} and\nIryna Gurevych},\n eprint = {2104.07081},\n journal = {arXiv preprint},\n title = {TWEAC: Transformer with Extendable QA Agent Classifiers},\n url = {http://arxiv.org/abs/2104.07081},\n volume = {abs/2104.07081},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/stackexchange-clustering","license":"not specified","dateFrom":"2021-01-01","dateTo":"2021-04-14","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"AlloProfClusteringS2S.v2","type":"Clustering","simplifiedType":"clustering","languages":["French"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Clustering of document titles from Allo Prof dataset. Clustering of 10 sets on the document topic.","reference":"https://huggingface.co/datasets/lyon-nlp/alloprof","citation":"\n@misc{lef23,\n author = {Lefebvre-Brossard, Antoine and Gazaille, Stephane and Desmarais, Michel C.},\n copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International},\n doi = {10.48550/ARXIV.2302.07738},\n keywords = {Computation and Language (cs.CL), Information Retrieval (cs.IR), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},\n publisher = {arXiv},\n title = {Alloprof: a new French question-answer education dataset and its use in an information retrieval case study},\n url = {https://arxiv.org/abs/2302.07738},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/AlloProfClusteringS2S.v2","license":"mit","dateFrom":"1996-01-01","dateTo":"2023-04-14","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"HALClusteringS2S.v2","type":"Clustering","simplifiedType":"clustering","languages":["French"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of titles from HAL (https://huggingface.co/datasets/lyon-nlp/clustering-hal-s2s)","reference":"https://huggingface.co/datasets/lyon-nlp/clustering-hal-s2s","citation":"\n@misc{ciancone2024mteb,\n archiveprefix = {arXiv},\n author = {Mathieu Ciancone and Imene Kerboua and Marion Schaeffer and Wissam Siblini},\n eprint = {2405.20468},\n primaryclass = {cs.CL},\n title = {MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis},\n url = {https://arxiv.org/abs/2405.20468},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/HALClusteringS2S.v2","license":"apache-2.0","dateFrom":"2000-03-29","dateTo":"2024-05-24","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"SIB200ClusteringS2S","type":"Clustering","simplifiedType":"clustering","languages":["Achinese","Afrikaans","Akan","Amharic","Armenian","Assamese","Asturian","Awadhi","Ayacucho Quechua","Balinese","Bambara","Banjar","Bashkir","Basque","Belarusian","Bemba (Zambia)","Bengali","Bhojpuri","Bosnian","Buginese","Bulgarian","Burmese","Catalan","Cebuano","Central Atlas Tamazight","Central Aymara","Central Kanuri","Central Kurdish","Chhattisgarhi","Chinese","Chokwe","Crimean Tatar","Croatian","Czech","Danish","Dari","Dutch","Dyula","Dzongkha","Eastern Yiddish","Egyptian Arabic","English","Esperanto","Estonian","Ewe","Faroese","Fijian","Finnish","Fon","French","Friulian","Galician","Ganda","Georgian","German","Guarani","Gujarati","Haitian","Halh Mongolian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Iloko","Indonesian","Iranian Persian","Irish","Italian","Japanese","Javanese","Kabiyè","Kabuverdianu","Kabyle","Kachin","Kamba (Kenya)","Kannada","Kashmiri","Kazakh","Khmer","Kikuyu","Kimbundu","Kinyarwanda","Kirghiz","Kongo","Korean","Lao","Latgalian","Levantine Arabic","Ligurian","Limburgan","Lingala","Lithuanian","Lombard","Luba-Lulua","Luo (Kenya and Tanzania)","Lushai","Luxembourgish","Macedonian","Magahi","Maithili","Malayalam","Maltese","Manipuri","Maori","Marathi","Mesopotamian Arabic","Minangkabau","Modern Greek (1453-)","Moroccan Arabic","Mossi","N'Ko","Najdi Arabic","Nepali (individual language)","Nigerian Fulfulde","North Azerbaijani","Northern Kurdish","Northern Uzbek","Norwegian Bokmål","Norwegian Nynorsk","Nuer","Nyanja","Occitan (post 1500)","Odia","Pangasinan","Panjabi","Papiamento","Pedi","Plateau Malagasy","Polish","Portuguese","Romanian","Rundi","Russian","Samoan","Sango","Sanskrit","Santali","Sardinian","Scottish Gaelic","Serbian","Shan","Shona","Sicilian","Silesian","Sindhi","Sinhala","Slovak","Slovenian","Somali","South Azerbaijani","South Levantine Arabic","Southern Pashto","Southern Sotho","Southwestern Dinka","Spanish","Standard Arabic","Standard Latvian","Standard Malay","Sundanese","Swahili (individual language)","Swati","Swedish","Ta'izzi-Adeni Arabic","Tagalog","Tajik","Tamasheq","Tamil","Tatar","Telugu","Thai","Tibetan","Tigrinya","Tok Pisin","Tosk Albanian","Tsonga","Tswana","Tumbuka","Tunisian Arabic","Turkish","Turkmen","Twi","Uighur","Ukrainian","Umbundu","Urdu","Venetian","Vietnamese","Waray (Philippines)","Welsh","West Central Oromo","Wolof","Xhosa","Yoruba","Yue Chinese","Zulu"],"domains":["News","Written"],"modalities":["text"],"description":"SIB-200 is the largest publicly available topic classification dataset based on Flores-200 covering 205 languages and dialects annotated. The dataset is annotated in English for the topics, science/technology, travel, politics, sports, health, entertainment, and geography. The labels are then transferred to the other languages in Flores-200 which are human-translated.","reference":"https://arxiv.org/abs/2309.07445","citation":"\n@inproceedings{adelani-etal-2024-sib,\n address = {St. Julian{'}s, Malta},\n author = {Adelani, David Ifeoluwa and\nLiu, Hannah and\nShen, Xiaoyu and\nVassilyev, Nikita and\nAlabi, Jesujoba O. and\nMao, Yanke and\nGao, Haonan and\nLee, En-Shiun Annie},\n booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\n doi = {10.18653/v1/2024.eacl-long.14},\n editor = {Graham, Yvette and\nPurver, Matthew},\n month = mar,\n pages = {226--245},\n publisher = {Association for Computational Linguistics},\n title = {{SIB}-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects},\n url = {https://aclanthology.org/2024.eacl-long.14/},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/sib200","license":"cc-by-sa-4.0","dateFrom":"2023-09-14","dateTo":"2024-01-27","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"human-translated and localized","mainScore":"v_measure","numModels":0},{"name":"WikiClusteringP2P.v2","type":"Clustering","simplifiedType":"clustering","languages":["Albanian","Basque","Bosnian","Catalan","Czech","Danish","Iloko","Kurdish","Latvian","Maltese","Manx","Minangkabau","Scots","Walloon"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Clustering of wikipedia articles inspired by BlubrbsClusteringP2P. Labels are taken from top-level categories of the respective languages (e.g., https://lv.wikipedia.org/wiki/Kategorija:Pamatkategorijas).","reference":"https://github.com/Rysias/wiki-clustering","citation":"","isPublic":true,"sourceDataset":"mteb/WikiClusteringP2P.v2","license":"cc-by-sa-3.0","dateFrom":"2001-01-15","dateTo":"2024-04-15","annotationsCreators":"derived","dialect":[],"sampleCreation":"created","mainScore":"v_measure","numModels":0},{"name":"PlscClusteringP2P.v2","type":"Clustering","simplifiedType":"clustering","languages":["Polish"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of Polish article titles+abstracts from Library of Science (https://bibliotekanauki.pl/), either on the scientific field or discipline.","reference":"https://huggingface.co/datasets/rafalposwiata/plsc","citation":"","isPublic":true,"sourceDataset":"mteb/PlscClusteringP2P.v2","license":"cc0-1.0","dateFrom":"2022-04-04","dateTo":"2023-09-12","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"SwednClusteringP2P","type":"Clustering","simplifiedType":"clustering","languages":["Swedish"],"domains":["News","Non-fiction","Written"],"modalities":["text"],"description":"The SWE-DN corpus is based on 1,963,576 news articles from the Swedish newspaper Dagens Nyheter (DN) during the years 2000--2020. The articles are filtered to resemble the CNN/DailyMail dataset both regarding textual structure. This dataset uses the category labels as clusters.","reference":"https://spraakbanken.gu.se/en/resources/swedn","citation":"\n@inproceedings{monsen2021method,\n author = {Monsen, Julius and J{\\\"o}nsson, Arne},\n booktitle = {Proceedings of CLARIN Annual Conference},\n title = {A method for building non-english corpora for abstractive text summarization},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/SwednClusteringP2P","license":"cc-by-4.0","dateFrom":"2000-01-01","dateTo":"2020-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"CLSClusteringP2P.v2","type":"Clustering","simplifiedType":"clustering","languages":["Mandarin Chinese"],"domains":["Academic","Written"],"modalities":["text"],"description":"Clustering of titles + abstract from CLS dataset. Clustering of 13 sets on the main category.","reference":"https://arxiv.org/abs/2209.05034","citation":"\n@misc{li2022csl,\n archiveprefix = {arXiv},\n author = {Yudong Li and Yuqing Zhang and Zhe Zhao and Linlin Shen and Weijie Liu and Weiquan Mao and Hui Zhang},\n eprint = {2209.05034},\n primaryclass = {cs.CL},\n title = {CSL: A Large-scale Chinese Scientific Literature Dataset},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/CLSClusteringP2P.v2","license":"apache-2.0","dateFrom":"2022-01-01","dateTo":"2022-09-12","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"v_measure","numModels":0},{"name":"StackOverflowQA","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Programming","Written"],"modalities":["text"],"description":"The dataset is a collection of natural language queries and their corresponding response which may include some text mixed with code snippets. The task is to retrieve the most relevant response for a given query.","reference":"https://arxiv.org/abs/2407.02883","citation":"\n@misc{li2024coircomprehensivebenchmarkcode,\n archiveprefix = {arXiv},\n author = {Xiangyang Li and Kuicai Dong and Yi Quan Lee and Wei Xia and Yichun Yin and Hao Zhang and Yong Liu and Yasheng Wang and Ruiming Tang},\n eprint = {2407.02883},\n primaryclass = {cs.IR},\n title = {CoIR: A Comprehensive Benchmark for Code Information Retrieval Models},\n url = {https://arxiv.org/abs/2407.02883},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/StackOverflowQA","license":"mit","dateFrom":"2019-01-01","dateTo":"2019-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"TwitterHjerneRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["Danish"],"domains":["Social","Written"],"modalities":["text"],"description":"Danish question asked on Twitter with the Hashtag #Twitterhjerne ('Twitter brain') and their corresponding answer.","reference":"https://huggingface.co/datasets/sorenmulli/da-hashtag-twitterhjerne","citation":"\n@misc{holm2025danoliteracygenerativelargelanguage,\n archiveprefix = {arXiv},\n author = {Søren Vejlgaard Holm and Lars Kai Hansen and Martin Carsten Nielsen},\n eprint = {2410.22839},\n primaryclass = {cs.CL},\n title = {Danoliteracy of Generative Large Language Models},\n url = {https://arxiv.org/abs/2410.22839},\n year = {2025},\n}\n","isPublic":true,"sourceDataset":"mteb/TwitterHjerneRetrieval","license":"cc-by-4.0","dateFrom":"2006-01-01","dateTo":"2024-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"AILAStatutes","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Legal","Written"],"modalities":["text"],"description":"This dataset is structured for the task of identifying the most relevant statutes for a given situation.","reference":"https://zenodo.org/records/4063986","citation":"\n@dataset{paheli_bhattacharya_2020_4063986,\n author = {Paheli Bhattacharya and\nKripabandhu Ghosh and\nSaptarshi Ghosh and\nArindam Pal and\nParth Mehta and\nArnab Bhattacharya and\nPrasenjit Majumder},\n doi = {10.5281/zenodo.4063986},\n month = oct,\n publisher = {Zenodo},\n title = {AILA 2019 Precedent \\& Statute Retrieval Task},\n url = {https://doi.org/10.5281/zenodo.4063986},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/AILA_statutes","license":"cc-by-4.0","dateFrom":"2019-01-01","dateTo":"2020-10-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"ArguAna","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Social","Web","Written"],"modalities":["text"],"description":"ArguAna: Retrieval of the Best Counterargument without Prior Topic Knowledge","reference":"http://argumentation.bplaced.net/arguana/data","citation":"\n@inproceedings{wachsmuth2018retrieval,\n author = {Wachsmuth, Henning and Syed, Shahbaz and Stein, Benno},\n booktitle = {ACL},\n title = {Retrieval of the Best Counterargument without Prior Topic Knowledge},\n year = {2018},\n}\n","isPublic":true,"sourceDataset":"mteb/arguana","license":"cc-by-sa-4.0","dateFrom":"2018-01-01","dateTo":"2018-07-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"HagridRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"HAGRID (Human-in-the-loop Attributable Generative Retrieval for Information-seeking Dataset)is a dataset for generative information-seeking scenarios. It consists of queriesalong with a set of manually labelled relevant passages","reference":"https://github.com/project-miracl/hagrid","citation":"\n@article{hagrid,\n author = {Ehsan Kamalloo and Aref Jafari and Xinyu Zhang and Nandan Thakur and Jimmy Lin},\n journal = {arXiv:2307.16883},\n title = {{HAGRID}: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/HagridRetrieval","license":"apache-2.0","dateFrom":"2019-02-01","dateTo":"2022-10-18","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"LegalBenchCorporateLobbying","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Legal","Written"],"modalities":["text"],"description":"The dataset includes bill titles and bill summaries related to corporate lobbying.","reference":"https://huggingface.co/datasets/nguha/legalbench/viewer/corporate_lobbying","citation":"\n@misc{guha2023legalbench,\n archiveprefix = {arXiv},\n author = {Neel Guha and Julian Nyarko and Daniel E. Ho and Christopher Ré and Adam Chilton and Aditya Narayana and Alex Chohlas-Wood and Austin Peters and Brandon Waldon and Daniel N. Rockmore and Diego Zambrano and Dmitry Talisman and Enam Hoque and Faiz Surani and Frank Fagan and Galit Sarfaty and Gregory M. Dickinson and Haggai Porat and Jason Hegland and Jessica Wu and Joe Nudell and Joel Niklaus and John Nay and Jonathan H. Choi and Kevin Tobia and Margaret Hagan and Megan Ma and Michael Livermore and Nikon Rasumov-Rahe and Nils Holzenberger and Noam Kolt and Peter Henderson and Sean Rehaag and Sharad Goel and Shang Gao and Spencer Williams and Sunny Gandhi and Tom Zur and Varun Iyer and Zehua Li},\n eprint = {2308.11462},\n primaryclass = {cs.CL},\n title = {LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models},\n year = {2023},\n}\n\n@article{hendrycks2021cuad,\n author = {Hendrycks, Dan and Burns, Collin and Chen, Anya and Ball, Spencer},\n journal = {arXiv preprint arXiv:2103.06268},\n title = {Cuad: An expert-annotated nlp dataset for legal contract review},\n year = {2021},\n}\n\n@article{holzenberger2021factoring,\n author = {Holzenberger, Nils and Van Durme, Benjamin},\n journal = {arXiv preprint arXiv:2105.07903},\n title = {Factoring statutory reasoning as language understanding challenges},\n year = {2021},\n}\n\n@article{koreeda2021contractnli,\n author = {Koreeda, Yuta and Manning, Christopher D},\n journal = {arXiv preprint arXiv:2110.01799},\n title = {ContractNLI: A dataset for document-level natural language inference for contracts},\n year = {2021},\n}\n\n@article{lippi2019claudette,\n author = {Lippi, Marco and Pa{\\l}ka, Przemys{\\l}aw and Contissa, Giuseppe and Lagioia, Francesca and Micklitz, Hans-Wolfgang and Sartor, Giovanni and Torroni, Paolo},\n journal = {Artificial Intelligence and Law},\n pages = {117--139},\n publisher = {Springer},\n title = {CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service},\n volume = {27},\n year = {2019},\n}\n\n@article{ravichander2019question,\n author = {Ravichander, Abhilasha and Black, Alan W and Wilson, Shomir and Norton, Thomas and Sadeh, Norman},\n journal = {arXiv preprint arXiv:1911.00841},\n title = {Question answering for privacy policies: Combining computational and legal perspectives},\n year = {2019},\n}\n\n@article{wang2023maud,\n author = {Wang, Steven H and Scardigli, Antoine and Tang, Leonard and Chen, Wei and Levkin, Dimitry and Chen, Anya and Ball, Spencer and Woodside, Thomas and Zhang, Oliver and Hendrycks, Dan},\n journal = {arXiv preprint arXiv:2301.00876},\n title = {MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding},\n year = {2023},\n}\n\n@inproceedings{wilson2016creation,\n author = {Wilson, Shomir and Schaub, Florian and Dara, Aswarth Abhilash and Liu, Frederick and Cherivirala, Sushain and Leon, Pedro Giovanni and Andersen, Mads Schaarup and Zimmeck, Sebastian and Sathyendra, Kanthashree Mysore and Russell, N Cameron and others},\n booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n pages = {1330--1340},\n title = {The creation and analysis of a website privacy policy corpus},\n year = {2016},\n}\n\n@inproceedings{zheng2021does,\n author = {Zheng, Lucia and Guha, Neel and Anderson, Brandon R and Henderson, Peter and Ho, Daniel E},\n booktitle = {Proceedings of the eighteenth international conference on artificial intelligence and law},\n pages = {159--168},\n title = {When does pretraining help? assessing self-supervised learning for law and the casehold dataset of 53,000+ legal holdings},\n year = {2021},\n}\n\n@article{zimmeck2019maps,\n author = {Zimmeck, Sebastian and Story, Peter and Smullen, Daniel and Ravichander, Abhilasha and Wang, Ziqi and Reidenberg, Joel R and Russell, N Cameron and Sadeh, Norman},\n journal = {Proc. Priv. Enhancing Tech.},\n pages = {66},\n title = {Maps: Scaling privacy compliance analysis to a million apps},\n volume = {2019},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/legalbench_corporate_lobbying","license":"cc-by-4.0","dateFrom":"2019-01-01","dateTo":"2023-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"LEMBPasskeyRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Fiction","Written"],"modalities":["text"],"description":"passkey subset of dwzhu/LongEmbed dataset.","reference":"https://huggingface.co/datasets/dwzhu/LongEmbed","citation":"\n@article{zhu2024longembed,\n author = {Zhu, Dawei and Wang, Liang and Yang, Nan and Song, Yifan and Wu, Wenhao and Wei, Furu and Li, Sujian},\n journal = {arXiv preprint arXiv:2404.12096},\n title = {LongEmbed: Extending Embedding Models for Long Context Retrieval},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/LEMBPasskeyRetrieval","license":"not specified","dateFrom":"2000-01-01","dateTo":"2023-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_1","numModels":0},{"name":"SCIDOCS","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Academic","Written","Non-fiction"],"modalities":["text"],"description":"SciDocs, a new evaluation benchmark consisting of seven document-level tasks ranging from citation prediction, to document classification and recommendation.","reference":"https://allenai.org/data/scidocs","citation":"\n@inproceedings{specter2020cohan,\n author = {Arman Cohan and Sergey Feldman and Iz Beltagy and Doug Downey and Daniel S. Weld},\n booktitle = {ACL},\n title = {SPECTER: Document-level Representation Learning using Citation-informed Transformers},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/scidocs","license":"cc-by-sa-4.0","dateFrom":"2000-01-01","dateTo":"2020-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"SpartQA","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Measuring the ability to retrieve the groundtruth answers to reasoning task queries on SpartQA.","reference":"https://github.com/HLR/SpartQA_generation","citation":"\n@article{mirzaee2021spartqa,\n author = {Mirzaee, Roshanak and Faghihi, Hossein Rajaby and Ning, Qiang and Kordjmashidi, Parisa},\n journal = {arXiv preprint arXiv:2104.05832},\n title = {Spartqa:: A textual question answering benchmark for spatial reasoning},\n year = {2021},\n}\n\n@article{xiao2024rar,\n author = {Xiao, Chenghao and Hudson, G Thomas and Moubayed, Noura Al},\n journal = {arXiv preprint arXiv:2404.06347},\n title = {RAR-b: Reasoning as Retrieval Benchmark},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/SpartQA","license":"mit","dateFrom":"2021-01-01","dateTo":"2021-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"TempReasonL1","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Measuring the ability to retrieve the groundtruth answers to reasoning task queries on TempReason l1.","reference":"https://github.com/DAMO-NLP-SG/TempReason","citation":"\n@article{tan2023towards,\n author = {Tan, Qingyu and Ng, Hwee Tou and Bing, Lidong},\n journal = {arXiv preprint arXiv:2306.08952},\n title = {Towards benchmarking and improving the temporal reasoning capability of large language models},\n year = {2023},\n}\n\n@article{xiao2024rar,\n author = {Xiao, Chenghao and Hudson, G Thomas and Moubayed, Noura Al},\n journal = {arXiv preprint arXiv:2404.06347},\n title = {RAR-b: Reasoning as Retrieval Benchmark},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/TempReasonL1","license":"cc-by-sa-3.0","dateFrom":"2023-01-01","dateTo":"2023-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"TRECCOVID","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Medical","Academic","Written"],"modalities":["text"],"description":"TRECCOVID is an ad-hoc search challenge based on the COVID-19 dataset containing scientific articles related to the COVID-19 pandemic.","reference":"https://ir.nist.gov/covidSubmit/index.html","citation":"\n@misc{roberts2021searching,\n archiveprefix = {arXiv},\n author = {Kirk Roberts and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and Kyle Lo and Ian Soboroff and Ellen Voorhees and Lucy Lu Wang and William R Hersh},\n eprint = {2104.09632},\n primaryclass = {cs.IR},\n title = {Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/trec-covid","license":"not specified","dateFrom":"2020-01-01","dateTo":"2021-12-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"WinoGrande","type":"Retrieval","simplifiedType":"retrieval","languages":["English"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Measuring the ability to retrieve the groundtruth answers to reasoning task queries on winogrande.","reference":"https://winogrande.allenai.org/","citation":"\n@article{sakaguchi2021winogrande,\n author = {Sakaguchi, Keisuke and Bras, Ronan Le and Bhagavatula, Chandra and Choi, Yejin},\n journal = {Communications of the ACM},\n number = {9},\n pages = {99--106},\n publisher = {ACM New York, NY, USA},\n title = {Winogrande: An adversarial winograd schema challenge at scale},\n volume = {64},\n year = {2021},\n}\n\n@article{xiao2024rar,\n author = {Xiao, Chenghao and Hudson, G Thomas and Moubayed, Noura Al},\n journal = {arXiv preprint arXiv:2404.06347},\n title = {RAR-b: Reasoning as Retrieval Benchmark},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/WinoGrande","license":"not specified","dateFrom":"2021-01-01","dateTo":"2021-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"BelebeleRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["Afrikaans","Amharic","Armenian","Assamese","Bambara","Basque","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Central Kurdish","Chinese","Croatian","Czech","Danish","Dutch","Egyptian Arabic","English","Estonian","Finnish","French","Ganda","Georgian","German","Guarani","Gujarati","Haitian","Halh Mongolian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Iloko","Indonesian","Iranian Persian","Italian","Japanese","Javanese","Kabuverdianu","Kachin","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean","Lao","Levantine Arabic","Lingala","Lithuanian","Luo (Kenya and Tanzania)","Macedonian","Malayalam","Maltese","Maori","Marathi","Mesopotamian Arabic","Modern Greek (1453-)","Moroccan Arabic","Najdi Arabic","Nepali (individual language)","Nigerian Fulfulde","North Azerbaijani","Northern Uzbek","Norwegian Bokmål","Nyanja","Odia","Panjabi","Pedi","Plateau Malagasy","Polish","Portuguese","Romanian","Russian","Serbian","Shan","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Southern Pashto","Southern Sotho","Spanish","Standard Arabic","Standard Latvian","Standard Malay","Sundanese","Swahili (individual language)","Swati","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Tibetan","Tigrinya","Tosk Albanian","Tsonga","Tswana","Turkish","Ukrainian","Urdu","Vietnamese","Waray (Philippines)","West Central Oromo","Wolof","Xhosa","Yoruba","Zulu"],"domains":["Web","News","Written"],"modalities":["text"],"description":"Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants (including 115 distinct languages and their scripts)","reference":"https://arxiv.org/abs/2308.16884","citation":"\n@article{bandarkar2023belebele,\n author = {Lucas Bandarkar and Davis Liang and Benjamin Muller and Mikel Artetxe and Satya Narayan Shukla and Donald Husa and Naman Goyal and Abhinandan Krishnan and Luke Zettlemoyer and Madian Khabsa},\n journal = {arXiv preprint arXiv:2308.16884},\n title = {The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/belebele","license":"cc-by-sa-4.0","dateFrom":"2023-08-31","dateTo":"2023-08-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"ndcg_at_10","numModels":0},{"name":"MLQARetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["Arabic","Chinese","English","German","Hindi","Spanish","Vietnamese"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance. MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between 4 different languages on average.","reference":"https://huggingface.co/datasets/mlqa","citation":"\n@article{lewis2019mlqa,\n author = {Lewis, Patrick and Oguz, Barlas and Rinott, Ruty and Riedel, Sebastian and Schwenk, Holger},\n eid = {arXiv: 1910.07475},\n journal = {arXiv preprint arXiv:1910.07475},\n title = {MLQA: Evaluating Cross-lingual Extractive Question Answering},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/MLQARetrieval","license":"cc-by-sa-3.0","dateFrom":"2019-01-01","dateTo":"2020-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"StatcanDialogueDatasetRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["English","French"],"domains":["Government","Web","Written"],"modalities":["text"],"description":"A Dataset for Retrieving Data Tables through Conversations with Genuine Intents, available in English and French.","reference":"https://mcgill-nlp.github.io/statcan-dialogue-dataset/","citation":"\n@inproceedings{lu-etal-2023-statcan,\n address = {Dubrovnik, Croatia},\n author = {Lu, Xing Han and\nReddy, Siva and\nde Vries, Harm},\n booktitle = {Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics},\n month = may,\n pages = {2799--2829},\n publisher = {Association for Computational Linguistics},\n title = {The {S}tat{C}an Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents},\n url = {https://arxiv.org/abs/2304.01412},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/StatcanDialogueDatasetRetrieval","license":"https://huggingface.co/datasets/McGill-NLP/statcan-dialogue-dataset-retrieval/blob/main/LICENSE.md","dateFrom":"2020-01-01","dateTo":"2020-04-15","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"recall_at_10","numModels":0},{"name":"WikipediaRetrievalMultilingual","type":"Retrieval","simplifiedType":"retrieval","languages":["Bengali","Bulgarian","Czech","Danish","Dutch","English","Finnish","German","Hindi","Italian","Norwegian","Persian","Portuguese","Romanian","Serbian","Swedish"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"The dataset is derived from Cohere's wikipedia-2023-11 dataset and contains synthetically generated queries.","reference":"https://huggingface.co/datasets/ellamind/wikipedia-2023-11-retrieval-multilingual-queries","citation":"","isPublic":true,"sourceDataset":"mteb/WikipediaRetrievalMultilingual","license":"cc-by-sa-3.0","dateFrom":"2023-11-01","dateTo":"2024-05-15","annotationsCreators":"LM-generated and reviewed","dialect":[],"sampleCreation":"LM-generated and verified","mainScore":"ndcg_at_10","numModels":0},{"name":"CovidRetrieval","type":"Retrieval","simplifiedType":"retrieval","languages":["Mandarin Chinese"],"domains":["Medical","Entertainment"],"modalities":["text"],"description":"COVID-19 news articles","reference":"https://arxiv.org/abs/2203.03367","citation":"\n@misc{long2022multicprmultidomainchinese,\n archiveprefix = {arXiv},\n author = {Dingkun Long and Qiong Gao and Kuan Zou and Guangwei Xu and Pengjun Xie and Ruijie Guo and Jian Xu and Guanjun Jiang and Luxi Xing and Ping Yang},\n eprint = {2203.03367},\n primaryclass = {cs.IR},\n title = {Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval},\n url = {https://arxiv.org/abs/2203.03367},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/CovidRetrieval","license":"not specified","dateFrom":"2022-03-03","dateTo":"2022-03-18","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"ndcg_at_10","numModels":0},{"name":"Core17InstructionRetrieval","type":"InstructionReranking","simplifiedType":"retrieval","languages":["English"],"domains":["News","Written"],"modalities":["text"],"description":"Measuring retrieval instruction following ability on Core17 narratives for the FollowIR benchmark.","reference":"https://arxiv.org/abs/2403.15246","citation":"\n@misc{weller2024followir,\n archiveprefix = {arXiv},\n author = {Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},\n eprint = {2403.15246},\n primaryclass = {cs.IR},\n title = {FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/Core17InstructionRetrieval","license":"mit","dateFrom":"2023-08-01","dateTo":"2024-04-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"p-MRR","numModels":0},{"name":"News21InstructionRetrieval","type":"InstructionReranking","simplifiedType":"retrieval","languages":["English"],"domains":["News","Written"],"modalities":["text"],"description":"Measuring retrieval instruction following ability on News21 narratives for the FollowIR benchmark.","reference":"https://arxiv.org/abs/2403.15246","citation":"\n@misc{weller2024followir,\n archiveprefix = {arXiv},\n author = {Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},\n eprint = {2403.15246},\n primaryclass = {cs.IR},\n title = {FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/News21InstructionRetrieval","license":"mit","dateFrom":"2023-08-01","dateTo":"2024-04-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"p-MRR","numModels":0},{"name":"Robust04InstructionRetrieval","type":"InstructionReranking","simplifiedType":"retrieval","languages":["English"],"domains":["News","Written"],"modalities":["text"],"description":"Measuring retrieval instruction following ability on Robust04 narratives for the FollowIR benchmark.","reference":"https://arxiv.org/abs/2403.15246","citation":"\n@misc{weller2024followir,\n archiveprefix = {arXiv},\n author = {Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},\n eprint = {2403.15246},\n primaryclass = {cs.IR},\n title = {FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/Robust04InstructionRetrieval","license":"mit","dateFrom":"2023-08-01","dateTo":"2024-04-01","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"p-MRR","numModels":0},{"name":"KorHateSpeechMLClassification","type":"MultilabelClassification","simplifiedType":"classification","languages":["Korean"],"domains":["Social","Written"],"modalities":["text"],"description":"The Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: Politics, Origin, Physical, Age, Gender, Religion, Race, Profanity) or Not Hate Speech class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to the paper about K-MHaS, published at COLING 2022. This dataset is based on the Korean online news comments available on Kaggle and Github. The unlabeled raw data was collected between January 2018 and June 2020. The language producers are users who left the comments on the Korean online news platform between 2018 and 2020.","reference":"https://paperswithcode.com/dataset/korean-multi-label-hate-speech-dataset","citation":"\n@inproceedings{lee-etal-2022-k,\n address = {Gyeongju, Republic of Korea},\n archiveprefix = {arXiv},\n author = {Lee, Jean and\nLim, Taejun and\nLee, Heejun and\nJo, Bogeun and\nKim, Yangsok and\nYoon, Heegeun and\nHan, Soyeon Caren},\n booktitle = {Proceedings of the 29th International Conference on Computational Linguistics},\n eprint = {2208.10684},\n month = oct,\n pages = {3530--3538},\n publisher = {International Committee on Computational Linguistics},\n title = {K-{MH}a{S}: A Multi-label Hate Speech Detection Dataset in {K}orean Online News Comment},\n url = {https://aclanthology.org/2022.coling-1.311},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/KorHateSpeechMLClassification","license":"cc-by-sa-4.0","dateFrom":"2018-01-01","dateTo":"2020-06-30","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"MalteseNewsClassification","type":"MultilabelClassification","simplifiedType":"classification","languages":["Maltese"],"domains":["Constructed","Written"],"modalities":["text"],"description":"A multi-label topic classification dataset for Maltese News Articles. The data was collected from the press_mt subset from Korpus Malti v4.0. Article contents were cleaned to filter out JavaScript, CSS, & repeated non-Maltese sub-headings. The labels are based on the category field from this corpus.","reference":"https://huggingface.co/datasets/MLRS/maltese_news_categories","citation":"\n@inproceedings{maltese-news-datasets,\n author = {Chaudhary, Amit Kumar and\nMicallef, Kurt and\nBorg, Claudia},\n booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation},\n month = may,\n publisher = {Association for Computational Linguistics},\n title = {Topic Classification and Headline Generation for {M}altese using a Public News Corpus},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/MalteseNewsClassification","license":"cc-by-nc-sa-4.0","dateFrom":"2023-10-21","dateTo":"2024-04-24","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"MultiEURLEXMultilabelClassification","type":"MultilabelClassification","simplifiedType":"classification","languages":["Bulgarian","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","German","Hungarian","Italian","Latvian","Lithuanian","Maltese","Modern Greek (1453-)","Polish","Portuguese","Romanian","Slovak","Slovenian","Spanish","Swedish"],"domains":["Legal","Government","Written"],"modalities":["text"],"description":"EU laws in 23 EU languages containing annotated labels for 21 EUROVOC concepts.","reference":"https://huggingface.co/datasets/coastalcph/multi_eurlex","citation":"\n@inproceedings{chalkidis-etal-2021-multieurlex,\n author = {Chalkidis, Ilias\nand Fergadiotis, Manos\nand Androutsopoulos, Ion},\n booktitle = {Proceedings of the 2021 Conference on Empirical Methods\nin Natural Language Processing},\n location = {Punta Cana, Dominican Republic},\n publisher = {Association for Computational Linguistics},\n title = {MultiEURLEX -- A multi-lingual and multi-label legal document\nclassification dataset for zero-shot cross-lingual transfer},\n url = {https://arxiv.org/abs/2109.00904},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/eurlex-multilingual","license":"cc-by-sa-4.0","dateFrom":"1958-01-01","dateTo":"2016-01-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"BrazilianToxicTweetsClassification","type":"MultilabelClassification","simplifiedType":"classification","languages":["Portuguese"],"domains":["Constructed","Written"],"modalities":["text"],"description":"ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese, crowdsourced by 42 annotators selected from a pool of 129 volunteers. Annotators were selected aiming to create a plural group in terms of demographics (ethnicity, sexual orientation, age, gender). Each tweet was labeled by three annotators in 6 possible categories: LGBTQ+phobia, Xenophobia, Obscene, Insult, Misogyny and Racism.","reference":"https://paperswithcode.com/dataset/told-br","citation":"\n@article{DBLP:journals/corr/abs-2010-04543,\n author = {Joao Augusto Leite and\nDiego F. Silva and\nKalina Bontcheva and\nCarolina Scarton},\n eprint = {2010.04543},\n eprinttype = {arXiv},\n journal = {CoRR},\n timestamp = {Tue, 15 Dec 2020 16:10:16 +0100},\n title = {Toxic Language Detection in Social Media for Brazilian Portuguese:\nNew Dataset and Multilingual Analysis},\n url = {https://arxiv.org/abs/2010.04543},\n volume = {abs/2010.04543},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/BrazilianToxicTweetsClassification","license":"cc-by-sa-4.0","dateFrom":"2019-08-01","dateTo":"2019-08-16","annotationsCreators":"expert-annotated","dialect":["brazilian"],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"CEDRClassification","type":"MultilabelClassification","simplifiedType":"classification","languages":["Russian"],"domains":["Web","Social","Blog","Written"],"modalities":["text"],"description":"Classification of sentences by emotions, labeled into 5 categories (joy, sadness, surprise, fear, and anger).","reference":"https://www.sciencedirect.com/science/article/pii/S1877050921013247","citation":"\n@article{sboev2021data,\n author = {Sboev, Alexander and Naumov, Aleksandr and Rybka, Roman},\n journal = {Procedia Computer Science},\n pages = {637--642},\n publisher = {Elsevier},\n title = {Data-Driven Model for Emotion Detection in Russian Texts},\n volume = {190},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/CEDRClassification","license":"apache-2.0","dateFrom":"1999-01-01","dateTo":"2021-09-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"accuracy","numModels":0},{"name":"CTKFactsNLI","type":"PairClassification","simplifiedType":"pair-classification","languages":["Czech"],"domains":["News","Written"],"modalities":["text"],"description":"Czech Natural Language Inference dataset of around 3K evidence-claim pairs labelled with SUPPORTS, REFUTES or NOT ENOUGH INFO veracity labels. Extracted from a round of fact-checking experiments.","reference":"https://arxiv.org/abs/2201.11115","citation":"\n@article{ullrich2023csfever,\n author = {Ullrich, Herbert and Drchal, Jan and R{\\\\`y}par, Martin and Vincourov{\\\\'a}, Hana and Moravec, V{\\\\'a}clav},\n journal = {Language Resources and Evaluation},\n number = {4},\n pages = {1571--1605},\n publisher = {Springer},\n title = {CsFEVER and CTKFacts: acquiring Czech data for fact verification},\n volume = {57},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/CTKFactsNLI","license":"cc-by-sa-3.0","dateFrom":"2020-09-01","dateTo":"2021-08-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"SprintDuplicateQuestions","type":"PairClassification","simplifiedType":"pair-classification","languages":["English"],"domains":["Programming","Written"],"modalities":["text"],"description":"Duplicate questions from the Sprint community.","reference":"https://www.aclweb.org/anthology/D18-1131/","citation":"\n@inproceedings{shah-etal-2018-adversarial,\n address = {Brussels, Belgium},\n author = {Shah, Darsh and\nLei, Tao and\nMoschitti, Alessandro and\nRomeo, Salvatore and\nNakov, Preslav},\n booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},\n doi = {10.18653/v1/D18-1131},\n editor = {Riloff, Ellen and\nChiang, David and\nHockenmaier, Julia and\nTsujii, Jun{'}ichi},\n month = oct # {-} # nov,\n pages = {1056--1063},\n publisher = {Association for Computational Linguistics},\n title = {Adversarial Domain Adaptation for Duplicate Question Detection},\n url = {https://aclanthology.org/D18-1131},\n year = {2018},\n}\n","isPublic":true,"sourceDataset":"mteb/sprintduplicatequestions-pairclassification","license":"not specified","dateFrom":"2018-10-01","dateTo":"2018-12-30","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"TwitterURLCorpus","type":"PairClassification","simplifiedType":"pair-classification","languages":["English"],"domains":["Social","Written"],"modalities":["text"],"description":"Paraphrase-Pairs of Tweets.","reference":"https://languagenet.github.io/","citation":"\n@inproceedings{lan-etal-2017-continuously,\n address = {Copenhagen, Denmark},\n author = {Lan, Wuwei and\nQiu, Siyu and\nHe, Hua and\nXu, Wei},\n booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},\n doi = {10.18653/v1/D17-1126},\n editor = {Palmer, Martha and\nHwa, Rebecca and\nRiedel, Sebastian},\n month = sep,\n pages = {1224--1234},\n publisher = {Association for Computational Linguistics},\n title = {A Continuously Growing Dataset of Sentential Paraphrases},\n url = {https://aclanthology.org/D17-1126},\n year = {2017},\n}\n","isPublic":true,"sourceDataset":"mteb/twitterurlcorpus-pairclassification","license":"not specified","dateFrom":"2017-01-01","dateTo":"2017-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"ArmenianParaphrasePC","type":"PairClassification","simplifiedType":"pair-classification","languages":["Armenian"],"domains":["News","Written"],"modalities":["text"],"description":"asparius/Armenian-Paraphrase-PC","reference":"https://github.com/ivannikov-lab/arpa-paraphrase-corpus","citation":"\n@misc{malajyan2020arpa,\n archiveprefix = {arXiv},\n author = {Arthur Malajyan and Karen Avetisyan and Tsolak Ghukasyan},\n eprint = {2009.12615},\n primaryclass = {cs.CL},\n title = {ARPA: Armenian Paraphrase Detection Corpus and Models},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/ArmenianParaphrasePC","license":"apache-2.0","dateFrom":"2021-01-01","dateTo":"2022-04-06","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"indonli","type":"PairClassification","simplifiedType":"pair-classification","languages":["Indonesian"],"domains":["Encyclopaedic","Web","News","Written"],"modalities":["text"],"description":"IndoNLI is the first human-elicited Natural Language Inference (NLI) dataset for Indonesian. IndoNLI is annotated by both crowd workers and experts.","reference":"https://link.springer.com/chapter/10.1007/978-3-030-41505-1_39","citation":"\n@inproceedings{mahendra-etal-2021-indonli,\n address = {Online and Punta Cana, Dominican Republic},\n author = {Mahendra, Rahmad and Aji, Alham Fikri and Louvan, Samuel and Rahman, Fahrurrozi and Vania, Clara},\n booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},\n doi = {10.18653/v1/2021.emnlp-main.821},\n month = nov,\n pages = {10511--10527},\n publisher = {Association for Computational Linguistics},\n title = {{I}ndo{NLI}: A Natural Language Inference Dataset for {I}ndonesian},\n url = {https://aclanthology.org/2021.emnlp-main.821},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/indonli","license":"cc-by-sa-4.0","dateFrom":"2021-01-01","dateTo":"2021-11-01","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"OpusparcusPC","type":"PairClassification","simplifiedType":"pair-classification","languages":["English","Finnish","French","German","Russian","Swedish"],"domains":["Spoken","Spoken"],"modalities":["text"],"description":"Opusparcus is a paraphrase corpus for six European language: German, English, Finnish, French, Russian, and Swedish. The paraphrases consist of subtitles from movies and TV shows.","reference":"https://gem-benchmark.com/data_cards/opusparcus","citation":"\n@misc{creutz2018open,\n archiveprefix = {arXiv},\n author = {Mathias Creutz},\n eprint = {1809.06142},\n primaryclass = {cs.CL},\n title = {Open Subtitles Paraphrase Corpus for Six Languages},\n year = {2018},\n}\n","isPublic":true,"sourceDataset":"mteb/OpusparcusPC","license":"cc-by-nc-4.0","dateFrom":"2013-01-01","dateTo":"2015-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"max_ap","numModels":0},{"name":"PawsXPairClassification","type":"PairClassification","simplifiedType":"pair-classification","languages":["English","French","German","Japanese","Korean","Mandarin Chinese","Spanish"],"domains":["Web","Encyclopaedic","Written"],"modalities":["text"],"description":"PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification","reference":"https://arxiv.org/abs/1908.11828","citation":"\n@misc{yang2019pawsx,\n archiveprefix = {arXiv},\n author = {Yinfei Yang and Yuan Zhang and Chris Tar and Jason Baldridge},\n eprint = {1908.11828},\n primaryclass = {cs.CL},\n title = {PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification},\n year = {2019},\n}\n","isPublic":true,"sourceDataset":"mteb/PawsXPairClassification","license":"https://huggingface.co/datasets/google-research-datasets/paws-x#licensing-information","dateFrom":"2016-01-01","dateTo":"2018-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"human-translated","mainScore":"max_ap","numModels":0},{"name":"RTE3","type":"PairClassification","simplifiedType":"pair-classification","languages":["English","French","German","Italian"],"domains":["News","Web","Encyclopaedic","Written"],"modalities":["text"],"description":"Recognising Textual Entailment Challenge (RTE-3) aim to provide the NLP community with a benchmark to test progress in recognizing textual entailment","reference":"https://aclanthology.org/W07-1401/","citation":"\n@inproceedings{giampiccolo-etal-2007-third,\n address = {Prague},\n author = {Giampiccolo, Danilo and\nMagnini, Bernardo and\nDagan, Ido and\nDolan, Bill},\n booktitle = {Proceedings of the {ACL}-{PASCAL} Workshop on Textual Entailment and Paraphrasing},\n month = jun,\n pages = {1--9},\n publisher = {Association for Computational Linguistics},\n title = {The Third {PASCAL} Recognizing Textual Entailment Challenge},\n url = {https://aclanthology.org/W07-1401},\n year = {2007},\n}\n","isPublic":true,"sourceDataset":"mteb/RTE3","license":"cc-by-4.0","dateFrom":"2023-03-25","dateTo":"2024-04-15","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"XNLI","type":"PairClassification","simplifiedType":"pair-classification","languages":["Arabic","Bulgarian","Chinese","English","French","German","Hindi","Modern Greek (1453-)","Russian","Spanish","Swahili (macrolanguage)","Thai","Turkish","Vietnamese"],"domains":["Non-fiction","Fiction","Government","Written"],"modalities":["text"],"description":"","reference":"https://aclanthology.org/D18-1269/","citation":"\n@inproceedings{conneau2018xnli,\n author = {Conneau, Alexis\nand Rinott, Ruty\nand Lample, Guillaume\nand Williams, Adina\nand Bowman, Samuel R.\nand Schwenk, Holger\nand Stoyanov, Veselin},\n booktitle = {Proceedings of the 2018 Conference on Empirical Methods\nin Natural Language Processing},\n location = {Brussels, Belgium},\n publisher = {Association for Computational Linguistics},\n title = {XNLI: Evaluating Cross-lingual Sentence Representations},\n year = {2018},\n}\n","isPublic":true,"sourceDataset":"mteb/xnli","license":"not specified","dateFrom":"2018-01-01","dateTo":"2018-11-04","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"max_ap","numModels":0},{"name":"PpcPC","type":"PairClassification","simplifiedType":"pair-classification","languages":["Polish"],"domains":["Fiction","Non-fiction","Web","Written","Spoken","Social","News"],"modalities":["text"],"description":"Polish Paraphrase Corpus","reference":"https://arxiv.org/pdf/2207.12759.pdf","citation":"\n@misc{dadas2022training,\n archiveprefix = {arXiv},\n author = {Sławomir Dadas},\n eprint = {2207.12759},\n primaryclass = {cs.CL},\n title = {Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/PpcPC","license":"gpl-3.0","dateFrom":"2022-01-01","dateTo":"2022-12-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"TERRa","type":"PairClassification","simplifiedType":"pair-classification","languages":["Russian"],"domains":["News","Web","Written"],"modalities":["text"],"description":"Textual Entailment Recognition for Russian. This task requires to recognize, given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text.","reference":"https://arxiv.org/pdf/2010.15925","citation":"\n@article{shavrina2020russiansuperglue,\n author = {Shavrina, Tatiana\nand Fenogenova, Alena\nand Emelyanov, Anton\nand Shevelev, Denis\nand Artemova, Ekaterina\nand Malykh, Valentin\nand Mikhailov, Vladislav\nand Tikhonova, Maria\nand Chertok, Andrey\nand Evlampiev, Andrey},\n journal = {arXiv preprint arXiv:2010.15925},\n title = {RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark},\n year = {2020},\n}\n","isPublic":true,"sourceDataset":"mteb/TERRa","license":"mit","dateFrom":"2000-01-01","dateTo":"2018-01-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"max_ap","numModels":0},{"name":"WebLINXCandidatesReranking","type":"Reranking","simplifiedType":"retrieval","languages":["English"],"domains":["Academic","Web","Written"],"modalities":["text"],"description":"WebLINX is a large-scale benchmark of 100K interactions across 2300 expert demonstrations of conversational web navigation. The reranking task focuses on finding relevant elements at every given step in the trajectory.","reference":"https://mcgill-nlp.github.io/weblinx","citation":"\n@misc{lù2024weblinx,\n archiveprefix = {arXiv},\n author = {Xing Han Lù and Zdeněk Kasner and Siva Reddy},\n eprint = {2402.05930},\n primaryclass = {cs.CL},\n title = {WebLINX: Real-World Website Navigation with Multi-Turn Dialogue},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/WebLINXCandidatesReranking","license":"cc-by-nc-sa-4.0","dateFrom":"2023-03-01","dateTo":"2023-10-30","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"mrr_at_10","numModels":0},{"name":"AlloprofReranking","type":"Reranking","simplifiedType":"retrieval","languages":["French"],"domains":["Web","Academic","Written"],"modalities":["text"],"description":"This dataset was provided by AlloProf, an organisation in Quebec, Canada offering resources and a help forum curated by a large number of teachers to students on all subjects taught from in primary and secondary school","reference":"https://huggingface.co/datasets/antoinelb7/alloprof","citation":"\n@misc{lef23,\n author = {Lefebvre-Brossard, Antoine and Gazaille, Stephane and Desmarais, Michel C.},\n copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International},\n doi = {10.48550/ARXIV.2302.07738},\n keywords = {Computation and Language (cs.CL), Information Retrieval (cs.IR), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},\n publisher = {arXiv},\n title = {Alloprof: a new French question-answer education dataset and its use in an information retrieval case study},\n url = {https://arxiv.org/abs/2302.07738},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/AlloprofReranking","license":"cc-by-nc-sa-4.0","dateFrom":"2020-01-01","dateTo":"2023-04-14","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"map_at_1000","numModels":0},{"name":"VoyageMMarcoReranking","type":"Reranking","simplifiedType":"retrieval","languages":["Japanese"],"domains":["Academic","Non-fiction","Written"],"modalities":["text"],"description":"a hard-negative augmented version of the Japanese MMARCO dataset as used in Voyage AI Evaluation Suite","reference":"https://arxiv.org/abs/2312.16144","citation":"\n@misc{clavie2023jacolbert,\n archiveprefix = {arXiv},\n author = {Benjamin Clavié},\n eprint = {2312.16144},\n title = {Towards Better Monolingual Japanese Retrievers with Multi-Vector Models},\n url = {https://arxiv.org/abs/2312.16144},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/VoyageMMarcoReranking","license":"cc-by-4.0","dateFrom":"2016-12-01","dateTo":"2023-12-23","annotationsCreators":"derived","dialect":["jpn-Jpan"],"sampleCreation":"found","mainScore":"map_at_1000","numModels":0},{"name":"WikipediaRerankingMultilingual","type":"Reranking","simplifiedType":"retrieval","languages":["Bengali","Bulgarian","Czech","Danish","Dutch","English","Finnish","German","Hindi","Italian","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Persian","Portuguese","Romanian","Serbian","Swedish"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"The dataset is derived from Cohere's wikipedia-2023-11 dataset and contains synthetically generated queries.","reference":"https://huggingface.co/datasets/ellamind/wikipedia-2023-11-reranking-multilingual","citation":"","isPublic":true,"sourceDataset":"mteb/WikipediaRerankingMultilingual","license":"cc-by-sa-3.0","dateFrom":"2023-11-01","dateTo":"2024-05-15","annotationsCreators":"LM-generated and reviewed","dialect":[],"sampleCreation":"LM-generated and verified","mainScore":"map_at_1000","numModels":0},{"name":"RuBQReranking","type":"Reranking","simplifiedType":"retrieval","languages":["Russian"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"Paragraph reranking based on RuBQ 2.0. Give paragraphs that answer the question higher scores.","reference":"https://openreview.net/pdf?id=P5UQFFoQ4PJ","citation":"\n@inproceedings{RuBQ2021,\n author = {Ivan Rybin and Vladislav Korablinov and Pavel Efimov and Pavel Braslavski},\n booktitle = {ESWC},\n pages = {532--547},\n title = {RuBQ 2.0: An Innovated Russian Question Answering Dataset},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/RuBQReranking","license":"cc-by-sa-4.0","dateFrom":"2001-01-01","dateTo":"2021-01-01","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"map_at_1000","numModels":0},{"name":"T2Reranking","type":"Reranking","simplifiedType":"retrieval","languages":["Mandarin Chinese"],"domains":["Web","Written"],"modalities":["text"],"description":"T2Ranking: A large-scale Chinese Benchmark for Passage Ranking","reference":"https://arxiv.org/abs/2304.03679","citation":"\n@misc{xie2023t2ranking,\n archiveprefix = {arXiv},\n author = {Xiaohui Xie and Qian Dong and Bingning Wang and Feiyang Lv and Ting Yao and Weinan Gan and Zhijing Wu and Xiangsheng Li and Haitao Li and Yiqun Liu and Jin Ma},\n eprint = {2304.03679},\n primaryclass = {cs.IR},\n title = {T2Ranking: A large-scale Chinese Benchmark for Passage Ranking},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/T2Reranking","license":"not specified","dateFrom":"2022-01-01","dateTo":"2023-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"map_at_1000","numModels":0},{"name":"GermanSTSBenchmark","type":"STS","simplifiedType":"semantic-similarity","languages":["German"],"domains":["News","Web","Written"],"modalities":["text"],"description":"Semantic Textual Similarity Benchmark (STSbenchmark) dataset translated into German. Translations were originally done by T-Systems on site services GmbH.","reference":"https://github.com/t-systems-on-site-services-gmbh/german-STSbenchmark","citation":"","isPublic":true,"sourceDataset":"mteb/GermanSTSBenchmark","license":"cc-by-sa-3.0","dateFrom":"2023-11-09","dateTo":"2024-01-24","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"machine-translated","mainScore":"cosine_spearman","numModels":0},{"name":"SICK-R","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Web","Written"],"modalities":["text"],"description":"Semantic Textual Similarity SICK-R dataset","reference":"https://aclanthology.org/L14-1314/","citation":"\n@inproceedings{marelli-etal-2014-sick,\n address = {Reykjavik, Iceland},\n author = {Marelli, Marco and\nMenini, Stefano and\nBaroni, Marco and\nBentivogli, Luisa and\nBernardi, Raffaella and\nZamparelli, Roberto},\n booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)},\n editor = {Calzolari, Nicoletta and\nChoukri, Khalid and\nDeclerck, Thierry and\nLoftsson, Hrafn and\nMaegaard, Bente and\nMariani, Joseph and\nMoreno, Asuncion and\nOdijk, Jan and\nPiperidis, Stelios},\n month = may,\n pages = {216--223},\n publisher = {European Language Resources Association (ELRA)},\n title = {A {SICK} cure for the evaluation of compositional distributional semantic models},\n url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/363_Paper.pdf},\n year = {2014},\n}\n","isPublic":true,"sourceDataset":"mteb/sickr-sts","license":"cc-by-nc-sa-3.0","dateFrom":"2014-01-01","dateTo":"2014-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS12","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Encyclopaedic","News","Written"],"modalities":["text"],"description":"SemEval-2012 Task 6.","reference":"https://www.aclweb.org/anthology/S12-1051.pdf","citation":"\n@inproceedings{10.5555/2387636.2387697,\n address = {USA},\n author = {Agirre, Eneko and Diab, Mona and Cer, Daniel and Gonzalez-Agirre, Aitor},\n booktitle = {Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation},\n location = {Montr\\'{e}al, Canada},\n numpages = {9},\n pages = {385–393},\n publisher = {Association for Computational Linguistics},\n series = {SemEval '12},\n title = {SemEval-2012 task 6: a pilot on semantic textual similarity},\n year = {2012},\n}\n","isPublic":true,"sourceDataset":"mteb/sts12-sts","license":"not specified","dateFrom":"2005-01-01","dateTo":"2012-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS13","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Web","News","Non-fiction","Written"],"modalities":["text"],"description":"SemEval STS 2013 dataset.","reference":"https://www.aclweb.org/anthology/S13-1004/","citation":"\n@inproceedings{agirre-etal-2013-sem,\n address = {Atlanta, Georgia, USA},\n author = {Agirre, Eneko and\nCer, Daniel and\nDiab, Mona and\nGonzalez-Agirre, Aitor and\nGuo, Weiwei},\n booktitle = {Second Joint Conference on Lexical and Computational Semantics (*{SEM}), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity},\n editor = {Diab, Mona and\nBaldwin, Tim and\nBaroni, Marco},\n month = jun,\n pages = {32--43},\n publisher = {Association for Computational Linguistics},\n title = {*{SEM} 2013 shared task: Semantic Textual Similarity},\n url = {https://aclanthology.org/S13-1004/},\n year = {2013},\n}\n","isPublic":true,"sourceDataset":"mteb/sts13-sts","license":"not specified","dateFrom":"2012-01-01","dateTo":"2012-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS14","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Blog","Web","Spoken"],"modalities":["text"],"description":"SemEval STS 2014 dataset. Currently only the English dataset","reference":"https://www.aclweb.org/anthology/S14-1002","citation":"\n@inproceedings{bandhakavi-etal-2014-generating,\n address = {Dublin, Ireland},\n author = {Bandhakavi, Anil and\nWiratunga, Nirmalie and\nP, Deepak and\nMassie, Stewart},\n booktitle = {Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*{SEM} 2014)},\n doi = {10.3115/v1/S14-1002},\n editor = {Bos, Johan and\nFrank, Anette and\nNavigli, Roberto},\n month = aug,\n pages = {12--21},\n publisher = {Association for Computational Linguistics and Dublin City University},\n title = {Generating a Word-Emotion Lexicon from {\\#}Emotional Tweets},\n url = {https://aclanthology.org/S14-1002},\n year = {2014},\n}\n","isPublic":true,"sourceDataset":"mteb/sts14-sts","license":"not specified","dateFrom":"2012-01-01","dateTo":"2012-08-31","annotationsCreators":"derived","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS15","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Blog","News","Web","Written","Spoken"],"modalities":["text"],"description":"SemEval STS 2015 dataset","reference":"https://www.aclweb.org/anthology/S15-2010","citation":"\n@inproceedings{bicici-2015-rtm,\n address = {Denver, Colorado},\n author = {Bi{\\c{c}}ici, Ergun},\n booktitle = {Proceedings of the 9th International Workshop on Semantic Evaluation ({S}em{E}val 2015)},\n doi = {10.18653/v1/S15-2010},\n editor = {Nakov, Preslav and\nZesch, Torsten and\nCer, Daniel and\nJurgens, David},\n month = jun,\n pages = {56--63},\n publisher = {Association for Computational Linguistics},\n title = {{RTM}-{DCU}: Predicting Semantic Similarity with Referential Translation Machines},\n url = {https://aclanthology.org/S15-2010},\n year = {2015},\n}\n","isPublic":true,"sourceDataset":"mteb/sts15-sts","license":"not specified","dateFrom":"2008-01-01","dateTo":"2014-07-28","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STSBenchmark","type":"STS","simplifiedType":"semantic-similarity","languages":["English"],"domains":["Blog","News","Written"],"modalities":["text"],"description":"Semantic Textual Similarity Benchmark (STSbenchmark) dataset.","reference":"https://github.com/PhilipMay/stsb-multi-mt/","citation":"\n@inproceedings{cer-etal-2017-semeval,\n address = {Vancouver, Canada},\n author = {Cer, Daniel and\nDiab, Mona and\nAgirre, Eneko and\nLopez-Gazpio, I{\\~n}igo and\nSpecia, Lucia},\n booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)},\n doi = {10.18653/v1/S17-2001},\n editor = {Bethard, Steven and\nCarpuat, Marine and\nApidianaki, Marianna and\nMohammad, Saif M. and\nCer, Daniel and\nJurgens, David},\n month = aug,\n pages = {1--14},\n publisher = {Association for Computational Linguistics},\n title = {{S}em{E}val-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation},\n url = {https://aclanthology.org/S17-2001},\n year = {2017},\n}\n","isPublic":true,"sourceDataset":"mteb/stsbenchmark-sts","license":"not specified","dateFrom":"2021-01-01","dateTo":"2021-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"machine-translated and verified","mainScore":"cosine_spearman","numModels":0},{"name":"FaroeseSTS","type":"STS","simplifiedType":"semantic-similarity","languages":["Faroese"],"domains":["News","Web","Written"],"modalities":["text"],"description":"Semantic Text Similarity (STS) corpus for Faroese.","reference":"https://aclanthology.org/2023.nodalida-1.74.pdf","citation":"\n@inproceedings{snaebjarnarson-etal-2023-transfer,\n address = {Tórshavn, Faroe Islands},\n author = {Snæbjarnarson, Vésteinn and\nSimonsen, Annika and\nGlavaš, Goran and\nVulić, Ivan},\n booktitle = {Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)},\n month = {may 22--24},\n publisher = {Link{\\\"o}ping University Electronic Press, Sweden},\n title = {{T}ransfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/FaroeseSTS","license":"cc-by-4.0","dateFrom":"2018-05-01","dateTo":"2020-03-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"cosine_spearman","numModels":0},{"name":"FinParaSTS","type":"STS","simplifiedType":"semantic-similarity","languages":["Finnish"],"domains":["News","Subtitles","Written"],"modalities":["text"],"description":"Finnish paraphrase-based semantic similarity corpus","reference":"https://huggingface.co/datasets/TurkuNLP/turku_paraphrase_corpus","citation":"\n@inproceedings{kanerva-etal-2021-finnish,\n address = {Reykjavik, Iceland (Online)},\n author = {Kanerva, Jenna and\nGinter, Filip and\nChang, Li-Hsin and\nRastas, Iiro and\nSkantsi, Valtteri and\nKilpel{\\\"a}inen, Jemina and\nKupari, Hanna-Mari and\nSaarni, Jenna and\nSev{\\'o}n, Maija and\nTarkka, Otto},\n booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)},\n editor = {Dobnik, Simon and\n{\\\\O}vrelid, Lilja},\n month = may # { 31--2 } # jun,\n pages = {288--298},\n publisher = {Link{\\\"o}ping University Electronic Press, Sweden},\n title = {{F}innish Paraphrase Corpus},\n url = {https://aclanthology.org/2021.nodalida-main.29},\n year = {2021},\n}\n","isPublic":true,"sourceDataset":"mteb/FinParaSTS","license":"cc-by-sa-4.0","dateFrom":"2017-01-01","dateTo":"2021-12-31","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"found","mainScore":"cosine_spearman","numModels":0},{"name":"JSICK","type":"STS","simplifiedType":"semantic-similarity","languages":["Japanese"],"domains":["Web","Written"],"modalities":["text"],"description":"JSICK is the Japanese NLI and STS dataset by manually translating the English dataset SICK (Marelli et al., 2014) into Japanese.","reference":"https://github.com/sbintuitions/JMTEB","citation":"\n@article{yanaka2022compositional,\n author = {Yanaka, Hitomi and Mineshima, Koji},\n journal = {Transactions of the Association for Computational Linguistics},\n pages = {1266--1284},\n publisher = {MIT Press One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA~…},\n title = {Compositional Evaluation on Japanese Textual Entailment and Similarity},\n volume = {10},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/JSICK","license":"cc-by-4.0","dateFrom":"2000-01-01","dateTo":"2012-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"cosine_spearman","numModels":0},{"name":"IndicCrosslingualSTS","type":"STS","simplifiedType":"semantic-similarity","languages":["Assamese","Bengali","English","Gujarati","Hindi","Kannada","Malayalam","Marathi","Odia","Panjabi","Tamil","Telugu","Urdu"],"domains":["News","Non-fiction","Web","Spoken","Government","Written","Spoken"],"modalities":["text"],"description":"This is a Semantic Textual Similarity testset between English and 12 high-resource Indic languages.","reference":"https://huggingface.co/datasets/jaygala24/indic_sts","citation":"\n@article{10.1162/tacl_a_00452,\n author = {Ramesh, Gowtham and Doddapaneni, Sumanth and Bheemaraj, Aravinth and Jobanputra, Mayank and AK, Raghavan and Sharma, Ajitesh and Sahoo, Sujit and Diddee, Harshita and J, Mahalakshmi and Kakwani, Divyanshu and Kumar, Navneet and Pradeep, Aswin and Nagaraj, Srihari and Deepak, Kumar and Raghavan, Vivek and Kunchukuttan, Anoop and Kumar, Pratyush and Khapra, Mitesh Shantadevi},\n doi = {10.1162/tacl_a_00452},\n eprint = {https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl\\\\_a\\\\_00452/1987010/tacl\\\\_a\\\\_00452.pdf},\n issn = {2307-387X},\n journal = {Transactions of the Association for Computational Linguistics},\n month = {02},\n pages = {145-162},\n title = {{Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages}},\n url = {https://doi.org/10.1162/tacl\\\\_a\\\\_00452},\n volume = {10},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/IndicCrosslingualSTS","license":"cc0-1.0","dateFrom":"2021-04-30","dateTo":"2021-06-09","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"SemRel24STS","type":"STS","simplifiedType":"semantic-similarity","languages":["Afrikaans","Algerian Arabic","Amharic","English","Hausa","Hindi","Indonesian","Kinyarwanda","Marathi","Moroccan Arabic","Standard Arabic","Telugu"],"domains":["Spoken","Written"],"modalities":["text"],"description":"SemRel2024 is a collection of Semantic Textual Relatedness (STR) datasets for 14 languages, including African and Asian languages. The datasets are composed of sentence pairs, each assigned a relatedness score between 0 (completely) unrelated and 1 (maximally related) with a large range of expected relatedness values.","reference":"https://huggingface.co/datasets/SemRel/SemRel2024","citation":"\n@misc{ousidhoum2024semrel2024,\n archiveprefix = {arXiv},\n author = {Nedjma Ousidhoum and Shamsuddeen Hassan Muhammad and Mohamed Abdalla and Idris Abdulmumin and Ibrahim Said Ahmad and\nSanchit Ahuja and Alham Fikri Aji and Vladimir Araujo and Abinew Ali Ayele and Pavan Baswani and Meriem Beloucif and\nChris Biemann and Sofia Bourhim and Christine De Kock and Genet Shanko Dekebo and\nOumaima Hourrane and Gopichand Kanumolu and Lokesh Madasu and Samuel Rutunda and Manish Shrivastava and\nThamar Solorio and Nirmal Surange and Hailegnaw Getaneh Tilaye and Krishnapriya Vishnubhotla and Genta Winata and\nSeid Muhie Yimam and Saif M. Mohammad},\n eprint = {2402.08638},\n primaryclass = {cs.CL},\n title = {SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/SemRel24STS","license":"not specified","dateFrom":"2023-01-01","dateTo":"2023-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS17","type":"STS","simplifiedType":"semantic-similarity","languages":["Arabic","Dutch","English","French","German","Italian","Korean","Spanish","Turkish"],"domains":["News","Web","Written"],"modalities":["text"],"description":"Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation","reference":"https://alt.qcri.org/semeval2017/task1/","citation":"\n@inproceedings{cer-etal-2017-semeval,\n address = {Vancouver, Canada},\n author = {Cer, Daniel and\nDiab, Mona and\nAgirre, Eneko and\nLopez-Gazpio, I{\\\\~n}igo and\nSpecia, Lucia},\n booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)},\n doi = {10.18653/v1/S17-2001},\n editor = {Bethard, Steven and\nCarpuat, Marine and\nApidianaki, Marianna and\nMohammad, Saif M. and\nCer, Daniel and\nJurgens, David},\n month = aug,\n pages = {1--14},\n publisher = {Association for Computational Linguistics},\n title = {{S}em{E}val-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation},\n url = {https://aclanthology.org/S17-2001},\n year = {2017},\n}\n","isPublic":true,"sourceDataset":"mteb/sts17-crosslingual-sts","license":"not specified","dateFrom":"2014-01-01","dateTo":"2015-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"created","mainScore":"cosine_spearman","numModels":0},{"name":"STS22.v2","type":"STS","simplifiedType":"semantic-similarity","languages":["Arabic","English","French","German","Italian","Mandarin Chinese","Polish","Russian","Spanish","Turkish"],"domains":["News","Written"],"modalities":["text"],"description":"SemEval 2022 Task 8: Multilingual News Article Similarity. Version 2 filters updated on STS22 by removing pairs where one of entries contain empty sentences.","reference":"https://competitions.codalab.org/competitions/33835","citation":"\n@inproceedings{chen-etal-2022-semeval,\n address = {Seattle, United States},\n author = {Chen, Xi and\nZeynali, Ali and\nCamargo, Chico and\nFl{\\\"o}ck, Fabian and\nGaffney, Devin and\nGrabowicz, Przemyslaw and\nHale, Scott and\nJurgens, David and\nSamory, Mattia},\n booktitle = {Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)},\n doi = {10.18653/v1/2022.semeval-1.155},\n editor = {Emerson, Guy and\nSchluter, Natalie and\nStanovsky, Gabriel and\nKumar, Ritesh and\nPalmer, Alexis and\nSchneider, Nathan and\nSingh, Siddharth and\nRatan, Shyam},\n month = jul,\n pages = {1094--1106},\n publisher = {Association for Computational Linguistics},\n title = {{S}em{E}val-2022 Task 8: Multilingual news article similarity},\n url = {https://aclanthology.org/2022.semeval-1.155},\n year = {2022},\n}\n","isPublic":true,"sourceDataset":"mteb/sts22-crosslingual-sts","license":"not specified","dateFrom":"2020-01-01","dateTo":"2020-06-11","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"cosine_spearman","numModels":0},{"name":"STSES","type":"STS","simplifiedType":"semantic-similarity","languages":["Spanish"],"domains":["News","Web","Written"],"modalities":["text"],"description":"Spanish test sets from SemEval-2014 (Agirre et al., 2014) and SemEval-2015 (Agirre et al., 2015)","reference":"https://huggingface.co/datasets/PlanTL-GOB-ES/sts-es","citation":"\n@inproceedings{agirre2014semeval,\n author = {Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel M and Diab, Mona T and Gonzalez-Agirre, Aitor and Guo, Weiwei and Mihalcea, Rada and Rigau, German and Wiebe, Janyce},\n booktitle = {SemEval@ COLING},\n pages = {81--91},\n title = {SemEval-2014 Task 10: Multilingual Semantic Textual Similarity.},\n year = {2014},\n}\n\n@inproceedings{agirre2015semeval,\n author = {Agirre, Eneko and Banea, Carmen and Cardie, Claire and Cer, Daniel and Diab, Mona and Gonzalez-Agirre, Aitor and Guo, Weiwei and Lopez-Gazpio, Inigo and Maritxalar, Montse and Mihalcea, Rada and others},\n booktitle = {Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015)},\n pages = {252--263},\n title = {Semeval-2015 task 2: Semantic textual similarity, english, spanish and pilot on interpretability},\n year = {2015},\n}\n","isPublic":true,"sourceDataset":"mteb/STSES","license":"cc-by-4.0","dateFrom":"2014-01-01","dateTo":"2015-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"found","mainScore":"cosine_spearman","numModels":0},{"name":"STSB","type":"STS","simplifiedType":"semantic-similarity","languages":["Mandarin Chinese"],"domains":["News","Web","Written"],"modalities":["text"],"description":"A Chinese dataset for textual relatedness","reference":"https://aclanthology.org/2021.emnlp-main.357","citation":"\n@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","isPublic":true,"sourceDataset":"mteb/STSB","license":"not specified","dateFrom":"2012-01-01","dateTo":"2023-12-31","annotationsCreators":"human-annotated","dialect":[],"sampleCreation":"machine-translated","mainScore":"cosine_spearman","numModels":0},{"name":"MIRACLRetrievalHardNegatives","type":"Retrieval","simplifiedType":"retrieval","languages":["Arabic","Bengali","Chinese","English","Finnish","French","German","Hindi","Indonesian","Japanese","Korean","Persian","Russian","Spanish","Swahili (macrolanguage)","Telugu","Thai","Yoruba"],"domains":["Encyclopaedic","Written"],"modalities":["text"],"description":"MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual retrieval dataset that focuses on search across 18 different languages. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct.","reference":"http://miracl.ai/","citation":"\n@article{10.1162/tacl_a_00595,\n author = {Zhang, Xinyu and Thakur, Nandan and Ogundepo, Odunayo and Kamalloo, Ehsan and Alfonso-Hermelo, David and Li, Xiaoguang and Liu, Qun and Rezagholizadeh, Mehdi and Lin, Jimmy},\n doi = {10.1162/tacl_a_00595},\n eprint = {https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl\\_a\\_00595/2157340/tacl\\_a\\_00595.pdf},\n issn = {2307-387X},\n journal = {Transactions of the Association for Computational Linguistics},\n month = {09},\n pages = {1114-1131},\n title = {{MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages}},\n url = {https://doi.org/10.1162/tacl\\_a\\_00595},\n volume = {11},\n year = {2023},\n}\n","isPublic":true,"sourceDataset":"mteb/MIRACLRetrievalHardNegatives","license":"cc-by-sa-4.0","dateFrom":"2022-06-01","dateTo":"2023-01-30","annotationsCreators":"expert-annotated","dialect":[],"sampleCreation":"created","mainScore":"ndcg_at_10","numModels":0}],"rows":[{"rank":1,"model":{"name":"microsoft/harrier-oss-v1-27b","url":"https://huggingface.co/microsoft/harrier-oss-v1-27b","zeroShotPct":78,"activeParamsB":25.599,"totalParamsB":27.009,"embeddingDim":5376,"maxTokens":131072.0,"releaseDate":"2026-03-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":null,"memoryUsageMb":51515.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google/gemma-3-27b-pt","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AlphaNLI","AmazonCounterfactualClassification","AppsRetrieval","BornholmBitextMining","COIRCodeSearchNetRetrieval","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContestRetrieval","CodeTransOceanDLRetrieval","CosQARetrieval","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","EmotionClassification","FEVER","FiQA2018","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","HellaSwag","HotpotQAHardNegatives","IndicLangClassification","MIRACLRetrieval","MSMARCO","MrTidyRetrieval","NFCorpus","NQ","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","Quail","QuoraRetrieval","STSB","ScalaClassification","SciFact","SemRel24STS","SpartQA","StackOverflowQARetrieval","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","SyntheticText2SQLRetrieval","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"]},"zeroShotPct":78,"activeParamsB":25.599,"totalParamsB":27.009,"embeddingDim":5376,"maxTokens":131072,"meanTask":0.7427199384685496,"meanTaskType":0.6419565096604185,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05388066666666667,"MultilabelClassification":0.3643798869565217,"Classification":0.7994586408862911,"Retrieval":0.7826541941720541,"Reranking":0.6734768680555557,"STS":0.7998504802714647,"Clustering":0.5892672456093637,"PairClassification":0.8543996136363635,"BitextMining":0.8602409906894853},"scoresByTask":{"SemRel24STS":0.683996,"FinParaSTS":0.290392,"PolEmo2.0-OUT":0.806275,"JSICK":0.877858,"SwednClusteringP2P":0.5736325,"MalteseNewsClassification":0.475795,"CzechProductReviewSentimentClassification":0.727539,"STS13":0.915818,"IndicCrosslingualSTS":0.6342525833333333,"SprintDuplicateQuestions":0.973245,"WikipediaRerankingMultilingual":0.904329375,"EstonianValenceClassification":0.676406,"STS15":0.917748,"MLQARetrieval":0.7957584693877551,"HALClusteringS2S.v2":0.325495,"PoemSentimentClassification":0.8201050000000001,"BrazilianToxicTweetsClassification":0.381299,"StatcanDialogueDatasetRetrieval":0.550995,"STS17":0.9059795454545455,"NordicLangClassification":0.957833,"ArXivHierarchicalClusteringP2P":0.633549,"NusaTranslationBitextMining":0.889361090909091,"MassiveIntentClassification":0.8055333823529413,"CLSClusteringP2P.v2":0.658391,"WikipediaRetrievalMultilingual":0.924549375,"SinhalaNewsClassification":0.859082,"StackExchangeClustering.v2":0.852834,"MasakhaNEWSClassification":0.878207375,"NusaX-senti":0.8014375,"CataloniaTweetClassification":0.79831775,"OpusparcusPC":0.9698245,"ArmenianParaphrasePC":0.967143,"KorHateSpeechMLClassification":0.398135,"WikiClusteringP2P.v2":0.3318842857142857,"AmazonCounterfactualClassification":0.9273223749999999,"ArXivHierarchicalClusteringS2S":0.628546,"NepaliNewsClassification":0.981201,"ArguAna":0.67759,"AILAStatutes":0.55137,"ToxicConversationsClassification":0.904102,"IndicGenBenchFloresBitextMining":0.9810043017241379,"CSFDSKMovieReviewSentimentClassification":0.678955,"SiswatiNewsClassification":0.585,"CEDRClassification":0.52152,"TempReasonL1":0.41844,"BiorxivClusteringP2P.v2":0.570701,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.84586,"SpartQA":0.87693,"BUCC.v2":0.989296,"BornholmBitextMining":0.770467,"BibleNLPBitextMining":0.3847727530193237,"SIB200ClusteringS2S":0.486320269035533,"RTE3":0.913026,"TERRa":0.615074,"SwahiliNewsClassification":0.651758,"DBpediaClassification":0.988037,"HagridRetrieval":0.98896,"MultiHateClassification":0.8620909090909091,"WikiCitiesClustering":0.949967,"Tatoeba":0.8768850982142856,"STS14":0.880416,"KurdishSentimentClassification":0.909009,"PpcPC":0.957645,"STSBenchmark":0.913763,"MasakhaNEWSClusteringS2S":0.646995875,"MIRACLRetrievalHardNegatives":0.6931716666666667,"NTREXBitextMining":0.9592173021920668,"DalajClassification":0.658559,"SICK-R":0.867309,"NollySentiBitextMining":0.8375885000000001,"SCIDOCS":0.28932,"BelebeleRetrieval":0.8648909840425532,"IsiZuluNewsClassification":0.425665,"TwitterHjerneRetrieval":0.90211,"STSB":0.853896,"STSES":0.756197,"KorSarcasmClassification":0.711182,"WinoGrande":0.93144,"SentimentAnalysisHindi":0.806965,"RuBQReranking":0.77722,"CyrillicTurkicLangClassification":0.994434,"FilipinoShopeeReviewsClassification":0.527881,"STS22.v2":0.7073965555555556,"RomaniBibleClustering":0.465789,"MacedonianTweetSentimentClassification":0.740737,"AfriSentiClassification":0.5613748333333334,"STS12":0.836763,"LegalBenchCorporateLobbying":0.9578,"TweetTopicSingleClassification":0.778382,"MultiEURLEXMultilabelClassification":0.045150434782608696,"T2Reranking":0.66654,"GreekLegalCodeClassification":0.6951419999999999,"SlovakMovieReviewSentimentClassification":0.961572,"FaroeseSTS":0.86387,"SwissJudgementClassification":0.7957573333333333,"TwitterURLCorpus":0.876308,"TRECCOVID":0.88855,"IndicLangClassification":0.993004,"GujaratiNewsClassification":0.912671,"ItaCaseholdClassification":0.792308,"FloresBitextMining":0.8784565858688304,"Robust04InstructionRetrieval":0.029419,"BulgarianStoreReviewSentimentClassfication":0.815934,"OdiaNewsClassification":0.977865,"TswanaNewsClassification":0.554415,"PlscClusteringP2P.v2":0.751215,"FinancialPhrasebankClassification":0.933746,"News21InstructionRetrieval":0.043295,"StackOverflowQA":0.96994,"Core17InstructionRetrieval":0.088928,"WebLINXCandidatesReranking":0.18854183333333333,"PAC":0.845699,"VoyageMMarcoReranking":0.67239,"MedrxivClusteringP2P.v2":0.488082,"GermanSTSBenchmark":0.891953,"AlloprofReranking":0.83184,"AlloProfClusteringS2S.v2":0.610955,"ScalaClassification":0.911206,"indonli":0.662527,"IN22GenBitextMining":0.9131168833992095,"CovidRetrieval":0.83096,"BigPatentClustering.v2":0.453919,"PawsXPairClassification":0.6790958571428571,"NusaXBitextMining":0.8908803636363636,"NusaParagraphEmotionClassification":0.8054431,"LEMBPasskeyRetrieval":0.975,"CTKFactsNLI":0.88991,"DiaBlaBitextMining":0.882262,"IndonesianIdClickbaitClassification":0.712708,"XNLI":0.8945973928571428},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","BornholmBitextMining","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","IndicLangClassification","MIRACLRetrievalHardNegatives","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","STSB","ScalaClassification","SemRel24STS","SpartQA","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"],"experiments":null},{"rank":2,"model":{"name":"tencent/KaLM-Embedding-Gemma3-12B-2511","url":"https://huggingface.co/tencent/KaLM-Embedding-Gemma3-12B-2511","zeroShotPct":73,"activeParamsB":10.759,"totalParamsB":11.766,"embeddingDim":3840,"maxTokens":32768.0,"releaseDate":"2025-11-06","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":"@misc{zhao2025kalmembeddingv2,\n title={KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model},\n author={Xinping Zhao and Xinshuo Hu and Zifei Shan and Shouzheng Huang and Yao Zhou and Xin Zhang and Zetian Sun and Zhenyu Liu and Dongfang Li and Xinyuan Wei and Youcheng Pan and Yang Xiang and Meishan Zhang and Haofen Wang and Jun Yu and Baotian Hu and Min Zhang},\n year={2025},\n eprint={2506.20923},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2506.20923},\n}\n\n@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":44884.0,"license":null,"publicTrainingCode":"https://github.com/HITsz-TMG/KaLM-Embedding","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AlphaNLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BibleNLPBitextMining","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","BornholmBitextMining","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBPedia","DBpediaClassification","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","HellaSwag","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","IndicLangClassification","ItaCaseholdClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","Quail","QuoraRetrieval","STSB","ScalaClassification","SciFact","SemRel24STS","SpartQA","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","TERRa","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","WinoGrande","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":73,"activeParamsB":10.759,"totalParamsB":11.766,"embeddingDim":3840,"maxTokens":32768,"meanTask":0.7231813660530395,"meanTaskType":0.6251302975114925,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05491833333333334,"MultilabelClassification":0.33031384347826087,"Classification":0.7788386506715583,"Retrieval":0.7565970746841881,"Reranking":0.672726170138889,"STS":0.7901802509469698,"Clustering":0.5577263799854967,"PairClassification":0.847286685064935,"BitextMining":0.8375852892998012},"scoresByTask":{"SemRel24STS":0.7105351666666667,"FinParaSTS":0.2992645,"PolEmo2.0-OUT":0.797571,"JSICK":0.849183,"SwednClusteringP2P":0.5169735,"MalteseNewsClassification":0.447801,"CzechProductReviewSentimentClassification":0.708105,"STS13":0.898287,"IndicCrosslingualSTS":0.6343688333333334,"SprintDuplicateQuestions":0.968338,"WikipediaRerankingMultilingual":0.9041511875,"EstonianValenceClassification":0.645599,"STS15":0.901293,"MLQARetrieval":0.8201993877551021,"HALClusteringS2S.v2":0.316376,"PoemSentimentClassification":0.7789835,"BrazilianToxicTweetsClassification":0.315723,"StatcanDialogueDatasetRetrieval":0.5407875,"STS17":0.8731291818181819,"NordicLangClassification":0.9384,"ArXivHierarchicalClusteringP2P":0.639729,"NusaTranslationBitextMining":0.8546102727272727,"MassiveIntentClassification":0.8003309803921568,"CLSClusteringP2P.v2":0.539999,"WikipediaRetrievalMultilingual":0.918124375,"SinhalaNewsClassification":0.854736,"StackExchangeClustering.v2":0.74256,"MasakhaNEWSClassification":0.872703,"NusaX-senti":0.805875,"CataloniaTweetClassification":0.7523475,"OpusparcusPC":0.9695594999999999,"ArmenianParaphrasePC":0.970305,"KorHateSpeechMLClassification":0.307511,"WikiClusteringP2P.v2":0.3295307142857143,"AmazonCounterfactualClassification":0.909922,"ArXivHierarchicalClusteringS2S":0.640299,"NepaliNewsClassification":0.981689,"ArguAna":0.70307,"AILAStatutes":0.56263,"ToxicConversationsClassification":0.899951,"IndicGenBenchFloresBitextMining":0.9756246896551725,"CSFDSKMovieReviewSentimentClassification":0.645605,"SiswatiNewsClassification":0.58125,"CEDRClassification":0.524389,"TempReasonL1":0.07171,"BiorxivClusteringP2P.v2":0.497255,"NorwegianCourtsBitextMining":0.935673,"PunjabiNewsClassification":0.838854,"SpartQA":0.8483,"BUCC.v2":0.98897775,"BornholmBitextMining":0.718767,"BibleNLPBitextMining":0.31864295350241545,"SIB200ClusteringS2S":0.4718933654822335,"RTE3":0.9120552500000001,"TERRa":0.6156,"SwahiliNewsClassification":0.66958,"DBpediaClassification":0.989209,"HagridRetrieval":0.98896,"MultiHateClassification":0.8374181818181818,"WikiCitiesClustering":0.931043,"Tatoeba":0.8560969910714286,"STS14":0.859142,"KurdishSentimentClassification":0.895471,"PpcPC":0.955388,"STSBenchmark":0.889996,"MasakhaNEWSClusteringS2S":0.6373815,"MIRACLRetrievalHardNegatives":0.6607966666666667,"NTREXBitextMining":0.9456119885177453,"DalajClassification":0.621284,"SICK-R":0.824593,"NollySentiBitextMining":0.79522625,"SCIDOCS":0.24006,"BelebeleRetrieval":0.888679414893617,"IsiZuluNewsClassification":0.391755,"TwitterHjerneRetrieval":0.90399,"STSB":0.844915,"STSES":0.794094,"KorSarcasmClassification":0.647852,"WinoGrande":0.89889,"SentimentAnalysisHindi":0.795318,"RuBQReranking":0.772733,"CyrillicTurkicLangClassification":0.990479,"FilipinoShopeeReviewsClassification":0.515918,"STS22.v2":0.7025223333333334,"RomaniBibleClustering":0.45887,"MacedonianTweetSentimentClassification":0.735382,"AfriSentiClassification":0.56877875,"STS12":0.809175,"LegalBenchCorporateLobbying":0.94694,"TweetTopicSingleClassification":0.773479,"MultiEURLEXMultilabelClassification":0.05614521739130435,"T2Reranking":0.662488,"GreekLegalCodeClassification":0.6289549999999999,"SlovakMovieReviewSentimentClassification":0.952051,"FaroeseSTS":0.867355,"SwissJudgementClassification":0.5867976666666667,"TwitterURLCorpus":0.872952,"TRECCOVID":0.84572,"IndicLangClassification":0.991084,"GujaratiNewsClassification":0.923293,"ItaCaseholdClassification":0.850226,"FloresBitextMining":0.8424460393364241,"Robust04InstructionRetrieval":0.048629,"BulgarianStoreReviewSentimentClassfication":0.793407,"OdiaNewsClassification":0.968887,"TswanaNewsClassification":0.531417,"PlscClusteringP2P.v2":0.754165,"FinancialPhrasebankClassification":0.940989,"News21InstructionRetrieval":0.032615,"StackOverflowQA":0.95598,"Core17InstructionRetrieval":0.083511,"WebLINXCandidatesReranking":0.16804083333333333,"PAC":0.869852,"VoyageMMarcoReranking":0.71358,"MedrxivClusteringP2P.v2":0.441156,"GermanSTSBenchmark":0.885031,"AlloprofReranking":0.815364,"AlloProfClusteringS2S.v2":0.58342,"ScalaClassification":0.8625855,"indonli":0.665927,"IN22GenBitextMining":0.8981080988142293,"CovidRetrieval":0.82391,"BigPatentClustering.v2":0.422971,"PawsXPairClassification":0.6334174285714286,"NusaXBitextMining":0.8808017272727273,"NusaParagraphEmotionClassification":0.7334129,"LEMBPasskeyRetrieval":1.0,"CTKFactsNLI":0.8973880000000001,"DiaBlaBitextMining":0.878022,"IndonesianIdClickbaitClassification":0.613259,"XNLI":0.8592233571428572},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BibleNLPBitextMining","BiorxivClusteringP2P.v2","BornholmBitextMining","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","IndicLangClassification","ItaCaseholdClassification","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","STSB","ScalaClassification","SemRel24STS","SpartQA","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","TERRa","TRECCOVID","ToxicConversationsClassification","WinoGrande"],"experiments":null},{"rank":3,"model":{"name":"nvidia/llama-embed-nemotron-8b","url":"https://huggingface.co/nvidia/llama-embed-nemotron-8b","zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.505,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2025-10-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Algerian Arabic","Amharic","Arabic","Armenian","Batak Toba","Bengali","Buginese","Bulgarian","Catalan","Chinese","Czech","Danish","Dutch","English","Estonian","Finnish","French","Ganda","German","Hausa","Hindi","Hungarian","Igbo","Indonesian","Italian","Japanese","Javanese","Kinyarwanda","Korean","Korean (Korean)","Latvian","Lingala","Madurese","Maltese","Mandarin Chinese","Minangkabau","Modern Greek (1453-)","Moroccan Arabic","Nigerian Pidgin","Norwegian","Norwegian Bokmål","Oromo","Persian","Polish","Portuguese","Romanian","Rundi","Russian","Serbian","Shona","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Telugu","Thai","Tigrinya","Turkish","Vietnamese","Xhosa","Yoruba"],"citation":"@misc{babakhin2025llamaembednemotron8buniversaltextembedding,\n title={Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks},\n author={Yauhen Babakhin and Radek Osmulski and Ronay Ak and Gabriel Moreira and Mengyao Xu and Benedikt Schifferer and Bo Liu and Even Oldridge},\n year={2025},\n eprint={2511.07025},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2511.07025},\n}","memoryUsageMb":28629.0,"license":"https://huggingface.co/nvidia/llama-embed-nemotron-8b/blob/main/LICENSE","publicTrainingCode":"https://github.com/NVIDIA-NeMo/Automodel/tree/main/examples/retrieval/bi_encoder/llama_embed_nemotron_8b","publicTrainingData":"https://huggingface.co/datasets/nvidia/embed-nemotron-dataset-v1","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["flash_attention","llama-embed-nemotron"],"trainingDatasets":["AmazonReviewsClassification","BioASQ","EmotionClassification","FEVER","GooAQ","HotpotQA","MIRACLRetrieval","MSMARCO","MrTidyRetrieval","NFCorpus","NQ","Nemotron-CC-v2","PAQ","RedditClustering.v2","RedditClusteringP2P.v2","SQuAD","TriviaQA"]},"zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.505,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.6946133785217075,"meanTaskType":0.6109144107045219,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.108247,"MultilabelClassification":0.2985582,"Classification":0.7321480118745596,"Retrieval":0.6869422523476492,"Reranking":0.67778275,"STS":0.7941355811237374,"Clustering":0.5435334231072109,"PairClassification":0.8396886233766234,"BitextMining":0.8171938545109166},"scoresByTask":{"SemRel24STS":0.7027585833333333,"FinParaSTS":0.2655835,"PolEmo2.0-OUT":0.800607,"JSICK":0.837991,"SwednClusteringP2P":0.5423385000000001,"MalteseNewsClassification":0.392817,"CzechProductReviewSentimentClassification":0.680713,"STS13":0.919601,"IndicCrosslingualSTS":0.5817580833333333,"SprintDuplicateQuestions":0.960704,"WikipediaRerankingMultilingual":0.9168155,"EstonianValenceClassification":0.629095,"STS15":0.918253,"MLQARetrieval":0.8388199999999999,"HALClusteringS2S.v2":0.318365,"PoemSentimentClassification":0.670238,"BrazilianToxicTweetsClassification":0.290088,"StatcanDialogueDatasetRetrieval":0.416695,"STS17":0.899556909090909,"NordicLangClassification":0.842467,"ArXivHierarchicalClusteringP2P":0.628395,"NusaTranslationBitextMining":0.8778733636363637,"MassiveIntentClassification":0.7635048333333333,"CLSClusteringP2P.v2":0.442842,"WikipediaRetrievalMultilingual":0.930133125,"SinhalaNewsClassification":0.824805,"StackExchangeClustering.v2":0.764217,"MasakhaNEWSClassification":0.862284375,"NusaX-senti":0.7761874999999999,"CataloniaTweetClassification":0.5313345,"OpusparcusPC":0.9662145,"ArmenianParaphrasePC":0.968157,"KorHateSpeechMLClassification":0.229701,"WikiClusteringP2P.v2":0.32817657142857143,"AmazonCounterfactualClassification":0.839398125,"ArXivHierarchicalClusteringS2S":0.638916,"NepaliNewsClassification":0.975293,"ArguAna":0.75667,"AILAStatutes":0.54027,"ToxicConversationsClassification":0.869678,"IndicGenBenchFloresBitextMining":0.9654944741379311,"CSFDSKMovieReviewSentimentClassification":0.554297,"SiswatiNewsClassification":0.5825,"CEDRClassification":0.532465,"TempReasonL1":0.08053,"BiorxivClusteringP2P.v2":0.470971,"NorwegianCourtsBitextMining":0.937865,"PunjabiNewsClassification":0.83949,"SpartQA":0.1586,"BUCC.v2":0.98975225,"BornholmBitextMining":0.654767,"BibleNLPBitextMining":0.21487974094202897,"SIB200ClusteringS2S":0.5066993857868021,"RTE3":0.899653,"TERRa":0.672103,"SwahiliNewsClassification":0.644092,"DBpediaClassification":0.976367,"HagridRetrieval":0.9897,"MultiHateClassification":0.8031727272727273,"WikiCitiesClustering":0.904193,"Tatoeba":0.8154804821428572,"STS14":0.878389,"KurdishSentimentClassification":0.845395,"PpcPC":0.952382,"STSBenchmark":0.905535,"MasakhaNEWSClusteringS2S":0.6087263125,"MIRACLRetrievalHardNegatives":0.7304805555555556,"NTREXBitextMining":0.9104944963465553,"DalajClassification":0.527703,"SICK-R":0.853703,"NollySentiBitextMining":0.808328,"SCIDOCS":0.28167,"BelebeleRetrieval":0.8604118617021277,"IsiZuluNewsClassification":0.38258,"TwitterHjerneRetrieval":0.81387,"STSB":0.861397,"STSES":0.803377,"KorSarcasmClassification":0.638818,"WinoGrande":0.51751,"SentimentAnalysisHindi":0.784034,"RuBQReranking":0.804948,"CyrillicTurkicLangClassification":0.925244,"FilipinoShopeeReviewsClassification":0.5093745000000001,"STS22.v2":0.7154202222222222,"RomaniBibleClustering":0.432601,"MacedonianTweetSentimentClassification":0.686831,"AfriSentiClassification":0.4938890833333333,"STS12":0.833584,"LegalBenchCorporateLobbying":0.96153,"TweetTopicSingleClassification":0.784229,"MultiEURLEXMultilabelClassification":0.04771999999999999,"T2Reranking":0.68291,"GreekLegalCodeClassification":0.5127685,"SlovakMovieReviewSentimentClassification":0.899316,"FaroeseSTS":0.839302,"SwissJudgementClassification":0.6096906666666667,"TwitterURLCorpus":0.876654,"TRECCOVID":0.8819,"IndicLangClassification":0.955421,"GujaratiNewsClassification":0.897041,"ItaCaseholdClassification":0.732127,"FloresBitextMining":0.8021025148749156,"Robust04InstructionRetrieval":0.111077,"BulgarianStoreReviewSentimentClassfication":0.796703,"OdiaNewsClassification":0.868894,"TswanaNewsClassification":0.501848,"PlscClusteringP2P.v2":0.751806,"FinancialPhrasebankClassification":0.944037,"News21InstructionRetrieval":0.067581,"StackOverflowQA":0.96586,"Core17InstructionRetrieval":0.146083,"WebLINXCandidatesReranking":0.136632,"PAC":0.747089,"VoyageMMarcoReranking":0.712537,"MedrxivClusteringP2P.v2":0.420133,"GermanSTSBenchmark":0.88996,"AlloprofReranking":0.812854,"AlloProfClusteringS2S.v2":0.571449,"ScalaClassification":0.6586425,"indonli":0.616587,"IN22GenBitextMining":0.877533513833992,"CovidRetrieval":0.79531,"BigPatentClustering.v2":0.366706,"PawsXPairClassification":0.6166254285714287,"NusaXBitextMining":0.8824052727272726,"NusaParagraphEmotionClassification":0.5591682,"LEMBPasskeyRetrieval":0.845,"CTKFactsNLI":0.873466,"DiaBlaBitextMining":0.886544,"IndonesianIdClickbaitClassification":0.755997,"XNLI":0.8340289285714285},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":4,"model":{"name":"Qwen/Qwen3-Embedding-8B","url":"https://huggingface.co/Qwen/Qwen3-Embedding-8B","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2025-06-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{qwen3embedding,\n title={Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models},\n author={Zhang, Yanzhao and Li, Mingxin and Long, Dingkun and Zhang, Xin and Lin, Huan and Yang, Baosong and Xie, Pengjun and Yang, An and Liu, Dayiheng and Lin, Junyang and Huang, Fei and Zhou, Jingren},\n journal={arXiv preprint arXiv:2506.05176},\n year={2025}\n}","memoryUsageMb":14433.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.7058388101663448,"meanTaskType":0.6169352121149991,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.10064133333333332,"MultilabelClassification":0.28655478260869566,"Classification":0.7399706981526966,"Retrieval":0.7087702987397678,"Reranking":0.6563249861111111,"STS":0.8107530920138888,"Clustering":0.5764688671081853,"PairClassification":0.8640237521645022,"BitextMining":0.8089090988028113},"scoresByTask":{"SemRel24STS":0.6442776666666666,"FinParaSTS":0.33768600000000004,"PolEmo2.0-OUT":0.788057,"JSICK":0.893828,"SwednClusteringP2P":0.6008735,"MalteseNewsClassification":0.426513,"CzechProductReviewSentimentClassification":0.698779,"STS13":0.942216,"IndicCrosslingualSTS":0.6161280833333334,"SprintDuplicateQuestions":0.959506,"WikipediaRerankingMultilingual":0.90279425,"EstonianValenceClassification":0.599267,"STS15":0.93729,"MLQARetrieval":0.8354706122448979,"HALClusteringS2S.v2":0.322805,"PoemSentimentClassification":0.7521610000000001,"BrazilianToxicTweetsClassification":0.220215,"StatcanDialogueDatasetRetrieval":0.404605,"STS17":0.92123,"NordicLangClassification":0.919933,"ArXivHierarchicalClusteringP2P":0.648951,"NusaTranslationBitextMining":0.9222092727272727,"MassiveIntentClassification":0.791378725490196,"CLSClusteringP2P.v2":0.757166,"WikipediaRetrievalMultilingual":0.919601875,"SinhalaNewsClassification":0.790674,"StackExchangeClustering.v2":0.794072,"MasakhaNEWSClassification":0.8603329375,"NusaX-senti":0.8092916666666667,"CataloniaTweetClassification":0.5563435,"OpusparcusPC":0.9626049166666667,"ArmenianParaphrasePC":0.967634,"KorHateSpeechMLClassification":0.207953,"WikiClusteringP2P.v2":0.32338300000000003,"AmazonCounterfactualClassification":0.925999,"ArXivHierarchicalClusteringS2S":0.654822,"NepaliNewsClassification":0.973486,"ArguAna":0.76852,"AILAStatutes":0.85086,"ToxicConversationsClassification":0.916455,"IndicGenBenchFloresBitextMining":0.9433079568965517,"CSFDSKMovieReviewSentimentClassification":0.624316,"SiswatiNewsClassification":0.56625,"CEDRClassification":0.530499,"TempReasonL1":0.01346,"BiorxivClusteringP2P.v2":0.513103,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.851592,"SpartQA":0.15715,"BUCC.v2":0.98876025,"BornholmBitextMining":0.763267,"BibleNLPBitextMining":0.272096068236715,"SIB200ClusteringS2S":0.46601124873096444,"RTE3":0.91226425,"TERRa":0.713318,"SwahiliNewsClassification":0.675342,"DBpediaClassification":0.992578,"HagridRetrieval":0.98915,"MultiHateClassification":0.7966090909090909,"WikiCitiesClustering":0.880651,"Tatoeba":0.7964870178571429,"STS14":0.904208,"KurdishSentimentClassification":0.853045,"PpcPC":0.947037,"STSBenchmark":0.936023,"MasakhaNEWSClusteringS2S":0.612522125,"MIRACLRetrievalHardNegatives":0.7057716666666667,"NTREXBitextMining":0.8951777813152401,"DalajClassification":0.516329,"SICK-R":0.885986,"NollySentiBitextMining":0.66634925,"SCIDOCS":0.32742,"BelebeleRetrieval":0.8881362234042552,"IsiZuluNewsClassification":0.25492,"TwitterHjerneRetrieval":0.78199,"STSB":0.854981,"STSES":0.740794,"KorSarcasmClassification":0.620898,"WinoGrande":0.54225,"SentimentAnalysisHindi":0.800149,"RuBQReranking":0.734738,"CyrillicTurkicLangClassification":0.961523,"FilipinoShopeeReviewsClassification":0.5052490000000001,"STS22.v2":0.7258547222222221,"RomaniBibleClustering":0.451437,"MacedonianTweetSentimentClassification":0.746444,"AfriSentiClassification":0.52715625,"STS12":0.861378,"LegalBenchCorporateLobbying":0.95203,"TweetTopicSingleClassification":0.816125,"MultiEURLEXMultilabelClassification":0.04759391304347826,"T2Reranking":0.682946,"GreekLegalCodeClassification":0.5648435,"SlovakMovieReviewSentimentClassification":0.944092,"FaroeseSTS":0.872092,"SwissJudgementClassification":0.672724,"TwitterURLCorpus":0.869624,"TRECCOVID":0.94991,"IndicLangClassification":0.950796,"GujaratiNewsClassification":0.913126,"ItaCaseholdClassification":0.660633,"FloresBitextMining":0.7730248968897904,"Robust04InstructionRetrieval":0.085669,"BulgarianStoreReviewSentimentClassfication":0.782418,"OdiaNewsClassification":0.94902,"TswanaNewsClassification":0.406571,"PlscClusteringP2P.v2":0.751159,"FinancialPhrasebankClassification":0.951458,"News21InstructionRetrieval":0.090212,"StackOverflowQA":0.94751,"Core17InstructionRetrieval":0.126043,"WebLINXCandidatesReranking":0.11785666666666667,"PAC":0.653663,"VoyageMMarcoReranking":0.65082,"MedrxivClusteringP2P.v2":0.460863,"GermanSTSBenchmark":0.898077,"AlloprofReranking":0.848795,"AlloProfClusteringS2S.v2":0.596508,"ScalaClassification":0.57427975,"indonli":0.661053,"IN22GenBitextMining":0.8195555177865612,"CovidRetrieval":0.87653,"BigPatentClustering.v2":0.389175,"PawsXPairClassification":0.7459367857142858,"NusaXBitextMining":0.8790102727272727,"NusaParagraphEmotionClassification":0.6537666,"LEMBPasskeyRetrieval":0.8475,"CTKFactsNLI":0.878526,"DiaBlaBitextMining":0.866748,"IndonesianIdClickbaitClassification":0.650666,"XNLI":0.8867573214285714},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":5,"model":{"name":"google/gemini-embedding-001","url":"https://ai.google.dev/gemini-api/docs/embeddings","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":2048.0,"releaseDate":"2025-07-14","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Bengali","Chinese","Chinese (Traditional)","English","Finnish","French","German","Hindi","Indonesian","Iranian Persian","Japanese","Korean","Russian","Spanish","Standard Arabic","Swahili (individual language)","Telugu","Thai","Yoruba"],"citation":"@misc{lee2025geminiembeddinggeneralizableembeddings,\n title={Gemini Embedding: Generalizable Embeddings from Gemini},\n author={Jinhyuk Lee and Feiyang Chen and Sahil Dua and Daniel Cer and Madhuri Shanbhogue and Iftekhar Naim and Gustavo Hernández Ábrego and Zhe Li and Kaifeng Chen and Henrique Schechter Vera and Xiaoqi Ren and Shanfeng Zhang and Daniel Salz and Michael Boratko and Jay Han and Blair Chen and Shuo Huang and Vikram Rao and Paul Suganthan and Feng Han and Andreas Doumanoglou and Nithi Gupta and Fedor Moiseev and Cathy Yip and Aashi Jain and Simon Baumgartner and Shahrokh Shahi and Frank Palma Gomez and Sandeep Mariserla and Min Choi and Parashar Shah and Sonam Goenka and Ke Chen and Ye Xia and Koert Chen and Sai Meher Karthik Duddu and Yichang Chen and Trevor Walker and Wenlei Zhou and Rakesh Ghiya and Zach Gleicher and Karan Gill and Zhe Dong and Mojtaba Seyedhosseini and Yunhsuan Sung and Raphael Hoffmann and Tom Duerig},\n year={2025},\n eprint={2503.07891},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2503.07891},\n}","memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["vertexai"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":2048,"meanTask":0.683679871875291,"meanTaskType":0.595943083153859,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05179366666666666,"MultilabelClassification":0.29159603478260865,"Classification":0.7181957413578328,"Retrieval":0.6770753736353683,"Reranking":0.6558326736111112,"STS":0.7940258876262626,"Clustering":0.5458546372909491,"PairClassification":0.8363172683982684,"BitextMining":0.7927964650156638},"scoresByTask":{"SemRel24STS":0.7313653333333333,"FinParaSTS":0.28603449999999997,"PolEmo2.0-OUT":0.775304,"JSICK":0.849949,"SwednClusteringP2P":0.45836200000000005,"MalteseNewsClassification":0.373835,"CzechProductReviewSentimentClassification":0.681592,"STS13":0.89887,"IndicCrosslingualSTS":0.6287478333333333,"SprintDuplicateQuestions":0.968976,"WikipediaRerankingMultilingual":0.922392375,"EstonianValenceClassification":0.535208,"STS15":0.904404,"MLQARetrieval":0.8415779591836734,"HALClusteringS2S.v2":0.320018,"PoemSentimentClassification":0.596612,"BrazilianToxicTweetsClassification":0.280225,"StatcanDialogueDatasetRetrieval":0.5111399999999999,"STS17":0.8857540909090909,"NordicLangClassification":0.859667,"ArXivHierarchicalClusteringP2P":0.649199,"NusaTranslationBitextMining":0.7751845454545454,"MassiveIntentClassification":0.8192474215686275,"CLSClusteringP2P.v2":0.426782,"WikipediaRetrievalMultilingual":0.942049375,"SinhalaNewsClassification":0.8229,"StackExchangeClustering.v2":0.920656,"MasakhaNEWSClassification":0.83545275,"NusaX-senti":0.803125,"CataloniaTweetClassification":0.54509575,"OpusparcusPC":0.9661754166666667,"ArmenianParaphrasePC":0.968924,"KorHateSpeechMLClassification":0.176878,"WikiClusteringP2P.v2":0.2822919285714286,"AmazonCounterfactualClassification":0.881994875,"ArXivHierarchicalClusteringS2S":0.63843,"NepaliNewsClassification":0.981396,"ArguAna":0.86442,"AILAStatutes":0.4877,"ToxicConversationsClassification":0.887451,"IndicGenBenchFloresBitextMining":0.9677459741379311,"CSFDSKMovieReviewSentimentClassification":0.49375,"SiswatiNewsClassification":0.62375,"CEDRClassification":0.57423,"TempReasonL1":0.02956,"BiorxivClusteringP2P.v2":0.538637,"NorwegianCourtsBitextMining":0.934211,"PunjabiNewsClassification":0.826115,"SpartQA":0.10297,"BUCC.v2":0.98993025,"BornholmBitextMining":0.516864,"BibleNLPBitextMining":0.20715552053140096,"SIB200ClusteringS2S":0.4174267055837564,"RTE3":0.895495,"TERRa":0.639244,"SwahiliNewsClassification":0.660498,"DBpediaClassification":0.947559,"HagridRetrieval":0.99306,"MultiHateClassification":0.7247181818181818,"WikiCitiesClustering":0.916292,"Tatoeba":0.8197292857142857,"STS14":0.854098,"KurdishSentimentClassification":0.863865,"PpcPC":0.955008,"STSBenchmark":0.890753,"MasakhaNEWSClusteringS2S":0.5744815625,"MIRACLRetrievalHardNegatives":0.7041794444444444,"NTREXBitextMining":0.9364031090814197,"DalajClassification":0.50473,"SICK-R":0.827477,"NollySentiBitextMining":0.687072,"SCIDOCS":0.25153,"BelebeleRetrieval":0.9073199468085107,"IsiZuluNewsClassification":0.405319,"TwitterHjerneRetrieval":0.98021,"STSB":0.854982,"STSES":0.81749,"KorSarcasmClassification":0.605078,"WinoGrande":0.60518,"SentimentAnalysisHindi":0.760577,"RuBQReranking":0.738384,"CyrillicTurkicLangClassification":0.952979,"FilipinoShopeeReviewsClassification":0.4845215,"STS22.v2":0.7169129444444444,"RomaniBibleClustering":0.432173,"MacedonianTweetSentimentClassification":0.718349,"AfriSentiClassification":0.5356471666666667,"STS12":0.815489,"LegalBenchCorporateLobbying":0.95984,"TweetTopicSingleClassification":0.711105,"MultiEURLEXMultilabelClassification":0.05281217391304348,"T2Reranking":0.679547,"GreekLegalCodeClassification":0.4375735,"SlovakMovieReviewSentimentClassification":0.903467,"FaroeseSTS":0.861155,"SwissJudgementClassification":0.5786343333333334,"TwitterURLCorpus":0.870488,"TRECCOVID":0.86315,"IndicLangClassification":0.876885,"GujaratiNewsClassification":0.920486,"ItaCaseholdClassification":0.733032,"FloresBitextMining":0.8370786488215975,"Robust04InstructionRetrieval":-0.024086,"BulgarianStoreReviewSentimentClassfication":0.781319,"OdiaNewsClassification":0.918368,"TswanaNewsClassification":0.533676,"PlscClusteringP2P.v2":0.743128,"FinancialPhrasebankClassification":0.886352,"News21InstructionRetrieval":0.102558,"StackOverflowQA":0.96713,"Core17InstructionRetrieval":0.076909,"WebLINXCandidatesReranking":0.10965066666666667,"PAC":0.716768,"VoyageMMarcoReranking":0.667285,"MedrxivClusteringP2P.v2":0.471595,"GermanSTSBenchmark":0.8809325,"AlloprofReranking":0.817737,"AlloProfClusteringS2S.v2":0.563589,"ScalaClassification":0.5184815,"indonli":0.606863,"IN22GenBitextMining":0.9374706205533597,"CovidRetrieval":0.79134,"BigPatentClustering.v2":0.380613,"PawsXPairClassification":0.5998711428571429,"NusaXBitextMining":0.8252310909090909,"NusaParagraphEmotionClassification":0.5637578999999999,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.8758675,"DiaBlaBitextMining":0.872278,"IndonesianIdClickbaitClassification":0.67001,"XNLI":0.8525778928571429},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":6,"model":{"name":"Qwen/Qwen3-Embedding-4B","url":"https://huggingface.co/Qwen/Qwen3-Embedding-4B","zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2025-06-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{qwen3embedding,\n title={Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models},\n author={Zhang, Yanzhao and Li, Mingxin and Long, Dingkun and Zhang, Xin and Lin, Huan and Yang, Baosong and Xie, Pengjun and Yang, An and Liu, Dayiheng and Lin, Junyang and Huang, Fei and Zhou, Jingren},\n journal={arXiv preprint arXiv:2506.05176},\n year={2025}\n}","memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":0.6944564599964329,"meanTaskType":0.6086292026150295,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.11559966666666667,"MultilabelClassification":0.2677221739130435,"Classification":0.7232709714877917,"Retrieval":0.6960449432587259,"Reranking":0.6507923368055556,"STS":0.8085726641414142,"Clustering":0.5714956655949737,"PairClassification":0.8505294404761905,"BitextMining":0.7936349611909032},"scoresByTask":{"SemRel24STS":0.63166875,"FinParaSTS":0.3398695,"PolEmo2.0-OUT":0.771053,"JSICK":0.888302,"SwednClusteringP2P":0.6213095,"MalteseNewsClassification":0.421463,"CzechProductReviewSentimentClassification":0.682617,"STS13":0.943863,"IndicCrosslingualSTS":0.6082089166666667,"SprintDuplicateQuestions":0.960944,"WikipediaRerankingMultilingual":0.8888541875,"EstonianValenceClassification":0.595721,"STS15":0.937673,"MLQARetrieval":0.8192095918367347,"HALClusteringS2S.v2":0.305499,"PoemSentimentClassification":0.722468,"BrazilianToxicTweetsClassification":0.206494,"StatcanDialogueDatasetRetrieval":0.42281250000000004,"STS17":0.9178071818181818,"NordicLangClassification":0.908333,"ArXivHierarchicalClusteringP2P":0.648172,"NusaTranslationBitextMining":0.9111591818181818,"MassiveIntentClassification":0.7649383921568627,"CLSClusteringP2P.v2":0.731577,"WikipediaRetrievalMultilingual":0.912278125,"SinhalaNewsClassification":0.755371,"StackExchangeClustering.v2":0.775663,"MasakhaNEWSClassification":0.84326775,"NusaX-senti":0.796625,"CataloniaTweetClassification":0.5262285,"OpusparcusPC":0.9574801666666666,"ArmenianParaphrasePC":0.963151,"KorHateSpeechMLClassification":0.149337,"WikiClusteringP2P.v2":0.31576564285714287,"AmazonCounterfactualClassification":0.9254837499999999,"ArXivHierarchicalClusteringS2S":0.651593,"NepaliNewsClassification":0.972754,"ArguAna":0.7564,"AILAStatutes":0.81194,"ToxicConversationsClassification":0.914355,"IndicGenBenchFloresBitextMining":0.9367417413793103,"CSFDSKMovieReviewSentimentClassification":0.586865,"SiswatiNewsClassification":0.5725,"CEDRClassification":0.510096,"TempReasonL1":0.01226,"BiorxivClusteringP2P.v2":0.509374,"NorwegianCourtsBitextMining":0.931287,"PunjabiNewsClassification":0.819108,"SpartQA":0.2015,"BUCC.v2":0.9888939999999999,"BornholmBitextMining":0.7126,"BibleNLPBitextMining":0.258675768115942,"SIB200ClusteringS2S":0.41260894416243654,"RTE3":0.9079275,"TERRa":0.666255,"SwahiliNewsClassification":0.67168,"DBpediaClassification":0.992578,"HagridRetrieval":0.98766,"MultiHateClassification":0.7745181818181819,"WikiCitiesClustering":0.93575,"Tatoeba":0.7625911696428572,"STS14":0.909367,"KurdishSentimentClassification":0.819024,"PpcPC":0.952606,"STSBenchmark":0.936965,"MasakhaNEWSClusteringS2S":0.5616185625,"MIRACLRetrievalHardNegatives":0.6949377777777778,"NTREXBitextMining":0.8776807990605427,"DalajClassification":0.506644,"SICK-R":0.880603,"NollySentiBitextMining":0.6357762499999999,"SCIDOCS":0.31444,"BelebeleRetrieval":0.8116209840425532,"IsiZuluNewsClassification":0.232181,"TwitterHjerneRetrieval":0.72577,"STSB":0.8610275000000001,"STSES":0.727514,"KorSarcasmClassification":0.611328,"WinoGrande":0.51511,"SentimentAnalysisHindi":0.763686,"RuBQReranking":0.722786,"CyrillicTurkicLangClassification":0.950439,"FilipinoShopeeReviewsClassification":0.47761200000000004,"STS22.v2":0.7295217777777778,"RomaniBibleClustering":0.442845,"MacedonianTweetSentimentClassification":0.754697,"AfriSentiClassification":0.5088950833333333,"STS12":0.866139,"LegalBenchCorporateLobbying":0.95417,"TweetTopicSingleClassification":0.81707,"MultiEURLEXMultilabelClassification":0.05122086956521739,"T2Reranking":0.672706,"GreekLegalCodeClassification":0.5189695,"SlovakMovieReviewSentimentClassification":0.933447,"FaroeseSTS":0.858496,"SwissJudgementClassification":0.6261546666666667,"TwitterURLCorpus":0.871542,"TRECCOVID":0.92924,"IndicLangClassification":0.950513,"GujaratiNewsClassification":0.919803,"ItaCaseholdClassification":0.666516,"FloresBitextMining":0.7411791763739979,"Robust04InstructionRetrieval":0.124404,"BulgarianStoreReviewSentimentClassfication":0.749451,"OdiaNewsClassification":0.937788,"TswanaNewsClassification":0.364271,"PlscClusteringP2P.v2":0.751397,"FinancialPhrasebankClassification":0.938869,"News21InstructionRetrieval":0.087106,"StackOverflowQA":0.94323,"Core17InstructionRetrieval":0.135289,"WebLINXCandidatesReranking":0.11295683333333334,"PAC":0.696583,"VoyageMMarcoReranking":0.656114,"MedrxivClusteringP2P.v2":0.453245,"GermanSTSBenchmark":0.900137,"AlloprofReranking":0.851337,"AlloProfClusteringS2S.v2":0.595093,"ScalaClassification":0.51304925,"indonli":0.65345,"IN22GenBitextMining":0.8203192272727272,"CovidRetrieval":0.87373,"BigPatentClustering.v2":0.43242,"PawsXPairClassification":0.6890820714285715,"NusaXBitextMining":0.8692281818181818,"NusaParagraphEmotionClassification":0.6042677000000001,"LEMBPasskeyRetrieval":0.8425,"CTKFactsNLI":0.861761,"DiaBlaBitextMining":0.871122,"IndonesianIdClickbaitClassification":0.642929,"XNLI":0.8716251071428571},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":7,"model":{"name":"Octen/Octen-Embedding-8B","url":"https://huggingface.co/Octen/Octen-Embedding-8B","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2025-12-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":14433.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.6784164425782021,"meanTaskType":0.6027607317536273,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.08896266666666668,"MultilabelClassification":0.25225545217391304,"Classification":0.6668300211908759,"Retrieval":0.7161284597636336,"Reranking":0.6763658194444444,"STS":0.8127400587121212,"Clustering":0.55683439948842,"PairClassification":0.8512434632034632,"BitextMining":0.8034862451391085},"scoresByTask":{"SemRel24STS":0.643686,"FinParaSTS":0.34560100000000005,"PolEmo2.0-OUT":0.551012,"JSICK":0.896312,"SwednClusteringP2P":0.5778844999999999,"MalteseNewsClassification":0.364562,"CzechProductReviewSentimentClassification":0.578613,"STS13":0.939993,"IndicCrosslingualSTS":0.61882,"SprintDuplicateQuestions":0.956163,"WikipediaRerankingMultilingual":0.90995625,"EstonianValenceClassification":0.43423,"STS15":0.938196,"MLQARetrieval":0.8127270408163265,"HALClusteringS2S.v2":0.308877,"PoemSentimentClassification":0.5492355,"BrazilianToxicTweetsClassification":0.21001,"StatcanDialogueDatasetRetrieval":0.48556999999999995,"STS17":0.9178522727272728,"NordicLangClassification":0.9192,"ArXivHierarchicalClusteringP2P":0.647165,"NusaTranslationBitextMining":0.9133335454545454,"MassiveIntentClassification":0.7889426176470589,"CLSClusteringP2P.v2":0.748929,"WikipediaRetrievalMultilingual":0.922529375,"SinhalaNewsClassification":0.759863,"StackExchangeClustering.v2":0.785487,"MasakhaNEWSClassification":0.8315541875,"NusaX-senti":0.7067708333333332,"CataloniaTweetClassification":0.526496,"OpusparcusPC":0.9616874166666666,"ArmenianParaphrasePC":0.968032,"KorHateSpeechMLClassification":0.116249,"WikiClusteringP2P.v2":0.322285,"AmazonCounterfactualClassification":0.92493175,"ArXivHierarchicalClusteringS2S":0.645489,"NepaliNewsClassification":0.972656,"ArguAna":0.78308,"AILAStatutes":0.93133,"ToxicConversationsClassification":0.914795,"IndicGenBenchFloresBitextMining":0.9413211034482758,"CSFDSKMovieReviewSentimentClassification":0.496631,"SiswatiNewsClassification":0.59125,"CEDRClassification":0.525558,"TempReasonL1":0.01861,"BiorxivClusteringP2P.v2":0.508759,"NorwegianCourtsBitextMining":0.935673,"PunjabiNewsClassification":0.826115,"SpartQA":0.15902,"BUCC.v2":0.98925725,"BornholmBitextMining":0.760267,"BibleNLPBitextMining":0.26328749939613527,"SIB200ClusteringS2S":0.4640589543147208,"RTE3":0.9053027499999999,"TERRa":0.664144,"SwahiliNewsClassification":0.656201,"DBpediaClassification":0.966406,"HagridRetrieval":0.98747,"MultiHateClassification":0.7533272727272727,"WikiCitiesClustering":0.811047,"Tatoeba":0.7888474642857143,"STS14":0.905207,"KurdishSentimentClassification":0.785959,"PpcPC":0.946256,"STSBenchmark":0.936123,"MasakhaNEWSClusteringS2S":0.5669959375,"MIRACLRetrievalHardNegatives":0.6360433333333333,"NTREXBitextMining":0.8889060923799582,"DalajClassification":0.510473,"SICK-R":0.881647,"NollySentiBitextMining":0.63795625,"SCIDOCS":0.3181,"BelebeleRetrieval":0.8898725265957447,"IsiZuluNewsClassification":0.277128,"TwitterHjerneRetrieval":0.81026,"STSB":0.8629739999999999,"STSES":0.748068,"KorSarcasmClassification":0.596826,"WinoGrande":0.57094,"SentimentAnalysisHindi":0.623031,"RuBQReranking":0.76879,"CyrillicTurkicLangClassification":0.636572,"FilipinoShopeeReviewsClassification":0.399048,"STS22.v2":0.7395161666666668,"RomaniBibleClustering":0.423765,"MacedonianTweetSentimentClassification":0.684987,"AfriSentiClassification":0.45985516666666665,"STS12":0.862443,"LegalBenchCorporateLobbying":0.95488,"TweetTopicSingleClassification":0.764324,"MultiEURLEXMultilabelClassification":0.044898260869565214,"T2Reranking":0.67138,"GreekLegalCodeClassification":0.5432865,"SlovakMovieReviewSentimentClassification":0.899365,"FaroeseSTS":0.867066,"SwissJudgementClassification":0.5952143333333333,"TwitterURLCorpus":0.865467,"TRECCOVID":0.9125,"IndicLangClassification":0.307555,"GujaratiNewsClassification":0.907891,"ItaCaseholdClassification":0.71629,"FloresBitextMining":0.7639460707765865,"Robust04InstructionRetrieval":0.092357,"BulgarianStoreReviewSentimentClassfication":0.69011,"OdiaNewsClassification":0.917946,"TswanaNewsClassification":0.397947,"PlscClusteringP2P.v2":0.741634,"FinancialPhrasebankClassification":0.849337,"News21InstructionRetrieval":0.056566,"StackOverflowQA":0.94503,"Core17InstructionRetrieval":0.117965,"WebLINXCandidatesReranking":0.1740786666666667,"PAC":0.639125,"VoyageMMarcoReranking":0.68,"MedrxivClusteringP2P.v2":0.456378,"GermanSTSBenchmark":0.9003365,"AlloprofReranking":0.85399,"AlloProfClusteringS2S.v2":0.586025,"ScalaClassification":0.56453875,"indonli":0.642407,"IN22GenBitextMining":0.8159360019762846,"CovidRetrieval":0.86235,"BigPatentClustering.v2":0.314571,"PawsXPairClassification":0.7280710714285714,"NusaXBitextMining":0.8780089090909091,"NusaParagraphEmotionClassification":0.558353,"LEMBPasskeyRetrieval":0.89,"CTKFactsNLI":0.866684,"DiaBlaBitextMining":0.868581,"IndonesianIdClickbaitClassification":0.600299,"XNLI":0.8594638571428571},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":8,"model":{"name":"codefuse-ai/F2LLM-v2-14B","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-14B","zeroShotPct":88,"activeParamsB":13.214,"totalParamsB":13.99,"embeddingDim":5120,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":53369.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":13.214,"totalParamsB":13.99,"embeddingDim":5120,"maxTokens":40960,"meanTask":0.6873617278219415,"meanTaskType":0.594485759057685,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.006187333333333334,"MultilabelClassification":0.2813618869565217,"Classification":0.7299929750735813,"Retrieval":0.6650490588513774,"Reranking":0.7048642152777779,"STS":0.7696734158775252,"Clustering":0.6091413987462608,"PairClassification":0.8125542597402596,"BitextMining":0.7715472876625268},"scoresByTask":{"SemRel24STS":0.68424125,"FinParaSTS":0.207685,"PolEmo2.0-OUT":0.798178,"JSICK":0.845234,"SwednClusteringP2P":0.5416080000000001,"MalteseNewsClassification":0.413278,"CzechProductReviewSentimentClassification":0.681836,"STS13":0.872257,"IndicCrosslingualSTS":0.6012326666666666,"SprintDuplicateQuestions":0.951997,"WikipediaRerankingMultilingual":0.902998125,"EstonianValenceClassification":0.596455,"STS15":0.897574,"MLQARetrieval":0.7896059183673468,"HALClusteringS2S.v2":0.310469,"PoemSentimentClassification":0.7559795,"BrazilianToxicTweetsClassification":0.249902,"StatcanDialogueDatasetRetrieval":0.38927,"STS17":0.8784991818181819,"NordicLangClassification":0.851933,"ArXivHierarchicalClusteringP2P":0.623108,"NusaTranslationBitextMining":0.806643090909091,"MassiveIntentClassification":0.8672656372549019,"CLSClusteringP2P.v2":0.721875,"WikipediaRetrievalMultilingual":0.917429375,"SinhalaNewsClassification":0.806543,"StackExchangeClustering.v2":0.808444,"MasakhaNEWSClassification":0.839874375,"NusaX-senti":0.7660625,"CataloniaTweetClassification":0.49740675,"OpusparcusPC":0.961135,"ArmenianParaphrasePC":0.96227,"KorHateSpeechMLClassification":0.137653,"WikiClusteringP2P.v2":0.30258728571428567,"AmazonCounterfactualClassification":0.917106875,"ArXivHierarchicalClusteringS2S":0.639114,"NepaliNewsClassification":0.974023,"ArguAna":0.64975,"AILAStatutes":0.48501,"ToxicConversationsClassification":0.909131,"IndicGenBenchFloresBitextMining":0.9355003189655172,"CSFDSKMovieReviewSentimentClassification":0.529932,"SiswatiNewsClassification":0.6875,"CEDRClassification":0.560786,"TempReasonL1":0.02257,"BiorxivClusteringP2P.v2":0.732015,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.835032,"SpartQA":0.15449,"BUCC.v2":0.9904045,"BornholmBitextMining":0.556476,"BibleNLPBitextMining":0.23511252355072465,"SIB200ClusteringS2S":0.7929137817258883,"RTE3":0.88478525,"TERRa":0.610385,"SwahiliNewsClassification":0.695557,"DBpediaClassification":0.910937,"HagridRetrieval":0.98822,"MultiHateClassification":0.749009090909091,"WikiCitiesClustering":0.929703,"Tatoeba":0.827777125,"STS14":0.855616,"KurdishSentimentClassification":0.799044,"PpcPC":0.932079,"STSBenchmark":0.873982,"MasakhaNEWSClusteringS2S":0.5617133125,"MIRACLRetrievalHardNegatives":0.648675,"NTREXBitextMining":0.8930264039665972,"DalajClassification":0.556081,"SICK-R":0.821847,"NollySentiBitextMining":0.5740925,"SCIDOCS":0.28418,"BelebeleRetrieval":0.8467527659574468,"IsiZuluNewsClassification":0.308112,"TwitterHjerneRetrieval":0.87194,"STSB":0.8326395,"STSES":0.772219,"KorSarcasmClassification":0.588623,"WinoGrande":0.76073,"SentimentAnalysisHindi":0.771258,"RuBQReranking":0.78299,"CyrillicTurkicLangClassification":0.926562,"FilipinoShopeeReviewsClassification":0.47370599999999996,"STS22.v2":0.6816030555555556,"RomaniBibleClustering":0.450883,"MacedonianTweetSentimentClassification":0.673222,"AfriSentiClassification":0.49486,"STS12":0.826486,"LegalBenchCorporateLobbying":0.95759,"TweetTopicSingleClassification":0.789073,"MultiEURLEXMultilabelClassification":0.045190434782608695,"T2Reranking":0.67224,"GreekLegalCodeClassification":0.5149170000000001,"SlovakMovieReviewSentimentClassification":0.926074,"FaroeseSTS":0.79941,"SwissJudgementClassification":0.570769,"TwitterURLCorpus":0.867674,"TRECCOVID":0.58916,"IndicLangClassification":0.948932,"GujaratiNewsClassification":0.923672,"ItaCaseholdClassification":0.730317,"FloresBitextMining":0.7587198681300106,"Robust04InstructionRetrieval":-0.01426,"BulgarianStoreReviewSentimentClassfication":0.77967,"OdiaNewsClassification":0.894737,"TswanaNewsClassification":0.38501,"PlscClusteringP2P.v2":0.750589,"FinancialPhrasebankClassification":0.939929,"News21InstructionRetrieval":-0.000228,"StackOverflowQA":0.97488,"Core17InstructionRetrieval":0.03305,"WebLINXCandidatesReranking":0.19992716666666666,"PAC":0.670953,"VoyageMMarcoReranking":0.83664,"MedrxivClusteringP2P.v2":0.586466,"GermanSTSBenchmark":0.864249,"AlloprofReranking":0.83439,"AlloProfClusteringS2S.v2":0.572643,"ScalaClassification":0.8469115,"indonli":0.559287,"IN22GenBitextMining":0.8035384090909091,"CovidRetrieval":0.79063,"BigPatentClustering.v2":0.422131,"PawsXPairClassification":0.6379756428571428,"NusaXBitextMining":0.830792,"NusaParagraphEmotionClassification":0.5512527,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.801865,"DiaBlaBitextMining":0.888207,"IndonesianIdClickbaitClassification":0.656251,"XNLI":0.7686439642857144},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":9,"model":{"name":"codefuse-ai/F2LLM-v2-8B","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-8B","zeroShotPct":88,"activeParamsB":6.947,"totalParamsB":7.568,"embeddingDim":4096,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":28871.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":6.947,"totalParamsB":7.568,"embeddingDim":4096,"maxTokens":40960,"meanTask":0.6808569286689072,"meanTaskType":0.589867865510114,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.008482666666666666,"MultilabelClassification":0.27380703478260865,"Classification":0.7193299235392572,"Retrieval":0.6614607120275218,"Reranking":0.7033517986111111,"STS":0.7647452517361111,"Clustering":0.6062085908635108,"PairClassification":0.8117999339826839,"BitextMining":0.7596248773815554},"scoresByTask":{"SemRel24STS":0.6793500833333334,"FinParaSTS":0.185494,"PolEmo2.0-OUT":0.790081,"JSICK":0.850693,"SwednClusteringP2P":0.5506555,"MalteseNewsClassification":0.411842,"CzechProductReviewSentimentClassification":0.664355,"STS13":0.870365,"IndicCrosslingualSTS":0.580055,"SprintDuplicateQuestions":0.958743,"WikipediaRerankingMultilingual":0.896510625,"EstonianValenceClassification":0.585086,"STS15":0.895518,"MLQARetrieval":0.7810036734693877,"HALClusteringS2S.v2":0.315922,"PoemSentimentClassification":0.671273,"BrazilianToxicTweetsClassification":0.213672,"StatcanDialogueDatasetRetrieval":0.4871475,"STS17":0.874954,"NordicLangClassification":0.8195,"ArXivHierarchicalClusteringP2P":0.634989,"NusaTranslationBitextMining":0.8134520909090909,"MassiveIntentClassification":0.855495068627451,"CLSClusteringP2P.v2":0.721963,"WikipediaRetrievalMultilingual":0.91080125,"SinhalaNewsClassification":0.807373,"StackExchangeClustering.v2":0.803826,"MasakhaNEWSClassification":0.8357819375,"NusaX-senti":0.7635624999999999,"CataloniaTweetClassification":0.49520325,"OpusparcusPC":0.9586034166666667,"ArmenianParaphrasePC":0.963098,"KorHateSpeechMLClassification":0.135248,"WikiClusteringP2P.v2":0.30869871428571427,"AmazonCounterfactualClassification":0.9169315,"ArXivHierarchicalClusteringS2S":0.643986,"NepaliNewsClassification":0.970898,"ArguAna":0.63,"AILAStatutes":0.44979,"ToxicConversationsClassification":0.911816,"IndicGenBenchFloresBitextMining":0.9258305603448276,"CSFDSKMovieReviewSentimentClassification":0.514258,"SiswatiNewsClassification":0.65375,"CEDRClassification":0.565781,"TempReasonL1":0.01722,"BiorxivClusteringP2P.v2":0.694199,"NorwegianCourtsBitextMining":0.932749,"PunjabiNewsClassification":0.848408,"SpartQA":0.15228,"BUCC.v2":0.9905142499999999,"BornholmBitextMining":0.50611,"BibleNLPBitextMining":0.22112534239130432,"SIB200ClusteringS2S":0.7764768020304568,"RTE3":0.8837645000000001,"TERRa":0.615076,"SwahiliNewsClassification":0.693115,"DBpediaClassification":0.917529,"HagridRetrieval":0.98896,"MultiHateClassification":0.7454272727272727,"WikiCitiesClustering":0.938566,"Tatoeba":0.8104379285714286,"STS14":0.850931,"KurdishSentimentClassification":0.78314,"PpcPC":0.921184,"STSBenchmark":0.870324,"MasakhaNEWSClusteringS2S":0.5867374375,"MIRACLRetrievalHardNegatives":0.6493361111111111,"NTREXBitextMining":0.8801699206680584,"DalajClassification":0.53491,"SICK-R":0.820451,"NollySentiBitextMining":0.5418665,"SCIDOCS":0.2797,"BelebeleRetrieval":0.8357542819148935,"IsiZuluNewsClassification":0.296676,"TwitterHjerneRetrieval":0.84405,"STSB":0.8304279999999999,"STSES":0.766815,"KorSarcasmClassification":0.610986,"WinoGrande":0.73255,"SentimentAnalysisHindi":0.767775,"RuBQReranking":0.77614,"CyrillicTurkicLangClassification":0.893555,"FilipinoShopeeReviewsClassification":0.46945800000000004,"STS22.v2":0.6959449444444444,"RomaniBibleClustering":0.43597,"MacedonianTweetSentimentClassification":0.667515,"AfriSentiClassification":0.47730183333333337,"STS12":0.820957,"LegalBenchCorporateLobbying":0.9478,"TweetTopicSingleClassification":0.78293,"MultiEURLEXMultilabelClassification":0.042492173913043475,"T2Reranking":0.67406,"GreekLegalCodeClassification":0.4581785,"SlovakMovieReviewSentimentClassification":0.908594,"FaroeseSTS":0.787032,"SwissJudgementClassification":0.588843,"TwitterURLCorpus":0.866204,"TRECCOVID":0.58647,"IndicLangClassification":0.930827,"GujaratiNewsClassification":0.922307,"ItaCaseholdClassification":0.721719,"FloresBitextMining":0.736840101613059,"Robust04InstructionRetrieval":-0.013484,"BulgarianStoreReviewSentimentClassfication":0.768681,"OdiaNewsClassification":0.892642,"TswanaNewsClassification":0.385626,"PlscClusteringP2P.v2":0.741535,"FinancialPhrasebankClassification":0.937853,"News21InstructionRetrieval":0.00983,"StackOverflowQA":0.97049,"Core17InstructionRetrieval":0.029102,"WebLINXCandidatesReranking":0.22459016666666665,"PAC":0.672024,"VoyageMMarcoReranking":0.82174,"MedrxivClusteringP2P.v2":0.569607,"GermanSTSBenchmark":0.8566119999999999,"AlloprofReranking":0.82707,"AlloProfClusteringS2S.v2":0.57628,"ScalaClassification":0.8081907500000001,"indonli":0.560164,"IN22GenBitextMining":0.8002823478260869,"CovidRetrieval":0.79544,"BigPatentClustering.v2":0.399926,"PawsXPairClassification":0.6337892142857143,"NusaXBitextMining":0.8285553636363635,"NusaParagraphEmotionClassification":0.5339201,"LEMBPasskeyRetrieval":0.8475,"CTKFactsNLI":0.8031005,"DiaBlaBitextMining":0.88719,"IndonesianIdClickbaitClassification":0.657691,"XNLI":0.7660726428571428},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":10,"model":{"name":"microsoft/harrier-oss-v1-0.6b","url":"https://huggingface.co/microsoft/harrier-oss-v1-0.6b","zeroShotPct":78,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-03-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":null,"memoryUsageMb":1137.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AlphaNLI","AmazonCounterfactualClassification","AppsRetrieval","BornholmBitextMining","COIRCodeSearchNetRetrieval","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContestRetrieval","CodeTransOceanDLRetrieval","CosQARetrieval","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","EmotionClassification","FEVER","FiQA2018","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","HellaSwag","HotpotQAHardNegatives","IndicLangClassification","MIRACLRetrieval","MSMARCO","MrTidyRetrieval","NFCorpus","NQ","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","Quail","QuoraRetrieval","STSB","ScalaClassification","SciFact","SemRel24STS","SpartQA","StackOverflowQARetrieval","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","SyntheticText2SQLRetrieval","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"]},"zeroShotPct":78,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":0.6901251361787604,"meanTaskType":0.5899610829481343,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.008062,"MultilabelClassification":0.2636758695652174,"Classification":0.7387618735185301,"Retrieval":0.7075393197714468,"Reranking":0.6315629930555556,"STS":0.7708862173295455,"Clustering":0.5400164976403871,"PairClassification":0.8206734534632034,"BitextMining":0.8284715221893226},"scoresByTask":{"SemRel24STS":0.6776235833333333,"FinParaSTS":0.238404,"PolEmo2.0-OUT":0.704656,"JSICK":0.858272,"SwednClusteringP2P":0.523969,"MalteseNewsClassification":0.381976,"CzechProductReviewSentimentClassification":0.704883,"STS13":0.879525,"IndicCrosslingualSTS":0.5328328333333333,"SprintDuplicateQuestions":0.969434,"WikipediaRerankingMultilingual":0.840655625,"EstonianValenceClassification":0.584963,"STS15":0.901548,"MLQARetrieval":0.729975306122449,"HALClusteringS2S.v2":0.29833,"PoemSentimentClassification":0.8320835,"BrazilianToxicTweetsClassification":0.276953,"StatcanDialogueDatasetRetrieval":0.4701375,"STS17":0.8653647272727273,"NordicLangClassification":0.935667,"ArXivHierarchicalClusteringP2P":0.633023,"NusaTranslationBitextMining":0.8500775454545455,"MassiveIntentClassification":0.6667087647058824,"CLSClusteringP2P.v2":0.599507,"WikipediaRetrievalMultilingual":0.85075625,"SinhalaNewsClassification":0.736426,"StackExchangeClustering.v2":0.774782,"MasakhaNEWSClassification":0.8486668125,"NusaX-senti":0.6651666666666667,"CataloniaTweetClassification":0.70048775,"OpusparcusPC":0.9458826666666668,"ArmenianParaphrasePC":0.945325,"KorHateSpeechMLClassification":0.125724,"WikiClusteringP2P.v2":0.313977,"AmazonCounterfactualClassification":0.925338625,"ArXivHierarchicalClusteringS2S":0.629247,"NepaliNewsClassification":0.958008,"ArguAna":0.64987,"AILAStatutes":0.37692,"ToxicConversationsClassification":0.910205,"IndicGenBenchFloresBitextMining":0.9561899051724139,"CSFDSKMovieReviewSentimentClassification":0.601709,"SiswatiNewsClassification":0.56,"CEDRClassification":0.479702,"TempReasonL1":0.3191,"BiorxivClusteringP2P.v2":0.504051,"NorwegianCourtsBitextMining":0.930556,"PunjabiNewsClassification":0.802548,"SpartQA":0.84689,"BUCC.v2":0.98795225,"BornholmBitextMining":0.6928,"BibleNLPBitextMining":0.4064919365942029,"SIB200ClusteringS2S":0.4621556497461929,"RTE3":0.8898757500000001,"TERRa":0.643316,"SwahiliNewsClassification":0.593799,"DBpediaClassification":0.989404,"HagridRetrieval":0.98836,"MultiHateClassification":0.649190909090909,"WikiCitiesClustering":0.930233,"Tatoeba":0.7951792142857144,"STS14":0.845685,"KurdishSentimentClassification":0.879165,"PpcPC":0.927231,"STSBenchmark":0.893199,"MasakhaNEWSClusteringS2S":0.5176043124999999,"MIRACLRetrievalHardNegatives":0.6635294444444445,"NTREXBitextMining":0.9321788731732776,"DalajClassification":0.503153,"SICK-R":0.838217,"NollySentiBitextMining":0.819632,"SCIDOCS":0.23365,"BelebeleRetrieval":0.774189255319149,"IsiZuluNewsClassification":0.368085,"TwitterHjerneRetrieval":0.6434,"STSB":0.8358835,"STSES":0.790986,"KorSarcasmClassification":0.680566,"WinoGrande":0.83684,"SentimentAnalysisHindi":0.681506,"RuBQReranking":0.73921,"CyrillicTurkicLangClassification":0.9875,"FilipinoShopeeReviewsClassification":0.4326175,"STS22.v2":0.7213448333333333,"RomaniBibleClustering":0.412198,"MacedonianTweetSentimentClassification":0.665584,"AfriSentiClassification":0.453382,"STS12":0.809755,"LegalBenchCorporateLobbying":0.94247,"TweetTopicSingleClassification":0.786119,"MultiEURLEXMultilabelClassification":0.05402434782608695,"T2Reranking":0.6696,"GreekLegalCodeClassification":0.612085,"SlovakMovieReviewSentimentClassification":0.922363,"FaroeseSTS":0.788753,"SwissJudgementClassification":0.7463403333333334,"TwitterURLCorpus":0.867927,"TRECCOVID":0.86952,"IndicLangClassification":0.984466,"GujaratiNewsClassification":0.871472,"ItaCaseholdClassification":0.787783,"FloresBitextMining":0.86347741753598,"Robust04InstructionRetrieval":-0.01271,"BulgarianStoreReviewSentimentClassfication":0.78956,"OdiaNewsClassification":0.954217,"TswanaNewsClassification":0.515606,"PlscClusteringP2P.v2":0.730573,"FinancialPhrasebankClassification":0.951899,"News21InstructionRetrieval":0.008,"StackOverflowQA":0.93694,"Core17InstructionRetrieval":0.028896,"WebLINXCandidatesReranking":0.1267923333333333,"PAC":0.752853,"VoyageMMarcoReranking":0.63408,"MedrxivClusteringP2P.v2":0.43613,"GermanSTSBenchmark":0.856786,"AlloprofReranking":0.77904,"AlloProfClusteringS2S.v2":0.498414,"ScalaClassification":0.7287475,"indonli":0.585202,"IN22GenBitextMining":0.8236755553359684,"CovidRetrieval":0.83566,"BigPatentClustering.v2":0.37607,"PawsXPairClassification":0.5957813571428572,"NusaXBitextMining":0.8537570909090909,"NusaParagraphEmotionClassification":0.6768332,"LEMBPasskeyRetrieval":0.7675,"CTKFactsNLI":0.8238620000000001,"DiaBlaBitextMining":0.858162,"IndonesianIdClickbaitClassification":0.664947,"XNLI":0.8335712142857143},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","BornholmBitextMining","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","IndicLangClassification","MIRACLRetrievalHardNegatives","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","STSB","ScalaClassification","SemRel24STS","SpartQA","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"],"experiments":null},{"rank":11,"model":{"name":"Bytedance/Seed1.6-embedding-1215","url":"https://console.volcengine.com/ark/region:ark+cn-beijing/model/detail?Id=doubao-embedding-vision","zeroShotPct":89,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-12-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["ark"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv2-reranking","Cmnli","CodeSearchNetRetrieval","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","IFlyTek","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PawsXPairClassification","QBQTC","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSB","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","T2Retrieval","TNews","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","Waimai","mMARCO-NL"]},"zeroShotPct":89,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768,"meanTask":0.7025908463665076,"meanTaskType":0.6134094663277961,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.00017033333333333253,"MultilabelClassification":0.46158099999999996,"Classification":0.7674938980920699,"Retrieval":0.660455045344773,"Reranking":0.6623974131944445,"STS":0.7592164709595959,"Clustering":0.5678497389101025,"PairClassification":0.8550354632034632,"BitextMining":0.7868265005790487},"scoresByTask":{"SemRel24STS":0.5823615833333333,"FinParaSTS":0.314212,"PolEmo2.0-OUT":0.774494,"JSICK":0.88298,"SwednClusteringP2P":0.546052,"MalteseNewsClassification":0.693774,"CzechProductReviewSentimentClassification":0.766748,"STS13":0.907732,"IndicCrosslingualSTS":0.32307625,"SprintDuplicateQuestions":0.937493,"WikipediaRerankingMultilingual":0.9085308125,"EstonianValenceClassification":0.586553,"STS15":0.914017,"MLQARetrieval":0.8247273469387755,"HALClusteringS2S.v2":0.290711,"PoemSentimentClassification":0.864194,"BrazilianToxicTweetsClassification":0.223926,"StatcanDialogueDatasetRetrieval":0.3923375,"STS17":0.8160330909090909,"NordicLangClassification":0.917167,"ArXivHierarchicalClusteringP2P":0.650779,"NusaTranslationBitextMining":0.8991632727272727,"MassiveIntentClassification":0.7289910490196079,"CLSClusteringP2P.v2":0.701349,"WikipediaRetrievalMultilingual":0.91809875,"SinhalaNewsClassification":0.722998,"StackExchangeClustering.v2":0.777819,"MasakhaNEWSClassification":0.900903875,"NusaX-senti":0.8482291666666667,"CataloniaTweetClassification":0.77896975,"OpusparcusPC":0.9342029166666667,"ArmenianParaphrasePC":0.925133,"KorHateSpeechMLClassification":0.762494,"WikiClusteringP2P.v2":0.31482935714285715,"AmazonCounterfactualClassification":0.96477125,"ArXivHierarchicalClusteringS2S":0.634703,"NepaliNewsClassification":0.963574,"ArguAna":0.80638,"AILAStatutes":0.26699,"ToxicConversationsClassification":0.950293,"IndicGenBenchFloresBitextMining":0.9166657931034482,"CSFDSKMovieReviewSentimentClassification":0.615186,"SiswatiNewsClassification":0.5825,"CEDRClassification":0.530871,"TempReasonL1":0.02758,"BiorxivClusteringP2P.v2":0.546996,"NorwegianCourtsBitextMining":0.921053,"PunjabiNewsClassification":0.887898,"SpartQA":0.20477,"BUCC.v2":0.989061,"BornholmBitextMining":0.689371,"BibleNLPBitextMining":0.19014438405797102,"SIB200ClusteringS2S":0.3975675279187817,"RTE3":0.91730575,"TERRa":0.659561,"SwahiliNewsClassification":0.551904,"DBpediaClassification":0.989746,"HagridRetrieval":0.98896,"MultiHateClassification":0.6673727272727272,"WikiCitiesClustering":0.889361,"Tatoeba":0.7595810892857143,"STS14":0.901132,"KurdishSentimentClassification":0.940262,"PpcPC":0.93156,"STSBenchmark":0.894044,"MasakhaNEWSClusteringS2S":0.7365069375,"MIRACLRetrievalHardNegatives":0.5923827777777778,"NTREXBitextMining":0.8624202651356994,"DalajClassification":0.496284,"SICK-R":0.853409,"NollySentiBitextMining":0.71593375,"SCIDOCS":0.25827,"BelebeleRetrieval":0.7900444414893617,"IsiZuluNewsClassification":0.267819,"TwitterHjerneRetrieval":0.65162,"STSB":0.840857,"STSES":0.786971,"KorSarcasmClassification":0.550635,"WinoGrande":0.76763,"SentimentAnalysisHindi":0.734655,"RuBQReranking":0.765125,"CyrillicTurkicLangClassification":0.974463,"FilipinoShopeeReviewsClassification":0.5080325,"STS22.v2":0.6899971111111111,"RomaniBibleClustering":0.421197,"MacedonianTweetSentimentClassification":0.674012,"AfriSentiClassification":0.524508,"STS12":0.829333,"LegalBenchCorporateLobbying":0.9569,"TweetTopicSingleClassification":0.856113,"MultiEURLEXMultilabelClassification":0.09684000000000001,"T2Reranking":0.660635,"GreekLegalCodeClassification":0.8052490000000001,"SlovakMovieReviewSentimentClassification":0.953906,"FaroeseSTS":0.746404,"SwissJudgementClassification":0.779127,"TwitterURLCorpus":0.868772,"TRECCOVID":0.61935,"IndicLangClassification":0.993027,"GujaratiNewsClassification":0.934294,"ItaCaseholdClassification":0.853394,"FloresBitextMining":0.7283550737708877,"Robust04InstructionRetrieval":-0.021056,"BulgarianStoreReviewSentimentClassfication":0.730769,"OdiaNewsClassification":0.971494,"TswanaNewsClassification":0.641684,"PlscClusteringP2P.v2":0.74346,"FinancialPhrasebankClassification":0.901369,"News21InstructionRetrieval":0.004163,"StackOverflowQA":0.972,"Core17InstructionRetrieval":0.016382,"WebLINXCandidatesReranking":0.17919366666666667,"PAC":0.88106,"VoyageMMarcoReranking":0.661251,"MedrxivClusteringP2P.v2":0.487783,"GermanSTSBenchmark":0.8649045,"AlloprofReranking":0.799649,"AlloProfClusteringS2S.v2":0.544464,"ScalaClassification":0.519458,"indonli":0.672246,"IN22GenBitextMining":0.7779315158102768,"CovidRetrieval":0.85765,"BigPatentClustering.v2":0.402018,"PawsXPairClassification":0.7557281428571428,"NusaXBitextMining":0.9055963636363636,"NusaParagraphEmotionClassification":0.8374283,"LEMBPasskeyRetrieval":0.9924999999999999,"CTKFactsNLI":0.874297,"DiaBlaBitextMining":0.873468,"IndonesianIdClickbaitClassification":0.610702,"XNLI":0.9290912857142857},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","PawsXPairClassification","STS12","STS22.v2","STSB","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":12,"model":{"name":"codefuse-ai/F2LLM-v2-4B","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-4B","zeroShotPct":88,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":15344.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":40960,"meanTask":0.6706344049973809,"meanTaskType":0.5824647136126977,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.022494333333333335,"MultilabelClassification":0.2658182956521739,"Classification":0.7072659510285827,"Retrieval":0.6483662065767007,"Reranking":0.6938075416666667,"STS":0.7591437910353536,"Clustering":0.5952918458065175,"PairClassification":0.8051192110389611,"BitextMining":0.7448752463759895},"scoresByTask":{"SemRel24STS":0.6711099166666666,"FinParaSTS":0.1746305,"PolEmo2.0-OUT":0.771053,"JSICK":0.849491,"SwednClusteringP2P":0.5252745,"MalteseNewsClassification":0.400131,"CzechProductReviewSentimentClassification":0.662354,"STS13":0.867143,"IndicCrosslingualSTS":0.5358384166666667,"SprintDuplicateQuestions":0.942027,"WikipediaRerankingMultilingual":0.89397875,"EstonianValenceClassification":0.569927,"STS15":0.89609,"MLQARetrieval":0.772,"HALClusteringS2S.v2":0.30281,"PoemSentimentClassification":0.709565,"BrazilianToxicTweetsClassification":0.222803,"StatcanDialogueDatasetRetrieval":0.48644,"STS17":0.8661935454545454,"NordicLangClassification":0.746867,"ArXivHierarchicalClusteringP2P":0.634415,"NusaTranslationBitextMining":0.798752,"MassiveIntentClassification":0.8502990196078432,"CLSClusteringP2P.v2":0.73003,"WikipediaRetrievalMultilingual":0.907996875,"SinhalaNewsClassification":0.781055,"StackExchangeClustering.v2":0.78668,"MasakhaNEWSClassification":0.8116448125,"NusaX-senti":0.7394166666666666,"CataloniaTweetClassification":0.48355475000000003,"OpusparcusPC":0.9541210000000001,"ArmenianParaphrasePC":0.957231,"KorHateSpeechMLClassification":0.098822,"WikiClusteringP2P.v2":0.3098368571428572,"AmazonCounterfactualClassification":0.921511,"ArXivHierarchicalClusteringS2S":0.619551,"NepaliNewsClassification":0.962207,"ArguAna":0.62393,"AILAStatutes":0.40461,"ToxicConversationsClassification":0.906689,"IndicGenBenchFloresBitextMining":0.9095023362068965,"CSFDSKMovieReviewSentimentClassification":0.497559,"SiswatiNewsClassification":0.7075,"CEDRClassification":0.561052,"TempReasonL1":0.0146,"BiorxivClusteringP2P.v2":0.717721,"NorwegianCourtsBitextMining":0.943713,"PunjabiNewsClassification":0.840764,"SpartQA":0.1276,"BUCC.v2":0.98992475,"BornholmBitextMining":0.500376,"BibleNLPBitextMining":0.21038889371980674,"SIB200ClusteringS2S":0.7612180507614213,"RTE3":0.8796775,"TERRa":0.610987,"SwahiliNewsClassification":0.706641,"DBpediaClassification":0.900684,"HagridRetrieval":0.98822,"MultiHateClassification":0.7194545454545455,"WikiCitiesClustering":0.937327,"Tatoeba":0.7772081607142857,"STS14":0.847994,"KurdishSentimentClassification":0.742526,"PpcPC":0.904574,"STSBenchmark":0.873113,"MasakhaNEWSClusteringS2S":0.515429125,"MIRACLRetrievalHardNegatives":0.6380494444444444,"NTREXBitextMining":0.8627280970772443,"DalajClassification":0.529505,"SICK-R":0.811879,"NollySentiBitextMining":0.50479025,"SCIDOCS":0.26771,"BelebeleRetrieval":0.8108053989361701,"IsiZuluNewsClassification":0.293484,"TwitterHjerneRetrieval":0.8171,"STSB":0.828084,"STSES":0.777008,"KorSarcasmClassification":0.580957,"WinoGrande":0.68819,"SentimentAnalysisHindi":0.770222,"RuBQReranking":0.76431,"CyrillicTurkicLangClassification":0.861719,"FilipinoShopeeReviewsClassification":0.4512695,"STS22.v2":0.7053372777777778,"RomaniBibleClustering":0.422792,"MacedonianTweetSentimentClassification":0.657594,"AfriSentiClassification":0.45498616666666664,"STS12":0.824698,"LegalBenchCorporateLobbying":0.94481,"TweetTopicSingleClassification":0.773479,"MultiEURLEXMultilabelClassification":0.04628347826086956,"T2Reranking":0.67272,"GreekLegalCodeClassification":0.4737305,"SlovakMovieReviewSentimentClassification":0.905225,"FaroeseSTS":0.76719,"SwissJudgementClassification":0.5953743333333333,"TwitterURLCorpus":0.864781,"TRECCOVID":0.57698,"IndicLangClassification":0.910481,"GujaratiNewsClassification":0.901517,"ItaCaseholdClassification":0.715385,"FloresBitextMining":0.7040859602289191,"Robust04InstructionRetrieval":-0.00075,"BulgarianStoreReviewSentimentClassfication":0.783516,"OdiaNewsClassification":0.862149,"TswanaNewsClassification":0.335318,"PlscClusteringP2P.v2":0.745551,"FinancialPhrasebankClassification":0.929549,"News21InstructionRetrieval":0.033071,"StackOverflowQA":0.96748,"Core17InstructionRetrieval":0.035162,"WebLINXCandidatesReranking":0.19194650000000002,"PAC":0.669968,"VoyageMMarcoReranking":0.81735,"MedrxivClusteringP2P.v2":0.566631,"GermanSTSBenchmark":0.850501,"AlloprofReranking":0.82254,"AlloProfClusteringS2S.v2":0.552871,"ScalaClassification":0.7856445,"indonli":0.555603,"IN22GenBitextMining":0.7879611185770751,"CovidRetrieval":0.78907,"BigPatentClustering.v2":0.396532,"PawsXPairClassification":0.6362635714285715,"NusaXBitextMining":0.8098796363636364,"NusaParagraphEmotionClassification":0.5009840999999999,"LEMBPasskeyRetrieval":0.845,"CTKFactsNLI":0.7901455,"DiaBlaBitextMining":0.884068,"IndonesianIdClickbaitClassification":0.639107,"XNLI":0.76090075},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":13,"model":{"name":"ai-sage/Giga-Embeddings-instruct-10B-A1.8B-0826","url":"https://huggingface.co/ai-sage/Giga-Embeddings-instruct-10B-A1.8B-0826","zeroShotPct":-1,"activeParamsB":1.8,"totalParamsB":10.476,"embeddingDim":1536,"maxTokens":8192.0,"releaseDate":"2026-08-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Russian"],"citation":null,"memoryUsageMb":19980.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"https://huggingface.co/ai-sage/GigaChat3-10B-A1.8B-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":1.8,"totalParamsB":10.476,"embeddingDim":1536,"maxTokens":8192,"meanTask":0.6563722604096605,"meanTaskType":0.5766772050272636,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.008983666666666668,"MultilabelClassification":0.34022824347826086,"Classification":0.686322462672035,"Retrieval":0.6407919116855765,"Reranking":0.6778992638888889,"STS":0.7468451412563131,"Clustering":0.5609909299226115,"PairClassification":0.8233255324675324,"BitextMining":0.7047076932074879},"scoresByTask":{"SemRel24STS":0.6635158333333333,"FinParaSTS":0.21939199999999998,"PolEmo2.0-OUT":0.75081,"JSICK":0.817438,"SwednClusteringP2P":0.5576865,"MalteseNewsClassification":0.357423,"CzechProductReviewSentimentClassification":0.632373,"STS13":0.884394,"IndicCrosslingualSTS":0.32453808333333334,"SprintDuplicateQuestions":0.959471,"WikipediaRerankingMultilingual":0.9209437500000001,"EstonianValenceClassification":0.577262,"STS15":0.892201,"MLQARetrieval":0.7519065306122449,"HALClusteringS2S.v2":0.313573,"PoemSentimentClassification":0.8919140000000001,"BrazilianToxicTweetsClassification":0.339795,"StatcanDialogueDatasetRetrieval":0.438045,"STS17":0.8730994545454546,"NordicLangClassification":0.6892,"ArXivHierarchicalClusteringP2P":0.673502,"NusaTranslationBitextMining":0.7870837272727272,"MassiveIntentClassification":0.7229407058823529,"CLSClusteringP2P.v2":0.474329,"WikipediaRetrievalMultilingual":0.929658125,"SinhalaNewsClassification":0.641553,"StackExchangeClustering.v2":0.721469,"MasakhaNEWSClassification":0.8158886875,"NusaX-senti":0.7137083333333334,"CataloniaTweetClassification":0.44192375,"OpusparcusPC":0.9557064999999999,"ArmenianParaphrasePC":0.96942,"KorHateSpeechMLClassification":0.2135,"WikiClusteringP2P.v2":0.3176929285714286,"AmazonCounterfactualClassification":0.9052215,"ArXivHierarchicalClusteringS2S":0.662569,"NepaliNewsClassification":0.960498,"ArguAna":0.54237,"AILAStatutes":0.42514,"ToxicConversationsClassification":0.906104,"IndicGenBenchFloresBitextMining":0.8372372327586206,"CSFDSKMovieReviewSentimentClassification":0.491943,"SiswatiNewsClassification":0.5625,"CEDRClassification":0.738098,"TempReasonL1":0.02794,"BiorxivClusteringP2P.v2":0.561402,"NorwegianCourtsBitextMining":0.924708,"PunjabiNewsClassification":0.810828,"SpartQA":0.15151,"BUCC.v2":0.9901340000000001,"BornholmBitextMining":0.579467,"BibleNLPBitextMining":0.15391270471014493,"SIB200ClusteringS2S":0.5785695126903554,"RTE3":0.907755,"TERRa":0.716034,"SwahiliNewsClassification":0.597314,"DBpediaClassification":0.988574,"HagridRetrieval":0.9887,"MultiHateClassification":0.8263818181818181,"WikiCitiesClustering":0.902516,"Tatoeba":0.7233251428571429,"STS14":0.839495,"KurdishSentimentClassification":0.744741,"PpcPC":0.909081,"STSBenchmark":0.883078,"MasakhaNEWSClusteringS2S":0.5568039375,"MIRACLRetrievalHardNegatives":0.6739511111111111,"NTREXBitextMining":0.7925378199373695,"DalajClassification":0.500113,"SICK-R":0.839327,"NollySentiBitextMining":0.46009125,"SCIDOCS":0.22241,"BelebeleRetrieval":0.7460936436170212,"IsiZuluNewsClassification":0.298271,"TwitterHjerneRetrieval":0.78242,"STSB":0.838695,"STSES":0.768542,"KorSarcasmClassification":0.585449,"WinoGrande":0.55809,"SentimentAnalysisHindi":0.740418,"RuBQReranking":0.80881,"CyrillicTurkicLangClassification":0.910596,"FilipinoShopeeReviewsClassification":0.45510249999999997,"STS22.v2":0.7167373888888888,"RomaniBibleClustering":0.425185,"MacedonianTweetSentimentClassification":0.670852,"AfriSentiClassification":0.44998183333333336,"STS12":0.752841,"LegalBenchCorporateLobbying":0.94131,"TweetTopicSingleClassification":0.874483,"MultiEURLEXMultilabelClassification":0.05232521739130435,"T2Reranking":0.66983,"GreekLegalCodeClassification":0.353271,"SlovakMovieReviewSentimentClassification":0.90332,"FaroeseSTS":0.768241,"SwissJudgementClassification":0.5886406666666667,"TwitterURLCorpus":0.871407,"TRECCOVID":0.86953,"IndicLangClassification":0.827046,"GujaratiNewsClassification":0.792868,"ItaCaseholdClassification":0.719457,"FloresBitextMining":0.6244965827779387,"Robust04InstructionRetrieval":-0.026281,"BulgarianStoreReviewSentimentClassfication":0.777473,"OdiaNewsClassification":0.694874,"TswanaNewsClassification":0.384394,"PlscClusteringP2P.v2":0.754521,"FinancialPhrasebankClassification":0.999028,"News21InstructionRetrieval":0.014961,"StackOverflowQA":0.95991,"Core17InstructionRetrieval":0.038271,"WebLINXCandidatesReranking":0.14529183333333331,"PAC":0.7245,"VoyageMMarcoReranking":0.71196,"MedrxivClusteringP2P.v2":0.51884,"GermanSTSBenchmark":0.8679874999999999,"AlloprofReranking":0.81056,"AlloProfClusteringS2S.v2":0.557776,"ScalaClassification":0.5096925,"indonli":0.557151,"IN22GenBitextMining":0.7024545513833992,"CovidRetrieval":0.78777,"BigPatentClustering.v2":0.39942,"PawsXPairClassification":0.6068328571428572,"NusaXBitextMining":0.7053590000000001,"NusaParagraphEmotionClassification":0.4494516,"LEMBPasskeyRetrieval":0.7375,"CTKFactsNLI":0.8275794999999999,"DiaBlaBitextMining":0.880393,"IndonesianIdClickbaitClassification":0.630905,"XNLI":0.776143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":14,"model":{"name":"jinaai/jina-embeddings-v5-omni-small","url":"https://huggingface.co/jinaai/jina-embeddings-v5-omni-small","zeroShotPct":-1,"activeParamsB":1.471,"totalParamsB":1.626,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-04-01","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{akram2026jinaembeddingsv5texttasktargetedembeddingdistillation,\n title={jina-embeddings-v5-text: Task-Targeted Embedding Distillation},\n author={Mohammad Kalim Akram and Saba Sturua and Nastia Havriushenko and Quentin Herreros and Michael Günther and Maximilian Werk and Han Xiao},\n year={2026},\n eprint={2602.15547},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2602.15547},\n}","memoryUsageMb":3102.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"jinaai/jina-embeddings-v5-text-small","supersededBy":null,"extraRequirementsGroups":["peft"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":1.471,"totalParamsB":1.626,"embeddingDim":1024,"maxTokens":32768,"meanTask":0.6699977102085275,"meanTaskType":0.5889679796692374,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.013450666666666666,"MultilabelClassification":0.4197303565217392,"Classification":0.7131957477780542,"Retrieval":0.6487566807736687,"Reranking":0.6565762986111111,"STS":0.7884922504734848,"Clustering":0.5340960235678027,"PairClassification":0.829295317099567,"BitextMining":0.6971184755310418},"scoresByTask":{"SemRel24STS":0.6093163333333333,"FinParaSTS":0.3305565,"PolEmo2.0-OUT":0.738664,"JSICK":0.81305,"SwednClusteringP2P":0.5759890000000001,"MalteseNewsClassification":0.569613,"CzechProductReviewSentimentClassification":0.636279,"STS13":0.886952,"IndicCrosslingualSTS":0.47799691666666666,"SprintDuplicateQuestions":0.965576,"WikipediaRerankingMultilingual":0.894645625,"EstonianValenceClassification":0.560513,"STS15":0.925753,"MLQARetrieval":0.7758764285714285,"HALClusteringS2S.v2":0.316887,"PoemSentimentClassification":0.819231,"BrazilianToxicTweetsClassification":0.212646,"StatcanDialogueDatasetRetrieval":0.462555,"STS17":0.8718240909090909,"NordicLangClassification":0.8812,"ArXivHierarchicalClusteringP2P":0.657904,"NusaTranslationBitextMining":0.7010277272727273,"MassiveIntentClassification":0.8532451862745097,"CLSClusteringP2P.v2":0.507139,"WikipediaRetrievalMultilingual":0.905845625,"SinhalaNewsClassification":0.525195,"StackExchangeClustering.v2":0.701319,"MasakhaNEWSClassification":0.868680625,"NusaX-senti":0.7973125,"CataloniaTweetClassification":0.6594015,"OpusparcusPC":0.9411844166666666,"ArmenianParaphrasePC":0.944631,"KorHateSpeechMLClassification":0.600785,"WikiClusteringP2P.v2":0.3080832857142857,"AmazonCounterfactualClassification":0.942928625,"ArXivHierarchicalClusteringS2S":0.62706,"NepaliNewsClassification":0.995264,"ArguAna":0.65071,"AILAStatutes":0.533,"ToxicConversationsClassification":0.93667,"IndicGenBenchFloresBitextMining":0.8846508103448276,"CSFDSKMovieReviewSentimentClassification":0.466504,"SiswatiNewsClassification":0.46625,"CEDRClassification":0.650053,"TempReasonL1":0.00928,"BiorxivClusteringP2P.v2":0.476539,"NorwegianCourtsBitextMining":0.940789,"PunjabiNewsClassification":0.885987,"SpartQA":0.11454,"BUCC.v2":0.98669925,"BornholmBitextMining":0.779778,"BibleNLPBitextMining":0.13564997463768116,"SIB200ClusteringS2S":0.40519209137055834,"RTE3":0.89703925,"TERRa":0.673056,"SwahiliNewsClassification":0.546094,"DBpediaClassification":0.982715,"HagridRetrieval":0.98769,"MultiHateClassification":0.5834818181818182,"WikiCitiesClustering":0.897629,"Tatoeba":0.6113075982142858,"STS14":0.884952,"KurdishSentimentClassification":0.934071,"PpcPC":0.933517,"STSBenchmark":0.9483,"MasakhaNEWSClusteringS2S":0.532397,"MIRACLRetrievalHardNegatives":0.6658633333333334,"NTREXBitextMining":0.7654576863256786,"DalajClassification":0.498761,"SICK-R":0.916214,"NollySentiBitextMining":0.38815775,"SCIDOCS":0.2304,"BelebeleRetrieval":0.7751298670212765,"IsiZuluNewsClassification":0.199069,"TwitterHjerneRetrieval":0.71545,"STSB":0.899151,"STSES":0.812281,"KorSarcasmClassification":0.552344,"WinoGrande":0.58647,"SentimentAnalysisHindi":0.442894,"RuBQReranking":0.74894,"CyrillicTurkicLangClassification":0.976025,"FilipinoShopeeReviewsClassification":0.4191895,"STS22.v2":0.7096956666666666,"RomaniBibleClustering":0.403867,"MacedonianTweetSentimentClassification":0.676734,"AfriSentiClassification":0.3665820833333333,"STS12":0.851146,"LegalBenchCorporateLobbying":0.93997,"TweetTopicSingleClassification":0.863142,"MultiEURLEXMultilabelClassification":0.06555478260869566,"T2Reranking":0.68041,"GreekLegalCodeClassification":0.6495605,"SlovakMovieReviewSentimentClassification":0.876855,"FaroeseSTS":0.769009,"SwissJudgementClassification":0.6611556666666667,"TwitterURLCorpus":0.859878,"TRECCOVID":0.78486,"IndicLangClassification":0.979565,"GujaratiNewsClassification":0.929666,"ItaCaseholdClassification":0.909502,"FloresBitextMining":0.5798888989423355,"Robust04InstructionRetrieval":-0.016077,"BulgarianStoreReviewSentimentClassfication":0.748352,"OdiaNewsClassification":0.958481,"TswanaNewsClassification":0.537782,"PlscClusteringP2P.v2":0.744249,"FinancialPhrasebankClassification":0.634099,"News21InstructionRetrieval":0.032392,"StackOverflowQA":0.93394,"Core17InstructionRetrieval":0.024037,"WebLINXCandidatesReranking":0.11325216666666667,"PAC":0.869939,"VoyageMMarcoReranking":0.68835,"MedrxivClusteringP2P.v2":0.435063,"GermanSTSBenchmark":0.9096785000000001,"AlloprofReranking":0.81386,"AlloProfClusteringS2S.v2":0.530348,"ScalaClassification":0.50225825,"indonli":0.599727,"IN22GenBitextMining":0.7486187588932806,"CovidRetrieval":0.80104,"BigPatentClustering.v2":0.425871,"PawsXPairClassification":0.6565276428571429,"NusaXBitextMining":0.6922377272727273,"NusaParagraphEmotionClassification":0.7583689,"LEMBPasskeyRetrieval":0.805,"CTKFactsNLI":0.8268715,"DiaBlaBitextMining":0.848277,"IndonesianIdClickbaitClassification":0.577405,"XNLI":0.8242406785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":15,"model":{"name":"jinaai/jina-embeddings-v5-text-small","url":"https://huggingface.co/jinaai/jina-embeddings-v5-text-small","zeroShotPct":-1,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-02-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{akram2026jinaembeddingsv5texttasktargetedembeddingdistillation,\n title={jina-embeddings-v5-text: Task-Targeted Embedding Distillation},\n author={Mohammad Kalim Akram and Saba Sturua and Nastia Havriushenko and Quentin Herreros and Michael Günther and Maximilian Werk and Han Xiao},\n year={2026},\n eprint={2602.15547},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2602.15547},\n}","memoryUsageMb":1137.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":["peft"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.013450666666666666,"MultilabelClassification":0.4197303565217392,"Retrieval":0.6487566807736687,"Reranking":0.6565762986111111,"STS":0.7884922504734848,"Clustering":0.5340960235678027,"BitextMining":0.6971184755310418},"scoresByTask":{"SemRel24STS":0.6093163333333333,"FinParaSTS":0.3305565,"PolEmo2.0-OUT":0.738664,"JSICK":0.81305,"SwednClusteringP2P":0.5759890000000001,"MalteseNewsClassification":0.569613,"CzechProductReviewSentimentClassification":0.636279,"STS13":0.886952,"IndicCrosslingualSTS":0.47799691666666666,"SprintDuplicateQuestions":0.965576,"WikipediaRerankingMultilingual":0.894645625,"EstonianValenceClassification":0.560513,"STS15":0.925753,"MLQARetrieval":0.7758764285714285,"HALClusteringS2S.v2":0.316887,"PoemSentimentClassification":0.819231,"BrazilianToxicTweetsClassification":0.212646,"StatcanDialogueDatasetRetrieval":0.462555,"STS17":0.8718240909090909,"NordicLangClassification":0.8812,"ArXivHierarchicalClusteringP2P":0.657904,"NusaTranslationBitextMining":0.7010277272727273,"CLSClusteringP2P.v2":0.507139,"WikipediaRetrievalMultilingual":0.905845625,"SinhalaNewsClassification":0.525195,"StackExchangeClustering.v2":0.701319,"MasakhaNEWSClassification":0.868680625,"NusaX-senti":0.7973125,"CataloniaTweetClassification":0.6594015,"OpusparcusPC":0.9411844166666666,"ArmenianParaphrasePC":0.944631,"KorHateSpeechMLClassification":0.600785,"WikiClusteringP2P.v2":0.3080832857142857,"ArXivHierarchicalClusteringS2S":0.62706,"NepaliNewsClassification":0.995264,"ArguAna":0.65071,"AILAStatutes":0.533,"ToxicConversationsClassification":0.93667,"IndicGenBenchFloresBitextMining":0.8846508103448276,"CSFDSKMovieReviewSentimentClassification":0.466504,"SiswatiNewsClassification":0.46625,"CEDRClassification":0.650053,"TempReasonL1":0.00928,"BiorxivClusteringP2P.v2":0.476539,"NorwegianCourtsBitextMining":0.940789,"PunjabiNewsClassification":0.885987,"SpartQA":0.11454,"BUCC.v2":0.98669925,"BornholmBitextMining":0.779778,"BibleNLPBitextMining":0.13564997463768116,"SIB200ClusteringS2S":0.40519209137055834,"RTE3":0.89703925,"TERRa":0.673056,"SwahiliNewsClassification":0.546094,"DBpediaClassification":0.982715,"HagridRetrieval":0.98769,"MultiHateClassification":0.5834818181818182,"WikiCitiesClustering":0.897629,"Tatoeba":0.6113075982142858,"STS14":0.884952,"KurdishSentimentClassification":0.934071,"PpcPC":0.933517,"STSBenchmark":0.9483,"MasakhaNEWSClusteringS2S":0.532397,"MIRACLRetrievalHardNegatives":0.6658633333333334,"NTREXBitextMining":0.7654576863256786,"DalajClassification":0.498761,"SICK-R":0.916214,"NollySentiBitextMining":0.38815775,"SCIDOCS":0.2304,"BelebeleRetrieval":0.7751298670212765,"IsiZuluNewsClassification":0.199069,"TwitterHjerneRetrieval":0.71545,"STSB":0.899151,"STSES":0.812281,"KorSarcasmClassification":0.552344,"WinoGrande":0.58647,"SentimentAnalysisHindi":0.442894,"RuBQReranking":0.74894,"CyrillicTurkicLangClassification":0.976025,"FilipinoShopeeReviewsClassification":0.4191895,"STS22.v2":0.7096956666666666,"RomaniBibleClustering":0.403867,"MacedonianTweetSentimentClassification":0.676734,"AfriSentiClassification":0.3665820833333333,"STS12":0.851146,"LegalBenchCorporateLobbying":0.93997,"TweetTopicSingleClassification":0.863142,"MultiEURLEXMultilabelClassification":0.06555478260869566,"T2Reranking":0.68041,"GreekLegalCodeClassification":0.6495605,"SlovakMovieReviewSentimentClassification":0.876855,"FaroeseSTS":0.769009,"SwissJudgementClassification":0.6611556666666667,"TwitterURLCorpus":0.859878,"TRECCOVID":0.78486,"IndicLangClassification":0.979565,"GujaratiNewsClassification":0.929666,"ItaCaseholdClassification":0.909502,"FloresBitextMining":0.5798888989423355,"Robust04InstructionRetrieval":-0.016077,"BulgarianStoreReviewSentimentClassfication":0.748352,"OdiaNewsClassification":0.958481,"TswanaNewsClassification":0.537782,"PlscClusteringP2P.v2":0.744249,"FinancialPhrasebankClassification":0.634099,"News21InstructionRetrieval":0.032392,"StackOverflowQA":0.93394,"Core17InstructionRetrieval":0.024037,"WebLINXCandidatesReranking":0.11325216666666667,"PAC":0.869939,"VoyageMMarcoReranking":0.68835,"MedrxivClusteringP2P.v2":0.435063,"GermanSTSBenchmark":0.9096785000000001,"AlloprofReranking":0.81386,"AlloProfClusteringS2S.v2":0.530348,"ScalaClassification":0.50225825,"indonli":0.599727,"IN22GenBitextMining":0.7486187588932806,"CovidRetrieval":0.80104,"BigPatentClustering.v2":0.425871,"NusaXBitextMining":0.6922377272727273,"NusaParagraphEmotionClassification":0.7583689,"LEMBPasskeyRetrieval":0.805,"CTKFactsNLI":0.8268715,"DiaBlaBitextMining":0.848277,"IndonesianIdClickbaitClassification":0.577405,"XNLI":0.8242406785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":16,"model":{"name":"codefuse-ai/F2LLM-v2-1.7B","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-1.7B","zeroShotPct":88,"activeParamsB":1.41,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":6563.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":1.41,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":40960,"meanTask":0.6521461038204966,"meanTaskType":0.5677848884258685,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.005585666666666667,"MultilabelClassification":0.26041599130434784,"Classification":0.6768176956032625,"Retrieval":0.6196778018724235,"Reranking":0.6717333124999999,"STS":0.7576904114583334,"Clustering":0.587681699329224,"PairClassification":0.7987053852813853,"BitextMining":0.7317560318171734},"scoresByTask":{"SemRel24STS":0.6600354166666667,"FinParaSTS":0.202054,"PolEmo2.0-OUT":0.733806,"JSICK":0.846608,"SwednClusteringP2P":0.5211435,"MalteseNewsClassification":0.365477,"CzechProductReviewSentimentClassification":0.64834,"STS13":0.870407,"IndicCrosslingualSTS":0.5174513333333334,"SprintDuplicateQuestions":0.947433,"WikipediaRerankingMultilingual":0.890836875,"EstonianValenceClassification":0.511614,"STS15":0.896714,"MLQARetrieval":0.7550925510204082,"HALClusteringS2S.v2":0.300763,"PoemSentimentClassification":0.6760575,"BrazilianToxicTweetsClassification":0.220459,"StatcanDialogueDatasetRetrieval":0.3801575,"STS17":0.86008,"NordicLangClassification":0.725967,"ArXivHierarchicalClusteringP2P":0.645105,"NusaTranslationBitextMining":0.7810421818181819,"MassiveIntentClassification":0.8463906764705883,"CLSClusteringP2P.v2":0.739602,"WikipediaRetrievalMultilingual":0.900908125,"SinhalaNewsClassification":0.735547,"StackExchangeClustering.v2":0.776777,"MasakhaNEWSClassification":0.8027701875,"NusaX-senti":0.7025625,"CataloniaTweetClassification":0.49110224999999996,"OpusparcusPC":0.9494361666666666,"ArmenianParaphrasePC":0.953742,"KorHateSpeechMLClassification":0.113206,"WikiClusteringP2P.v2":0.2959612857142857,"AmazonCounterfactualClassification":0.915395,"ArXivHierarchicalClusteringS2S":0.626066,"NepaliNewsClassification":0.955957,"ArguAna":0.60235,"AILAStatutes":0.3336,"ToxicConversationsClassification":0.91123,"IndicGenBenchFloresBitextMining":0.9069970431034483,"CSFDSKMovieReviewSentimentClassification":0.467236,"SiswatiNewsClassification":0.66125,"CEDRClassification":0.556111,"TempReasonL1":0.01156,"BiorxivClusteringP2P.v2":0.672823,"NorwegianCourtsBitextMining":0.942251,"PunjabiNewsClassification":0.802548,"SpartQA":0.16559,"BUCC.v2":0.98968175,"BornholmBitextMining":0.501905,"BibleNLPBitextMining":0.1911795845410628,"SIB200ClusteringS2S":0.7713519035532994,"RTE3":0.877448,"TERRa":0.593417,"SwahiliNewsClassification":0.668066,"DBpediaClassification":0.870996,"HagridRetrieval":0.9887,"MultiHateClassification":0.6760363636363637,"WikiCitiesClustering":0.932162,"Tatoeba":0.7365830000000001,"STS14":0.852138,"KurdishSentimentClassification":0.739758,"PpcPC":0.899771,"STSBenchmark":0.878159,"MasakhaNEWSClusteringS2S":0.5181285,"MIRACLRetrievalHardNegatives":0.6277405555555555,"NTREXBitextMining":0.849305127348643,"DalajClassification":0.507995,"SICK-R":0.805845,"NollySentiBitextMining":0.47588025,"SCIDOCS":0.23908,"BelebeleRetrieval":0.7806917021276596,"IsiZuluNewsClassification":0.275399,"TwitterHjerneRetrieval":0.79298,"STSB":0.832569,"STSES":0.783883,"KorSarcasmClassification":0.570068,"WinoGrande":0.5107,"SentimentAnalysisHindi":0.710106,"RuBQReranking":0.75327,"CyrillicTurkicLangClassification":0.676074,"FilipinoShopeeReviewsClassification":0.419043,"STS22.v2":0.7004288333333333,"RomaniBibleClustering":0.427034,"MacedonianTweetSentimentClassification":0.612028,"AfriSentiClassification":0.45143233333333327,"STS12":0.824858,"LegalBenchCorporateLobbying":0.94662,"TweetTopicSingleClassification":0.788777,"MultiEURLEXMultilabelClassification":0.046826956521739134,"T2Reranking":0.66959,"GreekLegalCodeClassification":0.4046635,"SlovakMovieReviewSentimentClassification":0.887891,"FaroeseSTS":0.739411,"SwissJudgementClassification":0.584645,"TwitterURLCorpus":0.869942,"TRECCOVID":0.54208,"IndicLangClassification":0.842103,"GujaratiNewsClassification":0.887026,"ItaCaseholdClassification":0.679186,"FloresBitextMining":0.6821859610016421,"Robust04InstructionRetrieval":-0.007276,"BulgarianStoreReviewSentimentClassfication":0.737912,"OdiaNewsClassification":0.827474,"TswanaNewsClassification":0.326283,"PlscClusteringP2P.v2":0.729445,"FinancialPhrasebankClassification":0.854064,"News21InstructionRetrieval":0.009141,"StackOverflowQA":0.95667,"Core17InstructionRetrieval":0.014892,"WebLINXCandidatesReranking":0.156183,"PAC":0.642253,"VoyageMMarcoReranking":0.75942,"MedrxivClusteringP2P.v2":0.540824,"GermanSTSBenchmark":0.8524050000000001,"AlloprofReranking":0.8011,"AlloProfClusteringS2S.v2":0.512981,"ScalaClassification":0.764551,"indonli":0.544054,"IN22GenBitextMining":0.7819654249011858,"CovidRetrieval":0.76968,"BigPatentClustering.v2":0.39274,"PawsXPairClassification":0.6106312857142857,"NusaXBitextMining":0.798772090909091,"NusaParagraphEmotionClassification":0.48278360000000003,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.782368,"DiaBlaBitextMining":0.87508,"IndonesianIdClickbaitClassification":0.628774,"XNLI":0.7575167857142857},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":17,"model":{"name":"BidirLM/BidirLM-Omni-2.5B-Embedding","url":"https://huggingface.co/BidirLM/BidirLM-Omni-2.5B-Embedding","zeroShotPct":99,"activeParamsB":2.13,"totalParamsB":2.445,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2026-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Kirghiz","Korean","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Marathi","Modern Greek (1453-)","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Pedi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@misc{boizard2026bidirlmtextomnimodalbidirectional,\n title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},\n author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},\n year={2026},\n eprint={2604.02045},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2604.02045},\n}","memoryUsageMb":4663.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/BidirLM/BidirLM-Omni-Contrastive","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["bidirlm-omni"],"trainingDatasets":["AFQMC","ATEC","AdvertiseGen","BQ","CAIL2019-SCM","CHEF","CINLID","ChatMed_Consult_Dataset","ChineseSTS","CmedqaRetrieval","Cmnli","CodeFeedback","DRCD","DuRetrieval","ELI5_custom","ESCIReranking","EmotionClassification","Expertqa","FollowIR","GooAQ","InF-IR","JW300","LAION-Audio-300M","LCSTS","MAmmoTH2","MEDI2BGE","MIRACLRetrieval","MSMARCO","MS_COCO","Multi-CPR","MultiLongDocReranking","NFCorpus","NaturalQuestions","OPUS-100","OpenOrca","PAQ","PubMedQA","QBQTC","RefGPT","SQuAD","SearchQA","SimCLUE","SyntheticClassificationData","T2Ranking","TED Talks","THUCNews","TriviaQA","UMETRIP-QA","WebCPM","WikiAnswers","WikiMatrix","cCOVID-News","ccnews","cmrc2018","colpali_train_set","contract-nli","csl","dureader_mrc","law-gpt","lawzhidao","librispeech_asr","lima-chinese","mmarco-chinese","mnli","natcap","nli_zh","nllb","ocnli","rag-dataset-12000","simcse_sup_nli","webgpt_comparisons","webqa","wikipedia-nq","xnli_zh","yahoo-answers"]},"zeroShotPct":99,"activeParamsB":2.13,"totalParamsB":2.445,"embeddingDim":2048,"maxTokens":32768,"meanTask":0.6350236418507348,"meanTaskType":0.5548246087208817,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.009715333333333333,"MultilabelClassification":0.2654419043478261,"Classification":0.6589510761674543,"Retrieval":0.6104161974048878,"Reranking":0.6471882291666666,"STS":0.757330058080808,"Clustering":0.5150116440836884,"PairClassification":0.8065071720779222,"BitextMining":0.7228598638253487},"scoresByTask":{"SemRel24STS":0.64412675,"FinParaSTS":0.2181905,"PolEmo2.0-OUT":0.728745,"JSICK":0.849784,"SwednClusteringP2P":0.44438200000000005,"MalteseNewsClassification":0.330518,"CzechProductReviewSentimentClassification":0.619141,"STS13":0.881628,"IndicCrosslingualSTS":0.48829041666666667,"SprintDuplicateQuestions":0.970573,"WikipediaRerankingMultilingual":0.857991875,"EstonianValenceClassification":0.491565,"STS15":0.900231,"MLQARetrieval":0.748038775510204,"HALClusteringS2S.v2":0.329866,"PoemSentimentClassification":0.6588145000000001,"BrazilianToxicTweetsClassification":0.286426,"StatcanDialogueDatasetRetrieval":0.38471500000000003,"STS17":0.8603048181818181,"NordicLangClassification":0.6854,"ArXivHierarchicalClusteringP2P":0.639689,"NusaTranslationBitextMining":0.7730672727272728,"MassiveIntentClassification":0.6942355392156864,"CLSClusteringP2P.v2":0.442674,"WikipediaRetrievalMultilingual":0.8749675,"SinhalaNewsClassification":0.51084,"StackExchangeClustering.v2":0.690859,"MasakhaNEWSClassification":0.7644769375,"NusaX-senti":0.7181041666666667,"CataloniaTweetClassification":0.47900825,"OpusparcusPC":0.9543135,"ArmenianParaphrasePC":0.948188,"KorHateSpeechMLClassification":0.111537,"WikiClusteringP2P.v2":0.31281821428571427,"AmazonCounterfactualClassification":0.79612825,"ArXivHierarchicalClusteringS2S":0.639599,"NepaliNewsClassification":0.960938,"ArguAna":0.57044,"AILAStatutes":0.40505,"ToxicConversationsClassification":0.700098,"IndicGenBenchFloresBitextMining":0.8968697586206896,"CSFDSKMovieReviewSentimentClassification":0.414453,"SiswatiNewsClassification":0.7325,"CEDRClassification":0.548672,"TempReasonL1":0.0165,"BiorxivClusteringP2P.v2":0.442436,"NorwegianCourtsBitextMining":0.932018,"PunjabiNewsClassification":0.796178,"SpartQA":0.04661,"BUCC.v2":0.98989975,"BornholmBitextMining":0.566271,"BibleNLPBitextMining":0.16631755857487923,"SIB200ClusteringS2S":0.4259889035532995,"RTE3":0.8865649999999999,"TERRa":0.583374,"SwahiliNewsClassification":0.593799,"DBpediaClassification":0.950146,"HagridRetrieval":0.98832,"MultiHateClassification":0.7086181818181818,"WikiCitiesClustering":0.746983,"Tatoeba":0.7278832678571429,"STS14":0.849332,"KurdishSentimentClassification":0.658379,"PpcPC":0.936364,"STSBenchmark":0.882051,"MasakhaNEWSClusteringS2S":0.5418151875,"MIRACLRetrievalHardNegatives":0.6376527777777778,"NTREXBitextMining":0.819963600730689,"DalajClassification":0.50473,"SICK-R":0.812508,"NollySentiBitextMining":0.4113845,"SCIDOCS":0.23317,"BelebeleRetrieval":0.7515075,"IsiZuluNewsClassification":0.259176,"TwitterHjerneRetrieval":0.75634,"STSB":0.835491,"STSES":0.781491,"KorSarcasmClassification":0.585059,"WinoGrande":0.57984,"SentimentAnalysisHindi":0.74052,"RuBQReranking":0.75106,"CyrillicTurkicLangClassification":0.704004,"FilipinoShopeeReviewsClassification":0.40642100000000003,"STS22.v2":0.7154764444444445,"RomaniBibleClustering":0.406302,"MacedonianTweetSentimentClassification":0.666198,"AfriSentiClassification":0.45677349999999994,"STS12":0.826959,"LegalBenchCorporateLobbying":0.95157,"TweetTopicSingleClassification":0.781453,"MultiEURLEXMultilabelClassification":0.05005652173913044,"T2Reranking":0.67014,"GreekLegalCodeClassification":0.476953,"SlovakMovieReviewSentimentClassification":0.861426,"FaroeseSTS":0.717523,"SwissJudgementClassification":0.538866,"TwitterURLCorpus":0.873147,"TRECCOVID":0.80887,"IndicLangClassification":0.873476,"GujaratiNewsClassification":0.884901,"ItaCaseholdClassification":0.855204,"FloresBitextMining":0.6545073176615473,"Robust04InstructionRetrieval":0.003789,"BulgarianStoreReviewSentimentClassfication":0.702747,"OdiaNewsClassification":0.823291,"TswanaNewsClassification":0.32731,"PlscClusteringP2P.v2":0.744674,"FinancialPhrasebankClassification":0.917138,"News21InstructionRetrieval":0.002628,"StackOverflowQA":0.9411,"Core17InstructionRetrieval":0.022729,"WebLINXCandidatesReranking":0.1159275,"PAC":0.650217,"VoyageMMarcoReranking":0.67403,"MedrxivClusteringP2P.v2":0.435787,"GermanSTSBenchmark":0.853894,"AlloprofReranking":0.81398,"AlloProfClusteringS2S.v2":0.560392,"ScalaClassification":0.52790525,"indonli":0.573306,"IN22GenBitextMining":0.7777492944664031,"CovidRetrieval":0.8128,"BigPatentClustering.v2":0.435921,"PawsXPairClassification":0.5617297857142857,"NusaXBitextMining":0.7997509090909091,"NusaParagraphEmotionClassification":0.5375957,"LEMBPasskeyRetrieval":0.48,"CTKFactsNLI":0.8155585000000001,"DiaBlaBitextMining":0.881496,"IndonesianIdClickbaitClassification":0.591964,"XNLI":0.7684601071428572},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":18,"model":{"name":"ai-sage/Giga-Embeddings-instruct-3B-0826","url":"https://huggingface.co/ai-sage/Giga-Embeddings-instruct-3B-0826","zeroShotPct":-1,"activeParamsB":2.888,"totalParamsB":3.151,"embeddingDim":2048,"maxTokens":8192.0,"releaseDate":"2026-08-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Russian"],"citation":null,"memoryUsageMb":6009.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":2.888,"totalParamsB":3.151,"embeddingDim":2048,"maxTokens":8192,"meanTask":0.6389016744352065,"meanTaskType":0.5648734309335081,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.021133,"MultilabelClassification":0.3268810086956522,"Classification":0.663214852204846,"Retrieval":0.6082298084724433,"Reranking":0.6726423541666667,"STS":0.7419601870265151,"Clustering":0.5432382941216461,"PairClassification":0.8261937857142857,"BitextMining":0.6803675879995175},"scoresByTask":{"SemRel24STS":0.656778,"FinParaSTS":0.20004349999999999,"PolEmo2.0-OUT":0.740688,"JSICK":0.821297,"SwednClusteringP2P":0.5262279999999999,"MalteseNewsClassification":0.335046,"CzechProductReviewSentimentClassification":0.632959,"STS13":0.894114,"IndicCrosslingualSTS":0.28834441666666666,"SprintDuplicateQuestions":0.963323,"WikipediaRerankingMultilingual":0.915875625,"EstonianValenceClassification":0.555501,"STS15":0.895336,"MLQARetrieval":0.7297662244897959,"HALClusteringS2S.v2":0.297749,"PoemSentimentClassification":0.8680355,"BrazilianToxicTweetsClassification":0.342432,"StatcanDialogueDatasetRetrieval":0.3523125,"STS17":0.8603169090909091,"NordicLangClassification":0.6379,"ArXivHierarchicalClusteringP2P":0.672404,"NusaTranslationBitextMining":0.7736714545454546,"MassiveIntentClassification":0.710592725490196,"CLSClusteringP2P.v2":0.48762,"WikipediaRetrievalMultilingual":0.92328625,"SinhalaNewsClassification":0.625195,"StackExchangeClustering.v2":0.710291,"MasakhaNEWSClassification":0.7472678125,"NusaX-senti":0.6955625,"CataloniaTweetClassification":0.438853,"OpusparcusPC":0.9504655,"ArmenianParaphrasePC":0.966312,"KorHateSpeechMLClassification":0.237703,"WikiClusteringP2P.v2":0.31452357142857146,"AmazonCounterfactualClassification":0.912426875,"ArXivHierarchicalClusteringS2S":0.665802,"NepaliNewsClassification":0.949414,"ArguAna":0.59084,"AILAStatutes":0.36212,"ToxicConversationsClassification":0.903564,"IndicGenBenchFloresBitextMining":0.7982070517241379,"CSFDSKMovieReviewSentimentClassification":0.489307,"SiswatiNewsClassification":0.50875,"CEDRClassification":0.677311,"TempReasonL1":0.02384,"BiorxivClusteringP2P.v2":0.541222,"NorwegianCourtsBitextMining":0.94152,"PunjabiNewsClassification":0.601274,"SpartQA":0.01264,"BUCC.v2":0.98957675,"BornholmBitextMining":0.537033,"BibleNLPBitextMining":0.14063498973429953,"SIB200ClusteringS2S":0.5505806345177665,"RTE3":0.9028705,"TERRa":0.723104,"SwahiliNewsClassification":0.600439,"DBpediaClassification":0.990332,"HagridRetrieval":0.98896,"MultiHateClassification":0.8536181818181817,"WikiCitiesClustering":0.844866,"Tatoeba":0.6718858214285713,"STS14":0.848646,"KurdishSentimentClassification":0.70921,"PpcPC":0.921338,"STSBenchmark":0.885829,"MasakhaNEWSClusteringS2S":0.5242445,"MIRACLRetrievalHardNegatives":0.6196033333333334,"NTREXBitextMining":0.762844995302714,"DalajClassification":0.497297,"SICK-R":0.84408,"NollySentiBitextMining":0.419367,"SCIDOCS":0.21696,"BelebeleRetrieval":0.7168182446808511,"IsiZuluNewsClassification":0.282979,"TwitterHjerneRetrieval":0.77046,"STSB":0.8348184999999999,"STSES":0.763235,"KorSarcasmClassification":0.573682,"WinoGrande":0.49544,"SentimentAnalysisHindi":0.728431,"RuBQReranking":0.79881,"CyrillicTurkicLangClassification":0.838965,"FilipinoShopeeReviewsClassification":0.4546385,"STS22.v2":0.7101566666666668,"RomaniBibleClustering":0.417355,"MacedonianTweetSentimentClassification":0.651097,"AfriSentiClassification":0.44742716666666665,"STS12":0.775605,"LegalBenchCorporateLobbying":0.94291,"TweetTopicSingleClassification":0.879149,"MultiEURLEXMultilabelClassification":0.041913043478260865,"T2Reranking":0.66645,"GreekLegalCodeClassification":0.18186,"SlovakMovieReviewSentimentClassification":0.887256,"FaroeseSTS":0.731617,"SwissJudgementClassification":0.5663223333333334,"TwitterURLCorpus":0.868361,"TRECCOVID":0.84867,"IndicLangClassification":0.822118,"GujaratiNewsClassification":0.774127,"ItaCaseholdClassification":0.693665,"FloresBitextMining":0.5934323322466918,"Robust04InstructionRetrieval":0.00658,"BulgarianStoreReviewSentimentClassfication":0.787912,"OdiaNewsClassification":0.64592,"TswanaNewsClassification":0.320329,"PlscClusteringP2P.v2":0.757783,"FinancialPhrasebankClassification":1.0,"News21InstructionRetrieval":0.001076,"StackOverflowQA":0.95802,"Core17InstructionRetrieval":0.055743,"WebLINXCandidatesReranking":0.1472285,"PAC":0.73203,"VoyageMMarcoReranking":0.706,"MedrxivClusteringP2P.v2":0.510414,"GermanSTSBenchmark":0.861146,"AlloprofReranking":0.80149,"AlloProfClusteringS2S.v2":0.541065,"ScalaClassification":0.51132825,"indonli":0.561743,"IN22GenBitextMining":0.6372465217391304,"CovidRetrieval":0.71299,"BigPatentClustering.v2":0.329665,"PawsXPairClassification":0.6179027857142857,"NusaXBitextMining":0.7017557272727273,"NusaParagraphEmotionClassification":0.4183408,"LEMBPasskeyRetrieval":0.6825,"CTKFactsNLI":0.835025,"DiaBlaBitextMining":0.877603,"IndonesianIdClickbaitClassification":0.652475,"XNLI":0.7776868571428571},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":19,"model":{"name":"microsoft/harrier-oss-v1-270m","url":"https://huggingface.co/microsoft/harrier-oss-v1-270m","zeroShotPct":78,"activeParamsB":0.1,"totalParamsB":0.268,"embeddingDim":640,"maxTokens":32768.0,"releaseDate":"2026-03-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":null,"memoryUsageMb":512.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google/gemma-3-270m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AlphaNLI","AmazonCounterfactualClassification","AppsRetrieval","BornholmBitextMining","COIRCodeSearchNetRetrieval","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContestRetrieval","CodeTransOceanDLRetrieval","CosQARetrieval","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","EmotionClassification","FEVER","FiQA2018","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","HellaSwag","HotpotQAHardNegatives","IndicLangClassification","MIRACLRetrieval","MSMARCO","MrTidyRetrieval","NFCorpus","NQ","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","Quail","QuoraRetrieval","STSB","ScalaClassification","SciFact","SemRel24STS","SpartQA","StackOverflowQARetrieval","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","SyntheticText2SQLRetrieval","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"]},"zeroShotPct":78,"activeParamsB":0.1,"totalParamsB":0.268,"embeddingDim":640,"maxTokens":32768,"meanTask":0.6654696953128199,"meanTaskType":0.5690333567547632,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.004679666666666666,"MultilabelClassification":0.23969744347826089,"Classification":0.7083569239480993,"Retrieval":0.6637835960040044,"Reranking":0.6189553263888888,"STS":0.7535376526199494,"Clustering":0.5250786718013507,"PairClassification":0.8011885800865801,"BitextMining":0.8153816831324021},"scoresByTask":{"SemRel24STS":0.66244275,"FinParaSTS":0.244117,"PolEmo2.0-OUT":0.640486,"JSICK":0.842092,"SwednClusteringP2P":0.5563715,"MalteseNewsClassification":0.356117,"CzechProductReviewSentimentClassification":0.669043,"STS13":0.850239,"IndicCrosslingualSTS":0.5113208333333333,"SprintDuplicateQuestions":0.964584,"WikipediaRerankingMultilingual":0.847048125,"EstonianValenceClassification":0.571883,"STS15":0.893462,"MLQARetrieval":0.6758082653061224,"HALClusteringS2S.v2":0.291117,"PoemSentimentClassification":0.6683475000000001,"BrazilianToxicTweetsClassification":0.231396,"StatcanDialogueDatasetRetrieval":0.39607000000000003,"STS17":0.8505116363636364,"NordicLangClassification":0.914,"ArXivHierarchicalClusteringP2P":0.61477,"NusaTranslationBitextMining":0.8297173636363637,"MassiveIntentClassification":0.6107007843137255,"CLSClusteringP2P.v2":0.532487,"WikipediaRetrievalMultilingual":0.84341625,"SinhalaNewsClassification":0.758643,"StackExchangeClustering.v2":0.718229,"MasakhaNEWSClassification":0.855459375,"NusaX-senti":0.6417708333333333,"CataloniaTweetClassification":0.6827485,"OpusparcusPC":0.9387706666666666,"ArmenianParaphrasePC":0.942186,"KorHateSpeechMLClassification":0.091311,"WikiClusteringP2P.v2":0.2938191428571429,"AmazonCounterfactualClassification":0.923462875,"ArXivHierarchicalClusteringS2S":0.594377,"NepaliNewsClassification":0.96084,"ArguAna":0.63632,"AILAStatutes":0.35688,"ToxicConversationsClassification":0.888428,"IndicGenBenchFloresBitextMining":0.9637177586206896,"CSFDSKMovieReviewSentimentClassification":0.547559,"SiswatiNewsClassification":0.565,"CEDRClassification":0.473858,"TempReasonL1":0.18275,"BiorxivClusteringP2P.v2":0.477091,"NorwegianCourtsBitextMining":0.932018,"PunjabiNewsClassification":0.771975,"SpartQA":0.60592,"BUCC.v2":0.9873675,"BornholmBitextMining":0.670144,"BibleNLPBitextMining":0.3691456739130435,"SIB200ClusteringS2S":0.43797873096446704,"RTE3":0.878871,"TERRa":0.592768,"SwahiliNewsClassification":0.630859,"DBpediaClassification":0.988965,"HagridRetrieval":0.98896,"MultiHateClassification":0.5791545454545455,"WikiCitiesClustering":0.909163,"Tatoeba":0.7836472678571429,"STS14":0.822524,"KurdishSentimentClassification":0.865727,"PpcPC":0.901907,"STSBenchmark":0.873411,"MasakhaNEWSClusteringS2S":0.542723375,"MIRACLRetrievalHardNegatives":0.62177,"NTREXBitextMining":0.9247728935281837,"DalajClassification":0.496171,"SICK-R":0.820597,"NollySentiBitextMining":0.7803635,"SCIDOCS":0.21469,"BelebeleRetrieval":0.7395702127659575,"IsiZuluNewsClassification":0.361037,"TwitterHjerneRetrieval":0.60126,"STSB":0.8221915,"STSES":0.758846,"KorSarcasmClassification":0.558057,"WinoGrande":0.78175,"SentimentAnalysisHindi":0.634514,"RuBQReranking":0.71855,"CyrillicTurkicLangClassification":0.992285,"FilipinoShopeeReviewsClassification":0.42168,"STS22.v2":0.7042507222222222,"RomaniBibleClustering":0.3893,"MacedonianTweetSentimentClassification":0.622125,"AfriSentiClassification":0.45438175000000003,"STS12":0.79363,"LegalBenchCorporateLobbying":0.94238,"TweetTopicSingleClassification":0.785706,"MultiEURLEXMultilabelClassification":0.045805217391304345,"T2Reranking":0.66829,"GreekLegalCodeClassification":0.582031,"SlovakMovieReviewSentimentClassification":0.89873,"FaroeseSTS":0.760281,"SwissJudgementClassification":0.7309566666666667,"TwitterURLCorpus":0.861616,"TRECCOVID":0.82102,"IndicLangClassification":0.9818,"GujaratiNewsClassification":0.847572,"ItaCaseholdClassification":0.766063,"FloresBitextMining":0.8537442749444606,"Robust04InstructionRetrieval":-0.028868,"BulgarianStoreReviewSentimentClassfication":0.754945,"OdiaNewsClassification":0.944966,"TswanaNewsClassification":0.512731,"PlscClusteringP2P.v2":0.732811,"FinancialPhrasebankClassification":0.803313,"News21InstructionRetrieval":0.02147,"StackOverflowQA":0.89605,"Core17InstructionRetrieval":-0.006641,"WebLINXCandidatesReranking":0.11953383333333334,"PAC":0.707674,"VoyageMMarcoReranking":0.62046,"MedrxivClusteringP2P.v2":0.408406,"GermanSTSBenchmark":0.846686,"AlloprofReranking":0.73985,"AlloProfClusteringS2S.v2":0.528639,"ScalaClassification":0.6221315000000001,"indonli":0.567619,"IN22GenBitextMining":0.8298904664031621,"CovidRetrieval":0.81599,"BigPatentClustering.v2":0.373976,"PawsXPairClassification":0.5523947857142857,"NusaXBitextMining":0.8226151818181818,"NusaParagraphEmotionClassification":0.6134754,"LEMBPasskeyRetrieval":0.8275,"CTKFactsNLI":0.813203,"DiaBlaBitextMining":0.852818,"IndonesianIdClickbaitClassification":0.63195,"XNLI":0.7991549285714286},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","BornholmBitextMining","CSFDSKMovieReviewSentimentClassification","CataloniaTweetClassification","CyrillicTurkicLangClassification","CzechProductReviewSentimentClassification","DBpediaClassification","FinParaSTS","GermanSTSBenchmark","GreekLegalCodeClassification","IndicLangClassification","MIRACLRetrievalHardNegatives","NordicLangClassification","NusaParagraphEmotionClassification","OdiaNewsClassification","PAC","PawsXPairClassification","PoemSentimentClassification","STSB","ScalaClassification","SemRel24STS","SpartQA","StatcanDialogueDatasetRetrieval","SwissJudgementClassification","TERRa","TempReasonL1","ToxicConversationsClassification","WinoGrande"],"experiments":null},{"rank":20,"model":{"name":"Qwen/Qwen3-Embedding-0.6B","url":"https://huggingface.co/Qwen/Qwen3-Embedding-0.6B","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2025-06-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{qwen3embedding,\n title={Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models},\n author={Zhang, Yanzhao and Li, Mingxin and Long, Dingkun and Zhang, Xin and Lin, Huan and Yang, Baosong and Xie, Pengjun and Yang, An and Liu, Dayiheng and Lin, Junyang and Huang, Fei and Zhou, Jingren},\n journal={arXiv preprint arXiv:2506.05176},\n year={2025}\n}","memoryUsageMb":1136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":0.643355192676886,"meanTaskType":0.5601302542401285,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05094133333333334,"MultilabelClassification":0.24584378260869566,"Classification":0.6682845920770635,"Retrieval":0.6464702360447725,"Reranking":0.6140931770833333,"STS":0.7616835441919192,"Clustering":0.5232641443018038,"PairClassification":0.8083128398268399,"BitextMining":0.7222786386933959},"scoresByTask":{"SemRel24STS":0.5937311666666667,"FinParaSTS":0.2632175,"PolEmo2.0-OUT":0.715182,"JSICK":0.866246,"SwednClusteringP2P":0.5335785,"MalteseNewsClassification":0.36108,"CzechProductReviewSentimentClassification":0.637549,"STS13":0.917553,"IndicCrosslingualSTS":0.3897911666666667,"SprintDuplicateQuestions":0.941094,"WikipediaRerankingMultilingual":0.8598550625,"EstonianValenceClassification":0.411125,"STS15":0.914472,"MLQARetrieval":0.7278776530612244,"HALClusteringS2S.v2":0.289713,"PoemSentimentClassification":0.733031,"BrazilianToxicTweetsClassification":0.226074,"StatcanDialogueDatasetRetrieval":0.33633,"STS17":0.8550388181818181,"NordicLangClassification":0.843233,"ArXivHierarchicalClusteringP2P":0.637187,"NusaTranslationBitextMining":0.8539324545454545,"MassiveIntentClassification":0.6143749509803922,"CLSClusteringP2P.v2":0.620127,"WikipediaRetrievalMultilingual":0.87133875,"SinhalaNewsClassification":0.595898,"StackExchangeClustering.v2":0.711618,"MasakhaNEWSClassification":0.8049881249999999,"NusaX-senti":0.7131041666666667,"CataloniaTweetClassification":0.49137725,"OpusparcusPC":0.9294449166666666,"ArmenianParaphrasePC":0.931424,"KorHateSpeechMLClassification":0.09676,"WikiClusteringP2P.v2":0.29658971428571423,"AmazonCounterfactualClassification":0.90422325,"ArXivHierarchicalClusteringS2S":0.638185,"NepaliNewsClassification":0.955762,"ArguAna":0.70965,"AILAStatutes":0.79018,"ToxicConversationsClassification":0.821289,"IndicGenBenchFloresBitextMining":0.9042270689655172,"CSFDSKMovieReviewSentimentClassification":0.44082,"SiswatiNewsClassification":0.58,"CEDRClassification":0.498831,"TempReasonL1":0.01022,"BiorxivClusteringP2P.v2":0.472655,"NorwegianCourtsBitextMining":0.926901,"PunjabiNewsClassification":0.835032,"SpartQA":0.10585,"BUCC.v2":0.984417,"BornholmBitextMining":0.542167,"BibleNLPBitextMining":0.21171626932367152,"SIB200ClusteringS2S":0.34126696954314717,"RTE3":0.8895385,"TERRa":0.606803,"SwahiliNewsClassification":0.583545,"DBpediaClassification":0.988428,"HagridRetrieval":0.98758,"MultiHateClassification":0.6429999999999999,"WikiCitiesClustering":0.867578,"Tatoeba":0.5805298660714285,"STS14":0.871015,"KurdishSentimentClassification":0.800654,"PpcPC":0.905005,"STSBenchmark":0.911297,"MasakhaNEWSClusteringS2S":0.532390125,"MIRACLRetrievalHardNegatives":0.6122650000000001,"NTREXBitextMining":0.7945833089770356,"DalajClassification":0.49955,"SICK-R":0.848283,"NollySentiBitextMining":0.613331,"SCIDOCS":0.24407,"BelebeleRetrieval":0.6873828457446808,"IsiZuluNewsClassification":0.255585,"TwitterHjerneRetrieval":0.6004,"STSB":0.846196,"STSES":0.769487,"KorSarcasmClassification":0.558984,"WinoGrande":0.50792,"SentimentAnalysisHindi":0.742522,"RuBQReranking":0.656728,"CyrillicTurkicLangClassification":0.902002,"FilipinoShopeeReviewsClassification":0.408447,"STS22.v2":0.7183335555555556,"RomaniBibleClustering":0.402853,"MacedonianTweetSentimentClassification":0.610272,"AfriSentiClassification":0.46047600000000005,"STS12":0.829953,"LegalBenchCorporateLobbying":0.94517,"TweetTopicSingleClassification":0.807501,"MultiEURLEXMultilabelClassification":0.04647391304347826,"T2Reranking":0.671523,"GreekLegalCodeClassification":0.39694799999999997,"SlovakMovieReviewSentimentClassification":0.863428,"FaroeseSTS":0.743312,"SwissJudgementClassification":0.5555926666666667,"TwitterURLCorpus":0.867482,"TRECCOVID":0.90518,"IndicLangClassification":0.930919,"GujaratiNewsClassification":0.858422,"ItaCaseholdClassification":0.616742,"FloresBitextMining":0.6275455782140443,"Robust04InstructionRetrieval":0.027448,"BulgarianStoreReviewSentimentClassfication":0.734066,"OdiaNewsClassification":0.841874,"TswanaNewsClassification":0.348871,"PlscClusteringP2P.v2":0.742182,"FinancialPhrasebankClassification":0.905786,"News21InstructionRetrieval":0.036048,"StackOverflowQA":0.89994,"Core17InstructionRetrieval":0.089328,"WebLINXCandidatesReranking":0.116022,"PAC":0.695251,"VoyageMMarcoReranking":0.576603,"MedrxivClusteringP2P.v2":0.421841,"GermanSTSBenchmark":0.8490105,"AlloprofReranking":0.803828,"AlloProfClusteringS2S.v2":0.539575,"ScalaClassification":0.50512725,"indonli":0.589872,"IN22GenBitextMining":0.7577553023715415,"CovidRetrieval":0.84761,"BigPatentClustering.v2":0.324887,"PawsXPairClassification":0.6219185714285714,"NusaXBitextMining":0.7838504545454547,"NusaParagraphEmotionClassification":0.4775818,"LEMBPasskeyRetrieval":0.8475,"CTKFactsNLI":0.791702,"DiaBlaBitextMining":0.808666,"IndonesianIdClickbaitClassification":0.647674,"XNLI":0.8171572500000001},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":21,"model":{"name":"jinaai/jina-embeddings-v5-omni-nano","url":"https://huggingface.co/jinaai/jina-embeddings-v5-omni-nano","zeroShotPct":-1,"activeParamsB":0.887,"totalParamsB":0.986,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-04-01","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{akram2026jinaembeddingsv5texttasktargetedembeddingdistillation,\n title={jina-embeddings-v5-text: Task-Targeted Embedding Distillation},\n author={Mohammad Kalim Akram and Saba Sturua and Nastia Havriushenko and Quentin Herreros and Michael Günther and Maximilian Werk and Han Xiao},\n year={2026},\n eprint={2602.15547},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2602.15547},\n}","memoryUsageMb":1881.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"jinaai/jina-embeddings-v5-text-nano","supersededBy":null,"extraRequirementsGroups":["peft"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.887,"totalParamsB":0.986,"embeddingDim":768,"maxTokens":8192,"meanTask":0.6552339420490167,"meanTaskType":0.5766231801713748,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.00047766666666666677,"MultilabelClassification":0.4131042173913043,"Classification":0.6917703844660696,"Retrieval":0.6326010977814096,"Reranking":0.6462847430555555,"STS":0.7816929666982323,"Clustering":0.5272884363697652,"PairClassification":0.8193616482683982,"BitextMining":0.6770274608449716},"scoresByTask":{"SemRel24STS":0.6186724166666667,"FinParaSTS":0.3504525,"PolEmo2.0-OUT":0.669028,"JSICK":0.815222,"SwednClusteringP2P":0.560305,"MalteseNewsClassification":0.562429,"CzechProductReviewSentimentClassification":0.627246,"STS13":0.894751,"IndicCrosslingualSTS":0.4143135,"SprintDuplicateQuestions":0.955503,"WikipediaRerankingMultilingual":0.888323125,"EstonianValenceClassification":0.509902,"STS15":0.927998,"MLQARetrieval":0.7703260204081633,"HALClusteringS2S.v2":0.292121,"PoemSentimentClassification":0.7561035,"BrazilianToxicTweetsClassification":0.207422,"StatcanDialogueDatasetRetrieval":0.3305275,"STS17":0.8628882727272728,"NordicLangClassification":0.881667,"ArXivHierarchicalClusteringP2P":0.650163,"NusaTranslationBitextMining":0.6958577272727273,"MassiveIntentClassification":0.8405882843137255,"CLSClusteringP2P.v2":0.488929,"WikipediaRetrievalMultilingual":0.899545625,"SinhalaNewsClassification":0.516895,"StackExchangeClustering.v2":0.693946,"MasakhaNEWSClassification":0.82716925,"NusaX-senti":0.7611041666666667,"CataloniaTweetClassification":0.6579675,"OpusparcusPC":0.9400324166666666,"ArmenianParaphrasePC":0.93536,"KorHateSpeechMLClassification":0.588414,"WikiClusteringP2P.v2":0.302311,"AmazonCounterfactualClassification":0.937233875,"ArXivHierarchicalClusteringS2S":0.610752,"NepaliNewsClassification":0.985693,"ArguAna":0.65699,"AILAStatutes":0.51516,"ToxicConversationsClassification":0.927734,"IndicGenBenchFloresBitextMining":0.8624445603448276,"CSFDSKMovieReviewSentimentClassification":0.405615,"SiswatiNewsClassification":0.485,"CEDRClassification":0.65271,"TempReasonL1":0.01238,"BiorxivClusteringP2P.v2":0.464257,"NorwegianCourtsBitextMining":0.948099,"PunjabiNewsClassification":0.804459,"SpartQA":0.06277,"BUCC.v2":0.98623575,"BornholmBitextMining":0.771171,"BibleNLPBitextMining":0.12497421256038649,"SIB200ClusteringS2S":0.3889512944162437,"RTE3":0.8942365,"TERRa":0.645916,"SwahiliNewsClassification":0.507373,"DBpediaClassification":0.977539,"HagridRetrieval":0.98781,"MultiHateClassification":0.5700272727272727,"WikiCitiesClustering":0.887275,"Tatoeba":0.5653701250000001,"STS14":0.889108,"KurdishSentimentClassification":0.933065,"PpcPC":0.938663,"STSBenchmark":0.944537,"MasakhaNEWSClusteringS2S":0.5227696875,"MIRACLRetrievalHardNegatives":0.6580394444444445,"NTREXBitextMining":0.7281534890396659,"DalajClassification":0.504279,"SICK-R":0.919743,"NollySentiBitextMining":0.37097675,"SCIDOCS":0.22604,"BelebeleRetrieval":0.753111170212766,"IsiZuluNewsClassification":0.177527,"TwitterHjerneRetrieval":0.74015,"STSB":0.897797,"STSES":0.800676,"KorSarcasmClassification":0.536963,"WinoGrande":0.53405,"SentimentAnalysisHindi":0.553538,"RuBQReranking":0.73677,"CyrillicTurkicLangClassification":0.979102,"FilipinoShopeeReviewsClassification":0.405176,"STS22.v2":0.6961947777777778,"RomaniBibleClustering":0.406018,"MacedonianTweetSentimentClassification":0.649078,"AfriSentiClassification":0.3683781666666666,"STS12":0.853443,"LegalBenchCorporateLobbying":0.94524,"TweetTopicSingleClassification":0.846604,"MultiEURLEXMultilabelClassification":0.05454608695652174,"T2Reranking":0.67625,"GreekLegalCodeClassification":0.5896485,"SlovakMovieReviewSentimentClassification":0.850635,"FaroeseSTS":0.713955,"SwissJudgementClassification":0.6049216666666667,"TwitterURLCorpus":0.855575,"TRECCOVID":0.77601,"IndicLangClassification":0.975955,"GujaratiNewsClassification":0.910091,"ItaCaseholdClassification":0.874208,"FloresBitextMining":0.534389797715638,"Robust04InstructionRetrieval":-0.029179,"BulgarianStoreReviewSentimentClassfication":0.74011,"OdiaNewsClassification":0.945382,"TswanaNewsClassification":0.526489,"PlscClusteringP2P.v2":0.743695,"FinancialPhrasebankClassification":0.486087,"News21InstructionRetrieval":0.012812,"StackOverflowQA":0.92337,"Core17InstructionRetrieval":0.0178,"WebLINXCandidatesReranking":0.10945533333333334,"PAC":0.863018,"VoyageMMarcoReranking":0.67022,"MedrxivClusteringP2P.v2":0.425577,"GermanSTSBenchmark":0.9073359999999999,"AlloprofReranking":0.79669,"AlloProfClusteringS2S.v2":0.56435,"ScalaClassification":0.50111075,"indonli":0.595587,"IN22GenBitextMining":0.7169917608695652,"CovidRetrieval":0.7803,"BigPatentClustering.v2":0.435195,"PawsXPairClassification":0.6222597857142856,"NusaXBitextMining":0.6581438181818182,"NusaParagraphEmotionClassification":0.7336516000000001,"LEMBPasskeyRetrieval":0.815,"CTKFactsNLI":0.8160995,"DiaBlaBitextMining":0.838549,"IndonesianIdClickbaitClassification":0.542764,"XNLI":0.8137459285714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":22,"model":{"name":"jinaai/jina-embeddings-v5-text-nano","url":"https://huggingface.co/jinaai/jina-embeddings-v5-text-nano","zeroShotPct":-1,"activeParamsB":0.113,"totalParamsB":0.212,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-02-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{akram2026jinaembeddingsv5texttasktargetedembeddingdistillation,\n title={jina-embeddings-v5-text: Task-Targeted Embedding Distillation},\n author={Mohammad Kalim Akram and Saba Sturua and Nastia Havriushenko and Quentin Herreros and Michael Günther and Maximilian Werk and Han Xiao},\n year={2026},\n eprint={2602.15547},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2602.15547},\n}","memoryUsageMb":404.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"EuroBERT/EuroBERT-210m","supersededBy":null,"extraRequirementsGroups":["peft"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.113,"totalParamsB":0.212,"embeddingDim":768,"maxTokens":8192,"meanTask":0.6552339420490167,"meanTaskType":0.5766231801713748,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.00047766666666666677,"MultilabelClassification":0.4131042173913043,"Classification":0.6917703844660696,"Retrieval":0.6326010977814096,"Reranking":0.6462847430555555,"STS":0.7816929666982323,"Clustering":0.5272884363697652,"PairClassification":0.8193616482683982,"BitextMining":0.6770274608449716},"scoresByTask":{"SemRel24STS":0.6186724166666667,"FinParaSTS":0.3504525,"PolEmo2.0-OUT":0.669028,"JSICK":0.815222,"SwednClusteringP2P":0.560305,"MalteseNewsClassification":0.562429,"CzechProductReviewSentimentClassification":0.627246,"STS13":0.894751,"IndicCrosslingualSTS":0.4143135,"SprintDuplicateQuestions":0.955503,"WikipediaRerankingMultilingual":0.888323125,"EstonianValenceClassification":0.509902,"STS15":0.927998,"MLQARetrieval":0.7703260204081633,"HALClusteringS2S.v2":0.292121,"PoemSentimentClassification":0.7561035,"BrazilianToxicTweetsClassification":0.207422,"StatcanDialogueDatasetRetrieval":0.3305275,"STS17":0.8628882727272728,"NordicLangClassification":0.881667,"ArXivHierarchicalClusteringP2P":0.650163,"NusaTranslationBitextMining":0.6958577272727273,"MassiveIntentClassification":0.8405882843137255,"CLSClusteringP2P.v2":0.488929,"WikipediaRetrievalMultilingual":0.899545625,"SinhalaNewsClassification":0.516895,"StackExchangeClustering.v2":0.693946,"MasakhaNEWSClassification":0.82716925,"NusaX-senti":0.7611041666666667,"CataloniaTweetClassification":0.6579675,"OpusparcusPC":0.9400324166666666,"ArmenianParaphrasePC":0.93536,"KorHateSpeechMLClassification":0.588414,"WikiClusteringP2P.v2":0.302311,"AmazonCounterfactualClassification":0.937233875,"ArXivHierarchicalClusteringS2S":0.610752,"NepaliNewsClassification":0.985693,"ArguAna":0.65699,"AILAStatutes":0.51516,"ToxicConversationsClassification":0.927734,"IndicGenBenchFloresBitextMining":0.8624445603448276,"CSFDSKMovieReviewSentimentClassification":0.405615,"SiswatiNewsClassification":0.485,"CEDRClassification":0.65271,"TempReasonL1":0.01238,"BiorxivClusteringP2P.v2":0.464257,"NorwegianCourtsBitextMining":0.948099,"PunjabiNewsClassification":0.804459,"SpartQA":0.06277,"BUCC.v2":0.98623575,"BornholmBitextMining":0.771171,"BibleNLPBitextMining":0.12497421256038649,"SIB200ClusteringS2S":0.3889512944162437,"RTE3":0.8942365,"TERRa":0.645916,"SwahiliNewsClassification":0.507373,"DBpediaClassification":0.977539,"HagridRetrieval":0.98781,"MultiHateClassification":0.5700272727272727,"WikiCitiesClustering":0.887275,"Tatoeba":0.5653701250000001,"STS14":0.889108,"KurdishSentimentClassification":0.933065,"PpcPC":0.938663,"STSBenchmark":0.944537,"MasakhaNEWSClusteringS2S":0.5227696875,"MIRACLRetrievalHardNegatives":0.6580394444444445,"NTREXBitextMining":0.7281534890396659,"DalajClassification":0.504279,"SICK-R":0.919743,"NollySentiBitextMining":0.37097675,"SCIDOCS":0.22604,"BelebeleRetrieval":0.753111170212766,"IsiZuluNewsClassification":0.177527,"TwitterHjerneRetrieval":0.74015,"STSB":0.897797,"STSES":0.800676,"KorSarcasmClassification":0.536963,"WinoGrande":0.53405,"SentimentAnalysisHindi":0.553538,"RuBQReranking":0.73677,"CyrillicTurkicLangClassification":0.979102,"FilipinoShopeeReviewsClassification":0.405176,"STS22.v2":0.6961947777777778,"RomaniBibleClustering":0.406018,"MacedonianTweetSentimentClassification":0.649078,"AfriSentiClassification":0.3683781666666666,"STS12":0.853443,"LegalBenchCorporateLobbying":0.94524,"TweetTopicSingleClassification":0.846604,"MultiEURLEXMultilabelClassification":0.05454608695652174,"T2Reranking":0.67625,"GreekLegalCodeClassification":0.5896485,"SlovakMovieReviewSentimentClassification":0.850635,"FaroeseSTS":0.713955,"SwissJudgementClassification":0.6049216666666667,"TwitterURLCorpus":0.855575,"TRECCOVID":0.77601,"IndicLangClassification":0.975955,"GujaratiNewsClassification":0.910091,"ItaCaseholdClassification":0.874208,"FloresBitextMining":0.534389797715638,"Robust04InstructionRetrieval":-0.029179,"BulgarianStoreReviewSentimentClassfication":0.74011,"OdiaNewsClassification":0.945382,"TswanaNewsClassification":0.526489,"PlscClusteringP2P.v2":0.743695,"FinancialPhrasebankClassification":0.486087,"News21InstructionRetrieval":0.012812,"StackOverflowQA":0.92337,"Core17InstructionRetrieval":0.0178,"WebLINXCandidatesReranking":0.10945533333333334,"PAC":0.863018,"VoyageMMarcoReranking":0.67022,"MedrxivClusteringP2P.v2":0.425577,"GermanSTSBenchmark":0.9073359999999999,"AlloprofReranking":0.79669,"AlloProfClusteringS2S.v2":0.56435,"ScalaClassification":0.50111075,"indonli":0.595587,"IN22GenBitextMining":0.7169917608695652,"CovidRetrieval":0.7803,"BigPatentClustering.v2":0.435195,"PawsXPairClassification":0.6222597857142856,"NusaXBitextMining":0.6581438181818182,"NusaParagraphEmotionClassification":0.7336516000000001,"LEMBPasskeyRetrieval":0.815,"CTKFactsNLI":0.8160995,"DiaBlaBitextMining":0.838549,"IndonesianIdClickbaitClassification":0.542764,"XNLI":0.8137459285714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":23,"model":{"name":"Alibaba-NLP/gte-Qwen2-7B-instruct","url":"https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct","zeroShotPct":-1,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2024-06-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":"\n@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}\n","memoryUsageMb":29040.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768,"meanTask":0.6251239852717331,"meanTaskType":0.5593358772439864,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.04939433333333334,"MultilabelClassification":0.25475169102143325,"Classification":0.6155249207574879,"Retrieval":0.6007638600483535,"Reranking":0.6555365912172014,"STS":0.7398144356229726,"Clustering":0.5277273630809499,"PairClassification":0.8512674430011671,"BitextMining":0.7392422571129789},"scoresByTask":{"SemRel24STS":0.6294644141747185,"FinParaSTS":0.257195529264813,"PolEmo2.0-OUT":0.5449392712550607,"JSICK":0.7320416551353325,"SwednClusteringP2P":0.512087241288512,"MalteseNewsClassification":0.35690030474532,"CzechProductReviewSentimentClassification":0.55,"STS13":0.8896943154592363,"IndicCrosslingualSTS":0.41814246601955257,"SprintDuplicateQuestions":0.9314139545432241,"WikipediaRerankingMultilingual":0.8772810185185185,"EstonianValenceClassification":0.426161369193154,"STS15":0.8848375378824065,"MLQARetrieval":0.7869177551020409,"HALClusteringS2S.v2":0.314552198945281,"PoemSentimentClassification":0.5554761904761905,"BrazilianToxicTweetsClassification":0.257861328125,"StatcanDialogueDatasetRetrieval":0.378685,"STS17":0.8587071943485364,"NordicLangClassification":0.7322999999999998,"ArXivHierarchicalClusteringP2P":0.681929207141039,"NusaTranslationBitextMining":0.8727608050534665,"MassiveIntentClassification":0.703681605851253,"CLSClusteringP2P.v2":0.48419272227510957,"WikipediaRetrievalMultilingual":0.88971875,"SinhalaNewsClassification":0.668994140625,"StackExchangeClustering.v2":0.8026367734971261,"MasakhaNEWSClassification":0.7939616789673823,"NusaX-senti":0.6991041666666667,"CataloniaTweetClassification":0.5233751308189349,"OpusparcusPC":0.9599717595594743,"ArmenianParaphrasePC":0.9265075872104955,"KorHateSpeechMLClassification":0.0842906234658812,"WikiClusteringP2P.v2":0.3077499816043735,"AmazonCounterfactualClassification":0.8615203983213754,"ArXivHierarchicalClusteringS2S":0.6484694347666395,"NepaliNewsClassification":0.96455078125,"ArguAna":0.54565,"AILAStatutes":0.33765,"ToxicConversationsClassification":0.857373046875,"IndicGenBenchFloresBitextMining":0.90591099064847,"CSFDSKMovieReviewSentimentClassification":0.3787109375,"SiswatiNewsClassification":0.595,"CEDRClassification":0.5278427205100956,"TempReasonL1":0.02177,"BiorxivClusteringP2P.v2":0.5324389713638713,"NorwegianCourtsBitextMining":0.9342105263157895,"PunjabiNewsClassification":0.7477707006369426,"SpartQA":0.18777,"BUCC.v2":0.9871091057231139,"BornholmBitextMining":0.5016380952380952,"BibleNLPBitextMining":0.13587231117392606,"SIB200ClusteringS2S":0.3773466578510028,"RTE3":0.9078864343023099,"TERRa":0.6760965595822725,"SwahiliNewsClassification":0.635302734375,"DBpediaClassification":0.954638671875,"HagridRetrieval":0.99045,"MultiHateClassification":0.7226,"WikiCitiesClustering":0.7758436521981417,"Tatoeba":0.7351357497714069,"STS14":0.8386537189895273,"KurdishSentimentClassification":0.6804730749874183,"PpcPC":0.9402375455132708,"STSBenchmark":0.8681105691398512,"MasakhaNEWSClusteringS2S":0.49908696618175497,"MIRACLRetrievalHardNegatives":0.5158155555555556,"NTREXBitextMining":0.8402911422398943,"DalajClassification":0.5352477477477479,"SICK-R":0.7915962683643262,"NollySentiBitextMining":0.5584828382999115,"SCIDOCS":0.2348,"BelebeleRetrieval":0.775392420212766,"IsiZuluNewsClassification":0.26462765957446804,"TwitterHjerneRetrieval":0.68635,"STSB":0.8246545065922576,"STSES":0.7830337680474654,"KorSarcasmClassification":0.597265625,"WinoGrande":0.66808,"SentimentAnalysisHindi":0.6234053406046158,"RuBQReranking":0.7413167186005539,"CyrillicTurkicLangClassification":0.384033203125,"FilipinoShopeeReviewsClassification":0.38618164062500004,"STS22.v2":0.693392330957762,"RomaniBibleClustering":0.4205841107965322,"MacedonianTweetSentimentClassification":0.618700614574188,"AfriSentiClassification":0.44384189781569644,"STS12":0.7952565322917207,"LegalBenchCorporateLobbying":0.9521,"TweetTopicSingleClassification":0.7305375073833431,"MultiEURLEXMultilabelClassification":0.04686347826086957,"T2Reranking":0.6780494012637375,"GreekLegalCodeClassification":0.2267333984375,"SlovakMovieReviewSentimentClassification":0.823876953125,"FaroeseSTS":0.7247030523460988,"SwissJudgementClassification":0.5659687211360838,"TwitterURLCorpus":0.8660659275450582,"TRECCOVID":0.80374,"IndicLangClassification":0.19078506147675717,"GujaratiNewsClassification":0.8795902883156298,"ItaCaseholdClassification":0.7158371040723981,"FloresBitextMining":0.7039316876155357,"Robust04InstructionRetrieval":0.039256,"BulgarianStoreReviewSentimentClassfication":0.7291208791208791,"OdiaNewsClassification":0.8023839743091854,"TswanaNewsClassification":0.3344969199178645,"PlscClusteringP2P.v2":0.7334101190608784,"FinancialPhrasebankClassification":0.7537985865724381,"News21InstructionRetrieval":0.041129,"StackOverflowQA":0.84345,"Core17InstructionRetrieval":0.067798,"WebLINXCandidatesReranking":0.12501342884346275,"PAC":0.6631914277439908,"VoyageMMarcoReranking":0.7006085195437917,"MedrxivClusteringP2P.v2":0.49030029866366104,"GermanSTSBenchmark":0.8475471109539576,"AlloprofReranking":0.8109504605331439,"AlloProfClusteringS2S.v2":0.5750644814745391,"ScalaClassification":0.556787109375,"indonli":0.6683386443102921,"IN22GenBitextMining":0.7782830353570837,"CovidRetrieval":0.81041,"BigPatentClustering.v2":0.2879449921867366,"PawsXPairClassification":0.7523734722353675,"NusaXBitextMining":0.8050597402597401,"NusaParagraphEmotionClassification":0.4339895840019364,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.8779832630142748,"DiaBlaBitextMining":0.8514633147722919,"IndonesianIdClickbaitClassification":0.611236448842879,"XNLI":0.8570667251967983},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":24,"model":{"name":"BidirLM/BidirLM-1.7B-Embedding","url":"https://huggingface.co/BidirLM/BidirLM-1.7B-Embedding","zeroShotPct":99,"activeParamsB":1.409,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":8192.0,"releaseDate":"2026-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Kirghiz","Korean","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Marathi","Modern Greek (1453-)","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Pedi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@misc{boizard2026bidirlmtextomnimodalbidirectional,\n title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},\n author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},\n year={2026},\n eprint={2604.02045},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2604.02045},\n}","memoryUsageMb":3282.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/BidirLM/BidirLM-Contrastive","adaptedFrom":"Qwen/Qwen3-1.7B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","ATEC","AdvertiseGen","BQ","CAIL2019-SCM","CHEF","CINLID","ChatMed_Consult_Dataset","ChineseSTS","CmedqaRetrieval","Cmnli","CodeFeedback","DRCD","DuRetrieval","ELI5_custom","ESCIReranking","EmotionClassification","Expertqa","FollowIR","GooAQ","InF-IR","JW300","LCSTS","MAmmoTH2","MEDI2BGE","MIRACLRetrieval","MSMARCO","Multi-CPR","MultiLongDocReranking","NFCorpus","NaturalQuestions","OPUS-100","OpenOrca","PAQ","PubMedQA","QBQTC","RefGPT","SQuAD","SearchQA","SimCLUE","SyntheticClassificationData","T2Ranking","TED Talks","THUCNews","TriviaQA","UMETRIP-QA","WebCPM","WikiAnswers","WikiMatrix","cCOVID-News","ccnews","cmrc2018","contract-nli","csl","dureader_mrc","law-gpt","lawzhidao","lima-chinese","mmarco-chinese","mnli","nli_zh","nllb","ocnli","rag-dataset-12000","simcse_sup_nli","webgpt_comparisons","webqa","wikipedia-nq","xnli_zh","yahoo-answers"]},"zeroShotPct":99,"activeParamsB":1.409,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":8192,"meanTask":0.6354321044248626,"meanTaskType":0.5539289684128527,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.004926333333333334,"MultilabelClassification":0.2641690347826087,"Classification":0.6610901994781951,"Retrieval":0.6224154724714945,"Reranking":0.6468417777777778,"STS":0.742543392834596,"Clustering":0.518220272480058,"PairClassification":0.8023249556277056,"BitextMining":0.7228292769299052},"scoresByTask":{"SemRel24STS":0.6214246666666666,"FinParaSTS":0.23861949999999998,"PolEmo2.0-OUT":0.710931,"JSICK":0.82459,"SwednClusteringP2P":0.4928205,"MalteseNewsClassification":0.340705,"CzechProductReviewSentimentClassification":0.630859,"STS13":0.876034,"IndicCrosslingualSTS":0.43602841666666664,"SprintDuplicateQuestions":0.955383,"WikipediaRerankingMultilingual":0.8393925,"EstonianValenceClassification":0.518704,"STS15":0.89122,"MLQARetrieval":0.7344730612244897,"HALClusteringS2S.v2":0.318698,"PoemSentimentClassification":0.6607235,"BrazilianToxicTweetsClassification":0.29165,"StatcanDialogueDatasetRetrieval":0.3573625,"STS17":0.8376370909090909,"NordicLangClassification":0.700333,"ArXivHierarchicalClusteringP2P":0.647862,"NusaTranslationBitextMining":0.7875619090909091,"MassiveIntentClassification":0.6760138529411764,"CLSClusteringP2P.v2":0.453669,"WikipediaRetrievalMultilingual":0.85876375,"SinhalaNewsClassification":0.583887,"StackExchangeClustering.v2":0.686329,"MasakhaNEWSClassification":0.7903943125,"NusaX-senti":0.7021875,"CataloniaTweetClassification":0.4782855,"OpusparcusPC":0.9578023333333333,"ArmenianParaphrasePC":0.951468,"KorHateSpeechMLClassification":0.121748,"WikiClusteringP2P.v2":0.31086585714285714,"AmazonCounterfactualClassification":0.78001725,"ArXivHierarchicalClusteringS2S":0.642188,"NepaliNewsClassification":0.958496,"ArguAna":0.55721,"AILAStatutes":0.35328,"ToxicConversationsClassification":0.721338,"IndicGenBenchFloresBitextMining":0.8942359741379311,"CSFDSKMovieReviewSentimentClassification":0.425781,"SiswatiNewsClassification":0.73125,"CEDRClassification":0.51525,"TempReasonL1":0.01156,"BiorxivClusteringP2P.v2":0.460184,"NorwegianCourtsBitextMining":0.926901,"PunjabiNewsClassification":0.796815,"SpartQA":0.0616,"BUCC.v2":0.98912825,"BornholmBitextMining":0.530667,"BibleNLPBitextMining":0.15043005132850243,"SIB200ClusteringS2S":0.41772550253807106,"RTE3":0.886658,"TERRa":0.563972,"SwahiliNewsClassification":0.625391,"DBpediaClassification":0.953125,"HagridRetrieval":0.98646,"MultiHateClassification":0.6955545454545454,"WikiCitiesClustering":0.75621,"Tatoeba":0.7109822499999999,"STS14":0.851872,"KurdishSentimentClassification":0.716608,"PpcPC":0.927042,"STSBenchmark":0.87028,"MasakhaNEWSClusteringS2S":0.5307355,"MIRACLRetrievalHardNegatives":0.6610616666666667,"NTREXBitextMining":0.8232469284968684,"DalajClassification":0.498086,"SICK-R":0.802474,"NollySentiBitextMining":0.44260425,"SCIDOCS":0.22118,"BelebeleRetrieval":0.7509175265957446,"IsiZuluNewsClassification":0.267154,"TwitterHjerneRetrieval":0.77886,"STSB":0.831472,"STSES":0.756258,"KorSarcasmClassification":0.574268,"WinoGrande":0.4871,"SentimentAnalysisHindi":0.723239,"RuBQReranking":0.75563,"CyrillicTurkicLangClassification":0.703516,"FilipinoShopeeReviewsClassification":0.4087405,"STS22.v2":0.6924776111111111,"RomaniBibleClustering":0.410059,"MacedonianTweetSentimentClassification":0.625812,"AfriSentiClassification":0.4365273333333333,"STS12":0.826502,"LegalBenchCorporateLobbying":0.94365,"TweetTopicSingleClassification":0.78228,"MultiEURLEXMultilabelClassification":0.05149217391304348,"T2Reranking":0.66705,"GreekLegalCodeClassification":0.505127,"SlovakMovieReviewSentimentClassification":0.86416,"FaroeseSTS":0.671842,"SwissJudgementClassification":0.5468143333333333,"TwitterURLCorpus":0.87191,"TRECCOVID":0.82367,"IndicLangClassification":0.877566,"GujaratiNewsClassification":0.880653,"ItaCaseholdClassification":0.779638,"FloresBitextMining":0.6723022004732927,"Robust04InstructionRetrieval":-0.031028,"BulgarianStoreReviewSentimentClassfication":0.702198,"OdiaNewsClassification":0.806022,"TswanaNewsClassification":0.381725,"PlscClusteringP2P.v2":0.742843,"FinancialPhrasebankClassification":0.876723,"News21InstructionRetrieval":0.029695,"StackOverflowQA":0.93487,"Core17InstructionRetrieval":0.016112,"WebLINXCandidatesReranking":0.11909816666666667,"PAC":0.672893,"VoyageMMarcoReranking":0.68731,"MedrxivClusteringP2P.v2":0.443183,"GermanSTSBenchmark":0.851963,"AlloprofReranking":0.81257,"AlloProfClusteringS2S.v2":0.53315,"ScalaClassification":0.53063975,"indonli":0.564612,"IN22GenBitextMining":0.776897604743083,"CovidRetrieval":0.83146,"BigPatentClustering.v2":0.445002,"PawsXPairClassification":0.573508,"NusaXBitextMining":0.8114531818181819,"NusaParagraphEmotionClassification":0.5283312,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.7896965,"DiaBlaBitextMining":0.88037,"IndonesianIdClickbaitClassification":0.598071,"XNLI":0.7835226785714287},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":25,"model":{"name":"Linq-AI-Research/Linq-Embed-Mistral","url":"https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral","zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-05-29","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13563.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-mistral-7b-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.009449999999999998,"MultilabelClassification":0.24769960954581158,"Classification":0.622421414699146,"Retrieval":0.5868504247495885,"Reranking":0.6436680161377836,"Clustering":0.5059780197295368,"PairClassification":0.8043335178634308,"BitextMining":0.7033983846278391},"scoresByTask":{"SemRel24STS":0.6740269166666667,"FinParaSTS":0.189342,"PolEmo2.0-OUT":0.668623,"JSICK":0.843428,"SwednClusteringP2P":0.47210050000000003,"MalteseNewsClassification":0.369569,"CzechProductReviewSentimentClassification":0.632471,"STS13":0.8826850223126127,"IndicCrosslingualSTS":0.22255258333333336,"SprintDuplicateQuestions":0.9627527798658713,"WikipediaRerankingMultilingual":0.9013028125,"EstonianValenceClassification":0.438631,"STS15":0.9027866978947013,"MLQARetrieval":0.7046224489795918,"HALClusteringS2S.v2":0.290222,"PoemSentimentClassification":0.5587955,"BrazilianToxicTweetsClassification":0.223975,"StatcanDialogueDatasetRetrieval":0.469695,"NordicLangClassification":0.688967,"ArXivHierarchicalClusteringP2P":0.633776,"NusaTranslationBitextMining":0.7746697272727272,"MassiveIntentClassification":0.6508960294117647,"CLSClusteringP2P.v2":0.433447,"WikipediaRetrievalMultilingual":0.907656875,"SinhalaNewsClassification":0.587695,"StackExchangeClustering.v2":0.721659,"MasakhaNEWSClassification":0.7675476875,"NusaX-senti":0.7347708333333333,"CataloniaTweetClassification":0.52713875,"OpusparcusPC":0.94938925,"ArmenianParaphrasePC":0.924926,"KorHateSpeechMLClassification":0.089985,"WikiClusteringP2P.v2":0.30913050000000003,"AmazonCounterfactualClassification":0.8300365,"ArXivHierarchicalClusteringS2S":0.62165,"NepaliNewsClassification":0.944287,"ArguAna":0.69649,"AILAStatutes":0.39228,"ToxicConversationsClassification":0.7129380000000001,"IndicGenBenchFloresBitextMining":0.8575402155172414,"CSFDSKMovieReviewSentimentClassification":0.451416,"SiswatiNewsClassification":0.555,"CEDRClassification":0.515356004250797,"TempReasonL1":0.04602,"BiorxivClusteringP2P.v2":0.458864,"NorwegianCourtsBitextMining":0.937135,"PunjabiNewsClassification":0.549045,"SpartQA":0.08408,"BUCC.v2":0.9894529999999999,"BornholmBitextMining":0.555822,"BibleNLPBitextMining":0.15659647101449276,"SIB200ClusteringS2S":0.38398987817258884,"RTE3":0.88877125,"TERRa":0.6000116897438131,"SwahiliNewsClassification":0.608203,"DBpediaClassification":0.95835,"HagridRetrieval":0.98896,"MultiHateClassification":0.7272181818181819,"WikiCitiesClustering":0.899577,"Tatoeba":0.7132496696428571,"STS14":0.8449441798385489,"KurdishSentimentClassification":0.705133,"PpcPC":0.926578,"STSBenchmark":0.8880650007123052,"MasakhaNEWSClusteringS2S":0.5143464375,"MIRACLRetrievalHardNegatives":0.5533605555555555,"NTREXBitextMining":0.7804424290187891,"DalajClassification":0.507207,"SICK-R":0.8430523596401186,"NollySentiBitextMining":0.45958475,"SCIDOCS":0.21932,"BelebeleRetrieval":0.7057427659574469,"IsiZuluNewsClassification":0.269681,"TwitterHjerneRetrieval":0.40841,"STSB":0.8316334999999999,"STSES":0.78561,"KorSarcasmClassification":0.593604,"WinoGrande":0.52069,"SentimentAnalysisHindi":0.635306,"RuBQReranking":0.7684186176600346,"CyrillicTurkicLangClassification":0.674756,"FilipinoShopeeReviewsClassification":0.4232665,"STS22.v2":0.6971411666666667,"RomaniBibleClustering":0.406999,"MacedonianTweetSentimentClassification":0.533802,"AfriSentiClassification":0.44996433333333336,"STS12":0.7844413657529001,"LegalBenchCorporateLobbying":0.95379,"TweetTopicSingleClassification":0.722386,"MultiEURLEXMultilabelClassification":0.03961304347826087,"T2Reranking":0.668938,"GreekLegalCodeClassification":0.186084,"SlovakMovieReviewSentimentClassification":0.873193,"FaroeseSTS":0.800362,"SwissJudgementClassification":0.5522766666666666,"TwitterURLCorpus":0.8751158697451964,"TRECCOVID":0.8709700000000001,"IndicLangClassification":0.77151,"GujaratiNewsClassification":0.714416,"ItaCaseholdClassification":0.710407,"FloresBitextMining":0.609684093427026,"Robust04InstructionRetrieval":-0.035531,"BulgarianStoreReviewSentimentClassfication":0.804396,"OdiaNewsClassification":0.567309,"TswanaNewsClassification":0.392197,"PlscClusteringP2P.v2":0.727972,"FinancialPhrasebankClassification":0.862014,"News21InstructionRetrieval":0.017141,"StackOverflowQA":0.91709,"Core17InstructionRetrieval":0.04674,"WebLINXCandidatesReranking":0.11280566666666668,"PAC":0.675094,"VoyageMMarcoReranking":0.612351,"MedrxivClusteringP2P.v2":0.409949,"GermanSTSBenchmark":0.861437,"AlloprofReranking":0.798192,"AlloProfClusteringS2S.v2":0.563914,"ScalaClassification":0.51119375,"indonli":0.553272,"IN22GenBitextMining":0.6617717351778656,"CovidRetrieval":0.74663,"BigPatentClustering.v2":0.248052,"PawsXPairClassification":0.6050757142857143,"NusaXBitextMining":0.7815899090909091,"NusaParagraphEmotionClassification":0.43114410000000003,"LEMBPasskeyRetrieval":0.3775,"CTKFactsNLI":0.8144724999999999,"DiaBlaBitextMining":0.86664,"IndonesianIdClickbaitClassification":0.605751,"XNLI":0.7473036428571429},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":26,"model":{"name":"ICT-TIME-and-Querit/ICT-TIME-and-Querit-embedding-v1","url":"https://huggingface.co/ICT-TIME-and-Querit/ICT-TIME-and-Querit-embedding-v1","zeroShotPct":96,"activeParamsB":3.633,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2026-05-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Bengali","Chinese","English","Finnish","French","German","Hindi","Indonesian","Italian","Japanese","Korean","Persian","Russian","Spanish","Swahili (individual language)","Telugu","Thai"],"citation":"@article{zhang2026bagging,\n title={Bagging-Based Model Merging for Robust General Text Embeddings},\n author={Zhang, Hengran and Bi, Keping and Guo, Jiafeng and Zhang, Jiaming and Yang, Wenbo and Shi, Daiting and Cheng, Xueqi},\n journal={arXiv preprint arXiv:2602.05787},\n year={2026}\n}","memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AppsRetrieval","Banking77Classification","COIRCodeSearchNetRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeTransOceanContest","CodeTransOceanDL","CosQA","DuRetrieval","FEVER","HotpotQA","ImdbClassification","MIRACLRetrieval","MSMARCO","MTOPDomainClassification","MrTidyRetrieval","NQ","StackOverflowQA","SyntheticText2SQL","T2Retrieval","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":96,"activeParamsB":3.633,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":0.6378268130255059,"meanTaskType":0.5501576605300573,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.00880666666666667,"MultilabelClassification":0.25486494782608693,"Classification":0.6712455062549227,"Retrieval":0.6398634021244431,"Reranking":0.6275708611111112,"STS":0.7407452672032828,"Clustering":0.5303856563434781,"PairClassification":0.8096799004329004,"BitextMining":0.6858700701409579},"scoresByTask":{"SemRel24STS":0.6535157500000001,"FinParaSTS":0.20856550000000001,"PolEmo2.0-OUT":0.680162,"JSICK":0.818613,"SwednClusteringP2P":0.470159,"MalteseNewsClassification":0.346713,"CzechProductReviewSentimentClassification":0.63623,"STS13":0.861862,"IndicCrosslingualSTS":0.5368493333333333,"SprintDuplicateQuestions":0.964176,"WikipediaRerankingMultilingual":0.8749075,"EstonianValenceClassification":0.506112,"STS15":0.866046,"MLQARetrieval":0.7742517346938776,"HALClusteringS2S.v2":0.323516,"PoemSentimentClassification":0.6871155,"BrazilianToxicTweetsClassification":0.196875,"StatcanDialogueDatasetRetrieval":0.46021,"STS17":0.8529306363636363,"NordicLangClassification":0.653933,"ArXivHierarchicalClusteringP2P":0.650087,"NusaTranslationBitextMining":0.7708457272727273,"MassiveIntentClassification":0.6683637450980392,"CLSClusteringP2P.v2":0.441965,"WikipediaRetrievalMultilingual":0.91640875,"SinhalaNewsClassification":0.687061,"StackExchangeClustering.v2":0.725746,"MasakhaNEWSClassification":0.7943775625,"NusaX-senti":0.7256041666666667,"CataloniaTweetClassification":0.5049605,"OpusparcusPC":0.9454583333333333,"ArmenianParaphrasePC":0.94854,"KorHateSpeechMLClassification":0.234217,"WikiClusteringP2P.v2":0.2986358571428572,"AmazonCounterfactualClassification":0.891966375,"ArXivHierarchicalClusteringS2S":0.635698,"NepaliNewsClassification":0.960498,"ArguAna":0.71673,"AILAStatutes":0.46016,"ToxicConversationsClassification":0.88335,"IndicGenBenchFloresBitextMining":0.8836703620689655,"CSFDSKMovieReviewSentimentClassification":0.494434,"SiswatiNewsClassification":0.49125,"CEDRClassification":0.447078,"TempReasonL1":0.00854,"BiorxivClusteringP2P.v2":0.522749,"NorwegianCourtsBitextMining":0.932018,"PunjabiNewsClassification":0.841401,"SpartQA":0.10608,"BUCC.v2":0.98895225,"BornholmBitextMining":0.47979,"BibleNLPBitextMining":0.11837455555555557,"SIB200ClusteringS2S":0.38542045685279186,"RTE3":0.8914610000000001,"TERRa":0.574927,"SwahiliNewsClassification":0.636377,"DBpediaClassification":0.923779,"HagridRetrieval":0.9893,"MultiHateClassification":0.6896636363636364,"WikiCitiesClustering":0.906378,"Tatoeba":0.6802040803571429,"STS14":0.786946,"KurdishSentimentClassification":0.727781,"PpcPC":0.918139,"STSBenchmark":0.860561,"MasakhaNEWSClusteringS2S":0.4958411875,"MIRACLRetrievalHardNegatives":0.6527533333333334,"NTREXBitextMining":0.7877296649269312,"DalajClassification":0.500113,"SICK-R":0.800527,"NollySentiBitextMining":0.35496875,"SCIDOCS":0.26645,"BelebeleRetrieval":0.772067420212766,"IsiZuluNewsClassification":0.240957,"TwitterHjerneRetrieval":0.75668,"STSB":0.8028474999999999,"STSES":0.789232,"KorSarcasmClassification":0.762842,"WinoGrande":0.31169,"SentimentAnalysisHindi":0.745913,"RuBQReranking":0.66322,"CyrillicTurkicLangClassification":0.698047,"FilipinoShopeeReviewsClassification":0.45031750000000004,"STS22.v2":0.6831680555555555,"RomaniBibleClustering":0.432701,"MacedonianTweetSentimentClassification":0.644776,"AfriSentiClassification":0.44986575,"STS12":0.76155,"LegalBenchCorporateLobbying":0.94846,"TweetTopicSingleClassification":0.779209,"MultiEURLEXMultilabelClassification":0.04944173913043478,"T2Reranking":0.6483,"GreekLegalCodeClassification":0.3970945,"SlovakMovieReviewSentimentClassification":0.90376,"FaroeseSTS":0.750418,"SwissJudgementClassification":0.5730773333333333,"TwitterURLCorpus":0.873195,"TRECCOVID":0.77046,"IndicLangClassification":0.808068,"GujaratiNewsClassification":0.900303,"ItaCaseholdClassification":0.704977,"FloresBitextMining":0.59375587935864,"Robust04InstructionRetrieval":-0.076673,"BulgarianStoreReviewSentimentClassfication":0.781868,"OdiaNewsClassification":0.87916,"TswanaNewsClassification":0.32423,"PlscClusteringP2P.v2":0.746272,"FinancialPhrasebankClassification":0.910689,"News21InstructionRetrieval":0.000986,"StackOverflowQA":0.95786,"Core17InstructionRetrieval":0.049267,"WebLINXCandidatesReranking":0.16791766666666666,"PAC":0.706313,"VoyageMMarcoReranking":0.61414,"MedrxivClusteringP2P.v2":0.440271,"GermanSTSBenchmark":0.8182925,"AlloprofReranking":0.79694,"AlloProfClusteringS2S.v2":0.591168,"ScalaClassification":0.5034665,"indonli":0.577512,"IN22GenBitextMining":0.7692260059288538,"CovidRetrieval":0.79944,"BigPatentClustering.v2":0.419563,"PawsXPairClassification":0.5707218571428572,"NusaXBitextMining":0.7030506363636364,"NusaParagraphEmotionClassification":0.5031317,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.835466,"DiaBlaBitextMining":0.853725,"IndonesianIdClickbaitClassification":0.610959,"XNLI":0.8068827142857142},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MIRACLRetrievalHardNegatives","StackOverflowQA","ToxicConversationsClassification"],"experiments":null},{"rank":27,"model":{"name":"intfloat/multilingual-e5-large-instruct","url":"https://huggingface.co/intfloat/multilingual-e5-large-instruct","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"@article{wang2024multilingual,\n title={Multilingual E5 Text Embeddings: A Technical Report},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2402.05672},\n year={2024}\n }","memoryUsageMb":1068.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":0.6321803081443147,"meanTaskType":0.5508351261378083,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.003993032447339658,"MultilabelClassification":0.2297405708394737,"Classification":0.649409808459209,"Retrieval":0.5711357853902987,"Reranking":0.6260244546722679,"STS":0.7681467082456619,"Clustering":0.5074454001117068,"PairClassification":0.8083367360349741,"BitextMining":0.801269703934022},"scoresByTask":{"SemRel24STS":0.6917308958236403,"FinParaSTS":0.25615327512474306,"PolEmo2.0-OUT":0.5696356275303643,"JSICK":0.8255017107192334,"SwednClusteringP2P":0.47559622454366446,"MalteseNewsClassification":0.29029168480626905,"CzechProductReviewSentimentClassification":0.60654296875,"STS13":0.8805498843767127,"IndicCrosslingualSTS":0.5368853300825269,"SprintDuplicateQuestions":0.921893142357913,"WikipediaRerankingMultilingual":0.9096414682539683,"EstonianValenceClassification":0.49095354523227386,"STS15":0.9102208309425296,"MLQARetrieval":0.7616448979591837,"HALClusteringS2S.v2":0.30071654993285046,"PoemSentimentClassification":0.5708333333333333,"BrazilianToxicTweetsClassification":0.201221,"StatcanDialogueDatasetRetrieval":0.3367,"STS17":0.8596897124958758,"NordicLangClassification":0.7657,"ArXivHierarchicalClusteringP2P":0.62534993503603,"NusaTranslationBitextMining":0.8507410091848311,"MassiveIntentClassification":0.6276247254901961,"CLSClusteringP2P.v2":0.4240111865680486,"WikipediaRetrievalMultilingual":0.915375625,"SinhalaNewsClassification":0.780419921875,"StackExchangeClustering.v2":0.5996877429544218,"MasakhaNEWSClassification":0.8044986875,"NusaX-senti":0.70975,"CataloniaTweetClassification":0.51035,"OpusparcusPC":0.9546305317773708,"ArmenianParaphrasePC":0.9595589691755348,"KorHateSpeechMLClassification":0.10211094747177221,"WikiClusteringP2P.v2":0.31450801211002777,"AmazonCounterfactualClassification":0.6860635595543068,"ArXivHierarchicalClusteringS2S":0.6128405793014597,"NepaliNewsClassification":0.969873046875,"ArguAna":0.58476,"AILAStatutes":0.29659,"ToxicConversationsClassification":0.6681640625,"IndicGenBenchFloresBitextMining":0.9111262223334274,"CSFDSKMovieReviewSentimentClassification":0.4302734375,"SiswatiNewsClassification":0.475,"CEDRClassification":0.5000531349628055,"TempReasonL1":0.01197,"BiorxivClusteringP2P.v2":0.42746422233601206,"NorwegianCourtsBitextMining":0.9349415204678363,"PunjabiNewsClassification":0.8439490445859873,"SpartQA":0.13537,"BUCC.v2":0.9895291237745646,"BornholmBitextMining":0.5541666666666667,"BibleNLPBitextMining":0.22027836813106355,"SIB200ClusteringS2S":0.4709087664974619,"RTE3":0.8791727578123854,"TERRa":0.6388924936160191,"SwahiliNewsClassification":0.59111328125,"DBpediaClassification":0.954638671875,"HagridRetrieval":0.98678,"MultiHateClassification":0.6474454545454545,"WikiCitiesClustering":0.7622072269296974,"Tatoeba":0.8373624107142856,"STS14":0.8482883151106293,"KurdishSentimentClassification":0.8087569199798692,"PpcPC":0.934504745022352,"STSBenchmark":0.8839290178655834,"MasakhaNEWSClusteringS2S":0.5923322751599159,"MIRACLRetrievalHardNegatives":0.5771855555555556,"NTREXBitextMining":0.9367549966537496,"DalajClassification":0.5000000000000001,"SICK-R":0.8173085443529001,"NollySentiBitextMining":0.8071080139372823,"SCIDOCS":0.19238,"BelebeleRetrieval":0.8091880585106382,"IsiZuluNewsClassification":0.37340425531914895,"TwitterHjerneRetrieval":0.36855,"STSB":0.8309800997629713,"STSES":0.7707534827243024,"KorSarcasmClassification":0.581982421875,"WinoGrande":0.54272,"SentimentAnalysisHindi":0.5955430304148033,"RuBQReranking":0.716591133500063,"CyrillicTurkicLangClassification":0.8107421875,"FilipinoShopeeReviewsClassification":0.4075927734375,"STS22.v2":0.6895046564954582,"RomaniBibleClustering":0.4086754591167735,"MacedonianTweetSentimentClassification":0.6670763827919226,"AfriSentiClassification":0.4538743185721043,"STS12":0.8252836101249812,"LegalBenchCorporateLobbying":0.9425,"TweetTopicSingleClassification":0.7487891317188422,"MultiEURLEXMultilabelClassification":0.05502608695652174,"T2Reranking":0.6712059871450872,"GreekLegalCodeClassification":0.3228271484375,"SlovakMovieReviewSentimentClassification":0.875048828125,"FaroeseSTS":0.8043799892800864,"SwissJudgementClassification":0.5546189493501322,"TwitterURLCorpus":0.8673195968908498,"TRECCOVID":0.82509,"IndicLangClassification":0.8626569794200802,"GujaratiNewsClassification":0.8751896813353566,"ItaCaseholdClassification":0.6294117647058824,"FloresBitextMining":0.8596172923065778,"Robust04InstructionRetrieval":-0.04522163145770205,"BulgarianStoreReviewSentimentClassfication":0.7862637362637362,"OdiaNewsClassification":0.8453064922708904,"TswanaNewsClassification":0.46365503080082143,"PlscClusteringP2P.v2":0.7273714261252685,"FinancialPhrasebankClassification":0.844434628975265,"News21InstructionRetrieval":0.015037942951097161,"StackOverflowQA":0.85816,"Core17InstructionRetrieval":0.018204591164585913,"WebLINXCandidatesReranking":0.08709846529573541,"PAC":0.656849116710107,"VoyageMMarcoReranking":0.6248323780301285,"MedrxivClusteringP2P.v2":0.3809242836891137,"GermanSTSBenchmark":0.8591879766484157,"AlloprofReranking":0.7467772958086248,"AlloProfClusteringS2S.v2":0.5646565482025169,"ScalaClassification":0.50364990234375,"indonli":0.5617010158935305,"IN22GenBitextMining":0.7888523646095448,"CovidRetrieval":0.75798,"BigPatentClustering.v2":0.4318759632840442,"PawsXPairClassification":0.5562179745097441,"NusaXBitextMining":0.8528844036237085,"NusaParagraphEmotionClassification":0.44086054444686473,"LEMBPasskeyRetrieval":0.3775,"CTKFactsNLI":0.8262079764718732,"DiaBlaBitextMining":0.8731437587387483,"IndonesianIdClickbaitClassification":0.6132581705544956,"XNLI":0.791604892857143},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":28,"model":{"name":"BidirLM/BidirLM-1B-Embedding","url":"https://huggingface.co/BidirLM/BidirLM-1B-Embedding","zeroShotPct":99,"activeParamsB":0.698,"totalParamsB":1.0,"embeddingDim":1152,"maxTokens":32768.0,"releaseDate":"2026-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Kirghiz","Korean","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Marathi","Modern Greek (1453-)","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Pedi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@misc{boizard2026bidirlmtextomnimodalbidirectional,\n title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},\n author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},\n year={2026},\n eprint={2604.02045},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2604.02045},\n}","memoryUsageMb":1907.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/BidirLM/BidirLM-Contrastive","adaptedFrom":"google/gemma-3-1b-it","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","ATEC","AdvertiseGen","BQ","CAIL2019-SCM","CHEF","CINLID","ChatMed_Consult_Dataset","ChineseSTS","CmedqaRetrieval","Cmnli","CodeFeedback","DRCD","DuRetrieval","ELI5_custom","ESCIReranking","EmotionClassification","Expertqa","FollowIR","GooAQ","InF-IR","JW300","LCSTS","MAmmoTH2","MEDI2BGE","MIRACLRetrieval","MSMARCO","Multi-CPR","MultiLongDocReranking","NFCorpus","NaturalQuestions","OPUS-100","OpenOrca","PAQ","PubMedQA","QBQTC","RefGPT","SQuAD","SearchQA","SimCLUE","SyntheticClassificationData","T2Ranking","TED Talks","THUCNews","TriviaQA","UMETRIP-QA","WebCPM","WikiAnswers","WikiMatrix","cCOVID-News","ccnews","cmrc2018","contract-nli","csl","dureader_mrc","law-gpt","lawzhidao","lima-chinese","mmarco-chinese","mnli","nli_zh","nllb","ocnli","rag-dataset-12000","simcse_sup_nli","webgpt_comparisons","webqa","wikipedia-nq","xnli_zh","yahoo-answers"]},"zeroShotPct":99,"activeParamsB":0.698,"totalParamsB":1.0,"embeddingDim":1152,"maxTokens":32768,"meanTask":0.6321145209547717,"meanTaskType":0.5484493458987845,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.002168,"MultilabelClassification":0.25150665217391305,"Classification":0.6621744674848692,"Retrieval":0.6160833544879734,"Reranking":0.6371424236111111,"STS":0.7452079659090909,"Clustering":0.5004062391395485,"PairClassification":0.7968472272727273,"BitextMining":0.7288437830098269},"scoresByTask":{"SemRel24STS":0.6512855833333333,"FinParaSTS":0.24609399999999998,"PolEmo2.0-OUT":0.715789,"JSICK":0.821398,"SwednClusteringP2P":0.412854,"MalteseNewsClassification":0.316282,"CzechProductReviewSentimentClassification":0.62959,"STS13":0.877795,"IndicCrosslingualSTS":0.48362208333333334,"SprintDuplicateQuestions":0.951494,"WikipediaRerankingMultilingual":0.842271875,"EstonianValenceClassification":0.509535,"STS15":0.891087,"MLQARetrieval":0.7276528571428571,"HALClusteringS2S.v2":0.324164,"PoemSentimentClassification":0.609098,"BrazilianToxicTweetsClassification":0.22876,"StatcanDialogueDatasetRetrieval":0.301715,"STS17":0.8357254545454545,"NordicLangClassification":0.7661,"ArXivHierarchicalClusteringP2P":0.658565,"NusaTranslationBitextMining":0.7739196363636364,"MassiveIntentClassification":0.6731898431372548,"CLSClusteringP2P.v2":0.434122,"WikipediaRetrievalMultilingual":0.85939875,"SinhalaNewsClassification":0.764111,"StackExchangeClustering.v2":0.634838,"MasakhaNEWSClassification":0.8000848125,"NusaX-senti":0.7030208333333333,"CataloniaTweetClassification":0.493877,"OpusparcusPC":0.95539525,"ArmenianParaphrasePC":0.955989,"KorHateSpeechMLClassification":0.161954,"WikiClusteringP2P.v2":0.2957986428571429,"AmazonCounterfactualClassification":0.772548125,"ArXivHierarchicalClusteringS2S":0.601575,"NepaliNewsClassification":0.970898,"ArguAna":0.53869,"AILAStatutes":0.34864,"ToxicConversationsClassification":0.696484,"IndicGenBenchFloresBitextMining":0.8956317155172413,"CSFDSKMovieReviewSentimentClassification":0.414941,"SiswatiNewsClassification":0.74125,"CEDRClassification":0.502179,"TempReasonL1":0.01165,"BiorxivClusteringP2P.v2":0.440745,"NorwegianCourtsBitextMining":0.924708,"PunjabiNewsClassification":0.802548,"SpartQA":0.01291,"BUCC.v2":0.9892185,"BornholmBitextMining":0.480676,"BibleNLPBitextMining":0.152160547705314,"SIB200ClusteringS2S":0.4193935583756345,"RTE3":0.873317,"TERRa":0.567637,"SwahiliNewsClassification":0.638135,"DBpediaClassification":0.951221,"HagridRetrieval":0.98707,"MultiHateClassification":0.6899454545454545,"WikiCitiesClustering":0.784485,"Tatoeba":0.7375185892857142,"STS14":0.84469,"KurdishSentimentClassification":0.733216,"PpcPC":0.919279,"STSBenchmark":0.863069,"MasakhaNEWSClusteringS2S":0.573370625,"MIRACLRetrievalHardNegatives":0.6561505555555556,"NTREXBitextMining":0.8689591393528184,"DalajClassification":0.50259,"SICK-R":0.807345,"NollySentiBitextMining":0.50258875,"SCIDOCS":0.20999,"BelebeleRetrieval":0.7652732180851064,"IsiZuluNewsClassification":0.278324,"TwitterHjerneRetrieval":0.79153,"STSB":0.8212010000000001,"STSES":0.74677,"KorSarcasmClassification":0.584961,"WinoGrande":0.43449,"SentimentAnalysisHindi":0.718048,"RuBQReranking":0.74387,"CyrillicTurkicLangClassification":0.766309,"FilipinoShopeeReviewsClassification":0.420581,"STS22.v2":0.6820653333333334,"RomaniBibleClustering":0.411104,"MacedonianTweetSentimentClassification":0.637489,"AfriSentiClassification":0.4767460833333333,"STS12":0.820587,"LegalBenchCorporateLobbying":0.9249,"TweetTopicSingleClassification":0.789309,"MultiEURLEXMultilabelClassification":0.04835826086956521,"T2Reranking":0.6665,"GreekLegalCodeClassification":0.49313949999999995,"SlovakMovieReviewSentimentClassification":0.861865,"FaroeseSTS":0.692159,"SwissJudgementClassification":0.548542,"TwitterURLCorpus":0.872407,"TRECCOVID":0.82314,"IndicLangClassification":0.858469,"GujaratiNewsClassification":0.879818,"ItaCaseholdClassification":0.70905,"FloresBitextMining":0.6986152633536172,"Robust04InstructionRetrieval":-0.029962,"BulgarianStoreReviewSentimentClassfication":0.687363,"OdiaNewsClassification":0.66693,"TswanaNewsClassification":0.342094,"PlscClusteringP2P.v2":0.728,"FinancialPhrasebankClassification":0.86462,"News21InstructionRetrieval":0.012787,"StackOverflowQA":0.89825,"Core17InstructionRetrieval":0.010671,"WebLINXCandidatesReranking":0.09888266666666667,"PAC":0.689429,"VoyageMMarcoReranking":0.67788,"MedrxivClusteringP2P.v2":0.415562,"GermanSTSBenchmark":0.838434,"AlloprofReranking":0.79345,"AlloProfClusteringS2S.v2":0.527256,"ScalaClassification":0.5231567500000001,"indonli":0.542707,"IN22GenBitextMining":0.7694567648221344,"CovidRetrieval":0.80805,"BigPatentClustering.v2":0.344667,"PawsXPairClassification":0.5604958571428572,"NusaXBitextMining":0.8060162727272728,"NusaParagraphEmotionClassification":0.5052847,"LEMBPasskeyRetrieval":0.99,"CTKFactsNLI":0.7958695,"DiaBlaBitextMining":0.8755,"IndonesianIdClickbaitClassification":0.593802,"XNLI":0.7707288928571429},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":29,"model":{"name":"ICT-TIME-and-Querit/BOOM_4B_v1","url":"https://huggingface.co/ICT-TIME-and-Querit/BOOM_4B_v1","zeroShotPct":97,"activeParamsB":3.633,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2026-01-31","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Bengali","Chinese","English","Finnish","French","German","Hindi","Indonesian","Italian","Japanese","Korean","Persian","Russian","Spanish","Swahili (individual language)","Telugu","Thai"],"citation":"@article{zhang2026bagging,\n title={Bagging-Based Model Merging for Robust General Text Embeddings},\n author={Zhang, Hengran and Bi, Keping and Guo, Jiafeng and Zhang, Jiaming and Yang, Wenbo and Shi, Daiting and Cheng, Xueqi},\n journal={arXiv preprint arXiv:2602.05787},\n year={2026}\n}","memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","Banking77Classification","DuRetrieval","FEVER","HotpotQA","ImdbClassification","MIRACLRetrieval","MSMARCO","MTOPDomainClassification","MrTidyRetrieval","NQ","T2Retrieval","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":97,"activeParamsB":3.633,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":0.6351634487309059,"meanTaskType":0.5480852246903186,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.005482000000000001,"MultilabelClassification":0.25414642608695653,"Classification":0.6694181807268996,"Retrieval":0.6220803669797311,"Reranking":0.6188365763888889,"STS":0.7440086150568181,"Clustering":0.5280494945697742,"PairClassification":0.8092368235930736,"BitextMining":0.6924725388107252},"scoresByTask":{"SemRel24STS":0.6490451666666667,"FinParaSTS":0.2199305,"PolEmo2.0-OUT":0.68664,"JSICK":0.825712,"SwednClusteringP2P":0.4691075,"MalteseNewsClassification":0.327819,"CzechProductReviewSentimentClassification":0.637207,"STS13":0.866784,"IndicCrosslingualSTS":0.53371925,"SprintDuplicateQuestions":0.962493,"WikipediaRerankingMultilingual":0.872143125,"EstonianValenceClassification":0.492054,"STS15":0.871027,"MLQARetrieval":0.7725994897959183,"HALClusteringS2S.v2":0.317611,"PoemSentimentClassification":0.6670285,"BrazilianToxicTweetsClassification":0.198682,"StatcanDialogueDatasetRetrieval":0.4937,"STS17":0.8488310909090909,"NordicLangClassification":0.651367,"ArXivHierarchicalClusteringP2P":0.6466,"NusaTranslationBitextMining":0.7761112727272728,"MassiveIntentClassification":0.6701578235294118,"CLSClusteringP2P.v2":0.435318,"WikipediaRetrievalMultilingual":0.90985625,"SinhalaNewsClassification":0.683984,"StackExchangeClustering.v2":0.728621,"MasakhaNEWSClassification":0.78279275,"NusaX-senti":0.7222916666666667,"CataloniaTweetClassification":0.49986549999999996,"OpusparcusPC":0.9449324166666666,"ArmenianParaphrasePC":0.948063,"KorHateSpeechMLClassification":0.247079,"WikiClusteringP2P.v2":0.29515457142857143,"AmazonCounterfactualClassification":0.896566875,"ArXivHierarchicalClusteringS2S":0.646988,"NepaliNewsClassification":0.956299,"ArguAna":0.57925,"AILAStatutes":0.3917,"ToxicConversationsClassification":0.888574,"IndicGenBenchFloresBitextMining":0.8842977672413793,"CSFDSKMovieReviewSentimentClassification":0.486475,"SiswatiNewsClassification":0.48375,"CEDRClassification":0.448353,"TempReasonL1":0.01005,"BiorxivClusteringP2P.v2":0.52661,"NorwegianCourtsBitextMining":0.928363,"PunjabiNewsClassification":0.847134,"SpartQA":0.07167,"BUCC.v2":0.9886285,"BornholmBitextMining":0.549058,"BibleNLPBitextMining":0.12116699818840579,"SIB200ClusteringS2S":0.38203027918781723,"RTE3":0.891826,"TERRa":0.576295,"SwahiliNewsClassification":0.658838,"DBpediaClassification":0.911328,"HagridRetrieval":0.9893,"MultiHateClassification":0.6809272727272727,"WikiCitiesClustering":0.899384,"Tatoeba":0.6802453660714286,"STS14":0.793612,"KurdishSentimentClassification":0.721741,"PpcPC":0.919168,"STSBenchmark":0.869882,"MasakhaNEWSClusteringS2S":0.5073005625,"MIRACLRetrievalHardNegatives":0.6559322222222222,"NTREXBitextMining":0.7869084514613779,"DalajClassification":0.499324,"SICK-R":0.799824,"NollySentiBitextMining":0.35978725,"SCIDOCS":0.1106,"BelebeleRetrieval":0.7727886436170213,"IsiZuluNewsClassification":0.23484,"TwitterHjerneRetrieval":0.75323,"STSB":0.8128015,"STSES":0.789407,"KorSarcasmClassification":0.819043,"WinoGrande":0.32651,"SentimentAnalysisHindi":0.752141,"RuBQReranking":0.66742,"CyrillicTurkicLangClassification":0.673389,"FilipinoShopeeReviewsClassification":0.447827,"STS22.v2":0.6730108333333333,"RomaniBibleClustering":0.41392,"MacedonianTweetSentimentClassification":0.642932,"AfriSentiClassification":0.444618,"STS12":0.774342,"LegalBenchCorporateLobbying":0.94483,"TweetTopicSingleClassification":0.779268,"MultiEURLEXMultilabelClassification":0.04879913043478261,"T2Reranking":0.64941,"GreekLegalCodeClassification":0.35822750000000003,"SlovakMovieReviewSentimentClassification":0.903223,"FaroeseSTS":0.751138,"SwissJudgementClassification":0.5615543333333334,"TwitterURLCorpus":0.871519,"TRECCOVID":0.8306,"IndicLangClassification":0.813775,"GujaratiNewsClassification":0.899848,"ItaCaseholdClassification":0.721719,"FloresBitextMining":0.5954414008258475,"Robust04InstructionRetrieval":-0.057076,"BulgarianStoreReviewSentimentClassfication":0.790659,"OdiaNewsClassification":0.874005,"TswanaNewsClassification":0.320534,"PlscClusteringP2P.v2":0.747716,"FinancialPhrasebankClassification":0.911617,"News21InstructionRetrieval":-0.006314,"StackOverflowQA":0.93418,"Core17InstructionRetrieval":0.046944,"WebLINXCandidatesReranking":0.14436633333333335,"PAC":0.70863,"VoyageMMarcoReranking":0.59834,"MedrxivClusteringP2P.v2":0.434389,"GermanSTSBenchmark":0.8250715,"AlloprofReranking":0.78134,"AlloProfClusteringS2S.v2":0.591679,"ScalaClassification":0.5032227499999999,"indonli":0.576368,"IN22GenBitextMining":0.7681246343873518,"CovidRetrieval":0.80065,"BigPatentClustering.v2":0.406363,"PawsXPairClassification":0.5732337142857142,"NusaXBitextMining":0.7120983636363637,"NusaParagraphEmotionClassification":0.4976388,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.8325435000000001,"DiaBlaBitextMining":0.851912,"IndonesianIdClickbaitClassification":0.601925,"XNLI":0.8051634285714285},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MIRACLRetrievalHardNegatives","ToxicConversationsClassification"],"experiments":null},{"rank":30,"model":{"name":"codefuse-ai/F2LLM-v2-0.6B","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-0.6B","zeroShotPct":88,"activeParamsB":0.441,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":2274.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":0.441,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960,"meanTask":0.6273592072520593,"meanTaskType":0.5501878509896037,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.013864333333333334,"MultilabelClassification":0.2522665565217391,"Classification":0.6406213244673132,"Retrieval":0.5929827331064419,"Reranking":0.6513787847222222,"STS":0.7422241884469697,"Clustering":0.5657670402833801,"PairClassification":0.7895111114718614,"BitextMining":0.7030745865531716},"scoresByTask":{"SemRel24STS":0.6472025,"FinParaSTS":0.1907005,"PolEmo2.0-OUT":0.655061,"JSICK":0.837306,"SwednClusteringP2P":0.50939,"MalteseNewsClassification":0.354071,"CzechProductReviewSentimentClassification":0.613086,"STS13":0.868571,"IndicCrosslingualSTS":0.4005823333333334,"SprintDuplicateQuestions":0.95459,"WikipediaRerankingMultilingual":0.877336875,"EstonianValenceClassification":0.428484,"STS15":0.888497,"MLQARetrieval":0.7238613265306123,"HALClusteringS2S.v2":0.277037,"PoemSentimentClassification":0.642651,"BrazilianToxicTweetsClassification":0.228271,"StatcanDialogueDatasetRetrieval":0.3203625,"STS17":0.8335941818181819,"NordicLangClassification":0.648667,"ArXivHierarchicalClusteringP2P":0.651293,"NusaTranslationBitextMining":0.7723251818181819,"MassiveIntentClassification":0.8074108725490196,"CLSClusteringP2P.v2":0.721209,"WikipediaRetrievalMultilingual":0.8824175,"SinhalaNewsClassification":0.685059,"StackExchangeClustering.v2":0.74465,"MasakhaNEWSClassification":0.7661565,"NusaX-senti":0.6733333333333333,"CataloniaTweetClassification":0.491208,"OpusparcusPC":0.9395580833333333,"ArmenianParaphrasePC":0.940327,"KorHateSpeechMLClassification":0.09514,"WikiClusteringP2P.v2":0.2780467857142857,"AmazonCounterfactualClassification":0.905254375,"ArXivHierarchicalClusteringS2S":0.632984,"NepaliNewsClassification":0.948633,"ArguAna":0.59252,"AILAStatutes":0.31888,"ToxicConversationsClassification":0.904541,"IndicGenBenchFloresBitextMining":0.8957494568965517,"CSFDSKMovieReviewSentimentClassification":0.389209,"SiswatiNewsClassification":0.61875,"CEDRClassification":0.540436,"TempReasonL1":0.01329,"BiorxivClusteringP2P.v2":0.610184,"NorwegianCourtsBitextMining":0.92617,"PunjabiNewsClassification":0.76879,"SpartQA":0.14772,"BUCC.v2":0.98911975,"BornholmBitextMining":0.456573,"BibleNLPBitextMining":0.1657646231884058,"SIB200ClusteringS2S":0.7218474213197971,"RTE3":0.87096,"TERRa":0.584581,"SwahiliNewsClassification":0.639209,"DBpediaClassification":0.865967,"HagridRetrieval":0.98841,"MultiHateClassification":0.6256454545454546,"WikiCitiesClustering":0.899691,"Tatoeba":0.6557567678571428,"STS14":0.840933,"KurdishSentimentClassification":0.660896,"PpcPC":0.892381,"STSBenchmark":0.876024,"MasakhaNEWSClusteringS2S":0.4765284375,"MIRACLRetrievalHardNegatives":0.5962905555555555,"NTREXBitextMining":0.8164817437369519,"DalajClassification":0.502365,"SICK-R":0.797163,"NollySentiBitextMining":0.46172925,"SCIDOCS":0.22189,"BelebeleRetrieval":0.7266673138297872,"IsiZuluNewsClassification":0.263564,"TwitterHjerneRetrieval":0.71348,"STSB":0.8309584999999999,"STSES":0.808297,"KorSarcasmClassification":0.562256,"WinoGrande":0.44343,"SentimentAnalysisHindi":0.707036,"RuBQReranking":0.71524,"CyrillicTurkicLangClassification":0.723975,"FilipinoShopeeReviewsClassification":0.382715,"STS22.v2":0.6964535000000001,"RomaniBibleClustering":0.411835,"MacedonianTweetSentimentClassification":0.522827,"AfriSentiClassification":0.43493224999999996,"STS12":0.819757,"LegalBenchCorporateLobbying":0.94758,"TweetTopicSingleClassification":0.771648,"MultiEURLEXMultilabelClassification":0.04341478260869565,"T2Reranking":0.67003,"GreekLegalCodeClassification":0.24367650000000002,"SlovakMovieReviewSentimentClassification":0.825732,"FaroeseSTS":0.703516,"SwissJudgementClassification":0.5597636666666667,"TwitterURLCorpus":0.866655,"TRECCOVID":0.49821,"IndicLangClassification":0.854231,"GujaratiNewsClassification":0.838619,"ItaCaseholdClassification":0.621719,"FloresBitextMining":0.6293016935912297,"Robust04InstructionRetrieval":0.013568,"BulgarianStoreReviewSentimentClassfication":0.737912,"OdiaNewsClassification":0.750635,"TswanaNewsClassification":0.275975,"PlscClusteringP2P.v2":0.724281,"FinancialPhrasebankClassification":0.851148,"News21InstructionRetrieval":0.010592,"StackOverflowQA":0.94347,"Core17InstructionRetrieval":0.017433,"WebLINXCandidatesReranking":0.13609583333333333,"PAC":0.65097,"VoyageMMarcoReranking":0.72571,"MedrxivClusteringP2P.v2":0.506028,"GermanSTSBenchmark":0.8360315,"AlloprofReranking":0.78386,"AlloProfClusteringS2S.v2":0.47361,"ScalaClassification":0.6855835,"indonli":0.53492,"IN22GenBitextMining":0.7446074308300396,"CovidRetrieval":0.77271,"BigPatentClustering.v2":0.413658,"PawsXPairClassification":0.5988825,"NusaXBitextMining":0.7639147272727272,"NusaParagraphEmotionClassification":0.42648650000000005,"LEMBPasskeyRetrieval":0.8225,"CTKFactsNLI":0.759324,"DiaBlaBitextMining":0.862476,"IndonesianIdClickbaitClassification":0.614936,"XNLI":0.7424436428571429},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":31,"model":{"name":"google/embeddinggemma-300m","url":"https://ai.google.dev/gemma/docs/embeddinggemma/model_card","zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.308,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2025-09-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Bengali","Chinese","Chinese (Traditional)","English","Finnish","French","German","Hindi","Indonesian","Iranian Persian","Japanese","Korean","Russian","Spanish","Standard Arabic","Swahili (individual language)","Telugu","Thai","Yoruba"],"citation":"\n@misc{vera2025embeddinggemmapowerfullightweighttext,\n title={EmbeddingGemma: Powerful and Lightweight Text Representations},\n author={Henrique Schechter Vera and Sahil Dua and Biao Zhang and Daniel Salz and Ryan Mullins and Sindhu Raghuram Panyam and Sara Smoot and Iftekhar Naim and Joe Zou and Feiyang Chen and Daniel Cer and Alice Lisak and Min Choi and Lucas Gonzalez and Omar Sanseviero and Glenn Cameron and Ian Ballantyne and Kat Black and Kaifeng Chen and Weiyi Wang and Zhe Li and Gus Martins and Jinhyuk Lee and Mark Sherwood and Juyeong Ji and Renjie Wu and Jingxiao Zheng and Jyotinder Singh and Abheesht Sharma and Divyashree Sreepathihalli and Aashi Jain and Adham Elarabawy and AJ Co and Andreas Doumanoglou and Babak Samari and Ben Hora and Brian Potetz and Dahun Kim and Enrique Alfonseca and Fedor Moiseev and Feng Han and Frank Palma Gomez and Gustavo Hernández Ábrego and Hesen Zhang and Hui Hui and Jay Han and Karan Gill and Ke Chen and Koert Chen and Madhuri Shanbhogue and Michael Boratko and Paul Suganthan and Sai Meher Karthik Duddu and Sandeep Mariserla and Setareh Ariafar and Shanfeng Zhang and Shijie Zhang and Simon Baumgartner and Sonam Goenka and Steve Qiu and Tanmaya Dabral and Trevor Walker and Vikram Rao and Waleed Khawaja and Wenlei Zhou and Xiaoqi Ren and Ye Xia and Yichang Chen and Yi-Ting Chen and Zhe Dong and Zhongli Ding and Francesco Visin and Gaël Liu and Jiageng Zhang and Kathleen Kenealy and Michelle Casbon and Ravin Kumar and Thomas Mesnard and Zach Gleicher and Cormac Brick and Olivier Lacombe and Adam Roberts and Qin Yin and Yunhsuan Sung and Raphael Hoffmann and Tris Warkentin and Armand Joulin and Tom Duerig and Mojtaba Seyedhosseini},\n year={2025},\n eprint={2509.20354},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2509.20354},\n}","memoryUsageMb":1155.0,"license":"gemma","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["embeddinggemma"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.308,"embeddingDim":768,"maxTokens":2048,"meanTask":0.6114397901302271,"meanTaskType":0.5428571907369945,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05607066666666668,"MultilabelClassification":0.24657341739130434,"Classification":0.6089934209001783,"Retrieval":0.6248543572711787,"Reranking":0.6322154861111111,"STS":0.7473321186868687,"Clustering":0.5116646908028916,"PairClassification":0.8139706212121212,"BitextMining":0.64403993759063},"scoresByTask":{"SemRel24STS":0.6522101666666666,"FinParaSTS":0.25224650000000004,"PolEmo2.0-OUT":0.627733,"JSICK":0.843984,"SwednClusteringP2P":0.40037,"MalteseNewsClassification":0.330823,"CzechProductReviewSentimentClassification":0.586279,"STS13":0.864161,"IndicCrosslingualSTS":0.4306836666666667,"SprintDuplicateQuestions":0.970258,"WikipediaRerankingMultilingual":0.89683175,"EstonianValenceClassification":0.382885,"STS15":0.893485,"MLQARetrieval":0.7894633673469389,"HALClusteringS2S.v2":0.293391,"PoemSentimentClassification":0.5885715,"BrazilianToxicTweetsClassification":0.215283,"StatcanDialogueDatasetRetrieval":0.4626625,"STS17":0.8441624545454545,"NordicLangClassification":0.6556,"ArXivHierarchicalClusteringP2P":0.63588,"NusaTranslationBitextMining":0.6605157272727272,"MassiveIntentClassification":0.6269916176470588,"CLSClusteringP2P.v2":0.414545,"WikipediaRetrievalMultilingual":0.899910625,"SinhalaNewsClassification":0.656689,"StackExchangeClustering.v2":0.909414,"MasakhaNEWSClassification":0.749335,"NusaX-senti":0.6980208333333334,"CataloniaTweetClassification":0.5122935,"OpusparcusPC":0.9334728333333334,"ArmenianParaphrasePC":0.926779,"KorHateSpeechMLClassification":0.115758,"WikiClusteringP2P.v2":0.2702587857142857,"AmazonCounterfactualClassification":0.842323625,"ArXivHierarchicalClusteringS2S":0.595855,"NepaliNewsClassification":0.954785,"ArguAna":0.71535,"AILAStatutes":0.37374,"ToxicConversationsClassification":0.829346,"IndicGenBenchFloresBitextMining":0.8709158189655173,"CSFDSKMovieReviewSentimentClassification":0.344922,"SiswatiNewsClassification":0.57,"CEDRClassification":0.527577,"TempReasonL1":0.00998,"BiorxivClusteringP2P.v2":0.520956,"NorwegianCourtsBitextMining":0.907895,"PunjabiNewsClassification":0.823567,"SpartQA":0.10676,"BUCC.v2":0.9874890000000001,"BornholmBitextMining":0.34633,"BibleNLPBitextMining":0.12678407548309178,"SIB200ClusteringS2S":0.2653071421319797,"RTE3":0.89668325,"TERRa":0.651458,"SwahiliNewsClassification":0.659521,"DBpediaClassification":0.942725,"HagridRetrieval":0.98919,"MultiHateClassification":0.6100272727272728,"WikiCitiesClustering":0.9202,"Tatoeba":0.5135344732142857,"STS14":0.836713,"KurdishSentimentClassification":0.599748,"PpcPC":0.908572,"STSBenchmark":0.881646,"MasakhaNEWSClusteringS2S":0.434606125,"MIRACLRetrievalHardNegatives":0.6619755555555555,"NTREXBitextMining":0.7386705,"DalajClassification":0.502815,"SICK-R":0.813676,"NollySentiBitextMining":0.412551,"SCIDOCS":0.18429,"BelebeleRetrieval":0.7238063829787235,"IsiZuluNewsClassification":0.264229,"TwitterHjerneRetrieval":0.7204,"STSB":0.8163670000000001,"STSES":0.823051,"KorSarcasmClassification":0.580957,"WinoGrande":0.59402,"SentimentAnalysisHindi":0.65492,"RuBQReranking":0.71259,"CyrillicTurkicLangClassification":0.586279,"FilipinoShopeeReviewsClassification":0.40524899999999997,"STS22.v2":0.7120166111111111,"RomaniBibleClustering":0.418824,"MacedonianTweetSentimentClassification":0.453117,"AfriSentiClassification":0.44472941666666665,"STS12":0.793211,"LegalBenchCorporateLobbying":0.95076,"TweetTopicSingleClassification":0.730242,"MultiEURLEXMultilabelClassification":0.04342608695652174,"T2Reranking":0.675443,"GreekLegalCodeClassification":0.290308,"SlovakMovieReviewSentimentClassification":0.732666,"FaroeseSTS":0.65301,"SwissJudgementClassification":0.5773533333333334,"TwitterURLCorpus":0.869003,"TRECCOVID":0.8035,"IndicLangClassification":0.466247,"GujaratiNewsClassification":0.827845,"ItaCaseholdClassification":0.70362,"FloresBitextMining":0.5534657320824882,"Robust04InstructionRetrieval":-0.009404,"BulgarianStoreReviewSentimentClassfication":0.712637,"OdiaNewsClassification":0.579467,"TswanaNewsClassification":0.311499,"PlscClusteringP2P.v2":0.721375,"FinancialPhrasebankClassification":0.864488,"News21InstructionRetrieval":0.114471,"StackOverflowQA":0.86473,"Core17InstructionRetrieval":0.063145,"WebLINXCandidatesReranking":0.10160216666666666,"PAC":0.678656,"VoyageMMarcoReranking":0.609945,"MedrxivClusteringP2P.v2":0.441053,"GermanSTSBenchmark":0.8466905,"AlloprofReranking":0.796881,"AlloProfClusteringS2S.v2":0.528155,"ScalaClassification":0.5076905,"indonli":0.609519,"IN22GenBitextMining":0.74404295256917,"CovidRetrieval":0.78934,"BigPatentClustering.v2":0.416445,"PawsXPairClassification":0.5772817857142857,"NusaXBitextMining":0.671074909090909,"NusaParagraphEmotionClassification":0.4416295,"LEMBPasskeyRetrieval":0.6075,"CTKFactsNLI":0.7933655,"DiaBlaBitextMining":0.83925,"IndonesianIdClickbaitClassification":0.60871,"XNLI":0.8172844642857143},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":32,"model":{"name":"Salesforce/SFR-Embedding-Mistral","url":"https://huggingface.co/Salesforce/SFR-Embedding-Mistral","zeroShotPct":96,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-01-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13563.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","STS12","STS22","STSBenchmark","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0015813333333333345,"MultilabelClassification":0.24547988695652173,"Classification":0.6001580892877131,"Retrieval":0.5944037095686383,"Reranking":0.6419020486111111,"Clustering":0.5183621639236993,"PairClassification":0.8029147799467928,"BitextMining":0.6999746720172967},"scoresByTask":{"SemRel24STS":0.6690585833333333,"FinParaSTS":0.19889800000000002,"PolEmo2.0-OUT":0.548583,"JSICK":0.837372,"SwednClusteringP2P":0.4895615,"MalteseNewsClassification":0.36626,"CzechProductReviewSentimentClassification":0.591699,"STS13":0.8915419511870839,"IndicCrosslingualSTS":0.22849208333333335,"SprintDuplicateQuestions":0.9645919546060879,"WikipediaRerankingMultilingual":0.901746625,"EstonianValenceClassification":0.398533,"STS15":0.907407512744838,"MLQARetrieval":0.693089081632653,"HALClusteringS2S.v2":0.301156,"PoemSentimentClassification":0.5630999999999999,"BrazilianToxicTweetsClassification":0.198828,"StatcanDialogueDatasetRetrieval":0.46637000000000006,"NordicLangClassification":0.688,"ArXivHierarchicalClusteringP2P":0.655027,"NusaTranslationBitextMining":0.7684426363636363,"MassiveIntentClassification":0.6047275882352942,"CLSClusteringP2P.v2":0.434734,"WikipediaRetrievalMultilingual":0.909736875,"SinhalaNewsClassification":0.565967,"StackExchangeClustering.v2":0.719022,"MasakhaNEWSClassification":0.7742108125,"NusaX-senti":0.6921666666666666,"CataloniaTweetClassification":0.52929875,"OpusparcusPC":0.9496713333333333,"ArmenianParaphrasePC":0.923813,"KorHateSpeechMLClassification":0.099313,"WikiClusteringP2P.v2":0.3091065,"AmazonCounterfactualClassification":0.738071125,"ArXivHierarchicalClusteringS2S":0.625545,"NepaliNewsClassification":0.950293,"ArguAna":0.67171,"AILAStatutes":0.37467,"ToxicConversationsClassification":0.6932940000000001,"IndicGenBenchFloresBitextMining":0.8574993534482759,"CSFDSKMovieReviewSentimentClassification":0.37041,"SiswatiNewsClassification":0.49,"CEDRClassification":0.517428,"TempReasonL1":0.03592,"BiorxivClusteringP2P.v2":0.471772,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.571338,"SpartQA":0.08807,"BUCC.v2":0.9896095,"BornholmBitextMining":0.502438,"BibleNLPBitextMining":0.16517113828502417,"SIB200ClusteringS2S":0.3835486852791878,"RTE3":0.882073,"TERRa":0.606486,"SwahiliNewsClassification":0.598877,"DBpediaClassification":0.916357,"HagridRetrieval":0.98822,"MultiHateClassification":0.6825363636363636,"WikiCitiesClustering":0.909769,"Tatoeba":0.7051660267857143,"STS14":0.8493199878424691,"KurdishSentimentClassification":0.681429,"PpcPC":0.923623,"STSBenchmark":0.8899708463265337,"MasakhaNEWSClusteringS2S":0.5342579375,"MIRACLRetrievalHardNegatives":0.5841066666666667,"NTREXBitextMining":0.787623619519833,"DalajClassification":0.504167,"SICK-R":0.8292294737327579,"NollySentiBitextMining":0.45940099999999995,"SCIDOCS":0.19908,"BelebeleRetrieval":0.6959641489361702,"IsiZuluNewsClassification":0.254255,"TwitterHjerneRetrieval":0.76062,"STSB":0.8356275,"STSES":0.768954,"KorSarcasmClassification":0.575684,"WinoGrande":0.45645,"SentimentAnalysisHindi":0.575925,"RuBQReranking":0.772412,"CyrillicTurkicLangClassification":0.649902,"FilipinoShopeeReviewsClassification":0.3950195,"STS22.v2":0.6888672777777778,"RomaniBibleClustering":0.404758,"MacedonianTweetSentimentClassification":0.520193,"AfriSentiClassification":0.4420196666666667,"STS12":0.7946865215168464,"LegalBenchCorporateLobbying":0.94832,"TweetTopicSingleClassification":0.772593,"MultiEURLEXMultilabelClassification":0.04557043478260869,"T2Reranking":0.669732,"GreekLegalCodeClassification":0.2621095,"SlovakMovieReviewSentimentClassification":0.845264,"FaroeseSTS":0.793127,"SwissJudgementClassification":0.5502066666666666,"TwitterURLCorpus":0.8778613271895861,"TRECCOVID":0.87599,"IndicLangClassification":0.740193,"GujaratiNewsClassification":0.733839,"ItaCaseholdClassification":0.713122,"FloresBitextMining":0.6173848491741524,"Robust04InstructionRetrieval":-0.054532,"BulgarianStoreReviewSentimentClassfication":0.792308,"OdiaNewsClassification":0.546177,"TswanaNewsClassification":0.407187,"PlscClusteringP2P.v2":0.739569,"FinancialPhrasebankClassification":0.756095,"News21InstructionRetrieval":0.013774,"StackOverflowQA":0.92278,"Core17InstructionRetrieval":0.045502,"WebLINXCandidatesReranking":0.09377066666666667,"PAC":0.62479,"VoyageMMarcoReranking":0.620577,"MedrxivClusteringP2P.v2":0.431892,"GermanSTSBenchmark":0.864393,"AlloprofReranking":0.793174,"AlloProfClusteringS2S.v2":0.578715,"ScalaClassification":0.5095215,"indonli":0.561773,"IN22GenBitextMining":0.6659641581027668,"CovidRetrieval":0.73067,"BigPatentClustering.v2":0.305361,"PawsXPairClassification":0.5889937857142857,"NusaXBitextMining":0.7892074545454545,"NusaParagraphEmotionClassification":0.4050217,"LEMBPasskeyRetrieval":0.2975,"CTKFactsNLI":0.8067225,"DiaBlaBitextMining":0.861938,"IndonesianIdClickbaitClassification":0.582314,"XNLI":0.7464536785714285},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","STS12","STS22.v2","STSBenchmark"],"experiments":null},{"rank":33,"model":{"name":"google/text-multilingual-embedding-002","url":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2024-05-14","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Bengali","Chinese","Chinese (Traditional)","English","Finnish","French","German","Hindi","Indonesian","Iranian Persian","Japanese","Korean","Russian","Spanish","Standard Arabic","Swahili (individual language)","Telugu","Thai","Yoruba"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["vertexai"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048,"meanTask":0.6215962201287503,"meanTaskType":0.5425128766309141,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.040847,"MultilabelClassification":0.22800393913043476,"Classification":0.646431003254674,"Retrieval":0.5968372314409413,"Reranking":0.6122087187499999,"STS":0.761134215435606,"Clustering":0.4784380464331037,"PairClassification":0.8113861125541125,"BitextMining":0.7073296226793542},"scoresByTask":{"SemRel24STS":0.70641425,"FinParaSTS":0.217643,"PolEmo2.0-OUT":0.699798,"JSICK":0.833242,"SwednClusteringP2P":0.3764875,"MalteseNewsClassification":0.247714,"CzechProductReviewSentimentClassification":0.621533,"STS13":0.887532,"IndicCrosslingualSTS":0.535552,"SprintDuplicateQuestions":0.968032,"WikipediaRerankingMultilingual":0.8799783125,"EstonianValenceClassification":0.461736,"STS15":0.886594,"MLQARetrieval":0.7105305102040816,"HALClusteringS2S.v2":0.268754,"PoemSentimentClassification":0.602001,"BrazilianToxicTweetsClassification":0.21665,"StatcanDialogueDatasetRetrieval":0.299595,"STS17":0.8376853636363637,"NordicLangClassification":0.5358,"ArXivHierarchicalClusteringP2P":0.56284,"NusaTranslationBitextMining":0.7085169090909091,"MassiveIntentClassification":0.6555781274509804,"CLSClusteringP2P.v2":0.380248,"WikipediaRetrievalMultilingual":0.888990625,"SinhalaNewsClassification":0.78042,"StackExchangeClustering.v2":0.913658,"MasakhaNEWSClassification":0.8013298125,"NusaX-senti":0.72975,"CataloniaTweetClassification":0.50135425,"OpusparcusPC":0.9405691666666667,"ArmenianParaphrasePC":0.964752,"KorHateSpeechMLClassification":0.125528,"WikiClusteringP2P.v2":0.27904535714285716,"AmazonCounterfactualClassification":0.761918,"ArXivHierarchicalClusteringS2S":0.536635,"NepaliNewsClassification":0.955078,"ArguAna":0.53814,"AILAStatutes":0.34902,"ToxicConversationsClassification":0.878223,"IndicGenBenchFloresBitextMining":0.866862,"CSFDSKMovieReviewSentimentClassification":0.394531,"SiswatiNewsClassification":0.61625,"CEDRClassification":0.500319,"TempReasonL1":0.01208,"BiorxivClusteringP2P.v2":0.377101,"NorwegianCourtsBitextMining":0.942251,"PunjabiNewsClassification":0.817834,"SpartQA":0.0005,"BUCC.v2":0.98641375,"BornholmBitextMining":0.416219,"BibleNLPBitextMining":0.14634451147342994,"SIB200ClusteringS2S":0.36373038578680206,"RTE3":0.8811327499999999,"TERRa":0.603852,"SwahiliNewsClassification":0.606299,"DBpediaClassification":0.874658,"HagridRetrieval":0.99128,"MultiHateClassification":0.615,"WikiCitiesClustering":0.807368,"Tatoeba":0.7019111875,"STS14":0.834547,"KurdishSentimentClassification":0.848817,"PpcPC":0.927031,"STSBenchmark":0.876198,"MasakhaNEWSClusteringS2S":0.4911215,"MIRACLRetrievalHardNegatives":0.5935222222222223,"NTREXBitextMining":0.8843521670146138,"DalajClassification":0.504955,"SICK-R":0.807759,"NollySentiBitextMining":0.57342825,"SCIDOCS":0.1796,"BelebeleRetrieval":0.7992118085106383,"IsiZuluNewsClassification":0.378191,"TwitterHjerneRetrieval":0.91255,"STSB":0.8120575,"STSES":0.803606,"KorSarcasmClassification":0.582422,"WinoGrande":0.39211,"SentimentAnalysisHindi":0.698398,"RuBQReranking":0.681847,"CyrillicTurkicLangClassification":0.646826,"FilipinoShopeeReviewsClassification":0.41071749999999996,"STS22.v2":0.7054028333333333,"RomaniBibleClustering":0.411284,"MacedonianTweetSentimentClassification":0.680685,"AfriSentiClassification":0.4881641666666667,"STS12":0.791855,"LegalBenchCorporateLobbying":0.9308,"TweetTopicSingleClassification":0.713881,"MultiEURLEXMultilabelClassification":0.04980869565217391,"T2Reranking":0.660377,"GreekLegalCodeClassification":0.462671,"SlovakMovieReviewSentimentClassification":0.87666,"FaroeseSTS":0.797079,"SwissJudgementClassification":0.5654703333333333,"TwitterURLCorpus":0.870444,"TRECCOVID":0.81452,"IndicLangClassification":0.435545,"GujaratiNewsClassification":0.882549,"ItaCaseholdClassification":0.611765,"FloresBitextMining":0.6881764897131266,"Robust04InstructionRetrieval":0.010357,"BulgarianStoreReviewSentimentClassfication":0.77967,"OdiaNewsClassification":0.74182,"TswanaNewsClassification":0.489117,"PlscClusteringP2P.v2":0.709733,"FinancialPhrasebankClassification":0.84258,"News21InstructionRetrieval":0.064038,"StackOverflowQA":0.89823,"Core17InstructionRetrieval":0.048146,"WebLINXCandidatesReranking":0.124401,"PAC":0.668491,"VoyageMMarcoReranking":0.566448,"MedrxivClusteringP2P.v2":0.365672,"GermanSTSBenchmark":0.8449804999999999,"AlloprofReranking":0.760201,"AlloProfClusteringS2S.v2":0.4676,"ScalaClassification":0.51765125,"indonli":0.567678,"IN22GenBitextMining":0.7336125573122529,"CovidRetrieval":0.74239,"BigPatentClustering.v2":0.343731,"PawsXPairClassification":0.5701197857142857,"NusaXBitextMining":0.7273942727272726,"NusaParagraphEmotionClassification":0.46888969999999996,"LEMBPasskeyRetrieval":0.69,"CTKFactsNLI":0.8329885,"DiaBlaBitextMining":0.819803,"IndonesianIdClickbaitClassification":0.591506,"XNLI":0.7986480357142857},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":34,"model":{"name":"GritLM/GritLM-7B","url":"https://huggingface.co/GritLM/GritLM-7B","zeroShotPct":99,"activeParamsB":7.109,"totalParamsB":7.24,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-02-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English","French","German","Italian","Spanish"],"citation":"\n@misc{muennighoff2024generative,\n title={Generative Representational Instruction Tuning},\n author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},\n year={2024},\n eprint={2402.09906},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n","memoryUsageMb":13813.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/ContextualAI/gritlm","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":7.109,"totalParamsB":7.24,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.6092069877415863,"meanTaskType":0.5374365544830888,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.034529763909089885,"MultilabelClassification":0.22773771161015946,"Classification":0.6183024740334713,"Retrieval":0.5830671092003585,"Reranking":0.6377875398491918,"STS":0.7332796007418407,"Clustering":0.4974634266413336,"PairClassification":0.7994441093062641,"BitextMining":0.7053172550560896},"scoresByTask":{"SemRel24STS":0.6556195908195133,"FinParaSTS":0.22715692027055356,"PolEmo2.0-OUT":0.6255060728744939,"JSICK":0.8563182770798646,"SwednClusteringP2P":0.5148660574260581,"MalteseNewsClassification":0.3023944275141489,"CzechProductReviewSentimentClassification":0.62216796875,"STS13":0.8504027564663601,"IndicCrosslingualSTS":0.27245619705709045,"SprintDuplicateQuestions":0.9334758693133184,"WikipediaRerankingMultilingual":0.9104981812169312,"EstonianValenceClassification":0.38679706601466995,"STS15":0.8812508895141099,"MLQARetrieval":0.7274202040816328,"HALClusteringS2S.v2":0.2976084253019843,"PoemSentimentClassification":0.51632326007326,"BrazilianToxicTweetsClassification":0.1884765625,"StatcanDialogueDatasetRetrieval":0.4575875,"STS17":0.8438532687280109,"NordicLangClassification":0.6936333333333333,"ArXivHierarchicalClusteringP2P":0.5976004587290107,"NusaTranslationBitextMining":0.7812577242664365,"MassiveIntentClassification":0.638057444033619,"CLSClusteringP2P.v2":0.42753052986595896,"WikipediaRetrievalMultilingual":0.917721875,"SinhalaNewsClassification":0.57998046875,"StackExchangeClustering.v2":0.6813461467763409,"MasakhaNEWSClassification":0.7504496865922062,"NusaX-senti":0.7078958333333333,"CataloniaTweetClassification":0.5438375,"OpusparcusPC":0.9509266363723512,"ArmenianParaphrasePC":0.9325395448596443,"KorHateSpeechMLClassification":0.09243986254295532,"WikiClusteringP2P.v2":0.298793956306957,"AmazonCounterfactualClassification":0.7929651246204344,"ArXivHierarchicalClusteringS2S":0.6228324344758562,"NepaliNewsClassification":0.94365234375,"ArguAna":0.63171,"AILAStatutes":0.418,"ToxicConversationsClassification":0.688134765625,"IndicGenBenchFloresBitextMining":0.8425365760056918,"CSFDSKMovieReviewSentimentClassification":0.413525390625,"SiswatiNewsClassification":0.58875,"CEDRClassification":0.5067481402763019,"TempReasonL1":0.07164,"BiorxivClusteringP2P.v2":0.41895930454425534,"NorwegianCourtsBitextMining":0.9269005847953216,"PunjabiNewsClassification":0.602547770700637,"SpartQA":0.09355,"BUCC.v2":0.9901506999178171,"BornholmBitextMining":0.6117333333333334,"BibleNLPBitextMining":0.15703429559492083,"SIB200ClusteringS2S":0.36072519770658396,"RTE3":0.8911072722656621,"TERRa":0.5893383738329443,"SwahiliNewsClassification":0.630078125,"DBpediaClassification":0.929296875,"HagridRetrieval":0.98673,"MultiHateClassification":0.7353727272727273,"WikiCitiesClustering":0.8366189968292854,"Tatoeba":0.7207802431124207,"STS14":0.8290819992299016,"KurdishSentimentClassification":0.6719677906391545,"PpcPC":0.918706383851458,"STSBenchmark":0.8564422693135456,"MasakhaNEWSClusteringS2S":0.542806919405131,"MIRACLRetrievalHardNegatives":0.5167933333333333,"NTREXBitextMining":0.7807461712905885,"DalajClassification":0.5063063063063062,"SICK-R":0.8312714130007381,"NollySentiBitextMining":0.44405770391912047,"SCIDOCS":0.24409,"BelebeleRetrieval":0.7170350531914894,"IsiZuluNewsClassification":0.2824468085106383,"TwitterHjerneRetrieval":0.43266,"STSB":0.7903608450123514,"STSES":0.7981620069387338,"KorSarcasmClassification":0.597412109375,"WinoGrande":0.53697,"SentimentAnalysisHindi":0.5714425391589478,"RuBQReranking":0.7574687449941541,"CyrillicTurkicLangClassification":0.648779296875,"FilipinoShopeeReviewsClassification":0.4171630859375,"STS22.v2":0.6938290263891328,"RomaniBibleClustering":0.39553580714309355,"MacedonianTweetSentimentClassification":0.5447761194029851,"AfriSentiClassification":0.4507858861214175,"STS12":0.7733852878004329,"LegalBenchCorporateLobbying":0.94999,"TweetTopicSingleClassification":0.7502658003544005,"MultiEURLEXMultilabelClassification":0.0486295652173913,"T2Reranking":0.6564118643982063,"GreekLegalCodeClassification":0.273876953125,"SlovakMovieReviewSentimentClassification":0.856787109375,"FaroeseSTS":0.7555661848971026,"SwissJudgementClassification":0.5639577374702821,"TwitterURLCorpus":0.8742665970242987,"TRECCOVID":0.74313,"IndicLangClassification":0.8157702676047076,"GujaratiNewsClassification":0.6985584218512899,"ItaCaseholdClassification":0.7352941176470589,"FloresBitextMining":0.6109930285907467,"Robust04InstructionRetrieval":0.024389676564299665,"BulgarianStoreReviewSentimentClassfication":0.7758241758241757,"OdiaNewsClassification":0.5664906429095378,"TswanaNewsClassification":0.4012320328542095,"PlscClusteringP2P.v2":0.7252547747581624,"FinancialPhrasebankClassification":0.8435512367491167,"News21InstructionRetrieval":0.01215088943097819,"StackOverflowQA":0.93367,"Core17InstructionRetrieval":0.0670487257319918,"WebLINXCandidatesReranking":0.10471032110953798,"PAC":0.6705183898059658,"VoyageMMarcoReranking":0.6183745237945266,"MedrxivClusteringP2P.v2":0.36471142453724265,"GermanSTSBenchmark":0.8173166793520105,"AlloprofReranking":0.7792616035817949,"AlloProfClusteringS2S.v2":0.5641182129244591,"ScalaClassification":0.52105712890625,"indonli":0.5552071327419831,"IN22GenBitextMining":0.6703253832518722,"CovidRetrieval":0.73401,"BigPatentClustering.v2":0.3101061795309582,"PawsXPairClassification":0.5718643310986854,"NusaXBitextMining":0.7543008523463068,"NusaParagraphEmotionClassification":0.42938064080904337,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.8259920995368684,"DiaBlaBitextMining":0.8783077193045878,"IndonesianIdClickbaitClassification":0.604390029477563,"XNLI":0.7504609614716912},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":35,"model":{"name":"GritLM/GritLM-8x7B","url":"https://huggingface.co/GritLM/GritLM-8x7B","zeroShotPct":99,"activeParamsB":13.0,"totalParamsB":57.92,"embeddingDim":32768,"maxTokens":32768.0,"releaseDate":"2024-02-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English","French","German","Italian","Spanish"],"citation":"\n@misc{muennighoff2024generative,\n title={Generative Representational Instruction Tuning},\n author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},\n year={2024},\n eprint={2402.09906},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n","memoryUsageMb":89079.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/ContextualAI/gritlm","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":13.0,"totalParamsB":57.92,"embeddingDim":32768,"maxTokens":32768,"meanTask":0.6048772792186464,"meanTaskType":0.5331074022184246,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.02441566666666667,"MultilabelClassification":0.2442916338780267,"Classification":0.6154945577526977,"Retrieval":0.5753712292356856,"Reranking":0.6261169140341615,"STS":0.7315994488170926,"Clustering":0.5016081079734815,"PairClassification":0.7973249475570392,"BitextMining":0.6817441140509692},"scoresByTask":{"SemRel24STS":0.6635383449093746,"FinParaSTS":0.20079960731368923,"PolEmo2.0-OUT":0.48441295546558705,"JSICK":0.8156952164325557,"SwednClusteringP2P":0.4040531899431452,"MalteseNewsClassification":0.3353069220722682,"CzechProductReviewSentimentClassification":0.591650390625,"STS13":0.8584537862684345,"IndicCrosslingualSTS":0.2720565589380371,"SprintDuplicateQuestions":0.9197328651896981,"WikipediaRerankingMultilingual":0.8957123346560847,"EstonianValenceClassification":0.4039119804400978,"STS15":0.8881340550511095,"MLQARetrieval":0.7114567346938775,"HALClusteringS2S.v2":0.30876966019822577,"PoemSentimentClassification":0.5205357142857143,"BrazilianToxicTweetsClassification":0.21826171875,"StatcanDialogueDatasetRetrieval":0.33925,"STS17":0.8592753995349883,"NordicLangClassification":0.7319666666666668,"ArXivHierarchicalClusteringP2P":0.5986256139428866,"NusaTranslationBitextMining":0.7104237614808239,"MassiveIntentClassification":0.6364562002886288,"CLSClusteringP2P.v2":0.4211841225675311,"WikipediaRetrievalMultilingual":0.899813125,"SinhalaNewsClassification":0.61796875,"StackExchangeClustering.v2":0.692228133991667,"MasakhaNEWSClassification":0.7719695826365901,"NusaX-senti":0.6652708333333334,"CataloniaTweetClassification":0.5356440472810237,"OpusparcusPC":0.9559659475693941,"ArmenianParaphrasePC":0.9356474709832032,"KorHateSpeechMLClassification":0.11050564555719196,"WikiClusteringP2P.v2":0.2948246378693038,"AmazonCounterfactualClassification":0.7650539503502856,"ArXivHierarchicalClusteringS2S":0.5721927960247923,"NepaliNewsClassification":0.9619140625,"ArguAna":0.59539,"AILAStatutes":0.39044,"ToxicConversationsClassification":0.693505859375,"IndicGenBenchFloresBitextMining":0.8432173212957706,"CSFDSKMovieReviewSentimentClassification":0.410986328125,"SiswatiNewsClassification":0.57875,"CEDRClassification":0.5078108395324124,"TempReasonL1":0.03635,"BiorxivClusteringP2P.v2":0.446450727199578,"NorwegianCourtsBitextMining":0.9371345029239766,"PunjabiNewsClassification":0.60828025477707,"SpartQA":0.08657,"BUCC.v2":0.9899570655024637,"BornholmBitextMining":0.4912761904761904,"BibleNLPBitextMining":0.13915500546280568,"SIB200ClusteringS2S":0.4043809536314839,"RTE3":0.88368571258487,"TERRa":0.582072604427126,"SwahiliNewsClassification":0.637109375,"DBpediaClassification":0.946728515625,"HagridRetrieval":0.98721,"MultiHateClassification":0.7365090909090909,"WikiCitiesClustering":0.8494429480083369,"Tatoeba":0.7524183704932332,"STS14":0.8204633406211417,"KurdishSentimentClassification":0.6929542023150479,"PpcPC":0.9228721630012803,"STSBenchmark":0.8746088823673782,"MasakhaNEWSClusteringS2S":0.5375969255403582,"MIRACLRetrievalHardNegatives":0.48838888888888893,"NTREXBitextMining":0.7579458659735226,"DalajClassification":0.5086711711711712,"SICK-R":0.8056596360704134,"NollySentiBitextMining":0.3972705063349237,"SCIDOCS":0.23248,"BelebeleRetrieval":0.7057933776595745,"IsiZuluNewsClassification":0.26369680851063826,"TwitterHjerneRetrieval":0.79321,"STSB":0.8082807037325123,"STSES":0.8031875222821119,"KorSarcasmClassification":0.587744140625,"WinoGrande":0.37968,"SentimentAnalysisHindi":0.5622358006373366,"RuBQReranking":0.7478543858273224,"CyrillicTurkicLangClassification":0.657958984375,"FilipinoShopeeReviewsClassification":0.410986328125,"STS22.v2":0.7008303783111294,"RomaniBibleClustering":0.3920689935898069,"MacedonianTweetSentimentClassification":0.5622475856014046,"AfriSentiClassification":0.442001978091279,"STS12":0.7369103876926383,"LegalBenchCorporateLobbying":0.94312,"TweetTopicSingleClassification":0.7580626107501477,"MultiEURLEXMultilabelClassification":0.049573043478260866,"T2Reranking":0.6531220227771662,"GreekLegalCodeClassification":0.28486328125000004,"SlovakMovieReviewSentimentClassification":0.807080078125,"FaroeseSTS":0.7517412143009663,"SwissJudgementClassification":0.5632928757440476,"TwitterURLCorpus":0.8651045713469981,"TRECCOVID":0.81357,"IndicLangClassification":0.8092576763758302,"GujaratiNewsClassification":0.7830045523520485,"ItaCaseholdClassification":0.751131221719457,"FloresBitextMining":0.5780816294638521,"Robust04InstructionRetrieval":0.007978,"BulgarianStoreReviewSentimentClassfication":0.7247252747252746,"OdiaNewsClassification":0.5856284944863729,"TswanaNewsClassification":0.39507186858316223,"PlscClusteringP2P.v2":0.7296674316108865,"FinancialPhrasebankClassification":0.8170494699646644,"News21InstructionRetrieval":0.003758,"StackOverflowQA":0.86211,"Core17InstructionRetrieval":0.061511,"WebLINXCandidatesReranking":0.10662562195102826,"PAC":0.6669562699102229,"VoyageMMarcoReranking":0.572151290908269,"MedrxivClusteringP2P.v2":0.40283075404998303,"GermanSTSBenchmark":0.845956147247001,"AlloprofReranking":0.7812358280850987,"AlloProfClusteringS2S.v2":0.5927976109387059,"ScalaClassification":0.51417236328125,"indonli":0.5510282995247396,"IN22GenBitextMining":0.6747859425081396,"CovidRetrieval":0.71435,"BigPatentClustering.v2":0.3786152284690122,"PawsXPairClassification":0.5800220792431646,"NusaXBitextMining":0.7094830574898601,"NusaParagraphEmotionClassification":0.4134654013621842,"LEMBPasskeyRetrieval":0.3775,"CTKFactsNLI":0.8217309967794337,"DiaBlaBitextMining":0.8815242632570399,"IndonesianIdClickbaitClassification":0.6053829876003729,"XNLI":0.752711712477524},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":36,"model":{"name":"intfloat/e5-mistral-7b-instruct","url":"https://huggingface.co/intfloat/e5-mistral-7b-instruct","zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","French","German","Italian","Spanish"],"citation":"\n @article{wang2023improving,\n title={Improving Text Embeddings with Large Language Models},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2401.00368},\n year={2023}\n }\n\n @article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n }\n ","memoryUsageMb":13563.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mistralai/Mistral-7B-v0.1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.6003096039902288,"meanTaskType":0.5284187395550346,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.00616534421018271,"MultilabelClassification":0.22196821220257984,"Classification":0.6031429533136031,"Retrieval":0.5575010117137872,"Reranking":0.6381918343246639,"STS":0.7402160002045006,"Clustering":0.5056677488407624,"PairClassification":0.8112221072702102,"BitextMining":0.6840241323353866},"scoresByTask":{"SemRel24STS":0.6637408186274176,"FinParaSTS":0.2057879181482765,"PolEmo2.0-OUT":0.6054655870445343,"JSICK":0.8354828172469371,"SwednClusteringP2P":0.5055558993934491,"MalteseNewsClassification":0.25768393556813235,"CzechProductReviewSentimentClassification":0.598095703125,"STS13":0.8842693188284634,"IndicCrosslingualSTS":0.22981297058285943,"SprintDuplicateQuestions":0.9586143310549287,"WikipediaRerankingMultilingual":0.9025595072751322,"EstonianValenceClassification":0.4229828850855745,"STS15":0.9042497351106816,"MLQARetrieval":0.6706868367346939,"HALClusteringS2S.v2":0.2905991221911424,"PoemSentimentClassification":0.5908516483516484,"BrazilianToxicTweetsClassification":0.19033203125,"StatcanDialogueDatasetRetrieval":0.44826,"STS17":0.8517116133130891,"NordicLangClassification":0.6913333333333332,"ArXivHierarchicalClusteringP2P":0.6528373499913129,"NusaTranslationBitextMining":0.7858169271193841,"MassiveIntentClassification":0.5995188404732258,"CLSClusteringP2P.v2":0.43579798656323565,"WikipediaRetrievalMultilingual":0.909265,"SinhalaNewsClassification":0.56279296875,"StackExchangeClustering.v2":0.6432871212725468,"MasakhaNEWSClassification":0.7720843925808814,"NusaX-senti":0.7089166666666666,"CataloniaTweetClassification":0.5264624999999999,"OpusparcusPC":0.9532411071027078,"ArmenianParaphrasePC":0.9209217221470107,"KorHateSpeechMLClassification":0.09077074128620519,"WikiClusteringP2P.v2":0.31041842947604564,"AmazonCounterfactualClassification":0.7355583851060097,"ArXivHierarchicalClusteringS2S":0.612781226957918,"NepaliNewsClassification":0.9498046875,"ArguAna":0.61653,"AILAStatutes":0.34535,"ToxicConversationsClassification":0.71748046875,"IndicGenBenchFloresBitextMining":0.857099478185088,"CSFDSKMovieReviewSentimentClassification":0.375634765625,"SiswatiNewsClassification":0.43125,"CEDRClassification":0.5194473963868226,"TempReasonL1":0.03595,"BiorxivClusteringP2P.v2":0.4243994588820838,"NorwegianCourtsBitextMining":0.9312865497076023,"PunjabiNewsClassification":0.5573248407643312,"SpartQA":0.10035,"BUCC.v2":0.988904421803621,"BornholmBitextMining":0.5724333333333332,"BibleNLPBitextMining":0.15871068617513198,"SIB200ClusteringS2S":0.3874355629191053,"RTE3":0.8944188789556573,"TERRa":0.6081463737650523,"SwahiliNewsClassification":0.58271484375,"DBpediaClassification":0.90859375,"HagridRetrieval":0.98795,"MultiHateClassification":0.6914818181818182,"WikiCitiesClustering":0.8903355245373612,"Tatoeba":0.7008043679895427,"STS14":0.8453916226397308,"KurdishSentimentClassification":0.690689481630599,"PpcPC":0.9288061041237821,"STSBenchmark":0.8859956806069065,"MasakhaNEWSClusteringS2S":0.5455790207829309,"MIRACLRetrievalHardNegatives":0.5802816666666666,"NTREXBitextMining":0.7882254775515363,"DalajClassification":0.5092342342342342,"SICK-R":0.8264168405010995,"NollySentiBitextMining":0.4662746749043283,"SCIDOCS":0.16315,"BelebeleRetrieval":0.6828947074468086,"IsiZuluNewsClassification":0.25026595744680846,"TwitterHjerneRetrieval":0.33405,"STSB":0.8328891491867841,"STSES":0.7654646568695226,"KorSarcasmClassification":0.57021484375,"WinoGrande":0.39514,"SentimentAnalysisHindi":0.6213235665105454,"RuBQReranking":0.7632050567901123,"CyrillicTurkicLangClassification":0.662890625,"FilipinoShopeeReviewsClassification":0.40537109375,"STS22.v2":0.6758185609705276,"RomaniBibleClustering":0.39301171256563905,"MacedonianTweetSentimentClassification":0.5381913959613696,"AfriSentiClassification":0.44476334504656,"STS12":0.7965304787099163,"LegalBenchCorporateLobbying":0.94603,"TweetTopicSingleClassification":0.7660366213821618,"MultiEURLEXMultilabelClassification":0.051606956521739134,"T2Reranking":0.6689539154997776,"GreekLegalCodeClassification":0.2230224609375,"SlovakMovieReviewSentimentClassification":0.851416015625,"FaroeseSTS":0.7831946771080547,"SwissJudgementClassification":0.5565359690090873,"TwitterURLCorpus":0.8778798304575807,"TRECCOVID":0.87034,"IndicLangClassification":0.7451147346965612,"GujaratiNewsClassification":0.7308801213960547,"ItaCaseholdClassification":0.6787330316742082,"FloresBitextMining":0.6171733102240896,"Robust04InstructionRetrieval":-0.0634797925525378,"BulgarianStoreReviewSentimentClassfication":0.7928571428571429,"OdiaNewsClassification":0.5615991706834288,"TswanaNewsClassification":0.4059548254620123,"PlscClusteringP2P.v2":0.7456474020582282,"FinancialPhrasebankClassification":0.7919169611307422,"News21InstructionRetrieval":0.007424044941545943,"StackOverflowQA":0.91018,"Core17InstructionRetrieval":0.03755971498044373,"WebLINXCandidatesReranking":0.09506336414282647,"PAC":0.6226469736461049,"VoyageMMarcoReranking":0.6161925183883836,"MedrxivClusteringP2P.v2":0.39047461828238117,"GermanSTSBenchmark":0.8566991448217436,"AlloprofReranking":0.7831766438517511,"AlloProfClusteringS2S.v2":0.571119995801465,"ScalaClassification":0.51070556640625,"indonli":0.5799422834513732,"IN22GenBitextMining":0.6624329979557673,"CovidRetrieval":0.73111,"BigPatentClustering.v2":0.2914035497773531,"PawsXPairClassification":0.5819087689124792,"NusaXBitextMining":0.7895774622506679,"NusaParagraphEmotionClassification":0.3972819872294248,"LEMBPasskeyRetrieval":0.3075,"CTKFactsNLI":0.8326076063030767,"DiaBlaBitextMining":0.5735740331599325,"IndonesianIdClickbaitClassification":0.5791527819311136,"XNLI":0.7869561736986618},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":37,"model":{"name":"Cohere/Cohere-embed-multilingual-v3.0","url":"https://cohere.com/blog/introducing-embed-v3","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":null,"releaseDate":"2023-11-02","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Assamese","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean (Korean)","Kurdish","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oriya (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Wolof","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018948666666666662,"MultilabelClassification":0.22739629565217392,"Classification":0.629480556057497,"Retrieval":0.5921862292340104,"Reranking":0.6406770381944444,"Clustering":0.4695716677902919,"PairClassification":0.798814042916828,"BitextMining":0.7051161079644473},"scoresByTask":{"SemRel24STS":0.638431,"FinParaSTS":0.2823905,"PolEmo2.0-OUT":0.62996,"JSICK":0.771914,"SwednClusteringP2P":0.416635,"MalteseNewsClassification":0.300958,"CzechProductReviewSentimentClassification":0.607568,"STS13":0.8515620774806095,"IndicCrosslingualSTS":0.46727516666666663,"SprintDuplicateQuestions":0.9679160651306724,"WikipediaRerankingMultilingual":0.8999060625,"EstonianValenceClassification":0.442298,"STS15":0.8892297656560553,"MLQARetrieval":0.7607983673469387,"HALClusteringS2S.v2":0.28687,"PoemSentimentClassification":0.5172760000000001,"BrazilianToxicTweetsClassification":0.213281,"StatcanDialogueDatasetRetrieval":0.2420775,"NordicLangClassification":0.7873,"ArXivHierarchicalClusteringP2P":0.596227,"NusaTranslationBitextMining":0.6476891818181818,"MassiveIntentClassification":0.6338870294117647,"CLSClusteringP2P.v2":0.403376,"WikipediaRetrievalMultilingual":0.90871125,"SinhalaNewsClassification":0.727148,"StackExchangeClustering.v2":0.590993,"MasakhaNEWSClassification":0.809224125,"NusaX-senti":0.7152708333333333,"CataloniaTweetClassification":0.508065,"OpusparcusPC":0.9514209166666667,"ArmenianParaphrasePC":0.952877,"KorHateSpeechMLClassification":0.113304,"WikiClusteringP2P.v2":0.27932799999999997,"AmazonCounterfactualClassification":0.75382025,"ArXivHierarchicalClusteringS2S":0.574664,"NepaliNewsClassification":0.940137,"ArguAna":0.55105,"AILAStatutes":0.29692,"ToxicConversationsClassification":0.7119979999999999,"IndicGenBenchFloresBitextMining":0.8792301896551724,"CSFDSKMovieReviewSentimentClassification":0.408252,"SiswatiNewsClassification":0.6425,"CEDRClassification":0.456695,"TempReasonL1":0.00909,"BiorxivClusteringP2P.v2":0.428922,"NorwegianCourtsBitextMining":0.928655,"PunjabiNewsClassification":0.820382,"SpartQA":0.04658,"BUCC.v2":0.98562325,"BornholmBitextMining":0.358124,"BibleNLPBitextMining":0.14452701630434783,"SIB200ClusteringS2S":0.30028630964467,"RTE3":0.882536,"TERRa":0.586097,"SwahiliNewsClassification":0.611084,"DBpediaClassification":0.904443,"HagridRetrieval":0.98841,"MultiHateClassification":0.6519272727272727,"WikiCitiesClustering":0.824805,"Tatoeba":0.7245546785714286,"STS14":0.8001967438481185,"KurdishSentimentClassification":0.801107,"PpcPC":0.931833,"STSBenchmark":0.8878683817318573,"MasakhaNEWSClusteringS2S":0.444601375,"MIRACLRetrievalHardNegatives":0.6803383333333334,"NTREXBitextMining":0.8728835579331942,"DalajClassification":0.500113,"SICK-R":0.8218202534761809,"NollySentiBitextMining":0.5458445000000001,"SCIDOCS":0.19339000000000003,"BelebeleRetrieval":0.8108666755319149,"IsiZuluNewsClassification":0.34109,"TwitterHjerneRetrieval":0.76754,"STSB":0.8141585,"STSES":0.787576,"KorSarcasmClassification":0.56543,"WinoGrande":0.58442,"SentimentAnalysisHindi":0.667452,"RuBQReranking":0.752585,"CyrillicTurkicLangClassification":0.45083,"FilipinoShopeeReviewsClassification":0.3766115,"STS22.v2":0.6935949444444445,"RomaniBibleClustering":0.399848,"MacedonianTweetSentimentClassification":0.653995,"AfriSentiClassification":0.47868358333333333,"STS12":0.7762042143066208,"LegalBenchCorporateLobbying":0.93758,"TweetTopicSingleClassification":0.717661,"MultiEURLEXMultilabelClassification":0.052743478260869565,"T2Reranking":0.678045,"GreekLegalCodeClassification":0.43464349999999996,"SlovakMovieReviewSentimentClassification":0.850732,"FaroeseSTS":0.759531,"SwissJudgementClassification":0.5466766666666666,"TwitterURLCorpus":0.8648560260020556,"TRECCOVID":0.83372,"IndicLangClassification":0.225334,"GujaratiNewsClassification":0.827011,"ItaCaseholdClassification":0.679638,"FloresBitextMining":0.7642027161209312,"Robust04InstructionRetrieval":-0.06799,"BulgarianStoreReviewSentimentClassfication":0.729121,"OdiaNewsClassification":0.826985,"TswanaNewsClassification":0.49692,"PlscClusteringP2P.v2":0.720522,"FinancialPhrasebankClassification":0.83856,"News21InstructionRetrieval":0.008293,"StackOverflowQA":0.89415,"Core17InstructionRetrieval":0.002851,"WebLINXCandidatesReranking":0.08060816666666666,"PAC":0.682942,"VoyageMMarcoReranking":0.678867,"MedrxivClusteringP2P.v2":0.390101,"GermanSTSBenchmark":0.825937,"AlloprofReranking":0.754051,"AlloProfClusteringS2S.v2":0.444215,"ScalaClassification":0.50861825,"indonli":0.515903,"IN22GenBitextMining":0.7582516185770751,"CovidRetrieval":0.77121,"BigPatentClustering.v2":0.411753,"PawsXPairClassification":0.5702184285714286,"NusaXBitextMining":0.7259490000000001,"NusaParagraphEmotionClassification":0.4489529,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.800896,"DiaBlaBitextMining":0.8309746945574851,"IndonesianIdClickbaitClassification":0.596016,"XNLI":0.7624010357142856},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":38,"model":{"name":"Alibaba-NLP/gte-Qwen2-1.5B-instruct","url":"https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct","zeroShotPct":-1,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":8960,"maxTokens":32768.0,"releaseDate":"2024-07-29","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":6776.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":8960,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.007441333333333332,"MultilabelClassification":0.24023933413112789,"Retrieval":0.607844085098677,"Reranking":0.6258029008562543,"PairClassification":0.8158277088834602,"BitextMining":0.6250869715941743},"scoresByTask":{"SemRel24STS":0.61532025,"FinParaSTS":0.1750045,"PolEmo2.0-OUT":0.6840080971659919,"JSICK":0.75413,"SwednClusteringP2P":0.4865125,"MalteseNewsClassification":0.337875,"CzechProductReviewSentimentClassification":0.551562,"STS13":0.8779454220555091,"IndicCrosslingualSTS":0.22661225,"SprintDuplicateQuestions":0.953203137438653,"WikipediaRerankingMultilingual":0.8731201875,"EstonianValenceClassification":0.389731,"STS15":0.8845414278092397,"MLQARetrieval":0.7289005102040816,"HALClusteringS2S.v2":0.298521,"PoemSentimentClassification":0.578544,"BrazilianToxicTweetsClassification":0.21167,"StatcanDialogueDatasetRetrieval":0.33253,"NordicLangClassification":0.610767,"ArXivHierarchicalClusteringP2P":0.647434,"NusaTranslationBitextMining":0.6866452727272727,"MassiveIntentClassification":0.5769371764705882,"CLSClusteringP2P.v2":0.456336,"WikipediaRetrievalMultilingual":0.877718125,"SinhalaNewsClassification":0.503369,"StackExchangeClustering.v2":0.693255,"NusaX-senti":0.6742708333333334,"CataloniaTweetClassification":0.500191,"OpusparcusPC":0.9456908333333334,"ArmenianParaphrasePC":0.915907,"KorHateSpeechMLClassification":0.078056,"WikiClusteringP2P.v2":0.30012999999999995,"AmazonCounterfactualClassification":0.819994375,"ArXivHierarchicalClusteringS2S":0.63218,"NepaliNewsClassification":0.941895,"ArguAna":0.6972,"AILAStatutes":0.34886,"ToxicConversationsClassification":0.8266099999999998,"IndicGenBenchFloresBitextMining":0.777021146551724,"CSFDSKMovieReviewSentimentClassification":0.333887,"SiswatiNewsClassification":0.5225,"CEDRClassification":0.5298087141339002,"TempReasonL1":0.01326,"BiorxivClusteringP2P.v2":0.458146,"NorwegianCourtsBitextMining":0.938596,"PunjabiNewsClassification":0.65414,"SpartQA":0.18627,"BUCC.v2":0.98802225,"BornholmBitextMining":0.397881,"BibleNLPBitextMining":0.10921005736714975,"SIB200ClusteringS2S":0.32698268020304566,"RTE3":0.8899837500000001,"TERRa":0.60546979190962,"SwahiliNewsClassification":0.599365,"DBpediaClassification":0.94624,"HagridRetrieval":0.98694,"MultiHateClassification":0.6572363636363636,"WikiCitiesClustering":0.813248,"Tatoeba":0.5398598482142857,"STS14":0.8291015471820322,"KurdishSentimentClassification":0.579467,"PpcPC":0.9147194213011349,"STSBenchmark":0.8637572865993327,"MIRACLRetrievalHardNegatives":0.6322794444444445,"NTREXBitextMining":0.6791727327766179,"DalajClassification":0.502815,"SICK-R":0.8049030614009419,"NollySentiBitextMining":0.36048175,"SCIDOCS":0.24976000000000004,"BelebeleRetrieval":0.6658554521276596,"IsiZuluNewsClassification":0.250798,"TwitterHjerneRetrieval":0.67008,"STSES":0.765209,"KorSarcasmClassification":0.562549,"WinoGrande":0.65611,"SentimentAnalysisHindi":0.600938,"RuBQReranking":0.7387568855586618,"CyrillicTurkicLangClassification":0.417188,"FilipinoShopeeReviewsClassification":0.355713,"STS22.v2":0.6939835555555556,"RomaniBibleClustering":0.407045,"MacedonianTweetSentimentClassification":0.525549,"AfriSentiClassification":0.4086470833333333,"STS12":0.7725370084896513,"LegalBenchCorporateLobbying":0.94843,"TweetTopicSingleClassification":0.766273,"MultiEURLEXMultilabelClassification":0.04378695652173913,"T2Reranking":0.6743289278789972,"GreekLegalCodeClassification":0.178833,"SlovakMovieReviewSentimentClassification":0.712207,"FaroeseSTS":0.684519,"SwissJudgementClassification":0.5412786666666666,"TwitterURLCorpus":0.8758146137353202,"TRECCOVID":0.85382,"IndicLangClassification":0.3816,"GujaratiNewsClassification":0.762215,"ItaCaseholdClassification":0.700905,"FloresBitextMining":0.5109261066840529,"Robust04InstructionRetrieval":-0.03554,"BulgarianStoreReviewSentimentClassfication":0.682967,"OdiaNewsClassification":0.572839,"TswanaNewsClassification":0.319713,"PlscClusteringP2P.v2":0.724581,"FinancialPhrasebankClassification":0.806007,"News21InstructionRetrieval":0.029466,"StackOverflowQA":0.90274,"Core17InstructionRetrieval":0.028398,"WebLINXCandidatesReranking":0.08159066666666666,"PAC":0.6904141326382855,"VoyageMMarcoReranking":0.652151,"MedrxivClusteringP2P.v2":0.430505,"GermanSTSBenchmark":0.812812,"AlloprofReranking":0.7348697375332002,"AlloProfClusteringS2S.v2":0.497099,"ScalaClassification":0.503674,"indonli":0.595192,"IN22GenBitextMining":0.5972967391304348,"CovidRetrieval":0.80794,"BigPatentClustering.v2":0.438761,"PawsXPairClassification":0.6603078571428572,"NusaXBitextMining":0.6855387272727272,"NusaParagraphEmotionClassification":0.4258642,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.8133429999999999,"DiaBlaBitextMining":0.855479,"IndonesianIdClickbaitClassification":0.604454,"XNLI":0.8044733928571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":39,"model":{"name":"Lajavaness/bilingual-embedding-large","url":"https://huggingface.co/Lajavaness/bilingual-embedding-large","zeroShotPct":98,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-06-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","French"],"citation":"\n @article{DBLP:journals/corr/abs-1911-02116,\n author = {Alexis Conneau and\n Kartikay Khandelwal and\n Naman Goyal and\n Vishrav Chaudhary and\n Guillaume Wenzek and\n Francisco Guzm{'{a}}n and\n Edouard Grave and\n Myle Ott and\n Luke Zettlemoyer and\n Veselin Stoyanov},\n title = {Unsupervised Cross-lingual Representation Learning at Scale},\n journal = {CoRR},\n volume = {abs/1911.02116},\n year = {2019},\n url = {http://arxiv.org/abs/1911.02116},\n eprinttype = {arXiv},\n eprint = {1911.02116},\n timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n }\n\n@inproceedings{reimers-2019-sentence-bert,\n author = {Reimers, Nils and Gurevych, Iryna},\n booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing},\n month = {11},\n publisher = {Association for Computational Linguistics},\n title = {Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},\n url = {https://arxiv.org/abs/1908.10084},\n year = {2019},\n}\n\n@article{thakur2020augmented,\n title={Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks},\n author={Thakur, Nandan and Reimers, Nils and Daxenberger, Johannes and Gurevych, Iryna},\n journal={arXiv e-prints},\n pages={arXiv--2010},\n year={2020}\n}\n","memoryUsageMb":2136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dangvantuan/bilingual_impl","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["STSBenchmark","STSBenchmarkMultilingualSTS","XNLI"]},"zeroShotPct":98,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.030383000000000004,"MultilabelClassification":0.22355873913043478,"Retrieval":0.5510419689026124,"Reranking":0.6142277256650982,"PairClassification":0.7983029823081508,"BitextMining":0.735531713165128},"scoresByTask":{"SemRel24STS":0.6757848333333333,"FinParaSTS":0.275016,"PolEmo2.0-OUT":0.383198,"JSICK":0.834595,"SwednClusteringP2P":0.367685,"MalteseNewsClassification":0.289073,"CzechProductReviewSentimentClassification":0.580322,"STS13":0.8936590409791387,"IndicCrosslingualSTS":0.45948283333333334,"SprintDuplicateQuestions":0.9261210920251232,"WikipediaRerankingMultilingual":0.877276,"EstonianValenceClassification":0.41956,"STS15":0.9202450415044239,"MLQARetrieval":0.7396082653061224,"HALClusteringS2S.v2":0.280894,"PoemSentimentClassification":0.500014,"BrazilianToxicTweetsClassification":0.207715,"StatcanDialogueDatasetRetrieval":0.33481,"NordicLangClassification":0.717767,"ArXivHierarchicalClusteringP2P":0.57353,"NusaTranslationBitextMining":0.736593090909091,"MassiveIntentClassification":0.6254441274509804,"CLSClusteringP2P.v2":0.396442,"WikipediaRetrievalMultilingual":0.88673875,"SinhalaNewsClassification":0.733154,"StackExchangeClustering.v2":0.576207,"NusaX-senti":0.6915,"CataloniaTweetClassification":0.5021545,"OpusparcusPC":0.9570077499999999,"ArmenianParaphrasePC":0.960543,"KorHateSpeechMLClassification":0.107413,"WikiClusteringP2P.v2":0.28258542857142854,"AmazonCounterfactualClassification":0.7658533750000001,"ArXivHierarchicalClusteringS2S":0.576409,"NepaliNewsClassification":0.950244,"ArguAna":0.55888,"AILAStatutes":0.25162,"ToxicConversationsClassification":0.6556640625,"IndicGenBenchFloresBitextMining":0.8892267413793103,"CSFDSKMovieReviewSentimentClassification":0.374512,"SiswatiNewsClassification":0.60875,"CEDRClassification":0.466684,"TempReasonL1":0.01111,"BiorxivClusteringP2P.v2":0.394234,"NorwegianCourtsBitextMining":0.934211,"PunjabiNewsClassification":0.80828,"SpartQA":0.06009,"BUCC.v2":0.9871417499999999,"BornholmBitextMining":0.362332,"BibleNLPBitextMining":0.1806243786231884,"SIB200ClusteringS2S":0.35061096446700507,"RTE3":0.88326675,"TERRa":0.57944,"SwahiliNewsClassification":0.60083,"DBpediaClassification":0.915332,"HagridRetrieval":0.98694,"MultiHateClassification":0.6135,"WikiCitiesClustering":0.746969,"Tatoeba":0.7611879910714286,"STS14":0.9160879188296314,"KurdishSentimentClassification":0.780272,"PpcPC":0.917714,"STSBenchmark":0.8928237056532354,"MIRACLRetrievalHardNegatives":0.5117761111111112,"NTREXBitextMining":0.9039577296450939,"DalajClassification":0.498649,"SICK-R":0.810146278511025,"NollySentiBitextMining":0.6451125,"SCIDOCS":0.18829,"BelebeleRetrieval":0.8055823138297873,"IsiZuluNewsClassification":0.355053,"TwitterHjerneRetrieval":0.73114,"STSB":0.8493280000000001,"STSES":0.803175,"KorSarcasmClassification":0.571436,"WinoGrande":0.37977,"SentimentAnalysisHindi":0.599602,"RuBQReranking":0.722633,"CyrillicTurkicLangClassification":0.753418,"FilipinoShopeeReviewsClassification":0.371167,"STS22.v2":0.7134637222222222,"RomaniBibleClustering":0.414633,"MacedonianTweetSentimentClassification":0.614838,"AfriSentiClassification":0.46070174999999997,"STS12":0.8552036823639512,"LegalBenchCorporateLobbying":0.93074,"TweetTopicSingleClassification":0.720201,"MultiEURLEXMultilabelClassification":0.04690869565217391,"T2Reranking":0.666306,"GreekLegalCodeClassification":0.3895265,"SlovakMovieReviewSentimentClassification":0.751221,"FaroeseSTS":0.790172,"SwissJudgementClassification":0.550817,"TwitterURLCorpus":0.8719162847931056,"TRECCOVID":0.5292,"IndicLangClassification":0.797409,"GujaratiNewsClassification":0.800152,"ItaCaseholdClassification":0.684163,"FloresBitextMining":0.7991609412972085,"Robust04InstructionRetrieval":-0.08618,"BulgarianStoreReviewSentimentClassfication":0.702747,"OdiaNewsClassification":0.815851,"TswanaNewsClassification":0.468172,"PlscClusteringP2P.v2":0.703663,"FinancialPhrasebankClassification":0.827694,"News21InstructionRetrieval":-0.006267,"StackOverflowQA":0.89398,"Core17InstructionRetrieval":0.001298,"WebLINXCandidatesReranking":0.08871283333333334,"PAC":0.674776,"VoyageMMarcoReranking":0.594133,"MedrxivClusteringP2P.v2":0.370089,"GermanSTSBenchmark":0.873049,"AlloprofReranking":0.7363055206572554,"AlloProfClusteringS2S.v2":0.52845,"ScalaClassification":0.50267325,"indonli":0.545103,"IN22GenBitextMining":0.7634322391304348,"CovidRetrieval":0.73348,"BigPatentClustering.v2":0.32571,"PawsXPairClassification":0.5882989285714286,"NusaXBitextMining":0.7697249090909092,"NusaParagraphEmotionClassification":0.4651373,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.8022195,"DiaBlaBitextMining":0.829207,"IndonesianIdClickbaitClassification":0.582447,"XNLI":0.7497024999999999},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":40,"model":{"name":"google/embeddinggemma-2","url":"https://huggingface.co/google/embeddinggemma-2","zeroShotPct":99,"activeParamsB":0.137,"totalParamsB":0.271,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-10-06","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["Bengali","Chinese","Chinese (Traditional)","English","Finnish","French","German","Hindi","Indonesian","Iranian Persian","Japanese","Korean","Russian","Spanish","Standard Arabic","Swahili (individual language)","Telugu","Thai","Yoruba"],"citation":"\n@misc{vera2025embeddinggemmapowerfullightweighttext,\n title={EmbeddingGemma: Powerful and Lightweight Text Representations},\n author={Henrique Schechter Vera and Sahil Dua and Biao Zhang and Daniel Salz and Ryan Mullins and Sindhu Raghuram Panyam and Sara Smoot and Iftekhar Naim and Joe Zou and Feiyang Chen and Daniel Cer and Alice Lisak and Min Choi and Lucas Gonzalez and Omar Sanseviero and Glenn Cameron and Ian Ballantyne and Kat Black and Kaifeng Chen and Weiyi Wang and Zhe Li and Gus Martins and Jinhyuk Lee and Mark Sherwood and Juyeong Ji and Renjie Wu and Jingxiao Zheng and Jyotinder Singh and Abheesht Sharma and Divyashree Sreepathihalli and Aashi Jain and Adham Elarabawy and AJ Co and Andreas Doumanoglou and Babak Samari and Ben Hora and Brian Potetz and Dahun Kim and Enrique Alfonseca and Fedor Moiseev and Feng Han and Frank Palma Gomez and Gustavo Hernández Ábrego and Hesen Zhang and Hui Hui and Jay Han and Karan Gill and Ke Chen and Koert Chen and Madhuri Shanbhogue and Michael Boratko and Paul Suganthan and Sai Meher Karthik Duddu and Sandeep Mariserla and Setareh Ariafar and Shanfeng Zhang and Shijie Zhang and Simon Baumgartner and Sonam Goenka and Steve Qiu and Tanmaya Dabral and Trevor Walker and Vikram Rao and Waleed Khawaja and Wenlei Zhou and Xiaoqi Ren and Ye Xia and Yichang Chen and Yi-Ting Chen and Zhe Dong and Zhongli Ding and Francesco Visin and Gaël Liu and Jiageng Zhang and Kathleen Kenealy and Michelle Casbon and Ravin Kumar and Thomas Mesnard and Zach Gleicher and Cormac Brick and Olivier Lacombe and Adam Roberts and Qin Yin and Yunhsuan Sung and Raphael Hoffmann and Tris Warkentin and Armand Joulin and Tom Duerig and Mojtaba Seyedhosseini},\n year={2025},\n eprint={2509.20354},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2509.20354},\n}","memoryUsageMb":1034.0,"license":"gemma","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["embeddinggemma"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.137,"totalParamsB":0.271,"embeddingDim":768,"maxTokens":8192,"meanTask":0.6052027126050208,"meanTaskType":0.5283188442748062,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.006051,"MultilabelClassification":0.25231828695652175,"Classification":0.6229561070793433,"Retrieval":0.6059860204115136,"Reranking":0.6231985277777777,"STS":0.7388989938446969,"Clustering":0.4757625314114622,"PairClassification":0.7869606645021644,"BitextMining":0.6548394664897764},"scoresByTask":{"SemRel24STS":0.6543213333333333,"FinParaSTS":0.17773699999999998,"PolEmo2.0-OUT":0.581984,"JSICK":0.842436,"SwednClusteringP2P":0.427352,"MalteseNewsClassification":0.287418,"CzechProductReviewSentimentClassification":0.583984,"STS13":0.864629,"IndicCrosslingualSTS":0.36816675000000004,"SprintDuplicateQuestions":0.965174,"WikipediaRerankingMultilingual":0.87367,"EstonianValenceClassification":0.387042,"STS15":0.884778,"MLQARetrieval":0.7528401020408163,"HALClusteringS2S.v2":0.281485,"PoemSentimentClassification":0.5650685,"BrazilianToxicTweetsClassification":0.308594,"StatcanDialogueDatasetRetrieval":0.41954,"STS17":0.8578878181818183,"NordicLangClassification":0.658833,"ArXivHierarchicalClusteringP2P":0.634634,"NusaTranslationBitextMining":0.7125450909090909,"MassiveIntentClassification":0.6151675294117647,"CLSClusteringP2P.v2":0.380487,"WikipediaRetrievalMultilingual":0.89466375,"SinhalaNewsClassification":0.695898,"StackExchangeClustering.v2":0.640754,"MasakhaNEWSClassification":0.754439,"NusaX-senti":0.6887916666666666,"CataloniaTweetClassification":0.49235925,"OpusparcusPC":0.9239551666666667,"ArmenianParaphrasePC":0.935087,"KorHateSpeechMLClassification":0.120128,"WikiClusteringP2P.v2":0.2711025714285714,"AmazonCounterfactualClassification":0.858228375,"ArXivHierarchicalClusteringS2S":0.604737,"NepaliNewsClassification":0.954932,"ArguAna":0.59828,"AILAStatutes":0.2528,"ToxicConversationsClassification":0.910059,"IndicGenBenchFloresBitextMining":0.8674811379310345,"CSFDSKMovieReviewSentimentClassification":0.349658,"SiswatiNewsClassification":0.4775,"CEDRClassification":0.503241,"TempReasonL1":0.01251,"BiorxivClusteringP2P.v2":0.471076,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.810191,"SpartQA":0.11766,"BUCC.v2":0.9848632500000001,"BornholmBitextMining":0.494748,"BibleNLPBitextMining":0.12265514553140096,"SIB200ClusteringS2S":0.24451924365482233,"RTE3":0.86705325,"TERRa":0.571071,"SwahiliNewsClassification":0.608789,"DBpediaClassification":0.918359,"HagridRetrieval":0.98822,"MultiHateClassification":0.5728,"WikiCitiesClustering":0.819313,"Tatoeba":0.5424186428571429,"STS14":0.827498,"KurdishSentimentClassification":0.642325,"PpcPC":0.8849,"STSBenchmark":0.87482,"MasakhaNEWSClusteringS2S":0.4597886875,"MIRACLRetrievalHardNegatives":0.6614261111111112,"NTREXBitextMining":0.7395919368475992,"DalajClassification":0.502252,"SICK-R":0.822001,"NollySentiBitextMining":0.34488175,"SCIDOCS":0.18193,"BelebeleRetrieval":0.719068404255319,"IsiZuluNewsClassification":0.242287,"TwitterHjerneRetrieval":0.67461,"STSB":0.8136735,"STSES":0.811907,"KorSarcasmClassification":0.578418,"WinoGrande":0.54704,"SentimentAnalysisHindi":0.681685,"RuBQReranking":0.70743,"CyrillicTurkicLangClassification":0.684912,"FilipinoShopeeReviewsClassification":0.371582,"STS22.v2":0.6971495,"RomaniBibleClustering":0.392121,"MacedonianTweetSentimentClassification":0.579982,"AfriSentiClassification":0.4570498333333333,"STS12":0.777991,"LegalBenchCorporateLobbying":0.93411,"TweetTopicSingleClassification":0.72977,"MultiEURLEXMultilabelClassification":0.0422104347826087,"T2Reranking":0.6617,"GreekLegalCodeClassification":0.26325699999999996,"SlovakMovieReviewSentimentClassification":0.784277,"FaroeseSTS":0.715827,"SwissJudgementClassification":0.551286,"TwitterURLCorpus":0.868237,"TRECCOVID":0.79008,"IndicLangClassification":0.855069,"GujaratiNewsClassification":0.874203,"ItaCaseholdClassification":0.688688,"FloresBitextMining":0.5488180648362794,"Robust04InstructionRetrieval":-0.028519,"BulgarianStoreReviewSentimentClassfication":0.682967,"OdiaNewsClassification":0.728704,"TswanaNewsClassification":0.313758,"PlscClusteringP2P.v2":0.71336,"FinancialPhrasebankClassification":0.822306,"News21InstructionRetrieval":-0.008677,"StackOverflowQA":0.87323,"Core17InstructionRetrieval":0.019043,"WebLINXCandidatesReranking":0.12134116666666667,"PAC":0.671242,"VoyageMMarcoReranking":0.60636,"MedrxivClusteringP2P.v2":0.425535,"GermanSTSBenchmark":0.831561,"AlloprofReranking":0.76869,"AlloProfClusteringS2S.v2":0.508403,"ScalaClassification":0.50075675,"indonli":0.547547,"IN22GenBitextMining":0.7358586818181818,"CovidRetrieval":0.76974,"BigPatentClustering.v2":0.337533,"PawsXPairClassification":0.5460847857142858,"NusaXBitextMining":0.6717113636363636,"NusaParagraphEmotionClassification":0.4511697,"LEMBPasskeyRetrieval":0.72,"CTKFactsNLI":0.7877055,"DiaBlaBitextMining":0.817515,"IndonesianIdClickbaitClassification":0.645083,"XNLI":0.7597526071428572},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":41,"model":{"name":"BidirLM/BidirLM-0.6B-Embedding","url":"https://huggingface.co/BidirLM/BidirLM-0.6B-Embedding","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2026-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Kirghiz","Korean","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Marathi","Modern Greek (1453-)","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Pedi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@misc{boizard2026bidirlmtextomnimodalbidirectional,\n title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},\n author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},\n year={2026},\n eprint={2604.02045},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2604.02045},\n}","memoryUsageMb":1137.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/BidirLM/BidirLM-Contrastive","adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","ATEC","AdvertiseGen","BQ","CAIL2019-SCM","CHEF","CINLID","ChatMed_Consult_Dataset","ChineseSTS","CmedqaRetrieval","Cmnli","CodeFeedback","DRCD","DuRetrieval","ELI5_custom","ESCIReranking","EmotionClassification","Expertqa","FollowIR","GooAQ","InF-IR","JW300","LCSTS","MAmmoTH2","MEDI2BGE","MIRACLRetrieval","MSMARCO","Multi-CPR","MultiLongDocReranking","NFCorpus","NaturalQuestions","OPUS-100","OpenOrca","PAQ","PubMedQA","QBQTC","RefGPT","SQuAD","SearchQA","SimCLUE","SyntheticClassificationData","T2Ranking","TED Talks","THUCNews","TriviaQA","UMETRIP-QA","WebCPM","WikiAnswers","WikiMatrix","cCOVID-News","ccnews","cmrc2018","contract-nli","csl","dureader_mrc","law-gpt","lawzhidao","lima-chinese","mmarco-chinese","mnli","nli_zh","nllb","ocnli","rag-dataset-12000","simcse_sup_nli","webgpt_comparisons","webqa","wikipedia-nq","xnli_zh","yahoo-answers"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":8192,"meanTask":0.6041920978359634,"meanTaskType":0.5285171877694232,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.011666333333333334,"MultilabelClassification":0.2410315391304348,"Classification":0.6250123282893918,"Retrieval":0.5905713564164832,"Reranking":0.626544625,"STS":0.7073993702651515,"Clustering":0.49515773868348895,"PairClassification":0.7837580443722942,"BitextMining":0.6755133544342312},"scoresByTask":{"SemRel24STS":0.5846905,"FinParaSTS":0.198802,"PolEmo2.0-OUT":0.696356,"JSICK":0.808134,"SwednClusteringP2P":0.4381915,"MalteseNewsClassification":0.321027,"CzechProductReviewSentimentClassification":0.595068,"STS13":0.866599,"IndicCrosslingualSTS":0.21552166666666664,"SprintDuplicateQuestions":0.956555,"WikipediaRerankingMultilingual":0.82884125,"EstonianValenceClassification":0.422372,"STS15":0.88647,"MLQARetrieval":0.6651323469387754,"HALClusteringS2S.v2":0.303975,"PoemSentimentClassification":0.6483285,"BrazilianToxicTweetsClassification":0.230566,"StatcanDialogueDatasetRetrieval":0.33048500000000003,"STS17":0.7746170909090909,"NordicLangClassification":0.607,"ArXivHierarchicalClusteringP2P":0.643759,"NusaTranslationBitextMining":0.7731034545454545,"MassiveIntentClassification":0.5940962156862745,"CLSClusteringP2P.v2":0.427665,"WikipediaRetrievalMultilingual":0.8400412500000001,"SinhalaNewsClassification":0.553857,"StackExchangeClustering.v2":0.6366,"MasakhaNEWSClassification":0.76009925,"NusaX-senti":0.6585208333333333,"CataloniaTweetClassification":0.46039399999999997,"OpusparcusPC":0.9457644166666667,"ArmenianParaphrasePC":0.931895,"KorHateSpeechMLClassification":0.108198,"WikiClusteringP2P.v2":0.29574814285714285,"AmazonCounterfactualClassification":0.737615875,"ArXivHierarchicalClusteringS2S":0.627477,"NepaliNewsClassification":0.923584,"ArguAna":0.53028,"AILAStatutes":0.26952,"ToxicConversationsClassification":0.672314,"IndicGenBenchFloresBitextMining":0.8152150862068965,"CSFDSKMovieReviewSentimentClassification":0.366504,"SiswatiNewsClassification":0.745,"CEDRClassification":0.495218,"TempReasonL1":0.01175,"BiorxivClusteringP2P.v2":0.451932,"NorwegianCourtsBitextMining":0.919591,"PunjabiNewsClassification":0.816561,"SpartQA":0.04992,"BUCC.v2":0.98745925,"BornholmBitextMining":0.469271,"BibleNLPBitextMining":0.12842380374396134,"SIB200ClusteringS2S":0.34794223857868023,"RTE3":0.87761025,"TERRa":0.532683,"SwahiliNewsClassification":0.620996,"DBpediaClassification":0.951807,"HagridRetrieval":0.98847,"MultiHateClassification":0.6469909090909091,"WikiCitiesClustering":0.778238,"Tatoeba":0.6035280803571429,"STS14":0.826496,"KurdishSentimentClassification":0.72159,"PpcPC":0.906108,"STSBenchmark":0.861102,"MasakhaNEWSClusteringS2S":0.5019999375,"MIRACLRetrievalHardNegatives":0.6260211111111111,"NTREXBitextMining":0.766550872651357,"DalajClassification":0.499099,"SICK-R":0.805413,"NollySentiBitextMining":0.45492775,"SCIDOCS":0.21505,"BelebeleRetrieval":0.6639147074468086,"IsiZuluNewsClassification":0.250665,"TwitterHjerneRetrieval":0.67878,"STSB":0.8215520000000001,"STSES":0.744114,"KorSarcasmClassification":0.551904,"WinoGrande":0.44112,"SentimentAnalysisHindi":0.660437,"RuBQReranking":0.72784,"CyrillicTurkicLangClassification":0.651318,"FilipinoShopeeReviewsClassification":0.3572265,"STS22.v2":0.6654436666666667,"RomaniBibleClustering":0.401241,"MacedonianTweetSentimentClassification":0.576032,"AfriSentiClassification":0.45803258333333335,"STS12":0.815699,"LegalBenchCorporateLobbying":0.93245,"TweetTopicSingleClassification":0.761902,"MultiEURLEXMultilabelClassification":0.05014869565217392,"T2Reranking":0.66512,"GreekLegalCodeClassification":0.4571775,"SlovakMovieReviewSentimentClassification":0.807422,"FaroeseSTS":0.631154,"SwissJudgementClassification":0.53249,"TwitterURLCorpus":0.865583,"TRECCOVID":0.81262,"IndicLangClassification":0.820626,"GujaratiNewsClassification":0.761077,"ItaCaseholdClassification":0.762443,"FloresBitextMining":0.5987318042113398,"Robust04InstructionRetrieval":-0.028755,"BulgarianStoreReviewSentimentClassfication":0.643407,"OdiaNewsClassification":0.657884,"TswanaNewsClassification":0.358522,"PlscClusteringP2P.v2":0.732788,"FinancialPhrasebankClassification":0.853578,"News21InstructionRetrieval":0.039008,"StackOverflowQA":0.91418,"Core17InstructionRetrieval":0.024746,"WebLINXCandidatesReranking":0.10946650000000001,"PAC":0.677961,"VoyageMMarcoReranking":0.64635,"MedrxivClusteringP2P.v2":0.425434,"GermanSTSBenchmark":0.812582,"AlloprofReranking":0.78165,"AlloProfClusteringS2S.v2":0.490307,"ScalaClassification":0.51236575,"indonli":0.543097,"IN22GenBitextMining":0.6707138695652174,"CovidRetrieval":0.81305,"BigPatentClustering.v2":0.419226,"PawsXPairClassification":0.5535257857142858,"NusaXBitextMining":0.7372066363636364,"NusaParagraphEmotionClassification":0.4730132,"LEMBPasskeyRetrieval":0.8475,"CTKFactsNLI":0.76556,"DiaBlaBitextMining":0.856951,"IndonesianIdClickbaitClassification":0.591893,"XNLI":0.7429570357142856},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":42,"model":{"name":"Salesforce/SFR-Embedding-2_R","url":"https://huggingface.co/Salesforce/SFR-Embedding-2_R","zeroShotPct":96,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-06-14","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13563.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-mistral-7b-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","STS12","STS22","STSBenchmark","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":0.5979779866849526,"meanTaskType":0.5283178283677334,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018008,"MultilabelClassification":0.2518798227828036,"Classification":0.5901297281025372,"Retrieval":0.5793426107887993,"Reranking":0.6304058307677637,"STS":0.7104117085098223,"Clustering":0.5365150316729014,"PairClassification":0.7858276916137644,"BitextMining":0.6883560310712092},"scoresByTask":{"SemRel24STS":0.6670738345759623,"FinParaSTS":0.1924935152558195,"PolEmo2.0-OUT":0.5540485829959514,"JSICK":0.8378054628722682,"SwednClusteringP2P":0.5468268106137036,"MalteseNewsClassification":0.37997387897257295,"CzechProductReviewSentimentClassification":0.556689453125,"STS13":0.8233675805831938,"IndicCrosslingualSTS":0.21696509733881733,"SprintDuplicateQuestions":0.9766692232687736,"WikipediaRerankingMultilingual":0.8937412037037037,"EstonianValenceClassification":0.3801955990220049,"STS15":0.8576600770180892,"MLQARetrieval":0.6508361224489796,"HALClusteringS2S.v2":0.300900629861384,"PoemSentimentClassification":0.5960851648351648,"BrazilianToxicTweetsClassification":0.228515625,"StatcanDialogueDatasetRetrieval":0.48161750000000003,"STS17":0.809712191114691,"NordicLangClassification":0.6698333333333333,"ArXivHierarchicalClusteringP2P":0.653697253315525,"NusaTranslationBitextMining":0.7861524476308837,"MassiveIntentClassification":0.603147375859275,"CLSClusteringP2P.v2":0.4591065703717877,"WikipediaRetrievalMultilingual":0.901375,"SinhalaNewsClassification":0.52333984375,"StackExchangeClustering.v2":0.7499008423226651,"MasakhaNEWSClassification":0.7316713608175158,"NusaX-senti":0.6763958333333333,"CataloniaTweetClassification":0.510357166371851,"OpusparcusPC":0.9399850702336447,"ArmenianParaphrasePC":0.9189420497662172,"KorHateSpeechMLClassification":0.09641629847815417,"WikiClusteringP2P.v2":0.31012654375781074,"AmazonCounterfactualClassification":0.8711675034408363,"ArXivHierarchicalClusteringS2S":0.6399603433974237,"NepaliNewsClassification":0.9373046875,"ArguAna":0.56592,"AILAStatutes":0.41682,"ToxicConversationsClassification":0.908251953125,"IndicGenBenchFloresBitextMining":0.8215390084150361,"CSFDSKMovieReviewSentimentClassification":0.345166015625,"SiswatiNewsClassification":0.39875,"CEDRClassification":0.5072263549415515,"TempReasonL1":0.02983,"BiorxivClusteringP2P.v2":0.5422313821757675,"NorwegianCourtsBitextMining":0.9305555555555557,"PunjabiNewsClassification":0.5598726114649681,"SpartQA":0.08838,"BUCC.v2":0.989025517606559,"BornholmBitextMining":0.5075017316017315,"BibleNLPBitextMining":0.1555450226561159,"SIB200ClusteringS2S":0.3319243053768026,"RTE3":0.8716708305151571,"TERRa":0.5849395582717876,"SwahiliNewsClassification":0.6037109375,"DBpediaClassification":0.9087890625,"HagridRetrieval":0.98572,"MultiHateClassification":0.6773,"WikiCitiesClustering":0.9110235415072879,"Tatoeba":0.6603485000615491,"STS14":0.7987787992067579,"KurdishSentimentClassification":0.6741821841972824,"PpcPC":0.8714889656857301,"STSBenchmark":0.8355880011831174,"MasakhaNEWSClusteringS2S":0.49683898270543553,"MIRACLRetrievalHardNegatives":0.46744111111111114,"NTREXBitextMining":0.7728248193085587,"DalajClassification":0.5269144144144146,"SICK-R":0.7699265897099083,"NollySentiBitextMining":0.4639200724359499,"SCIDOCS":0.24687,"BelebeleRetrieval":0.6565772606382979,"IsiZuluNewsClassification":0.2110372340425532,"TwitterHjerneRetrieval":0.774,"STSB":0.7803711069458885,"STSES":0.7858187209410636,"KorSarcasmClassification":0.558154296875,"WinoGrande":0.321,"SentimentAnalysisHindi":0.6173571859257712,"RuBQReranking":0.7413185334224739,"CyrillicTurkicLangClassification":0.627392578125,"FilipinoShopeeReviewsClassification":0.375439453125,"STS22.v2":0.6715548393751484,"RomaniBibleClustering":0.3943440343552257,"MacedonianTweetSentimentClassification":0.5021949078138719,"AfriSentiClassification":0.4245752014931837,"STS12":0.7568517860427304,"LegalBenchCorporateLobbying":0.93563,"TweetTopicSingleClassification":0.675073833431778,"MultiEURLEXMultilabelClassification":0.04726695652173913,"T2Reranking":0.6734923556470908,"GreekLegalCodeClassification":0.1968505859375,"SlovakMovieReviewSentimentClassification":0.84658203125,"FaroeseSTS":0.7618155073073155,"SwissJudgementClassification":0.5605710886186371,"TwitterURLCorpus":0.880245996306869,"TRECCOVID":0.88437,"IndicLangClassification":0.7779012426852521,"GujaratiNewsClassification":0.6438543247344461,"ItaCaseholdClassification":0.6407239819004524,"FloresBitextMining":0.5914761276247826,"Robust04InstructionRetrieval":-0.065751,"BulgarianStoreReviewSentimentClassfication":0.7626373626373626,"OdiaNewsClassification":0.5517802508570987,"TswanaNewsClassification":0.33921971252566735,"PlscClusteringP2P.v2":0.747676187734729,"FinancialPhrasebankClassification":0.757773851590106,"News21InstructionRetrieval":0.007358,"StackOverflowQA":0.92378,"Core17InstructionRetrieval":0.004369,"WebLINXCandidatesReranking":0.09839626841685256,"PAC":0.6481899797277728,"VoyageMMarcoReranking":0.5911690846119884,"MedrxivClusteringP2P.v2":0.49590411571633836,"GermanSTSBenchmark":0.8008042266863844,"AlloprofReranking":0.7843175388044725,"AlloProfClusteringS2S.v2":0.5584624917823335,"ScalaClassification":0.53289794921875,"indonli":0.525365303316593,"IN22GenBitextMining":0.6264714267442265,"CovidRetrieval":0.7205,"BigPatentClustering.v2":0.4453164717722028,"PawsXPairClassification":0.5678388636269834,"NusaXBitextMining":0.7827707581782448,"NusaParagraphEmotionClassification":0.3339264706826883,"LEMBPasskeyRetrieval":0.3775,"CTKFactsNLI":0.7889785247761882,"DiaBlaBitextMining":0.8604974161065283,"IndonesianIdClickbaitClassification":0.5782717020002759,"XNLI":0.7179802219834659},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","STS12","STS22.v2","STSBenchmark"],"experiments":null},{"rank":43,"model":{"name":"codefuse-ai/F2LLM-v2-330M","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-330M","zeroShotPct":88,"activeParamsB":0.198,"totalParamsB":0.334,"embeddingDim":896,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":1275.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":0.198,"totalParamsB":0.334,"embeddingDim":896,"maxTokens":40960,"meanTask":0.6083682593488806,"meanTaskType":0.5327376193740775,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.016544333333333335,"MultilabelClassification":0.24562215652173913,"Classification":0.6169409941109109,"Retrieval":0.5649661861005237,"Reranking":0.6334734652777778,"STS":0.7273399371843434,"Clustering":0.5468648532989259,"PairClassification":0.7779432207792208,"BitextMining":0.6980320944265892},"scoresByTask":{"SemRel24STS":0.6498669166666667,"FinParaSTS":0.1831195,"PolEmo2.0-OUT":0.589676,"JSICK":0.823661,"SwednClusteringP2P":0.5052875,"MalteseNewsClassification":0.351894,"CzechProductReviewSentimentClassification":0.563965,"STS13":0.852266,"IndicCrosslingualSTS":0.32861724999999997,"SprintDuplicateQuestions":0.96257,"WikipediaRerankingMultilingual":0.872510625,"EstonianValenceClassification":0.353912,"STS15":0.886049,"MLQARetrieval":0.6979959183673469,"HALClusteringS2S.v2":0.258728,"PoemSentimentClassification":0.6158425000000001,"BrazilianToxicTweetsClassification":0.220654,"StatcanDialogueDatasetRetrieval":0.24535,"STS17":0.7994322727272727,"NordicLangClassification":0.594167,"ArXivHierarchicalClusteringP2P":0.643288,"NusaTranslationBitextMining":0.7942593636363636,"MassiveIntentClassification":0.7702046274509804,"CLSClusteringP2P.v2":0.717415,"WikipediaRetrievalMultilingual":0.87637,"SinhalaNewsClassification":0.699316,"StackExchangeClustering.v2":0.711864,"MasakhaNEWSClassification":0.7602449375,"NusaX-senti":0.6421458333333333,"CataloniaTweetClassification":0.48350150000000003,"OpusparcusPC":0.9356827500000001,"ArmenianParaphrasePC":0.933672,"KorHateSpeechMLClassification":0.090083,"WikiClusteringP2P.v2":0.2821747857142857,"AmazonCounterfactualClassification":0.9001115,"ArXivHierarchicalClusteringS2S":0.613511,"NepaliNewsClassification":0.939697,"ArguAna":0.5801,"AILAStatutes":0.26226,"ToxicConversationsClassification":0.906299,"IndicGenBenchFloresBitextMining":0.889957948275862,"CSFDSKMovieReviewSentimentClassification":0.34165,"SiswatiNewsClassification":0.6275,"CEDRClassification":0.523645,"TempReasonL1":0.01325,"BiorxivClusteringP2P.v2":0.586002,"NorwegianCourtsBitextMining":0.929094,"PunjabiNewsClassification":0.754777,"SpartQA":0.13135,"BUCC.v2":0.9876795,"BornholmBitextMining":0.464733,"BibleNLPBitextMining":0.15901060386473428,"SIB200ClusteringS2S":0.6792543045685279,"RTE3":0.86216525,"TERRa":0.557964,"SwahiliNewsClassification":0.606738,"DBpediaClassification":0.842236,"HagridRetrieval":0.98694,"MultiHateClassification":0.5793181818181817,"WikiCitiesClustering":0.877457,"Tatoeba":0.6235007767857143,"STS14":0.827708,"KurdishSentimentClassification":0.654504,"PpcPC":0.865581,"STSBenchmark":0.869486,"MasakhaNEWSClusteringS2S":0.4585160625,"MIRACLRetrievalHardNegatives":0.5787688888888889,"NTREXBitextMining":0.8056587390396659,"DalajClassification":0.496622,"SICK-R":0.766394,"NollySentiBitextMining":0.471619,"SCIDOCS":0.19936,"BelebeleRetrieval":0.6990965425531914,"IsiZuluNewsClassification":0.256782,"TwitterHjerneRetrieval":0.6456,"STSB":0.826603,"STSES":0.791204,"KorSarcasmClassification":0.553418,"WinoGrande":0.34897,"SentimentAnalysisHindi":0.593862,"RuBQReranking":0.69627,"CyrillicTurkicLangClassification":0.793799,"FilipinoShopeeReviewsClassification":0.3495605,"STS22.v2":0.6944105555555555,"RomaniBibleClustering":0.415681,"MacedonianTweetSentimentClassification":0.455048,"AfriSentiClassification":0.4164650833333334,"STS12":0.813965,"LegalBenchCorporateLobbying":0.93736,"TweetTopicSingleClassification":0.771884,"MultiEURLEXMultilabelClassification":0.04183478260869565,"T2Reranking":0.66639,"GreekLegalCodeClassification":0.240454,"SlovakMovieReviewSentimentClassification":0.744092,"FaroeseSTS":0.698931,"SwissJudgementClassification":0.5507073333333333,"TwitterURLCorpus":0.862989,"TRECCOVID":0.52932,"IndicLangClassification":0.855286,"GujaratiNewsClassification":0.809029,"ItaCaseholdClassification":0.645249,"FloresBitextMining":0.621007041002608,"Robust04InstructionRetrieval":-0.032731,"BulgarianStoreReviewSentimentClassfication":0.715385,"OdiaNewsClassification":0.727265,"TswanaNewsClassification":0.322382,"PlscClusteringP2P.v2":0.71984,"FinancialPhrasebankClassification":0.72182,"News21InstructionRetrieval":0.002743,"StackOverflowQA":0.92002,"Core17InstructionRetrieval":-0.019645,"WebLINXCandidatesReranking":0.11175016666666666,"PAC":0.642427,"VoyageMMarcoReranking":0.6948,"MedrxivClusteringP2P.v2":0.49182,"GermanSTSBenchmark":0.8257255,"AlloprofReranking":0.75912,"AlloProfClusteringS2S.v2":0.419655,"ScalaClassification":0.64350575,"indonli":0.520122,"IN22GenBitextMining":0.7284172549407115,"CovidRetrieval":0.75478,"BigPatentClustering.v2":0.369344,"PawsXPairClassification":0.5772847142857144,"NusaXBitextMining":0.7482610000000001,"NusaParagraphEmotionClassification":0.40268699999999996,"LEMBPasskeyRetrieval":0.7625,"CTKFactsNLI":0.7621055,"DiaBlaBitextMining":0.851219,"IndonesianIdClickbaitClassification":0.594927,"XNLI":0.7172392142857144},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":44,"model":{"name":"Alibaba-NLP/gte-Qwen1.5-7B-instruct","url":"https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct","zeroShotPct":-1,"activeParamsB":6.477,"totalParamsB":7.099,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-20","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":29449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":6.477,"totalParamsB":7.099,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.05358333333333332,"MultilabelClassification":0.23451109149378552,"Classification":0.5823944269177755,"Retrieval":0.5776650079723576,"Clustering":0.5226252467056064,"PairClassification":0.8457331377224151,"BitextMining":0.6079808430957607},"scoresByTask":{"SemRel24STS":0.5527935,"FinParaSTS":0.253549,"PolEmo2.0-OUT":0.470445,"JSICK":0.707808,"SwednClusteringP2P":0.48324449999999997,"MalteseNewsClassification":0.308098,"CzechProductReviewSentimentClassification":0.551221,"STS13":0.8862720469210904,"IndicCrosslingualSTS":0.23876891666666666,"SprintDuplicateQuestions":0.9606741547889861,"WikipediaRerankingMultilingual":0.8835913125,"EstonianValenceClassification":0.426284,"STS15":0.8750432670473445,"MLQARetrieval":0.7011052040816326,"HALClusteringS2S.v2":0.299673,"PoemSentimentClassification":0.568425,"BrazilianToxicTweetsClassification":0.215088,"StatcanDialogueDatasetRetrieval":0.353085,"NordicLangClassification":0.7294,"ArXivHierarchicalClusteringP2P":0.6726,"NusaTranslationBitextMining":0.6665869999999999,"MassiveIntentClassification":0.5680241078431373,"CLSClusteringP2P.v2":0.463449,"WikipediaRetrievalMultilingual":0.8580393749999999,"SinhalaNewsClassification":0.432227,"StackExchangeClustering.v2":0.805959,"MasakhaNEWSClassification":0.6986899375,"NusaX-senti":0.6506666666666666,"CataloniaTweetClassification":0.522397,"OpusparcusPC":0.9519259166666667,"ArmenianParaphrasePC":0.905094,"KorHateSpeechMLClassification":0.060236,"WikiClusteringP2P.v2":0.3000939285714286,"AmazonCounterfactualClassification":0.79854725,"ArXivHierarchicalClusteringS2S":0.639121,"NepaliNewsClassification":0.927734,"ArguAna":0.62645,"AILAStatutes":0.31461,"ToxicConversationsClassification":0.7875399999999999,"IndicGenBenchFloresBitextMining":0.7593293275862069,"CSFDSKMovieReviewSentimentClassification":0.332129,"SiswatiNewsClassification":0.42875,"CEDRClassification":0.5477151965993624,"TempReasonL1":0.0184,"BiorxivClusteringP2P.v2":0.55757,"NorwegianCourtsBitextMining":0.923977,"PunjabiNewsClassification":0.575796,"SpartQA":0.16955,"BUCC.v2":0.98975225,"BornholmBitextMining":0.406232,"BibleNLPBitextMining":0.0934515422705314,"SIB200ClusteringS2S":0.3228490812182741,"RTE3":0.90852175,"TERRa":0.6949609366786602,"SwahiliNewsClassification":0.572803,"DBpediaClassification":0.960986,"HagridRetrieval":0.98747,"MultiHateClassification":0.6842545454545454,"WikiCitiesClustering":0.907419,"Tatoeba":0.5678551071428571,"STS14":0.8332346434965836,"KurdishSentimentClassification":0.627378,"PpcPC":0.926785,"STSBenchmark":0.8735031011815017,"MasakhaNEWSClusteringS2S":0.4659294375,"MIRACLRetrievalHardNegatives":0.4285888888888889,"NTREXBitextMining":0.6700759890396659,"DalajClassification":0.501239,"SICK-R":0.7914737320486729,"NollySentiBitextMining":0.32197075,"SCIDOCS":0.27694,"BelebeleRetrieval":0.5994616755319149,"IsiZuluNewsClassification":0.190824,"TwitterHjerneRetrieval":0.64255,"STSES":0.725065,"KorSarcasmClassification":0.557422,"WinoGrande":0.64799,"SentimentAnalysisHindi":0.573431,"RuBQReranking":0.7028418717346855,"CyrillicTurkicLangClassification":0.622461,"FilipinoShopeeReviewsClassification":0.368091,"STS22.v2":0.6879782222222223,"RomaniBibleClustering":0.390973,"MacedonianTweetSentimentClassification":0.538191,"AfriSentiClassification":0.43942975,"STS12":0.7652287451692155,"LegalBenchCorporateLobbying":0.94513,"TweetTopicSingleClassification":0.751093,"MultiEURLEXMultilabelClassification":0.04141826086956522,"GreekLegalCodeClassification":0.101904,"SlovakMovieReviewSentimentClassification":0.701514,"FaroeseSTS":0.676476,"SwissJudgementClassification":0.539173,"TwitterURLCorpus":0.867900899669397,"TRECCOVID":0.7272,"IndicLangClassification":0.796344,"GujaratiNewsClassification":0.768589,"ItaCaseholdClassification":0.723982,"FloresBitextMining":0.4585669072491065,"Robust04InstructionRetrieval":0.058827,"BulgarianStoreReviewSentimentClassfication":0.681319,"OdiaNewsClassification":0.641372,"TswanaNewsClassification":0.275975,"PlscClusteringP2P.v2":0.72294,"FinancialPhrasebankClassification":0.777871,"News21InstructionRetrieval":0.018197,"StackOverflowQA":0.91017,"Core17InstructionRetrieval":0.083726,"WebLINXCandidatesReranking":0.11768416666666666,"PAC":0.663771,"VoyageMMarcoReranking":0.474524,"MedrxivClusteringP2P.v2":0.49515,"GermanSTSBenchmark":0.809884,"AlloprofReranking":0.755628,"AlloProfClusteringS2S.v2":0.55302,"ScalaClassification":0.5556639999999999,"indonli":0.638804,"IN22GenBitextMining":0.5759286324110672,"CovidRetrieval":0.80873,"BigPatentClustering.v2":0.282013,"PawsXPairClassification":0.7325268571428571,"NusaXBitextMining":0.6089824545454546,"NusaParagraphEmotionClassification":0.3581891,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.861944,"DiaBlaBitextMining":0.861042,"IndonesianIdClickbaitClassification":0.601414,"XNLI":0.853927},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":45,"model":{"name":"openai/text-embedding-3-large","url":"https://openai.com/index/new-embedding-models-and-api-updates/","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":8191.0,"releaseDate":"2024-01-25","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["openai"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":8191,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.026765020547623527,"MultilabelClassification":0.22027121578726816,"Classification":0.6026862581032166,"Retrieval":0.5932486238293584,"Reranking":0.6388514405002738,"Clustering":0.4705492329733399,"BitextMining":0.6215164057963964},"scoresByTask":{"SemRel24STS":0.6524806518504508,"FinParaSTS":0.23505001009883802,"PolEmo2.0-OUT":0.5006072874493926,"JSICK":0.812385607766652,"SwednClusteringP2P":0.372099,"MalteseNewsClassification":0.27488027862429254,"CzechProductReviewSentimentClassification":0.588037109375,"STS13":0.8609681753,"IndicCrosslingualSTS":0.12593334632315248,"WikipediaRerankingMultilingual":0.8884176752645503,"EstonianValenceClassification":0.436919315403423,"STS15":0.8848536072,"MLQARetrieval":0.7324698979591836,"HALClusteringS2S.v2":0.2833047052874952,"PoemSentimentClassification":0.5137774725274725,"BrazilianToxicTweetsClassification":0.228125,"StatcanDialogueDatasetRetrieval":0.31098,"NordicLangClassification":0.797367,"ArXivHierarchicalClusteringP2P":0.5951058902834719,"NusaTranslationBitextMining":0.7373321234417616,"MassiveIntentClassification":0.5882194117647058,"CLSClusteringP2P.v2":0.3919650269689925,"WikipediaRetrievalMultilingual":0.89242875,"SinhalaNewsClassification":0.496728515625,"StackExchangeClustering.v2":0.625075212537656,"MasakhaNEWSClassification":0.7335418447804932,"NusaX-senti":0.6706249999999999,"CataloniaTweetClassification":0.5303249999999999,"OpusparcusPC":0.9608057910562459,"ArmenianParaphrasePC":0.9119998195318644,"KorHateSpeechMLClassification":0.09239077074128621,"WikiClusteringP2P.v2":0.2772000134573109,"AmazonCounterfactualClassification":0.7745554117540872,"ArXivHierarchicalClusteringS2S":0.5992750593820826,"NepaliNewsClassification":0.918896484375,"ArguAna":0.57992,"AILAStatutes":0.4185,"ToxicConversationsClassification":0.688232421875,"IndicGenBenchFloresBitextMining":0.6343420902926502,"CSFDSKMovieReviewSentimentClassification":0.405322265625,"SiswatiNewsClassification":0.6125,"CEDRClassification":0.46769394261424024,"TempReasonL1":0.02126,"BiorxivClusteringP2P.v2":0.4064671336706326,"NorwegianCourtsBitextMining":0.940058,"PunjabiNewsClassification":0.729936305732484,"SpartQA":0.0744,"BUCC.v2":0.9897874107902187,"BornholmBitextMining":0.435626,"BibleNLPBitextMining":0.13453410549460348,"SIB200ClusteringS2S":0.2957876900738167,"RTE3":0.872026311556171,"TERRa":0.5807862400836128,"SwahiliNewsClassification":0.645947265625,"DBpediaClassification":0.914794921875,"HagridRetrieval":0.99045,"MultiHateClassification":0.6896545454545454,"WikiCitiesClustering":0.8532907659925846,"Tatoeba":0.6562552035826513,"STS14":0.8115012257,"KurdishSentimentClassification":0.6574232511323603,"PpcPC":0.9147084910522896,"STSBenchmark":0.8356231247,"MasakhaNEWSClusteringS2S":0.4562127132711609,"MIRACLRetrievalHardNegatives":0.5693777777777779,"NTREXBitextMining":0.6759026246466017,"DalajClassification":0.500563,"SICK-R":0.7900399379,"NollySentiBitextMining":0.3602839321315646,"SCIDOCS":0.23071,"BelebeleRetrieval":0.6879388031914894,"IsiZuluNewsClassification":0.285904255319149,"TwitterHjerneRetrieval":0.82489,"STSB":0.8024660879533194,"STSES":0.742164,"KorSarcasmClassification":0.59345703125,"WinoGrande":0.2911,"SentimentAnalysisHindi":0.5674087595513349,"RuBQReranking":0.7518908455520829,"CyrillicTurkicLangClassification":0.47978515625,"FilipinoShopeeReviewsClassification":0.41396484375,"STS22.v2":0.6929491666150667,"RomaniBibleClustering":0.4073484160740575,"MacedonianTweetSentimentClassification":0.5923617208077261,"AfriSentiClassification":0.4450883159199708,"STS12":0.7283588741,"LegalBenchCorporateLobbying":0.95222,"TweetTopicSingleClassification":0.7057294743059658,"MultiEURLEXMultilabelClassification":0.03826608695652174,"T2Reranking":0.6705490914475406,"GreekLegalCodeClassification":0.3770263671875,"SlovakMovieReviewSentimentClassification":0.79189453125,"FaroeseSTS":0.7495941443294787,"SwissJudgementClassification":0.581184243872416,"TRECCOVID":0.79562,"IndicLangClassification":0.5411861397856532,"GujaratiNewsClassification":0.7270864946889225,"ItaCaseholdClassification":0.7013574660633484,"FloresBitextMining":0.47615715710335904,"Robust04InstructionRetrieval":-0.05806961605014164,"BulgarianStoreReviewSentimentClassfication":0.6467032967032967,"OdiaNewsClassification":0.6048828693588888,"TswanaNewsClassification":0.36837782340862424,"PlscClusteringP2P.v2":0.7105706347976926,"FinancialPhrasebankClassification":0.82226148409894,"News21InstructionRetrieval":-0.02026237736978675,"StackOverflowQA":0.92439,"Core17InstructionRetrieval":-0.0019630682229421848,"WebLINXCandidatesReranking":0.09468594259750651,"PAC":0.7033014769765421,"VoyageMMarcoReranking":0.6245420744502883,"MedrxivClusteringP2P.v2":0.3605684448601972,"GermanSTSBenchmark":0.8424308106781443,"AlloprofReranking":0.8030230136896739,"AlloProfClusteringS2S.v2":0.5662427627371602,"ScalaClassification":0.507471,"indonli":0.5335609297461946,"IN22GenBitextMining":0.4445832673362433,"CovidRetrieval":0.68432,"BigPatentClustering.v2":0.3282742581791263,"PawsXPairClassification":0.599144606291114,"NusaXBitextMining":0.7102285252191208,"NusaParagraphEmotionClassification":0.4608730747060118,"LEMBPasskeyRetrieval":0.6975,"CTKFactsNLI":0.8072716605808476,"DiaBlaBitextMining":0.8846228353143801,"IndonesianIdClickbaitClassification":0.6042294428100596,"XNLI":0.7257922787410054},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":46,"model":{"name":"NovaSearch/stella_en_1.5B_v5","url":"https://huggingface.co/NovaSearch/stella_en_1.5B_v5","zeroShotPct":90,"activeParamsB":1.307,"totalParamsB":1.54,"embeddingDim":8960,"maxTokens":131072.0,"releaseDate":"2024-07-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{zhang2025jasperstelladistillationsota,\n title={Jasper and Stella: distillation of SOTA embedding models},\n author={Dun Zhang and Jiacheng Li and Ziyang Zeng and Fulong Wang},\n year={2025},\n eprint={2412.19048},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2412.19048},\n}","memoryUsageMb":5887.0,"license":"mit","publicTrainingCode":"https://github.com/NovaSearch-Team/RAG-Retrieval/blob/c40f4638b705eb77d88305d2056901ed550f9f4b/rag_retrieval/train/embedding/README.md","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":1.307,"totalParamsB":1.54,"embeddingDim":8960,"maxTokens":131072,"meanTask":0.5652904925895377,"meanTaskType":0.4995605098839914,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.002130666666666666,"MultilabelClassification":0.21837350431705854,"Classification":0.5669403998641573,"Retrieval":0.528355161859464,"Reranking":0.6137494702917606,"STS":0.6990535578346755,"Clustering":0.49709935152413626,"PairClassification":0.7847153336252866,"BitextMining":0.5856271429727177},"scoresByTask":{"SemRel24STS":0.5218958939624679,"FinParaSTS":0.18049866467893338,"PolEmo2.0-OUT":0.5860323886639677,"JSICK":0.7786621088920119,"SwednClusteringP2P":0.45420931224587313,"MalteseNewsClassification":0.2903787548976926,"CzechProductReviewSentimentClassification":0.542529296875,"STS13":0.8862429790970509,"IndicCrosslingualSTS":0.11361840565059628,"SprintDuplicateQuestions":0.9611373611590401,"WikipediaRerankingMultilingual":0.8497159060846561,"EstonianValenceClassification":0.3331295843520782,"STS15":0.8850644215638906,"MLQARetrieval":0.6226880612244897,"HALClusteringS2S.v2":0.27348270525053564,"PoemSentimentClassification":0.5995100732600733,"BrazilianToxicTweetsClassification":0.240869140625,"StatcanDialogueDatasetRetrieval":0.3743725,"STS17":0.754324048725048,"NordicLangClassification":0.5509,"ArXivHierarchicalClusteringP2P":0.6452339106857525,"NusaTranslationBitextMining":0.7497428305665395,"MassiveIntentClassification":0.48595058780020867,"CLSClusteringP2P.v2":0.41126914741074055,"WikipediaRetrievalMultilingual":0.78904375,"SinhalaNewsClassification":0.419287109375,"StackExchangeClustering.v2":0.7604248089768724,"MasakhaNEWSClassification":0.6917783256981338,"NusaX-senti":0.6586666666666666,"CataloniaTweetClassification":0.5143427749295587,"OpusparcusPC":0.9253898949164059,"ArmenianParaphrasePC":0.909103786919342,"KorHateSpeechMLClassification":0.07594501718213059,"WikiClusteringP2P.v2":0.28098000498210896,"AmazonCounterfactualClassification":0.8433246404634167,"ArXivHierarchicalClusteringS2S":0.6131306424118907,"NepaliNewsClassification":0.892431640625,"ArguAna":0.5706,"AILAStatutes":0.28124,"ToxicConversationsClassification":0.867626953125,"IndicGenBenchFloresBitextMining":0.5452140974474533,"CSFDSKMovieReviewSentimentClassification":0.353564453125,"SiswatiNewsClassification":0.5537500000000001,"CEDRClassification":0.439798087141339,"TempReasonL1":0.01429,"BiorxivClusteringP2P.v2":0.5238436429933815,"NorwegianCourtsBitextMining":0.9254385964912281,"PunjabiNewsClassification":0.7076433121019108,"SpartQA":0.0439,"BUCC.v2":0.9857448484807625,"BornholmBitextMining":0.4765410256410257,"BibleNLPBitextMining":0.10798511206432344,"SIB200ClusteringS2S":0.24609344532153418,"RTE3":0.8841579366838557,"TERRa":0.5573968359881456,"SwahiliNewsClassification":0.6115234375,"DBpediaClassification":0.9107421875,"HagridRetrieval":0.98721,"MultiHateClassification":0.5853454545454545,"WikiCitiesClustering":0.8828792124799975,"Tatoeba":0.4420360988277256,"STS14":0.8331890044293464,"KurdishSentimentClassification":0.6097131353799699,"PpcPC":0.8744633882550972,"STSBenchmark":0.874855111372355,"MasakhaNEWSClusteringS2S":0.4167922945316068,"MIRACLRetrievalHardNegatives":0.20902277777777778,"NTREXBitextMining":0.6330048893396267,"DalajClassification":0.49977477477477483,"SICK-R":0.8240165924558952,"NollySentiBitextMining":0.3838234957610547,"SCIDOCS":0.26769,"BelebeleRetrieval":0.6011458244680852,"IsiZuluNewsClassification":0.24920212765957447,"TwitterHjerneRetrieval":0.45019,"STSB":0.8050913806120912,"STSES":0.7903547695055785,"KorSarcasmClassification":0.537646484375,"WinoGrande":0.45327,"SentimentAnalysisHindi":0.5002558031630425,"RuBQReranking":0.7353816190634465,"CyrillicTurkicLangClassification":0.443603515625,"FilipinoShopeeReviewsClassification":0.3509765625,"STS22.v2":0.6898296997422999,"RomaniBibleClustering":0.42249686277282483,"MacedonianTweetSentimentClassification":0.46654960491659353,"AfriSentiClassification":0.4153699941682243,"STS12":0.7855520488226414,"LegalBenchCorporateLobbying":0.94676,"TweetTopicSingleClassification":0.6805670407560543,"MultiEURLEXMultilabelClassification":0.04487652173913043,"T2Reranking":0.6712207724142024,"GreekLegalCodeClassification":0.195361328125,"SlovakMovieReviewSentimentClassification":0.750244140625,"FaroeseSTS":0.6477624234117043,"SwissJudgementClassification":0.5549149636956076,"TwitterURLCorpus":0.8736525428661075,"TRECCOVID":0.83842,"IndicLangClassification":0.554027220724571,"GujaratiNewsClassification":0.6185887708649468,"ItaCaseholdClassification":0.7158371040723982,"FloresBitextMining":0.4799458682395927,"Robust04InstructionRetrieval":-0.034921,"BulgarianStoreReviewSentimentClassfication":0.6681318681318682,"OdiaNewsClassification":0.5738939780073613,"TswanaNewsClassification":0.2924024640657084,"PlscClusteringP2P.v2":0.7111740626683348,"FinancialPhrasebankClassification":0.801678445229682,"News21InstructionRetrieval":0.02085,"StackOverflowQA":0.8952,"Core17InstructionRetrieval":0.020463,"WebLINXCandidatesReranking":0.10286961016730323,"PAC":0.686909933391254,"VoyageMMarcoReranking":0.568229712592622,"MedrxivClusteringP2P.v2":0.47229686525218595,"GermanSTSBenchmark":0.8138993724328965,"AlloprofReranking":0.7550792014283335,"AlloProfClusteringS2S.v2":0.4898297698660915,"ScalaClassification":0.50335693359375,"indonli":0.5587535050855057,"IN22GenBitextMining":0.42637996680370643,"CovidRetrieval":0.78285,"BigPatentClustering.v2":0.34945293653644904,"PawsXPairClassification":0.5976557862447939,"NusaXBitextMining":0.6523807700743398,"NusaParagraphEmotionClassification":0.4063709564680484,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.7766095051416986,"DiaBlaBitextMining":0.804915258907952,"IndonesianIdClickbaitClassification":0.5949811572388662,"XNLI":0.7135481266181604},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":47,"model":{"name":"NovaSearch/jasper_en_vision_language_v1","url":"https://huggingface.co/infgrad/jasper_en_vision_language_v1","zeroShotPct":90,"activeParamsB":1.332,"totalParamsB":1.565,"embeddingDim":8960,"maxTokens":131072.0,"releaseDate":"2024-12-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{zhang2025jasperstelladistillationsota,\n title={Jasper and Stella: distillation of SOTA embedding models},\n author={Dun Zhang and Jiacheng Li and Ziyang Zeng and Fulong Wang},\n year={2025},\n eprint={2412.19048},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2412.19048},\n}\n","memoryUsageMb":3802.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/NovaSearch-Team/RAG-Retrieval/blob/c40f4638b705eb77d88305d2056901ed550f9f4b/rag_retrieval/train/embedding/README.md","publicTrainingData":"https://huggingface.co/datasets/infgrad/jasper_text_distill_dataset","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":1.332,"totalParamsB":1.565,"embeddingDim":8960,"maxTokens":131072,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0025889999999999993,"MultilabelClassification":0.22660653913043477,"Retrieval":0.5511889921978445,"BitextMining":0.6063049974619286},"scoresByTask":{"SemRel24STS":0.5496155,"FinParaSTS":0.181305,"PolEmo2.0-OUT":0.587854,"JSICK":0.793177,"SwednClusteringP2P":0.455752,"MalteseNewsClassification":0.336961,"CzechProductReviewSentimentClassification":0.55083,"STS13":0.89692,"IndicCrosslingualSTS":0.11053675,"SprintDuplicateQuestions":0.964021,"WikipediaRerankingMultilingual":0.87109825,"EstonianValenceClassification":0.347311,"STS15":0.901574,"MLQARetrieval":0.6656559183673469,"HALClusteringS2S.v2":0.297597,"PoemSentimentClassification":0.6071335,"BrazilianToxicTweetsClassification":0.215674,"StatcanDialogueDatasetRetrieval":0.355805,"NordicLangClassification":0.5853,"ArXivHierarchicalClusteringP2P":0.686877,"NusaTranslationBitextMining":0.7332389090909092,"CLSClusteringP2P.v2":0.439201,"WikipediaRetrievalMultilingual":0.832000625,"SinhalaNewsClassification":0.430225,"StackExchangeClustering.v2":0.80049,"MasakhaNEWSClassification":0.74193225,"NusaX-senti":0.6685833333333333,"CataloniaTweetClassification":0.521837,"OpusparcusPC":0.929625,"ArmenianParaphrasePC":0.911458,"KorHateSpeechMLClassification":0.05081,"WikiClusteringP2P.v2":0.29981707142857145,"AmazonCounterfactualClassification":0.859297875,"ArXivHierarchicalClusteringS2S":0.647347,"NepaliNewsClassification":0.913916,"ArguAna":0.65204,"AILAStatutes":0.31923,"ToxicConversationsClassification":0.913135,"IndicGenBenchFloresBitextMining":0.6150954051724138,"CSFDSKMovieReviewSentimentClassification":0.358154,"SiswatiNewsClassification":0.54625,"CEDRClassification":0.480659,"TempReasonL1":0.01301,"BiorxivClusteringP2P.v2":0.550404,"NorwegianCourtsBitextMining":0.928363,"PunjabiNewsClassification":0.78535,"SpartQA":0.10635,"BUCC.v2":0.98887625,"BornholmBitextMining":0.555905,"BibleNLPBitextMining":0.12269383574879228,"RTE3":0.889588,"TERRa":0.566219,"SwahiliNewsClassification":0.612402,"DBpediaClassification":0.914941,"HagridRetrieval":0.98543,"MultiHateClassification":0.5948818181818182,"WikiCitiesClustering":0.858664,"Tatoeba":0.47462566964285713,"STS14":0.853155,"KurdishSentimentClassification":0.616658,"PpcPC":0.880841,"STSBenchmark":0.888456,"MasakhaNEWSClusteringS2S":0.479536125,"MIRACLRetrievalHardNegatives":0.27725055555555556,"NTREXBitextMining":0.6403605762004175,"DalajClassification":0.503941,"SICK-R":0.82234,"NollySentiBitextMining":0.3863215,"SCIDOCS":0.24638,"BelebeleRetrieval":0.6201197606382979,"IsiZuluNewsClassification":0.253324,"TwitterHjerneRetrieval":0.34564,"STSB":0.820854,"STSES":0.798621,"KorSarcasmClassification":0.53042,"WinoGrande":0.47656,"SentimentAnalysisHindi":0.504253,"CyrillicTurkicLangClassification":0.487256,"FilipinoShopeeReviewsClassification":0.3668945,"STS22.v2":0.6984303888888889,"RomaniBibleClustering":0.402406,"MacedonianTweetSentimentClassification":0.482002,"AfriSentiClassification":0.4178858333333333,"STS12":0.802578,"LegalBenchCorporateLobbying":0.94383,"TweetTopicSingleClassification":0.743001,"MultiEURLEXMultilabelClassification":0.048928695652173906,"T2Reranking":0.671071,"GreekLegalCodeClassification":0.14409149999999998,"SlovakMovieReviewSentimentClassification":0.785156,"FaroeseSTS":0.700253,"SwissJudgementClassification":0.5786113333333334,"TwitterURLCorpus":0.877075,"TRECCOVID":0.86732,"IndicLangClassification":0.646124,"GujaratiNewsClassification":0.653187,"ItaCaseholdClassification":0.679638,"FloresBitextMining":0.49354160178209217,"Robust04InstructionRetrieval":-0.022998,"BulgarianStoreReviewSentimentClassfication":0.696154,"OdiaNewsClassification":0.529611,"TswanaNewsClassification":0.350308,"PlscClusteringP2P.v2":0.721735,"FinancialPhrasebankClassification":0.833392,"News21InstructionRetrieval":0.008075,"StackOverflowQA":0.85675,"Core17InstructionRetrieval":0.02269,"WebLINXCandidatesReranking":0.11373266666666666,"PAC":0.671156,"VoyageMMarcoReranking":0.560784,"MedrxivClusteringP2P.v2":0.497693,"GermanSTSBenchmark":0.8392855,"AlloprofReranking":0.770939,"AlloProfClusteringS2S.v2":0.543335,"indonli":0.55793,"IN22GenBitextMining":0.4452912193675889,"CovidRetrieval":0.73553,"BigPatentClustering.v2":0.36439,"NusaXBitextMining":0.6603829999999999,"NusaParagraphEmotionClassification":0.4047801,"LEMBPasskeyRetrieval":0.6225,"CTKFactsNLI":0.7889955,"DiaBlaBitextMining":0.837269,"IndonesianIdClickbaitClassification":0.596792,"XNLI":0.7269214999999999},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":48,"model":{"name":"nvidia/NV-Embed-v2","url":"https://huggingface.co/nvidia/NV-Embed-v2","zeroShotPct":90,"activeParamsB":7.719,"totalParamsB":7.85,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-09-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{lee2025nvembedimprovedtechniquestraining,\n title={NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models},\n author={Chankyu Lee and Rajarshi Roy and Mengyao Xu and Jonathan Raiman and Mohammad Shoeybi and Bryan Catanzaro and Wei Ping},\n year={2025},\n eprint={2405.17428},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2405.17428},\n}","memoryUsageMb":14975.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["flash_attention","nvembed"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":7.719,"totalParamsB":7.85,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.010405,"MultilabelClassification":0.18633925220163564,"Classification":0.5728667141695685,"Retrieval":0.5672494040650145,"Reranking":0.638239976660262,"Clustering":0.40799889874179956,"PairClassification":0.7893633858442904,"BitextMining":0.5784180828033816},"scoresByTask":{"SemRel24STS":0.591533,"FinParaSTS":0.11892799999999999,"PolEmo2.0-OUT":0.387045,"JSICK":0.796515,"SwednClusteringP2P":0.214653,"MalteseNewsClassification":0.224205,"CzechProductReviewSentimentClassification":0.563721,"STS13":0.8830238972017451,"IndicCrosslingualSTS":0.13376316666666668,"SprintDuplicateQuestions":0.9709194643777883,"WikipediaRerankingMultilingual":0.9060883125,"EstonianValenceClassification":0.326528,"STS15":0.8903555007807218,"MLQARetrieval":0.7061384693877552,"HALClusteringS2S.v2":0.21673,"PoemSentimentClassification":0.5525454999999999,"BrazilianToxicTweetsClassification":0.209863,"StatcanDialogueDatasetRetrieval":0.195475,"NordicLangClassification":0.717367,"ArXivHierarchicalClusteringP2P":0.602787,"NusaTranslationBitextMining":0.6814693636363637,"MassiveIntentClassification":0.5783538725490196,"CLSClusteringP2P.v2":0.354904,"WikipediaRetrievalMultilingual":0.90826875,"SinhalaNewsClassification":0.53999,"StackExchangeClustering.v2":0.550391,"MasakhaNEWSClassification":0.6252474375,"NusaX-senti":0.6342916666666667,"CataloniaTweetClassification":0.51485075,"OpusparcusPC":0.94703275,"ArmenianParaphrasePC":0.923768,"KorHateSpeechMLClassification":0.078351,"WikiClusteringP2P.v2":0.25854571428571427,"AmazonCounterfactualClassification":0.776058375,"ArXivHierarchicalClusteringS2S":0.592447,"NepaliNewsClassification":0.902686,"ArguAna":0.70074,"AILAStatutes":0.31582,"ToxicConversationsClassification":0.9274020000000001,"IndicGenBenchFloresBitextMining":0.6224907068965517,"CSFDSKMovieReviewSentimentClassification":0.341162,"SiswatiNewsClassification":0.5875,"CEDRClassification":0.39234856535600426,"TempReasonL1":0.06503,"BiorxivClusteringP2P.v2":0.437315,"NorwegianCourtsBitextMining":0.924708,"PunjabiNewsClassification":0.57707,"SpartQA":0.11514,"BUCC.v2":0.98910325,"BornholmBitextMining":0.433718,"BibleNLPBitextMining":0.09427139311594203,"SIB200ClusteringS2S":0.12592018274111674,"RTE3":0.8865385,"TERRa":0.6028542256247589,"SwahiliNewsClassification":0.585498,"DBpediaClassification":0.886914,"HagridRetrieval":0.98896,"MultiHateClassification":0.6245090909090909,"WikiCitiesClustering":0.674872,"Tatoeba":0.6300081517857142,"STS14":0.8429920990970672,"KurdishSentimentClassification":0.656316,"PpcPC":0.920137,"STSBenchmark":0.8840520383147418,"MasakhaNEWSClusteringS2S":0.3816398125,"MIRACLRetrievalHardNegatives":0.5554238888888889,"NTREXBitextMining":0.6172040495824636,"DalajClassification":0.50214,"SICK-R":0.8214763206055602,"NollySentiBitextMining":0.26413575,"SCIDOCS":0.21901,"BelebeleRetrieval":0.697943164893617,"IsiZuluNewsClassification":0.292952,"TwitterHjerneRetrieval":0.45574,"STSB":0.7755105,"STSES":0.76058,"KorSarcasmClassification":0.56416,"WinoGrande":0.4974,"SentimentAnalysisHindi":0.549665,"RuBQReranking":0.7709527141282384,"CyrillicTurkicLangClassification":0.702246,"FilipinoShopeeReviewsClassification":0.3679685,"STS22.v2":0.6140383333333334,"RomaniBibleClustering":0.373127,"MacedonianTweetSentimentClassification":0.47691,"AfriSentiClassification":0.4313656666666667,"STS12":0.7789286260403269,"LegalBenchCorporateLobbying":0.95203,"TweetTopicSingleClassification":0.638866,"MultiEURLEXMultilabelClassification":0.026928695652173915,"T2Reranking":0.666383,"GreekLegalCodeClassification":0.101636,"SlovakMovieReviewSentimentClassification":0.685742,"FaroeseSTS":0.765184,"SwissJudgementClassification":0.564863,"TwitterURLCorpus":0.8786649114275045,"TRECCOVID":0.88851,"IndicLangClassification":0.861888,"GujaratiNewsClassification":0.643854,"ItaCaseholdClassification":0.437104,"FloresBitextMining":0.41813602407514733,"Robust04InstructionRetrieval":-0.016704,"BulgarianStoreReviewSentimentClassfication":0.659341,"OdiaNewsClassification":0.595214,"TswanaNewsClassification":0.269815,"PlscClusteringP2P.v2":0.691034,"FinancialPhrasebankClassification":0.783039,"News21InstructionRetrieval":0.015816,"StackOverflowQA":0.92931,"Core17InstructionRetrieval":0.032103,"WebLINXCandidatesReranking":0.11936383333333334,"PAC":0.671127,"VoyageMMarcoReranking":0.630234,"MedrxivClusteringP2P.v2":0.37396367034196193,"GermanSTSBenchmark":0.812241,"AlloprofReranking":0.736418,"AlloProfClusteringS2S.v2":0.452606,"ScalaClassification":0.50687275,"indonli":0.504789,"IN22GenBitextMining":0.5032285691699605,"CovidRetrieval":0.59205,"BigPatentClustering.v2":0.227047,"PawsXPairClassification":0.5556128571428571,"NusaXBitextMining":0.4809628181818182,"NusaParagraphEmotionClassification":0.3948631,"LEMBPasskeyRetrieval":0.4275,"CTKFactsNLI":0.7879609999999999,"DiaBlaBitextMining":0.859999,"IndonesianIdClickbaitClassification":0.626581,"XNLI":0.7047195357142858},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":49,"model":{"name":"OrdalieTech/Solon-embeddings-large-0.1","url":"https://huggingface.co/OrdalieTech/Solon-embeddings-large-0.1","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2023-12-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["French"],"citation":null,"memoryUsageMb":2136.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"solon-large-06-BIG","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03477766666666667,"MultilabelClassification":0.21404021739130438,"Retrieval":0.5569129152527835,"Reranking":0.6201534692662719,"STS":0.7297650422979798,"Clustering":0.4385852321966779,"PairClassification":0.787224316017316,"BitextMining":0.7609840282505057},"scoresByTask":{"SemRel24STS":0.6879189166666667,"FinParaSTS":0.2376355,"PolEmo2.0-OUT":0.424696,"JSICK":0.79675,"SwednClusteringP2P":0.3662875,"MalteseNewsClassification":0.277928,"CzechProductReviewSentimentClassification":0.566602,"STS13":0.793187,"IndicCrosslingualSTS":0.5305509166666666,"SprintDuplicateQuestions":0.923772,"WikipediaRerankingMultilingual":0.9017364375,"EstonianValenceClassification":0.403545,"STS15":0.868678,"MLQARetrieval":0.7407529591836735,"HALClusteringS2S.v2":0.251969,"PoemSentimentClassification":0.5029075,"BrazilianToxicTweetsClassification":0.187061,"StatcanDialogueDatasetRetrieval":0.217125,"STS17":0.8244014545454544,"NordicLangClassification":0.657033,"ArXivHierarchicalClusteringP2P":0.568996,"NusaTranslationBitextMining":0.7760257272727272,"MassiveIntentClassification":0.6277484019607843,"CLSClusteringP2P.v2":0.371762,"WikipediaRetrievalMultilingual":0.90806125,"SinhalaNewsClassification":0.722705,"StackExchangeClustering.v2":0.474778,"NusaX-senti":0.6998958333333333,"CataloniaTweetClassification":0.5013995,"OpusparcusPC":0.9473463333333334,"ArmenianParaphrasePC":0.957359,"KorHateSpeechMLClassification":0.097251,"WikiClusteringP2P.v2":0.27660707142857144,"AmazonCounterfactualClassification":0.749076875,"ArXivHierarchicalClusteringS2S":0.547207,"NepaliNewsClassification":0.940967,"ArguAna":0.56925,"AILAStatutes":0.28919,"ToxicConversationsClassification":0.659668,"IndicGenBenchFloresBitextMining":0.8928840258620689,"CSFDSKMovieReviewSentimentClassification":0.358594,"SiswatiNewsClassification":0.65,"CEDRClassification":0.456695,"TempReasonL1":0.01076,"BiorxivClusteringP2P.v2":0.39399,"NorwegianCourtsBitextMining":0.944737,"PunjabiNewsClassification":0.805096,"SpartQA":0.02506,"BUCC.v2":0.98939525,"BornholmBitextMining":0.449444,"BibleNLPBitextMining":0.18015542512077293,"SIB200ClusteringS2S":0.2991650812182741,"RTE3":0.8725965,"TERRa":0.583542,"SwahiliNewsClassification":0.610156,"DBpediaClassification":0.901514,"HagridRetrieval":0.98841,"MultiHateClassification":0.6311090909090908,"WikiCitiesClustering":0.860362,"Tatoeba":0.8046549732142857,"STS14":0.778392,"KurdishSentimentClassification":0.791394,"PpcPC":0.911889,"STSBenchmark":0.835086,"MasakhaNEWSClusteringS2S":0.4043500625,"MIRACLRetrievalHardNegatives":0.5813311111111111,"NTREXBitextMining":0.9133261795407098,"DalajClassification":0.498874,"SICK-R":0.78227,"NollySentiBitextMining":0.71518325,"SCIDOCS":0.20431,"BelebeleRetrieval":0.7945721542553192,"IsiZuluNewsClassification":0.339628,"TwitterHjerneRetrieval":0.75412,"STSB":0.7951904999999999,"STSES":0.763617,"KorSarcasmClassification":0.573975,"WinoGrande":0.47456,"SentimentAnalysisHindi":0.628924,"RuBQReranking":0.720917,"CyrillicTurkicLangClassification":0.556055,"FilipinoShopeeReviewsClassification":0.35690900000000003,"STS22.v2":0.709151388888889,"RomaniBibleClustering":0.407069,"MacedonianTweetSentimentClassification":0.622125,"AfriSentiClassification":0.46070966666666663,"STS12":0.734113,"LegalBenchCorporateLobbying":0.92752,"TweetTopicSingleClassification":0.673597,"MultiEURLEXMultilabelClassification":0.05126608695652174,"T2Reranking":0.662578,"GreekLegalCodeClassification":0.43864749999999997,"SlovakMovieReviewSentimentClassification":0.721826,"FaroeseSTS":0.726873,"SwissJudgementClassification":0.5438523333333333,"TwitterURLCorpus":0.860346,"TRECCOVID":0.61867,"IndicLangClassification":0.267664,"GujaratiNewsClassification":0.792868,"ItaCaseholdClassification":0.695928,"FloresBitextMining":0.8078802239930454,"Robust04InstructionRetrieval":-0.083702,"BulgarianStoreReviewSentimentClassfication":0.618132,"OdiaNewsClassification":0.808595,"TswanaNewsClassification":0.482752,"PlscClusteringP2P.v2":0.713275,"FinancialPhrasebankClassification":0.815813,"News21InstructionRetrieval":-0.005458,"StackOverflowQA":0.86063,"Core17InstructionRetrieval":-0.015173,"WebLINXCandidatesReranking":0.1014345,"PAC":0.673212,"VoyageMMarcoReranking":0.685484,"MedrxivClusteringP2P.v2":0.364499,"GermanSTSBenchmark":0.812426,"AlloprofReranking":0.648770878097632,"AlloProfClusteringS2S.v2":0.388797,"ScalaClassification":0.5067995,"indonli":0.521832,"IN22GenBitextMining":0.768223766798419,"CovidRetrieval":0.71261,"BigPatentClustering.v2":0.32825,"PawsXPairClassification":0.5547595714285715,"NusaXBitextMining":0.7812315454545455,"NusaParagraphEmotionClassification":0.4572476,"LEMBPasskeyRetrieval":0.3475,"CTKFactsNLI":0.7954325,"DiaBlaBitextMining":0.869651,"IndonesianIdClickbaitClassification":0.606588,"XNLI":0.7305925714285715},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":50,"model":{"name":"mongodb/voyage-3.5","url":"https://blog.voyageai.com/2025/05/20/voyage-3-5/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2025-01-21","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"mongodb/voyage-4","extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":0.5845948037547057,"meanTaskType":0.5191440295096625,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.06495066666666667,"MultilabelClassification":0.21699449565217394,"Classification":0.5854257133249388,"Retrieval":0.6400839479938942,"Reranking":0.6416097534722223,"STS":0.6996554466540404,"Clustering":0.45868247169880805,"PairClassification":0.7597030746753247,"BitextMining":0.6051906954488946},"scoresByTask":{"SemRel24STS":0.6482670833333334,"FinParaSTS":0.2615875,"PolEmo2.0-OUT":0.394534,"JSICK":0.782563,"SwednClusteringP2P":0.38545050000000003,"MalteseNewsClassification":0.337919,"CzechProductReviewSentimentClassification":0.52832,"STS13":0.829891,"IndicCrosslingualSTS":0.3141649166666667,"SprintDuplicateQuestions":0.870956,"WikipediaRerankingMultilingual":0.9155971875,"EstonianValenceClassification":0.432152,"STS15":0.828124,"MLQARetrieval":0.7578317346938775,"HALClusteringS2S.v2":0.273272,"PoemSentimentClassification":0.507207,"BrazilianToxicTweetsClassification":0.230469,"StatcanDialogueDatasetRetrieval":0.4298075,"STS17":0.7784700909090909,"NordicLangClassification":0.479433,"ArXivHierarchicalClusteringP2P":0.559564,"NusaTranslationBitextMining":0.6026391818181818,"MassiveIntentClassification":0.5547175294117647,"CLSClusteringP2P.v2":0.403868,"WikipediaRetrievalMultilingual":0.92249625,"SinhalaNewsClassification":0.704395,"StackExchangeClustering.v2":0.584788,"MasakhaNEWSClassification":0.7666646875,"NusaX-senti":0.6629166666666667,"CataloniaTweetClassification":0.50765525,"OpusparcusPC":0.9373625,"ArmenianParaphrasePC":0.944034,"KorHateSpeechMLClassification":0.095091,"WikiClusteringP2P.v2":0.27792735714285716,"AmazonCounterfactualClassification":0.66984175,"ArXivHierarchicalClusteringS2S":0.559096,"NepaliNewsClassification":0.95625,"ArguAna":0.50827,"AILAStatutes":0.47821,"ToxicConversationsClassification":0.646582,"IndicGenBenchFloresBitextMining":0.7512694137931034,"CSFDSKMovieReviewSentimentClassification":0.374268,"SiswatiNewsClassification":0.5775,"CEDRClassification":0.37933,"TempReasonL1":0.01555,"BiorxivClusteringP2P.v2":0.410494,"NorwegianCourtsBitextMining":0.929825,"PunjabiNewsClassification":0.836943,"SpartQA":0.06551,"BUCC.v2":0.9818565,"BornholmBitextMining":0.424005,"BibleNLPBitextMining":0.08837941968599035,"SIB200ClusteringS2S":0.32004450253807104,"RTE3":0.86717775,"TERRa":0.522508,"SwahiliNewsClassification":0.614209,"DBpediaClassification":0.91582,"HagridRetrieval":0.9897,"MultiHateClassification":0.6343272727272727,"WikiCitiesClustering":0.852421,"Tatoeba":0.5926773928571428,"STS14":0.769845,"KurdishSentimentClassification":0.719426,"PpcPC":0.878549,"STSBenchmark":0.822799,"MasakhaNEWSClusteringS2S":0.43662018750000003,"MIRACLRetrievalHardNegatives":0.5924761111111111,"NTREXBitextMining":0.6866626466597078,"DalajClassification":0.500901,"SICK-R":0.794101,"NollySentiBitextMining":0.317489,"SCIDOCS":0.21344,"BelebeleRetrieval":0.7557094680851064,"IsiZuluNewsClassification":0.255186,"TwitterHjerneRetrieval":0.85327,"STSB":0.7089705,"STSES":0.746917,"KorSarcasmClassification":0.572559,"WinoGrande":0.46044,"SentimentAnalysisHindi":0.543754,"RuBQReranking":0.736916,"CyrillicTurkicLangClassification":0.412891,"FilipinoShopeeReviewsClassification":0.34797350000000005,"STS22.v2":0.7102185555555556,"RomaniBibleClustering":0.403798,"MacedonianTweetSentimentClassification":0.563652,"AfriSentiClassification":0.42385349999999994,"STS12":0.701112,"LegalBenchCorporateLobbying":0.95318,"TweetTopicSingleClassification":0.734141,"MultiEURLEXMultilabelClassification":0.042163478260869566,"T2Reranking":0.662549,"GreekLegalCodeClassification":0.38566900000000004,"SlovakMovieReviewSentimentClassification":0.755664,"FaroeseSTS":0.735325,"SwissJudgementClassification":0.6081046666666666,"TwitterURLCorpus":0.850067,"TRECCOVID":0.80949,"IndicLangClassification":0.285515,"GujaratiNewsClassification":0.848027,"ItaCaseholdClassification":0.620814,"FloresBitextMining":0.4960851500531247,"Robust04InstructionRetrieval":0.014948,"BulgarianStoreReviewSentimentClassfication":0.632967,"OdiaNewsClassification":0.772487,"TswanaNewsClassification":0.400616,"PlscClusteringP2P.v2":0.704998,"FinancialPhrasebankClassification":0.80667,"News21InstructionRetrieval":0.072886,"StackOverflowQA":0.94657,"Core17InstructionRetrieval":0.107018,"WebLINXCandidatesReranking":0.11277633333333333,"PAC":0.661801,"VoyageMMarcoReranking":0.615265,"MedrxivClusteringP2P.v2":0.372505,"GermanSTSBenchmark":0.7621315,"AlloprofReranking":0.806555,"AlloProfClusteringS2S.v2":0.510298,"ScalaClassification":0.5056032500000001,"indonli":0.509304,"IN22GenBitextMining":0.6778322450592885,"CovidRetrieval":0.80456,"BigPatentClustering.v2":0.283775,"PawsXPairClassification":0.5679753571428571,"NusaXBitextMining":0.5340570909090908,"NusaParagraphEmotionClassification":0.4395716,"LEMBPasskeyRetrieval":0.965,"CTKFactsNLI":0.756685,"DiaBlaBitextMining":0.784701,"IndonesianIdClickbaitClassification":0.611723,"XNLI":0.6521152142857144},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":51,"model":{"name":"jinaai/jina-embeddings-v3","url":"https://huggingface.co/jinaai/jina-embeddings-v3","zeroShotPct":99,"activeParamsB":0.316,"totalParamsB":0.572,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-09-18","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"\n @misc{sturua2024jinaembeddingsv3multilingualembeddingstask,\n title={jina-embeddings-v3: Multilingual Embeddings With Task LoRA},\n author={Saba Sturua and Isabelle Mohr and Mohammad Kalim Akram and Michael Günther and Bo Wang and Markus Krimmel and Feng Wang and Georgios Mastrapas and Andreas Koukounas and Andreas Koukounas and Nan Wang and Han Xiao},\n year={2024},\n eprint={2409.10173},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.10173},\n }\n ","memoryUsageMb":1092.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"XLM-RoBERTa","supersededBy":null,"extraRequirementsGroups":["jina","flash_attention"],"trainingDatasets":["MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","STS12","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.316,"totalParamsB":0.572,"embeddingDim":1024,"maxTokens":8192,"meanTask":0.583659324605738,"meanTaskType":0.5066236234618231,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.013383596226675997,"MultilabelClassification":0.18379392385318005,"Classification":0.5876977226172645,"Retrieval":0.557616827224487,"Reranking":0.5708685213114758,"STS":0.7713016763903768,"Clustering":0.45649848336266624,"PairClassification":0.7927068189210605,"BitextMining":0.6525122337025727},"scoresByTask":{"SemRel24STS":0.645808468036827,"FinParaSTS":0.22378369514955132,"PolEmo2.0-OUT":0.597165991902834,"JSICK":0.7816101828927973,"SwednClusteringP2P":0.26784391620272474,"MalteseNewsClassification":0.12664344797562038,"CzechProductReviewSentimentClassification":0.619091796875,"STS13":0.8948997027157911,"IndicCrosslingualSTS":0.5466261773788955,"SprintDuplicateQuestions":0.9700074479088465,"WikipediaRerankingMultilingual":0.7781227347883598,"EstonianValenceClassification":0.4880195599022005,"STS15":0.8931983553904262,"MLQARetrieval":0.7339366326530613,"HALClusteringS2S.v2":0.2926211186445843,"PoemSentimentClassification":0.5905448717948718,"BrazilianToxicTweetsClassification":0.197412109375,"StatcanDialogueDatasetRetrieval":0.39197,"STS17":0.8593804335071763,"NordicLangClassification":0.4086666666666667,"ArXivHierarchicalClusteringP2P":0.5892914985808295,"NusaTranslationBitextMining":0.623318024149037,"MassiveIntentClassification":0.6847285534620713,"CLSClusteringP2P.v2":0.3940192795763958,"WikipediaRetrievalMultilingual":0.891348125,"SinhalaNewsClassification":0.743017578125,"StackExchangeClustering.v2":0.5671926940250415,"MasakhaNEWSClassification":0.7148168473659897,"NusaX-senti":0.6602291666666666,"CataloniaTweetClassification":0.4508625,"OpusparcusPC":0.9458082266012271,"ArmenianParaphrasePC":0.9580568147862285,"KorHateSpeechMLClassification":0.10574374079528719,"WikiClusteringP2P.v2":0.27778759617858545,"AmazonCounterfactualClassification":0.9217312299199567,"ArXivHierarchicalClusteringS2S":0.5594901652486779,"NepaliNewsClassification":0.934423828125,"ArguAna":0.43288,"AILAStatutes":0.32773,"ToxicConversationsClassification":0.912744140625,"IndicGenBenchFloresBitextMining":0.8704728226908693,"CSFDSKMovieReviewSentimentClassification":0.391357421875,"SiswatiNewsClassification":0.5137499999999999,"CEDRClassification":0.4741764080765143,"TempReasonL1":0.00575,"BiorxivClusteringP2P.v2":0.39969707713049957,"NorwegianCourtsBitextMining":0.9261695906432749,"PunjabiNewsClassification":0.7745222929936306,"SpartQA":0.0065,"BUCC.v2":0.9839877433553733,"BornholmBitextMining":0.37276666666666664,"BibleNLPBitextMining":0.1053904617809526,"SIB200ClusteringS2S":0.3203424515762365,"RTE3":0.8811597477151394,"TERRa":0.5921573978021274,"SwahiliNewsClassification":0.56240234375,"DBpediaClassification":0.760546875,"HagridRetrieval":0.98694,"MultiHateClassification":0.6033818181818181,"WikiCitiesClustering":0.8532015240783812,"Tatoeba":0.7112976577833562,"STS14":0.8495370207075369,"KurdishSentimentClassification":0.5760442878711626,"PpcPC":0.9142651443320569,"STSBenchmark":0.8942710598569711,"MasakhaNEWSClusteringS2S":0.4615721454084101,"MIRACLRetrievalHardNegatives":0.6257661111111111,"NTREXBitextMining":0.7829088031914911,"DalajClassification":0.5012387387387387,"SICK-R":0.896184310325287,"NollySentiBitextMining":0.33194984574844777,"SCIDOCS":0.1992,"BelebeleRetrieval":0.7341020212765957,"IsiZuluNewsClassification":0.2081117021276596,"TwitterHjerneRetrieval":0.73015,"STSB":0.854102691003267,"STSES":0.7786980293198451,"KorSarcasmClassification":0.562109375,"WinoGrande":0.1857,"SentimentAnalysisHindi":0.6571603264331195,"RuBQReranking":0.6555799604667903,"CyrillicTurkicLangClassification":0.433056640625,"FilipinoShopeeReviewsClassification":0.3847900390625,"STS22.v2":0.7114370552850424,"RomaniBibleClustering":0.4058847413477982,"MacedonianTweetSentimentClassification":0.6119402985074627,"AfriSentiClassification":0.42801209261640993,"STS12":0.8243843925205465,"LegalBenchCorporateLobbying":0.93431,"TweetTopicSingleClassification":0.570584760779681,"MultiEURLEXMultilabelClassification":0.01499391304347826,"T2Reranking":0.6561451899350483,"GreekLegalCodeClassification":0.1157958984375,"SlovakMovieReviewSentimentClassification":0.84326171875,"FaroeseSTS":0.8081871117320545,"SwissJudgementClassification":0.5509326237283226,"TwitterURLCorpus":0.8414377403934505,"TRECCOVID":0.77742,"IndicLangClassification":0.1804194884607798,"GujaratiNewsClassification":0.8622913505311077,"ItaCaseholdClassification":0.6280542986425339,"FloresBitextMining":0.5529046521924518,"Robust04InstructionRetrieval":-0.06311007596852965,"BulgarianStoreReviewSentimentClassfication":0.7604395604395604,"OdiaNewsClassification":0.8136061920798792,"TswanaNewsClassification":0.2585215605749487,"PlscClusteringP2P.v2":0.7153158862268262,"FinancialPhrasebankClassification":0.7950088339222614,"News21InstructionRetrieval":0.023559975288696362,"StackOverflowQA":0.90794,"Core17InstructionRetrieval":-0.0006006880001947074,"WebLINXCandidatesReranking":0.09844271070291133,"PAC":0.6922096727483348,"VoyageMMarcoReranking":0.5076418517372003,"MedrxivClusteringP2P.v2":0.3816461321424296,"GermanSTSBenchmark":0.878718136424015,"AlloprofReranking":0.7292786802385444,"AlloProfClusteringS2S.v2":0.4467655078318857,"ScalaClassification":0.50167236328125,"indonli":0.5439457872844693,"IN22GenBitextMining":0.727888751050791,"CovidRetrieval":0.78546,"BigPatentClustering.v2":0.3713039996033536,"PawsXPairClassification":0.5441544006787563,"NusaXBitextMining":0.6421556499219255,"NusaParagraphEmotionClassification":0.42223784201278053,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7915245898978892,"DiaBlaBitextMining":0.8514483689588075,"IndonesianIdClickbaitClassification":0.581498923939676,"XNLI":0.7372577107314753},"scoresByCustomGroup":{},"trainedOnTasks":["STS12"],"experiments":null},{"rank":52,"model":{"name":"BAAI/bge-m3","url":"https://huggingface.co/BAAI/bge-m3","zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-06-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Amharic","Asturian","Belarusian","Bengali","Bulgarian","Catalan","Cebuano","Central Kurdish","Chinese","Danish","English","Estonian","Finnish","French","Galician","German","Gujarati","Hebrew","Hindi","Italian","Japanese","Korean","Modern Greek (1453-)","North Azerbaijani","Russian","Thai","Ukrainian"],"citation":"@misc{bge-m3,\n title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},\n author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},\n year={2024},\n eprint={2402.03216},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":2167.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DuRetrieval","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","T2Retrieval","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.031102328698400197,"MultilabelClassification":0.20097051669645744,"Classification":0.60348643517409,"Retrieval":0.5459152655386426,"Reranking":0.6278649295178697,"STS":0.7411799476842145,"Clustering":0.40878518378897355,"PairClassification":0.8076403656988345},"scoresByTask":{"SemRel24STS":0.6538084262632565,"FinParaSTS":0.30431328782408107,"PolEmo2.0-OUT":0.4947368421052632,"JSICK":0.7921412178476995,"SwednClusteringP2P":0.3542459527969732,"MalteseNewsClassification":0.22673051806704397,"CzechProductReviewSentimentClassification":0.609765625,"STS13":0.7959845218249569,"IndicCrosslingualSTS":0.5213085085870016,"SprintDuplicateQuestions":0.9732648734783681,"WikipediaRerankingMultilingual":0.8859673115079365,"EstonianValenceClassification":0.43716381418092903,"STS15":0.8781467178456492,"MLQARetrieval":0.7480581632653062,"HALClusteringS2S.v2":0.23742325127919153,"PoemSentimentClassification":0.5786126373626375,"BrazilianToxicTweetsClassification":0.19755859375,"StatcanDialogueDatasetRetrieval":0.2186025,"STS17":0.7964601701719772,"NordicLangClassification":0.3893,"ArXivHierarchicalClusteringP2P":0.5279810320966879,"NusaTranslationBitextMining":0.7667073990544376,"MassiveIntentClassification":0.6411372549019608,"CLSClusteringP2P.v2":0.3747996308379785,"WikipediaRetrievalMultilingual":0.8987475,"SinhalaNewsClassification":0.744775390625,"StackExchangeClustering.v2":0.43975467999381834,"MasakhaNEWSClassification":0.7566331875,"NusaX-senti":0.722,"CataloniaTweetClassification":0.4903125,"OpusparcusPC":0.9467489348065071,"ArmenianParaphrasePC":0.9628934668895,"KorHateSpeechMLClassification":0.10962199312714778,"WikiClusteringP2P.v2":0.2698172232695978,"AmazonCounterfactualClassification":0.7473963117418877,"ArXivHierarchicalClusteringS2S":0.5042344785604722,"NepaliNewsClassification":0.92763671875,"ArguAna":0.54038,"AILAStatutes":0.29042,"ToxicConversationsClassification":0.687158203125,"IndicGenBenchFloresBitextMining":0.8847130878481941,"CSFDSKMovieReviewSentimentClassification":0.383984375,"SiswatiNewsClassification":0.6,"CEDRClassification":0.4346971307120085,"TempReasonL1":0.00989,"BiorxivClusteringP2P.v2":0.3412341045015362,"NorwegianCourtsBitextMining":0.9444444444444445,"PunjabiNewsClassification":0.8184713375796179,"SpartQA":0.07492,"BUCC.v2":0.9871393318310167,"BornholmBitextMining":0.4411047619047619,"SIB200ClusteringS2S":0.25621221827411167,"RTE3":0.8824624918344175,"TERRa":0.6060381782240654,"SwahiliNewsClassification":0.614453125,"DBpediaClassification":0.897021484375,"HagridRetrieval":0.98769,"MultiHateClassification":0.6123363636363637,"WikiCitiesClustering":0.7246461319371534,"Tatoeba":0.7375696339285714,"STS14":0.7900172058630167,"KurdishSentimentClassification":0.7072471061902366,"PpcPC":0.922932779559589,"STSBenchmark":0.8486928980149938,"MasakhaNEWSClusteringS2S":0.4064460696004453,"MIRACLRetrievalHardNegatives":0.6959111111111111,"NTREXBitextMining":0.8875352501971301,"DalajClassification":0.4986486486486486,"SICK-R":0.7971643426941272,"NollySentiBitextMining":0.5617627062656877,"SCIDOCS":0.16308,"BelebeleRetrieval":0.7815855053191489,"IsiZuluNewsClassification":0.30279255319148934,"TwitterHjerneRetrieval":0.37823,"STSB":0.818995399726979,"STSES":0.7750423747965199,"KorSarcasmClassification":0.5671875,"WinoGrande":0.41723,"SentimentAnalysisHindi":0.6636414468747696,"RuBQReranking":0.7402919214478741,"CyrillicTurkicLangClassification":0.465771484375,"FilipinoShopeeReviewsClassification":0.3676025390625,"STS22.v2":0.700272009463895,"RomaniBibleClustering":0.4024699692029377,"MacedonianTweetSentimentClassification":0.6343283582089552,"AfriSentiClassification":0.4598457395838167,"STS12":0.7873342460860246,"LegalBenchCorporateLobbying":0.90342,"TweetTopicSingleClassification":0.677613703484938,"MultiEURLEXMultilabelClassification":0.03624434782608696,"T2Reranking":0.6682958692252711,"GreekLegalCodeClassification":0.3913330078125,"SlovakMovieReviewSentimentClassification":0.8234375,"FaroeseSTS":0.7780087894521951,"SwissJudgementClassification":0.547834739268431,"TwitterURLCorpus":0.8589385623646721,"TRECCOVID":0.54722,"IndicLangClassification":0.2080380038135315,"GujaratiNewsClassification":0.8262518968133536,"ItaCaseholdClassification":0.6773755656108598,"FloresBitextMining":0.7379408480633632,"Robust04InstructionRetrieval":-0.06685116142694043,"BulgarianStoreReviewSentimentClassfication":0.7175824175824175,"OdiaNewsClassification":0.8235565251185845,"TswanaNewsClassification":0.3919917864476386,"PlscClusteringP2P.v2":0.7086867101152514,"FinancialPhrasebankClassification":0.8186837455830389,"News21InstructionRetrieval":-0.013922666099468859,"StackOverflowQA":0.80597,"Core17InstructionRetrieval":-0.012533158568791294,"WebLINXCandidatesReranking":0.09319512026487183,"PAC":0.6913119026933101,"VoyageMMarcoReranking":0.6407782329205451,"MedrxivClusteringP2P.v2":0.3386894009350974,"GermanSTSBenchmark":0.8211890464850575,"AlloprofReranking":0.7386611217407191,"AlloProfClusteringS2S.v2":0.3619216344495169,"ScalaClassification":0.5042968750000001,"indonli":0.5600241047485994,"IN22GenBitextMining":0.7707218368297666,"CovidRetrieval":0.77512,"BigPatentClustering.v2":0.2920004527728074,"PawsXPairClassification":0.5570629785498282,"NusaXBitextMining":0.7245709770429696,"NusaParagraphEmotionClassification":0.43249264275533356,"LEMBPasskeyRetrieval":0.59,"CTKFactsNLI":0.8093851165173471,"DiaBlaBitextMining":0.8540150524492905,"IndonesianIdClickbaitClassification":0.5981558534828536,"XNLI":0.8042925357142857},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":53,"model":{"name":"Alibaba-NLP/gte-multilingual-base","url":"https://huggingface.co/Alibaba-NLP/gte-multilingual-base","zeroShotPct":99,"activeParamsB":0.113,"totalParamsB":0.305,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-07-20","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@inproceedings{zhang2024mgte,\n title={mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval},\n author={Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Wen and Dai, Ziqi and Tang, Jialong and Lin, Huan and Yang, Baosong and Xie, Pengjun and Huang, Fei and others},\n booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track},\n pages={1393--1412},\n year={2024}\n}","memoryUsageMb":582.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","DuRetrieval","FEVER","FEVER-NL","HotpotQA","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MrTidyRetrieval","MultiLongDocRetrieval","NQ","NQ-NL","T2Retrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.113,"totalParamsB":0.305,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.007424547557030797,"STS":0.7285476442903629,"PairClassification":0.8049352147462255},"scoresByTask":{"SemRel24STS":0.6522819384023778,"FinParaSTS":0.19899749832034094,"PolEmo2.0-OUT":0.3848178137651822,"JSICK":0.8008282435699906,"SwednClusteringP2P":0.2974442245689869,"MalteseNewsClassification":0.28175881584675666,"CzechProductReviewSentimentClassification":0.5529296875,"STS13":0.8555376747969323,"IndicCrosslingualSTS":0.4136584389092463,"SprintDuplicateQuestions":0.9545486732659925,"EstonianValenceClassification":0.3907090464547677,"STS15":0.8894403930558215,"MLQARetrieval":0.721895918367347,"HALClusteringS2S.v2":0.2587842871849939,"PoemSentimentClassification":0.5263919413919413,"BrazilianToxicTweetsClassification":0.1802734375,"StatcanDialogueDatasetRetrieval":0.217355,"STS17":0.8258805312157542,"NordicLangClassification":0.34006666666666663,"ArXivHierarchicalClusteringP2P":0.5799437291346836,"NusaTranslationBitextMining":0.7362313710548947,"CLSClusteringP2P.v2":0.36930527026523097,"SinhalaNewsClassification":0.744580078125,"StackExchangeClustering.v2":0.5191497256515774,"MasakhaNEWSClassification":0.7833391759573689,"NusaX-senti":0.658,"CataloniaTweetClassification":0.487575,"OpusparcusPC":0.9371008010831484,"ArmenianParaphrasePC":0.945295312187127,"KorHateSpeechMLClassification":0.09651448208149238,"WikiClusteringP2P.v2":0.26989315587934626,"AmazonCounterfactualClassification":0.712711769970824,"ArXivHierarchicalClusteringS2S":0.5794172192774746,"NepaliNewsClassification":0.931591796875,"ArguAna":0.58284,"AILAStatutes":0.33572,"ToxicConversationsClassification":0.68310546875,"IndicGenBenchFloresBitextMining":0.8666601966111531,"CSFDSKMovieReviewSentimentClassification":0.32275390625,"SiswatiNewsClassification":0.5987499999999999,"CEDRClassification":0.4163124335812965,"TempReasonL1":0.01084,"BiorxivClusteringP2P.v2":0.39660852705122057,"NorwegianCourtsBitextMining":0.9298245614035088,"PunjabiNewsClassification":0.8108280254777072,"SpartQA":0.05286,"BUCC.v2":0.9842550796913565,"BornholmBitextMining":0.4432857142857143,"BibleNLPBitextMining":0.14096200102746156,"RTE3":0.8805270804977041,"TERRa":0.6576051448897164,"SwahiliNewsClassification":0.571240234375,"DBpediaClassification":0.87431640625,"HagridRetrieval":0.98545,"WikiCitiesClustering":0.8354162940235061,"STS14":0.816756953287287,"KurdishSentimentClassification":0.666985405133367,"PpcPC":0.9243434559495841,"STSBenchmark":0.864554908309818,"MasakhaNEWSClusteringS2S":0.4570058771632867,"MIRACLRetrievalHardNegatives":0.6417405555555555,"NTREXBitextMining":0.8543135345812296,"DalajClassification":0.4995495495495496,"SICK-R":0.7934202518512105,"NollySentiBitextMining":0.608645338401436,"SCIDOCS":0.18257,"IsiZuluNewsClassification":0.3313829787234043,"TwitterHjerneRetrieval":0.6892,"STSB":0.8269553867913557,"STSES":0.7077059615617489,"KorSarcasmClassification":0.54921875,"WinoGrande":0.42207,"SentimentAnalysisHindi":0.5930940613684815,"RuBQReranking":0.7104367094472374,"CyrillicTurkicLangClassification":0.327734375,"FilipinoShopeeReviewsClassification":0.3199462890625,"STS22.v2":0.6878580575615442,"RomaniBibleClustering":0.4264871157600716,"MacedonianTweetSentimentClassification":0.5326602282704126,"AfriSentiClassification":0.41423410724648174,"STS12":0.7750749639238503,"LegalBenchCorporateLobbying":0.90547,"TweetTopicSingleClassification":0.7021854695806262,"T2Reranking":0.6708883460286066,"GreekLegalCodeClassification":0.384228515625,"SlovakMovieReviewSentimentClassification":0.65390625,"FaroeseSTS":0.7171043504672766,"SwissJudgementClassification":0.5635159238743469,"TwitterURLCorpus":0.8541579134030077,"TRECCOVID":0.57668,"IndicLangClassification":0.12448221447826946,"GujaratiNewsClassification":0.8477238239757208,"ItaCaseholdClassification":0.6285067873303167,"FloresBitextMining":0.850191689268811,"Robust04InstructionRetrieval":-0.054932566541558675,"BulgarianStoreReviewSentimentClassfication":0.6434065934065935,"OdiaNewsClassification":0.8058988767106612,"TswanaNewsClassification":0.4529774127310061,"PlscClusteringP2P.v2":0.7089730962408101,"FinancialPhrasebankClassification":0.8010159010600706,"News21InstructionRetrieval":0.012460912600446166,"StackOverflowQA":0.87081,"Core17InstructionRetrieval":0.02019801127002012,"WebLINXCandidatesReranking":0.1074419652352538,"PAC":0.66956269910223,"VoyageMMarcoReranking":0.5774158598617879,"MedrxivClusteringP2P.v2":0.36920965436201,"GermanSTSBenchmark":0.830706756621252,"AlloprofReranking":0.7507543109356692,"AlloProfClusteringS2S.v2":0.4422861762265864,"ScalaClassification":0.50093994140625,"indonli":0.5531448810862225,"IN22GenBitextMining":0.7293768411897597,"CovidRetrieval":0.80614,"BigPatentClustering.v2":0.32659002018707006,"PawsXPairClassification":0.5554105230391742,"NusaXBitextMining":0.662877700582246,"NusaParagraphEmotionClassification":0.42352090265704023,"LEMBPasskeyRetrieval":0.555,"CTKFactsNLI":0.8057848310359695,"DiaBlaBitextMining":0.8447879644904698,"IndonesianIdClickbaitClassification":0.5968661150403338,"XNLI":0.7863687457708363},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":54,"model":{"name":"HIT-TMG/KaLM-embedding-multilingual-mini-v1","url":"https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-v1","zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512.0,"releaseDate":"2024-08-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":1885.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen2-0.5B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","DBPedia","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","PawsXPairClassification","QuoraRetrieval","SciFact","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.014962666666666668,"MultilabelClassification":0.20674274158850436,"Retrieval":0.5416548988470486,"Reranking":0.6058763882802833,"PairClassification":0.7769867982994983,"BitextMining":0.6477278324656606},"scoresByTask":{"SemRel24STS":0.6390488333333334,"FinParaSTS":0.185411,"PolEmo2.0-OUT":0.561336032388664,"JSICK":0.816292,"SwednClusteringP2P":0.34857649999999996,"MalteseNewsClassification":0.291554,"CzechProductReviewSentimentClassification":0.47666,"STS13":0.8486841413445535,"IndicCrosslingualSTS":0.18576008333333335,"SprintDuplicateQuestions":0.9491386698713322,"WikipediaRerankingMultilingual":0.8554763125,"EstonianValenceClassification":0.345966,"STS15":0.8869670049389599,"MLQARetrieval":0.720082857142857,"HALClusteringS2S.v2":0.254397,"PoemSentimentClassification":0.544565,"BrazilianToxicTweetsClassification":0.186768,"StatcanDialogueDatasetRetrieval":0.3359725,"NordicLangClassification":0.623967,"ArXivHierarchicalClusteringP2P":0.593345,"NusaTranslationBitextMining":0.7418867272727273,"MassiveIntentClassification":0.5095885490196078,"CLSClusteringP2P.v2":0.391697,"WikipediaRetrievalMultilingual":0.85872,"SinhalaNewsClassification":0.612988,"StackExchangeClustering.v2":0.575793,"NusaX-senti":0.6268541666666666,"CataloniaTweetClassification":0.5035115,"OpusparcusPC":0.9246668333333333,"ArmenianParaphrasePC":0.932777,"KorHateSpeechMLClassification":0.088365,"WikiClusteringP2P.v2":0.27250764285714285,"AmazonCounterfactualClassification":0.725132125,"ArXivHierarchicalClusteringS2S":0.554429,"NepaliNewsClassification":0.941064,"ArguAna":0.56713,"AILAStatutes":0.3471,"ToxicConversationsClassification":0.70810546875,"IndicGenBenchFloresBitextMining":0.7944310000000001,"CSFDSKMovieReviewSentimentClassification":0.265039,"SiswatiNewsClassification":0.5925,"CEDRClassification":0.4215727948990436,"TempReasonL1":0.01963,"BiorxivClusteringP2P.v2":0.372009,"NorwegianCourtsBitextMining":0.931287,"PunjabiNewsClassification":0.741401,"SpartQA":0.10569,"BUCC.v2":0.9858885,"BornholmBitextMining":0.428638,"BibleNLPBitextMining":0.1328897759661836,"SIB200ClusteringS2S":0.21790531472081218,"RTE3":0.8710465000000001,"TERRa":0.5770599537386281,"SwahiliNewsClassification":0.590869,"DBpediaClassification":0.898193,"HagridRetrieval":0.98598,"MultiHateClassification":0.6059272727272728,"WikiCitiesClustering":0.844755,"Tatoeba":0.5065173392857143,"STS14":0.8010636060670153,"KurdishSentimentClassification":0.622144,"PpcPC":0.8718435695095992,"STSBenchmark":0.8606896054399278,"MIRACLRetrievalHardNegatives":0.5575344444444444,"NTREXBitextMining":0.7394224436325679,"DalajClassification":0.502027,"SICK-R":0.7992986896006748,"NollySentiBitextMining":0.516431,"SCIDOCS":0.20241,"BelebeleRetrieval":0.6745883776595745,"IsiZuluNewsClassification":0.30625,"TwitterHjerneRetrieval":0.23295,"STSES":0.782375,"KorSarcasmClassification":0.549072,"WinoGrande":0.29914,"SentimentAnalysisHindi":0.568485,"RuBQReranking":0.6976660332457353,"CyrillicTurkicLangClassification":0.492139,"FilipinoShopeeReviewsClassification":0.289429,"STS22.v2":0.7002722777777778,"RomaniBibleClustering":0.413084,"MacedonianTweetSentimentClassification":0.462599,"AfriSentiClassification":0.4318350833333333,"STS12":0.7666847347731301,"LegalBenchCorporateLobbying":0.92954,"TweetTopicSingleClassification":0.720378,"MultiEURLEXMultilabelClassification":0.045453913043478254,"T2Reranking":0.6650583475592573,"GreekLegalCodeClassification":0.32895549999999996,"SlovakMovieReviewSentimentClassification":0.587744,"FaroeseSTS":0.703541,"SwissJudgementClassification":0.5479900000000001,"TwitterURLCorpus":0.8674895762701595,"TRECCOVID":0.78374,"IndicLangClassification":0.676511,"GujaratiNewsClassification":0.730425,"ItaCaseholdClassification":0.675566,"FloresBitextMining":0.5729686801651696,"Robust04InstructionRetrieval":-0.050229,"BulgarianStoreReviewSentimentClassfication":0.482418,"OdiaNewsClassification":0.664438,"TswanaNewsClassification":0.432444,"PlscClusteringP2P.v2":0.702789,"FinancialPhrasebankClassification":0.828799,"News21InstructionRetrieval":-0.000674,"StackOverflowQA":0.92367,"Core17InstructionRetrieval":0.006015,"WebLINXCandidatesReranking":0.09928150000000001,"PAC":0.6558934260063713,"VoyageMMarcoReranking":0.577271,"MedrxivClusteringP2P.v2":0.342933,"GermanSTSBenchmark":0.8132035,"AlloprofReranking":0.7405051363767075,"AlloProfClusteringS2S.v2":0.499975,"ScalaClassification":0.50417475,"indonli":0.522176,"IN22GenBitextMining":0.6285447193675889,"CovidRetrieval":0.82091,"BigPatentClustering.v2":0.311965,"PawsXPairClassification":0.5639610714285714,"NusaXBitextMining":0.6173676363636363,"NusaParagraphEmotionClassification":0.3891208,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7450065,"DiaBlaBitextMining":0.824189,"IndonesianIdClickbaitClassification":0.600754,"XNLI":0.7216891071428571},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":55,"model":{"name":"Lajavaness/bilingual-embedding-base","url":"https://huggingface.co/Lajavaness/bilingual-embedding-base","zeroShotPct":98,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2024-06-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":"\n @article{DBLP:journals/corr/abs-1911-02116,\n author = {Alexis Conneau and\n Kartikay Khandelwal and\n Naman Goyal and\n Vishrav Chaudhary and\n Guillaume Wenzek and\n Francisco Guzm{'{a}}n and\n Edouard Grave and\n Myle Ott and\n Luke Zettlemoyer and\n Veselin Stoyanov},\n title = {Unsupervised Cross-lingual Representation Learning at Scale},\n journal = {CoRR},\n volume = {abs/1911.02116},\n year = {2019},\n url = {http://arxiv.org/abs/1911.02116},\n eprinttype = {arXiv},\n eprint = {1911.02116},\n timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n }\n\n@inproceedings{reimers-2019-sentence-bert,\n author = {Reimers, Nils and Gurevych, Iryna},\n booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing},\n month = {11},\n publisher = {Association for Computational Linguistics},\n title = {Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},\n url = {https://arxiv.org/abs/1908.10084},\n year = {2019},\n}\n\n@article{thakur2020augmented,\n title={Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks},\n author={Thakur, Nandan and Reimers, Nils and Daxenberger, Johannes and Gurevych, Iryna},\n journal={arXiv e-prints},\n pages={arXiv--2010},\n year={2020}\n}\n","memoryUsageMb":1061.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dangvantuan/bilingual_impl","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["STSBenchmark","STSBenchmarkMultilingualSTS","XNLI"]},"zeroShotPct":98,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.038393666666666666,"MultilabelClassification":0.2067780695652174,"Retrieval":0.5295659288039487,"Reranking":0.5940896438754216,"PairClassification":0.7744262995668533,"BitextMining":0.6997808672833231},"scoresByTask":{"SemRel24STS":0.6693188333333334,"FinParaSTS":0.200724,"PolEmo2.0-OUT":0.318219,"JSICK":0.819487,"SwednClusteringP2P":0.360221,"MalteseNewsClassification":0.287462,"CzechProductReviewSentimentClassification":0.541943,"STS13":0.8470010174539925,"IndicCrosslingualSTS":0.45239175000000004,"SprintDuplicateQuestions":0.9475976312657727,"WikipediaRerankingMultilingual":0.857396625,"EstonianValenceClassification":0.386064,"STS15":0.8987899103812357,"MLQARetrieval":0.7142401020408163,"HALClusteringS2S.v2":0.260129,"PoemSentimentClassification":0.5028935,"BrazilianToxicTweetsClassification":0.192383,"StatcanDialogueDatasetRetrieval":0.16515,"NordicLangClassification":0.747067,"ArXivHierarchicalClusteringP2P":0.569346,"NusaTranslationBitextMining":0.7342786363636363,"MassiveIntentClassification":0.590986568627451,"CLSClusteringP2P.v2":0.401088,"WikipediaRetrievalMultilingual":0.86875875,"SinhalaNewsClassification":0.723975,"StackExchangeClustering.v2":0.565337,"NusaX-senti":0.6845,"CataloniaTweetClassification":0.4982875,"OpusparcusPC":0.9437890000000001,"ArmenianParaphrasePC":0.947708,"KorHateSpeechMLClassification":0.100098,"WikiClusteringP2P.v2":0.26920185714285716,"AmazonCounterfactualClassification":0.747796125,"ArXivHierarchicalClusteringS2S":0.543943,"NepaliNewsClassification":0.952588,"ArguAna":0.51867,"AILAStatutes":0.19904,"ToxicConversationsClassification":0.633837890625,"IndicGenBenchFloresBitextMining":0.8709304396551724,"CSFDSKMovieReviewSentimentClassification":0.304492,"SiswatiNewsClassification":0.5875,"CEDRClassification":0.411583,"TempReasonL1":0.00768,"BiorxivClusteringP2P.v2":0.380501,"NorwegianCourtsBitextMining":0.912281,"PunjabiNewsClassification":0.798726,"SpartQA":0.06323,"BUCC.v2":0.982795,"BornholmBitextMining":0.328322,"BibleNLPBitextMining":0.1485933520531401,"SIB200ClusteringS2S":0.3121698274111675,"RTE3":0.871314,"TERRa":0.560008,"SwahiliNewsClassification":0.628027,"DBpediaClassification":0.89917,"HagridRetrieval":0.98692,"MultiHateClassification":0.5919272727272727,"WikiCitiesClustering":0.774514,"Tatoeba":0.6925443571428571,"STS14":0.8391546630697558,"KurdishSentimentClassification":0.778661,"PpcPC":0.864742,"STSBenchmark":0.8744031003802738,"MIRACLRetrievalHardNegatives":0.5395161111111111,"NTREXBitextMining":0.8737528136743214,"DalajClassification":0.500676,"SICK-R":0.7949310740723677,"NollySentiBitextMining":0.57622875,"SCIDOCS":0.16927,"BelebeleRetrieval":0.756231755319149,"IsiZuluNewsClassification":0.348005,"TwitterHjerneRetrieval":0.64751,"STSB":0.8244355,"STSES":0.81362,"KorSarcasmClassification":0.570801,"WinoGrande":0.55183,"SentimentAnalysisHindi":0.61298,"RuBQReranking":0.693564,"CyrillicTurkicLangClassification":0.563623,"FilipinoShopeeReviewsClassification":0.35227050000000004,"STS22.v2":0.6754345,"RomaniBibleClustering":0.409507,"MacedonianTweetSentimentClassification":0.602283,"AfriSentiClassification":0.4578905,"STS12":0.7959450354665624,"LegalBenchCorporateLobbying":0.89604,"TweetTopicSingleClassification":0.708978,"MultiEURLEXMultilabelClassification":0.04236434782608696,"T2Reranking":0.645928,"GreekLegalCodeClassification":0.326099,"SlovakMovieReviewSentimentClassification":0.640576,"FaroeseSTS":0.74355,"SwissJudgementClassification":0.5507456666666667,"TwitterURLCorpus":0.8648986996838992,"TRECCOVID":0.49443,"IndicLangClassification":0.328075,"GujaratiNewsClassification":0.802124,"ItaCaseholdClassification":0.647964,"FloresBitextMining":0.7448742755964455,"Robust04InstructionRetrieval":-0.076721,"BulgarianStoreReviewSentimentClassfication":0.607692,"OdiaNewsClassification":0.794714,"TswanaNewsClassification":0.421561,"PlscClusteringP2P.v2":0.69133,"FinancialPhrasebankClassification":0.799293,"News21InstructionRetrieval":-0.027424,"StackOverflowQA":0.8422,"Core17InstructionRetrieval":-0.011036,"WebLINXCandidatesReranking":0.07437033333333333,"PAC":0.684854,"VoyageMMarcoReranking":0.588681,"MedrxivClusteringP2P.v2":0.349347,"GermanSTSBenchmark":0.83884,"AlloprofReranking":0.7045979049191964,"AlloProfClusteringS2S.v2":0.465156,"ScalaClassification":0.505115,"indonli":0.507059,"IN22GenBitextMining":0.7351680138339921,"CovidRetrieval":0.72647,"BigPatentClustering.v2":0.336706,"PawsXPairClassification":0.5566168571428571,"NusaXBitextMining":0.6774936363636364,"NusaParagraphEmotionClassification":0.41993290000000005,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7561085000000001,"DiaBlaBitextMining":0.819889,"IndonesianIdClickbaitClassification":0.58612,"XNLI":0.6988476071428572},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":56,"model":{"name":"intfloat/multilingual-e5-large","url":"https://huggingface.co/intfloat/multilingual-e5-large","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"\n@article{wang2024multilingual,\n title={Multilingual E5 Text Embeddings: A Technical Report},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2402.05672},\n year={2024}\n}\n","memoryUsageMb":2136.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.030542,"MultilabelClassification":0.20434628622050993},"scoresByTask":{"FinParaSTS":0.24921500000000002,"PolEmo2.0-OUT":0.364777,"JSICK":0.798065,"SwednClusteringP2P":0.36914366408436133,"MalteseNewsClassification":0.239486,"CzechProductReviewSentimentClassification":0.571387,"STS13":0.8155024883174237,"IndicCrosslingualSTS":0.4386616217853115,"SprintDuplicateQuestions":0.9313702348755108,"EstonianValenceClassification":0.428851,"STS15":0.8930888242498176,"MLQARetrieval":0.7566102040816327,"HALClusteringS2S.v2":0.226091,"PoemSentimentClassification":0.5067355,"BrazilianToxicTweetsClassification":0.177393,"StatcanDialogueDatasetRetrieval":0.10628750000000001,"STS17":0.8213768001321604,"NordicLangClassification":0.8015333333333334,"ArXivHierarchicalClusteringP2P":0.556856,"NusaTranslationBitextMining":0.6720261953326626,"MassiveIntentClassification":0.6024989803921569,"CLSClusteringP2P.v2":0.40368983869869046,"StackExchangeClustering.v2":0.46428409593639797,"NusaX-senti":0.7054791666666667,"CataloniaTweetClassification":0.5040125,"OpusparcusPC":0.9450528333333333,"ArmenianParaphrasePC":0.9492751875986167,"KorHateSpeechMLClassification":0.10490918016691213,"WikiClusteringP2P.v2":0.2560124213863619,"ArXivHierarchicalClusteringS2S":0.536658,"NepaliNewsClassification":0.88466796875,"ArguAna":0.54357,"AILAStatutes":0.20842,"ToxicConversationsClassification":0.660107421875,"IndicGenBenchFloresBitextMining":0.8874948168460361,"CSFDSKMovieReviewSentimentClassification":0.348438,"SiswatiNewsClassification":0.55375,"CEDRClassification":0.44835281615302874,"TempReasonL1":0.01144,"BiorxivClusteringP2P.v2":0.372034,"NorwegianCourtsBitextMining":0.940351,"PunjabiNewsClassification":0.8070063694267515,"SpartQA":0.05645,"BUCC.v2":0.98780825,"BornholmBitextMining":0.441611,"BibleNLPBitextMining":0.1664931847826087,"RTE3":0.8752315,"TERRa":0.5842134677213782,"SwahiliNewsClassification":0.598682,"DBpediaClassification":0.882812,"HagridRetrieval":0.9891,"MultiHateClassification":0.6357272727272728,"WikiCitiesClustering":0.7550409670326536,"STS14":0.7772248064874142,"KurdishSentimentClassification":0.7707599396074484,"PpcPC":0.911595,"STSBenchmark":0.8729412528181398,"NTREXBitextMining":0.9140137432150314,"DalajClassification":0.500113,"SICK-R":0.8023155937954839,"NollySentiBitextMining":0.72419275,"SCIDOCS":0.17447,"BelebeleRetrieval":0.7790888563829788,"IsiZuluNewsClassification":0.3375,"TwitterHjerneRetrieval":0.35219,"STSB":0.8235674320152246,"STSES":0.8021052030021173,"KorSarcasmClassification":0.567919921875,"WinoGrande":0.54985,"SentimentAnalysisHindi":0.641980680051149,"RuBQReranking":0.7559529314558228,"CyrillicTurkicLangClassification":0.408544921875,"FilipinoShopeeReviewsClassification":0.35273437500000004,"STS22.v2":0.6430422816304919,"RomaniBibleClustering":0.409232,"MacedonianTweetSentimentClassification":0.6192273924495171,"AfriSentiClassification":0.45879766666666666,"STS12":0.8001977936978489,"LegalBenchCorporateLobbying":0.89716,"TweetTopicSingleClassification":0.6532191376255168,"MultiEURLEXMultilabelClassification":0.0515904347826087,"T2Reranking":0.6632099500865187,"GreekLegalCodeClassification":0.37131349999999996,"SlovakMovieReviewSentimentClassification":0.744091796875,"FaroeseSTS":0.7238825717388577,"SwissJudgementClassification":0.5361600473070006,"TwitterURLCorpus":0.8582919735430881,"TRECCOVID":0.7115,"IndicLangClassification":0.20250838319416134,"GujaratiNewsClassification":0.7673748103186646,"ItaCaseholdClassification":0.667873,"FloresBitextMining":0.8108048566599053,"Robust04InstructionRetrieval":-0.074796,"BulgarianStoreReviewSentimentClassfication":0.638462,"OdiaNewsClassification":0.8000961096540655,"TswanaNewsClassification":0.453799,"PlscClusteringP2P.v2":0.7160654442346245,"FinancialPhrasebankClassification":0.839399,"News21InstructionRetrieval":-0.000595,"StackOverflowQA":0.8889,"Core17InstructionRetrieval":-0.016235,"WebLINXCandidatesReranking":0.07780226876227447,"PAC":0.7033014769765422,"VoyageMMarcoReranking":0.6820628165658267,"MedrxivClusteringP2P.v2":0.34306003127887985,"GermanSTSBenchmark":0.840798,"AlloprofReranking":0.694429,"AlloProfClusteringS2S.v2":0.332797,"ScalaClassification":0.51085225,"indonli":0.5173601487694219,"IN22GenBitextMining":0.7674970563358843,"CovidRetrieval":0.75614,"BigPatentClustering.v2":0.31471,"NusaXBitextMining":0.7266705103639549,"NusaParagraphEmotionClassification":0.41658841774889865,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.798385,"DiaBlaBitextMining":0.848343,"IndonesianIdClickbaitClassification":0.6121987442790695,"XNLI":0.7511323116253975},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":57,"model":{"name":"nomic-ai/nomic-embed-text-v2-moe","url":"https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe","zeroShotPct":-1,"activeParamsB":0.142,"totalParamsB":0.475,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-02-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Amharic","Basque","Belarusian","Bengali","Bulgarian","Bulgarian (Latin)","Burmese","Catalan","Cebuano","Chinese","Chinese (Latin)","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Filipino","Finnish","French","German","Gujarati","Haitian","Hausa","Hebrew","Hebrew (Latin)","Hindi","Hindi (Latin)","Hmong (Latin)","Hungarian","Igbo","Indonesian","Irish","Italian","Japanese","Japanese (Latin)","Javanese","Kannada","Khmer","Kirghiz","Korean","Kurdish (Latin)","Lao","Latin","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maori","Marathi","Modern Greek (1453-)","Modern Greek (1453-) (Latin)","Mongolian","Norwegian","Norwegian Nynorsk","Nyanja","Panjabi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Russian (Latin)","Samoan","Scottish Gaelic","Serbo-Croatian (Latin)","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Standard Arabic","Sundanese","Swahili (individual language)","Swedish","Tagalog","Tajik","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish","Yoruba","Zulu"],"citation":"@misc{nussbaum2025trainingsparsemixtureexperts,\n title={Training Sparse Mixture Of Experts Text Embedding Models},\n author={Zach Nussbaum and Brandon Duderstadt},\n year={2025},\n eprint={2502.07972},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2502.07972},\n}","memoryUsageMb":1813.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/613ddfd37309e538cceadb05b1e6423e7b09f603/src/contrastors/configs/train/contrastive_finetune_moe.yaml","publicTrainingData":"https://github.com/nomic-ai/contrastors?tab=readme-ov-file#data-access","adaptedFrom":"nomic-ai/nomic-xlm-2048","supersededBy":null,"extraRequirementsGroups":["nomic"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.142,"totalParamsB":0.475,"embeddingDim":768,"maxTokens":512,"meanTask":0.576383582409092,"meanTaskType":0.4956681103428825,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.039365000000000004,"MultilabelClassification":0.1956490260869565,"Classification":0.6035780801543134,"Retrieval":0.5720747135814531,"Reranking":0.6032032152777778,"STS":0.7101963735795456,"Clustering":0.44515225730261965,"PairClassification":0.763358382034632,"BitextMining":0.6071659450686452},"scoresByTask":{"SemRel24STS":0.6659182499999999,"FinParaSTS":0.1655485,"PolEmo2.0-OUT":0.513158,"JSICK":0.819425,"SwednClusteringP2P":0.380011,"MalteseNewsClassification":0.238572,"CzechProductReviewSentimentClassification":0.577197,"STS13":0.827242,"IndicCrosslingualSTS":0.363809,"SprintDuplicateQuestions":0.958895,"WikipediaRerankingMultilingual":0.881440625,"EstonianValenceClassification":0.413081,"STS15":0.866919,"MLQARetrieval":0.6898412244897959,"HALClusteringS2S.v2":0.273467,"PoemSentimentClassification":0.46940950000000004,"BrazilianToxicTweetsClassification":0.19458,"StatcanDialogueDatasetRetrieval":0.27933,"STS17":0.7338527272727272,"NordicLangClassification":0.614533,"ArXivHierarchicalClusteringP2P":0.597252,"NusaTranslationBitextMining":0.6764960909090909,"MassiveIntentClassification":0.5808778235294118,"CLSClusteringP2P.v2":0.390722,"WikipediaRetrievalMultilingual":0.8848925,"SinhalaNewsClassification":0.752295,"StackExchangeClustering.v2":0.529593,"MasakhaNEWSClassification":0.7388344375,"NusaX-senti":0.6718125,"CataloniaTweetClassification":0.50906125,"OpusparcusPC":0.9119244166666666,"ArmenianParaphrasePC":0.954487,"KorHateSpeechMLClassification":0.103584,"WikiClusteringP2P.v2":0.27004364285714283,"AmazonCounterfactualClassification":0.733774625,"ArXivHierarchicalClusteringS2S":0.541661,"NepaliNewsClassification":0.936914,"ArguAna":0.55761,"AILAStatutes":0.2857,"ToxicConversationsClassification":0.684961,"IndicGenBenchFloresBitextMining":0.8160959568965517,"CSFDSKMovieReviewSentimentClassification":0.341895,"SiswatiNewsClassification":0.59375,"CEDRClassification":0.39203,"TempReasonL1":0.00744,"BiorxivClusteringP2P.v2":0.417402,"NorwegianCourtsBitextMining":0.937135,"PunjabiNewsClassification":0.840764,"SpartQA":0.07114,"BUCC.v2":0.969381,"BornholmBitextMining":0.404509,"BibleNLPBitextMining":0.0803527940821256,"SIB200ClusteringS2S":0.2886465989847716,"RTE3":0.869865,"TERRa":0.555412,"SwahiliNewsClassification":0.600146,"DBpediaClassification":0.882178,"HagridRetrieval":0.98843,"MultiHateClassification":0.5701727272727273,"WikiCitiesClustering":0.800494,"Tatoeba":0.5426425982142857,"STS14":0.790294,"KurdishSentimentClassification":0.632058,"PpcPC":0.814301,"STSBenchmark":0.834553,"MasakhaNEWSClusteringS2S":0.438476875,"MIRACLRetrievalHardNegatives":0.6663044444444445,"NTREXBitextMining":0.7249473794363256,"DalajClassification":0.502703,"SICK-R":0.738397,"NollySentiBitextMining":0.329808,"SCIDOCS":0.19245,"BelebeleRetrieval":0.7195666755319149,"IsiZuluNewsClassification":0.265957,"TwitterHjerneRetrieval":0.67933,"STSB":0.7850090000000001,"STSES":0.796377,"KorSarcasmClassification":0.54707,"WinoGrande":0.65878,"SentimentAnalysisHindi":0.58887,"RuBQReranking":0.6816,"CyrillicTurkicLangClassification":0.668652,"FilipinoShopeeReviewsClassification":0.331592,"STS22.v2":0.714851,"RomaniBibleClustering":0.37256,"MacedonianTweetSentimentClassification":0.541352,"AfriSentiClassification":0.42298824999999995,"STS12":0.726515,"LegalBenchCorporateLobbying":0.92566,"TweetTopicSingleClassification":0.695275,"MultiEURLEXMultilabelClassification":0.04947913043478261,"T2Reranking":0.67229,"GreekLegalCodeClassification":0.4022705,"SlovakMovieReviewSentimentClassification":0.700293,"FaroeseSTS":0.734484,"SwissJudgementClassification":0.5550523333333334,"TwitterURLCorpus":0.862407,"TRECCOVID":0.78741,"IndicLangClassification":0.706917,"GujaratiNewsClassification":0.820713,"ItaCaseholdClassification":0.693665,"FloresBitextMining":0.4803671620061818,"Robust04InstructionRetrieval":-0.093695,"BulgarianStoreReviewSentimentClassfication":0.675824,"OdiaNewsClassification":0.801781,"TswanaNewsClassification":0.319097,"PlscClusteringP2P.v2":0.715131,"FinancialPhrasebankClassification":0.80742,"News21InstructionRetrieval":-0.009636,"StackOverflowQA":0.76177,"Core17InstructionRetrieval":-0.014764,"WebLINXCandidatesReranking":0.07157866666666667,"PAC":0.709325,"VoyageMMarcoReranking":0.6025,"MedrxivClusteringP2P.v2":0.375347,"GermanSTSBenchmark":0.7999475,"AlloprofReranking":0.70981,"AlloProfClusteringS2S.v2":0.389857,"ScalaClassification":0.506067,"indonli":0.51083,"IN22GenBitextMining":0.6537154861660079,"CovidRetrieval":0.76169,"BigPatentClustering.v2":0.341772,"PawsXPairClassification":0.5336005,"NusaXBitextMining":0.5628188181818182,"NusaParagraphEmotionClassification":0.4259005,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.76433,"DiaBlaBitextMining":0.714888,"IndonesianIdClickbaitClassification":0.6082,"XNLI":0.6608902857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":58,"model":{"name":"hotchpotch/bekko-embedding-v1-a25m","url":"https://huggingface.co/hotchpotch/bekko-embedding-v1-a25m","zeroShotPct":98,"activeParamsB":0.025,"totalParamsB":0.123,"embeddingDim":384,"maxTokens":8192.0,"releaseDate":"2026-07-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Amharic","Angika","Armenian","Basque","Belarusian","Bengali","Betawi","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Central Kurdish","Croatian","Czech","Danish","Dutch","Egyptian Arabic","Esperanto","Fiji Hindi (Latin)","Filipino","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Halh Mongolian","Hebrew","Hindi","Hmong Daw (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latin","Lithuanian","Luxembourgish","Macedonian","Malayalam","Maltese","Mandarin Chinese (Han)","Maori","Marathi","Middle High German (ca. 1050-1500) (Latin)","Modern Greek (1453-)","Moroccan Arabic","Najdi Arabic","Narom (Latin)","Neapolitan (Latin)","Nepali (individual language)","Nigerian Pidgin","North Azerbaijani","Northern Kurdish","Northern Uzbek","Northern Uzbek (Cyrillic)","Norwegian Bokmål","Norwegian Nynorsk","Odia","Panjabi","Persian","Plateau Malagasy","Polish","Portuguese","Romanian","Russian","Scottish Gaelic","Serbian","Serbian (Latin)","Sindhi","Sinhala","Slovak","Slovenian","Somali","Southern Pashto","Spanish","Standard Arabic","Standard Estonian (Latin)","Standard Latvian","Standard Malay","Swahili (individual language)","Swedish","Swiss German","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Tosk Albanian","Turkish","Ukrainian","Urdu","Vietnamese","Vlax Romani (Latin)","Welsh","Western Frisian","Xhosa","Yue Chinese (Han)"],"citation":"@misc{tateno2026bekko,\n title={Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders},\n author={Yuichi Tateno},\n year={2026},\n eprint={2607.25180},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2607.25180},\n}","memoryUsageMb":470.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/hotchpotch/bekko-embedding-v1-unsupervised","adaptedFrom":"jhu-clsp/mmBERT-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["HotpotQA","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCOHardNegatives","NQ","NanoMSMARCORetrieval","PawsXPairClassification"]},"zeroShotPct":98,"activeParamsB":0.025,"totalParamsB":0.123,"embeddingDim":384,"maxTokens":8192,"meanTask":0.5835608105919057,"meanTaskType":0.5112170088952283,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.048336,"MultilabelClassification":0.1911208782608696,"Classification":0.5723323382404759,"Retrieval":0.5751618872810157,"Reranking":0.6145471875,"STS":0.7335232001262627,"Clustering":0.4304628876195386,"PairClassification":0.7781121807359306,"BitextMining":0.7540285202929609},"scoresByTask":{"SemRel24STS":0.6294419166666667,"FinParaSTS":0.2205895,"PolEmo2.0-OUT":0.359514,"JSICK":0.832695,"SwednClusteringP2P":0.334649,"MalteseNewsClassification":0.210144,"CzechProductReviewSentimentClassification":0.526367,"STS13":0.808453,"IndicCrosslingualSTS":0.49625908333333335,"SprintDuplicateQuestions":0.954399,"WikipediaRerankingMultilingual":0.867110625,"EstonianValenceClassification":0.384108,"STS15":0.88273,"MLQARetrieval":0.7107660204081632,"HALClusteringS2S.v2":0.237631,"PoemSentimentClassification":0.4985395,"BrazilianToxicTweetsClassification":0.198877,"StatcanDialogueDatasetRetrieval":0.2704075,"STS17":0.7896850909090909,"NordicLangClassification":0.383867,"ArXivHierarchicalClusteringP2P":0.551511,"NusaTranslationBitextMining":0.7602994545454546,"MassiveIntentClassification":0.5709014117647059,"CLSClusteringP2P.v2":0.348863,"WikipediaRetrievalMultilingual":0.878849375,"SinhalaNewsClassification":0.673828,"StackExchangeClustering.v2":0.535662,"MasakhaNEWSClassification":0.78924225,"NusaX-senti":0.6733958333333333,"CataloniaTweetClassification":0.47675575000000003,"OpusparcusPC":0.9439654166666666,"ArmenianParaphrasePC":0.94313,"KorHateSpeechMLClassification":0.098822,"WikiClusteringP2P.v2":0.2679807142857143,"AmazonCounterfactualClassification":0.718680625,"ArXivHierarchicalClusteringS2S":0.540062,"NepaliNewsClassification":0.93877,"ArguAna":0.57419,"AILAStatutes":0.36021,"ToxicConversationsClassification":0.669434,"IndicGenBenchFloresBitextMining":0.8988805086206897,"CSFDSKMovieReviewSentimentClassification":0.306152,"SiswatiNewsClassification":0.64,"CEDRClassification":0.402444,"TempReasonL1":0.01421,"BiorxivClusteringP2P.v2":0.390586,"NorwegianCourtsBitextMining":0.944444,"PunjabiNewsClassification":0.832484,"SpartQA":0.09167,"BUCC.v2":0.986833,"BornholmBitextMining":0.517911,"BibleNLPBitextMining":0.19415333212560387,"SIB200ClusteringS2S":0.27599167512690354,"RTE3":0.896359,"TERRa":0.578911,"SwahiliNewsClassification":0.615137,"DBpediaClassification":0.839014,"HagridRetrieval":0.9862,"MultiHateClassification":0.5970090909090909,"WikiCitiesClustering":0.897273,"Tatoeba":0.7410957589285714,"STS14":0.791962,"KurdishSentimentClassification":0.778259,"PpcPC":0.858221,"STSBenchmark":0.85802,"MasakhaNEWSClusteringS2S":0.3900558125,"MIRACLRetrievalHardNegatives":0.5986677777777777,"NTREXBitextMining":0.8980458042797494,"DalajClassification":0.497973,"SICK-R":0.744838,"NollySentiBitextMining":0.7144170000000001,"SCIDOCS":0.20112,"BelebeleRetrieval":0.7455432978723404,"IsiZuluNewsClassification":0.351463,"TwitterHjerneRetrieval":0.63527,"STSB":0.81793,"STSES":0.804688,"KorSarcasmClassification":0.554639,"WinoGrande":0.4425,"SentimentAnalysisHindi":0.595335,"RuBQReranking":0.65977,"CyrillicTurkicLangClassification":0.300342,"FilipinoShopeeReviewsClassification":0.3241455,"STS22.v2":0.6933431111111111,"RomaniBibleClustering":0.406506,"MacedonianTweetSentimentClassification":0.611853,"AfriSentiClassification":0.44363358333333336,"STS12":0.76753,"LegalBenchCorporateLobbying":0.91423,"TweetTopicSingleClassification":0.695806,"MultiEURLEXMultilabelClassification":0.04531739130434782,"T2Reranking":0.66204,"GreekLegalCodeClassification":0.4104735,"SlovakMovieReviewSentimentClassification":0.655762,"FaroeseSTS":0.763753,"SwissJudgementClassification":0.5497139999999999,"TwitterURLCorpus":0.854901,"TRECCOVID":0.56792,"IndicLangClassification":0.131255,"GujaratiNewsClassification":0.750531,"ItaCaseholdClassification":0.662896,"FloresBitextMining":0.7728519132135613,"Robust04InstructionRetrieval":-0.108084,"BulgarianStoreReviewSentimentClassfication":0.587363,"OdiaNewsClassification":0.737523,"TswanaNewsClassification":0.484394,"PlscClusteringP2P.v2":0.707784,"FinancialPhrasebankClassification":0.777032,"News21InstructionRetrieval":-0.007702,"StackOverflowQA":0.77158,"Core17InstructionRetrieval":-0.029222,"WebLINXCandidatesReranking":0.1093925,"PAC":0.686215,"VoyageMMarcoReranking":0.6824,"MedrxivClusteringP2P.v2":0.359369,"GermanSTSBenchmark":0.8344535,"AlloprofReranking":0.70657,"AlloProfClusteringS2S.v2":0.342353,"ScalaClassification":0.5026735,"indonli":0.528914,"IN22GenBitextMining":0.7694650830039526,"CovidRetrieval":0.73958,"BigPatentClustering.v2":0.301129,"PawsXPairClassification":0.5400963571428571,"NusaXBitextMining":0.7392359090909092,"NusaParagraphEmotionClassification":0.42668100000000003,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.7626539999999999,"DiaBlaBitextMining":0.864738,"IndonesianIdClickbaitClassification":0.601129,"XNLI":0.6976832142857142},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","PawsXPairClassification"],"experiments":null},{"rank":59,"model":{"name":"manu/bge-m3-custom-fr","url":"https://huggingface.co/manu/bge-m3-custom-fr","zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-04-11","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":2166.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DuRetrieval","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","T2Retrieval","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.024984666666666665,"MultilabelClassification":0.19563215652173913,"Retrieval":0.5326259483336282,"Reranking":0.6037203327361101,"STS":0.746937180239899,"Clustering":0.40354839379475616,"PairClassification":0.7851120183982684,"BitextMining":0.7216174488890353},"scoresByTask":{"SemRel24STS":0.6639303333333334,"FinParaSTS":0.30422499999999997,"PolEmo2.0-OUT":0.44332,"JSICK":0.821227,"SwednClusteringP2P":0.263377,"MalteseNewsClassification":0.21145,"CzechProductReviewSentimentClassification":0.578955,"STS13":0.815511,"IndicCrosslingualSTS":0.520987,"SprintDuplicateQuestions":0.965551,"WikipediaRerankingMultilingual":0.88578625,"EstonianValenceClassification":0.411002,"STS15":0.880237,"MLQARetrieval":0.6927666326530613,"HALClusteringS2S.v2":0.232945,"PoemSentimentClassification":0.54989,"BrazilianToxicTweetsClassification":0.199268,"StatcanDialogueDatasetRetrieval":0.173725,"STS17":0.8024752727272727,"NordicLangClassification":0.402033,"ArXivHierarchicalClusteringP2P":0.542435,"NusaTranslationBitextMining":0.7571231818181818,"MassiveIntentClassification":0.6425388627450981,"CLSClusteringP2P.v2":0.357524,"WikipediaRetrievalMultilingual":0.8952875,"SinhalaNewsClassification":0.728271,"StackExchangeClustering.v2":0.498588,"NusaX-senti":0.687875,"CataloniaTweetClassification":0.500219,"OpusparcusPC":0.9489936666666666,"ArmenianParaphrasePC":0.962616,"KorHateSpeechMLClassification":0.10216,"WikiClusteringP2P.v2":0.2684614285714286,"AmazonCounterfactualClassification":0.732504125,"ArXivHierarchicalClusteringS2S":0.499528,"NepaliNewsClassification":0.900732,"ArguAna":0.51591,"AILAStatutes":0.22264,"ToxicConversationsClassification":0.67749,"IndicGenBenchFloresBitextMining":0.881964474137931,"CSFDSKMovieReviewSentimentClassification":0.382617,"SiswatiNewsClassification":0.6025,"CEDRClassification":0.428268,"TempReasonL1":0.0101,"BiorxivClusteringP2P.v2":0.318016,"NorwegianCourtsBitextMining":0.94152,"PunjabiNewsClassification":0.788535,"SpartQA":0.10456,"BUCC.v2":0.98502125,"BornholmBitextMining":0.466519,"BibleNLPBitextMining":0.15836702717391302,"SIB200ClusteringS2S":0.27302030964467006,"RTE3":0.8750325,"TERRa":0.564175,"SwahiliNewsClassification":0.602441,"DBpediaClassification":0.892285,"HagridRetrieval":0.98769,"MultiHateClassification":0.5943454545454545,"WikiCitiesClustering":0.661149,"Tatoeba":0.7234318303571429,"STS14":0.800594,"KurdishSentimentClassification":0.675239,"PpcPC":0.905291,"STSBenchmark":0.849036,"MasakhaNEWSClusteringS2S":0.4272065625,"MIRACLRetrievalHardNegatives":0.6140227777777778,"NTREXBitextMining":0.8819057708768268,"DalajClassification":0.498198,"SICK-R":0.776325,"NollySentiBitextMining":0.54695575,"SCIDOCS":0.14024,"BelebeleRetrieval":0.7582951595744681,"IsiZuluNewsClassification":0.302926,"TwitterHjerneRetrieval":0.31471,"STSB":0.827647,"STSES":0.779766,"KorSarcasmClassification":0.566211,"WinoGrande":0.55444,"SentimentAnalysisHindi":0.602932,"RuBQReranking":0.721255,"CyrillicTurkicLangClassification":0.456689,"FilipinoShopeeReviewsClassification":0.355884,"STS22.v2":0.6889207777777778,"RomaniBibleClustering":0.410564,"MacedonianTweetSentimentClassification":0.632221,"AfriSentiClassification":0.45215641666666667,"STS12":0.81355,"LegalBenchCorporateLobbying":0.9154,"TweetTopicSingleClassification":0.660484,"MultiEURLEXMultilabelClassification":0.03701478260869565,"T2Reranking":0.657125,"GreekLegalCodeClassification":0.313745,"SlovakMovieReviewSentimentClassification":0.768457,"FaroeseSTS":0.777105,"SwissJudgementClassification":0.5507696666666667,"TwitterURLCorpus":0.859136,"TRECCOVID":0.44867,"IndicLangClassification":0.202709,"GujaratiNewsClassification":0.816009,"ItaCaseholdClassification":0.655204,"FloresBitextMining":0.7173782764899064,"Robust04InstructionRetrieval":-0.041698,"BulgarianStoreReviewSentimentClassfication":0.69011,"OdiaNewsClassification":0.815527,"TswanaNewsClassification":0.377002,"PlscClusteringP2P.v2":0.70173,"FinancialPhrasebankClassification":0.823454,"News21InstructionRetrieval":-0.00896,"StackOverflowQA":0.80171,"Core17InstructionRetrieval":-0.024296,"WebLINXCandidatesReranking":0.11606016666666667,"PAC":0.690211,"VoyageMMarcoReranking":0.590349,"MedrxivClusteringP2P.v2":0.310821,"GermanSTSBenchmark":0.8294585,"AlloprofReranking":0.6517465797499942,"AlloProfClusteringS2S.v2":0.412913,"ScalaClassification":0.503491,"indonli":0.523255,"IN22GenBitextMining":0.7685191837944664,"CovidRetrieval":0.6796,"BigPatentClustering.v2":0.278496,"PawsXPairClassification":0.5624442857142857,"NusaXBitextMining":0.7242660909090909,"NusaParagraphEmotionClassification":0.4323353,"LEMBPasskeyRetrieval":0.7575000000000001,"CTKFactsNLI":0.7626585,"DiaBlaBitextMining":0.828055,"IndonesianIdClickbaitClassification":0.591245,"XNLI":0.7070792499999999},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":60,"model":{"name":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1","url":"https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1","zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512.0,"releaseDate":"2024-10-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":1885.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen2-0.5B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","DBPedia","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","PawsXPairClassification","QuoraRetrieval","SciFact","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.026031666666666665,"MultilabelClassification":0.21618938846740282,"Retrieval":0.5083869389480575,"Reranking":0.5817020817835371,"PairClassification":0.7747326677157077,"BitextMining":0.6421731665978687},"scoresByTask":{"SemRel24STS":0.6066900000000001,"FinParaSTS":0.2097235,"PolEmo2.0-OUT":0.6137651821862349,"JSICK":0.810265,"SwednClusteringP2P":0.34919849999999997,"MalteseNewsClassification":0.322551,"CzechProductReviewSentimentClassification":0.469531,"STS13":0.8449255715794354,"IndicCrosslingualSTS":0.23075516666666665,"SprintDuplicateQuestions":0.9418170827750167,"WikipediaRerankingMultilingual":0.8424543125,"EstonianValenceClassification":0.33423,"STS15":0.865434566350121,"MLQARetrieval":0.5093767346938776,"HALClusteringS2S.v2":0.253751,"PoemSentimentClassification":0.5632189999999999,"BrazilianToxicTweetsClassification":0.204053,"StatcanDialogueDatasetRetrieval":0.2142125,"NordicLangClassification":0.6043,"ArXivHierarchicalClusteringP2P":0.589147,"NusaTranslationBitextMining":0.738007090909091,"MassiveIntentClassification":0.49239420588235294,"CLSClusteringP2P.v2":0.379962,"WikipediaRetrievalMultilingual":0.799549375,"SinhalaNewsClassification":0.596826,"StackExchangeClustering.v2":0.537344,"NusaX-senti":0.6193125,"CataloniaTweetClassification":0.50594275,"OpusparcusPC":0.9259611666666667,"ArmenianParaphrasePC":0.934971,"KorHateSpeechMLClassification":0.076387,"WikiClusteringP2P.v2":0.2677572142857143,"AmazonCounterfactualClassification":0.7925791249999999,"ArXivHierarchicalClusteringS2S":0.545492,"NepaliNewsClassification":0.938721,"ArguAna":0.56569,"AILAStatutes":0.376,"ToxicConversationsClassification":0.890380859375,"IndicGenBenchFloresBitextMining":0.7866729913793103,"CSFDSKMovieReviewSentimentClassification":0.262549,"SiswatiNewsClassification":0.545,"CEDRClassification":0.43299681190223166,"TempReasonL1":0.01583,"BiorxivClusteringP2P.v2":0.371479,"NorwegianCourtsBitextMining":0.937135,"PunjabiNewsClassification":0.826752,"SpartQA":0.07491,"BUCC.v2":0.9854609999999999,"BornholmBitextMining":0.386636,"BibleNLPBitextMining":0.12455731944444444,"SIB200ClusteringS2S":0.21608259898477158,"RTE3":0.86769825,"TERRa":0.5556580974377611,"SwahiliNewsClassification":0.596777,"DBpediaClassification":0.895557,"HagridRetrieval":0.98646,"MultiHateClassification":0.6087636363636363,"WikiCitiesClustering":0.826445,"Tatoeba":0.5006483660714286,"STS14":0.8005601661201852,"KurdishSentimentClassification":0.607851,"PpcPC":0.8743755817552732,"STSBenchmark":0.8429708032112021,"MIRACLRetrievalHardNegatives":0.28169222222222223,"NTREXBitextMining":0.7358612332985387,"DalajClassification":0.50259,"SICK-R":0.7963245426461405,"NollySentiBitextMining":0.52606,"SCIDOCS":0.20428999999999997,"BelebeleRetrieval":0.5806740691489362,"IsiZuluNewsClassification":0.28258,"TwitterHjerneRetrieval":0.34227,"STSES":0.766854,"KorSarcasmClassification":0.545703,"WinoGrande":0.24248,"SentimentAnalysisHindi":0.571145,"RuBQReranking":0.6848180892753541,"CyrillicTurkicLangClassification":0.464209,"FilipinoShopeeReviewsClassification":0.290161,"STS22.v2":0.7041453888888889,"RomaniBibleClustering":0.431674,"MacedonianTweetSentimentClassification":0.45259,"AfriSentiClassification":0.42419566666666664,"STS12":0.8149535893255212,"LegalBenchCorporateLobbying":0.859,"TweetTopicSingleClassification":0.718311,"MultiEURLEXMultilabelClassification":0.044959130434782606,"T2Reranking":0.6638154648171585,"GreekLegalCodeClassification":0.2865235,"SlovakMovieReviewSentimentClassification":0.584082,"FaroeseSTS":0.690652,"SwissJudgementClassification":0.5550510000000001,"TwitterURLCorpus":0.863276630523782,"TRECCOVID":0.7953600000000001,"IndicLangClassification":0.573184,"GujaratiNewsClassification":0.707891,"ItaCaseholdClassification":0.604525,"FloresBitextMining":0.5637904433256061,"Robust04InstructionRetrieval":-0.085989,"BulgarianStoreReviewSentimentClassfication":0.471978,"OdiaNewsClassification":0.656742,"TswanaNewsClassification":0.434086,"PlscClusteringP2P.v2":0.71373,"FinancialPhrasebankClassification":0.802164,"News21InstructionRetrieval":0.007913,"StackOverflowQA":0.92801,"Core17InstructionRetrieval":-0.000019,"WebLINXCandidatesReranking":0.11040383333333333,"PAC":0.6480162177816392,"VoyageMMarcoReranking":0.438256,"MedrxivClusteringP2P.v2":0.346143,"GermanSTSBenchmark":0.8003085000000001,"AlloprofReranking":0.7504647907753766,"AlloProfClusteringS2S.v2":0.488282,"ScalaClassification":0.50379625,"indonli":0.523427,"IN22GenBitextMining":0.6062994486166008,"CovidRetrieval":0.82766,"BigPatentClustering.v2":0.366091,"PawsXPairClassification":0.5658496428571429,"NusaXBitextMining":0.6357902727272727,"NusaParagraphEmotionClassification":0.37979979999999997,"LEMBPasskeyRetrieval":0.5475,"CTKFactsNLI":0.743409,"DiaBlaBitextMining":0.821332,"IndonesianIdClickbaitClassification":0.611629,"XNLI":0.7256158928571429},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":61,"model":{"name":"nvidia/NV-Embed-v1","url":"https://huggingface.co/nvidia/NV-Embed-v1","zeroShotPct":90,"activeParamsB":7.719,"totalParamsB":7.85,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-09-13","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{lee2025nvembedimprovedtechniquestraining,\n title={NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models},\n author={Chankyu Lee and Rajarshi Roy and Mengyao Xu and Jonathan Raiman and Mohammad Shoeybi and Bryan Catanzaro and Wei Ping},\n year={2025},\n eprint={2405.17428},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2405.17428},\n}","memoryUsageMb":14975.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["flash_attention","nvembed"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":7.719,"totalParamsB":7.85,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.030227333333333332,"MultilabelClassification":0.18949170258282125,"Classification":0.5703894534717904,"Retrieval":0.5398362749875365,"Reranking":0.6429282047091296,"Clustering":0.4285518126048088,"PairClassification":0.761870028327322,"BitextMining":0.4889949640201176},"scoresByTask":{"SemRel24STS":0.5685314166666667,"FinParaSTS":0.2036975,"PolEmo2.0-OUT":0.342308,"JSICK":0.786911,"SwednClusteringP2P":0.2557615,"MalteseNewsClassification":0.220331,"CzechProductReviewSentimentClassification":0.533154,"STS13":0.863035513172505,"IndicCrosslingualSTS":0.13455675,"SprintDuplicateQuestions":0.9607286531485965,"WikipediaRerankingMultilingual":0.8993619375,"EstonianValenceClassification":0.345721,"STS15":0.8724083005603993,"MLQARetrieval":0.7102973469387754,"HALClusteringS2S.v2":0.270038,"PoemSentimentClassification":0.5711955,"BrazilianToxicTweetsClassification":0.234375,"StatcanDialogueDatasetRetrieval":0.1884575,"NordicLangClassification":0.668967,"ArXivHierarchicalClusteringP2P":0.613772,"NusaTranslationBitextMining":0.5723649090909091,"MassiveIntentClassification":0.5414639901960784,"CLSClusteringP2P.v2":0.333504,"WikipediaRetrievalMultilingual":0.90164125,"SinhalaNewsClassification":0.510547,"StackExchangeClustering.v2":0.563493,"MasakhaNEWSClassification":0.6599655,"NusaX-senti":0.6491250000000001,"CataloniaTweetClassification":0.5158134999999999,"OpusparcusPC":0.9093081666666666,"ArmenianParaphrasePC":0.921434,"KorHateSpeechMLClassification":0.072459,"WikiClusteringP2P.v2":0.26710614285714285,"AmazonCounterfactualClassification":0.67530525,"ArXivHierarchicalClusteringS2S":0.613319,"NepaliNewsClassification":0.914941,"ArguAna":0.6820499999999999,"AILAStatutes":0.42902,"ToxicConversationsClassification":0.925984,"IndicGenBenchFloresBitextMining":0.5122922413793103,"CSFDSKMovieReviewSentimentClassification":0.370312,"SiswatiNewsClassification":0.56625,"CEDRClassification":0.3871413390010627,"TempReasonL1":0.03443,"BiorxivClusteringP2P.v2":0.47384,"NorwegianCourtsBitextMining":0.896199,"PunjabiNewsClassification":0.566242,"SpartQA":0.03953,"BUCC.v2":0.97016325,"BornholmBitextMining":0.321199,"BibleNLPBitextMining":0.07104925785024155,"SIB200ClusteringS2S":0.16748842131979694,"RTE3":0.8655649999999999,"TERRa":0.5351598291946672,"SwahiliNewsClassification":0.598535,"DBpediaClassification":0.900439,"HagridRetrieval":0.98896,"MultiHateClassification":0.6381909090909091,"WikiCitiesClustering":0.714848,"Tatoeba":0.45702807142857144,"STS14":0.8209196894621045,"KurdishSentimentClassification":0.668646,"PpcPC":0.92079,"STSBenchmark":0.8613895001731495,"MasakhaNEWSClusteringS2S":0.3985749375,"MIRACLRetrievalHardNegatives":0.48757666666666666,"NTREXBitextMining":0.5180861784968684,"DalajClassification":0.501126,"SICK-R":0.8280375234068289,"NollySentiBitextMining":0.24027099999999998,"SCIDOCS":0.20190000000000002,"BelebeleRetrieval":0.6550401861702128,"IsiZuluNewsClassification":0.26117,"TwitterHjerneRetrieval":0.45521,"STSB":0.741869,"STSES":0.767763,"KorSarcasmClassification":0.549121,"WinoGrande":0.20143,"SentimentAnalysisHindi":0.49873,"RuBQReranking":0.7567224574214443,"CyrillicTurkicLangClassification":0.692725,"FilipinoShopeeReviewsClassification":0.33999,"STS22.v2":0.6251442222222222,"RomaniBibleClustering":0.393269,"MacedonianTweetSentimentClassification":0.484372,"AfriSentiClassification":0.4240205833333333,"STS12":0.7622474792649981,"LegalBenchCorporateLobbying":0.95064,"TweetTopicSingleClassification":0.629711,"MultiEURLEXMultilabelClassification":0.033152173913043474,"T2Reranking":0.656929,"GreekLegalCodeClassification":0.1260745,"SlovakMovieReviewSentimentClassification":0.815527,"FaroeseSTS":0.684522,"SwissJudgementClassification":0.5695546666666668,"TwitterURLCorpus":0.8608743411620402,"TRECCOVID":0.85883,"IndicLangClassification":0.845585,"GujaratiNewsClassification":0.675948,"ItaCaseholdClassification":0.533484,"FloresBitextMining":0.3645286082053511,"Robust04InstructionRetrieval":-0.018057,"BulgarianStoreReviewSentimentClassfication":0.595604,"OdiaNewsClassification":0.532551,"TswanaNewsClassification":0.316838,"PlscClusteringP2P.v2":0.679498,"FinancialPhrasebankClassification":0.761661,"News21InstructionRetrieval":0.031499,"StackOverflowQA":0.9261,"Core17InstructionRetrieval":0.07724,"WebLINXCandidatesReranking":0.14690283333333334,"PAC":0.659629,"VoyageMMarcoReranking":0.662976,"MedrxivClusteringP2P.v2":0.378069,"GermanSTSBenchmark":0.7675974999999999,"AlloprofReranking":0.734677,"AlloProfClusteringS2S.v2":0.54257,"ScalaClassification":0.503723,"indonli":0.49096,"IN22GenBitextMining":0.3628834703557312,"CovidRetrieval":0.58094,"BigPatentClustering.v2":0.191678,"PawsXPairClassification":0.5671398571428571,"NusaXBitextMining":0.4852255454545455,"NusaParagraphEmotionClassification":0.43181010000000003,"LEMBPasskeyRetrieval":0.425,"CTKFactsNLI":0.7484685,"DiaBlaBitextMining":0.585644,"IndonesianIdClickbaitClassification":0.614686,"XNLI":0.6001419642857143},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":62,"model":{"name":"Cohere/Cohere-embed-multilingual-light-v3.0","url":"https://cohere.com/blog/introducing-embed-v3","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-11-02","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Assamese","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean (Korean)","Kurdish","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oriya (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Wolof","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.024518333333333333,"MultilabelClassification":0.20085348695652178,"Classification":0.5851498438253948,"Retrieval":0.5579244334717732,"Reranking":0.6197763333333334,"Clustering":0.44789628498345724,"PairClassification":0.7699816479605391,"BitextMining":0.6502562285300878},"scoresByTask":{"SemRel24STS":0.6060305,"FinParaSTS":0.23962050000000001,"PolEmo2.0-OUT":0.433603,"JSICK":0.825874,"SwednClusteringP2P":0.396386,"MalteseNewsClassification":0.283848,"CzechProductReviewSentimentClassification":0.528467,"STS13":0.7949916779764082,"IndicCrosslingualSTS":0.42477499999999996,"SprintDuplicateQuestions":0.9659618618212249,"WikipediaRerankingMultilingual":0.876505,"EstonianValenceClassification":0.384719,"STS15":0.8642805701554928,"MLQARetrieval":0.6672688775510204,"HALClusteringS2S.v2":0.253644,"PoemSentimentClassification":0.46508700000000003,"BrazilianToxicTweetsClassification":0.198193,"StatcanDialogueDatasetRetrieval":0.22624499999999997,"NordicLangClassification":0.6597,"ArXivHierarchicalClusteringP2P":0.571049,"NusaTranslationBitextMining":0.7451254545454545,"MassiveIntentClassification":0.5693219117647059,"CLSClusteringP2P.v2":0.395903,"WikipediaRetrievalMultilingual":0.8802025,"SinhalaNewsClassification":0.715381,"StackExchangeClustering.v2":0.559929,"MasakhaNEWSClassification":0.7670567500000001,"NusaX-senti":0.6694791666666666,"CataloniaTweetClassification":0.483831,"OpusparcusPC":0.9152525833333334,"ArmenianParaphrasePC":0.932593,"KorHateSpeechMLClassification":0.091753,"WikiClusteringP2P.v2":0.27023014285714286,"AmazonCounterfactualClassification":0.67063625,"ArXivHierarchicalClusteringS2S":0.533711,"NepaliNewsClassification":0.93833,"ArguAna":0.53369,"AILAStatutes":0.29119,"ToxicConversationsClassification":0.7065859999999999,"IndicGenBenchFloresBitextMining":0.8636789224137932,"CSFDSKMovieReviewSentimentClassification":0.3,"SiswatiNewsClassification":0.60125,"CEDRClassification":0.384963,"TempReasonL1":0.00945,"BiorxivClusteringP2P.v2":0.416921,"NorwegianCourtsBitextMining":0.921053,"PunjabiNewsClassification":0.802548,"SpartQA":0.05402,"BUCC.v2":0.95593125,"BornholmBitextMining":0.366354,"BibleNLPBitextMining":0.10722834541062802,"SIB200ClusteringS2S":0.2880127918781726,"RTE3":0.8619727500000001,"TERRa":0.566672,"SwahiliNewsClassification":0.623193,"DBpediaClassification":0.892627,"HagridRetrieval":0.98753,"MultiHateClassification":0.5741272727272727,"WikiCitiesClustering":0.78729,"Tatoeba":0.5273573571428571,"STS14":0.769552055757283,"KurdishSentimentClassification":0.814545,"PpcPC":0.866967,"STSBenchmark":0.8546101092708824,"MasakhaNEWSClusteringS2S":0.424312625,"MIRACLRetrievalHardNegatives":0.6328211111111111,"NTREXBitextMining":0.8025385668058456,"DalajClassification":0.501126,"SICK-R":0.7703523134004042,"NollySentiBitextMining":0.5331095,"SCIDOCS":0.171,"BelebeleRetrieval":0.7237323138297873,"IsiZuluNewsClassification":0.318218,"TwitterHjerneRetrieval":0.60683,"STSB":0.7771115,"STSES":0.798427,"KorSarcasmClassification":0.555322,"WinoGrande":0.61865,"SentimentAnalysisHindi":0.635874,"RuBQReranking":0.71116,"CyrillicTurkicLangClassification":0.480566,"FilipinoShopeeReviewsClassification":0.3563475,"STS22.v2":0.6862112777777778,"RomaniBibleClustering":0.397208,"MacedonianTweetSentimentClassification":0.5741,"AfriSentiClassification":0.45706058333333327,"STS12":0.7321878234127571,"LegalBenchCorporateLobbying":0.92636,"TweetTopicSingleClassification":0.689309,"MultiEURLEXMultilabelClassification":0.045510434782608696,"T2Reranking":0.674628,"GreekLegalCodeClassification":0.35566450000000005,"SlovakMovieReviewSentimentClassification":0.632373,"FaroeseSTS":0.669596,"SwissJudgementClassification":0.543557,"TwitterURLCorpus":0.8584596466970871,"TRECCOVID":0.7893000000000001,"IndicLangClassification":0.195062,"GujaratiNewsClassification":0.771472,"ItaCaseholdClassification":0.728054,"FloresBitextMining":0.6538387862455327,"Robust04InstructionRetrieval":-0.081068,"BulgarianStoreReviewSentimentClassfication":0.627473,"OdiaNewsClassification":0.77764,"TswanaNewsClassification":0.418891,"PlscClusteringP2P.v2":0.715271,"FinancialPhrasebankClassification":0.770981,"News21InstructionRetrieval":-0.008279,"StackOverflowQA":0.81466,"Core17InstructionRetrieval":0.015792,"WebLINXCandidatesReranking":0.102427,"PAC":0.671098,"VoyageMMarcoReranking":0.629058,"MedrxivClusteringP2P.v2":0.378458,"GermanSTSBenchmark":0.787069,"AlloprofReranking":0.72488,"AlloProfClusteringS2S.v2":0.400149,"ScalaClassification":0.5029907499999999,"indonli":0.510596,"IN22GenBitextMining":0.7190989249011858,"CovidRetrieval":0.72969,"BigPatentClustering.v2":0.377866,"PawsXPairClassification":0.5319301428571429,"NusaXBitextMining":0.5946670909090909,"NusaParagraphEmotionClassification":0.40669659999999996,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7504605,"DiaBlaBitextMining":0.6633497725167528,"IndonesianIdClickbaitClassification":0.591079,"XNLI":0.7089326428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":63,"model":{"name":"codefuse-ai/F2LLM-v2-160M","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-160M","zeroShotPct":88,"activeParamsB":0.062,"totalParamsB":0.159,"embeddingDim":640,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":607.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":0.062,"totalParamsB":0.159,"embeddingDim":640,"maxTokens":40960,"meanTask":0.5797783120250244,"meanTaskType":0.5060790622151055,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03385733333333333,"MultilabelClassification":0.23046706086956523,"Classification":0.5885664444124902,"Retrieval":0.5408139624660936,"Reranking":0.6033727986111111,"STS":0.7009980208333333,"Clustering":0.5082591279629713,"PairClassification":0.7601766255411255,"BitextMining":0.6559148525725917},"scoresByTask":{"SemRel24STS":0.6227350833333333,"FinParaSTS":0.1884845,"PolEmo2.0-OUT":0.471053,"JSICK":0.815828,"SwednClusteringP2P":0.470426,"MalteseNewsClassification":0.333696,"CzechProductReviewSentimentClassification":0.535352,"STS13":0.825131,"IndicCrosslingualSTS":0.23886408333333334,"SprintDuplicateQuestions":0.965692,"WikipediaRerankingMultilingual":0.851395625,"EstonianValenceClassification":0.358313,"STS15":0.871076,"MLQARetrieval":0.6504422448979592,"HALClusteringS2S.v2":0.20172,"PoemSentimentClassification":0.5941395,"BrazilianToxicTweetsClassification":0.199609,"StatcanDialogueDatasetRetrieval":0.2151075,"STS17":0.749116,"NordicLangClassification":0.566133,"ArXivHierarchicalClusteringP2P":0.624399,"NusaTranslationBitextMining":0.7748587272727273,"MassiveIntentClassification":0.6948711078431372,"CLSClusteringP2P.v2":0.662164,"WikipediaRetrievalMultilingual":0.839498125,"SinhalaNewsClassification":0.637109,"StackExchangeClustering.v2":0.654859,"MasakhaNEWSClassification":0.7212223125,"NusaX-senti":0.6278958333333333,"CataloniaTweetClassification":0.45540975,"OpusparcusPC":0.9211919166666666,"ArmenianParaphrasePC":0.914843,"KorHateSpeechMLClassification":0.080167,"WikiClusteringP2P.v2":0.2601697142857143,"AmazonCounterfactualClassification":0.8589202499999999,"ArXivHierarchicalClusteringS2S":0.604902,"NepaliNewsClassification":0.916455,"ArguAna":0.54011,"AILAStatutes":0.26905,"ToxicConversationsClassification":0.891992,"IndicGenBenchFloresBitextMining":0.8562257327586207,"CSFDSKMovieReviewSentimentClassification":0.289795,"SiswatiNewsClassification":0.6525,"CEDRClassification":0.505792,"TempReasonL1":0.01178,"BiorxivClusteringP2P.v2":0.524248,"NorwegianCourtsBitextMining":0.923246,"PunjabiNewsClassification":0.733758,"SpartQA":0.14484,"BUCC.v2":0.9839905,"BornholmBitextMining":0.454067,"BibleNLPBitextMining":0.1271493013285024,"SIB200ClusteringS2S":0.5668122081218274,"RTE3":0.85630275,"TERRa":0.547896,"SwahiliNewsClassification":0.57334,"DBpediaClassification":0.833154,"HagridRetrieval":0.98694,"MultiHateClassification":0.5628272727272727,"WikiCitiesClustering":0.826393,"Tatoeba":0.5180499017857143,"STS14":0.804775,"KurdishSentimentClassification":0.641218,"PpcPC":0.817422,"STSBenchmark":0.84624,"MasakhaNEWSClusteringS2S":0.424929125,"MIRACLRetrievalHardNegatives":0.5216405555555556,"NTREXBitextMining":0.7493269081419625,"DalajClassification":0.501014,"SICK-R":0.741905,"NollySentiBitextMining":0.4608845,"SCIDOCS":0.17548,"BelebeleRetrieval":0.6287028989361703,"IsiZuluNewsClassification":0.251862,"TwitterHjerneRetrieval":0.5725,"STSB":0.810851,"STSES":0.768965,"KorSarcasmClassification":0.535791,"WinoGrande":0.4316,"SentimentAnalysisHindi":0.632544,"RuBQReranking":0.65773,"CyrillicTurkicLangClassification":0.781787,"FilipinoShopeeReviewsClassification":0.3411375,"STS22.v2":0.6705371666666666,"RomaniBibleClustering":0.403634,"MacedonianTweetSentimentClassification":0.455751,"AfriSentiClassification":0.41502058333333336,"STS12":0.797303,"LegalBenchCorporateLobbying":0.91519,"TweetTopicSingleClassification":0.724926,"MultiEURLEXMultilabelClassification":0.03307130434782608,"T2Reranking":0.66664,"GreekLegalCodeClassification":0.177686,"SlovakMovieReviewSentimentClassification":0.710352,"FaroeseSTS":0.681381,"SwissJudgementClassification":0.5566939999999999,"TwitterURLCorpus":0.853305,"TRECCOVID":0.54333,"IndicLangClassification":0.872792,"GujaratiNewsClassification":0.702428,"ItaCaseholdClassification":0.620362,"FloresBitextMining":0.558225917294504,"Robust04InstructionRetrieval":-0.071756,"BulgarianStoreReviewSentimentClassfication":0.663187,"OdiaNewsClassification":0.652416,"TswanaNewsClassification":0.289528,"PlscClusteringP2P.v2":0.703734,"FinancialPhrasebankClassification":0.74333,"News21InstructionRetrieval":-0.003425,"StackOverflowQA":0.87356,"Core17InstructionRetrieval":-0.026391,"WebLINXCandidatesReranking":0.11730116666666666,"PAC":0.624095,"VoyageMMarcoReranking":0.63249,"MedrxivClusteringP2P.v2":0.446989,"GermanSTSBenchmark":0.7827765,"AlloprofReranking":0.69468,"AlloProfClusteringS2S.v2":0.356857,"ScalaClassification":0.5103150000000001,"indonli":0.500953,"IN22GenBitextMining":0.6439979584980238,"CovidRetrieval":0.72488,"BigPatentClustering.v2":0.39991,"PawsXPairClassification":0.5491629285714286,"NusaXBitextMining":0.6649766363636364,"NusaParagraphEmotionClassification":0.360684,"LEMBPasskeyRetrieval":0.69,"CTKFactsNLI":0.740479,"DiaBlaBitextMining":0.811894,"IndonesianIdClickbaitClassification":0.569197,"XNLI":0.6946952857142856},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":64,"model":{"name":"Snowflake/snowflake-arctic-embed-l-v2.0","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0","zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-12-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","Somali","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{yu2024arctic,\n title={Arctic-Embed 2.0: Multilingual Retrieval Without Compromise},\n author={Yu, Puxuan and Merrick, Luke and Nuti, Gaurav and Campos, Daniel},\n journal={arXiv preprint arXiv:2412.04506},\n year={2024},\n eprint={2412.04506},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2412.04506}\n}","memoryUsageMb":2166.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-m3-retromae","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":0.5702563224781807,"meanTaskType":0.49950257297757505,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02470633333333333,"MultilabelClassification":0.18939767826086956,"Classification":0.5738896811113875,"Retrieval":0.5836340391357488,"Reranking":0.636680875,"STS":0.7011107679924242,"Clustering":0.42757272716585837,"PairClassification":0.7671248452380951,"BitextMining":0.6408188762271253},"scoresByTask":{"SemRel24STS":0.6634601666666667,"FinParaSTS":0.2214595,"PolEmo2.0-OUT":0.344939,"JSICK":0.815808,"SwednClusteringP2P":0.2599375,"MalteseNewsClassification":0.186548,"CzechProductReviewSentimentClassification":0.497461,"STS13":0.804384,"IndicCrosslingualSTS":0.4720138333333333,"SprintDuplicateQuestions":0.96542,"WikipediaRerankingMultilingual":0.89175375,"EstonianValenceClassification":0.406724,"STS15":0.82865,"MLQARetrieval":0.730980612244898,"HALClusteringS2S.v2":0.249489,"PoemSentimentClassification":0.5123759999999999,"BrazilianToxicTweetsClassification":0.225098,"StatcanDialogueDatasetRetrieval":0.1905825,"STS17":0.7440714545454546,"NordicLangClassification":0.4905,"ArXivHierarchicalClusteringP2P":0.571874,"NusaTranslationBitextMining":0.6276281818181818,"MassiveIntentClassification":0.6299041862745097,"CLSClusteringP2P.v2":0.341997,"WikipediaRetrievalMultilingual":0.90495125,"SinhalaNewsClassification":0.733203,"StackExchangeClustering.v2":0.562998,"MasakhaNEWSClassification":0.743300875,"NusaX-senti":0.6547708333333333,"CataloniaTweetClassification":0.49121225,"OpusparcusPC":0.9274588333333332,"ArmenianParaphrasePC":0.958592,"KorHateSpeechMLClassification":0.104762,"WikiClusteringP2P.v2":0.27066271428571426,"AmazonCounterfactualClassification":0.647299875,"ArXivHierarchicalClusteringS2S":0.531249,"NepaliNewsClassification":0.91167,"ArguAna":0.5911,"AILAStatutes":0.2282,"ToxicConversationsClassification":0.65874,"IndicGenBenchFloresBitextMining":0.8474123017241378,"CSFDSKMovieReviewSentimentClassification":0.309814,"SiswatiNewsClassification":0.57875,"CEDRClassification":0.384803,"TempReasonL1":0.01003,"BiorxivClusteringP2P.v2":0.371826,"NorwegianCourtsBitextMining":0.925439,"PunjabiNewsClassification":0.811465,"SpartQA":0.05736,"BUCC.v2":0.980749,"BornholmBitextMining":0.420268,"BibleNLPBitextMining":0.10271433272946859,"SIB200ClusteringS2S":0.2542598578680203,"RTE3":0.86227475,"TERRa":0.537924,"SwahiliNewsClassification":0.609326,"DBpediaClassification":0.895508,"HagridRetrieval":0.98687,"MultiHateClassification":0.5910818181818182,"WikiCitiesClustering":0.742287,"Tatoeba":0.6685067053571428,"STS14":0.751031,"KurdishSentimentClassification":0.616709,"PpcPC":0.870826,"STSBenchmark":0.792127,"MasakhaNEWSClusteringS2S":0.4293865625,"MIRACLRetrievalHardNegatives":0.6653066666666666,"NTREXBitextMining":0.7740594754697285,"DalajClassification":0.501802,"SICK-R":0.739812,"NollySentiBitextMining":0.33606375,"SCIDOCS":0.20276,"BelebeleRetrieval":0.7402316755319149,"IsiZuluNewsClassification":0.239495,"TwitterHjerneRetrieval":0.44523,"STSB":0.72001,"STSES":0.78657,"KorSarcasmClassification":0.584082,"WinoGrande":0.55034,"SentimentAnalysisHindi":0.560291,"RuBQReranking":0.737447,"CyrillicTurkicLangClassification":0.576855,"FilipinoShopeeReviewsClassification":0.3175785,"STS22.v2":0.6868658333333334,"RomaniBibleClustering":0.396346,"MacedonianTweetSentimentClassification":0.612906,"AfriSentiClassification":0.4412669166666667,"STS12":0.712258,"LegalBenchCorporateLobbying":0.938,"TweetTopicSingleClassification":0.655995,"MultiEURLEXMultilabelClassification":0.045777391304347825,"T2Reranking":0.67565,"GreekLegalCodeClassification":0.356958,"SlovakMovieReviewSentimentClassification":0.661719,"FaroeseSTS":0.709056,"SwissJudgementClassification":0.5709913333333333,"TwitterURLCorpus":0.854327,"TRECCOVID":0.83633,"IndicLangClassification":0.330064,"GujaratiNewsClassification":0.84393,"ItaCaseholdClassification":0.681448,"FloresBitextMining":0.5471168098618758,"Robust04InstructionRetrieval":-0.076028,"BulgarianStoreReviewSentimentClassfication":0.592857,"OdiaNewsClassification":0.829321,"TswanaNewsClassification":0.253799,"PlscClusteringP2P.v2":0.71065,"FinancialPhrasebankClassification":0.719832,"News21InstructionRetrieval":-0.002411,"StackOverflowQA":0.86938,"Core17InstructionRetrieval":0.00432,"WebLINXCandidatesReranking":0.0904805,"PAC":0.669041,"VoyageMMarcoReranking":0.66633,"MedrxivClusteringP2P.v2":0.349524,"GermanSTSBenchmark":0.7701955,"AlloprofReranking":0.758424,"AlloProfClusteringS2S.v2":0.457351,"ScalaClassification":0.5059325,"indonli":0.507387,"IN22GenBitextMining":0.713656652173913,"CovidRetrieval":0.78526,"BigPatentClustering.v2":0.341326,"PawsXPairClassification":0.5663767142857142,"NusaXBitextMining":0.5821191818181819,"NusaParagraphEmotionClassification":0.4270742,"LEMBPasskeyRetrieval":0.7725,"CTKFactsNLI":0.7449775000000001,"DiaBlaBitextMining":0.804912,"IndonesianIdClickbaitClassification":0.609263,"XNLI":0.6428095},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":65,"model":{"name":"Lajavaness/bilingual-embedding-small","url":"https://huggingface.co/Lajavaness/bilingual-embedding-small","zeroShotPct":98,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-07-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","French"],"citation":"\n@article{DBLP:journals/corr/abs-1911-02116,\n author = {Alexis Conneau and\n Kartikay Khandelwal and\n Naman Goyal and\n Vishrav Chaudhary and\n Guillaume Wenzek and\n Francisco Guzm{'{a}}n and\n Edouard Grave and\n Myle Ott and\n Luke Zettlemoyer and\n Veselin Stoyanov},\n title = {Unsupervised Cross-lingual Representation Learning at Scale},\n journal = {CoRR},\n volume = {abs/1911.02116},\n year = {2019},\n url = {http://arxiv.org/abs/1911.02116},\n eprinttype = {arXiv},\n eprint = {1911.02116},\n timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n@inproceedings{reimers-2019-sentence-bert,\n author = {Reimers, Nils and Gurevych, Iryna},\n booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing},\n month = {11},\n publisher = {Association for Computational Linguistics},\n title = {Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},\n url = {https://arxiv.org/abs/1908.10084},\n year = {2019},\n}\n\n@article{thakur2020augmented,\n title={Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks},\n author={Thakur, Nandan and Reimers, Nils and Daxenberger, Johannes and Gurevych, Iryna},\n journal={arXiv e-prints},\n pages={arXiv--2010},\n year={2020}\n}\n","memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dangvantuan/bilingual_impl","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["STSBenchmark","STSBenchmarkMultilingualSTS","XNLI"]},"zeroShotPct":98,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.033578333333333335,"MultilabelClassification":0.19170805217391304,"Retrieval":0.49547512820938067,"Reranking":0.5931385218701601,"PairClassification":0.7707348005125975,"BitextMining":0.6948470038098189},"scoresByTask":{"SemRel24STS":0.65514025,"FinParaSTS":0.1783505,"PolEmo2.0-OUT":0.350202,"JSICK":0.813258,"SwednClusteringP2P":0.391231,"MalteseNewsClassification":0.27414,"CzechProductReviewSentimentClassification":0.477979,"STS13":0.853226077419183,"IndicCrosslingualSTS":0.47767000000000004,"SprintDuplicateQuestions":0.9453929097513268,"WikipediaRerankingMultilingual":0.8515164375,"EstonianValenceClassification":0.367359,"STS15":0.8846744045180212,"MLQARetrieval":0.666303163265306,"HALClusteringS2S.v2":0.24141,"PoemSentimentClassification":0.473283,"BrazilianToxicTweetsClassification":0.17749,"StatcanDialogueDatasetRetrieval":0.16286,"NordicLangClassification":0.643267,"ArXivHierarchicalClusteringP2P":0.552794,"NusaTranslationBitextMining":0.7243029090909091,"MassiveIntentClassification":0.600017294117647,"CLSClusteringP2P.v2":0.379576,"WikipediaRetrievalMultilingual":0.856656875,"SinhalaNewsClassification":0.69248,"StackExchangeClustering.v2":0.505889,"NusaX-senti":0.6332916666666667,"CataloniaTweetClassification":0.46932475,"OpusparcusPC":0.9309369166666667,"ArmenianParaphrasePC":0.940549,"KorHateSpeechMLClassification":0.091213,"WikiClusteringP2P.v2":0.2669119285714286,"AmazonCounterfactualClassification":0.7179005,"ArXivHierarchicalClusteringS2S":0.525221,"NepaliNewsClassification":0.937695,"ArguAna":0.53594,"AILAStatutes":0.25879,"ToxicConversationsClassification":0.625244140625,"IndicGenBenchFloresBitextMining":0.8777993189655172,"CSFDSKMovieReviewSentimentClassification":0.270703,"SiswatiNewsClassification":0.78375,"CEDRClassification":0.373539,"TempReasonL1":0.00837,"BiorxivClusteringP2P.v2":0.375005,"NorwegianCourtsBitextMining":0.919591,"PunjabiNewsClassification":0.773248,"SpartQA":0.03025,"BUCC.v2":0.9769545,"BornholmBitextMining":0.413151,"BibleNLPBitextMining":0.136999288647343,"SIB200ClusteringS2S":0.31046910659898475,"RTE3":0.88485025,"TERRa":0.554003,"SwahiliNewsClassification":0.622559,"DBpediaClassification":0.918359,"HagridRetrieval":0.98742,"MultiHateClassification":0.5781727272727273,"WikiCitiesClustering":0.745781,"Tatoeba":0.6719917767857143,"STS14":0.8389978896960656,"KurdishSentimentClassification":0.760845,"PpcPC":0.841219,"STSBenchmark":0.860757276289371,"MIRACLRetrievalHardNegatives":0.47061833333333336,"NTREXBitextMining":0.8437591847599164,"DalajClassification":0.497748,"SICK-R":0.7464910820402831,"NollySentiBitextMining":0.56784125,"SCIDOCS":0.16203,"BelebeleRetrieval":0.7073439361702127,"IsiZuluNewsClassification":0.307979,"TwitterHjerneRetrieval":0.38095,"STSB":0.813666,"STSES":0.809764,"KorSarcasmClassification":0.565918,"WinoGrande":0.44663,"SentimentAnalysisHindi":0.569476,"RuBQReranking":0.672373,"CyrillicTurkicLangClassification":0.491943,"FilipinoShopeeReviewsClassification":0.323682,"STS22.v2":0.6836987222222223,"RomaniBibleClustering":0.398554,"MacedonianTweetSentimentClassification":0.56734,"AfriSentiClassification":0.44440474999999996,"STS12":0.7939117869636217,"LegalBenchCorporateLobbying":0.91127,"TweetTopicSingleClassification":0.699646,"MultiEURLEXMultilabelClassification":0.042158260869565214,"T2Reranking":0.665662,"GreekLegalCodeClassification":0.426245,"SlovakMovieReviewSentimentClassification":0.608105,"FaroeseSTS":0.764524,"SwissJudgementClassification":0.5367206666666666,"TwitterURLCorpus":0.8647944792205788,"TRECCOVID":0.4678899999999999,"IndicLangClassification":0.262966,"GujaratiNewsClassification":0.755766,"ItaCaseholdClassification":0.79276,"FloresBitextMining":0.68664118096204,"Robust04InstructionRetrieval":-0.11056,"BulgarianStoreReviewSentimentClassfication":0.531868,"OdiaNewsClassification":0.756353,"TswanaNewsClassification":0.402464,"PlscClusteringP2P.v2":0.698678,"FinancialPhrasebankClassification":0.773984,"News21InstructionRetrieval":-0.002579,"StackOverflowQA":0.75573,"Core17InstructionRetrieval":0.012404,"WebLINXCandidatesReranking":0.11337283333333333,"PAC":0.67993,"VoyageMMarcoReranking":0.571518,"MedrxivClusteringP2P.v2":0.341211,"GermanSTSBenchmark":0.830576,"AlloprofReranking":0.6843888603876276,"AlloProfClusteringS2S.v2":0.443956,"ScalaClassification":0.5032105,"indonli":0.519879,"IN22GenBitextMining":0.7233999130434782,"CovidRetrieval":0.727,"BigPatentClustering.v2":0.293111,"PawsXPairClassification":0.5452384285714286,"NusaXBitextMining":0.6696657272727273,"NusaParagraphEmotionClassification":0.4090934,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.7506360000000001,"DiaBlaBitextMining":0.820914,"IndonesianIdClickbaitClassification":0.577079,"XNLI":0.7005838214285715},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":66,"model":{"name":"zeroentropy/zembed-1","url":"https://huggingface.co/zeroentropy/zembed-1","zeroShotPct":-1,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2026-03-02","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Chinese","Dutch","English","Finnish","French","German","Indonesian","Italian","Japanese","Polish","Portuguese","Romanian","Spanish","Swedish"],"citation":"@misc{pipitone2025zeloeloinspiredtrainingmethod,\n title={zELO: ELO-inspired Training Method for Rerankers and Embedding Models},\n author={Nicholas Pipitone and Ghita Houir Alami and Advaith Avadhanam and Anton Kaminskyi and Ashley Khoo},\n year={2025},\n eprint={2509.12541},\n archivePrefix={arXiv},\n primaryClass={cs.AI},\n url={https://arxiv.org/abs/2509.12541},\n}","memoryUsageMb":7672.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":0.5657632316439954,"meanTaskType":0.49962343869706655,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.04657133333333333,"MultilabelClassification":0.1880595565217391,"Classification":0.5811039397064005,"Retrieval":0.6335120651321009,"Reranking":0.6586953958333334,"STS":0.6339146030618686,"Clustering":0.4178263835688225,"PairClassification":0.7579014512987015,"BitextMining":0.5790262198172992},"scoresByTask":{"SemRel24STS":0.51323525,"FinParaSTS":0.282694,"PolEmo2.0-OUT":0.529352,"JSICK":0.708445,"SwednClusteringP2P":0.289142,"MalteseNewsClassification":0.298172,"CzechProductReviewSentimentClassification":0.535205,"STS13":0.730436,"IndicCrosslingualSTS":0.3667233333333333,"SprintDuplicateQuestions":0.864682,"WikipediaRerankingMultilingual":0.896569375,"EstonianValenceClassification":0.419927,"STS15":0.747482,"MLQARetrieval":0.7748037755102041,"HALClusteringS2S.v2":0.231296,"PoemSentimentClassification":0.534441,"BrazilianToxicTweetsClassification":0.180029,"StatcanDialogueDatasetRetrieval":0.4788625,"STS17":0.6874284545454545,"NordicLangClassification":0.546667,"ArXivHierarchicalClusteringP2P":0.584845,"NusaTranslationBitextMining":0.5796737272727273,"MassiveIntentClassification":0.5286404607843137,"CLSClusteringP2P.v2":0.32252,"WikipediaRetrievalMultilingual":0.9065006250000001,"SinhalaNewsClassification":0.601953,"StackExchangeClustering.v2":0.501685,"MasakhaNEWSClassification":0.7433119375,"NusaX-senti":0.683875,"CataloniaTweetClassification":0.4937165,"OpusparcusPC":0.91845275,"ArmenianParaphrasePC":0.942539,"KorHateSpeechMLClassification":0.060236,"WikiClusteringP2P.v2":0.2619545714285714,"AmazonCounterfactualClassification":0.6462995,"ArXivHierarchicalClusteringS2S":0.525936,"NepaliNewsClassification":0.92373,"ArguAna":0.49516,"AILAStatutes":0.37851,"ToxicConversationsClassification":0.612158,"IndicGenBenchFloresBitextMining":0.76618975,"CSFDSKMovieReviewSentimentClassification":0.345654,"SiswatiNewsClassification":0.50875,"CEDRClassification":0.357386,"TempReasonL1":0.01637,"BiorxivClusteringP2P.v2":0.401164,"NorwegianCourtsBitextMining":0.931287,"PunjabiNewsClassification":0.817197,"SpartQA":0.03885,"BUCC.v2":0.9712259999999999,"BornholmBitextMining":0.270516,"BibleNLPBitextMining":0.07324195350241545,"SIB200ClusteringS2S":0.18075687817258884,"RTE3":0.8718885000000001,"TERRa":0.53398,"SwahiliNewsClassification":0.629297,"DBpediaClassification":0.900195,"HagridRetrieval":0.99025,"MultiHateClassification":0.7000909090909091,"WikiCitiesClustering":0.842725,"Tatoeba":0.46545132142857143,"STS14":0.676597,"KurdishSentimentClassification":0.645697,"PpcPC":0.87932,"STSBenchmark":0.69453,"MasakhaNEWSClusteringS2S":0.3444236875,"MIRACLRetrievalHardNegatives":0.5966838888888889,"NTREXBitextMining":0.6656014243215032,"DalajClassification":0.50214,"SICK-R":0.716452,"NollySentiBitextMining":0.2756535,"SCIDOCS":0.2222,"BelebeleRetrieval":0.7774963829787234,"IsiZuluNewsClassification":0.243351,"TwitterHjerneRetrieval":0.77563,"STSB":0.625981,"STSES":0.7269,"KorSarcasmClassification":0.59458,"WinoGrande":0.54413,"SentimentAnalysisHindi":0.579776,"RuBQReranking":0.74762,"CyrillicTurkicLangClassification":0.481885,"FilipinoShopeeReviewsClassification":0.3368655,"STS22.v2":0.7078516111111112,"RomaniBibleClustering":0.375069,"MacedonianTweetSentimentClassification":0.516506,"AfriSentiClassification":0.4163361666666667,"STS12":0.704834,"LegalBenchCorporateLobbying":0.95008,"TweetTopicSingleClassification":0.660307,"MultiEURLEXMultilabelClassification":0.044474782608695654,"T2Reranking":0.68828,"GreekLegalCodeClassification":0.3981445,"SlovakMovieReviewSentimentClassification":0.721924,"FaroeseSTS":0.585503,"SwissJudgementClassification":0.5716003333333334,"TwitterURLCorpus":0.783682,"TRECCOVID":0.78394,"IndicLangClassification":0.453814,"GujaratiNewsClassification":0.8261,"ItaCaseholdClassification":0.653394,"FloresBitextMining":0.47315132734473103,"Robust04InstructionRetrieval":0.025433,"BulgarianStoreReviewSentimentClassfication":0.619231,"OdiaNewsClassification":0.740924,"TswanaNewsClassification":0.322382,"PlscClusteringP2P.v2":0.686625,"FinancialPhrasebankClassification":0.784011,"News21InstructionRetrieval":0.018314,"StackOverflowQA":0.92573,"Core17InstructionRetrieval":0.095967,"WebLINXCandidatesReranking":0.122543,"PAC":0.667622,"VoyageMMarcoReranking":0.6623,"MedrxivClusteringP2P.v2":0.359324,"GermanSTSBenchmark":0.6675409999999999,"AlloprofReranking":0.83486,"AlloProfClusteringS2S.v2":0.457632,"ScalaClassification":0.505432,"indonli":0.52697,"IN22GenBitextMining":0.710224671936759,"CovidRetrieval":0.80302,"BigPatentClustering.v2":0.320124,"PawsXPairClassification":0.5939807857142857,"NusaXBitextMining":0.5635441818181818,"NusaParagraphEmotionClassification":0.4422786,"LEMBPasskeyRetrieval":0.945,"CTKFactsNLI":0.7724245000000001,"DiaBlaBitextMining":0.78158,"IndonesianIdClickbaitClassification":0.602708,"XNLI":0.6489964285714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":67,"model":{"name":"BidirLM/BidirLM-270M-Embedding","url":"https://huggingface.co/BidirLM/BidirLM-270M-Embedding","zeroShotPct":99,"activeParamsB":0.1,"totalParamsB":0.268,"embeddingDim":640,"maxTokens":32768.0,"releaseDate":"2026-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Kirghiz","Korean","Latvian","Lithuanian","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Marathi","Modern Greek (1453-)","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Pedi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@misc{boizard2026bidirlmtextomnimodalbidirectional,\n title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},\n author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},\n year={2026},\n eprint={2604.02045},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2604.02045},\n}","memoryUsageMb":511.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/BidirLM/BidirLM-Contrastive","adaptedFrom":"google/gemma-3-270m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","ATEC","AdvertiseGen","BQ","CAIL2019-SCM","CHEF","CINLID","ChatMed_Consult_Dataset","ChineseSTS","CmedqaRetrieval","Cmnli","CodeFeedback","DRCD","DuRetrieval","ELI5_custom","ESCIReranking","EmotionClassification","Expertqa","FollowIR","GooAQ","InF-IR","JW300","LCSTS","MAmmoTH2","MEDI2BGE","MIRACLRetrieval","MSMARCO","Multi-CPR","MultiLongDocReranking","NFCorpus","NaturalQuestions","OPUS-100","OpenOrca","PAQ","PubMedQA","QBQTC","RefGPT","SQuAD","SearchQA","SimCLUE","SyntheticClassificationData","T2Ranking","TED Talks","THUCNews","TriviaQA","UMETRIP-QA","WebCPM","WikiAnswers","WikiMatrix","cCOVID-News","ccnews","cmrc2018","contract-nli","csl","dureader_mrc","law-gpt","lawzhidao","lima-chinese","mmarco-chinese","mnli","nli_zh","nllb","ocnli","rag-dataset-12000","simcse_sup_nli","webgpt_comparisons","webqa","wikipedia-nq","xnli_zh","yahoo-answers"]},"zeroShotPct":99,"activeParamsB":0.1,"totalParamsB":0.268,"embeddingDim":640,"maxTokens":32768,"meanTask":0.5680508264131753,"meanTaskType":0.4930433401998596,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.022399000000000002,"MultilabelClassification":0.2072434,"Classification":0.5908990798434067,"Retrieval":0.5459169116001404,"Reranking":0.5964911736111111,"STS":0.6766375868055555,"Clustering":0.46200153545084754,"PairClassification":0.7672457240259741,"BitextMining":0.6133536504617005},"scoresByTask":{"SemRel24STS":0.5867091666666667,"FinParaSTS":0.1752195,"PolEmo2.0-OUT":0.625101,"JSICK":0.806304,"SwednClusteringP2P":0.4195065,"MalteseNewsClassification":0.284763,"CzechProductReviewSentimentClassification":0.539746,"STS13":0.792234,"IndicCrosslingualSTS":0.228715,"SprintDuplicateQuestions":0.960096,"WikipediaRerankingMultilingual":0.814951875,"EstonianValenceClassification":0.360636,"STS15":0.843521,"MLQARetrieval":0.5910047959183673,"HALClusteringS2S.v2":0.274754,"PoemSentimentClassification":0.643672,"BrazilianToxicTweetsClassification":0.197998,"StatcanDialogueDatasetRetrieval":0.188745,"STS17":0.72838,"NordicLangClassification":0.603867,"ArXivHierarchicalClusteringP2P":0.612727,"NusaTranslationBitextMining":0.7082497272727273,"MassiveIntentClassification":0.5286502647058824,"CLSClusteringP2P.v2":0.409057,"WikipediaRetrievalMultilingual":0.80923,"SinhalaNewsClassification":0.61875,"StackExchangeClustering.v2":0.582015,"MasakhaNEWSClassification":0.6976466875,"NusaX-senti":0.6316875,"CataloniaTweetClassification":0.45651975,"OpusparcusPC":0.9309742499999999,"ArmenianParaphrasePC":0.925333,"KorHateSpeechMLClassification":0.070643,"WikiClusteringP2P.v2":0.2782314285714286,"AmazonCounterfactualClassification":0.716999125,"ArXivHierarchicalClusteringS2S":0.547889,"NepaliNewsClassification":0.944678,"ArguAna":0.50818,"AILAStatutes":0.24827,"ToxicConversationsClassification":0.676514,"IndicGenBenchFloresBitextMining":0.762602051724138,"CSFDSKMovieReviewSentimentClassification":0.297656,"SiswatiNewsClassification":0.7225,"CEDRClassification":0.441073,"TempReasonL1":0.00748,"BiorxivClusteringP2P.v2":0.41231,"NorwegianCourtsBitextMining":0.915205,"PunjabiNewsClassification":0.692994,"SpartQA":0.08338,"BUCC.v2":0.98274125,"BornholmBitextMining":0.368692,"BibleNLPBitextMining":0.10479741304347825,"SIB200ClusteringS2S":0.30074307614213197,"RTE3":0.8717145,"TERRa":0.536541,"SwahiliNewsClassification":0.56001,"DBpediaClassification":0.931494,"HagridRetrieval":0.98769,"MultiHateClassification":0.5953272727272728,"WikiCitiesClustering":0.75611,"Tatoeba":0.5340046607142857,"STS14":0.766278,"KurdishSentimentClassification":0.656719,"PpcPC":0.865357,"STSBenchmark":0.838036,"MasakhaNEWSClusteringS2S":0.4995425625,"MIRACLRetrievalHardNegatives":0.5584027777777778,"NTREXBitextMining":0.7077568324634655,"DalajClassification":0.498874,"SICK-R":0.790715,"NollySentiBitextMining":0.40143324999999996,"SCIDOCS":0.18088,"BelebeleRetrieval":0.567181835106383,"IsiZuluNewsClassification":0.242553,"TwitterHjerneRetrieval":0.57122,"STSB":0.7956975,"STSES":0.732052,"KorSarcasmClassification":0.54624,"WinoGrande":0.3529,"SentimentAnalysisHindi":0.633183,"RuBQReranking":0.66447,"CyrillicTurkicLangClassification":0.705518,"FilipinoShopeeReviewsClassification":0.3184325,"STS22.v2":0.6526882222222222,"RomaniBibleClustering":0.40115,"MacedonianTweetSentimentClassification":0.509833,"AfriSentiClassification":0.40548925,"STS12":0.761098,"LegalBenchCorporateLobbying":0.9326,"TweetTopicSingleClassification":0.74495,"MultiEURLEXMultilabelClassification":0.04174,"T2Reranking":0.66547,"GreekLegalCodeClassification":0.375342,"SlovakMovieReviewSentimentClassification":0.730322,"FaroeseSTS":0.568217,"SwissJudgementClassification":0.5508493333333333,"TwitterURLCorpus":0.862675,"TRECCOVID":0.76012,"IndicLangClassification":0.829266,"GujaratiNewsClassification":0.721927,"ItaCaseholdClassification":0.630317,"FloresBitextMining":0.49729349212788565,"Robust04InstructionRetrieval":-0.080863,"BulgarianStoreReviewSentimentClassfication":0.61978,"OdiaNewsClassification":0.525449,"TswanaNewsClassification":0.28501,"PlscClusteringP2P.v2":0.725797,"FinancialPhrasebankClassification":0.85561,"News21InstructionRetrieval":0.023091,"StackOverflowQA":0.80605,"Core17InstructionRetrieval":-0.009425,"WebLINXCandidatesReranking":0.10188516666666665,"PAC":0.666377,"VoyageMMarcoReranking":0.59318,"MedrxivClusteringP2P.v2":0.403121,"GermanSTSBenchmark":0.760337,"AlloprofReranking":0.73899,"AlloProfClusteringS2S.v2":0.426973,"ScalaClassification":0.51257325,"indonli":0.517515,"IN22GenBitextMining":0.5333162332015811,"CovidRetrieval":0.76817,"BigPatentClustering.v2":0.342098,"PawsXPairClassification":0.5259616428571429,"NusaXBitextMining":0.6272215454545454,"NusaParagraphEmotionClassification":0.42052949999999995,"LEMBPasskeyRetrieval":0.905,"CTKFactsNLI":0.752312,"DiaBlaBitextMining":0.830284,"IndonesianIdClickbaitClassification":0.579068,"XNLI":0.6912235714285714},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":68,"model":{"name":"hotchpotch/bekko-embedding-v1-a8m","url":"https://huggingface.co/hotchpotch/bekko-embedding-v1-a8m","zeroShotPct":98,"activeParamsB":0.008,"totalParamsB":0.106,"embeddingDim":384,"maxTokens":8192.0,"releaseDate":"2026-07-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Amharic","Angika","Armenian","Basque","Belarusian","Bengali","Betawi","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Central Kurdish","Croatian","Czech","Danish","Dutch","Egyptian Arabic","Esperanto","Fiji Hindi (Latin)","Filipino","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Halh Mongolian","Hebrew","Hindi","Hmong Daw (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latin","Lithuanian","Luxembourgish","Macedonian","Malayalam","Maltese","Mandarin Chinese (Han)","Maori","Marathi","Middle High German (ca. 1050-1500) (Latin)","Modern Greek (1453-)","Moroccan Arabic","Najdi Arabic","Narom (Latin)","Neapolitan (Latin)","Nepali (individual language)","Nigerian Pidgin","North Azerbaijani","Northern Kurdish","Northern Uzbek","Northern Uzbek (Cyrillic)","Norwegian Bokmål","Norwegian Nynorsk","Odia","Panjabi","Persian","Plateau Malagasy","Polish","Portuguese","Romanian","Russian","Scottish Gaelic","Serbian","Serbian (Latin)","Sindhi","Sinhala","Slovak","Slovenian","Somali","Southern Pashto","Spanish","Standard Arabic","Standard Estonian (Latin)","Standard Latvian","Standard Malay","Swahili (individual language)","Swedish","Swiss German","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Tosk Albanian","Turkish","Ukrainian","Urdu","Vietnamese","Vlax Romani (Latin)","Welsh","Western Frisian","Xhosa","Yue Chinese (Han)"],"citation":"@misc{tateno2026bekko,\n title={Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders},\n author={Yuichi Tateno},\n year={2026},\n eprint={2607.25180},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2607.25180},\n}","memoryUsageMb":202.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/hotchpotch/bekko-embedding-v1-unsupervised","adaptedFrom":"jhu-clsp/mmBERT-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["HotpotQA","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCOHardNegatives","NQ","NanoMSMARCORetrieval","PawsXPairClassification"]},"zeroShotPct":98,"activeParamsB":0.008,"totalParamsB":0.106,"embeddingDim":384,"maxTokens":8192,"meanTask":0.5673264919019948,"meanTaskType":0.5005201710290197,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03340566666666666,"MultilabelClassification":0.18593881739130436,"Classification":0.5481510288697509,"Retrieval":0.5627437209031564,"Reranking":0.6053908680555556,"STS":0.716446773989899,"Clustering":0.4239469129067712,"PairClassification":0.7646650768398268,"BitextMining":0.7308040069715797},"scoresByTask":{"SemRel24STS":0.6262045833333333,"FinParaSTS":0.2176715,"PolEmo2.0-OUT":0.228543,"JSICK":0.829796,"SwednClusteringP2P":0.335741,"MalteseNewsClassification":0.214062,"CzechProductReviewSentimentClassification":0.474268,"STS13":0.803475,"IndicCrosslingualSTS":0.4489235833333333,"SprintDuplicateQuestions":0.963094,"WikipediaRerankingMultilingual":0.855746875,"EstonianValenceClassification":0.369315,"STS15":0.872158,"MLQARetrieval":0.6748975510204082,"HALClusteringS2S.v2":0.235405,"PoemSentimentClassification":0.4746105,"BrazilianToxicTweetsClassification":0.201465,"StatcanDialogueDatasetRetrieval":0.226895,"STS17":0.7547332727272728,"NordicLangClassification":0.382067,"ArXivHierarchicalClusteringP2P":0.54496,"NusaTranslationBitextMining":0.7771548181818182,"MassiveIntentClassification":0.5317728921568627,"CLSClusteringP2P.v2":0.357288,"WikipediaRetrievalMultilingual":0.860239375,"SinhalaNewsClassification":0.638135,"StackExchangeClustering.v2":0.515445,"MasakhaNEWSClassification":0.76352125,"NusaX-senti":0.639125,"CataloniaTweetClassification":0.472213,"OpusparcusPC":0.9295704166666666,"ArmenianParaphrasePC":0.941869,"KorHateSpeechMLClassification":0.083751,"WikiClusteringP2P.v2":0.26139635714285714,"AmazonCounterfactualClassification":0.695075875,"ArXivHierarchicalClusteringS2S":0.521138,"NepaliNewsClassification":0.937549,"ArguAna":0.55413,"AILAStatutes":0.33939,"ToxicConversationsClassification":0.682471,"IndicGenBenchFloresBitextMining":0.8948773879310344,"CSFDSKMovieReviewSentimentClassification":0.270898,"SiswatiNewsClassification":0.625,"CEDRClassification":0.39187,"TempReasonL1":0.01059,"BiorxivClusteringP2P.v2":0.391591,"NorwegianCourtsBitextMining":0.934211,"PunjabiNewsClassification":0.792357,"SpartQA":0.12036,"BUCC.v2":0.98124,"BornholmBitextMining":0.49181,"BibleNLPBitextMining":0.19171301328502413,"SIB200ClusteringS2S":0.24396062436548224,"RTE3":0.87154675,"TERRa":0.576336,"SwahiliNewsClassification":0.616553,"DBpediaClassification":0.836963,"HagridRetrieval":0.98694,"MultiHateClassification":0.5831090909090909,"WikiCitiesClustering":0.893985,"Tatoeba":0.6757816964285714,"STS14":0.778922,"KurdishSentimentClassification":0.76618,"PpcPC":0.803747,"STSBenchmark":0.8445,"MasakhaNEWSClusteringS2S":0.378243625,"MIRACLRetrievalHardNegatives":0.5349655555555555,"NTREXBitextMining":0.8686474556367432,"DalajClassification":0.500563,"SICK-R":0.719193,"NollySentiBitextMining":0.6528775,"SCIDOCS":0.19432,"BelebeleRetrieval":0.6971394946808511,"IsiZuluNewsClassification":0.350266,"TwitterHjerneRetrieval":0.56723,"STSB":0.7960095,"STSES":0.789767,"KorSarcasmClassification":0.54585,"WinoGrande":0.59285,"SentimentAnalysisHindi":0.558973,"RuBQReranking":0.64266,"CyrillicTurkicLangClassification":0.313037,"FilipinoShopeeReviewsClassification":0.3109135,"STS22.v2":0.6775659444444444,"RomaniBibleClustering":0.413026,"MacedonianTweetSentimentClassification":0.5741,"AfriSentiClassification":0.43905174999999996,"STS12":0.766207,"LegalBenchCorporateLobbying":0.91777,"TweetTopicSingleClassification":0.679327,"MultiEURLEXMultilabelClassification":0.03854608695652174,"T2Reranking":0.66668,"GreekLegalCodeClassification":0.3199705,"SlovakMovieReviewSentimentClassification":0.610693,"FaroeseSTS":0.728211,"SwissJudgementClassification":0.5580933333333333,"TwitterURLCorpus":0.85333,"TRECCOVID":0.53351,"IndicLangClassification":0.148034,"GujaratiNewsClassification":0.733915,"ItaCaseholdClassification":0.661538,"FloresBitextMining":0.7156557211436299,"Robust04InstructionRetrieval":-0.066034,"BulgarianStoreReviewSentimentClassfication":0.458791,"OdiaNewsClassification":0.702916,"TswanaNewsClassification":0.445791,"PlscClusteringP2P.v2":0.705173,"FinancialPhrasebankClassification":0.706979,"News21InstructionRetrieval":-0.015607,"StackOverflowQA":0.74779,"Core17InstructionRetrieval":-0.018576,"WebLINXCandidatesReranking":0.12696833333333332,"PAC":0.679902,"VoyageMMarcoReranking":0.65336,"MedrxivClusteringP2P.v2":0.352208,"GermanSTSBenchmark":0.8098110000000001,"AlloprofReranking":0.68693,"AlloProfClusteringS2S.v2":0.325517,"ScalaClassification":0.50102525,"indonli":0.520826,"IN22GenBitextMining":0.7577070434782609,"CovidRetrieval":0.72037,"BigPatentClustering.v2":0.308073,"PawsXPairClassification":0.5353319285714285,"NusaXBitextMining":0.7177084545454545,"NusaParagraphEmotionClassification":0.41274829999999996,"LEMBPasskeyRetrieval":0.85,"CTKFactsNLI":0.7404044999999999,"DiaBlaBitextMining":0.841068,"IndonesianIdClickbaitClassification":0.57829,"XNLI":0.67526025},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","PawsXPairClassification"],"experiments":null},{"rank":69,"model":{"name":"intfloat/multilingual-e5-base","url":"https://huggingface.co/intfloat/multilingual-e5-base","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"\n@article{wang2024multilingual,\n title={Multilingual E5 Text Embeddings: A Technical Report},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2402.05672},\n year={2024}\n}\n","memoryUsageMb":1061.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":0.5702229678407708,"meanTaskType":0.498238455165708,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02653979464467561,"MultilabelClassification":0.19994086434793512,"Classification":0.5820495169519949,"Retrieval":0.5272182269168503,"Reranking":0.6017636038075229,"STS":0.7144424898041946,"Clustering":0.418154268992964,"PairClassification":0.771791595896529,"BitextMining":0.6953253244180568},"scoresByTask":{"SemRel24STS":0.6148645709140282,"FinParaSTS":0.2272335634612951,"PolEmo2.0-OUT":0.4392712550607287,"JSICK":0.8122589759302916,"SwednClusteringP2P":0.3525218788316018,"MalteseNewsClassification":0.2575097953852852,"CzechProductReviewSentimentClassification":0.544970703125,"STS13":0.7802330106775197,"IndicCrosslingualSTS":0.41113889998269176,"SprintDuplicateQuestions":0.9301551354758207,"WikipediaRerankingMultilingual":0.8773647652116402,"EstonianValenceClassification":0.4123471882640587,"STS15":0.8815964513683959,"MLQARetrieval":0.7024126530612245,"HALClusteringS2S.v2":0.20560850388912005,"PoemSentimentClassification":0.4665247252747253,"BrazilianToxicTweetsClassification":0.18999,"StatcanDialogueDatasetRetrieval":0.13721,"STS17":0.783495220311829,"NordicLangClassification":0.7585333333333334,"ArXivHierarchicalClusteringP2P":0.5668313660694407,"NusaTranslationBitextMining":0.6351884057936822,"MassiveIntentClassification":0.5417837825100603,"CLSClusteringP2P.v2":0.38979458846690196,"WikipediaRetrievalMultilingual":0.8875087500000001,"SinhalaNewsClassification":0.6578125,"StackExchangeClustering.v2":0.445731971756278,"MasakhaNEWSClassification":0.7384936549130209,"NusaX-senti":0.6875625,"CataloniaTweetClassification":0.4919375,"OpusparcusPC":0.9275231752459785,"ArmenianParaphrasePC":0.936790154244407,"KorHateSpeechMLClassification":0.08924889543446245,"WikiClusteringP2P.v2":0.2502530930365376,"AmazonCounterfactualClassification":0.7433401424126785,"ArXivHierarchicalClusteringS2S":0.5611505558712511,"NepaliNewsClassification":0.8935546875,"ArguAna":0.44206,"AILAStatutes":0.20371,"ToxicConversationsClassification":0.643310546875,"IndicGenBenchFloresBitextMining":0.8755012048890468,"CSFDSKMovieReviewSentimentClassification":0.319970703125,"SiswatiNewsClassification":0.47000000000000003,"CEDRClassification":0.4232199787460149,"TempReasonL1":0.00723,"BiorxivClusteringP2P.v2":0.38867753499529095,"NorwegianCourtsBitextMining":0.8954678362573099,"PunjabiNewsClassification":0.8070063694267517,"SpartQA":0.07914,"BUCC.v2":0.9832702432332955,"BornholmBitextMining":0.3321808524808525,"BibleNLPBitextMining":0.1399684043394193,"SIB200ClusteringS2S":0.21623275261146016,"RTE3":0.8725055958403447,"TERRa":0.5498367488012741,"SwahiliNewsClassification":0.62568359375,"DBpediaClassification":0.87099609375,"HagridRetrieval":0.98766,"MultiHateClassification":0.5951,"WikiCitiesClustering":0.7987175879554366,"Tatoeba":0.6805819069367823,"STS14":0.7659646479642243,"KurdishSentimentClassification":0.7640664318067438,"PpcPC":0.882969,"STSBenchmark":0.8563930748879539,"MasakhaNEWSClusteringS2S":0.3941257535325063,"MIRACLRetrievalHardNegatives":0.6276438888888889,"NTREXBitextMining":0.8490554151366932,"DalajClassification":0.4975225225225225,"SICK-R":0.7851396550478342,"NollySentiBitextMining":0.6340499424698008,"SCIDOCS":0.17168,"BelebeleRetrieval":0.7072227925531915,"IsiZuluNewsClassification":0.3147606382978723,"TwitterHjerneRetrieval":0.42163,"STSB":0.8068840851794232,"STSES":0.8163465862445543,"KorSarcasmClassification":0.5470703125,"WinoGrande":0.56177,"SentimentAnalysisHindi":0.6464383926809989,"RuBQReranking":0.7201216785249704,"CyrillicTurkicLangClassification":0.49609375,"FilipinoShopeeReviewsClassification":0.3419921875,"STS22.v2":0.6460216150229415,"RomaniBibleClustering":0.40408297243123215,"MacedonianTweetSentimentClassification":0.6063213345039509,"AfriSentiClassification":0.4380231465026481,"STS12":0.7669682068361314,"LegalBenchCorporateLobbying":0.88968,"TweetTopicSingleClassification":0.6744240992321322,"MultiEURLEXMultilabelClassification":0.03973565217391305,"T2Reranking":0.6486420736157057,"GreekLegalCodeClassification":0.290283203125,"SlovakMovieReviewSentimentClassification":0.6462890625,"FaroeseSTS":0.6632589857661965,"SwissJudgementClassification":0.5644293593039112,"TwitterURLCorpus":0.8548080278022832,"TRECCOVID":0.69492,"IndicLangClassification":0.22861134854362547,"GujaratiNewsClassification":0.7490895295902883,"ItaCaseholdClassification":0.6153846153846153,"FloresBitextMining":0.7455973945233266,"Robust04InstructionRetrieval":-0.07429595342940719,"BulgarianStoreReviewSentimentClassfication":0.6939560439560439,"OdiaNewsClassification":0.7728424148535061,"TswanaNewsClassification":0.4102669404517454,"PlscClusteringP2P.v2":0.7068204996394601,"FinancialPhrasebankClassification":0.8209363957597173,"News21InstructionRetrieval":-0.011437673339867031,"StackOverflowQA":0.85113,"Core17InstructionRetrieval":0.006114242835247392,"WebLINXCandidatesReranking":0.07048566712813642,"PAC":0.7086591369823342,"VoyageMMarcoReranking":0.634995917570887,"MedrxivClusteringP2P.v2":0.33508773965624533,"GermanSTSBenchmark":0.8132822872718026,"AlloprofReranking":0.6589715207937976,"AlloProfClusteringS2S.v2":0.3411318975061236,"ScalaClassification":0.5088625,"indonli":0.5096618305531675,"IN22GenBitextMining":0.7412770701267871,"CovidRetrieval":0.73482,"BigPatentClustering.v2":0.3336996076385371,"PawsXPairClassification":0.5246310056085185,"NusaXBitextMining":0.6801095412477435,"NusaParagraphEmotionClassification":0.38301886855471595,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.7824458549656494,"DiaBlaBitextMining":0.846981,"IndonesianIdClickbaitClassification":0.6005877150630511,"XNLI":0.7183810263243762},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":70,"model":{"name":"openai/text-embedding-3-small","url":"https://openai.com/index/new-embedding-models-and-api-updates/","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":8191.0,"releaseDate":"2024-01-25","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["openai"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":8191,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.023828477900349754,"MultilabelClassification":0.19919117395091068,"Clustering":0.460666080890479,"BitextMining":0.5037709775206903},"scoresByTask":{"SemRel24STS":0.6089785224623995,"FinParaSTS":0.17413570572498877,"PolEmo2.0-OUT":0.31457489878542505,"JSICK":0.8080212135305126,"SwednClusteringP2P":0.36220399999999997,"MalteseNewsClassification":0.26560731388767955,"CzechProductReviewSentimentClassification":0.53330078125,"STS13":0.8491997414,"IndicCrosslingualSTS":0.04129674535283759,"EstonianValenceClassification":0.38728606356968215,"STS15":0.8801202172,"MLQARetrieval":0.5547270408163265,"HALClusteringS2S.v2":0.27265050122581785,"PoemSentimentClassification":0.49945512820512816,"BrazilianToxicTweetsClassification":0.2205078125,"StatcanDialogueDatasetRetrieval":0.24115999999999999,"NordicLangClassification":0.678933,"ArXivHierarchicalClusteringP2P":0.5788295087642524,"NusaTranslationBitextMining":0.6820947612054312,"MassiveIntentClassification":0.5173333235294117,"CLSClusteringP2P.v2":0.3879678702859093,"SinhalaNewsClassification":0.46708984375,"StackExchangeClustering.v2":0.5907183636054019,"MasakhaNEWSClassification":0.7015809227536728,"NusaX-senti":0.6422291666666667,"CataloniaTweetClassification":0.5087875,"ArmenianParaphrasePC":0.911406409809348,"KorHateSpeechMLClassification":0.07673048600883652,"WikiClusteringP2P.v2":0.27465584202547777,"ArXivHierarchicalClusteringS2S":0.5710651257728321,"NepaliNewsClassification":0.7564453125,"ArguAna":0.55486,"AILAStatutes":0.28335,"ToxicConversationsClassification":0.719124,"IndicGenBenchFloresBitextMining":0.18091791452489764,"CSFDSKMovieReviewSentimentClassification":0.3140625,"SiswatiNewsClassification":0.6012500000000001,"CEDRClassification":0.39383634431455905,"TempReasonL1":0.02348,"BiorxivClusteringP2P.v2":0.4025718174108642,"NorwegianCourtsBitextMining":0.924269,"PunjabiNewsClassification":0.689171974522293,"SpartQA":0.06627,"BUCC.v2":0.9858721749051333,"BornholmBitextMining":0.412929,"BibleNLPBitextMining":0.09814203093916309,"SIB200ClusteringS2S":0.22701765996486883,"RTE3":0.8612929481350924,"TERRa":0.5372882766621385,"SwahiliNewsClassification":0.62431640625,"DBpediaClassification":0.889990234375,"HagridRetrieval":0.98781,"MultiHateClassification":0.6033545454545455,"WikiCitiesClustering":0.8982232121571151,"Tatoeba":0.4889309434160839,"STS14":0.7981407149,"KurdishSentimentClassification":0.627176648213387,"PpcPC":0.8461124320022559,"STSBenchmark":0.8423906519,"MasakhaNEWSClusteringS2S":0.43762602712637655,"NTREXBitextMining":0.5279556572268727,"DalajClassification":0.50045,"SICK-R":0.7673167594,"NollySentiBitextMining":0.3275247020647606,"SCIDOCS":0.20797,"BelebeleRetrieval":0.5540947074468084,"IsiZuluNewsClassification":0.2680851063829787,"TwitterHjerneRetrieval":0.70883,"STSB":0.7778555263836353,"STSES":0.781869,"KorSarcasmClassification":0.594287109375,"WinoGrande":0.31526,"SentimentAnalysisHindi":0.4434969561728394,"RuBQReranking":0.6599933069354724,"CyrillicTurkicLangClassification":0.55419921875,"FilipinoShopeeReviewsClassification":0.343994140625,"STS22.v2":0.6602746986805054,"RomaniBibleClustering":0.41613019150662744,"MacedonianTweetSentimentClassification":0.4905179982440737,"AfriSentiClassification":0.42238183334878693,"STS12":0.7308926436,"LegalBenchCorporateLobbying":0.93903,"TweetTopicSingleClassification":0.7123449497932663,"MultiEURLEXMultilabelClassification":0.03927391304347826,"T2Reranking":0.6570913041914855,"GreekLegalCodeClassification":0.18649902343750002,"SlovakMovieReviewSentimentClassification":0.663623046875,"FaroeseSTS":0.6563423078970047,"SwissJudgementClassification":0.5754855605034818,"TRECCOVID":0.77903,"IndicLangClassification":0.7561871260437899,"GujaratiNewsClassification":0.5038694992412747,"ItaCaseholdClassification":0.629864253393665,"FloresBitextMining":0.31800995297901496,"Robust04InstructionRetrieval":-0.06493680208692315,"BulgarianStoreReviewSentimentClassfication":0.5318681318681318,"OdiaNewsClassification":0.4848585004583432,"TswanaNewsClassification":0.30123203285420946,"PlscClusteringP2P.v2":0.7112288765757434,"FinancialPhrasebankClassification":0.7784893992932862,"News21InstructionRetrieval":-0.018085227846059017,"StackOverflowQA":0.88672,"Core17InstructionRetrieval":0.011536596231932908,"WebLINXCandidatesReranking":0.11679498875910412,"PAC":0.668288444830582,"VoyageMMarcoReranking":0.5348483307636431,"MedrxivClusteringP2P.v2":0.36448130580518867,"GermanSTSBenchmark":0.8216816901357918,"AlloprofReranking":0.7484190604835087,"AlloProfClusteringS2S.v2":0.5213000030232618,"ScalaClassification":0.504309,"indonli":0.5071241965194344,"IN22GenBitextMining":0.1405340021243533,"CovidRetrieval":0.61067,"BigPatentClustering.v2":0.3539869889979264,"PawsXPairClassification":0.5748861297027198,"NusaXBitextMining":0.6041726383751299,"NusaParagraphEmotionClassification":0.40064298966272105,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7617649880678294,"DiaBlaBitextMining":0.8576699300081345,"IndonesianIdClickbaitClassification":0.5878382402893776,"XNLI":0.6752916659328496},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":71,"model":{"name":"mongodb/voyage-3-lite","url":"https://blog.voyageai.com/2024/09/18/voyage-3/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":32000.0,"releaseDate":"2024-09-18","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"mongodb/voyage-4-lite","extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.011744333333333334,"Classification":0.5793425303450026,"Retrieval":0.5860213400998697,"Reranking":0.6029279340277778,"STS":0.681978933080808,"Clustering":0.44821718329065446,"PairClassification":0.7506683560606061,"BitextMining":0.6011951463117204},"scoresByTask":{"SemRel24STS":0.6408604166666666,"FinParaSTS":0.241568,"PolEmo2.0-OUT":0.419838,"JSICK":0.780621,"SwednClusteringP2P":0.3695465,"MalteseNewsClassification":0.304179,"CzechProductReviewSentimentClassification":0.531689,"STS13":0.765052,"IndicCrosslingualSTS":0.31913058333333333,"SprintDuplicateQuestions":0.894701,"WikipediaRerankingMultilingual":0.8803859375,"EstonianValenceClassification":0.416626,"STS15":0.811019,"MLQARetrieval":0.684669387755102,"HALClusteringS2S.v2":0.24757,"PoemSentimentClassification":0.523054,"BrazilianToxicTweetsClassification":0.196729,"StatcanDialogueDatasetRetrieval":0.2827925,"STS17":0.7304648181818183,"NordicLangClassification":0.489233,"ArXivHierarchicalClusteringP2P":0.568291,"NusaTranslationBitextMining":0.6357760909090909,"MassiveIntentClassification":0.5656881862745098,"CLSClusteringP2P.v2":0.378802,"WikipediaRetrievalMultilingual":0.8911275,"SinhalaNewsClassification":0.73208,"StackExchangeClustering.v2":0.562448,"MasakhaNEWSClassification":0.7362516875,"NusaX-senti":0.6578958333333333,"CataloniaTweetClassification":0.49402925000000003,"OpusparcusPC":0.9337419166666666,"ArmenianParaphrasePC":0.952588,"KorHateSpeechMLClassification":0.08218,"WikiClusteringP2P.v2":0.27813935714285715,"AmazonCounterfactualClassification":0.646352625,"ArXivHierarchicalClusteringS2S":0.551711,"NepaliNewsClassification":0.94917,"ArguAna":0.60139,"AILAStatutes":0.35033,"ToxicConversationsClassification":0.618604,"IndicGenBenchFloresBitextMining":0.7688232758620689,"CSFDSKMovieReviewSentimentClassification":0.327881,"SiswatiNewsClassification":0.61875,"CEDRClassification":0.375611,"TempReasonL1":0.01849,"BiorxivClusteringP2P.v2":0.400315,"NorwegianCourtsBitextMining":0.925439,"PunjabiNewsClassification":0.805096,"SpartQA":0.00452,"BUCC.v2":0.96477375,"BornholmBitextMining":0.40006,"BibleNLPBitextMining":0.07592161473429951,"SIB200ClusteringS2S":0.2945327005076142,"RTE3":0.8602375,"TERRa":0.526819,"SwahiliNewsClassification":0.623047,"DBpediaClassification":0.912109,"HagridRetrieval":0.98692,"MultiHateClassification":0.5891272727272727,"WikiCitiesClustering":0.828504,"Tatoeba":0.6192001517857142,"STS14":0.719166,"KurdishSentimentClassification":0.742174,"PpcPC":0.851091,"STSBenchmark":0.785603,"MasakhaNEWSClusteringS2S":0.429780375,"MIRACLRetrievalHardNegatives":0.48659500000000006,"NTREXBitextMining":0.7010127599164927,"DalajClassification":0.5,"SICK-R":0.766482,"NollySentiBitextMining":0.35818500000000003,"SCIDOCS":0.19119,"BelebeleRetrieval":0.7111597340425532,"IsiZuluNewsClassification":0.240559,"TwitterHjerneRetrieval":0.72655,"STSB":0.6758795,"STSES":0.805674,"KorSarcasmClassification":0.578516,"WinoGrande":0.41167,"SentimentAnalysisHindi":0.530604,"RuBQReranking":0.678469,"CyrillicTurkicLangClassification":0.419971,"FilipinoShopeeReviewsClassification":0.299829,"STS22.v2":0.685241611111111,"RomaniBibleClustering":0.393129,"MacedonianTweetSentimentClassification":0.583494,"AfriSentiClassification":0.416541,"STS12":0.70758,"LegalBenchCorporateLobbying":0.94528,"TweetTopicSingleClassification":0.712286,"T2Reranking":0.653961,"GreekLegalCodeClassification":0.36845700000000003,"SlovakMovieReviewSentimentClassification":0.649268,"FaroeseSTS":0.76202,"SwissJudgementClassification":0.553464,"TwitterURLCorpus":0.840877,"TRECCOVID":0.76499,"IndicLangClassification":0.323424,"GujaratiNewsClassification":0.826176,"ItaCaseholdClassification":0.683258,"FloresBitextMining":0.47154338730319717,"Robust04InstructionRetrieval":-0.040619,"BulgarianStoreReviewSentimentClassfication":0.631319,"OdiaNewsClassification":0.792925,"TswanaNewsClassification":0.360164,"PlscClusteringP2P.v2":0.7077,"FinancialPhrasebankClassification":0.799205,"News21InstructionRetrieval":0.001284,"StackOverflowQA":0.89412,"Core17InstructionRetrieval":0.004102,"WebLINXCandidatesReranking":0.10286166666666667,"PAC":0.703533,"VoyageMMarcoReranking":0.551724,"MedrxivClusteringP2P.v2":0.363005,"GermanSTSBenchmark":0.715301,"AlloprofReranking":0.750166,"AlloProfClusteringS2S.v2":0.460873,"ScalaClassification":0.50880125,"indonli":0.493848,"IN22GenBitextMining":0.6752190533596838,"CovidRetrieval":0.74909,"BigPatentClustering.v2":0.337128,"PawsXPairClassification":0.5454705,"NusaXBitextMining":0.5184908181818182,"NusaParagraphEmotionClassification":0.4005657,"LEMBPasskeyRetrieval":0.8475,"CTKFactsNLI":0.737435,"DiaBlaBitextMining":0.701092,"IndonesianIdClickbaitClassification":0.630673,"XNLI":0.620543},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":72,"model":{"name":"mongodb/voyage-3","url":"https://blog.voyageai.com/2024/09/18/voyage-3/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2024-09-18","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.013462999999999998,"Retrieval":0.6617770187218899,"Reranking":0.6336415381944445,"STS":0.6851780050505051,"PairClassification":0.7618470519480518,"BitextMining":0.6003410770796015},"scoresByTask":{"SemRel24STS":0.6466249166666667,"FinParaSTS":0.2251015,"PolEmo2.0-OUT":0.426113,"JSICK":0.717563,"SwednClusteringP2P":0.34909100000000004,"MalteseNewsClassification":0.290248,"CzechProductReviewSentimentClassification":0.486377,"STS13":0.805623,"IndicCrosslingualSTS":0.41628858333333335,"SprintDuplicateQuestions":0.901969,"WikipediaRerankingMultilingual":0.8816955625,"EstonianValenceClassification":0.403667,"STS15":0.803908,"MLQARetrieval":0.7568997959183674,"HALClusteringS2S.v2":0.28794,"PoemSentimentClassification":0.47224350000000004,"BrazilianToxicTweetsClassification":0.182471,"StatcanDialogueDatasetRetrieval":0.49170749999999996,"STS17":0.7624326363636363,"NordicLangClassification":0.470267,"ArXivHierarchicalClusteringP2P":0.55695,"NusaTranslationBitextMining":0.5842362727272726,"MassiveIntentClassification":0.5451384019607843,"CLSClusteringP2P.v2":0.347463,"WikipediaRetrievalMultilingual":0.897291875,"SinhalaNewsClassification":0.739844,"StackExchangeClustering.v2":0.527743,"MasakhaNEWSClassification":0.72383925,"NusaX-senti":0.6599583333333333,"CataloniaTweetClassification":0.5091697500000001,"OpusparcusPC":0.9361134999999999,"ArmenianParaphrasePC":0.963822,"KorHateSpeechMLClassification":0.086352,"WikiClusteringP2P.v2":0.2686537857142857,"AmazonCounterfactualClassification":0.61511225,"ArXivHierarchicalClusteringS2S":0.569548,"NepaliNewsClassification":0.923779,"ArguAna":0.60956,"AILAStatutes":0.42489,"ToxicConversationsClassification":0.607275,"IndicGenBenchFloresBitextMining":0.8008771637931035,"CSFDSKMovieReviewSentimentClassification":0.371826,"SiswatiNewsClassification":0.62625,"CEDRClassification":0.361743,"TempReasonL1":0.01233,"BiorxivClusteringP2P.v2":0.394713,"NorwegianCourtsBitextMining":0.905702,"SpartQA":0.10728,"BUCC.v2":0.9668595,"BornholmBitextMining":0.346285,"BibleNLPBitextMining":0.08564751086956522,"SIB200ClusteringS2S":0.2925351878172589,"RTE3":0.8744675,"TERRa":0.520441,"SwahiliNewsClassification":0.600732,"DBpediaClassification":0.889014,"HagridRetrieval":0.9862,"MultiHateClassification":0.6062545454545455,"WikiCitiesClustering":0.836926,"Tatoeba":0.6223189553571429,"STS14":0.733251,"KurdishSentimentClassification":0.710367,"PpcPC":0.881605,"STSBenchmark":0.795318,"MasakhaNEWSClusteringS2S":0.4007635,"MIRACLRetrievalHardNegatives":0.5766877777777778,"NTREXBitextMining":0.7110175438413361,"DalajClassification":0.499662,"SICK-R":0.796314,"NollySentiBitextMining":0.31324,"SCIDOCS":0.21429,"BelebeleRetrieval":0.7653593882978723,"IsiZuluNewsClassification":0.256915,"TwitterHjerneRetrieval":0.86646,"STSB":0.66569,"STSES":0.725128,"KorSarcasmClassification":0.57251,"WinoGrande":0.67744,"SentimentAnalysisHindi":0.545921,"RuBQReranking":0.726014,"CyrillicTurkicLangClassification":0.383643,"FilipinoShopeeReviewsClassification":0.333911,"STS22.v2":0.7188099444444445,"RomaniBibleClustering":0.406908,"MacedonianTweetSentimentClassification":0.570149,"AfriSentiClassification":0.4268479166666666,"STS12":0.695154,"LegalBenchCorporateLobbying":0.94543,"TweetTopicSingleClassification":0.687419,"T2Reranking":0.65271,"SlovakMovieReviewSentimentClassification":0.748291,"FaroeseSTS":0.725055,"SwissJudgementClassification":0.563392,"TwitterURLCorpus":0.836063,"TRECCOVID":0.8046,"IndicLangClassification":0.251693,"GujaratiNewsClassification":0.876328,"ItaCaseholdClassification":0.665158,"FloresBitextMining":0.5192729447744615,"Robust04InstructionRetrieval":-0.019968,"BulgarianStoreReviewSentimentClassfication":0.60989,"OdiaNewsClassification":0.812839,"TswanaNewsClassification":0.374538,"PlscClusteringP2P.v2":0.700728,"FinancialPhrasebankClassification":0.81621,"News21InstructionRetrieval":0.045874,"StackOverflowQA":0.94335,"Core17InstructionRetrieval":0.014483,"WebLINXCandidatesReranking":0.09110466666666667,"PAC":0.684738,"VoyageMMarcoReranking":0.603784,"MedrxivClusteringP2P.v2":0.351939,"GermanSTSBenchmark":0.7305865,"AlloprofReranking":0.846541,"AlloProfClusteringS2S.v2":0.45564,"ScalaClassification":0.50617675,"indonli":0.512505,"IN22GenBitextMining":0.740880747035573,"CovidRetrieval":0.88471,"PawsXPairClassification":0.5804987857142857,"NusaXBitextMining":0.4891163636363636,"NusaParagraphEmotionClassification":0.4585399,"LEMBPasskeyRetrieval":0.9475,"CTKFactsNLI":0.7544105,"DiaBlaBitextMining":0.71898,"IndonesianIdClickbaitClassification":0.609775,"XNLI":0.6184222857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":73,"model":{"name":"intfloat/multilingual-e5-small","url":"https://huggingface.co/intfloat/multilingual-e5-small","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"\n@article{wang2024multilingual,\n title={Multilingual E5 Text Embeddings: A Technical Report},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2402.05672},\n year={2024}\n}\n","memoryUsageMb":449.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"microsoft/Multilingual-MiniLM-L12-H384","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02446833333333333,"MultilabelClassification":0.19045086701473918,"BitextMining":0.6940291687317486},"scoresByTask":{"SemRel24STS":0.6151575833333333,"FinParaSTS":0.201573,"PolEmo2.0-OUT":0.238057,"JSICK":0.814204,"SwednClusteringP2P":0.31482699999999997,"MalteseNewsClassification":0.226687,"CzechProductReviewSentimentClassification":0.507227,"STS13":0.774714,"IndicCrosslingualSTS":0.45931341666666664,"SprintDuplicateQuestions":0.935791,"EstonianValenceClassification":0.396822,"STS15":0.874871,"MLQARetrieval":0.6384725510204081,"HALClusteringS2S.v2":0.181347,"PoemSentimentClassification":0.455481,"BrazilianToxicTweetsClassification":0.189746,"StatcanDialogueDatasetRetrieval":0.1032975,"NordicLangClassification":0.751533,"ArXivHierarchicalClusteringP2P":0.52699,"NusaTranslationBitextMining":0.7720125454545456,"MassiveIntentClassification":0.5158192647058824,"CLSClusteringP2P.v2":0.390219,"SinhalaNewsClassification":0.675195,"StackExchangeClustering.v2":0.502063,"MasakhaNEWSClassification":0.7343954375,"NusaX-senti":0.6609375000000001,"CataloniaTweetClassification":0.4827035,"OpusparcusPC":0.92537175,"ArmenianParaphrasePC":0.932118,"KorHateSpeechMLClassification":0.088365,"WikiClusteringP2P.v2":0.2589842857142857,"ArXivHierarchicalClusteringS2S":0.538085,"NepaliNewsClassification":0.921338,"ArguAna":0.39088,"AILAStatutes":0.19011,"ToxicConversationsClassification":0.635254,"IndicGenBenchFloresBitextMining":0.8726491724137931,"CSFDSKMovieReviewSentimentClassification":0.272754,"SiswatiNewsClassification":0.48375,"CEDRClassification":0.4039319872476089,"TempReasonL1":0.00795,"BiorxivClusteringP2P.v2":0.365442,"NorwegianCourtsBitextMining":0.932018,"PunjabiNewsClassification":0.788535,"SpartQA":0.05431,"BUCC.v2":0.97410275,"BornholmBitextMining":0.438852,"BibleNLPBitextMining":0.12314114251207729,"RTE3":0.86577475,"TERRa":0.5751046579848809,"SwahiliNewsClassification":0.608984,"DBpediaClassification":0.871191,"HagridRetrieval":0.98545,"MultiHateClassification":0.5872636363636364,"WikiCitiesClustering":0.756975,"Tatoeba":0.6894057410714286,"STS14":0.775423,"KurdishSentimentClassification":0.783392,"PpcPC":0.877393,"STSBenchmark":0.835893,"MasakhaNEWSClusteringS2S":0.391866,"MIRACLRetrievalHardNegatives":0.600925,"NTREXBitextMining":0.8358316179540709,"DalajClassification":0.501689,"SICK-R":0.786312,"NollySentiBitextMining":0.5491325,"SCIDOCS":0.13896,"BelebeleRetrieval":0.662927579787234,"IsiZuluNewsClassification":0.290027,"TwitterHjerneRetrieval":0.58176,"STSB":0.797172,"STSES":0.796527,"KorSarcasmClassification":0.550781,"WinoGrande":0.37464,"SentimentAnalysisHindi":0.616999,"RuBQReranking":0.7145735496700822,"CyrillicTurkicLangClassification":0.498535,"FilipinoShopeeReviewsClassification":0.336792,"STS22.v2":0.658568888888889,"RomaniBibleClustering":0.403885,"MacedonianTweetSentimentClassification":0.562511,"AfriSentiClassification":0.43187708333333336,"STS12":0.780543,"LegalBenchCorporateLobbying":0.89474,"TweetTopicSingleClassification":0.678854,"MultiEURLEXMultilabelClassification":0.04352434782608696,"T2Reranking":0.65718,"GreekLegalCodeClassification":0.3264645,"SlovakMovieReviewSentimentClassification":0.605127,"FaroeseSTS":0.681804,"SwissJudgementClassification":0.5387233333333333,"TwitterURLCorpus":0.858645,"TRECCOVID":0.72287,"IndicLangClassification":0.339648,"GujaratiNewsClassification":0.746662,"ItaCaseholdClassification":0.659276,"FloresBitextMining":0.6899834830000966,"Robust04InstructionRetrieval":-0.076222,"BulgarianStoreReviewSentimentClassfication":0.576374,"OdiaNewsClassification":0.78655,"TswanaNewsClassification":0.392813,"PlscClusteringP2P.v2":0.686028,"FinancialPhrasebankClassification":0.781935,"News21InstructionRetrieval":0.005421,"StackOverflowQA":0.81942,"Core17InstructionRetrieval":-0.002604,"WebLINXCandidatesReranking":0.10267933333333333,"PAC":0.692731,"VoyageMMarcoReranking":0.63535,"MedrxivClusteringP2P.v2":0.34349330178320625,"GermanSTSBenchmark":0.8088415,"AlloprofReranking":0.6441,"AlloProfClusteringS2S.v2":0.308775,"ScalaClassification":0.504077,"indonli":0.518577,"IN22GenBitextMining":0.7278608774703557,"CovidRetrieval":0.72821,"BigPatentClustering.v2":0.285455,"NusaXBitextMining":0.5982073636363636,"NusaParagraphEmotionClassification":0.3785441,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.7704985,"DiaBlaBitextMining":0.819182,"IndonesianIdClickbaitClassification":0.624888,"XNLI":0.7179370357142857},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":74,"model":{"name":"ibm-granite/granite-embedding-311m-multilingual-r2","url":"https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2","zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.312,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-04-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Azerbaijani","Bengali","Bulgarian","Catalan","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Georgian","German","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Kazakh","Khmer","Korean","Latvian","Lithuanian","Malay (macrolanguage)","Marathi","Modern Greek (1453-)","Norwegian","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese"],"citation":"@article{awasthy2026graniteembeddingmultilingualr2,\n title={Granite Embedding Multilingual R2 Models},\n author={Parul Awasthy and Aashka Trivedi and Yushu Yang and Ken Barker and Yulong Li and Bhavani Iyer and Martin Franz and Juergen Bross and Meet Doshi and Vignesh P and Vishwajeet Kumar and Todd Ward and Abraham Daniels and Madison Lee and Luis Lastras and Jaydeep Sen and Radu Florian},\n year={2026},\n journal={arXiv preprint arXiv:2605.13521}\n url={https://arxiv.org/abs/2605.13521},\n}","memoryUsageMb":594.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["DBPedia","FEVER","FEVERHardNegatives","HotPotQA","HotpotQAHardNegatives","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQHardNegatives","SpartQA","StackOverflowDupQuestions","StatcanDialogueDatasetRetrieval","TempReasonL1","TempReasonL2Context","TempReasonL2Fact","TempReasonL2Pure","TempReasonL3Context","TempReasonL3Fact","TempReasonL3Pure","WinoGrande"]},"zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.312,"embeddingDim":768,"maxTokens":8192,"meanTask":0.5595681951181032,"meanTaskType":0.4934671290287296,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.024157,"MultilabelClassification":0.18497581739130436,"Classification":0.5334342949752311,"Retrieval":0.6520793755846507,"Reranking":0.619920138888889,"STS":0.6904683724747475,"Clustering":0.4442453581937772,"PairClassification":0.7610549718614718,"BitextMining":0.5791828318884954},"scoresByTask":{"SemRel24STS":0.6266604166666666,"FinParaSTS":0.16054049999999997,"PolEmo2.0-OUT":0.212551,"JSICK":0.801397,"SwednClusteringP2P":0.3112895,"MalteseNewsClassification":0.248803,"CzechProductReviewSentimentClassification":0.505371,"STS13":0.824474,"IndicCrosslingualSTS":0.3717410833333334,"SprintDuplicateQuestions":0.956112,"WikipediaRerankingMultilingual":0.8624025,"EstonianValenceClassification":0.367726,"STS15":0.860791,"MLQARetrieval":0.6713002040816326,"HALClusteringS2S.v2":0.271412,"PoemSentimentClassification":0.49424900000000005,"BrazilianToxicTweetsClassification":0.19707,"StatcanDialogueDatasetRetrieval":0.588905,"STS17":0.7395561818181818,"NordicLangClassification":0.433233,"ArXivHierarchicalClusteringP2P":0.576638,"NusaTranslationBitextMining":0.5870662727272727,"MassiveIntentClassification":0.5037156176470589,"CLSClusteringP2P.v2":0.377912,"WikipediaRetrievalMultilingual":0.867591875,"SinhalaNewsClassification":0.717676,"StackExchangeClustering.v2":0.569098,"MasakhaNEWSClassification":0.7293218124999999,"NusaX-senti":0.6245833333333334,"CataloniaTweetClassification":0.46783375,"OpusparcusPC":0.9175130833333333,"ArmenianParaphrasePC":0.937409,"KorHateSpeechMLClassification":0.084732,"WikiClusteringP2P.v2":0.2666932142857143,"AmazonCounterfactualClassification":0.636602625,"ArXivHierarchicalClusteringS2S":0.562656,"NepaliNewsClassification":0.949707,"ArguAna":0.57113,"AILAStatutes":0.2985,"ToxicConversationsClassification":0.620117,"IndicGenBenchFloresBitextMining":0.7672775948275862,"CSFDSKMovieReviewSentimentClassification":0.272607,"SiswatiNewsClassification":0.4975,"CEDRClassification":0.353348,"TempReasonL1":0.1125,"BiorxivClusteringP2P.v2":0.404965,"NorwegianCourtsBitextMining":0.926901,"PunjabiNewsClassification":0.817834,"SpartQA":0.6463,"BUCC.v2":0.9740555,"BornholmBitextMining":0.352726,"BibleNLPBitextMining":0.08348457004830918,"SIB200ClusteringS2S":0.2877349543147208,"RTE3":0.86911225,"TERRa":0.540013,"SwahiliNewsClassification":0.578223,"DBpediaClassification":0.835498,"HagridRetrieval":0.98769,"MultiHateClassification":0.5833545454545455,"WikiCitiesClustering":0.738975,"Tatoeba":0.5573074285714286,"STS14":0.753747,"KurdishSentimentClassification":0.653749,"PpcPC":0.871406,"STSBenchmark":0.790764,"MasakhaNEWSClusteringS2S":0.4265700625,"MIRACLRetrievalHardNegatives":0.5981088888888889,"NTREXBitextMining":0.6825039316283925,"DalajClassification":0.496622,"SICK-R":0.707836,"NollySentiBitextMining":0.31714625,"SCIDOCS":0.21859,"BelebeleRetrieval":0.6649527925531914,"IsiZuluNewsClassification":0.218085,"TwitterHjerneRetrieval":0.6827,"STSB":0.7669645,"STSES":0.781307,"KorSarcasmClassification":0.548096,"WinoGrande":0.66613,"SentimentAnalysisHindi":0.515424,"RuBQReranking":0.7253,"CyrillicTurkicLangClassification":0.435107,"FilipinoShopeeReviewsClassification":0.2664305,"STS22.v2":0.7006622777777778,"RomaniBibleClustering":0.40215,"MacedonianTweetSentimentClassification":0.483494,"AfriSentiClassification":0.4078138333333334,"STS12":0.730653,"LegalBenchCorporateLobbying":0.92503,"TweetTopicSingleClassification":0.699291,"MultiEURLEXMultilabelClassification":0.04092608695652174,"T2Reranking":0.67312,"GreekLegalCodeClassification":0.271582,"SlovakMovieReviewSentimentClassification":0.631592,"FaroeseSTS":0.64749,"SwissJudgementClassification":0.5523736666666667,"TwitterURLCorpus":0.835373,"TRECCOVID":0.68435,"IndicLangClassification":0.29067,"GujaratiNewsClassification":0.824583,"ItaCaseholdClassification":0.554299,"FloresBitextMining":0.43430194856563314,"Robust04InstructionRetrieval":-0.049762,"BulgarianStoreReviewSentimentClassfication":0.600549,"OdiaNewsClassification":0.554679,"TswanaNewsClassification":0.285216,"PlscClusteringP2P.v2":0.712972,"FinancialPhrasebankClassification":0.696776,"News21InstructionRetrieval":-0.001904,"StackOverflowQA":0.86318,"Core17InstructionRetrieval":-0.020805,"WebLINXCandidatesReranking":0.10796833333333333,"PAC":0.65459,"VoyageMMarcoReranking":0.5884,"MedrxivClusteringP2P.v2":0.369781,"GermanSTSBenchmark":0.78291,"AlloprofReranking":0.76233,"AlloProfClusteringS2S.v2":0.457359,"ScalaClassification":0.500354,"indonli":0.490444,"IN22GenBitextMining":0.5557543181818182,"CovidRetrieval":0.73547,"BigPatentClustering.v2":0.37172,"PawsXPairClassification":0.5910711428571428,"NusaXBitextMining":0.5234420000000001,"NusaParagraphEmotionClassification":0.360907,"LEMBPasskeyRetrieval":0.955,"CTKFactsNLI":0.7368585000000001,"DiaBlaBitextMining":0.76741,"IndonesianIdClickbaitClassification":0.587688,"XNLI":0.6262927142857143},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SpartQA","StatcanDialogueDatasetRetrieval","TempReasonL1","WinoGrande"],"experiments":null},{"rank":75,"model":{"name":"codefuse-ai/F2LLM-v2-80M","url":"https://huggingface.co/codefuse-ai/F2LLM-v2-80M","zeroShotPct":88,"activeParamsB":0.032,"totalParamsB":0.08,"embeddingDim":320,"maxTokens":40960.0,"releaseDate":"2026-03-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Korean","Lao","Latin","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","North Azerbaijani","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Occitan (post 1500)","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","South Azerbaijani","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Waray (Philippines)","Welsh","c#-Code (Code)","c++-Code (Code)","c-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","rust-Code (Code)","sql-Code (Code)"],"citation":"\n@misc{f2llm-v2,\n title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n year={2026},\n eprint={2603.19223},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2603.19223},\n}","memoryUsageMb":305.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM-v2","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Aya","BQ","BactrianXLanguageClassification","BactrianXTranslation","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CEDR","CLIRMatrix","CMCQA","CMNLI","CNNDM","COIG","COLIEE","CORD19","CSL","CoLA","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCR","CosQA","DBPedia","DuReader","ELI5","ESCI","EmotionClassification","Europarl","FEVER","FEVERNL","FiQA2018","GooAQ","HealthCareMagic","HotpotQA","HotpotQANL","HuatuoEncQA","HuatuoKGQA","ImdbClassification","InfinityInstruct","KoAlpaca","KoAlpacaRealQA","KoMagpie","LCQMC","LCSTS","LLMRetrievalData","Lawzhidao","M2Lingual","MEDI2","MIRACLRetrieval","MKQA","MLDR","MLSUMClustering","MLSUMRetrieval","MMARCO","MNLI","MQA","MSMARCO","MSciNLI","MTOPDomainClassification","MTOPIntentClassification","MURI","MailruQA","MassiveIntentClassification","MassiveScenarioClassification","MedInstruct","MedMCQA","MedQA","MedQuAD","MedicalFlashcards","MedicalInstruction","MedicalQARu","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","MultiAlpaca","MultiCPRECom","MultiCPRMedical","NFCorpus","NQ","NaturalReasoning","NordicClassification","NordicRetrieval","NordicSTS","NordicTextMatching","OASST2","OCNLI","OpenCodeGeneticInstruct","OpenCodeReasoning2","OpenOrca","PAQ","PQuAD","ParSQuAD","ParaCrawl","PawsX","PersianQA","ProCQA","PubMedQA","QBQTC","QQP","RedditClustering","RedditClusteringP2P","RefGPT","RuInstruct","RuSentimentClustering","S2ORC","SIB200","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","SiberianDataset","SimCLUE","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","StackOverflowQA","SyntheticText2SQL","T2Ranking","THUCNews","TNews","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","UNPC","Waimai","WebFAQ","WikiOmnia","WildChat","XCodeEvalCodeToCode","XCodeEvalNLToCode","XCodeEvalTranslation","XNLI","XSum","YahooAnswers","cMedQAv2","webMedQA"]},"zeroShotPct":88,"activeParamsB":0.032,"totalParamsB":0.08,"embeddingDim":320,"maxTokens":40960,"meanTask":0.5523265515428364,"meanTaskType":0.4861714023761486,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.016239666666666666,"MultilabelClassification":0.2149734,"Classification":0.5554283885975003,"Retrieval":0.5014005551819822,"Reranking":0.5894965833333333,"STS":0.6855148959911617,"Clustering":0.476584264112355,"PairClassification":0.7497805616883116,"BitextMining":0.6186036391473604},"scoresByTask":{"SemRel24STS":0.5931774166666667,"FinParaSTS":0.1724835,"PolEmo2.0-OUT":0.393927,"JSICK":0.796968,"SwednClusteringP2P":0.42917950000000005,"MalteseNewsClassification":0.291511,"CzechProductReviewSentimentClassification":0.49873,"STS13":0.801997,"IndicCrosslingualSTS":0.1997243333333333,"SprintDuplicateQuestions":0.951046,"WikipediaRerankingMultilingual":0.83444,"EstonianValenceClassification":0.332274,"STS15":0.860763,"MLQARetrieval":0.6116840816326531,"HALClusteringS2S.v2":0.195246,"PoemSentimentClassification":0.570838,"BrazilianToxicTweetsClassification":0.19458,"StatcanDialogueDatasetRetrieval":0.16191250000000001,"STS17":0.7299973636363636,"NordicLangClassification":0.527133,"ArXivHierarchicalClusteringP2P":0.634236,"NusaTranslationBitextMining":0.7477340909090909,"MassiveIntentClassification":0.6613249509803921,"CLSClusteringP2P.v2":0.626289,"WikipediaRetrievalMultilingual":0.806944375,"SinhalaNewsClassification":0.591846,"StackExchangeClustering.v2":0.618853,"MasakhaNEWSClassification":0.6785964375,"NusaX-senti":0.6031041666666667,"CataloniaTweetClassification":0.4532035,"OpusparcusPC":0.9136175,"ArmenianParaphrasePC":0.906774,"KorHateSpeechMLClassification":0.072754,"WikiClusteringP2P.v2":0.25322335714285715,"AmazonCounterfactualClassification":0.842938,"ArXivHierarchicalClusteringS2S":0.583881,"NepaliNewsClassification":0.911719,"ArguAna":0.51437,"AILAStatutes":0.189915,"ToxicConversationsClassification":0.880566,"IndicGenBenchFloresBitextMining":0.8043291724137931,"CSFDSKMovieReviewSentimentClassification":0.260693,"SiswatiNewsClassification":0.5775,"CEDRClassification":0.485122,"TempReasonL1":0.01312,"BiorxivClusteringP2P.v2":0.49063,"NorwegianCourtsBitextMining":0.924708,"PunjabiNewsClassification":0.570064,"SpartQA":0.14999,"BUCC.v2":0.98036725,"BornholmBitextMining":0.413876,"BibleNLPBitextMining":0.11363663043478262,"SIB200ClusteringS2S":0.5367892436548223,"RTE3":0.85655025,"TERRa":0.527493,"SwahiliNewsClassification":0.556006,"DBpediaClassification":0.785303,"HagridRetrieval":0.98471,"MultiHateClassification":0.5553454545454546,"WikiCitiesClustering":0.741257,"Tatoeba":0.45919183035714284,"STS14":0.784945,"KurdishSentimentClassification":0.613337,"PpcPC":0.809404,"STSBenchmark":0.83632,"MasakhaNEWSClusteringS2S":0.397356125,"MIRACLRetrievalHardNegatives":0.4903911111111111,"NTREXBitextMining":0.6984096127348643,"DalajClassification":0.50045,"SICK-R":0.730558,"NollySentiBitextMining":0.43874375,"SCIDOCS":0.17299,"BelebeleRetrieval":0.5766729255319148,"IsiZuluNewsClassification":0.246809,"TwitterHjerneRetrieval":0.46683,"STSB":0.80194,"STSES":0.766936,"KorSarcasmClassification":0.532666,"WinoGrande":0.33664,"SentimentAnalysisHindi":0.593121,"RuBQReranking":0.64571,"CyrillicTurkicLangClassification":0.745557,"FilipinoShopeeReviewsClassification":0.338086,"STS22.v2":0.6505337222222223,"RomaniBibleClustering":0.405864,"MacedonianTweetSentimentClassification":0.435909,"AfriSentiClassification":0.3815955,"STS12":0.786856,"LegalBenchCorporateLobbying":0.92227,"TweetTopicSingleClassification":0.69368,"MultiEURLEXMultilabelClassification":0.0309,"T2Reranking":0.66602,"GreekLegalCodeClassification":0.0801025,"SlovakMovieReviewSentimentClassification":0.650635,"FaroeseSTS":0.67995,"SwissJudgementClassification":0.528684,"TwitterURLCorpus":0.84609,"TRECCOVID":0.54995,"IndicLangClassification":0.803623,"GujaratiNewsClassification":0.657967,"ItaCaseholdClassification":0.58009,"FloresBitextMining":0.5055548495363663,"Robust04InstructionRetrieval":-0.049949,"BulgarianStoreReviewSentimentClassfication":0.648352,"OdiaNewsClassification":0.613172,"TswanaNewsClassification":0.267556,"PlscClusteringP2P.v2":0.686494,"FinancialPhrasebankClassification":0.705345,"News21InstructionRetrieval":-0.005485,"StackOverflowQA":0.84226,"Core17InstructionRetrieval":0.006715,"WebLINXCandidatesReranking":0.1180195,"PAC":0.624471,"VoyageMMarcoReranking":0.60241,"MedrxivClusteringP2P.v2":0.434252,"GermanSTSBenchmark":0.775089,"AlloprofReranking":0.67038,"AlloProfClusteringS2S.v2":0.344952,"ScalaClassification":0.5020020000000001,"indonli":0.495665,"IN22GenBitextMining":0.5647413043478261,"CovidRetrieval":0.70206,"BigPatentClustering.v2":0.246846,"PawsXPairClassification":0.5402329285714286,"NusaXBitextMining":0.6099678181818182,"NusaParagraphEmotionClassification":0.3518312,"LEMBPasskeyRetrieval":0.5325,"CTKFactsNLI":0.720003,"DiaBlaBitextMining":0.780587,"IndonesianIdClickbaitClassification":0.537268,"XNLI":0.6807105},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":76,"model":{"name":"deepvk/USER-bge-m3","url":"https://huggingface.co/deepvk/USER-base","zeroShotPct":97,"activeParamsB":0.312,"totalParamsB":0.359,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-07-05","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":1370.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["BibleNLPBitextMining","MLSUMClusteringP2P","MLSUMClusteringP2P.v2","MLSUMClusteringS2S","MLSUMClusteringS2S.v2"]},"zeroShotPct":97,"activeParamsB":0.312,"totalParamsB":0.359,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.026510333333333334,"MultilabelClassification":0.18599462063484729,"Classification":0.5318957946075841,"Reranking":0.5153077656830568,"STS":0.5953106706123736},"scoresByTask":{"SemRel24STS":0.3143755833333333,"FinParaSTS":0.20504499999999998,"PolEmo2.0-OUT":0.5,"JSICK":0.264296,"SwednClusteringP2P":0.309212,"MalteseNewsClassification":0.216717,"CzechProductReviewSentimentClassification":0.599072,"STS13":0.838523,"IndicCrosslingualSTS":0.08529333333333333,"SprintDuplicateQuestions":0.97241,"WikipediaRerankingMultilingual":0.7788333125,"EstonianValenceClassification":0.421394,"STS15":0.889983,"MLQARetrieval":0.2844184693877551,"HALClusteringS2S.v2":0.248165,"PoemSentimentClassification":0.5991759999999999,"BrazilianToxicTweetsClassification":0.182666,"StatcanDialogueDatasetRetrieval":0.2033625,"STS17":0.5845140909090909,"NordicLangClassification":0.405333,"ArXivHierarchicalClusteringP2P":0.541321,"NusaTranslationBitextMining":0.7262184545454545,"MassiveIntentClassification":0.3368569705882353,"CLSClusteringP2P.v2":0.109629,"WikipediaRetrievalMultilingual":0.725034375,"SinhalaNewsClassification":0.376221,"StackExchangeClustering.v2":0.5192,"MasakhaNEWSClassification":0.7006429375,"NusaX-senti":0.6949791666666667,"CataloniaTweetClassification":0.47943925,"OpusparcusPC":0.9307617499999999,"ArmenianParaphrasePC":0.831121,"KorHateSpeechMLClassification":0.042121,"WikiClusteringP2P.v2":0.2656880714285714,"AmazonCounterfactualClassification":0.67443825,"ArXivHierarchicalClusteringS2S":0.506237,"NepaliNewsClassification":0.52168,"ArguAna":0.49951,"AILAStatutes":0.2669,"ToxicConversationsClassification":0.691943,"IndicGenBenchFloresBitextMining":0.10380987068965518,"CSFDSKMovieReviewSentimentClassification":0.364795,"SiswatiNewsClassification":0.60625,"CEDRClassification":0.45478214665249733,"TempReasonL1":0.00901,"BiorxivClusteringP2P.v2":0.350746,"NorwegianCourtsBitextMining":0.930556,"PunjabiNewsClassification":0.64586,"SpartQA":0.07582,"BornholmBitextMining":0.424397,"RTE3":0.8926784999999999,"TERRa":0.6506800747742694,"SwahiliNewsClassification":0.601709,"DBpediaClassification":0.891455,"HagridRetrieval":0.98769,"MultiHateClassification":0.6027545454545454,"WikiCitiesClustering":0.748871,"STS14":0.821097,"KurdishSentimentClassification":0.594363,"PpcPC":0.902572,"STSBenchmark":0.868518,"MasakhaNEWSClusteringS2S":0.3871046875,"MIRACLRetrievalHardNegatives":0.30494944444444444,"DalajClassification":0.497523,"SICK-R":0.810025,"NollySentiBitextMining":0.40428975,"SCIDOCS":0.16154,"IsiZuluNewsClassification":0.296676,"TwitterHjerneRetrieval":0.21387,"STSB":0.090928,"STSES":0.769232,"KorSarcasmClassification":0.52168,"WinoGrande":0.32792,"SentimentAnalysisHindi":0.366871,"RuBQReranking":0.7307652815983409,"CyrillicTurkicLangClassification":0.43251953125,"FilipinoShopeeReviewsClassification":0.3470215,"STS22.v2":0.6401532222222222,"RomaniBibleClustering":0.409126,"MacedonianTweetSentimentClassification":0.642318,"AfriSentiClassification":0.41732316666666663,"STS12":0.810964,"LegalBenchCorporateLobbying":0.90594,"TweetTopicSingleClassification":0.691376,"MultiEURLEXMultilabelClassification":0.033686956521739135,"T2Reranking":0.569737,"GreekLegalCodeClassification":0.045337,"SlovakMovieReviewSentimentClassification":0.808887,"FaroeseSTS":0.712514,"SwissJudgementClassification":0.539189,"TwitterURLCorpus":0.857092,"TRECCOVID":0.51016,"IndicLangClassification":0.131146,"GujaratiNewsClassification":0.460546,"ItaCaseholdClassification":0.649321,"Robust04InstructionRetrieval":-0.070656,"BulgarianStoreReviewSentimentClassfication":0.731319,"OdiaNewsClassification":0.601912,"TswanaNewsClassification":0.383984,"PlscClusteringP2P.v2":0.696989,"FinancialPhrasebankClassification":0.834806,"News21InstructionRetrieval":-0.009275,"StackOverflowQA":0.79292,"Core17InstructionRetrieval":0.0004,"WebLINXCandidatesReranking":0.098674,"PAC":0.675789,"VoyageMMarcoReranking":0.181332,"MedrxivClusteringP2P.v2":0.345243,"GermanSTSBenchmark":0.8195095,"AlloprofReranking":0.732505,"AlloProfClusteringS2S.v2":0.383264,"ScalaClassification":0.50351575,"indonli":0.581323,"IN22GenBitextMining":0.13144811067193676,"CovidRetrieval":0.00121,"BigPatentClustering.v2":0.288615,"PawsXPairClassification":0.5471025,"NusaXBitextMining":0.5648396363636364,"NusaParagraphEmotionClassification":0.39996109999999996,"LEMBPasskeyRetrieval":0.6075,"CTKFactsNLI":0.8167125,"DiaBlaBitextMining":0.805772,"IndonesianIdClickbaitClassification":0.584136},"scoresByCustomGroup":{},"trainedOnTasks":["BibleNLPBitextMining","MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":77,"model":{"name":"Snowflake/snowflake-arctic-embed-m-v2.0","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0","zeroShotPct":99,"activeParamsB":0.113,"totalParamsB":0.305,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-12-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","Somali","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{yu2024arctic,\n title={Arctic-Embed 2.0: Multilingual Retrieval Without Compromise},\n author={Yu, Puxuan and Merrick, Luke and Nuti, Gaurav and Campos, Daniel},\n journal={arXiv preprint arXiv:2412.04506},\n year={2024},\n eprint={2412.04506},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2412.04506}\n}","memoryUsageMb":1165.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-multilingual-base","supersededBy":null,"extraRequirementsGroups":["arctic-embed-m-v2"],"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.113,"totalParamsB":0.305,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.033352,"MultilabelClassification":0.17044351304347827,"Classification":0.5438374695213074,"Retrieval":0.5483483771218298,"Reranking":0.6167293784722222,"Clustering":0.4224423457017087,"PairClassification":0.7486020465367965,"BitextMining":0.5372911649469749},"scoresByTask":{"SemRel24STS":0.5891024166666666,"FinParaSTS":0.22919099999999998,"PolEmo2.0-OUT":0.290688,"JSICK":0.806935,"SwednClusteringP2P":0.271818,"MalteseNewsClassification":0.191685,"CzechProductReviewSentimentClassification":0.468164,"STS13":0.773886,"IndicCrosslingualSTS":0.30798949999999997,"SprintDuplicateQuestions":0.960056,"WikipediaRerankingMultilingual":0.8742659375,"EstonianValenceClassification":0.340587,"STS15":0.818161,"MLQARetrieval":0.623029081632653,"HALClusteringS2S.v2":0.254848,"PoemSentimentClassification":0.5076555,"BrazilianToxicTweetsClassification":0.220898,"StatcanDialogueDatasetRetrieval":0.21588999999999997,"NordicLangClassification":0.540467,"ArXivHierarchicalClusteringP2P":0.575366,"NusaTranslationBitextMining":0.6878937272727272,"MassiveIntentClassification":0.5330137450980392,"CLSClusteringP2P.v2":0.363589,"WikipediaRetrievalMultilingual":0.878250625,"SinhalaNewsClassification":0.706787,"StackExchangeClustering.v2":0.53989,"MasakhaNEWSClassification":0.6399915625,"NusaX-senti":0.6168333333333333,"CataloniaTweetClassification":0.482009,"OpusparcusPC":0.8851690833333333,"ArmenianParaphrasePC":0.935735,"KorHateSpeechMLClassification":0.054934,"WikiClusteringP2P.v2":0.2594882142857143,"AmazonCounterfactualClassification":0.63979225,"ArXivHierarchicalClusteringS2S":0.518794,"NepaliNewsClassification":0.916943,"ArguAna":0.57877,"AILAStatutes":0.28114,"ToxicConversationsClassification":0.648389,"IndicGenBenchFloresBitextMining":0.669936525862069,"CSFDSKMovieReviewSentimentClassification":0.250928,"SiswatiNewsClassification":0.5575,"CEDRClassification":0.343411,"TempReasonL1":0.00985,"BiorxivClusteringP2P.v2":0.381119,"NorwegianCourtsBitextMining":0.914474,"PunjabiNewsClassification":0.816561,"SpartQA":0.03746,"BUCC.v2":0.96191125,"BornholmBitextMining":0.435714,"BibleNLPBitextMining":0.06065508031400966,"SIB200ClusteringS2S":0.18656862944162436,"RTE3":0.86173875,"TERRa":0.518731,"SwahiliNewsClassification":0.57583,"DBpediaClassification":0.89292,"HagridRetrieval":0.98847,"MultiHateClassification":0.5779181818181818,"WikiCitiesClustering":0.810007,"Tatoeba":0.4081623660714286,"STS14":0.729113,"KurdishSentimentClassification":0.616004,"PpcPC":0.841334,"STSBenchmark":0.759802,"MasakhaNEWSClusteringS2S":0.3908906875,"MIRACLRetrievalHardNegatives":0.6147616666666667,"NTREXBitextMining":0.5644909624217118,"DalajClassification":0.499887,"SICK-R":0.712985,"NollySentiBitextMining":0.28226249999999997,"SCIDOCS":0.20321,"BelebeleRetrieval":0.6130694148936171,"IsiZuluNewsClassification":0.255319,"TwitterHjerneRetrieval":0.23334,"STSB":0.6898015,"STSES":0.802475,"KorSarcasmClassification":0.550049,"WinoGrande":0.66334,"SentimentAnalysisHindi":0.514592,"RuBQReranking":0.699125,"CyrillicTurkicLangClassification":0.607227,"FilipinoShopeeReviewsClassification":0.28959999999999997,"STS22.v2":0.6904341666666667,"RomaniBibleClustering":0.396341,"MacedonianTweetSentimentClassification":0.541879,"AfriSentiClassification":0.3977779166666667,"STS12":0.706481,"LegalBenchCorporateLobbying":0.93523,"TweetTopicSingleClassification":0.638512,"MultiEURLEXMultilabelClassification":0.04128956521739131,"T2Reranking":0.677812,"GreekLegalCodeClassification":0.224976,"SlovakMovieReviewSentimentClassification":0.61416,"FaroeseSTS":0.632482,"SwissJudgementClassification":0.5618299999999999,"TwitterURLCorpus":0.859584,"TRECCOVID":0.80342,"IndicLangClassification":0.543672,"GujaratiNewsClassification":0.787405,"ItaCaseholdClassification":0.713575,"FloresBitextMining":0.3402943430406646,"Robust04InstructionRetrieval":-0.075741,"BulgarianStoreReviewSentimentClassfication":0.429121,"OdiaNewsClassification":0.476137,"TswanaNewsClassification":0.280698,"PlscClusteringP2P.v2":0.707064,"FinancialPhrasebankClassification":0.730124,"News21InstructionRetrieval":-0.004708,"StackOverflowQA":0.90679,"Core17InstructionRetrieval":-0.019607,"WebLINXCandidatesReranking":0.09261533333333333,"PAC":0.659542,"VoyageMMarcoReranking":0.595377,"MedrxivClusteringP2P.v2":0.353642,"GermanSTSBenchmark":0.738767,"AlloprofReranking":0.761181,"AlloProfClusteringS2S.v2":0.438749,"ScalaClassification":0.5016115,"indonli":0.484427,"IN22GenBitextMining":0.4963843893280632,"CovidRetrieval":0.70425,"BigPatentClustering.v2":0.310903,"PawsXPairClassification":0.5432050714285714,"NusaXBitextMining":0.387584,"NusaParagraphEmotionClassification":0.3468002,"LEMBPasskeyRetrieval":0.58,"CTKFactsNLI":0.7149559999999999,"DiaBlaBitextMining":0.775022,"IndonesianIdClickbaitClassification":0.601535,"XNLI":0.6296866071428572},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":78,"model":{"name":"Omartificial-Intelligence-Space/Arabic-labse-Matryoshka","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabic-labse-Matryoshka","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.471,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-16","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":1796.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/LaBSE","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.471,"embeddingDim":768,"maxTokens":512,"meanTask":0.5364889015538352,"meanTaskType":0.47181884339402796,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.01772466666666667,"MultilabelClassification":0.19947434782608697,"Classification":0.5507958549071426,"Retrieval":0.36977813367259826,"Reranking":0.5159039895833334,"STS":0.7208889605467628,"Clustering":0.39592046016134885,"PairClassification":0.8080385541125541,"BitextMining":0.7032939564030916},"scoresByTask":{"SemRel24STS":0.64906,"FinParaSTS":0.2835655,"PolEmo2.0-OUT":0.377328,"JSICK":0.732819,"SwednClusteringP2P":0.294678,"MalteseNewsClassification":0.292643,"CzechProductReviewSentimentClassification":0.557715,"STS13":0.7954963868861197,"IndicCrosslingualSTS":0.55515475,"SprintDuplicateQuestions":0.901768,"WikipediaRerankingMultilingual":0.8324249375,"EstonianValenceClassification":0.42824,"STS15":0.8560821849381648,"MLQARetrieval":0.5808177551020408,"HALClusteringS2S.v2":0.216944,"PoemSentimentClassification":0.5335395,"BrazilianToxicTweetsClassification":0.186914,"StatcanDialogueDatasetRetrieval":0.06857,"STS17":0.7983951818181818,"NordicLangClassification":0.335867,"ArXivHierarchicalClusteringP2P":0.52145,"NusaTranslationBitextMining":0.7032729090909091,"MassiveIntentClassification":0.5866345784313726,"CLSClusteringP2P.v2":0.378234,"WikipediaRetrievalMultilingual":0.744050625,"SinhalaNewsClassification":0.683691,"StackExchangeClustering.v2":0.473132,"MasakhaNEWSClassification":0.730973375,"NusaX-senti":0.6548541666666666,"CataloniaTweetClassification":0.4436715,"OpusparcusPC":0.9464151666666667,"ArmenianParaphrasePC":0.960324,"KorHateSpeechMLClassification":0.0784,"WikiClusteringP2P.v2":0.2685464285714286,"AmazonCounterfactualClassification":0.7244965,"ArXivHierarchicalClusteringS2S":0.495583,"NepaliNewsClassification":0.914111,"ArguAna":0.41699,"AILAStatutes":0.20247,"ToxicConversationsClassification":0.665918,"IndicGenBenchFloresBitextMining":0.8907885086206897,"CSFDSKMovieReviewSentimentClassification":0.299658,"SiswatiNewsClassification":0.555,"CEDRClassification":0.400053,"TempReasonL1":0.01443,"BiorxivClusteringP2P.v2":0.318139,"NorwegianCourtsBitextMining":0.91886,"PunjabiNewsClassification":0.761146,"SpartQA":0.03231,"BUCC.v2":0.9847785,"BornholmBitextMining":0.38591,"BibleNLPBitextMining":0.12456687137681159,"SIB200ClusteringS2S":0.25920493401015227,"RTE3":0.88406275,"TERRa":0.618473,"SwahiliNewsClassification":0.570947,"DBpediaClassification":0.844922,"HagridRetrieval":0.96551,"MultiHateClassification":0.5930090909090908,"WikiCitiesClustering":0.541304,"Tatoeba":0.7628335803571428,"STS14":0.7884601702652395,"KurdishSentimentClassification":0.578561,"PpcPC":0.924076,"STSBenchmark":0.8204996129795596,"MasakhaNEWSClusteringS2S":0.416503,"MIRACLRetrievalHardNegatives":0.2352761111111111,"NTREXBitextMining":0.8560843183716075,"DalajClassification":0.49786,"SICK-R":0.7703286420274621,"NollySentiBitextMining":0.68000875,"SCIDOCS":0.09626,"BelebeleRetrieval":0.6248619148936171,"IsiZuluNewsClassification":0.297739,"TwitterHjerneRetrieval":0.27903,"STSB":0.785123,"STSES":0.73136,"KorSarcasmClassification":0.568604,"WinoGrande":0.37632,"SentimentAnalysisHindi":0.614641,"RuBQReranking":0.587018,"CyrillicTurkicLangClassification":0.341846,"FilipinoShopeeReviewsClassification":0.3313475,"STS22.v2":0.6448927222222223,"RomaniBibleClustering":0.398228,"MacedonianTweetSentimentClassification":0.590869,"AfriSentiClassification":0.46752658333333336,"STS12":0.7921432176112556,"LegalBenchCorporateLobbying":0.81143,"TweetTopicSingleClassification":0.609628,"MultiEURLEXMultilabelClassification":0.03936173913043478,"T2Reranking":0.65403,"GreekLegalCodeClassification":0.1896485,"SlovakMovieReviewSentimentClassification":0.648877,"FaroeseSTS":0.729274,"SwissJudgementClassification":0.5332796666666667,"TwitterURLCorpus":0.851038,"TRECCOVID":0.27311,"IndicLangClassification":0.165507,"GujaratiNewsClassification":0.75569,"ItaCaseholdClassification":0.564253,"FloresBitextMining":0.6132878511542549,"Robust04InstructionRetrieval":-0.071328,"BulgarianStoreReviewSentimentClassfication":0.624176,"OdiaNewsClassification":0.721566,"TswanaNewsClassification":0.405133,"PlscClusteringP2P.v2":0.711069,"FinancialPhrasebankClassification":0.798366,"News21InstructionRetrieval":-0.000158,"StackOverflowQA":0.33733,"Core17InstructionRetrieval":0.018312,"WebLINXCandidatesReranking":0.08247600000000001,"PAC":0.658297,"VoyageMMarcoReranking":0.379366,"MedrxivClusteringP2P.v2":0.331463,"GermanSTSBenchmark":0.801569,"AlloprofReranking":0.560109,"AlloProfClusteringS2S.v2":0.353017,"ScalaClassification":0.501123,"indonli":0.591864,"IN22GenBitextMining":0.6804445079051383,"CovidRetrieval":0.34224,"BigPatentClustering.v2":0.357232,"PawsXPairClassification":0.5423213571428571,"NusaXBitextMining":0.6832186363636363,"NusaParagraphEmotionClassification":0.38385379999999997,"LEMBPasskeyRetrieval":0.255,"CTKFactsNLI":0.841646,"DiaBlaBitextMining":0.858767,"IndonesianIdClickbaitClassification":0.574108,"XNLI":0.8264358214285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":79,"model":{"name":"Cohere/Cohere-embed-english-v3.0","url":"https://cohere.com/blog/introducing-embed-v3","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-11-02","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0016973333333333328,"MultilabelClassification":0.17192961739130436,"Classification":0.5031046324819675,"Retrieval":0.45407982020231263,"Reranking":0.5067984270833333,"Clustering":0.4232034901706399,"PairClassification":0.7406540207402554,"BitextMining":0.3138580426583025},"scoresByTask":{"SemRel24STS":0.39991249999999995,"FinParaSTS":0.1615395,"PolEmo2.0-OUT":0.268219,"JSICK":0.684049,"SwednClusteringP2P":0.3029035,"MalteseNewsClassification":0.248542,"CzechProductReviewSentimentClassification":0.453516,"STS13":0.8520181466598035,"IndicCrosslingualSTS":0.02799533333333333,"SprintDuplicateQuestions":0.9624594126679709,"WikipediaRerankingMultilingual":0.7692875625,"EstonianValenceClassification":0.312592,"STS15":0.8922666720704161,"MLQARetrieval":0.27407938775510204,"HALClusteringS2S.v2":0.249005,"PoemSentimentClassification":0.545925,"BrazilianToxicTweetsClassification":0.192969,"StatcanDialogueDatasetRetrieval":0.23500000000000001,"NordicLangClassification":0.582033,"ArXivHierarchicalClusteringP2P":0.624076,"NusaTranslationBitextMining":0.6945585454545454,"MassiveIntentClassification":0.32501297058823525,"CLSClusteringP2P.v2":0.185814,"WikipediaRetrievalMultilingual":0.64916125,"SinhalaNewsClassification":0.348975,"StackExchangeClustering.v2":0.605585,"MasakhaNEWSClassification":0.6558406875,"NusaX-senti":0.6005833333333334,"CataloniaTweetClassification":0.4866325,"OpusparcusPC":0.8860049999999999,"ArmenianParaphrasePC":0.8785,"KorHateSpeechMLClassification":0.033579,"WikiClusteringP2P.v2":0.2580361428571428,"AmazonCounterfactualClassification":0.673393875,"ArXivHierarchicalClusteringS2S":0.579659,"NepaliNewsClassification":0.580176,"ArguAna":0.61521,"AILAStatutes":0.26381,"ToxicConversationsClassification":0.7261299999999999,"IndicGenBenchFloresBitextMining":0.06658656896551723,"CSFDSKMovieReviewSentimentClassification":0.23999,"SiswatiNewsClassification":0.5775,"CEDRClassification":0.355632,"TempReasonL1":0.01507,"BiorxivClusteringP2P.v2":0.437402,"NorwegianCourtsBitextMining":0.895468,"PunjabiNewsClassification":0.626115,"SpartQA":0.03743,"BUCC.v2":0.34564625000000004,"BornholmBitextMining":0.408492,"BibleNLPBitextMining":0.02710338768115942,"SIB200ClusteringS2S":0.12030532487309645,"RTE3":0.8627575,"TERRa":0.476833,"SwahiliNewsClassification":0.535547,"DBpediaClassification":0.92168,"HagridRetrieval":0.98694,"MultiHateClassification":0.5564363636363636,"WikiCitiesClustering":0.81597,"Tatoeba":0.11297703571428572,"STS14":0.8097859876561874,"KurdishSentimentClassification":0.579316,"PpcPC":0.847398,"STSBenchmark":0.8854881886307971,"MasakhaNEWSClusteringS2S":0.400968875,"MIRACLRetrievalHardNegatives":0.23155333333333333,"NTREXBitextMining":0.2656955991649269,"DalajClassification":0.500788,"SICK-R":0.8127177640994141,"NollySentiBitextMining":0.29873075,"SCIDOCS":0.20314,"BelebeleRetrieval":0.3539927925531915,"IsiZuluNewsClassification":0.256516,"TwitterHjerneRetrieval":0.41637,"STSB":0.4342435,"STSES":0.755994,"KorSarcasmClassification":0.527588,"WinoGrande":0.57935,"SentimentAnalysisHindi":0.399234,"RuBQReranking":0.513066,"CyrillicTurkicLangClassification":0.62417,"FilipinoShopeeReviewsClassification":0.331128,"STS22.v2":0.6017488888888889,"RomaniBibleClustering":0.379285,"MacedonianTweetSentimentClassification":0.406146,"AfriSentiClassification":0.40656391666666664,"STS12":0.7437099514810371,"LegalBenchCorporateLobbying":0.93642,"TweetTopicSingleClassification":0.686119,"MultiEURLEXMultilabelClassification":0.02892608695652174,"T2Reranking":0.628422,"GreekLegalCodeClassification":0.0753175,"SlovakMovieReviewSentimentClassification":0.588232,"FaroeseSTS":0.68031,"SwissJudgementClassification":0.543154,"TwitterURLCorpus":0.8646378511891255,"TRECCOVID":0.81919,"IndicLangClassification":0.495894,"GujaratiNewsClassification":0.41563,"ItaCaseholdClassification":0.669683,"FloresBitextMining":0.18531125156959335,"Robust04InstructionRetrieval":-0.034913,"BulgarianStoreReviewSentimentClassfication":0.426374,"OdiaNewsClassification":0.544586,"TswanaNewsClassification":0.268789,"PlscClusteringP2P.v2":0.683727,"FinancialPhrasebankClassification":0.816784,"News21InstructionRetrieval":0.002986,"StackOverflowQA":0.89352,"Core17InstructionRetrieval":0.026835,"WebLINXCandidatesReranking":0.084412,"PAC":0.691167,"VoyageMMarcoReranking":0.362989,"MedrxivClusteringP2P.v2":0.399723,"GermanSTSBenchmark":0.7095745,"AlloprofReranking":0.682614,"AlloProfClusteringS2S.v2":0.359737,"ScalaClassification":0.50008525,"indonli":0.480409,"IN22GenBitextMining":0.08182389328063241,"CovidRetrieval":0.2782,"BigPatentClustering.v2":0.369059,"PawsXPairClassification":0.5349203571428571,"NusaXBitextMining":0.3196202727272727,"NusaParagraphEmotionClassification":0.2987478,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7292795000000001,"DiaBlaBitextMining":0.378141,"IndonesianIdClickbaitClassification":0.565189,"XNLI":0.6239946071428571},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":80,"model":{"name":"omarelshehy/arabic-english-sts-matryoshka","url":"https://huggingface.co/omarelshehy/arabic-english-sts-matryoshka","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-10-13","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","English"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":2136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.013800333333333333,"MultilabelClassification":0.19318403478260868,"Classification":0.566709409181072,"Retrieval":0.31724809972767676,"Reranking":0.48313436111111113,"Clustering":0.4022241199351886,"PairClassification":0.8335210108225108,"BitextMining":0.6088618266137285},"scoresByTask":{"SemRel24STS":0.5885230833333334,"FinParaSTS":0.2512725,"PolEmo2.0-OUT":0.524494,"JSICK":0.673614,"SwednClusteringP2P":0.3011735,"MalteseNewsClassification":0.24471,"CzechProductReviewSentimentClassification":0.564258,"STS13":0.820074,"IndicCrosslingualSTS":0.5040478333333334,"SprintDuplicateQuestions":0.819392,"WikipediaRerankingMultilingual":0.7959485,"EstonianValenceClassification":0.449511,"STS15":0.855924,"MLQARetrieval":0.5263552040816327,"HALClusteringS2S.v2":0.239225,"PoemSentimentClassification":0.489986,"BrazilianToxicTweetsClassification":0.178223,"StatcanDialogueDatasetRetrieval":0.09523,"NordicLangClassification":0.375067,"ArXivHierarchicalClusteringP2P":0.525282,"NusaTranslationBitextMining":0.5934344545454545,"MassiveIntentClassification":0.5910321470588236,"CLSClusteringP2P.v2":0.383742,"WikipediaRetrievalMultilingual":0.62436375,"SinhalaNewsClassification":0.700244,"StackExchangeClustering.v2":0.480493,"MasakhaNEWSClassification":0.691875375,"NusaX-senti":0.6664375,"CataloniaTweetClassification":0.43942424999999996,"OpusparcusPC":0.9472080833333334,"ArmenianParaphrasePC":0.96866,"KorHateSpeechMLClassification":0.074865,"WikiClusteringP2P.v2":0.25859478571428574,"AmazonCounterfactualClassification":0.693604,"ArXivHierarchicalClusteringS2S":0.50487,"NepaliNewsClassification":0.925684,"ArguAna":0.2325,"AILAStatutes":0.21739,"ToxicConversationsClassification":0.674707,"IndicGenBenchFloresBitextMining":0.8243518534482759,"CSFDSKMovieReviewSentimentClassification":0.358252,"SiswatiNewsClassification":0.73625,"CEDRClassification":0.42423,"TempReasonL1":0.00382,"BiorxivClusteringP2P.v2":0.320096,"NorwegianCourtsBitextMining":0.915205,"PunjabiNewsClassification":0.753503,"SpartQA":0.00745,"BUCC.v2":0.9725655,"BornholmBitextMining":0.312838,"BibleNLPBitextMining":0.0856663466183575,"SIB200ClusteringS2S":0.27789588324873093,"RTE3":0.90055,"TERRa":0.6834,"SwahiliNewsClassification":0.588818,"DBpediaClassification":0.877588,"HagridRetrieval":0.87919,"MultiHateClassification":0.6214272727272727,"WikiCitiesClustering":0.582691,"Tatoeba":0.6426246785714286,"STS14":0.793489,"KurdishSentimentClassification":0.603724,"PpcPC":0.949791,"STSBenchmark":0.840891,"MasakhaNEWSClusteringS2S":0.37795475,"MIRACLRetrievalHardNegatives":0.1228238888888889,"NTREXBitextMining":0.7280772447807933,"DalajClassification":0.503041,"SICK-R":0.779915,"NollySentiBitextMining":0.31283325,"SCIDOCS":0.06284,"BelebeleRetrieval":0.5327529521276596,"IsiZuluNewsClassification":0.235638,"TwitterHjerneRetrieval":0.17373,"STSB":0.8159925,"STSES":0.677446,"KorSarcasmClassification":0.569531,"WinoGrande":0.28725,"SentimentAnalysisHindi":0.615159,"RuBQReranking":0.542633,"CyrillicTurkicLangClassification":0.392529,"FilipinoShopeeReviewsClassification":0.3468995,"STS22.v2":0.6705620555555556,"RomaniBibleClustering":0.39234,"MacedonianTweetSentimentClassification":0.602634,"AfriSentiClassification":0.45359025,"STS12":0.788377,"LegalBenchCorporateLobbying":0.79603,"TweetTopicSingleClassification":0.648848,"MultiEURLEXMultilabelClassification":0.043892173913043474,"T2Reranking":0.647111,"GreekLegalCodeClassification":0.331787,"SlovakMovieReviewSentimentClassification":0.779932,"FaroeseSTS":0.705322,"SwissJudgementClassification":0.539439,"TwitterURLCorpus":0.829793,"TRECCOVID":0.22262,"IndicLangClassification":0.168433,"GujaratiNewsClassification":0.777011,"ItaCaseholdClassification":0.531674,"FloresBitextMining":0.47175304054380374,"Robust04InstructionRetrieval":-0.015752,"BulgarianStoreReviewSentimentClassfication":0.634066,"OdiaNewsClassification":0.776499,"TswanaNewsClassification":0.225051,"PlscClusteringP2P.v2":0.741802,"FinancialPhrasebankClassification":0.794214,"News21InstructionRetrieval":-0.008835,"StackOverflowQA":0.25085,"Core17InstructionRetrieval":0.065988,"WebLINXCandidatesReranking":0.08145666666666666,"PAC":0.63093,"VoyageMMarcoReranking":0.321726,"MedrxivClusteringP2P.v2":0.320355,"GermanSTSBenchmark":0.8252345,"AlloprofReranking":0.509931,"AlloProfClusteringS2S.v2":0.395046,"ScalaClassification":0.5049805,"indonli":0.664644,"IN22GenBitextMining":0.6444901956521739,"CovidRetrieval":0.36527,"BigPatentClustering.v2":0.334025,"PawsXPairClassification":0.6152572142857142,"NusaXBitextMining":0.6004501818181818,"NusaParagraphEmotionClassification":0.4294448,"LEMBPasskeyRetrieval":0.31,"CTKFactsNLI":0.899346,"DiaBlaBitextMining":0.810914,"IndonesianIdClickbaitClassification":0.551287,"XNLI":0.8906898214285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":81,"model":{"name":"NovaSearch/stella_en_400M_v5","url":"https://huggingface.co/NovaSearch/stella_en_400M_v5","zeroShotPct":90,"activeParamsB":null,"totalParamsB":0.435,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2024-07-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{zhang2025jasperstelladistillationsota,\n title={Jasper and Stella: distillation of SOTA embedding models},\n author={Dun Zhang and Jiacheng Li and Ziyang Zeng and Fulong Wang},\n year={2025},\n eprint={2412.19048},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2412.19048},\n}","memoryUsageMb":1660.0,"license":"mit","publicTrainingCode":"https://github.com/NovaSearch-Team/RAG-Retrieval/blob/c40f4638b705eb77d88305d2056901ed550f9f4b/rag_retrieval/train/embedding/README.md","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":null,"totalParamsB":0.435,"embeddingDim":4096,"maxTokens":8192,"meanTask":0.4832313299612919,"meanTaskType":0.42106449226583503,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.006954333333333334,"MultilabelClassification":0.18220857942601,"Classification":0.4919796549507807,"Retrieval":0.42578089462449675,"Reranking":0.46486617148791165,"STS":0.6322958410163001,"Clustering":0.46195540507304167,"PairClassification":0.7450503637986358,"BitextMining":0.3923978533486725},"scoresByTask":{"SemRel24STS":0.4019127189502412,"FinParaSTS":0.15533759032122146,"PolEmo2.0-OUT":0.26842105263157895,"JSICK":0.5812561548806204,"SwednClusteringP2P":0.3205965281811596,"MalteseNewsClassification":0.2459730082716587,"CzechProductReviewSentimentClassification":0.44130859375,"STS13":0.8863998125652698,"IndicCrosslingualSTS":0.06726973228853077,"SprintDuplicateQuestions":0.956075961598125,"WikipediaRerankingMultilingual":0.7548675264550264,"EstonianValenceClassification":0.2997555012224939,"STS15":0.9022928378885277,"MLQARetrieval":0.2744561224489796,"HALClusteringS2S.v2":0.24334929515258086,"PoemSentimentClassification":0.5775228937728937,"BrazilianToxicTweetsClassification":0.232421875,"StatcanDialogueDatasetRetrieval":0.4196475,"STS17":0.5712350981367403,"NordicLangClassification":0.4914666666666666,"ArXivHierarchicalClusteringP2P":0.6392483709906334,"NusaTranslationBitextMining":0.6975376543337282,"MassiveIntentClassification":0.2630365029533239,"CLSClusteringP2P.v2":0.2647037819493522,"WikipediaRetrievalMultilingual":0.555495625,"SinhalaNewsClassification":0.394189453125,"StackExchangeClustering.v2":0.7757900851574056,"MasakhaNEWSClassification":0.6512046772495622,"NusaX-senti":0.5843958333333333,"CataloniaTweetClassification":0.4918124940478395,"OpusparcusPC":0.8889128271152297,"ArmenianParaphrasePC":0.897193448810461,"KorHateSpeechMLClassification":0.06764850270004909,"WikiClusteringP2P.v2":0.26539169959026726,"AmazonCounterfactualClassification":0.7414066816397549,"ArXivHierarchicalClusteringS2S":0.6081704622679586,"NepaliNewsClassification":0.523046875,"ArguAna":0.609,"AILAStatutes":0.31608,"ToxicConversationsClassification":0.839697265625,"IndicGenBenchFloresBitextMining":0.10088011030738349,"CSFDSKMovieReviewSentimentClassification":0.237451171875,"SiswatiNewsClassification":0.45125000000000004,"CEDRClassification":0.33405951115834215,"TempReasonL1":0.00951,"BiorxivClusteringP2P.v2":0.541196547218052,"NorwegianCourtsBitextMining":0.8910818713450293,"PunjabiNewsClassification":0.5949044585987262,"SpartQA":0.04082,"BUCC.v2":0.577056072355872,"BornholmBitextMining":0.4500492063492063,"BibleNLPBitextMining":0.05518317172674023,"SIB200ClusteringS2S":0.13203103747896314,"RTE3":0.871501115423084,"TERRa":0.4850687733499515,"SwahiliNewsClassification":0.55625,"DBpediaClassification":0.908984375,"HagridRetrieval":0.984,"MultiHateClassification":0.5461818181818182,"WikiCitiesClustering":0.8884868793238737,"Tatoeba":0.19980019179540934,"STS14":0.847722847346502,"KurdishSentimentClassification":0.6263714141922495,"PpcPC":0.819670840515333,"STSBenchmark":0.8763996146760704,"MasakhaNEWSClusteringS2S":0.3871449562428137,"MIRACLRetrievalHardNegatives":0.10086611111111111,"NTREXBitextMining":0.35223315441903863,"DalajClassification":0.49808558558558563,"SICK-R":0.814748469518998,"NollySentiBitextMining":0.32523891953045364,"SCIDOCS":0.23224,"BelebeleRetrieval":0.36112074468085104,"IsiZuluNewsClassification":0.22114361702127655,"TwitterHjerneRetrieval":0.27671,"STSB":0.4460396720051284,"STSES":0.7684757660305823,"KorSarcasmClassification":0.54765625,"WinoGrande":0.40828,"SentimentAnalysisHindi":0.4390504994014181,"RuBQReranking":0.3965020561813707,"CyrillicTurkicLangClassification":0.486572265625,"FilipinoShopeeReviewsClassification":0.2875244140625,"STS22.v2":0.6200259991253527,"RomaniBibleClustering":0.3818011880888459,"MacedonianTweetSentimentClassification":0.3464442493415276,"AfriSentiClassification":0.4036111258292249,"STS12":0.8133552823557412,"LegalBenchCorporateLobbying":0.93586,"TweetTopicSingleClassification":0.6977554636739516,"MultiEURLEXMultilabelClassification":0.030940000000000002,"T2Reranking":0.5873697992352499,"GreekLegalCodeClassification":0.0832275390625,"SlovakMovieReviewSentimentClassification":0.57705078125,"FaroeseSTS":0.6341164396990034,"SwissJudgementClassification":0.5442718756414203,"TwitterURLCorpus":0.8570698982748501,"TRECCOVID":0.76648,"IndicLangClassification":0.4086429088039976,"GujaratiNewsClassification":0.4600910470409712,"ItaCaseholdClassification":0.6882352941176471,"FloresBitextMining":0.2593639651557765,"Robust04InstructionRetrieval":-0.052493,"BulgarianStoreReviewSentimentClassfication":0.3626373626373626,"OdiaNewsClassification":0.5598423978271503,"TswanaNewsClassification":0.30739219712525667,"PlscClusteringP2P.v2":0.6797400052868933,"FinancialPhrasebankClassification":0.7566696113074205,"News21InstructionRetrieval":0.016342,"StackOverflowQA":0.85492,"Core17InstructionRetrieval":0.015288,"WebLINXCandidatesReranking":0.07912145330659885,"PAC":0.6313350709527947,"VoyageMMarcoReranking":0.26282614109794966,"MedrxivClusteringP2P.v2":0.49585183072117767,"GermanSTSBenchmark":0.7301454204722709,"AlloprofReranking":0.7085100526512748,"AlloProfClusteringS2S.v2":0.42171193342654256,"ScalaClassification":0.50111083984375,"indonli":0.48623920389605035,"IN22GenBitextMining":0.1066991250497489,"CovidRetrieval":0.15857,"BigPatentClustering.v2":0.34607188009214707,"PawsXPairClassification":0.5790271498093629,"NusaXBitextMining":0.4004126437338121,"NusaParagraphEmotionClassification":0.281718386312593,"LEMBPasskeyRetrieval":0.36,"CTKFactsNLI":0.7230105655683896,"DiaBlaBitextMining":0.6856360074305446,"IndonesianIdClickbaitClassification":0.5763986515549843,"XNLI":0.6317842174241554},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":82,"model":{"name":"ibm-granite/granite-embedding-278m-multilingual","url":"https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual","zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-12-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic (Latin)","Chinese","Chinese (Traditional)","Czech","Dutch","English","French","German","Italian","Japanese (Latin)","Korean (Latin)","Portuguese","Spanish"],"citation":"@article{awasthy2025graniteembedding,\n title={Granite Embedding Models},\n author={Awasthy, Parul and Trivedi, Aashka and Li, Yulong and Bornea, Mihaela and Cox, David and Daniels, Abraham and Franz, Martin and Goodhart, Gabe and Iyer, Bhavani and Kumar, Vishwajeet and Lastras, Luis and McCarley, Scott and Murthy, Rudra and P, Vignesh and Rosenthal, Sara and Roukos, Salim and Sen, Jaydeep and Sharma, Sukriti and Sil, Avirup and Soule, Kate and Sultan, Arafat and Florian, Radu},\n journal={arXiv preprint arXiv:2502.20204},\n year={2025}\n}","memoryUsageMb":530.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.017737333333333338,"MultilabelClassification":0.17669290434782609,"Classification":0.5409152906007753,"Retrieval":0.5219717090915366,"Reranking":0.5989301979166667,"Clustering":0.41405117702479144,"PairClassification":0.7571427911255412,"BitextMining":0.5847780166720141},"scoresByTask":{"SemRel24STS":0.6141298333333333,"FinParaSTS":0.1262055,"PolEmo2.0-OUT":0.167206,"JSICK":0.771764,"SwednClusteringP2P":0.319708,"MalteseNewsClassification":0.228124,"CzechProductReviewSentimentClassification":0.481006,"STS13":0.773053,"IndicCrosslingualSTS":0.34516349999999996,"SprintDuplicateQuestions":0.935084,"WikipediaRerankingMultilingual":0.8549066875,"EstonianValenceClassification":0.348533,"STS15":0.860174,"MLQARetrieval":0.6298780612244899,"HALClusteringS2S.v2":0.226243,"PoemSentimentClassification":0.46459249999999996,"BrazilianToxicTweetsClassification":0.18252,"StatcanDialogueDatasetRetrieval":0.3014,"NordicLangClassification":0.419033,"ArXivHierarchicalClusteringP2P":0.547465,"NusaTranslationBitextMining":0.5951930909090909,"MassiveIntentClassification":0.503351,"CLSClusteringP2P.v2":0.386857,"WikipediaRetrievalMultilingual":0.850581875,"SinhalaNewsClassification":0.750732,"StackExchangeClustering.v2":0.532453,"MasakhaNEWSClassification":0.7100250625,"NusaX-senti":0.5936041666666666,"CataloniaTweetClassification":0.46963175,"OpusparcusPC":0.9123376666666667,"ArmenianParaphrasePC":0.944085,"KorHateSpeechMLClassification":0.088071,"WikiClusteringP2P.v2":0.26746235714285715,"AmazonCounterfactualClassification":0.71300775,"ArXivHierarchicalClusteringS2S":0.540382,"NepaliNewsClassification":0.951709,"ArguAna":0.55244,"AILAStatutes":0.26081,"ToxicConversationsClassification":0.624805,"IndicGenBenchFloresBitextMining":0.7921467672413793,"CSFDSKMovieReviewSentimentClassification":0.247266,"SiswatiNewsClassification":0.5175,"CEDRClassification":0.344633,"TempReasonL1":0.00892,"BiorxivClusteringP2P.v2":0.385069,"NorwegianCourtsBitextMining":0.926901,"PunjabiNewsClassification":0.834395,"SpartQA":0.10924,"BUCC.v2":0.98113525,"BornholmBitextMining":0.405438,"BibleNLPBitextMining":0.08288825422705313,"SIB200ClusteringS2S":0.2618633502538071,"RTE3":0.86700975,"TERRa":0.562551,"SwahiliNewsClassification":0.602539,"DBpediaClassification":0.884277,"HagridRetrieval":0.9862,"MultiHateClassification":0.5876,"WikiCitiesClustering":0.662064,"Tatoeba":0.5689559553571428,"STS14":0.749479,"KurdishSentimentClassification":0.600101,"PpcPC":0.835082,"STSBenchmark":0.784076,"MasakhaNEWSClusteringS2S":0.417428125,"MIRACLRetrievalHardNegatives":0.5944894444444445,"NTREXBitextMining":0.6590276205636743,"DalajClassification":0.499212,"SICK-R":0.687448,"NollySentiBitextMining":0.35831125,"SCIDOCS":0.17721,"BelebeleRetrieval":0.6219613829787234,"IsiZuluNewsClassification":0.227128,"TwitterHjerneRetrieval":0.34977,"STSB":0.748993,"STSES":0.779259,"KorSarcasmClassification":0.540771,"WinoGrande":0.60376,"SentimentAnalysisHindi":0.511137,"RuBQReranking":0.681953,"CyrillicTurkicLangClassification":0.512402,"FilipinoShopeeReviewsClassification":0.2775145,"STS22.v2":0.6785498888888889,"RomaniBibleClustering":0.395346,"MacedonianTweetSentimentClassification":0.534328,"AfriSentiClassification":0.4046595,"STS12":0.751911,"LegalBenchCorporateLobbying":0.91316,"TweetTopicSingleClassification":0.696751,"MultiEURLEXMultilabelClassification":0.04011652173913043,"T2Reranking":0.669801,"GreekLegalCodeClassification":0.2887455,"SlovakMovieReviewSentimentClassification":0.601074,"FaroeseSTS":0.636052,"SwissJudgementClassification":0.5385676666666667,"TwitterURLCorpus":0.861545,"TRECCOVID":0.68573,"IndicLangClassification":0.270521,"GujaratiNewsClassification":0.82959,"ItaCaseholdClassification":0.71991,"FloresBitextMining":0.4113208742876461,"Robust04InstructionRetrieval":-0.066656,"BulgarianStoreReviewSentimentClassfication":0.503297,"OdiaNewsClassification":0.7872,"TswanaNewsClassification":0.245585,"PlscClusteringP2P.v2":0.707084,"FinancialPhrasebankClassification":0.714178,"News21InstructionRetrieval":0.009166,"StackOverflowQA":0.7845,"Core17InstructionRetrieval":0.004278,"WebLINXCandidatesReranking":0.08921250000000001,"PAC":0.675731,"VoyageMMarcoReranking":0.563562,"MedrxivClusteringP2P.v2":0.354313,"GermanSTSBenchmark":0.7900320000000001,"AlloprofReranking":0.734146,"AlloProfClusteringS2S.v2":0.32115,"ScalaClassification":0.5016605,"indonli":0.495405,"IN22GenBitextMining":0.5436345177865612,"CovidRetrieval":0.58044,"BigPatentClustering.v2":0.299931,"PawsXPairClassification":0.5521250714285715,"NusaXBitextMining":0.4450346363636364,"NusaParagraphEmotionClassification":0.3277176,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7186765,"DiaBlaBitextMining":0.832127,"IndonesianIdClickbaitClassification":0.580763,"XNLI":0.6446697142857143},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":83,"model":{"name":"sentence-transformers/paraphrase-multilingual-mpnet-base-v2","url":"https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2019-11-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Armenian","Bulgarian","Burmese","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Indonesian","Italian","Japanese","Korean","Kurdish","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Marathi","Modern Greek (1453-)","Mongolian","Norwegian Bokmål","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swedish","Thai","Turkish","Ukrainian","Urdu","Vietnamese"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":1061.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512,"meanTask":0.5192575872576906,"meanTaskType":0.45011351208899586,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.011384055264166052,"MultilabelClassification":0.1497323689994118,"Classification":0.5506435391255491,"Retrieval":0.3975775238634658,"Reranking":0.533746767203514,"STS":0.6966104039828362,"Clustering":0.40192411660649197,"PairClassification":0.8115442843643152,"BitextMining":0.520626659919545},"scoresByTask":{"SemRel24STS":0.5539463518408585,"FinParaSTS":0.25520348803775217,"PolEmo2.0-OUT":0.19919028340080974,"JSICK":0.6469901497355702,"SwednClusteringP2P":0.30006062788022203,"MalteseNewsClassification":0.10422289943404442,"CzechProductReviewSentimentClassification":0.55458984375,"STS13":0.851067656701606,"IndicCrosslingualSTS":0.3409687373505032,"SprintDuplicateQuestions":0.9109871555441387,"WikipediaRerankingMultilingual":0.8218340277777778,"EstonianValenceClassification":0.4083129584352078,"STS15":0.8748018793840922,"MLQARetrieval":0.6116228571428571,"HALClusteringS2S.v2":0.25617174685378363,"PoemSentimentClassification":0.49811813186813186,"BrazilianToxicTweetsClassification":0.151807,"StatcanDialogueDatasetRetrieval":0.189505,"STS17":0.8251857092057722,"NordicLangClassification":0.4157,"ArXivHierarchicalClusteringP2P":0.5534276670530136,"NusaTranslationBitextMining":0.4147127131182071,"MassiveIntentClassification":0.5740488309832656,"CLSClusteringP2P.v2":0.3925507062183195,"WikipediaRetrievalMultilingual":0.717918125,"SinhalaNewsClassification":0.7099609375,"StackExchangeClustering.v2":0.46235438475977036,"MasakhaNEWSClassification":0.5896314804196201,"NusaX-senti":0.6110833333333333,"CataloniaTweetClassification":0.464225,"OpusparcusPC":0.9502310401281101,"ArmenianParaphrasePC":0.9538695054156368,"KorHateSpeechMLClassification":0.05905743740795287,"WikiClusteringP2P.v2":0.2500914435128936,"AmazonCounterfactualClassification":0.7276652761221295,"ArXivHierarchicalClusteringS2S":0.5516032759428068,"NepaliNewsClassification":0.937109375,"ArguAna":0.48908,"AILAStatutes":0.22236,"ToxicConversationsClassification":0.65556640625,"IndicGenBenchFloresBitextMining":0.7595026698450703,"CSFDSKMovieReviewSentimentClassification":0.321875,"SiswatiNewsClassification":0.5974999999999999,"CEDRClassification":0.39984059511158343,"TempReasonL1":0.01939,"BiorxivClusteringP2P.v2":0.36069759040358595,"NorwegianCourtsBitextMining":0.8728070175438597,"PunjabiNewsClassification":0.8019108280254776,"SpartQA":0.05686,"BUCC.v2":0.9793115146625337,"BornholmBitextMining":0.18182931512931513,"BibleNLPBitextMining":0.05896934022959743,"SIB200ClusteringS2S":0.24066656169282485,"RTE3":0.8949319978186635,"TERRa":0.6456662563306175,"SwahiliNewsClassification":0.50537109375,"DBpediaClassification":0.896533203125,"HagridRetrieval":0.98519,"MultiHateClassification":0.6254727272727273,"WikiCitiesClustering":0.6172655474787038,"Tatoeba":0.6216878936163452,"STS14":0.8080585658408256,"KurdishSentimentClassification":0.7924006039255158,"PpcPC":0.9367111973837764,"STSBenchmark":0.8682218476677823,"MasakhaNEWSClusteringS2S":0.3773332936804355,"MIRACLRetrievalHardNegatives":0.2719388888888889,"NTREXBitextMining":0.6249489644808279,"DalajClassification":0.4998873873873875,"SICK-R":0.7962205774287165,"NollySentiBitextMining":0.23382655230372934,"SCIDOCS":0.13965,"BelebeleRetrieval":0.5439205585106383,"IsiZuluNewsClassification":0.1988031914893617,"TwitterHjerneRetrieval":0.36681,"STSB":0.8244491739610309,"STSES":0.7279937941549619,"KorSarcasmClassification":0.556005859375,"WinoGrande":0.49013,"SentimentAnalysisHindi":0.6054665306165083,"RuBQReranking":0.5876834586094655,"CyrillicTurkicLangClassification":0.331591796875,"FilipinoShopeeReviewsClassification":0.27099609375,"STS22.v2":0.6167516514966925,"RomaniBibleClustering":0.3738663231636226,"MacedonianTweetSentimentClassification":0.6337137840210711,"AfriSentiClassification":0.4244547089175059,"STS12":0.7789525808313972,"LegalBenchCorporateLobbying":0.87617,"TweetTopicSingleClassification":0.6815121086828115,"MultiEURLEXMultilabelClassification":0.03373391304347826,"T2Reranking":0.6449298287723758,"GreekLegalCodeClassification":0.31621093749999996,"SlovakMovieReviewSentimentClassification":0.69599609375,"FaroeseSTS":0.5329624347842054,"SwissJudgementClassification":0.5297885666702871,"TwitterURLCorpus":0.8532492627482752,"TRECCOVID":0.37872,"IndicLangClassification":0.17905187717798673,"GujaratiNewsClassification":0.8193474962063731,"ItaCaseholdClassification":0.7176470588235293,"FloresBitextMining":0.3516645962764416,"Robust04InstructionRetrieval":-0.03986178260094604,"BulgarianStoreReviewSentimentClassfication":0.5510989010989011,"OdiaNewsClassification":0.7570942508435877,"TswanaNewsClassification":0.197741273100616,"PlscClusteringP2P.v2":0.6956819740132472,"FinancialPhrasebankClassification":0.774249116607774,"News21InstructionRetrieval":0.006136846883424381,"StackOverflowQA":0.43111,"Core17InstructionRetrieval":-0.0004272300749764979,"WebLINXCandidatesReranking":0.06339280501459126,"PAC":0.6376194613379671,"VoyageMMarcoReranking":0.41259726618482384,"MedrxivClusteringP2P.v2":0.35773235342706017,"GermanSTSBenchmark":0.8439918653036127,"AlloprofReranking":0.6720432168620495,"AlloProfClusteringS2S.v2":0.4180627407342839,"ScalaClassification":0.5003662109375,"indonli":0.5796744667660267,"IN22GenBitextMining":0.47707834188719683,"CovidRetrieval":0.28852,"BigPatentClustering.v2":0.22321962888929794,"PawsXPairClassification":0.5391658940760972,"NusaXBitextMining":0.3849911346510821,"NusaParagraphEmotionClassification":0.31869786508154097,"LEMBPasskeyRetrieval":0.0775,"CTKFactsNLI":0.8304815730260398,"DiaBlaBitextMining":0.8068165252098795,"IndonesianIdClickbaitClassification":0.5940662989866821,"XNLI":0.8320187787700871},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":84,"model":{"name":"Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2024-06-14","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":1061.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/paraphrase-multilingual-mpnet-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":0.5199543527645218,"meanTaskType":0.4532379309230733,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.010511,"MultilabelClassification":0.14992731304347826,"Classification":0.5464014009228744,"Retrieval":0.38471592365768215,"Reranking":0.5427028854166667,"STS":0.7128582111840795,"Clustering":0.38247505137327775,"PairClassification":0.8116052186147187,"BitextMining":0.558966374094882},"scoresByTask":{"SemRel24STS":0.6038239166666667,"FinParaSTS":0.2814115,"PolEmo2.0-OUT":0.262551,"JSICK":0.727201,"SwednClusteringP2P":0.23046,"MalteseNewsClassification":0.081323,"CzechProductReviewSentimentClassification":0.535742,"STS13":0.8273032633919926,"IndicCrosslingualSTS":0.3758553333333334,"SprintDuplicateQuestions":0.89418,"WikipediaRerankingMultilingual":0.8402738125,"EstonianValenceClassification":0.394621,"STS15":0.8762163215009723,"MLQARetrieval":0.597200612244898,"HALClusteringS2S.v2":0.207738,"PoemSentimentClassification":0.49996799999999997,"BrazilianToxicTweetsClassification":0.18999,"StatcanDialogueDatasetRetrieval":0.118945,"STS17":0.8246652727272727,"NordicLangClassification":0.4302,"ArXivHierarchicalClusteringP2P":0.526607,"NusaTranslationBitextMining":0.5004870909090909,"MassiveIntentClassification":0.5953866862745097,"CLSClusteringP2P.v2":0.353973,"WikipediaRetrievalMultilingual":0.7668425,"SinhalaNewsClassification":0.670947,"StackExchangeClustering.v2":0.485842,"MasakhaNEWSClassification":0.5617489375,"NusaX-senti":0.6026666666666667,"CataloniaTweetClassification":0.4294635,"OpusparcusPC":0.9512560833333333,"ArmenianParaphrasePC":0.951576,"KorHateSpeechMLClassification":0.063623,"WikiClusteringP2P.v2":0.24862792857142857,"AmazonCounterfactualClassification":0.750812125,"ArXivHierarchicalClusteringS2S":0.525286,"NepaliNewsClassification":0.909473,"ArguAna":0.43975,"AILAStatutes":0.19511,"ToxicConversationsClassification":0.649463,"IndicGenBenchFloresBitextMining":0.789398224137931,"CSFDSKMovieReviewSentimentClassification":0.303467,"SiswatiNewsClassification":0.65375,"CEDRClassification":0.382891,"TempReasonL1":0.01914,"BiorxivClusteringP2P.v2":0.323849,"NorwegianCourtsBitextMining":0.923246,"PunjabiNewsClassification":0.70828,"SpartQA":0.03958,"BUCC.v2":0.984229,"BornholmBitextMining":0.215521,"BibleNLPBitextMining":0.0651768079710145,"SIB200ClusteringS2S":0.21370089340101525,"RTE3":0.891663,"TERRa":0.627097,"SwahiliNewsClassification":0.502979,"DBpediaClassification":0.897266,"HagridRetrieval":0.98519,"MultiHateClassification":0.624009090909091,"WikiCitiesClustering":0.660114,"Tatoeba":0.6357807857142858,"STS14":0.8164974497557361,"KurdishSentimentClassification":0.745496,"PpcPC":0.937421,"STSBenchmark":0.8616303183485594,"MasakhaNEWSClusteringS2S":0.36839099999999997,"MIRACLRetrievalHardNegatives":0.29272944444444443,"NTREXBitextMining":0.6628780652400834,"DalajClassification":0.499324,"SICK-R":0.7939435627520158,"NollySentiBitextMining":0.28433450000000005,"SCIDOCS":0.12865,"BelebeleRetrieval":0.5461790691489361,"IsiZuluNewsClassification":0.224867,"TwitterHjerneRetrieval":0.33225,"STSB":0.8126575,"STSES":0.741421,"KorSarcasmClassification":0.544629,"WinoGrande":0.48617,"SentimentAnalysisHindi":0.616136,"RuBQReranking":0.609206,"CyrillicTurkicLangClassification":0.417773,"FilipinoShopeeReviewsClassification":0.275635,"STS22.v2":0.6178161111111111,"RomaniBibleClustering":0.380289,"MacedonianTweetSentimentClassification":0.585953,"AfriSentiClassification":0.41536475,"STS12":0.7893043293576132,"LegalBenchCorporateLobbying":0.83769,"TweetTopicSingleClassification":0.616302,"MultiEURLEXMultilabelClassification":0.031809565217391304,"T2Reranking":0.661358,"GreekLegalCodeClassification":0.309473,"SlovakMovieReviewSentimentClassification":0.683838,"FaroeseSTS":0.625112,"SwissJudgementClassification":0.5313553333333333,"TwitterURLCorpus":0.860714,"TRECCOVID":0.3851,"IndicLangClassification":0.243382,"GujaratiNewsClassification":0.76047,"ItaCaseholdClassification":0.786878,"FloresBitextMining":0.3675036402492031,"Robust04InstructionRetrieval":-0.043639,"BulgarianStoreReviewSentimentClassfication":0.548352,"OdiaNewsClassification":0.725131,"TswanaNewsClassification":0.197947,"PlscClusteringP2P.v2":0.690582,"FinancialPhrasebankClassification":0.766166,"News21InstructionRetrieval":0.006749,"StackOverflowQA":0.30623,"Core17InstructionRetrieval":0.005357,"WebLINXCandidatesReranking":0.0619935,"PAC":0.637388,"VoyageMMarcoReranking":0.431488,"MedrxivClusteringP2P.v2":0.3234,"GermanSTSBenchmark":0.8308725,"AlloprofReranking":0.651898,"AlloProfClusteringS2S.v2":0.377244,"ScalaClassification":0.50214825,"indonli":0.589598,"IN22GenBitextMining":0.5410290217391305,"CovidRetrieval":0.33563,"BigPatentClustering.v2":0.203497,"PawsXPairClassification":0.544264,"NusaXBitextMining":0.46463572727272723,"NusaParagraphEmotionClassification":0.3198899,"LEMBPasskeyRetrieval":0.1125,"CTKFactsNLI":0.8519405,"DiaBlaBitextMining":0.832343,"IndonesianIdClickbaitClassification":0.558568,"XNLI":0.8279478214285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":85,"model":{"name":"sentence-transformers/LaBSE","url":"https://huggingface.co/sentence-transformers/LaBSE","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.471,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2019-11-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Armenian","Bulgarian","Burmese","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Indonesian","Italian","Japanese","Korean","Kurdish","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Marathi","Modern Greek (1453-)","Mongolian","Norwegian Bokmål","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swedish","Thai","Turkish","Ukrainian","Urdu","Vietnamese"],"citation":"@misc{feng2022languageagnosticbertsentenceembedding,\n title={Language-agnostic BERT Sentence Embedding},\n author={Fangxiaoyu Feng and Yinfei Yang and Daniel Cer and Naveen Arivazhagan and Wei Wang},\n year={2022},\n eprint={2007.01852},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2007.01852},\n }","memoryUsageMb":1796.0,"license":"apache-2.0","publicTrainingCode":"https://www.kaggle.com/models/google/labse/tensorFlow2/labse/2?tfhub-redirect=true","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.471,"embeddingDim":768,"maxTokens":512,"meanTask":0.5206696822099909,"meanTaskType":0.4564896174791991,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02998099257303799,"MultilabelClassification":0.20122116885597582,"Classification":0.5460084417572433,"Retrieval":0.3316911301516272,"Reranking":0.5019756209844671,"STS":0.653497625056543,"Clustering":0.3808039646433129,"PairClassification":0.7596908880619059,"BitextMining":0.763498710374755},"scoresByTask":{"SemRel24STS":0.6227748092129947,"FinParaSTS":0.24823815963063123,"PolEmo2.0-OUT":0.44757085020242915,"JSICK":0.7698893346336119,"SwednClusteringP2P":0.27933570690404086,"MalteseNewsClassification":0.29042228994340447,"CzechProductReviewSentimentClassification":0.527392578125,"STS13":0.6797543550218779,"IndicCrosslingualSTS":0.5275801799859855,"SprintDuplicateQuestions":0.8926375293062657,"WikipediaRerankingMultilingual":0.8093706183862434,"EstonianValenceClassification":0.3828850855745721,"STS15":0.7659341752268845,"MLQARetrieval":0.5269732653061224,"HALClusteringS2S.v2":0.20392138532862622,"PoemSentimentClassification":0.4813369963369963,"BrazilianToxicTweetsClassification":0.207861328125,"StatcanDialogueDatasetRetrieval":0.0417275,"STS17":0.7418204228376322,"NordicLangClassification":0.35386666666666666,"ArXivHierarchicalClusteringP2P":0.5344270249920056,"NusaTranslationBitextMining":0.8116996527378909,"MassiveIntentClassification":0.5761129308963128,"CLSClusteringP2P.v2":0.358001191189406,"WikipediaRetrievalMultilingual":0.66306375,"SinhalaNewsClassification":0.6611328125,"StackExchangeClustering.v2":0.30233366371330894,"MasakhaNEWSClassification":0.7221757817744032,"NusaX-senti":0.6497916666666667,"CataloniaTweetClassification":0.46525,"OpusparcusPC":0.9399158612092902,"ArmenianParaphrasePC":0.9556336462001336,"KorHateSpeechMLClassification":0.06622484045164456,"WikiClusteringP2P.v2":0.2529623663247956,"AmazonCounterfactualClassification":0.749879103380403,"ArXivHierarchicalClusteringS2S":0.49986064489223114,"NepaliNewsClassification":0.868212890625,"ArguAna":0.34178,"AILAStatutes":0.16717,"ToxicConversationsClassification":0.632373046875,"IndicGenBenchFloresBitextMining":0.9160979332377558,"CSFDSKMovieReviewSentimentClassification":0.2927734375,"SiswatiNewsClassification":0.6425,"CEDRClassification":0.40605738575982997,"TempReasonL1":0.01564,"BiorxivClusteringP2P.v2":0.32427862133174284,"NorwegianCourtsBitextMining":0.9261695906432749,"PunjabiNewsClassification":0.773248407643312,"SpartQA":0.01561,"BUCC.v2":0.9876684202018526,"BornholmBitextMining":0.45625569985569986,"BibleNLPBitextMining":0.1879184613804074,"SIB200ClusteringS2S":0.18786704860428421,"RTE3":0.8699708774086988,"TERRa":0.557081571444402,"SwahiliNewsClassification":0.600146484375,"DBpediaClassification":0.8478515625,"HagridRetrieval":0.94763,"MultiHateClassification":0.6078818181818182,"WikiCitiesClustering":0.6509677179134266,"Tatoeba":0.8114049549210332,"STS14":0.6403144384844788,"KurdishSentimentClassification":0.6101157523905385,"PpcPC":0.8696783545579525,"STSBenchmark":0.7225055941558153,"MasakhaNEWSClusteringS2S":0.3916459230286812,"MIRACLRetrievalHardNegatives":0.17492944444444444,"NTREXBitextMining":0.9069040801163176,"DalajClassification":0.49887387387387383,"SICK-R":0.6999188482038212,"NollySentiBitextMining":0.8051809910956252,"SCIDOCS":0.05632,"BelebeleRetrieval":0.6073163829787234,"IsiZuluNewsClassification":0.32327127659574467,"TwitterHjerneRetrieval":0.1438,"STSB":0.6993403703159636,"STSES":0.7690847725508182,"KorSarcasmClassification":0.5609375,"WinoGrande":0.54296,"SentimentAnalysisHindi":0.5341089803803458,"RuBQReranking":0.5512582873913561,"CyrillicTurkicLangClassification":0.35986328125,"FilipinoShopeeReviewsClassification":0.3269287109375,"STS22.v2":0.632551425064898,"RomaniBibleClustering":0.43644054202522203,"MacedonianTweetSentimentClassification":0.5359086918349429,"AfriSentiClassification":0.43170656636349797,"STS12":0.6508166563535989,"LegalBenchCorporateLobbying":0.69388,"TweetTopicSingleClassification":0.5484937979917307,"MultiEURLEXMultilabelClassification":0.03554,"T2Reranking":0.6328614882694595,"GreekLegalCodeClassification":0.1956298828125,"SlovakMovieReviewSentimentClassification":0.618408203125,"FaroeseSTS":0.5520673066381397,"SwissJudgementClassification":0.5506066640116819,"TwitterURLCorpus":0.8458219134995364,"TRECCOVID":0.16339,"IndicLangClassification":0.19197843382207902,"GujaratiNewsClassification":0.7635811836115327,"ItaCaseholdClassification":0.5325791855203621,"FloresBitextMining":0.7211323597266492,"Robust04InstructionRetrieval":-0.09372552447629062,"BulgarianStoreReviewSentimentClassfication":0.5461538461538462,"OdiaNewsClassification":0.7692460728262358,"TswanaNewsClassification":0.41252566735112933,"PlscClusteringP2P.v2":0.7080798656548408,"FinancialPhrasebankClassification":0.7186395759717314,"News21InstructionRetrieval":-0.011131448533904752,"StackOverflowQA":0.38226,"Core17InstructionRetrieval":0.014913995291081414,"WebLINXCandidatesReranking":0.0913390876032677,"PAC":0.6808572256009267,"VoyageMMarcoReranking":0.3732765827961959,"MedrxivClusteringP2P.v2":0.3375144873879118,"GermanSTSBenchmark":0.7333711525875363,"AlloprofReranking":0.5537476614602802,"AlloProfClusteringS2S.v2":0.30208929693435194,"ScalaClassification":0.5055908203125,"indonli":0.4985596761955143,"IN22GenBitextMining":0.7403924046858019,"CovidRetrieval":0.28599,"BigPatentClustering.v2":0.3231379480681305,"PawsXPairClassification":0.5136844758693341,"NusaXBitextMining":0.7789231068021949,"NusaParagraphEmotionClassification":0.38866748596455997,"LEMBPasskeyRetrieval":0.2,"CTKFactsNLI":0.7482363869551538,"DiaBlaBitextMining":0.8757355794673122,"IndonesianIdClickbaitClassification":0.591308197035622,"XNLI":0.6653794760346823},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":86,"model":{"name":"Haon-Chen/speed-embedding-7b-instruct","url":"https://huggingface.co/Haon-Chen/speed-embedding-7b-instruct","zeroShotPct":-1,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":null,"maxTokens":32768.0,"releaseDate":"2024-10-31","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@article{chen2024little,\n title={Little Giants: Synthesizing High-Quality Embedding Data at Scale},\n author={Chen, Haonan and Wang, Liang and Yang, Nan and Zhu, Yutao and Zhao, Ziliang and Wei, Furu and Dou, Zhicheng},\n journal={arXiv preprint arXiv:2410.18634},\n year={2024}\n}","memoryUsageMb":13563.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mistralai/Mistral-7B-v0.1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":null,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0009136666666666671,"Classification":0.5731564300439415,"Reranking":0.48846876736111106,"Clustering":0.4170979550625453,"PairClassification":0.7481927007091642,"BitextMining":0.19535671305491376},"scoresByTask":{"SemRel24STS":0.5083290833333334,"FinParaSTS":0.03193,"PolEmo2.0-OUT":0.414372,"JSICK":0.764772,"SwednClusteringP2P":0.3827085,"MalteseNewsClassification":0.256073,"CzechProductReviewSentimentClassification":0.48833,"STS13":0.8994300436293617,"IndicCrosslingualSTS":-0.04807316666666667,"SprintDuplicateQuestions":0.9577631677784113,"WikipediaRerankingMultilingual":0.8030999375,"EstonianValenceClassification":0.342665,"STS15":0.9119520084590635,"MLQARetrieval":0.20934551020408163,"HALClusteringS2S.v2":0.202426,"PoemSentimentClassification":0.43864899999999996,"BrazilianToxicTweetsClassification":0.168115,"StatcanDialogueDatasetRetrieval":0.045169999999999995,"NordicLangClassification":0.736967,"ArXivHierarchicalClusteringP2P":0.600154,"NusaTranslationBitextMining":0.4262346363636364,"MassiveIntentClassification":0.5349812843137255,"CLSClusteringP2P.v2":0.390819,"WikipediaRetrievalMultilingual":0.719349375,"SinhalaNewsClassification":0.533838,"StackExchangeClustering.v2":0.525119,"MasakhaNEWSClassification":0.741718375,"NusaX-senti":0.6025625,"CataloniaTweetClassification":0.49741475,"OpusparcusPC":0.8945971666666667,"ArmenianParaphrasePC":0.915839,"KorHateSpeechMLClassification":0.070447,"WikiClusteringP2P.v2":0.24257735714285714,"AmazonCounterfactualClassification":0.711985625,"ArXivHierarchicalClusteringS2S":0.560762,"NepaliNewsClassification":0.927539,"ArguAna":0.59295,"AILAStatutes":0.2641,"ToxicConversationsClassification":0.6843159999999999,"IndicGenBenchFloresBitextMining":0.1449634827586207,"CSFDSKMovieReviewSentimentClassification":0.2979,"SiswatiNewsClassification":0.76,"CEDRClassification":0.37763,"TempReasonL1":0.00422,"BiorxivClusteringP2P.v2":0.381548,"NorwegianCourtsBitextMining":0.819444,"PunjabiNewsClassification":0.642675,"SpartQA":0.00424,"BUCC.v2":0.203128,"BornholmBitextMining":0.181718,"BibleNLPBitextMining":0.0204027306763285,"SIB200ClusteringS2S":0.17290792385786802,"RTE3":0.874209,"TERRa":0.532681,"SwahiliNewsClassification":0.647559,"DBpediaClassification":0.907812,"MultiHateClassification":0.5879090909090908,"WikiCitiesClustering":0.836133,"Tatoeba":0.11023879464285714,"STS14":0.8623848649310362,"KurdishSentimentClassification":0.579265,"PpcPC":0.741097,"STSBenchmark":0.8920507562822989,"MasakhaNEWSClusteringS2S":0.37176750000000003,"NTREXBitextMining":0.1355470307933194,"DalajClassification":0.500788,"SICK-R":0.8246041161692649,"NollySentiBitextMining":0.0916305,"SCIDOCS":0.16628999999999997,"BelebeleRetrieval":0.2757351595744681,"IsiZuluNewsClassification":0.256383,"TwitterHjerneRetrieval":0.15067,"STSB":0.6724195,"STSES":0.693728,"KorSarcasmClassification":0.553174,"WinoGrande":0.01985,"SentimentAnalysisHindi":0.447105,"RuBQReranking":0.518568,"CyrillicTurkicLangClassification":0.779639,"FilipinoShopeeReviewsClassification":0.3272705,"STS22.v2":0.5587195,"RomaniBibleClustering":0.385127,"MacedonianTweetSentimentClassification":0.494644,"AfriSentiClassification":0.4034985833333333,"STS12":0.8015194914870666,"LegalBenchCorporateLobbying":0.82615,"TweetTopicSingleClassification":0.705139,"T2Reranking":0.643867,"GreekLegalCodeClassification":0.368286,"SlovakMovieReviewSentimentClassification":0.621143,"FaroeseSTS":0.515356,"SwissJudgementClassification":0.5435373333333333,"TwitterURLCorpus":0.8749835162128704,"TRECCOVID":0.87433,"IndicLangClassification":0.90144,"GujaratiNewsClassification":0.602124,"ItaCaseholdClassification":0.760181,"FloresBitextMining":0.09480800159374095,"Robust04InstructionRetrieval":-0.023352,"BulgarianStoreReviewSentimentClassfication":0.523626,"OdiaNewsClassification":0.485566,"TswanaNewsClassification":0.384189,"PlscClusteringP2P.v2":0.711804,"FinancialPhrasebankClassification":0.684099,"News21InstructionRetrieval":0.006018,"StackOverflowQA":0.60661,"Core17InstructionRetrieval":0.014593,"WebLINXCandidatesReranking":0.09623666666666668,"PAC":0.676281,"VoyageMMarcoReranking":0.45668,"MedrxivClusteringP2P.v2":0.348086,"GermanSTSBenchmark":0.669775,"AlloprofReranking":0.412361,"AlloProfClusteringS2S.v2":0.261816,"ScalaClassification":0.53228725,"indonli":0.503525,"IN22GenBitextMining":0.14436582015810276,"CovidRetrieval":0.5432,"BigPatentClustering.v2":0.299812,"PawsXPairClassification":0.6085506428571429,"NusaXBitextMining":0.14709827272727272,"NusaParagraphEmotionClassification":0.4245602,"LEMBPasskeyRetrieval":0.2225,"CTKFactsNLI":0.7378155,"DiaBlaBitextMining":0.020058,"IndonesianIdClickbaitClassification":0.592307,"XNLI":0.5890587142857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":87,"model":{"name":"WhereIsAI/UAE-Large-V1","url":"https://huggingface.co/WhereIsAI/UAE-Large-V1","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-12-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n @article{li2023angle,\n title={AnglE-optimized Text Embeddings},\n author={Li, Xianming and Li, Jing},\n journal={arXiv preprint arXiv:2309.12871},\n year={2023}\n }\n ","memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MNLI","NLI","SNLI"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":0.46093656209042444,"meanTaskType":0.39613010854105457,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.021441666666666668,"MultilabelClassification":0.17174808553342885,"Classification":0.49655958222896046,"Retrieval":0.41209877871489414,"Reranking":0.48349681468280165,"STS":0.6075033487714273,"Clustering":0.41868347230878,"PairClassification":0.7281645843806566,"BitextMining":0.26835797691520874},"scoresByTask":{"SemRel24STS":0.37282938340141314,"FinParaSTS":0.08099015267269791,"PolEmo2.0-OUT":0.2880566801619433,"JSICK":0.6278255263784759,"SwednClusteringP2P":0.33057583603273255,"MalteseNewsClassification":0.236265,"CzechProductReviewSentimentClassification":0.43896484375,"STS13":0.8961713197117621,"IndicCrosslingualSTS":0.023132239743669625,"SprintDuplicateQuestions":0.9723695845695101,"WikipediaRerankingMultilingual":0.7214050595238095,"EstonianValenceClassification":0.2897310513447433,"STS15":0.8950909892872387,"MLQARetrieval":0.22793969387755103,"HALClusteringS2S.v2":0.26636227189930406,"PoemSentimentClassification":0.5316025641025641,"BrazilianToxicTweetsClassification":0.207324,"StatcanDialogueDatasetRetrieval":0.21875999999999998,"STS17":0.4353181258063066,"NordicLangClassification":0.5420666666666667,"ArXivHierarchicalClusteringP2P":0.5937910271512732,"NusaTranslationBitextMining":0.5643877272727272,"MassiveIntentClassification":0.3572800906370882,"CLSClusteringP2P.v2":0.182223,"WikipediaRetrievalMultilingual":0.567310625,"SinhalaNewsClassification":0.37880859375,"StackExchangeClustering.v2":0.5721976219782328,"MasakhaNEWSClassification":0.6265933208742325,"NusaX-senti":0.540625,"CataloniaTweetClassification":0.48369475,"OpusparcusPC":0.8753004326482765,"ArmenianParaphrasePC":0.879928145270874,"KorHateSpeechMLClassification":0.040943,"WikiClusteringP2P.v2":0.25779459761142093,"AmazonCounterfactualClassification":0.6609239893794552,"ArXivHierarchicalClusteringS2S":0.6051344629594086,"NepaliNewsClassification":0.40947265625,"ArguAna":0.6614999999999999,"AILAStatutes":0.24455,"ToxicConversationsClassification":0.668896484375,"IndicGenBenchFloresBitextMining":0.05463631896551724,"CSFDSKMovieReviewSentimentClassification":0.21201171875,"SiswatiNewsClassification":0.74375,"CEDRClassification":0.3427736450584485,"TempReasonL1":0.01614,"BiorxivClusteringP2P.v2":0.417929,"NorwegianCourtsBitextMining":0.9049707602339181,"PunjabiNewsClassification":0.6617834394904458,"SpartQA":0.02503,"BUCC.v2":0.28284575,"BornholmBitextMining":0.3305969696969697,"BibleNLPBitextMining":0.01679641183263981,"SIB200ClusteringS2S":0.11781302565284234,"RTE3":0.8750007837085549,"TERRa":0.47756153740687374,"SwahiliNewsClassification":0.5392578125,"DBpediaClassification":0.835498046875,"HagridRetrieval":0.98836,"MultiHateClassification":0.5639090909090908,"WikiCitiesClustering":0.864723,"Tatoeba":0.08035961013183832,"STS14":0.8501783656853793,"KurdishSentimentClassification":0.5795168595873176,"PpcPC":0.7157522555941394,"STSBenchmark":0.8906081794905042,"MasakhaNEWSClusteringS2S":0.4065111769094275,"MIRACLRetrievalHardNegatives":0.1875877777777778,"NTREXBitextMining":0.22071425521920668,"DalajClassification":0.499775,"SICK-R":0.8262331465639475,"NollySentiBitextMining":0.2859717384516783,"SCIDOCS":0.22981,"BelebeleRetrieval":0.30494992021276596,"IsiZuluNewsClassification":0.2712765957446808,"TwitterHjerneRetrieval":0.13116,"STSB":0.4378498621850465,"STSES":0.7660494323611018,"KorSarcasmClassification":0.5439453125,"WinoGrande":0.53605,"SentimentAnalysisHindi":0.371396,"RuBQReranking":0.46192079726657154,"CyrillicTurkicLangClassification":0.654785,"FilipinoShopeeReviewsClassification":0.28772,"STS22.v2":0.5082202742464148,"RomaniBibleClustering":0.369305,"MacedonianTweetSentimentClassification":0.38990342405618966,"AfriSentiClassification":0.38268989109150237,"STS12":0.7909144554302442,"LegalBenchCorporateLobbying":0.92002,"TweetTopicSingleClassification":0.714767,"MultiEURLEXMultilabelClassification":0.03143478260869565,"T2Reranking":0.6347541104224886,"GreekLegalCodeClassification":0.08212900000000001,"SlovakMovieReviewSentimentClassification":0.561475,"FaroeseSTS":0.6411057176624086,"SwissJudgementClassification":0.5304123333333334,"TwitterURLCorpus":0.8633025598681032,"TRECCOVID":0.76271,"IndicLangClassification":0.43420671970543756,"GujaratiNewsClassification":0.428756,"ItaCaseholdClassification":0.9167420814479639,"FloresBitextMining":0.15255827801120447,"Robust04InstructionRetrieval":-0.069833,"BulgarianStoreReviewSentimentClassfication":0.35219780219780217,"OdiaNewsClassification":0.5478355420819715,"TswanaNewsClassification":0.2655030800821355,"PlscClusteringP2P.v2":0.686942,"FinancialPhrasebankClassification":0.7853798586572437,"News21InstructionRetrieval":0.003038,"StackOverflowQA":0.82092,"Core17InstructionRetrieval":0.00247,"WebLINXCandidatesReranking":0.08222608415565051,"PAC":0.6061685490877498,"VoyageMMarcoReranking":0.31578506693006225,"MedrxivClusteringP2P.v2":0.368819606384123,"GermanSTSBenchmark":0.6775364097162251,"AlloprofReranking":0.6848897697982276,"AlloProfClusteringS2S.v2":0.376275,"ScalaClassification":0.50181884765625,"indonli":0.48743918848895984,"IN22GenBitextMining":0.05634440513833992,"CovidRetrieval":0.19998,"BigPatentClustering.v2":0.2825389303617144,"PawsXPairClassification":0.5397899908353405,"NusaXBitextMining":0.2787854749436734,"NusaParagraphEmotionClassification":0.29794233879949167,"LEMBPasskeyRetrieval":0.375,"CTKFactsNLI":0.716682,"DiaBlaBitextMining":0.259686,"IndonesianIdClickbaitClassification":0.572793,"XNLI":0.6066839497965902},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":88,"model":{"name":"mixedbread-ai/mxbai-embed-large-v1","url":"https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-03-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{li2023angle,\n title={AnglE-optimized Text Embeddings},\n author={Li, Xianming and Li, Jing},\n journal={arXiv preprint arXiv:2309.12871},\n year={2023}\n }\n","memoryUsageMb":639.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":0.4591193731858774,"meanTaskType":0.39448313911691996,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.019523333333333334,"MultilabelClassification":0.18101257850575242,"Classification":0.49740483257233625,"Retrieval":0.4030404296177691,"Reranking":0.475955643833527,"STS":0.6046032081966788,"Clustering":0.42487729574133226,"PairClassification":0.7255606124276436,"BitextMining":0.25741698449057354},"scoresByTask":{"SemRel24STS":0.35924517615053503,"FinParaSTS":0.08411662818410127,"PolEmo2.0-OUT":0.29797570850202426,"JSICK":0.6266568613200523,"SwednClusteringP2P":0.32976064615039524,"MalteseNewsClassification":0.247976,"CzechProductReviewSentimentClassification":0.435546875,"STS13":0.8979451553480633,"IndicCrosslingualSTS":0.028329027704181015,"SprintDuplicateQuestions":0.9681663100569824,"WikipediaRerankingMultilingual":0.7190572916666667,"EstonianValenceClassification":0.2910757946210269,"STS15":0.89343833752036,"MLQARetrieval":0.22393795918367349,"HALClusteringS2S.v2":0.2631659943607061,"PoemSentimentClassification":0.5368727106227107,"BrazilianToxicTweetsClassification":0.202539,"StatcanDialogueDatasetRetrieval":0.19129,"STS17":0.4265608888134615,"NordicLangClassification":0.5446666666666666,"ArXivHierarchicalClusteringP2P":0.6010625739174296,"NusaTranslationBitextMining":0.55667044644078,"MassiveIntentClassification":0.3531995658407899,"CLSClusteringP2P.v2":0.17874050371010197,"WikipediaRetrievalMultilingual":0.549699375,"SinhalaNewsClassification":0.385888671875,"StackExchangeClustering.v2":0.550802570899201,"MasakhaNEWSClassification":0.6329837922762794,"NusaX-senti":0.5415208333333333,"CataloniaTweetClassification":0.48302809276464187,"OpusparcusPC":0.8719461783376713,"ArmenianParaphrasePC":0.8716392150085285,"KorHateSpeechMLClassification":0.040746,"WikiClusteringP2P.v2":0.26178465063998424,"AmazonCounterfactualClassification":0.6571679524770283,"ArXivHierarchicalClusteringS2S":0.5899389736636808,"NepaliNewsClassification":0.407373046875,"ArguAna":0.65469,"AILAStatutes":0.24754,"ToxicConversationsClassification":0.67314453125,"IndicGenBenchFloresBitextMining":0.04645339342400557,"CSFDSKMovieReviewSentimentClassification":0.212939453125,"SiswatiNewsClassification":0.74375,"CEDRClassification":0.38241232731137087,"TempReasonL1":0.0159,"BiorxivClusteringP2P.v2":0.4187022064365139,"NorwegianCourtsBitextMining":0.9057017543859649,"PunjabiNewsClassification":0.6496815286624203,"SpartQA":0.0151,"BUCC.v2":0.2651832252935446,"BornholmBitextMining":0.3024860028860029,"BibleNLPBitextMining":0.015035651773277002,"SIB200ClusteringS2S":0.12250535406281814,"RTE3":0.8757942194730443,"TERRa":0.48149944697559516,"SwahiliNewsClassification":0.544775390625,"DBpediaClassification":0.857275390625,"HagridRetrieval":0.98836,"MultiHateClassification":0.5641636363636363,"WikiCitiesClustering":0.8805530575095165,"Tatoeba":0.07594548920154452,"STS14":0.8521908733722553,"KurdishSentimentClassification":0.5774031202818318,"PpcPC":0.704224157826027,"STSBenchmark":0.8928960362631743,"MasakhaNEWSClusteringS2S":0.4209934387385591,"MIRACLRetrievalHardNegatives":0.1778,"NTREXBitextMining":0.2094225075608307,"DalajClassification":0.49808558558558563,"SICK-R":0.8277671230423026,"NollySentiBitextMining":0.27227638714885655,"SCIDOCS":0.23101,"BelebeleRetrieval":0.2974103989361702,"IsiZuluNewsClassification":0.2710106382978723,"TwitterHjerneRetrieval":0.15541,"STSB":0.4333993849247296,"STSES":0.7561987115112402,"KorSarcasmClassification":0.54775390625,"WinoGrande":0.47988,"SentimentAnalysisHindi":0.37057799220328025,"RuBQReranking":0.4439899163429036,"CyrillicTurkicLangClassification":0.653173828125,"FilipinoShopeeReviewsClassification":0.287158203125,"STS22.v2":0.5093969499277071,"RomaniBibleClustering":0.37472526978281945,"MacedonianTweetSentimentClassification":0.38858647936786656,"AfriSentiClassification":0.38156415339565813,"STS12":0.7906872494516909,"LegalBenchCorporateLobbying":0.91814,"TweetTopicSingleClassification":0.7221500295333727,"MultiEURLEXMultilabelClassification":0.0313895652173913,"T2Reranking":0.6303236081284148,"GreekLegalCodeClassification":0.081591796875,"SlovakMovieReviewSentimentClassification":0.5642578125,"FaroeseSTS":0.6230161099163795,"SwissJudgementClassification":0.5325109522526684,"TwitterURLCorpus":0.862275892878467,"TRECCOVID":0.7553,"IndicLangClassification":0.4375665724242225,"GujaratiNewsClassification":0.43141122913505303,"ItaCaseholdClassification":0.8981900452488688,"FloresBitextMining":0.1443203040193602,"Robust04InstructionRetrieval":-0.074758,"BulgarianStoreReviewSentimentClassfication":0.34945054945054943,"OdiaNewsClassification":0.5438216933088127,"TswanaNewsClassification":0.2646817248459959,"PlscClusteringP2P.v2":0.7060814075768891,"FinancialPhrasebankClassification":0.7962014134275618,"News21InstructionRetrieval":0.007469,"StackOverflowQA":0.80874,"Core17InstructionRetrieval":0.008719,"WebLINXCandidatesReranking":0.08497940392953945,"PAC":0.6053286996814364,"VoyageMMarcoReranking":0.3044215801734777,"MedrxivClusteringP2P.v2":0.37269967546926125,"GermanSTSBenchmark":0.6718068176966264,"AlloprofReranking":0.6729620627601599,"AlloProfClusteringS2S.v2":0.3789706960033518,"ScalaClassification":0.5014404296875,"indonli":0.487643601458615,"IN22GenBitextMining":0.053179339755554944,"CovidRetrieval":0.18702,"BigPatentClustering.v2":0.3475497129400884,"PawsXPairClassification":0.5392720071908735,"NusaXBitextMining":0.2594557723840453,"NusaParagraphEmotionClassification":0.29784414487635785,"LEMBPasskeyRetrieval":0.3575,"CTKFactsNLI":0.71320298861833,"DiaBlaBitextMining":0.24029052410368862,"IndonesianIdClickbaitClassification":0.5736171592254067,"XNLI":0.6055027188799453},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":89,"model":{"name":"ibm-granite/granite-embedding-97m-multilingual-r2","url":"https://huggingface.co/ibm-granite/granite-embedding-97m-multilingual-r2","zeroShotPct":96,"activeParamsB":0.028,"totalParamsB":0.097,"embeddingDim":384,"maxTokens":8192.0,"releaseDate":"2026-04-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Azerbaijani","Bengali","Bulgarian","Catalan","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Georgian","German","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Kazakh","Khmer","Korean","Latvian","Lithuanian","Malay (macrolanguage)","Marathi","Modern Greek (1453-)","Norwegian","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese"],"citation":"@article{awasthy2026graniteembeddingmultilingualr2,\n title={Granite Embedding Multilingual R2 Models},\n author={Parul Awasthy and Aashka Trivedi and Yushu Yang and Ken Barker and Yulong Li and Bhavani Iyer and Martin Franz and Juergen Bross and Meet Doshi and Vignesh P and Vishwajeet Kumar and Todd Ward and Abraham Daniels and Madison Lee and Luis Lastras and Jaydeep Sen and Radu Florian},\n year={2026},\n journal={arXiv preprint arXiv:2605.13521}\n url={https://arxiv.org/abs/2605.13521},\n}","memoryUsageMb":186.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["DBPedia","FEVER","FEVERHardNegatives","HotPotQA","HotpotQAHardNegatives","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQHardNegatives","SpartQA","StackOverflowDupQuestions","StatcanDialogueDatasetRetrieval","TempReasonL1","TempReasonL2Context","TempReasonL2Fact","TempReasonL2Pure","TempReasonL3Context","TempReasonL3Fact","TempReasonL3Pure","WinoGrande"]},"zeroShotPct":96,"activeParamsB":0.028,"totalParamsB":0.097,"embeddingDim":384,"maxTokens":8192,"meanTask":0.5191888317290784,"meanTaskType":0.4590963035875404,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.020111666666666663,"MultilabelClassification":0.17907315652173916,"Classification":0.49621705670988275,"Retrieval":0.6031867130081938,"Reranking":0.5939110833333333,"STS":0.6557525632891414,"Clustering":0.43645388457725254,"PairClassification":0.7453745021645023,"BitextMining":0.4420094393504855},"scoresByTask":{"SemRel24STS":0.5919308333333334,"FinParaSTS":0.1366745,"PolEmo2.0-OUT":0.190081,"JSICK":0.792533,"SwednClusteringP2P":0.327188,"MalteseNewsClassification":0.250892,"CzechProductReviewSentimentClassification":0.471777,"STS13":0.797896,"IndicCrosslingualSTS":0.16805608333333333,"SprintDuplicateQuestions":0.952052,"WikipediaRerankingMultilingual":0.834395,"EstonianValenceClassification":0.331051,"STS15":0.835842,"MLQARetrieval":0.6053759183673469,"HALClusteringS2S.v2":0.263365,"PoemSentimentClassification":0.490018,"BrazilianToxicTweetsClassification":0.193457,"StatcanDialogueDatasetRetrieval":0.5364975,"STS17":0.6985668181818182,"NordicLangClassification":0.414033,"ArXivHierarchicalClusteringP2P":0.571886,"NusaTranslationBitextMining":0.49238309090909094,"MassiveIntentClassification":0.4124231078431373,"CLSClusteringP2P.v2":0.384987,"WikipediaRetrievalMultilingual":0.832406875,"SinhalaNewsClassification":0.465283,"StackExchangeClustering.v2":0.556571,"MasakhaNEWSClassification":0.6533041875,"NusaX-senti":0.5893958333333333,"CataloniaTweetClassification":0.45391225,"OpusparcusPC":0.9051271666666666,"ArmenianParaphrasePC":0.92333,"KorHateSpeechMLClassification":0.073687,"WikiClusteringP2P.v2":0.25884650000000003,"AmazonCounterfactualClassification":0.6193538749999999,"ArXivHierarchicalClusteringS2S":0.553207,"NepaliNewsClassification":0.939795,"ArguAna":0.53087,"AILAStatutes":0.28953,"ToxicConversationsClassification":0.574707,"IndicGenBenchFloresBitextMining":0.4455151551724138,"CSFDSKMovieReviewSentimentClassification":0.24707,"SiswatiNewsClassification":0.465,"CEDRClassification":0.338895,"TempReasonL1":0.05145,"BiorxivClusteringP2P.v2":0.397051,"NorwegianCourtsBitextMining":0.881579,"PunjabiNewsClassification":0.694904,"SpartQA":0.67343,"BUCC.v2":0.9318897500000001,"BornholmBitextMining":0.26639,"BibleNLPBitextMining":0.0522281672705314,"SIB200ClusteringS2S":0.2294367157360406,"RTE3":0.85684575,"TERRa":0.5375,"SwahiliNewsClassification":0.57793,"DBpediaClassification":0.816113,"HagridRetrieval":0.98694,"MultiHateClassification":0.5771818181818182,"WikiCitiesClustering":0.774675,"Tatoeba":0.38822183035714286,"STS14":0.724612,"KurdishSentimentClassification":0.575793,"PpcPC":0.830925,"STSBenchmark":0.779391,"MasakhaNEWSClusteringS2S":0.41282993749999997,"MIRACLRetrievalHardNegatives":0.5608683333333333,"NTREXBitextMining":0.47681417849686847,"DalajClassification":0.496059,"SICK-R":0.700609,"NollySentiBitextMining":0.29512174999999996,"SCIDOCS":0.20355,"BelebeleRetrieval":0.5285722074468084,"IsiZuluNewsClassification":0.215559,"TwitterHjerneRetrieval":0.56708,"STSB":0.7463394999999999,"STSES":0.778293,"KorSarcasmClassification":0.536719,"WinoGrande":0.5661,"SentimentAnalysisHindi":0.504171,"RuBQReranking":0.67935,"CyrillicTurkicLangClassification":0.450098,"FilipinoShopeeReviewsClassification":0.253125,"STS22.v2":0.6807472777777778,"RomaniBibleClustering":0.401863,"MacedonianTweetSentimentClassification":0.442932,"AfriSentiClassification":0.39398724999999996,"STS12":0.713433,"LegalBenchCorporateLobbying":0.91362,"TweetTopicSingleClassification":0.668222,"MultiEURLEXMultilabelClassification":0.03843478260869565,"T2Reranking":0.6734,"GreekLegalCodeClassification":0.215088,"SlovakMovieReviewSentimentClassification":0.597266,"FaroeseSTS":0.595233,"SwissJudgementClassification":0.5481306666666667,"TwitterURLCorpus":0.826311,"TRECCOVID":0.66266,"IndicLangClassification":0.548458,"GujaratiNewsClassification":0.470789,"ItaCaseholdClassification":0.556561,"FloresBitextMining":0.2605092340142954,"Robust04InstructionRetrieval":-0.061661,"BulgarianStoreReviewSentimentClassfication":0.471978,"OdiaNewsClassification":0.438741,"TswanaNewsClassification":0.228953,"PlscClusteringP2P.v2":0.724205,"FinancialPhrasebankClassification":0.675663,"News21InstructionRetrieval":0.003257,"StackOverflowQA":0.81991,"Core17InstructionRetrieval":-0.001931,"WebLINXCandidatesReranking":0.0967015,"PAC":0.673994,"VoyageMMarcoReranking":0.5479,"MedrxivClusteringP2P.v2":0.365743,"GermanSTSBenchmark":0.751884,"AlloprofReranking":0.73172,"AlloProfClusteringS2S.v2":0.418171,"ScalaClassification":0.50084225,"indonli":0.48647,"IN22GenBitextMining":0.1848144644268775,"CovidRetrieval":0.701,"BigPatentClustering.v2":0.343237,"PawsXPairClassification":0.5702402857142858,"NusaXBitextMining":0.381961090909091,"NusaParagraphEmotionClassification":0.3243852,"LEMBPasskeyRetrieval":0.8275,"CTKFactsNLI":0.7058795,"DiaBlaBitextMining":0.688695,"IndonesianIdClickbaitClassification":0.566486,"XNLI":0.6044388214285714},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SpartQA","StatcanDialogueDatasetRetrieval","TempReasonL1","WinoGrande"],"experiments":null},{"rank":90,"model":{"name":"ibm-granite/granite-embedding-107m-multilingual","url":"https://huggingface.co/ibm-granite/granite-embedding-107m-multilingual","zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.107,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-12-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic (Latin)","Chinese","Chinese (Traditional)","Czech","Dutch","English","French","German","Italian","Japanese (Latin)","Korean (Latin)","Portuguese","Spanish"],"citation":"@article{awasthy2025graniteembedding,\n title={Granite Embedding Models},\n author={Awasthy, Parul and Trivedi, Aashka and Li, Yulong and Bornea, Mihaela and Cox, David and Daniels, Abraham and Franz, Martin and Goodhart, Gabe and Iyer, Bhavani and Kumar, Vishwajeet and Lastras, Luis and McCarley, Scott and Murthy, Rudra and P, Vignesh and Rosenthal, Sara and Roukos, Salim and Sen, Jaydeep and Sharma, Sukriti and Sil, Avirup and Soule, Kate and Sultan, Arafat and Florian, Radu},\n journal={arXiv preprint arXiv:2502.20204},\n year={2025}\n}","memoryUsageMb":204.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.107,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02962833333333333,"MultilabelClassification":0.17331323478260868,"Classification":0.5256509538738963,"Retrieval":0.4807583383355312,"Reranking":0.5848304062499999,"Clustering":0.4038497202739757,"PairClassification":0.752919882034632,"BitextMining":0.5407504625604654},"scoresByTask":{"SemRel24STS":0.5861606666666667,"FinParaSTS":0.131042,"PolEmo2.0-OUT":0.179352,"JSICK":0.772935,"SwednClusteringP2P":0.289033,"MalteseNewsClassification":0.220026,"CzechProductReviewSentimentClassification":0.471484,"STS13":0.756399,"IndicCrosslingualSTS":0.26927358333333334,"SprintDuplicateQuestions":0.940777,"WikipediaRerankingMultilingual":0.8391969375,"EstonianValenceClassification":0.325428,"STS15":0.850551,"MLQARetrieval":0.6047348979591837,"HALClusteringS2S.v2":0.22844,"PoemSentimentClassification":0.44353,"BrazilianToxicTweetsClassification":0.187451,"StatcanDialogueDatasetRetrieval":0.2749925,"NordicLangClassification":0.416833,"ArXivHierarchicalClusteringP2P":0.550976,"NusaTranslationBitextMining":0.5857551818181818,"MassiveIntentClassification":0.46353235294117645,"CLSClusteringP2P.v2":0.375462,"WikipediaRetrievalMultilingual":0.8187675,"SinhalaNewsClassification":0.713525,"StackExchangeClustering.v2":0.526249,"MasakhaNEWSClassification":0.6537025,"NusaX-senti":0.5877916666666666,"CataloniaTweetClassification":0.45460225,"OpusparcusPC":0.9048879166666667,"ArmenianParaphrasePC":0.935202,"KorHateSpeechMLClassification":0.079381,"WikiClusteringP2P.v2":0.2614299285714286,"AmazonCounterfactualClassification":0.708863,"ArXivHierarchicalClusteringS2S":0.527251,"NepaliNewsClassification":0.9354,"ArguAna":0.51663,"AILAStatutes":0.21668,"ToxicConversationsClassification":0.603809,"IndicGenBenchFloresBitextMining":0.7377763706896552,"CSFDSKMovieReviewSentimentClassification":0.235596,"SiswatiNewsClassification":0.50375,"CEDRClassification":0.342136,"TempReasonL1":0.00709,"BiorxivClusteringP2P.v2":0.376204,"NorwegianCourtsBitextMining":0.913743,"PunjabiNewsClassification":0.852229,"SpartQA":0.08652,"BUCC.v2":0.9762945,"BornholmBitextMining":0.38556,"BibleNLPBitextMining":0.06418643357487923,"SIB200ClusteringS2S":0.22542172081218276,"RTE3":0.862438,"TERRa":0.55541,"SwahiliNewsClassification":0.603467,"DBpediaClassification":0.883887,"HagridRetrieval":0.98694,"MultiHateClassification":0.5854363636363636,"WikiCitiesClustering":0.696539,"Tatoeba":0.49326633035714285,"STS14":0.731976,"KurdishSentimentClassification":0.598641,"PpcPC":0.833628,"STSBenchmark":0.769844,"MasakhaNEWSClusteringS2S":0.38650687499999997,"MIRACLRetrievalHardNegatives":0.5724788888888889,"NTREXBitextMining":0.5773077682672234,"DalajClassification":0.501914,"SICK-R":0.684656,"NollySentiBitextMining":0.3262755,"SCIDOCS":0.1738,"BelebeleRetrieval":0.5511563031914893,"IsiZuluNewsClassification":0.20625,"TwitterHjerneRetrieval":0.17061,"STSB":0.7465175,"STSES":0.779058,"KorSarcasmClassification":0.5354,"WinoGrande":0.60524,"SentimentAnalysisHindi":0.504478,"RuBQReranking":0.666716,"CyrillicTurkicLangClassification":0.530176,"FilipinoShopeeReviewsClassification":0.277295,"STS22.v2":0.6656946666666667,"RomaniBibleClustering":0.392977,"MacedonianTweetSentimentClassification":0.505882,"AfriSentiClassification":0.3825191666666667,"STS12":0.747362,"LegalBenchCorporateLobbying":0.89439,"TweetTopicSingleClassification":0.691199,"MultiEURLEXMultilabelClassification":0.03757217391304348,"T2Reranking":0.671168,"GreekLegalCodeClassification":0.1730225,"SlovakMovieReviewSentimentClassification":0.592139,"FaroeseSTS":0.631735,"SwissJudgementClassification":0.5411166666666667,"TwitterURLCorpus":0.856694,"TRECCOVID":0.62815,"IndicLangClassification":0.349865,"GujaratiNewsClassification":0.797117,"ItaCaseholdClassification":0.633484,"FloresBitextMining":0.3365313949821308,"Robust04InstructionRetrieval":-0.086892,"BulgarianStoreReviewSentimentClassfication":0.426374,"OdiaNewsClassification":0.720366,"TswanaNewsClassification":0.244969,"PlscClusteringP2P.v2":0.698956,"FinancialPhrasebankClassification":0.708657,"News21InstructionRetrieval":0.008519,"StackOverflowQA":0.66576,"Core17InstructionRetrieval":-0.010512,"WebLINXCandidatesReranking":0.09836650000000001,"PAC":0.670518,"VoyageMMarcoReranking":0.536479,"MedrxivClusteringP2P.v2":0.353212,"GermanSTSBenchmark":0.7810805000000001,"AlloprofReranking":0.697056,"AlloProfClusteringS2S.v2":0.320985,"ScalaClassification":0.50196525,"indonli":0.486673,"IN22GenBitextMining":0.41748562450592885,"CovidRetrieval":0.59721,"BigPatentClustering.v2":0.251953,"PawsXPairClassification":0.5480601428571429,"NusaXBitextMining":0.3961019090909091,"NusaParagraphEmotionClassification":0.3182383,"LEMBPasskeyRetrieval":0.28250000000000003,"CTKFactsNLI":0.715978,"DiaBlaBitextMining":0.819472,"IndonesianIdClickbaitClassification":0.569187,"XNLI":0.642370642857143},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":91,"model":{"name":"avsolatorio/GIST-large-Embedding-v0","url":"https://huggingface.co/avsolatorio/GIST-large-Embedding-v0","zeroShotPct":96,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-02-14","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{solatorio2024gistembed,\n title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},\n author={Aivin V. Solatorio},\n journal={arXiv preprint arXiv:2402.16829},\n year={2024},\n URL={https://arxiv.org/abs/2402.16829}\n eprint={2402.16829},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}","memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","Banking77Classification","DuRetrieval","EmotionClassification","ImdbClassification","MLQARetrieval","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","NQ","NQ-NL","NQHardNegatives","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":96,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018138333333333333,"MultilabelClassification":0.17541697847802984,"Classification":0.4817648765768147,"Retrieval":0.4040804898401441,"Reranking":0.47084975656398625,"Clustering":0.42389561937998554,"PairClassification":0.722826943569905,"BitextMining":0.2563830596620627},"scoresByTask":{"SemRel24STS":0.41812658333333336,"FinParaSTS":0.103363,"PolEmo2.0-OUT":0.218623,"JSICK":0.636089,"SwednClusteringP2P":0.323764,"MalteseNewsClassification":0.244232,"CzechProductReviewSentimentClassification":0.433057,"STS13":0.8928563503553643,"IndicCrosslingualSTS":-0.0014881666666666654,"SprintDuplicateQuestions":0.9654495433438355,"WikipediaRerankingMultilingual":0.73071925,"EstonianValenceClassification":0.290465,"STS15":0.8969728364350713,"MLQARetrieval":0.23013571428571428,"HALClusteringS2S.v2":0.25373,"PoemSentimentClassification":0.521566,"BrazilianToxicTweetsClassification":0.213135,"StatcanDialogueDatasetRetrieval":0.26048499999999997,"NordicLangClassification":0.548067,"ArXivHierarchicalClusteringP2P":0.597983,"NusaTranslationBitextMining":0.5669556363636364,"MassiveIntentClassification":0.29311533333333334,"CLSClusteringP2P.v2":0.199926,"WikipediaRetrievalMultilingual":0.55350875,"SinhalaNewsClassification":0.369727,"StackExchangeClustering.v2":0.604036,"MasakhaNEWSClassification":0.6489504375,"NusaX-senti":0.5424375,"CataloniaTweetClassification":0.48598125,"OpusparcusPC":0.8700013333333333,"ArmenianParaphrasePC":0.88522,"KorHateSpeechMLClassification":0.049435,"WikiClusteringP2P.v2":0.2618872857142857,"AmazonCounterfactualClassification":0.656646875,"ArXivHierarchicalClusteringS2S":0.589655,"NepaliNewsClassification":0.455566,"ArguAna":0.6338,"AILAStatutes":0.30302,"ToxicConversationsClassification":0.718624,"IndicGenBenchFloresBitextMining":0.04209344827586207,"CSFDSKMovieReviewSentimentClassification":0.21665,"SiswatiNewsClassification":0.53875,"CEDRClassification":0.34006376195536664,"TempReasonL1":0.01479,"BiorxivClusteringP2P.v2":0.423635,"NorwegianCourtsBitextMining":0.878216,"PunjabiNewsClassification":0.600637,"SpartQA":0.04704,"BUCC.v2":0.25601375000000004,"BornholmBitextMining":0.293937,"BibleNLPBitextMining":0.01814597644927536,"SIB200ClusteringS2S":0.12336862436548224,"RTE3":0.87061025,"TERRa":0.479840337550861,"SwahiliNewsClassification":0.532422,"DBpediaClassification":0.829248,"HagridRetrieval":0.98847,"MultiHateClassification":0.5525363636363636,"WikiCitiesClustering":0.868131,"Tatoeba":0.07210173214285713,"STS14":0.838288465070091,"KurdishSentimentClassification":0.584097,"PpcPC":0.678696,"STSBenchmark":0.8830389489193672,"MasakhaNEWSClusteringS2S":0.40036700000000003,"MIRACLRetrievalHardNegatives":0.14544166666666666,"NTREXBitextMining":0.209861878914405,"DalajClassification":0.496284,"SICK-R":0.8279782085421951,"NollySentiBitextMining":0.28759,"SCIDOCS":0.24062,"BelebeleRetrieval":0.31116768617021273,"IsiZuluNewsClassification":0.256383,"TwitterHjerneRetrieval":0.15063,"STSB":0.46327050000000003,"STSES":0.747522,"KorSarcasmClassification":0.524414,"WinoGrande":0.39069,"SentimentAnalysisHindi":0.380441,"RuBQReranking":0.39896478938391794,"CyrillicTurkicLangClassification":0.638818,"FilipinoShopeeReviewsClassification":0.294092,"STS22.v2":0.5370507777777778,"RomaniBibleClustering":0.369383,"MacedonianTweetSentimentClassification":0.372783,"AfriSentiClassification":0.38205941666666665,"STS12":0.7712670500926937,"LegalBenchCorporateLobbying":0.93046,"TweetTopicSingleClassification":0.730774,"MultiEURLEXMultilabelClassification":0.03021913043478261,"T2Reranking":0.619902,"GreekLegalCodeClassification":0.0535645,"SlovakMovieReviewSentimentClassification":0.568896,"FaroeseSTS":0.637884,"SwissJudgementClassification":0.5403566666666667,"TwitterURLCorpus":0.8596137364694969,"TRECCOVID":0.69127,"IndicLangClassification":0.444733,"GujaratiNewsClassification":0.437557,"ItaCaseholdClassification":0.745701,"FloresBitextMining":0.14747427243311118,"Robust04InstructionRetrieval":-0.05174,"BulgarianStoreReviewSentimentClassfication":0.345604,"OdiaNewsClassification":0.472631,"TswanaNewsClassification":0.26386,"PlscClusteringP2P.v2":0.695568,"FinancialPhrasebankClassification":0.808922,"News21InstructionRetrieval":0.003028,"StackOverflowQA":0.82187,"Core17InstructionRetrieval":-0.005703,"WebLINXCandidatesReranking":0.0871145,"PAC":0.576803,"VoyageMMarcoReranking":0.29841,"MedrxivClusteringP2P.v2":0.379457,"GermanSTSBenchmark":0.678534,"AlloprofReranking":0.689988,"AlloProfClusteringS2S.v2":0.385759,"ScalaClassification":0.49962175,"indonli":0.480458,"IN22GenBitextMining":0.06395044466403162,"CovidRetrieval":0.18505,"BigPatentClustering.v2":0.30568,"PawsXPairClassification":0.5457502857142857,"NusaXBitextMining":0.27719563636363637,"NusaParagraphEmotionClassification":0.2818706,"LEMBPasskeyRetrieval":0.375,"CTKFactsNLI":0.7109965,"DiaBlaBitextMining":0.219444,"IndonesianIdClickbaitClassification":0.562554,"XNLI":0.6044603928571428},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":92,"model":{"name":"intfloat/e5-large-v2","url":"https://huggingface.co/intfloat/e5-large-v2","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":514,"meanTask":0.46643171706673997,"meanTaskType":0.4031620683446241,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.009935666666666667,"MultilabelClassification":0.15845381919379714,"Classification":0.4979946654026929,"Retrieval":0.40057037356165875,"Reranking":0.48758673219272847,"STS":0.6186857183940451,"Clustering":0.39787314953520747,"PairClassification":0.7391972410110598,"BitextMining":0.338032582477094},"scoresByTask":{"SemRel24STS":0.4428938898030304,"FinParaSTS":0.1598819811188566,"PolEmo2.0-OUT":0.23279352226720648,"JSICK":0.7188885428127878,"SwednClusteringP2P":0.27235051619916784,"MalteseNewsClassification":0.2028297779712669,"CzechProductReviewSentimentClassification":0.455419921875,"STS13":0.8098029517065778,"IndicCrosslingualSTS":0.030581112879233523,"SprintDuplicateQuestions":0.9483551821336549,"WikipediaRerankingMultilingual":0.7815410218253969,"EstonianValenceClassification":0.29877750611246945,"STS15":0.8829499706388189,"MLQARetrieval":0.26141479591836736,"HALClusteringS2S.v2":0.2493391144392299,"PoemSentimentClassification":0.5081089743589744,"BrazilianToxicTweetsClassification":0.16923828125,"StatcanDialogueDatasetRetrieval":0.169745,"STS17":0.4805269026236347,"NordicLangClassification":0.5982333333333333,"ArXivHierarchicalClusteringP2P":0.5778481103327435,"NusaTranslationBitextMining":0.742481102905753,"MassiveIntentClassification":0.32698835334444126,"CLSClusteringP2P.v2":0.20543630905378962,"WikipediaRetrievalMultilingual":0.655714375,"SinhalaNewsClassification":0.394189453125,"StackExchangeClustering.v2":0.5207408773855098,"MasakhaNEWSClassification":0.6402243213223816,"NusaX-senti":0.5969166666666667,"CataloniaTweetClassification":0.4826892218461338,"OpusparcusPC":0.886554958693908,"ArmenianParaphrasePC":0.8994534284452317,"KorHateSpeechMLClassification":0.034413352970054004,"WikiClusteringP2P.v2":0.24508830475406398,"AmazonCounterfactualClassification":0.6843723383370051,"ArXivHierarchicalClusteringS2S":0.5510124770152588,"NepaliNewsClassification":0.577197265625,"ArguAna":0.46427,"AILAStatutes":0.17633,"ToxicConversationsClassification":0.63291015625,"IndicGenBenchFloresBitextMining":0.08134740495760161,"CSFDSKMovieReviewSentimentClassification":0.224853515625,"SiswatiNewsClassification":0.45625,"CEDRClassification":0.3554729011689692,"TempReasonL1":0.01766,"BiorxivClusteringP2P.v2":0.397176428189129,"NorwegianCourtsBitextMining":0.9247076023391813,"PunjabiNewsClassification":0.5847133757961782,"SpartQA":0.10366,"BUCC.v2":0.37228691252480717,"BornholmBitextMining":0.4086200501253132,"BibleNLPBitextMining":0.029977187374976927,"SIB200ClusteringS2S":0.0966691150628817,"RTE3":0.8659173340350785,"TERRa":0.4726599208656485,"SwahiliNewsClassification":0.548291015625,"DBpediaClassification":0.894482421875,"HagridRetrieval":0.9897,"MultiHateClassification":0.5612363636363636,"WikiCitiesClustering":0.7794842077596872,"Tatoeba":0.11685703317510766,"STS14":0.7915977416467089,"KurdishSentimentClassification":0.6196779063915451,"PpcPC":0.8434597318929373,"STSBenchmark":0.845488080918384,"MasakhaNEWSClusteringS2S":0.36526732022209063,"MIRACLRetrievalHardNegatives":0.16577,"NTREXBitextMining":0.3059202295189208,"DalajClassification":0.49988738738738736,"SICK-R":0.7915895517070431,"NollySentiBitextMining":0.32946723608055783,"SCIDOCS":0.20498,"BelebeleRetrieval":0.33899255319148935,"IsiZuluNewsClassification":0.2458776595744681,"TwitterHjerneRetrieval":0.08533,"STSB":0.4335341654060719,"STSES":0.7983558551679866,"KorSarcasmClassification":0.534033203125,"WinoGrande":0.51524,"SentimentAnalysisHindi":0.40646204657224294,"RuBQReranking":0.47835819736633195,"CyrillicTurkicLangClassification":0.6673828125,"FilipinoShopeeReviewsClassification":0.31389160156249996,"STS22.v2":0.5698228900334296,"RomaniBibleClustering":0.3836363806178126,"MacedonianTweetSentimentClassification":0.41273046532045654,"AfriSentiClassification":0.395473778934667,"STS12":0.7355323398454772,"LegalBenchCorporateLobbying":0.91495,"TweetTopicSingleClassification":0.679799173065564,"MultiEURLEXMultilabelClassification":0.03031478260869565,"T2Reranking":0.5961411800579169,"GreekLegalCodeClassification":0.088818359375,"SlovakMovieReviewSentimentClassification":0.571337890625,"FaroeseSTS":0.6743254226313018,"SwissJudgementClassification":0.5472491084256978,"TwitterURLCorpus":0.8644115834976902,"TRECCOVID":0.66636,"IndicLangClassification":0.5305871523440068,"GujaratiNewsClassification":0.4393778452200303,"ItaCaseholdClassification":0.6402714932126696,"FloresBitextMining":0.21461774527169472,"Robust04InstructionRetrieval":-0.039265,"BulgarianStoreReviewSentimentClassfication":0.3873626373626374,"OdiaNewsClassification":0.5531021677562264,"TswanaNewsClassification":0.2753593429158111,"PlscClusteringP2P.v2":0.6748297906473474,"FinancialPhrasebankClassification":0.8310512367491165,"News21InstructionRetrieval":0.008256,"StackOverflowQA":0.89929,"Core17InstructionRetrieval":0.001202,"WebLINXCandidatesReranking":0.08227833440735166,"PAC":0.6978858963220388,"VoyageMMarcoReranking":0.3359718048254007,"MedrxivClusteringP2P.v2":0.35215934606100385,"GermanSTSBenchmark":0.7332000953653802,"AlloprofReranking":0.6512298546739727,"AlloProfClusteringS2S.v2":0.36430317719442706,"ScalaClassification":0.50145263671875,"indonli":0.4779619471930659,"IN22GenBitextMining":0.10081238926847709,"CovidRetrieval":0.19586,"BigPatentClustering.v2":0.330628917629176,"PawsXPairClassification":0.5246154495739586,"NusaXBitextMining":0.3677943958440304,"NusaParagraphEmotionClassification":0.29970004035956954,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7152161748013304,"DiaBlaBitextMining":0.39953428281580033,"IndonesianIdClickbaitClassification":0.5763510434742589,"XNLI":0.6325639399891537},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":93,"model":{"name":"nomic-ai/nomic-embed-text-v1","url":"https://huggingface.co/nomic-ai/nomic-embed-text-v1","zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-01-31","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{nussbaum2024nomic,\n title={Nomic Embed: Training a Reproducible Long Context Text Embedder},\n author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},\n year={2024},\n eprint={2402.01613},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n","memoryUsageMb":522.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/5f7b461e5a13b5636692d1c9f1141b27232fe966/src/contrastors/configs/train/contrastive_finetune.yaml","publicTrainingData":null,"adaptedFrom":null,"supersededBy":"nomic-ai/nomic-embed-text-v1.5","extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.032455333333333336,"MultilabelClassification":0.17799928695652173,"Classification":0.49385073907163285,"Retrieval":0.3704546673002337,"Reranking":0.46007849305555554,"Clustering":0.4080551280026288,"PairClassification":0.7166100349346002,"BitextMining":0.28368569794387444},"scoresByTask":{"SemRel24STS":0.4400753333333333,"FinParaSTS":0.1525125,"PolEmo2.0-OUT":0.22834,"JSICK":0.705923,"SwednClusteringP2P":0.296008,"MalteseNewsClassification":0.258032,"CzechProductReviewSentimentClassification":0.449268,"STS13":0.8540429140249618,"IndicCrosslingualSTS":0.10810833333333332,"SprintDuplicateQuestions":0.9352081548447405,"WikipediaRerankingMultilingual":0.755717125,"EstonianValenceClassification":0.299144,"STS15":0.8720408521902229,"MLQARetrieval":0.20725653061224492,"HALClusteringS2S.v2":0.218551,"PoemSentimentClassification":0.5779855,"BrazilianToxicTweetsClassification":0.198242,"StatcanDialogueDatasetRetrieval":0.14597,"NordicLangClassification":0.5266,"ArXivHierarchicalClusteringP2P":0.589489,"NusaTranslationBitextMining":0.7169128181818182,"MassiveIntentClassification":0.2947107156862745,"CLSClusteringP2P.v2":0.201377,"WikipediaRetrievalMultilingual":0.562760625,"SinhalaNewsClassification":0.38208,"StackExchangeClustering.v2":0.585626,"MasakhaNEWSClassification":0.654607625,"NusaX-senti":0.5816875,"CataloniaTweetClassification":0.4831105,"OpusparcusPC":0.88391725,"ArmenianParaphrasePC":0.888397,"KorHateSpeechMLClassification":0.056897,"WikiClusteringP2P.v2":0.2482217142857143,"AmazonCounterfactualClassification":0.662815,"ArXivHierarchicalClusteringS2S":0.549637,"NepaliNewsClassification":0.589209,"ArguAna":0.49258,"AILAStatutes":0.16255,"ToxicConversationsClassification":0.7149519999999999,"IndicGenBenchFloresBitextMining":0.03806687931034483,"CSFDSKMovieReviewSentimentClassification":0.233789,"SiswatiNewsClassification":0.5075,"CEDRClassification":0.349575,"TempReasonL1":0.01588,"BiorxivClusteringP2P.v2":0.414831,"NorwegianCourtsBitextMining":0.931287,"PunjabiNewsClassification":0.60828,"SpartQA":0.06269,"BUCC.v2":0.2025795,"BornholmBitextMining":0.484076,"BibleNLPBitextMining":0.017758039855072464,"SIB200ClusteringS2S":0.08724858375634519,"RTE3":0.8560385,"TERRa":0.463235,"SwahiliNewsClassification":0.519531,"DBpediaClassification":0.906104,"HagridRetrieval":0.98397,"MultiHateClassification":0.5591272727272728,"WikiCitiesClustering":0.843349,"Tatoeba":0.05830291071428571,"STS14":0.8164101363896585,"KurdishSentimentClassification":0.601258,"PpcPC":0.683407,"STSBenchmark":0.8554302197678367,"MasakhaNEWSClusteringS2S":0.38889675,"MIRACLRetrievalHardNegatives":0.12040611111111112,"NTREXBitextMining":0.23033251356993736,"DalajClassification":0.497297,"SICK-R":0.785797159641342,"NollySentiBitextMining":0.3102905,"SCIDOCS":0.18292999999999998,"BelebeleRetrieval":0.285230744680851,"IsiZuluNewsClassification":0.230053,"TwitterHjerneRetrieval":0.13513,"STSB":0.4091395,"STSES":0.710022,"KorSarcasmClassification":0.54834,"WinoGrande":0.44564,"SentimentAnalysisHindi":0.396332,"RuBQReranking":0.341278,"CyrillicTurkicLangClassification":0.668994,"FilipinoShopeeReviewsClassification":0.29919450000000003,"STS22.v2":0.5630708888888889,"RomaniBibleClustering":0.381697,"MacedonianTweetSentimentClassification":0.357594,"AfriSentiClassification":0.38123916666666663,"STS12":0.7891631735081286,"LegalBenchCorporateLobbying":0.92732,"TweetTopicSingleClassification":0.684997,"MultiEURLEXMultilabelClassification":0.027250434782608694,"T2Reranking":0.614295,"GreekLegalCodeClassification":0.0344485,"SlovakMovieReviewSentimentClassification":0.56543,"FaroeseSTS":0.679035,"SwissJudgementClassification":0.556299,"TwitterURLCorpus":0.8671257651501476,"TRECCOVID":0.79923,"IndicLangClassification":0.480531,"GujaratiNewsClassification":0.417451,"ItaCaseholdClassification":0.628507,"FloresBitextMining":0.14681142152033227,"Robust04InstructionRetrieval":-0.111863,"BulgarianStoreReviewSentimentClassfication":0.333516,"OdiaNewsClassification":0.595406,"TswanaNewsClassification":0.292608,"PlscClusteringP2P.v2":0.668944,"FinancialPhrasebankClassification":0.839797,"News21InstructionRetrieval":0.035617,"StackOverflowQA":0.70958,"Core17InstructionRetrieval":-0.02112,"WebLINXCandidatesReranking":0.11825883333333333,"PAC":0.691428,"VoyageMMarcoReranking":0.306209,"MedrxivClusteringP2P.v2":0.370082,"GermanSTSBenchmark":0.66786,"AlloprofReranking":0.624713,"AlloProfClusteringS2S.v2":0.337397,"ScalaClassification":0.500281,"indonli":0.47783,"IN22GenBitextMining":0.07338121739130435,"CovidRetrieval":0.18656,"BigPatentClustering.v2":0.347527,"PawsXPairClassification":0.5276563571428571,"NusaXBitextMining":0.33362827272727275,"NusaParagraphEmotionClassification":0.2838405,"LEMBPasskeyRetrieval":0.2425,"CTKFactsNLI":0.711081,"DiaBlaBitextMining":0.144487,"IndonesianIdClickbaitClassification":0.571899,"XNLI":0.5888143571428571},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":94,"model":{"name":"nomic-ai/nomic-embed-text-v1-ablated","url":"https://huggingface.co/nomic-ai/nomic-embed-text-v1-ablated","zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-01-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/5f7b461e5a13b5636692d1c9f1141b27232fe966/src/contrastors/configs/train/contrastive_finetune.yaml","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["nomic"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03748633333333334,"MultilabelClassification":0.17355587826086957,"Classification":0.49237215843541443,"Retrieval":0.40743153862480763,"Reranking":0.4503722465277778,"Clustering":0.4042484734182379,"PairClassification":0.7206613956442349,"BitextMining":0.28600806155188807},"scoresByTask":{"SemRel24STS":0.4361584166666667,"FinParaSTS":0.2257305,"PolEmo2.0-OUT":0.245749,"JSICK":0.676739,"SwednClusteringP2P":0.2915895,"MalteseNewsClassification":0.217675,"CzechProductReviewSentimentClassification":0.454199,"STS13":0.7938801416063187,"IndicCrosslingualSTS":0.06040475,"SprintDuplicateQuestions":0.9484210829841738,"WikipediaRerankingMultilingual":0.7683898124999999,"EstonianValenceClassification":0.301589,"STS15":0.8550877410088334,"MLQARetrieval":0.21439857142857144,"HALClusteringS2S.v2":0.214091,"PoemSentimentClassification":0.5473445,"BrazilianToxicTweetsClassification":0.228467,"StatcanDialogueDatasetRetrieval":0.1523475,"NordicLangClassification":0.5347,"ArXivHierarchicalClusteringP2P":0.579034,"NusaTranslationBitextMining":0.7014389090909091,"MassiveIntentClassification":0.3043326176470588,"CLSClusteringP2P.v2":0.195557,"WikipediaRetrievalMultilingual":0.612604375,"SinhalaNewsClassification":0.369238,"StackExchangeClustering.v2":0.576426,"MasakhaNEWSClassification":0.6488463125,"NusaX-senti":0.5761458333333334,"CataloniaTweetClassification":0.4698045,"OpusparcusPC":0.8796750000000001,"ArmenianParaphrasePC":0.892125,"KorHateSpeechMLClassification":0.050123,"WikiClusteringP2P.v2":0.2473937142857143,"AmazonCounterfactualClassification":0.683723125,"ArXivHierarchicalClusteringS2S":0.551111,"NepaliNewsClassification":0.542725,"ArguAna":0.54662,"AILAStatutes":0.18298,"ToxicConversationsClassification":0.7138599999999999,"IndicGenBenchFloresBitextMining":0.04215136206896552,"CSFDSKMovieReviewSentimentClassification":0.227686,"SiswatiNewsClassification":0.5775,"CEDRClassification":0.343677,"TempReasonL1":0.01273,"BiorxivClusteringP2P.v2":0.40559,"NorwegianCourtsBitextMining":0.931287,"PunjabiNewsClassification":0.608917,"SpartQA":0.05854,"BUCC.v2":0.2326735,"BornholmBitextMining":0.463676,"BibleNLPBitextMining":0.020590885869565215,"SIB200ClusteringS2S":0.08595436040609136,"RTE3":0.85868725,"TERRa":0.477198,"SwahiliNewsClassification":0.515674,"DBpediaClassification":0.905566,"HagridRetrieval":0.98843,"MultiHateClassification":0.5580090909090909,"WikiCitiesClustering":0.82077,"Tatoeba":0.06885329464285714,"STS14":0.7817327332594571,"KurdishSentimentClassification":0.601359,"PpcPC":0.684247,"STSBenchmark":0.8341508337893958,"MasakhaNEWSClusteringS2S":0.384685,"MIRACLRetrievalHardNegatives":0.15902222222222223,"NTREXBitextMining":0.23298176878914406,"DalajClassification":0.500788,"SICK-R":0.773007421887329,"NollySentiBitextMining":0.31046875,"SCIDOCS":0.18696,"BelebeleRetrieval":0.29846502659574464,"IsiZuluNewsClassification":0.234176,"TwitterHjerneRetrieval":0.30217,"STSB":0.4268825,"STSES":0.727611,"KorSarcasmClassification":0.538672,"WinoGrande":0.52473,"SentimentAnalysisHindi":0.397151,"RuBQReranking":0.310896,"CyrillicTurkicLangClassification":0.683594,"FilipinoShopeeReviewsClassification":0.29892549999999996,"STS22.v2":0.5676061111111111,"RomaniBibleClustering":0.390651,"MacedonianTweetSentimentClassification":0.357155,"AfriSentiClassification":0.38598316666666665,"STS12":0.7797040896962337,"LegalBenchCorporateLobbying":0.92352,"TweetTopicSingleClassification":0.613585,"MultiEURLEXMultilabelClassification":0.027837391304347824,"T2Reranking":0.596264,"GreekLegalCodeClassification":0.041528499999999996,"SlovakMovieReviewSentimentClassification":0.564551,"FaroeseSTS":0.64879,"SwissJudgementClassification":0.5598106666666666,"TwitterURLCorpus":0.8638437691024106,"TRECCOVID":0.82312,"IndicLangClassification":0.491495,"GujaratiNewsClassification":0.407284,"ItaCaseholdClassification":0.628959,"FloresBitextMining":0.15006208070124602,"Robust04InstructionRetrieval":-0.091063,"BulgarianStoreReviewSentimentClassfication":0.336264,"OdiaNewsClassification":0.583063,"TswanaNewsClassification":0.317248,"PlscClusteringP2P.v2":0.662988,"FinancialPhrasebankClassification":0.834452,"News21InstructionRetrieval":-0.004937,"StackOverflowQA":0.73401,"Core17InstructionRetrieval":-0.016459,"WebLINXCandidatesReranking":0.12902766666666668,"PAC":0.642224,"VoyageMMarcoReranking":0.320481,"MedrxivClusteringP2P.v2":0.36204,"GermanSTSBenchmark":0.6319175,"AlloprofReranking":0.577175,"AlloProfClusteringS2S.v2":0.341265,"ScalaClassification":0.5012449999999999,"indonli":0.478709,"IN22GenBitextMining":0.07300070355731225,"CovidRetrieval":0.21562,"BigPatentClustering.v2":0.35883,"PawsXPairClassification":0.5171122857142857,"NusaXBitextMining":0.3359865454545454,"NusaParagraphEmotionClassification":0.301789,"LEMBPasskeyRetrieval":0.3975,"CTKFactsNLI":0.712361,"DiaBlaBitextMining":0.154934,"IndonesianIdClickbaitClassification":0.565092,"XNLI":0.6148959642857142},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":95,"model":{"name":"sdadas/mmlw-e5-large","url":"https://huggingface.co/sdadas/mmlw-e5-large","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2023-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Polish"],"citation":"@article{dadas2024pirb,\n title={{PIRB}: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods},\n author={Sławomir Dadas and Michał Perełkiewicz and Rafał Poświata},\n year={2024},\n eprint={2402.13350},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":2136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":0.4540301509434663,"meanTaskType":0.3795390653568754,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.033869666666666666,"MultilabelClassification":0.1708360608695652,"Classification":0.5205430897194658,"Retrieval":0.33333432577877486,"Reranking":0.39815587152777776,"STS":0.5949083989898991,"Clustering":0.42918800651797046,"PairClassification":0.7341457445887446,"BitextMining":0.2686097568863474},"scoresByTask":{"SemRel24STS":0.3676878333333333,"FinParaSTS":0.08356050000000001,"PolEmo2.0-OUT":0.4313765182186235,"JSICK":0.549916,"SwednClusteringP2P":0.39291149999999997,"MalteseNewsClassification":0.214715,"CzechProductReviewSentimentClassification":0.428809,"STS13":0.849162,"IndicCrosslingualSTS":0.047044,"SprintDuplicateQuestions":0.96537,"WikipediaRerankingMultilingual":0.6878935625,"EstonianValenceClassification":0.308068,"STS15":0.857166,"MLQARetrieval":0.21341061224489796,"HALClusteringS2S.v2":0.259577,"PoemSentimentClassification":0.529217,"BrazilianToxicTweetsClassification":0.199902,"StatcanDialogueDatasetRetrieval":0.22466250000000001,"STS17":0.47970827272727273,"NordicLangClassification":0.567533,"ArXivHierarchicalClusteringP2P":0.598724,"NusaTranslationBitextMining":0.5656586363636363,"MassiveIntentClassification":0.37971904901960785,"CLSClusteringP2P.v2":0.219221,"WikipediaRetrievalMultilingual":0.44489875,"SinhalaNewsClassification":0.439893,"StackExchangeClustering.v2":0.594283,"MasakhaNEWSClassification":0.6641091875,"NusaX-senti":0.5765208333333334,"CataloniaTweetClassification":0.489771,"OpusparcusPC":0.8666230833333333,"ArmenianParaphrasePC":0.898447,"KorHateSpeechMLClassification":0.045164,"WikiClusteringP2P.v2":0.25932385714285716,"AmazonCounterfactualClassification":0.65047075,"ArXivHierarchicalClusteringS2S":0.576432,"NepaliNewsClassification":0.670654,"ArguAna":0.62739,"AILAStatutes":0.19251,"ToxicConversationsClassification":0.663135,"IndicGenBenchFloresBitextMining":0.08558439655172413,"CSFDSKMovieReviewSentimentClassification":0.224512,"SiswatiNewsClassification":0.72,"CEDRClassification":0.362168,"TempReasonL1":0.01007,"BiorxivClusteringP2P.v2":0.432663,"NorwegianCourtsBitextMining":0.893275,"PunjabiNewsClassification":0.644586,"SpartQA":0.05459,"BUCC.v2":0.30307925,"BornholmBitextMining":0.279458,"BibleNLPBitextMining":0.01690312620772947,"SIB200ClusteringS2S":0.12751430964467003,"RTE3":0.8850560000000001,"TERRa":0.495896,"SwahiliNewsClassification":0.58042,"DBpediaClassification":0.849023,"HagridRetrieval":0.98694,"MultiHateClassification":0.5682454545454546,"WikiCitiesClustering":0.846638,"Tatoeba":0.08757812499999999,"STS14":0.816616,"KurdishSentimentClassification":0.595924,"PpcPC":0.782603,"STSBenchmark":0.853376,"MasakhaNEWSClusteringS2S":0.4102114375,"MIRACLRetrievalHardNegatives":0.052366666666666666,"NTREXBitextMining":0.262903262526096,"DalajClassification":0.500788,"SICK-R":0.81401,"NollySentiBitextMining":0.28893875,"SCIDOCS":0.04885,"BelebeleRetrieval":0.28515933510638297,"IsiZuluNewsClassification":0.253059,"TwitterHjerneRetrieval":0.2443,"STSB":0.377826,"STSES":0.756386,"KorSarcasmClassification":0.537109,"WinoGrande":0.1588,"SentimentAnalysisHindi":0.356106,"RuBQReranking":0.210757,"CyrillicTurkicLangClassification":0.605518,"FilipinoShopeeReviewsClassification":0.2912845,"STS22.v2":0.5478627777777778,"RomaniBibleClustering":0.373398,"MacedonianTweetSentimentClassification":0.349693,"AfriSentiClassification":0.40454433333333334,"STS12":0.807987,"LegalBenchCorporateLobbying":0.91588,"TweetTopicSingleClassification":0.740343,"MultiEURLEXMultilabelClassification":0.03223130434782608,"T2Reranking":0.579495,"GreekLegalCodeClassification":0.064551,"SlovakMovieReviewSentimentClassification":0.574756,"FaroeseSTS":0.664214,"SwissJudgementClassification":0.563249,"TwitterURLCorpus":0.840576,"TRECCOVID":0.38976,"IndicLangClassification":0.71606,"GujaratiNewsClassification":0.542413,"ItaCaseholdClassification":0.850226,"FloresBitextMining":0.19138576125277698,"Robust04InstructionRetrieval":-0.08248,"BulgarianStoreReviewSentimentClassfication":0.327473,"OdiaNewsClassification":0.599512,"TswanaNewsClassification":0.28768,"PlscClusteringP2P.v2":0.69305,"FinancialPhrasebankClassification":0.798675,"News21InstructionRetrieval":0.001837,"StackOverflowQA":0.7851,"Core17InstructionRetrieval":-0.020966,"WebLINXCandidatesReranking":0.08594766666666666,"PAC":0.6376773819866782,"VoyageMMarcoReranking":0.207103,"MedrxivClusteringP2P.v2":0.385244,"GermanSTSBenchmark":0.646012,"AlloprofReranking":0.617739,"AlloProfClusteringS2S.v2":0.399959,"ScalaClassification":0.50051275,"indonli":0.505233,"IN22GenBitextMining":0.10786644071146245,"CovidRetrieval":0.00533,"BigPatentClustering.v2":0.297858,"PawsXPairClassification":0.5290243571428571,"NusaXBitextMining":0.2769140909090909,"NusaParagraphEmotionClassification":0.3198081,"LEMBPasskeyRetrieval":0.36,"CTKFactsNLI":0.7057074999999999,"DiaBlaBitextMining":0.132382,"IndonesianIdClickbaitClassification":0.580328,"XNLI":0.6010672499999999},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":96,"model":{"name":"Gameselo/STS-multilingual-mpnet-base-v2","url":"https://huggingface.co/Gameselo/STS-multilingual-mpnet-base-v2","zeroShotPct":83,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2024-06-07","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":1061.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/paraphrase-multilingual-mpnet-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AlphaNLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","AskUbuntuDupQuestions","BIOSSES","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringS2S","CQADupstackRetrieval","ClimateFEVER","DBPedia","EmotionClassification","FEVER","FiQA2018","HotpotQA","ImdbClassification","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","MindSmallReranking","NFCorpus","NQ","QuoraRetrieval","RTE3","RedditClustering","RedditClusteringP2P","SCIDOCS","SICK-R","STS12","STS13","STS14","STS15","STS16","STS17","STS22","STSBenchmark","SciDocsRR","SciFact","SprintDuplicateQuestions","StackExchangeClustering","StackExchangeClusteringP2P","StackOverflowDupQuestions","SummEval","TRECCOVID","Touche2020","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwitterSemEval2015","TwitterURLCorpus"]},"zeroShotPct":83,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":0.4852074564960906,"meanTaskType":0.42383455904156303,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.019565999999999997,"MultilabelClassification":0.16626234782608695,"Classification":0.510239193455416,"Retrieval":0.34655726123970076,"Reranking":0.5000572916666667,"STS":0.7237207306383763,"Clustering":0.32381886870014503,"PairClassification":0.7871038452380952,"BitextMining":0.4763174926095803},"scoresByTask":{"SemRel24STS":0.5628870833333334,"FinParaSTS":0.2697395,"PolEmo2.0-OUT":0.22915,"JSICK":0.830754,"SwednClusteringP2P":0.2191565,"MalteseNewsClassification":0.077667,"CzechProductReviewSentimentClassification":0.500146,"STS13":0.977636,"IndicCrosslingualSTS":0.8476556666666667,"SprintDuplicateQuestions":0.915748,"WikipediaRerankingMultilingual":0.78790425,"EstonianValenceClassification":0.367482,"STS15":0.981124,"MLQARetrieval":0.5195688775510204,"HALClusteringS2S.v2":0.151333,"PoemSentimentClassification":0.4884615,"BrazilianToxicTweetsClassification":0.254736,"StatcanDialogueDatasetRetrieval":0.168235,"STS17":0.008798064972795824,"NordicLangClassification":0.3767,"ArXivHierarchicalClusteringP2P":0.515432,"NusaTranslationBitextMining":0.07072918181818182,"MassiveIntentClassification":0.5293405784313725,"CLSClusteringP2P.v2":0.266401,"WikipediaRetrievalMultilingual":0.677598125,"SinhalaNewsClassification":0.631445,"StackExchangeClustering.v2":0.397963,"MasakhaNEWSClassification":0.5131755,"NusaX-senti":0.46439583333333334,"CataloniaTweetClassification":0.43221575,"OpusparcusPC":0.9468570833333333,"ArmenianParaphrasePC":0.954796,"KorHateSpeechMLClassification":0.081001,"WikiClusteringP2P.v2":0.22765614285714286,"AmazonCounterfactualClassification":0.696718375,"ArXivHierarchicalClusteringS2S":0.49367,"NepaliNewsClassification":0.863086,"ArguAna":0.41501,"AILAStatutes":0.20007,"ToxicConversationsClassification":0.628027,"IndicGenBenchFloresBitextMining":0.797218948275862,"CSFDSKMovieReviewSentimentClassification":0.278662,"SiswatiNewsClassification":0.71,"CEDRClassification":0.387566,"TempReasonL1":0.01135,"BiorxivClusteringP2P.v2":0.213935,"NorwegianCourtsBitextMining":0.889912,"PunjabiNewsClassification":0.759873,"SpartQA":0.02701,"BUCC.v2":0.984037,"BornholmBitextMining":0.192095,"BibleNLPBitextMining":0.057131394323671494,"SIB200ClusteringS2S":0.13351575634517765,"RTE3":0.88218475,"TERRa":0.56872,"SwahiliNewsClassification":0.525537,"DBpediaClassification":0.734082,"HagridRetrieval":0.97581,"MultiHateClassification":0.6031181818181818,"WikiCitiesClustering":0.391394,"Tatoeba":0.5947872321428571,"STS14":0.975293,"KurdishSentimentClassification":0.746553,"PpcPC":0.929042,"STSBenchmark":0.009762486352335524,"MasakhaNEWSClusteringS2S":0.3340725,"MIRACLRetrievalHardNegatives":0.14131944444444444,"NTREXBitextMining":0.6186266790187891,"DalajClassification":0.498874,"SICK-R":0.946525,"NollySentiBitextMining":0.25251325,"SCIDOCS":0.09396,"BelebeleRetrieval":0.4575592553191489,"IsiZuluNewsClassification":0.22141,"TwitterHjerneRetrieval":0.40041,"STSB":0.9198569999999999,"STSES":0.715904,"KorSarcasmClassification":0.545459,"WinoGrande":0.44382,"SentimentAnalysisHindi":0.559706,"RuBQReranking":0.539317,"CyrillicTurkicLangClassification":0.369287,"FilipinoShopeeReviewsClassification":0.26855450000000003,"STS22.v2":0.6509693888888889,"RomaniBibleClustering":0.36893,"MacedonianTweetSentimentClassification":0.589816,"AfriSentiClassification":0.40768316666666665,"STS12":0.954619,"LegalBenchCorporateLobbying":0.76644,"TweetTopicSingleClassification":0.527939,"MultiEURLEXMultilabelClassification":0.030341739130434784,"T2Reranking":0.628741,"GreekLegalCodeClassification":0.3090575,"SlovakMovieReviewSentimentClassification":0.657129,"FaroeseSTS":0.973917,"SwissJudgementClassification":0.5292793333333333,"TwitterURLCorpus":0.850724,"TRECCOVID":0.28936,"IndicLangClassification":0.224183,"GujaratiNewsClassification":0.744158,"ItaCaseholdClassification":0.553394,"FloresBitextMining":0.33641576972858106,"Robust04InstructionRetrieval":-0.020505,"BulgarianStoreReviewSentimentClassfication":0.427473,"OdiaNewsClassification":0.711787,"TswanaNewsClassification":0.176591,"PlscClusteringP2P.v2":0.656563,"FinancialPhrasebankClassification":0.686882,"News21InstructionRetrieval":0.006503,"StackOverflowQA":0.26012,"Core17InstructionRetrieval":-0.044696,"WebLINXCandidatesReranking":0.0536225,"PAC":0.643093,"VoyageMMarcoReranking":0.385681,"MedrxivClusteringP2P.v2":0.272966,"GermanSTSBenchmark":0.9540905,"AlloprofReranking":0.605078,"AlloProfClusteringS2S.v2":0.318401,"ScalaClassification":0.5012695,"indonli":0.524363,"IN22GenBitextMining":0.5377320395256917,"CovidRetrieval":0.25289,"BigPatentClustering.v2":0.219713,"PawsXPairClassification":0.5388997857142857,"NusaXBitextMining":0.05260790909090909,"NusaParagraphEmotionClassification":0.1973376,"LEMBPasskeyRetrieval":0.1375,"CTKFactsNLI":0.7814425,"DiaBlaBitextMining":0.808321,"IndonesianIdClickbaitClassification":0.511754,"XNLI":0.7653651785714286},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","RTE3","SCIDOCS","SICK-R","STS12","STS13","STS14","STS15","STS17","STS22.v2","STSBenchmark","SprintDuplicateQuestions","StackExchangeClustering.v2","TRECCOVID","ToxicConversationsClassification","TwitterURLCorpus"],"experiments":null},{"rank":97,"model":{"name":"BAAI/bge-large-en-v1.5","url":"https://huggingface.co/BAAI/bge-large-en-v1.5","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-09-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":0.4507715931880931,"meanTaskType":0.3905513396527448,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.022854666666666662,"MultilabelClassification":0.17674415303793373,"Classification":0.4801599031385298,"Retrieval":0.38998102906400933,"Reranking":0.4883970993061592,"STS":0.6014078166065417,"Clustering":0.414204579738028,"PairClassification":0.720390603730333,"BitextMining":0.2665315389198349},"scoresByTask":{"SemRel24STS":0.3581120814755227,"FinParaSTS":0.08827194610588233,"PolEmo2.0-OUT":0.24129554655870447,"JSICK":0.6420348141703155,"SwednClusteringP2P":0.3144923102972488,"MalteseNewsClassification":0.240096,"CzechProductReviewSentimentClassification":0.451123046875,"STS13":0.8637060444136577,"IndicCrosslingualSTS":0.038852702700658895,"SprintDuplicateQuestions":0.9674942736590371,"WikipediaRerankingMultilingual":0.7375030257936508,"EstonianValenceClassification":0.2933985330073349,"STS15":0.8802952704872573,"MLQARetrieval":0.22989244897959185,"HALClusteringS2S.v2":0.26196699206865165,"PoemSentimentClassification":0.5363827838827839,"BrazilianToxicTweetsClassification":0.20459,"StatcanDialogueDatasetRetrieval":0.210055,"STS17":0.44452043373002526,"NordicLangClassification":0.5506666666666666,"ArXivHierarchicalClusteringP2P":0.6058357599909132,"NusaTranslationBitextMining":0.5933774881286132,"MassiveIntentClassification":0.28162007779376613,"CLSClusteringP2P.v2":0.18408571124333784,"WikipediaRetrievalMultilingual":0.590133125,"SinhalaNewsClassification":0.3904296875,"StackExchangeClustering.v2":0.5941857905540503,"MasakhaNEWSClassification":0.6284163020128597,"NusaX-senti":0.5710625,"CataloniaTweetClassification":0.478264279269786,"OpusparcusPC":0.8758947504675182,"ArmenianParaphrasePC":0.8688638880277008,"KorHateSpeechMLClassification":0.046441,"WikiClusteringP2P.v2":0.25497817529753936,"AmazonCounterfactualClassification":0.6514257083912395,"ArXivHierarchicalClusteringS2S":0.5873767879927723,"NepaliNewsClassification":0.390625,"ArguAna":0.64516,"AILAStatutes":0.23063,"ToxicConversationsClassification":0.66484375,"IndicGenBenchFloresBitextMining":0.05224940058750648,"CSFDSKMovieReviewSentimentClassification":0.21552734375,"SiswatiNewsClassification":0.5199999999999999,"CEDRClassification":0.3615302869287992,"TempReasonL1":0.01459,"BiorxivClusteringP2P.v2":0.4205574653405882,"NorwegianCourtsBitextMining":0.9049707602339181,"PunjabiNewsClassification":0.594904458598726,"SpartQA":0.02993,"BUCC.v2":0.2617676753906728,"BornholmBitextMining":0.3408574314574314,"BibleNLPBitextMining":0.015163998684138823,"SIB200ClusteringS2S":0.10883082953571561,"RTE3":0.8708430233267807,"TERRa":0.4755262351237274,"SwahiliNewsClassification":0.531396484375,"DBpediaClassification":0.8166015625,"HagridRetrieval":0.98769,"MultiHateClassification":0.5600727272727273,"WikiCitiesClustering":0.8122951122099706,"Tatoeba":0.07506780932351168,"STS14":0.8277810172031654,"KurdishSentimentClassification":0.5841469552088576,"PpcPC":0.6888377136354772,"STSBenchmark":0.875190636046235,"MasakhaNEWSClusteringS2S":0.39969681929197,"MIRACLRetrievalHardNegatives":0.18485555555555555,"NTREXBitextMining":0.21935157709929262,"DalajClassification":0.49898648648648647,"SICK-R":0.8168367384277421,"NollySentiBitextMining":0.2881107183934921,"SCIDOCS":0.2263,"BelebeleRetrieval":0.30672239361702125,"IsiZuluNewsClassification":0.2579787234042553,"TwitterHjerneRetrieval":0.14726,"STSB":0.4152787527044174,"STSES":0.7743412903673891,"KorSarcasmClassification":0.530810546875,"WinoGrande":0.19183,"SentimentAnalysisHindi":0.36129668399806836,"RuBQReranking":0.4766395487120344,"CyrillicTurkicLangClassification":0.6267578125,"FilipinoShopeeReviewsClassification":0.2943359375,"STS22.v2":0.4890619596097559,"RomaniBibleClustering":0.37699370660327347,"MacedonianTweetSentimentClassification":0.37655838454784896,"AfriSentiClassification":0.3831637563933368,"STS12":0.7904889235593613,"LegalBenchCorporateLobbying":0.90767,"TweetTopicSingleClassification":0.7190194920259894,"MultiEURLEXMultilabelClassification":0.031063478260869564,"T2Reranking":0.6306938175778142,"GreekLegalCodeClassification":0.05537109375,"SlovakMovieReviewSentimentClassification":0.560595703125,"FaroeseSTS":0.6458289770378548,"SwissJudgementClassification":0.5389150534944581,"TwitterURLCorpus":0.8560075039899073,"TRECCOVID":0.74696,"IndicLangClassification":0.3699454270497732,"GujaratiNewsClassification":0.4137329286798179,"ItaCaseholdClassification":0.7592760180995475,"FloresBitextMining":0.1491365345498998,"Robust04InstructionRetrieval":-0.052603,"BulgarianStoreReviewSentimentClassfication":0.35439560439560436,"OdiaNewsClassification":0.5503515914908438,"TswanaNewsClassification":0.26776180698151947,"PlscClusteringP2P.v2":0.6821459019779761,"FinancialPhrasebankClassification":0.8028710247349824,"News21InstructionRetrieval":0.003309,"StackOverflowQA":0.83072,"Core17InstructionRetrieval":-0.01927,"WebLINXCandidatesReranking":0.08674756692956341,"PAC":0.6087749782797568,"VoyageMMarcoReranking":0.3246532592589748,"MedrxivClusteringP2P.v2":0.363124446086602,"GermanSTSBenchmark":0.6719234776654263,"AlloprofReranking":0.6741453775649174,"AlloProfClusteringS2S.v2":0.39228808942727406,"ScalaClassification":0.501025390625,"indonli":0.47951576509266935,"IN22GenBitextMining":0.04798617392287465,"CovidRetrieval":0.17176,"BigPatentClustering.v2":0.2684193778905645,"PawsXPairClassification":0.5253292841574425,"NusaXBitextMining":0.27773529877602515,"NusaParagraphEmotionClassification":0.2801824579147131,"LEMBPasskeyRetrieval":0.3675,"CTKFactsNLI":0.7112882000885975,"DiaBlaBitextMining":0.23913513941047662,"IndonesianIdClickbaitClassification":0.5825655189413274,"XNLI":0.604696003464804},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":98,"model":{"name":"intfloat/e5-large","url":"https://huggingface.co/intfloat/e5-large","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2022-12-26","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":1278.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google-bert/bert-large-uncased-whole-word-masking","supersededBy":"intfloat/e5-large-v2","extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.023271,"MultilabelClassification":0.16305965217391305,"Classification":0.4816362497144841,"Retrieval":0.3850392515532612,"Reranking":0.44192500000000007,"Clustering":0.40624612103709656,"PairClassification":0.7347740621319452,"BitextMining":0.30560795020855164},"scoresByTask":{"SemRel24STS":0.3993960833333334,"FinParaSTS":0.1609355,"PolEmo2.0-OUT":0.235425,"JSICK":0.567301,"SwednClusteringP2P":0.2536955,"MalteseNewsClassification":0.247148,"CzechProductReviewSentimentClassification":0.451855,"STS13":0.8522240034668203,"IndicCrosslingualSTS":-0.01840325,"SprintDuplicateQuestions":0.9541507679819002,"WikipediaRerankingMultilingual":0.7507505,"EstonianValenceClassification":0.298778,"STS15":0.8881459873052109,"MLQARetrieval":0.23109520408163264,"HALClusteringS2S.v2":0.234878,"PoemSentimentClassification":0.5176875,"BrazilianToxicTweetsClassification":0.17915,"StatcanDialogueDatasetRetrieval":0.1232875,"NordicLangClassification":0.583033,"ArXivHierarchicalClusteringP2P":0.572224,"NusaTranslationBitextMining":0.6845511818181819,"MassiveIntentClassification":0.29222695098039214,"CLSClusteringP2P.v2":0.164937,"WikipediaRetrievalMultilingual":0.6048525,"SinhalaNewsClassification":0.365186,"StackExchangeClustering.v2":0.56889,"MasakhaNEWSClassification":0.6355073125,"NusaX-senti":0.5836041666666666,"CataloniaTweetClassification":0.47087425,"OpusparcusPC":0.8855614166666667,"ArmenianParaphrasePC":0.881363,"KorHateSpeechMLClassification":0.027393,"WikiClusteringP2P.v2":0.2530740714285714,"AmazonCounterfactualClassification":0.65604725,"ArXivHierarchicalClusteringS2S":0.572867,"NepaliNewsClassification":0.509229,"ArguAna":0.49352,"AILAStatutes":0.22899,"ToxicConversationsClassification":0.705592,"IndicGenBenchFloresBitextMining":0.055047508620689654,"CSFDSKMovieReviewSentimentClassification":0.224951,"SiswatiNewsClassification":0.45375,"CEDRClassification":0.331509,"TempReasonL1":0.01739,"BiorxivClusteringP2P.v2":0.392882,"NorwegianCourtsBitextMining":0.912281,"PunjabiNewsClassification":0.592357,"SpartQA":0.01745,"BUCC.v2":0.3243415,"BornholmBitextMining":0.40153,"BibleNLPBitextMining":0.026658323067632852,"SIB200ClusteringS2S":0.10105417766497461,"RTE3":0.8609395,"TERRa":0.473702,"SwahiliNewsClassification":0.501611,"DBpediaClassification":0.901514,"HagridRetrieval":0.98604,"MultiHateClassification":0.5475090909090908,"WikiCitiesClustering":0.850814,"Tatoeba":0.0979241875,"STS14":0.8054074646118492,"KurdishSentimentClassification":0.608505,"PpcPC":0.811887,"STSBenchmark":0.8721366640615442,"MasakhaNEWSClusteringS2S":0.3868061875,"MIRACLRetrievalHardNegatives":0.1648711111111111,"NTREXBitextMining":0.26013129488517744,"DalajClassification":0.498198,"SICK-R":0.8048508130408966,"NollySentiBitextMining":0.29739275,"SCIDOCS":0.20116999999999996,"BelebeleRetrieval":0.31265021276595745,"IsiZuluNewsClassification":0.261037,"TwitterHjerneRetrieval":0.08658,"STSB":0.419142,"STSES":0.769093,"KorSarcasmClassification":0.532275,"WinoGrande":0.50999,"SentimentAnalysisHindi":0.383928,"RuBQReranking":0.308314,"CyrillicTurkicLangClassification":0.570703,"FilipinoShopeeReviewsClassification":0.2756105,"STS22.v2":0.5592901666666666,"RomaniBibleClustering":0.387761,"MacedonianTweetSentimentClassification":0.317032,"AfriSentiClassification":0.4076743333333333,"STS12":0.7593057758003267,"LegalBenchCorporateLobbying":0.91608,"TweetTopicSingleClassification":0.693798,"MultiEURLEXMultilabelClassification":0.030098260869565217,"T2Reranking":0.597219,"GreekLegalCodeClassification":0.038891499999999996,"SlovakMovieReviewSentimentClassification":0.568799,"FaroeseSTS":0.686149,"SwissJudgementClassification":0.5286123333333334,"TwitterURLCorpus":0.8631476416599727,"TRECCOVID":0.78317,"IndicLangClassification":0.465172,"GujaratiNewsClassification":0.416388,"ItaCaseholdClassification":0.542534,"FloresBitextMining":0.18716888942818505,"Robust04InstructionRetrieval":-0.062499,"BulgarianStoreReviewSentimentClassfication":0.351648,"OdiaNewsClassification":0.591369,"TswanaNewsClassification":0.28768,"PlscClusteringP2P.v2":0.684753,"FinancialPhrasebankClassification":0.809717,"News21InstructionRetrieval":-0.009401,"StackOverflowQA":0.82847,"Core17InstructionRetrieval":0.002087,"WebLINXCandidatesReranking":0.08962350000000001,"PAC":0.675586,"VoyageMMarcoReranking":0.286305,"MedrxivClusteringP2P.v2":0.360874,"GermanSTSBenchmark":0.71297,"AlloprofReranking":0.619338,"AlloProfClusteringS2S.v2":0.390621,"ScalaClassification":0.49993875,"indonli":0.480264,"IN22GenBitextMining":0.06463599011857707,"CovidRetrieval":0.0401,"BigPatentClustering.v2":0.323807,"PawsXPairClassification":0.5366109285714286,"NusaXBitextMining":0.3337747272727273,"NusaParagraphEmotionClassification":0.2980278,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.723633,"DiaBlaBitextMining":0.327466,"IndonesianIdClickbaitClassification":0.560497,"XNLI":0.6112554285714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":99,"model":{"name":"intfloat/e5-base-v2","url":"https://huggingface.co/intfloat/e5-base-v2","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":418.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":0.4598175124288071,"meanTaskType":0.39331987343016717,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.039362666666666664,"MultilabelClassification":0.16064890917350866,"Classification":0.4945843246657775,"Retrieval":0.404927464808717,"Reranking":0.4750181430043469,"STS":0.6072819840435054,"Clustering":0.4009631070174877,"PairClassification":0.7262708963019432,"BitextMining":0.3095466985228846},"scoresByTask":{"SemRel24STS":0.4399229544265435,"FinParaSTS":0.15392875797454897,"PolEmo2.0-OUT":0.21052631578947367,"JSICK":0.7129048066992956,"SwednClusteringP2P":0.2680123459696884,"MalteseNewsClassification":0.19647366129734437,"CzechProductReviewSentimentClassification":0.4556640625,"STS13":0.8299690334443994,"IndicCrosslingualSTS":-0.01332694301463828,"SprintDuplicateQuestions":0.9425578233832086,"WikipediaRerankingMultilingual":0.7631734788359789,"EstonianValenceClassification":0.2965770171149144,"STS15":0.8818055224097616,"MLQARetrieval":0.24456714285714287,"HALClusteringS2S.v2":0.24289227449286271,"PoemSentimentClassification":0.522051282051282,"BrazilianToxicTweetsClassification":0.186181640625,"StatcanDialogueDatasetRetrieval":0.1596025,"STS17":0.41989804167357325,"NordicLangClassification":0.6078666666666667,"ArXivHierarchicalClusteringP2P":0.5796287997107757,"NusaTranslationBitextMining":0.73294374586137,"MassiveIntentClassification":0.3077228091864849,"CLSClusteringP2P.v2":0.19094154283590511,"WikipediaRetrievalMultilingual":0.615363125,"SinhalaNewsClassification":0.387548828125,"StackExchangeClustering.v2":0.5311466874767545,"MasakhaNEWSClassification":0.6273148524246869,"NusaX-senti":0.5958125,"CataloniaTweetClassification":0.47781415824619666,"OpusparcusPC":0.884786885502178,"ArmenianParaphrasePC":0.880724180828073,"KorHateSpeechMLClassification":0.04938635247913599,"WikiClusteringP2P.v2":0.24898247863216613,"AmazonCounterfactualClassification":0.6701691356225369,"ArXivHierarchicalClusteringS2S":0.5462964772346335,"NepaliNewsClassification":0.583251953125,"ArguAna":0.44568,"AILAStatutes":0.19609,"ToxicConversationsClassification":0.658740234375,"IndicGenBenchFloresBitextMining":0.07567712574767356,"CSFDSKMovieReviewSentimentClassification":0.227685546875,"SiswatiNewsClassification":0.47000000000000003,"CEDRClassification":0.3410733262486717,"TempReasonL1":0.01735,"BiorxivClusteringP2P.v2":0.3911946928392568,"NorwegianCourtsBitextMining":0.9261695906432749,"PunjabiNewsClassification":0.6,"SpartQA":0.07841,"BUCC.v2":0.28347241836862,"BornholmBitextMining":0.384923088023088,"BibleNLPBitextMining":0.020139059340378806,"SIB200ClusteringS2S":0.10039628740871737,"RTE3":0.8595278328131464,"TERRa":0.49063514687851495,"SwahiliNewsClassification":0.514501953125,"DBpediaClassification":0.893115234375,"HagridRetrieval":0.98698,"MultiHateClassification":0.5612090909090909,"WikiCitiesClustering":0.8629738933210734,"Tatoeba":0.0905515589029658,"STS14":0.8044585834356298,"KurdishSentimentClassification":0.5908907901358832,"PpcPC":0.7254084332039443,"STSBenchmark":0.854798891881189,"MasakhaNEWSClusteringS2S":0.41108121330809333,"MIRACLRetrievalHardNegatives":0.15045444444444445,"NTREXBitextMining":0.2768137162304641,"DalajClassification":0.49954954954954955,"SICK-R":0.7839807283202838,"NollySentiBitextMining":0.3317386931007994,"SCIDOCS":0.18681,"BelebeleRetrieval":0.3184071542553192,"IsiZuluNewsClassification":0.23563829787234045,"TwitterHjerneRetrieval":0.39628,"STSB":0.40406215949785546,"STSES":0.7676002181951239,"KorSarcasmClassification":0.5265625,"WinoGrande":0.46989,"SentimentAnalysisHindi":0.3918892540044135,"RuBQReranking":0.45350643601453516,"CyrillicTurkicLangClassification":0.647021484375,"FilipinoShopeeReviewsClassification":0.30241699218749996,"STS22.v2":0.5185138577960277,"RomaniBibleClustering":0.3851058761045007,"MacedonianTweetSentimentClassification":0.3769973661106233,"AfriSentiClassification":0.3771128253246499,"STS12":0.7348862196374729,"LegalBenchCorporateLobbying":0.91916,"TweetTopicSingleClassification":0.6996455995274662,"MultiEURLEXMultilabelClassification":0.030129565217391307,"T2Reranking":0.6049986055137735,"GreekLegalCodeClassification":0.0669921875,"SlovakMovieReviewSentimentClassification":0.567626953125,"FaroeseSTS":0.7022820299315986,"SwissJudgementClassification":0.5468375570864121,"TwitterURLCorpus":0.8666483900596083,"TRECCOVID":0.69633,"IndicLangClassification":0.5030179498980867,"GujaratiNewsClassification":0.43710166919575116,"ItaCaseholdClassification":0.6927601809954751,"FloresBitextMining":0.19416503600278381,"Robust04InstructionRetrieval":-0.06808,"BulgarianStoreReviewSentimentClassfication":0.43681318681318676,"OdiaNewsClassification":0.5768405598409225,"TswanaNewsClassification":0.2570841889117043,"PlscClusteringP2P.v2":0.6708641241339651,"FinancialPhrasebankClassification":0.8292402826855124,"News21InstructionRetrieval":-0.020822,"StackOverflowQA":0.87849,"Core17InstructionRetrieval":-0.029186,"WebLINXCandidatesReranking":0.0643551971221117,"PAC":0.6806255430060817,"VoyageMMarcoReranking":0.30998197088493534,"MedrxivClusteringP2P.v2":0.3553594605417122,"GermanSTSBenchmark":0.720826882387422,"AlloprofReranking":0.654093169654747,"AlloProfClusteringS2S.v2":0.3613314123735414,"ScalaClassification":0.50152587890625,"indonli":0.4803616247335078,"IN22GenBitextMining":0.08854841653315136,"CovidRetrieval":0.14883,"BigPatentClustering.v2":0.2692021458961568,"PawsXPairClassification":0.5155489181356151,"NusaXBitextMining":0.3456763136461109,"NusaParagraphEmotionClassification":0.28910273387230656,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7249564699964335,"DiaBlaBitextMining":0.27328831839681844,"IndonesianIdClickbaitClassification":0.5662607891929815,"XNLI":0.6178241537871462},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":100,"model":{"name":"Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet","zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-06-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":null,"memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":0.49694005709648925,"meanTaskType":0.431235785500687,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.011884666666666667,"MultilabelClassification":0.14905558260869564,"Classification":0.5309777956892799,"Retrieval":0.3506160130070547,"Reranking":0.5112600520833334,"STS":0.6923525658875975,"Clustering":0.3762742613844951,"PairClassification":0.7956577413419914,"BitextMining":0.4868127241704011},"scoresByTask":{"SemRel24STS":0.57739475,"FinParaSTS":0.278687,"PolEmo2.0-OUT":0.256883,"JSICK":0.751148,"SwednClusteringP2P":0.2110355,"MalteseNewsClassification":0.072834,"CzechProductReviewSentimentClassification":0.508252,"STS13":0.7958989311630421,"IndicCrosslingualSTS":0.2804238333333333,"SprintDuplicateQuestions":0.89785,"WikipediaRerankingMultilingual":0.8113543125,"EstonianValenceClassification":0.377506,"STS15":0.8621134464371615,"MLQARetrieval":0.5416164285714286,"HALClusteringS2S.v2":0.198242,"PoemSentimentClassification":0.46415249999999997,"BrazilianToxicTweetsClassification":0.18501,"StatcanDialogueDatasetRetrieval":0.0728,"STS17":0.8027092727272728,"NordicLangClassification":0.394767,"ArXivHierarchicalClusteringP2P":0.526815,"NusaTranslationBitextMining":0.45384763636363634,"MassiveIntentClassification":0.5451980294117648,"CLSClusteringP2P.v2":0.358156,"WikipediaRetrievalMultilingual":0.67368375,"SinhalaNewsClassification":0.583398,"StackExchangeClustering.v2":0.483682,"MasakhaNEWSClassification":0.5329053125,"NusaX-senti":0.5848125000000001,"CataloniaTweetClassification":0.44379575,"OpusparcusPC":0.9393908333333334,"ArmenianParaphrasePC":0.94091,"KorHateSpeechMLClassification":0.071478,"WikiClusteringP2P.v2":0.23153557142857142,"AmazonCounterfactualClassification":0.7175345,"ArXivHierarchicalClusteringS2S":0.516348,"NepaliNewsClassification":0.869141,"ArguAna":0.40791,"AILAStatutes":0.18375,"ToxicConversationsClassification":0.617285,"IndicGenBenchFloresBitextMining":0.6316757931034483,"CSFDSKMovieReviewSentimentClassification":0.264258,"SiswatiNewsClassification":0.74875,"CEDRClassification":0.392242,"TempReasonL1":0.01218,"BiorxivClusteringP2P.v2":0.335766,"NorwegianCourtsBitextMining":0.84576,"PunjabiNewsClassification":0.8,"SpartQA":0.04966,"BUCC.v2":0.9750105,"BornholmBitextMining":0.199516,"BibleNLPBitextMining":0.05195976811594203,"SIB200ClusteringS2S":0.17920654822335028,"RTE3":0.87683175,"TERRa":0.59587,"SwahiliNewsClassification":0.529541,"DBpediaClassification":0.867139,"HagridRetrieval":0.97729,"MultiHateClassification":0.5957272727272728,"WikiCitiesClustering":0.672536,"Tatoeba":0.5857169196428572,"STS14":0.7978614320477877,"KurdishSentimentClassification":0.768344,"PpcPC":0.916933,"STSBenchmark":0.843492527221498,"MasakhaNEWSClusteringS2S":0.3400455625,"MIRACLRetrievalHardNegatives":0.22133555555555554,"NTREXBitextMining":0.5661117724425887,"DalajClassification":0.498649,"SICK-R":0.7961914245705792,"NollySentiBitextMining":0.24273625000000001,"SCIDOCS":0.10929,"BelebeleRetrieval":0.4506325,"IsiZuluNewsClassification":0.230053,"TwitterHjerneRetrieval":0.27171,"STSB":0.798867,"STSES":0.71709,"KorSarcasmClassification":0.566846,"WinoGrande":0.4282,"SentimentAnalysisHindi":0.589957,"RuBQReranking":0.550344,"CyrillicTurkicLangClassification":0.409961,"FilipinoShopeeReviewsClassification":0.274536,"STS22.v2":0.5999809444444444,"RomaniBibleClustering":0.384134,"MacedonianTweetSentimentClassification":0.5964,"AfriSentiClassification":0.3952659166666667,"STS12":0.7738689922564416,"LegalBenchCorporateLobbying":0.83911,"TweetTopicSingleClassification":0.591731,"MultiEURLEXMultilabelClassification":0.023713913043478262,"T2Reranking":0.65625,"GreekLegalCodeClassification":0.2686035,"SlovakMovieReviewSentimentClassification":0.616895,"FaroeseSTS":0.595809,"SwissJudgementClassification":0.5334343333333333,"TwitterURLCorpus":0.847153,"TRECCOVID":0.30658,"IndicLangClassification":0.289148,"GujaratiNewsClassification":0.728907,"ItaCaseholdClassification":0.647059,"FloresBitextMining":0.28655030616729454,"Robust04InstructionRetrieval":-0.046403,"BulgarianStoreReviewSentimentClassfication":0.493407,"OdiaNewsClassification":0.715526,"TswanaNewsClassification":0.185832,"PlscClusteringP2P.v2":0.705807,"FinancialPhrasebankClassification":0.720716,"News21InstructionRetrieval":0.002778,"StackOverflowQA":0.31124,"Core17InstructionRetrieval":0.007971,"WebLINXCandidatesReranking":0.054898999999999996,"PAC":0.659427,"VoyageMMarcoReranking":0.399317,"MedrxivClusteringP2P.v2":0.315893,"GermanSTSBenchmark":0.8061045,"AlloprofReranking":0.595396,"AlloProfClusteringS2S.v2":0.341071,"ScalaClassification":0.5000125,"indonli":0.574154,"IN22GenBitextMining":0.30602846837944664,"CovidRetrieval":0.3666,"BigPatentClustering.v2":0.220115,"PawsXPairClassification":0.525174,"NusaXBitextMining":0.38732500000000003,"NusaParagraphEmotionClassification":0.2938831,"LEMBPasskeyRetrieval":0.08750000000000001,"CTKFactsNLI":0.8273744999999999,"DiaBlaBitextMining":0.796327,"IndonesianIdClickbaitClassification":0.556406,"XNLI":0.8105940714285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":101,"model":{"name":"Cohere/Cohere-embed-english-light-v3.0","url":"https://cohere.com/blog/introducing-embed-v3","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-11-02","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.013906,"MultilabelClassification":0.16420561739130435,"Classification":0.48892114641731965,"Retrieval":0.41775034128022764,"Reranking":0.48025647916666675,"Clustering":0.4040334794404913,"PairClassification":0.7203849121405375,"BitextMining":0.26095185886046707},"scoresByTask":{"SemRel24STS":0.3921791666666667,"FinParaSTS":0.198546,"PolEmo2.0-OUT":0.267814,"JSICK":0.670899,"SwednClusteringP2P":0.2537815,"MalteseNewsClassification":0.22007,"CzechProductReviewSentimentClassification":0.446875,"STS13":0.8287639489647018,"IndicCrosslingualSTS":0.04158216666666667,"SprintDuplicateQuestions":0.9659150882873164,"WikipediaRerankingMultilingual":0.746137375,"EstonianValenceClassification":0.293276,"STS15":0.8697688974734349,"MLQARetrieval":0.21793602040816326,"HALClusteringS2S.v2":0.201868,"PoemSentimentClassification":0.504336,"BrazilianToxicTweetsClassification":0.193213,"StatcanDialogueDatasetRetrieval":0.204975,"NordicLangClassification":0.551,"ArXivHierarchicalClusteringP2P":0.60552,"NusaTranslationBitextMining":0.6764028181818182,"MassiveIntentClassification":0.30336955882352945,"CLSClusteringP2P.v2":0.1684,"WikipediaRetrievalMultilingual":0.560791875,"SinhalaNewsClassification":0.355811,"StackExchangeClustering.v2":0.574865,"MasakhaNEWSClassification":0.6397375,"NusaX-senti":0.5802291666666667,"CataloniaTweetClassification":0.46552975,"OpusparcusPC":0.8720440833333334,"ArmenianParaphrasePC":0.873675,"KorHateSpeechMLClassification":0.029553,"WikiClusteringP2P.v2":0.24323857142857142,"AmazonCounterfactualClassification":0.684869375,"ArXivHierarchicalClusteringS2S":0.56104,"NepaliNewsClassification":0.544629,"ArguAna":0.50806,"AILAStatutes":0.25724,"ToxicConversationsClassification":0.730414,"IndicGenBenchFloresBitextMining":0.03296460344827586,"CSFDSKMovieReviewSentimentClassification":0.22373,"SiswatiNewsClassification":0.60875,"CEDRClassification":0.351966,"TempReasonL1":0.01441,"BiorxivClusteringP2P.v2":0.419052,"NorwegianCourtsBitextMining":0.921053,"PunjabiNewsClassification":0.63949,"SpartQA":0.03662,"BUCC.v2":0.20879575,"BornholmBitextMining":0.338169,"BibleNLPBitextMining":0.017024594806763285,"SIB200ClusteringS2S":0.08593897461928933,"RTE3":0.8602795,"TERRa":0.44986,"SwahiliNewsClassification":0.511572,"DBpediaClassification":0.910791,"HagridRetrieval":0.98632,"MultiHateClassification":0.5481545454545454,"WikiCitiesClustering":0.842026,"Tatoeba":0.058902660714285716,"STS14":0.7974024708732993,"KurdishSentimentClassification":0.561047,"PpcPC":0.720014,"STSBenchmark":0.8657651994952795,"MasakhaNEWSClusteringS2S":0.380344625,"MIRACLRetrievalHardNegatives":0.18616944444444444,"NTREXBitextMining":0.20778471189979122,"DalajClassification":0.498536,"SICK-R":0.7965240734965129,"NollySentiBitextMining":0.27723625,"SCIDOCS":0.18098,"BelebeleRetrieval":0.29534380319148934,"IsiZuluNewsClassification":0.260904,"TwitterHjerneRetrieval":0.32422,"STSB":0.42017950000000004,"STSES":0.738418,"KorSarcasmClassification":0.546045,"WinoGrande":0.62405,"SentimentAnalysisHindi":0.388811,"RuBQReranking":0.439396,"CyrillicTurkicLangClassification":0.640283,"FilipinoShopeeReviewsClassification":0.315161,"STS22.v2":0.49827033333333337,"RomaniBibleClustering":0.376413,"MacedonianTweetSentimentClassification":0.372256,"AfriSentiClassification":0.38640041666666664,"STS12":0.726022866501722,"LegalBenchCorporateLobbying":0.91552,"TweetTopicSingleClassification":0.702363,"MultiEURLEXMultilabelClassification":0.026226086956521736,"T2Reranking":0.634606,"GreekLegalCodeClassification":0.029443499999999997,"SlovakMovieReviewSentimentClassification":0.554053,"FaroeseSTS":0.693698,"SwissJudgementClassification":0.5477923333333333,"TwitterURLCorpus":0.8631913976395483,"TRECCOVID":0.79364,"IndicLangClassification":0.463956,"GujaratiNewsClassification":0.396737,"ItaCaseholdClassification":0.60362,"FloresBitextMining":0.13530620498889212,"Robust04InstructionRetrieval":-0.052235,"BulgarianStoreReviewSentimentClassfication":0.347802,"OdiaNewsClassification":0.544014,"TswanaNewsClassification":0.273922,"PlscClusteringP2P.v2":0.645041,"FinancialPhrasebankClassification":0.784585,"News21InstructionRetrieval":-0.005754,"StackOverflowQA":0.81777,"Core17InstructionRetrieval":0.016271,"WebLINXCandidatesReranking":0.07864149999999999,"PAC":0.641326,"VoyageMMarcoReranking":0.34076,"MedrxivClusteringP2P.v2":0.402191,"GermanSTSBenchmark":0.6531039999999999,"AlloprofReranking":0.641998,"AlloProfClusteringS2S.v2":0.305767,"ScalaClassification":0.49970725,"indonli":0.479021,"IN22GenBitextMining":0.0549214347826087,"CovidRetrieval":0.23796,"BigPatentClustering.v2":0.399049,"PawsXPairClassification":0.522923,"NusaXBitextMining":0.29720163636363633,"NusaParagraphEmotionClassification":0.29315389999999997,"LEMBPasskeyRetrieval":0.3575,"CTKFactsNLI":0.7253700000000001,"DiaBlaBitextMining":0.16661150000000002,"IndonesianIdClickbaitClassification":0.561313,"XNLI":0.5919409642857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":102,"model":{"name":"avsolatorio/GIST-Embedding-v0","url":"https://huggingface.co/avsolatorio/GIST-Embedding-v0","zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-01-31","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{solatorio2024gistembed,\n title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},\n author={Aivin V. Solatorio},\n journal={arXiv preprint arXiv:2402.16829},\n year={2024},\n URL={https://arxiv.org/abs/2402.16829}\n eprint={2402.16829},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}","memoryUsageMb":418.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-large-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","Banking77Classification","DuRetrieval","EmotionClassification","ImdbClassification","MLQARetrieval","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","NQ","NQ-NL","NQHardNegatives","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03349,"MultilabelClassification":0.16705609245483527,"Classification":0.47883810568492724,"Retrieval":0.38452862587479836,"Reranking":0.45636232938873017,"Clustering":0.4226084393412346,"PairClassification":0.7170405357032513,"BitextMining":0.24379269570151893},"scoresByTask":{"SemRel24STS":0.42567283333333333,"FinParaSTS":0.106949,"PolEmo2.0-OUT":0.269231,"JSICK":0.628,"SwednClusteringP2P":0.285746,"MalteseNewsClassification":0.241184,"CzechProductReviewSentimentClassification":0.430566,"STS13":0.8784898360302155,"IndicCrosslingualSTS":0.04236675,"SprintDuplicateQuestions":0.9597587114452257,"WikipediaRerankingMultilingual":0.726451875,"EstonianValenceClassification":0.293888,"STS15":0.8942976214499576,"MLQARetrieval":0.20389142857142856,"HALClusteringS2S.v2":0.25591,"PoemSentimentClassification":0.5124405,"BrazilianToxicTweetsClassification":0.19751,"StatcanDialogueDatasetRetrieval":0.24329,"NordicLangClassification":0.530067,"ArXivHierarchicalClusteringP2P":0.595916,"NusaTranslationBitextMining":0.6202960909090909,"MassiveIntentClassification":0.284903637254902,"CLSClusteringP2P.v2":0.216823,"WikipediaRetrievalMultilingual":0.517049375,"SinhalaNewsClassification":0.363184,"StackExchangeClustering.v2":0.611531,"MasakhaNEWSClassification":0.6333430625,"NusaX-senti":0.5659791666666667,"CataloniaTweetClassification":0.48271825,"OpusparcusPC":0.8709779166666666,"ArmenianParaphrasePC":0.867059,"KorHateSpeechMLClassification":0.039421,"WikiClusteringP2P.v2":0.2564194285714286,"AmazonCounterfactualClassification":0.661149375,"ArXivHierarchicalClusteringS2S":0.587499,"NepaliNewsClassification":0.427539,"ArguAna":0.6262,"AILAStatutes":0.27536,"ToxicConversationsClassification":0.724186,"IndicGenBenchFloresBitextMining":0.035503887931034483,"CSFDSKMovieReviewSentimentClassification":0.217041,"SiswatiNewsClassification":0.49375,"CEDRClassification":0.3324654622741764,"TempReasonL1":0.01224,"BiorxivClusteringP2P.v2":0.42258,"NorwegianCourtsBitextMining":0.903509,"PunjabiNewsClassification":0.599363,"SpartQA":0.02637,"BUCC.v2":0.195733,"BornholmBitextMining":0.276012,"BibleNLPBitextMining":0.016144811594202897,"SIB200ClusteringS2S":0.10652472588832487,"RTE3":0.85995725,"TERRa":0.4829227722891509,"SwahiliNewsClassification":0.52251,"DBpediaClassification":0.822119,"HagridRetrieval":0.98781,"MultiHateClassification":0.5461636363636363,"WikiCitiesClustering":0.875305,"Tatoeba":0.06394013928145162,"STS14":0.8338989083933329,"KurdishSentimentClassification":0.574987,"PpcPC":0.663789,"STSBenchmark":0.8732401087204754,"MasakhaNEWSClusteringS2S":0.408743875,"MIRACLRetrievalHardNegatives":0.1294161111111111,"NTREXBitextMining":0.19572562473903965,"DalajClassification":0.502928,"SICK-R":0.8128563534883214,"NollySentiBitextMining":0.28215325,"SCIDOCS":0.23469,"BelebeleRetrieval":0.2935283510638298,"IsiZuluNewsClassification":0.234043,"TwitterHjerneRetrieval":0.13799,"STSB":0.470692,"STSES":0.720844,"KorSarcasmClassification":0.518213,"WinoGrande":0.40046,"SentimentAnalysisHindi":0.377713,"RuBQReranking":0.36595660133238134,"CyrillicTurkicLangClassification":0.63916,"FilipinoShopeeReviewsClassification":0.3000485,"STS22.v2":0.502682111111111,"RomaniBibleClustering":0.377318,"MacedonianTweetSentimentClassification":0.360404,"AfriSentiClassification":0.37762333333333337,"STS12":0.76155337187325,"LegalBenchCorporateLobbying":0.92662,"TweetTopicSingleClassification":0.726048,"MultiEURLEXMultilabelClassification":0.024700000000000003,"T2Reranking":0.610747,"GreekLegalCodeClassification":0.027612,"SlovakMovieReviewSentimentClassification":0.562158,"FaroeseSTS":0.639209,"SwissJudgementClassification":0.5341313333333334,"TwitterURLCorpus":0.8610715280490069,"TRECCOVID":0.69603,"IndicLangClassification":0.404146,"GujaratiNewsClassification":0.412974,"ItaCaseholdClassification":0.655204,"FloresBitextMining":0.138177277214334,"Robust04InstructionRetrieval":-0.063938,"BulgarianStoreReviewSentimentClassfication":0.378022,"OdiaNewsClassification":0.569461,"TswanaNewsClassification":0.283573,"PlscClusteringP2P.v2":0.703912,"FinancialPhrasebankClassification":0.815901,"News21InstructionRetrieval":-0.007944,"StackOverflowQA":0.81159,"Core17InstructionRetrieval":-0.028588,"WebLINXCandidatesReranking":0.0850765,"PAC":0.600319,"VoyageMMarcoReranking":0.308409,"MedrxivClusteringP2P.v2":0.375789,"GermanSTSBenchmark":0.668669,"AlloprofReranking":0.641533,"AlloProfClusteringS2S.v2":0.359073,"ScalaClassification":0.5015992499999999,"indonli":0.483465,"IN22GenBitextMining":0.04814859881422925,"CovidRetrieval":0.18898,"BigPatentClustering.v2":0.322645,"PawsXPairClassification":0.5348907857142857,"NusaXBitextMining":0.2611213636363636,"NusaParagraphEmotionClassification":0.2962065,"LEMBPasskeyRetrieval":0.21,"CTKFactsNLI":0.703931,"DiaBlaBitextMining":0.13284,"IndonesianIdClickbaitClassification":0.557422,"XNLI":0.5996229285714286},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":103,"model":{"name":"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2","url":"https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2","zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2019-11-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Armenian","Bulgarian","Burmese","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Indonesian","Italian","Japanese","Korean","Kurdish","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Marathi","Modern Greek (1453-)","Mongolian","Norwegian Bokmål","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swedish","Thai","Turkish","Ukrainian","Urdu","Vietnamese"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":0.4873035013858454,"meanTaskType":0.4236984399786656,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.013123878201460252,"MultilabelClassification":0.14930328821656538,"Classification":0.516568888283686,"Retrieval":0.36614971495178056,"Reranking":0.5097238693264449,"STS":0.6658195256699465,"Clustering":0.38329314568609923,"PairClassification":0.7899287121463505,"BitextMining":0.445622693728577},"scoresByTask":{"SemRel24STS":0.4780921542631211,"FinParaSTS":0.23206666484404181,"PolEmo2.0-OUT":0.28663967611336033,"JSICK":0.6919120650023513,"SwednClusteringP2P":0.27218829152813295,"MalteseNewsClassification":0.08528515454941227,"CzechProductReviewSentimentClassification":0.513427734375,"STS13":0.8069594195489891,"IndicCrosslingualSTS":0.19788971420337967,"SprintDuplicateQuestions":0.9114959431815378,"WikipediaRerankingMultilingual":0.7850792824074073,"EstonianValenceClassification":0.3875305623471883,"STS15":0.858377178673668,"MLQARetrieval":0.5702107142857143,"HALClusteringS2S.v2":0.2349852586140488,"PoemSentimentClassification":0.45841575091575093,"BrazilianToxicTweetsClassification":0.200537109375,"StatcanDialogueDatasetRetrieval":0.1551125,"STS17":0.814449612140821,"NordicLangClassification":0.42519999999999997,"ArXivHierarchicalClusteringP2P":0.5361794435755446,"NusaTranslationBitextMining":0.3737318739652382,"MassiveIntentClassification":0.5164298806042713,"CLSClusteringP2P.v2":0.3613216103048282,"WikipediaRetrievalMultilingual":0.645405,"SinhalaNewsClassification":0.49384765625,"StackExchangeClustering.v2":0.43471709937699465,"MasakhaNEWSClassification":0.5240296641260579,"NusaX-senti":0.5736458333333333,"CataloniaTweetClassification":0.45505,"OpusparcusPC":0.9385251838230301,"ArmenianParaphrasePC":0.935202064558111,"KorHateSpeechMLClassification":0.054590083456062845,"WikiClusteringP2P.v2":0.23476647804639497,"AmazonCounterfactualClassification":0.6807564562919773,"ArXivHierarchicalClusteringS2S":0.5224573621152333,"NepaliNewsClassification":0.770703125,"ArguAna":0.44878,"AILAStatutes":0.20525,"ToxicConversationsClassification":0.60126953125,"IndicGenBenchFloresBitextMining":0.517781516608073,"CSFDSKMovieReviewSentimentClassification":0.272705078125,"SiswatiNewsClassification":0.6737500000000001,"CEDRClassification":0.37763018065887355,"TempReasonL1":0.01432,"BiorxivClusteringP2P.v2":0.36183432722474873,"NorwegianCourtsBitextMining":0.8241228070175439,"PunjabiNewsClassification":0.6872611464968152,"SpartQA":0.04938,"BUCC.v2":0.9690364161894831,"BornholmBitextMining":0.19671528822055137,"BibleNLPBitextMining":0.0481067333912658,"SIB200ClusteringS2S":0.1939446072915212,"RTE3":0.8841697304085178,"TERRa":0.5855563164758582,"SwahiliNewsClassification":0.43349609375,"DBpediaClassification":0.851025390625,"HagridRetrieval":0.97958,"MultiHateClassification":0.5897363636363636,"WikiCitiesClustering":0.5860680771370187,"Tatoeba":0.5662915789757399,"STS14":0.7885313504683503,"KurdishSentimentClassification":0.8028686462003021,"PpcPC":0.9236653149841323,"STSBenchmark":0.8441678852971709,"MasakhaNEWSClusteringS2S":0.3382036145121526,"MIRACLRetrievalHardNegatives":0.2377438888888889,"NTREXBitextMining":0.49966456477912763,"DalajClassification":0.5011261261261262,"SICK-R":0.7960669235249621,"NollySentiBitextMining":0.2315320416181205,"SCIDOCS":0.13778,"BelebeleRetrieval":0.45311276595744676,"IsiZuluNewsClassification":0.20478723404255322,"TwitterHjerneRetrieval":0.18721,"STSB":0.8075013537387945,"STSES":0.730132586284384,"KorSarcasmClassification":0.557080078125,"WinoGrande":0.46517,"SentimentAnalysisHindi":0.5861909658086787,"RuBQReranking":0.5279721446203545,"CyrillicTurkicLangClassification":0.323828125,"FilipinoShopeeReviewsClassification":0.2605224609375,"STS22.v2":0.5669646259124438,"RomaniBibleClustering":0.37421743591836465,"MacedonianTweetSentimentClassification":0.6205443371378403,"AfriSentiClassification":0.37672740295538326,"STS12":0.7602134324654332,"LegalBenchCorporateLobbying":0.88511,"TweetTopicSingleClassification":0.6511518015357354,"MultiEURLEXMultilabelClassification":0.028473913043478263,"T2Reranking":0.6527930543542254,"GreekLegalCodeClassification":0.297314453125,"SlovakMovieReviewSentimentClassification":0.631982421875,"FaroeseSTS":0.47293943188031634,"SwissJudgementClassification":0.5234760991033393,"TwitterURLCorpus":0.8383014551116796,"TRECCOVID":0.39345,"IndicLangClassification":0.2772240120980998,"GujaratiNewsClassification":0.7687405159332322,"ItaCaseholdClassification":0.5452488687782805,"FloresBitextMining":0.273070514609292,"Robust04InstructionRetrieval":-0.029433759968069153,"BulgarianStoreReviewSentimentClassfication":0.4769230769230769,"OdiaNewsClassification":0.7014107598037894,"TswanaNewsClassification":0.18644763860369612,"PlscClusteringP2P.v2":0.7025250257612787,"FinancialPhrasebankClassification":0.7396643109540636,"News21InstructionRetrieval":-0.0037183018817733317,"StackOverflowQA":0.37943,"Core17InstructionRetrieval":-0.006219572754538268,"WebLINXCandidatesReranking":0.06645687686773495,"PAC":0.657486243845931,"VoyageMMarcoReranking":0.40179803574703865,"MedrxivClusteringP2P.v2":0.3474628627190173,"GermanSTSBenchmark":0.8068480124709163,"AlloprofReranking":0.6242438219619088,"AlloProfClusteringS2S.v2":0.4045121324528272,"ScalaClassification":0.50113525390625,"indonli":0.5578666250475282,"IN22GenBitextMining":0.17794478508891043,"CovidRetrieval":0.30115,"BigPatentClustering.v2":0.22730670439948125,"PawsXPairClassification":0.5236265993308434,"NusaXBitextMining":0.3375617448605121,"NusaParagraphEmotionClassification":0.28090422092665335,"LEMBPasskeyRetrieval":0.0825,"CTKFactsNLI":0.7948898019153445,"DiaBlaBitextMining":0.7775351531476424,"IndonesianIdClickbaitClassification":0.5447571992128452,"XNLI":0.7959167987732727},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":104,"model":{"name":"thenlper/gte-large","url":"https://huggingface.co/thenlper/gte-large","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-07-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":639.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.012887333333333334,"MultilabelClassification":0.17914355652173913,"Classification":0.4761348745004767,"Retrieval":0.38231982468351805,"Reranking":0.4886979270833333,"Clustering":0.4138706163915201,"PairClassification":0.7173970519861403,"BitextMining":0.26228015684639927},"scoresByTask":{"SemRel24STS":0.3761818333333333,"FinParaSTS":0.1158815,"PolEmo2.0-OUT":0.213968,"JSICK":0.646186,"SwednClusteringP2P":0.2948515,"MalteseNewsClassification":0.237745,"CzechProductReviewSentimentClassification":0.446094,"STS13":0.881099866206877,"IndicCrosslingualSTS":0.015148999999999998,"SprintDuplicateQuestions":0.9574716566563773,"WikipediaRerankingMultilingual":0.7406230625,"EstonianValenceClassification":0.296577,"STS15":0.8892791680286954,"MLQARetrieval":0.23400704081632653,"HALClusteringS2S.v2":0.255711,"PoemSentimentClassification":0.5401644999999999,"BrazilianToxicTweetsClassification":0.221484,"StatcanDialogueDatasetRetrieval":0.08951250000000001,"NordicLangClassification":0.553933,"ArXivHierarchicalClusteringP2P":0.586399,"NusaTranslationBitextMining":0.5967731818181818,"MassiveIntentClassification":0.27702189215686274,"CLSClusteringP2P.v2":0.206409,"WikipediaRetrievalMultilingual":0.587901875,"SinhalaNewsClassification":0.356104,"StackExchangeClustering.v2":0.603187,"MasakhaNEWSClassification":0.63437075,"NusaX-senti":0.543125,"CataloniaTweetClassification":0.48432224999999995,"OpusparcusPC":0.872385,"ArmenianParaphrasePC":0.843303,"KorHateSpeechMLClassification":0.046048,"WikiClusteringP2P.v2":0.2529334285714286,"AmazonCounterfactualClassification":0.640996625,"ArXivHierarchicalClusteringS2S":0.585197,"NepaliNewsClassification":0.405713,"ArguAna":0.57158,"AILAStatutes":0.23233,"ToxicConversationsClassification":0.7055579999999999,"IndicGenBenchFloresBitextMining":0.03543701724137931,"CSFDSKMovieReviewSentimentClassification":0.215039,"SiswatiNewsClassification":0.44125,"CEDRClassification":0.360946,"TempReasonL1":0.01617,"BiorxivClusteringP2P.v2":0.410188,"NorwegianCourtsBitextMining":0.903509,"PunjabiNewsClassification":0.564331,"SpartQA":0.01696,"BUCC.v2":0.26039075,"BornholmBitextMining":0.339581,"BibleNLPBitextMining":0.02107204770531401,"SIB200ClusteringS2S":0.1114367461928934,"RTE3":0.8596635,"TERRa":0.484838,"SwahiliNewsClassification":0.524463,"DBpediaClassification":0.821436,"HagridRetrieval":0.98673,"MultiHateClassification":0.5534636363636364,"WikiCitiesClustering":0.849984,"Tatoeba":0.07015414285714286,"STS14":0.8266200957916445,"KurdishSentimentClassification":0.585355,"PpcPC":0.694578,"STSBenchmark":0.8607166710670507,"MasakhaNEWSClusteringS2S":0.3995001875,"MIRACLRetrievalHardNegatives":0.16405444444444445,"NTREXBitextMining":0.2103113919624217,"DalajClassification":0.496622,"SICK-R":0.7980930790660699,"NollySentiBitextMining":0.29438725,"SCIDOCS":0.23440000000000003,"BelebeleRetrieval":0.3232109840425532,"IsiZuluNewsClassification":0.246543,"TwitterHjerneRetrieval":0.23332,"STSB":0.44546949999999996,"STSES":0.737066,"KorSarcasmClassification":0.530273,"WinoGrande":0.17335,"SentimentAnalysisHindi":0.359396,"RuBQReranking":0.459815,"CyrillicTurkicLangClassification":0.643066,"FilipinoShopeeReviewsClassification":0.29108900000000004,"STS22.v2":0.5471163333333333,"RomaniBibleClustering":0.370315,"MacedonianTweetSentimentClassification":0.371203,"AfriSentiClassification":0.3724718333333334,"STS12":0.7680552915288186,"LegalBenchCorporateLobbying":0.91462,"TweetTopicSingleClassification":0.729829,"MultiEURLEXMultilabelClassification":0.02949478260869565,"T2Reranking":0.613591,"GreekLegalCodeClassification":0.066919,"SlovakMovieReviewSentimentClassification":0.566699,"FaroeseSTS":0.664819,"SwissJudgementClassification":0.5358096666666666,"TwitterURLCorpus":0.8552705223340233,"TRECCOVID":0.7021999999999999,"IndicLangClassification":0.374814,"GujaratiNewsClassification":0.420865,"ItaCaseholdClassification":0.725339,"FloresBitextMining":0.14666389773495606,"Robust04InstructionRetrieval":-0.048117,"BulgarianStoreReviewSentimentClassfication":0.355495,"OdiaNewsClassification":0.538453,"TswanaNewsClassification":0.262628,"PlscClusteringP2P.v2":0.696337,"FinancialPhrasebankClassification":0.827694,"News21InstructionRetrieval":0.012578,"StackOverflowQA":0.82489,"Core17InstructionRetrieval":-0.003123,"WebLINXCandidatesReranking":0.09416550000000001,"PAC":0.616855,"VoyageMMarcoReranking":0.318553,"MedrxivClusteringP2P.v2":0.366636,"GermanSTSBenchmark":0.698542,"AlloprofReranking":0.70544,"AlloProfClusteringS2S.v2":0.378373,"ScalaClassification":0.50061025,"indonli":0.479212,"IN22GenBitextMining":0.03255626877470356,"CovidRetrieval":0.19652,"BigPatentClustering.v2":0.254472,"PawsXPairClassification":0.5349804285714286,"NusaXBitextMining":0.2921320909090909,"NusaParagraphEmotionClassification":0.2786512,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7150110000000001,"DiaBlaBitextMining":0.206674,"IndonesianIdClickbaitClassification":0.559189,"XNLI":0.5946544642857142},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":105,"model":{"name":"avsolatorio/NoInstruct-small-Embedding-v0","url":"https://huggingface.co/avsolatorio/NoInstruct-small-Embedding-v0","zeroShotPct":-1,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-05-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02534,"MultilabelClassification":0.168997,"Classification":0.4921031126025992,"Retrieval":0.37807731181952686,"Reranking":0.43591412152777775,"Clustering":0.40871482766327505,"PairClassification":0.7172517966724415,"BitextMining":0.23124526423696376},"scoresByTask":{"SemRel24STS":0.3804490833333333,"FinParaSTS":0.1270985,"PolEmo2.0-OUT":0.294737,"JSICK":0.650772,"SwednClusteringP2P":0.2983425,"MalteseNewsClassification":0.243796,"CzechProductReviewSentimentClassification":0.433008,"STS13":0.8608377598473446,"IndicCrosslingualSTS":-0.022843333333333337,"SprintDuplicateQuestions":0.9621199069147254,"WikipediaRerankingMultilingual":0.7078420625,"EstonianValenceClassification":0.291687,"STS15":0.8890045649789439,"MLQARetrieval":0.17940418367346941,"HALClusteringS2S.v2":0.236545,"PoemSentimentClassification":0.48753650000000004,"BrazilianToxicTweetsClassification":0.188037,"StatcanDialogueDatasetRetrieval":0.235155,"NordicLangClassification":0.537433,"ArXivHierarchicalClusteringP2P":0.601126,"NusaTranslationBitextMining":0.6130804545454546,"MassiveIntentClassification":0.3468821960784314,"CLSClusteringP2P.v2":0.195414,"WikipediaRetrievalMultilingual":0.48054125000000003,"SinhalaNewsClassification":0.393945,"StackExchangeClustering.v2":0.584265,"MasakhaNEWSClassification":0.6410494375,"NusaX-senti":0.5411458333333333,"CataloniaTweetClassification":0.46891475,"OpusparcusPC":0.8752005,"ArmenianParaphrasePC":0.885263,"KorHateSpeechMLClassification":0.034659,"WikiClusteringP2P.v2":0.24766885714285714,"AmazonCounterfactualClassification":0.661184125,"ArXivHierarchicalClusteringS2S":0.575768,"NepaliNewsClassification":0.438428,"ArguAna":0.57593,"AILAStatutes":0.28411,"ToxicConversationsClassification":0.6943699999999999,"IndicGenBenchFloresBitextMining":0.034749681034482754,"CSFDSKMovieReviewSentimentClassification":0.214209,"SiswatiNewsClassification":0.725,"CEDRClassification":0.355473,"TempReasonL1":0.01124,"BiorxivClusteringP2P.v2":0.418853,"NorwegianCourtsBitextMining":0.90424,"PunjabiNewsClassification":0.656688,"SpartQA":0.00591,"BUCC.v2":0.14012075,"BornholmBitextMining":0.303519,"BibleNLPBitextMining":0.011726884661835748,"SIB200ClusteringS2S":0.09304619796954314,"RTE3":0.85928325,"TERRa":0.455217,"SwahiliNewsClassification":0.513477,"DBpediaClassification":0.857959,"HagridRetrieval":0.98769,"MultiHateClassification":0.5514,"WikiCitiesClustering":0.801023,"Tatoeba":0.0545238125,"STS14":0.8228284203795577,"KurdishSentimentClassification":0.579819,"PpcPC":0.680782,"STSBenchmark":0.8697909372129874,"MasakhaNEWSClusteringS2S":0.4013386875,"MIRACLRetrievalHardNegatives":0.1264033333333333,"NTREXBitextMining":0.1817320114822547,"DalajClassification":0.50259,"SICK-R":0.803077709440879,"NollySentiBitextMining":0.2770485,"SCIDOCS":0.21823,"BelebeleRetrieval":0.25437784574468086,"IsiZuluNewsClassification":0.256915,"TwitterHjerneRetrieval":0.11558,"STSB":0.4646245,"STSES":0.718332,"KorSarcasmClassification":0.537012,"WinoGrande":0.35429,"SentimentAnalysisHindi":0.350142,"RuBQReranking":0.306517,"CyrillicTurkicLangClassification":0.6604,"FilipinoShopeeReviewsClassification":0.289136,"STS22.v2":0.5142086111111112,"RomaniBibleClustering":0.387235,"MacedonianTweetSentimentClassification":0.357594,"AfriSentiClassification":0.3921005833333333,"STS12":0.7575714864112797,"LegalBenchCorporateLobbying":0.91852,"TweetTopicSingleClassification":0.725635,"MultiEURLEXMultilabelClassification":0.023020000000000002,"T2Reranking":0.631274,"GreekLegalCodeClassification":0.0384275,"SlovakMovieReviewSentimentClassification":0.549316,"FaroeseSTS":0.637321,"SwissJudgementClassification":0.5492896666666667,"TwitterURLCorpus":0.8548043564821317,"TRECCOVID":0.80118,"IndicLangClassification":0.438882,"GujaratiNewsClassification":0.430956,"ItaCaseholdClassification":0.803167,"FloresBitextMining":0.12242906022408964,"Robust04InstructionRetrieval":-0.075964,"BulgarianStoreReviewSentimentClassfication":0.315385,"OdiaNewsClassification":0.590944,"TswanaNewsClassification":0.296715,"PlscClusteringP2P.v2":0.667876,"FinancialPhrasebankClassification":0.796466,"News21InstructionRetrieval":-0.00396,"StackOverflowQA":0.73456,"Core17InstructionRetrieval":0.003904,"WebLINXCandidatesReranking":0.08547366666666667,"PAC":0.596785,"VoyageMMarcoReranking":0.284702,"MedrxivClusteringP2P.v2":0.380557,"GermanSTSBenchmark":0.6724140000000001,"AlloprofReranking":0.599676,"AlloProfClusteringS2S.v2":0.324355,"ScalaClassification":0.50079325,"indonli":0.482282,"IN22GenBitextMining":0.038335007905138344,"CovidRetrieval":0.21477,"BigPatentClustering.v2":0.326024,"PawsXPairClassification":0.5268708571428571,"NusaXBitextMining":0.22285927272727274,"NusaParagraphEmotionClassification":0.299239,"LEMBPasskeyRetrieval":0.3075,"CTKFactsNLI":0.7090620000000001,"DiaBlaBitextMining":0.101824,"IndonesianIdClickbaitClassification":0.553671,"XNLI":0.5988848928571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":106,"model":{"name":"infgrad/stella-base-en-v2","url":"https://huggingface.co/infgrad/stella-base-en-v2","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":null,"maxTokens":512.0,"releaseDate":"2023-10-19","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":null,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03273,"MultilabelClassification":0.15821954782608696,"Classification":0.4864060729215893,"Retrieval":0.35275553623862865,"Reranking":0.43860490625,"Clustering":0.41513834276423134,"PairClassification":0.7173529912745488,"BitextMining":0.2508716745681959},"scoresByTask":{"SemRel24STS":0.4087220833333333,"FinParaSTS":0.085982,"PolEmo2.0-OUT":0.275911,"JSICK":0.609924,"SwednClusteringP2P":0.288095,"MalteseNewsClassification":0.216369,"CzechProductReviewSentimentClassification":0.448047,"STS13":0.8488094386637868,"IndicCrosslingualSTS":0.06423383333333334,"SprintDuplicateQuestions":0.9569771347732625,"WikipediaRerankingMultilingual":0.7245574375,"EstonianValenceClassification":0.294499,"STS15":0.8873903130248592,"MLQARetrieval":0.1945161224489796,"HALClusteringS2S.v2":0.244082,"PoemSentimentClassification":0.53549,"BrazilianToxicTweetsClassification":0.177148,"StatcanDialogueDatasetRetrieval":0.193615,"NordicLangClassification":0.519767,"ArXivHierarchicalClusteringP2P":0.59993,"NusaTranslationBitextMining":0.6033513636363637,"MassiveIntentClassification":0.29263157843137255,"CLSClusteringP2P.v2":0.208722,"WikipediaRetrievalMultilingual":0.501133125,"SinhalaNewsClassification":0.389258,"StackExchangeClustering.v2":0.590957,"MasakhaNEWSClassification":0.6311145625,"NusaX-senti":0.5790416666666667,"CataloniaTweetClassification":0.47349275,"OpusparcusPC":0.8747931666666666,"ArmenianParaphrasePC":0.870422,"KorHateSpeechMLClassification":0.045066,"WikiClusteringP2P.v2":0.2506811428571428,"AmazonCounterfactualClassification":0.670369875,"ArXivHierarchicalClusteringS2S":0.58569,"NepaliNewsClassification":0.461719,"ArguAna":0.60627,"AILAStatutes":0.19698,"ToxicConversationsClassification":0.7299279999999999,"IndicGenBenchFloresBitextMining":0.04320653448275862,"CSFDSKMovieReviewSentimentClassification":0.219482,"SiswatiNewsClassification":0.5725,"CEDRClassification":0.326993,"TempReasonL1":0.0091,"BiorxivClusteringP2P.v2":0.414085,"NorwegianCourtsBitextMining":0.908187,"PunjabiNewsClassification":0.593631,"SpartQA":0.06801,"BUCC.v2":0.20032775,"BornholmBitextMining":0.35395,"BibleNLPBitextMining":0.014614067632850242,"SIB200ClusteringS2S":0.09597209137055837,"RTE3":0.86573425,"TERRa":0.468912,"SwahiliNewsClassification":0.518115,"DBpediaClassification":0.876562,"HagridRetrieval":0.98836,"MultiHateClassification":0.5493636363636364,"WikiCitiesClustering":0.862996,"Tatoeba":0.06714650892857142,"STS14":0.8310699573133828,"KurdishSentimentClassification":0.595018,"PpcPC":0.669711,"STSBenchmark":0.8744850004752103,"MasakhaNEWSClusteringS2S":0.40778225,"MIRACLRetrievalHardNegatives":0.1115788888888889,"NTREXBitextMining":0.20778784551148224,"DalajClassification":0.503716,"SICK-R":0.8105827848407056,"NollySentiBitextMining":0.272117,"SCIDOCS":0.18583,"BelebeleRetrieval":0.2796265159574468,"IsiZuluNewsClassification":0.233777,"TwitterHjerneRetrieval":0.09708,"STSB":0.4676725,"STSES":0.75843,"KorSarcasmClassification":0.522949,"WinoGrande":0.25429,"SentimentAnalysisHindi":0.382433,"RuBQReranking":0.289029,"CyrillicTurkicLangClassification":0.645117,"FilipinoShopeeReviewsClassification":0.29406750000000004,"STS22.v2":0.5169397222222222,"RomaniBibleClustering":0.367414,"MacedonianTweetSentimentClassification":0.354697,"AfriSentiClassification":0.37592766666666666,"STS12":0.787182808242435,"LegalBenchCorporateLobbying":0.91205,"TweetTopicSingleClassification":0.726816,"MultiEURLEXMultilabelClassification":0.025521739130434783,"T2Reranking":0.599792,"GreekLegalCodeClassification":0.038623000000000005,"SlovakMovieReviewSentimentClassification":0.557666,"FaroeseSTS":0.645622,"SwissJudgementClassification":0.530012,"TwitterURLCorpus":0.8615882097229648,"TRECCOVID":0.64792,"IndicLangClassification":0.410747,"GujaratiNewsClassification":0.411836,"ItaCaseholdClassification":0.70724,"FloresBitextMining":0.14340411223799865,"Robust04InstructionRetrieval":-0.070345,"BulgarianStoreReviewSentimentClassfication":0.358791,"OdiaNewsClassification":0.566961,"TswanaNewsClassification":0.273717,"PlscClusteringP2P.v2":0.669428,"FinancialPhrasebankClassification":0.805565,"News21InstructionRetrieval":-0.012953,"StackOverflowQA":0.78807,"Core17InstructionRetrieval":-0.014892,"WebLINXCandidatesReranking":0.089758,"PAC":0.61671,"VoyageMMarcoReranking":0.276406,"MedrxivClusteringP2P.v2":0.363817,"GermanSTSBenchmark":0.655087,"AlloprofReranking":0.652087,"AlloProfClusteringS2S.v2":0.351139,"ScalaClassification":0.5015745,"indonli":0.491976,"IN22GenBitextMining":0.05365913241106719,"CovidRetrieval":0.14017,"BigPatentClustering.v2":0.341423,"PawsXPairClassification":0.5204807857142857,"NusaXBitextMining":0.26396945454545456,"NusaParagraphEmotionClassification":0.2883084,"LEMBPasskeyRetrieval":0.17500000000000002,"CTKFactsNLI":0.7034849999999999,"DiaBlaBitextMining":0.129611,"IndonesianIdClickbaitClassification":0.582269,"XNLI":0.606803357142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":107,"model":{"name":"nomic-ai/nomic-embed-text-v1-unsupervised","url":"https://huggingface.co/nomic-ai/nomic-embed-text-v1-unsupervised","zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-01-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/5f7b461e5a13b5636692d1c9f1141b27232fe966/src/contrastors/configs/train/contrastive_finetune.yaml","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["nomic"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.021464666666666663,"MultilabelClassification":0.16381166956521737,"Classification":0.4899822382700121,"Retrieval":0.40662063976536245,"Reranking":0.4817654687500001,"Clustering":0.3910496251727928,"PairClassification":0.7170478844832124,"BitextMining":0.2741206105414802},"scoresByTask":{"SemRel24STS":0.42707558333333334,"FinParaSTS":0.10904900000000001,"PolEmo2.0-OUT":0.241498,"JSICK":0.686459,"SwednClusteringP2P":0.30542400000000003,"MalteseNewsClassification":0.202307,"CzechProductReviewSentimentClassification":0.443945,"STS13":0.8477145185366202,"IndicCrosslingualSTS":-0.04279158333333333,"SprintDuplicateQuestions":0.9593389375761486,"WikipediaRerankingMultilingual":0.7849368125,"EstonianValenceClassification":0.297188,"STS15":0.8726758456901442,"MLQARetrieval":0.23698979591836736,"HALClusteringS2S.v2":0.193763,"PoemSentimentClassification":0.473599,"BrazilianToxicTweetsClassification":0.209717,"StatcanDialogueDatasetRetrieval":0.22869,"NordicLangClassification":0.537067,"ArXivHierarchicalClusteringP2P":0.567453,"NusaTranslationBitextMining":0.6557476363636364,"MassiveIntentClassification":0.32265404901960787,"CLSClusteringP2P.v2":0.174395,"WikipediaRetrievalMultilingual":0.63208625,"SinhalaNewsClassification":0.359766,"StackExchangeClustering.v2":0.527255,"MasakhaNEWSClassification":0.6509746875,"NusaX-senti":0.5680625,"CataloniaTweetClassification":0.459943,"OpusparcusPC":0.876057,"ArmenianParaphrasePC":0.891183,"KorHateSpeechMLClassification":0.048945,"WikiClusteringP2P.v2":0.24807385714285715,"AmazonCounterfactualClassification":0.67554825,"ArXivHierarchicalClusteringS2S":0.552057,"NepaliNewsClassification":0.578955,"ArguAna":0.54812,"AILAStatutes":0.23056,"ToxicConversationsClassification":0.7296340000000001,"IndicGenBenchFloresBitextMining":0.04795972413793104,"CSFDSKMovieReviewSentimentClassification":0.227734,"SiswatiNewsClassification":0.58875,"CEDRClassification":0.330765,"TempReasonL1":0.01679,"BiorxivClusteringP2P.v2":0.387819,"NorwegianCourtsBitextMining":0.91038,"PunjabiNewsClassification":0.63758,"SpartQA":0.069,"BUCC.v2":0.25192925,"BornholmBitextMining":0.387452,"BibleNLPBitextMining":0.021927052536231884,"SIB200ClusteringS2S":0.08961220812182741,"RTE3":0.85203375,"TERRa":0.470902,"SwahiliNewsClassification":0.514111,"DBpediaClassification":0.837988,"HagridRetrieval":0.98471,"MultiHateClassification":0.5527909090909091,"WikiCitiesClustering":0.790965,"Tatoeba":0.07494874107142857,"STS14":0.799948128016449,"KurdishSentimentClassification":0.590941,"PpcPC":0.662038,"STSBenchmark":0.8395859527071088,"MasakhaNEWSClusteringS2S":0.3523499375,"MIRACLRetrievalHardNegatives":0.14851666666666669,"NTREXBitextMining":0.21932943893528184,"DalajClassification":0.497635,"SICK-R":0.7418938626206575,"NollySentiBitextMining":0.28934925,"SCIDOCS":0.2017,"BelebeleRetrieval":0.32400880319148934,"IsiZuluNewsClassification":0.248138,"TwitterHjerneRetrieval":0.14506,"STSB":0.449326,"STSES":0.718886,"KorSarcasmClassification":0.530566,"WinoGrande":0.55998,"SentimentAnalysisHindi":0.389449,"RuBQReranking":0.400502,"CyrillicTurkicLangClassification":0.687646,"FilipinoShopeeReviewsClassification":0.2918945,"STS22.v2":0.5730821666666667,"RomaniBibleClustering":0.380658,"MacedonianTweetSentimentClassification":0.362248,"AfriSentiClassification":0.3791570833333333,"STS12":0.7322311186990363,"LegalBenchCorporateLobbying":0.9369,"TweetTopicSingleClassification":0.638098,"MultiEURLEXMultilabelClassification":0.027324347826086958,"T2Reranking":0.62252,"GreekLegalCodeClassification":0.052466,"SlovakMovieReviewSentimentClassification":0.560938,"FaroeseSTS":0.642727,"SwissJudgementClassification":0.5581616666666666,"TwitterURLCorpus":0.8541051488820464,"TRECCOVID":0.62203,"IndicLangClassification":0.495526,"GujaratiNewsClassification":0.406373,"ItaCaseholdClassification":0.623529,"FloresBitextMining":0.15048168786825075,"Robust04InstructionRetrieval":-0.057653,"BulgarianStoreReviewSentimentClassfication":0.358791,"OdiaNewsClassification":0.578292,"TswanaNewsClassification":0.316427,"PlscClusteringP2P.v2":0.688227,"FinancialPhrasebankClassification":0.819081,"News21InstructionRetrieval":0.015335,"StackOverflowQA":0.75436,"Core17InstructionRetrieval":-0.022076,"WebLINXCandidatesReranking":0.11102000000000001,"PAC":0.635447,"VoyageMMarcoReranking":0.331604,"MedrxivClusteringP2P.v2":0.348539,"GermanSTSBenchmark":0.696293,"AlloprofReranking":0.64001,"AlloProfClusteringS2S.v2":0.353976,"ScalaClassification":0.5002075,"indonli":0.482936,"IN22GenBitextMining":0.07330315612648221,"CovidRetrieval":0.19467,"BigPatentClustering.v2":0.296227,"PawsXPairClassification":0.5433056428571429,"NusaXBitextMining":0.316431,"NusaParagraphEmotionClassification":0.3025951,"LEMBPasskeyRetrieval":0.485,"CTKFactsNLI":0.710456,"DiaBlaBitextMining":0.164329,"IndonesianIdClickbaitClassification":0.547841,"XNLI":0.58517125},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":108,"model":{"name":"dwzhu/e5-base-4k","url":"https://huggingface.co/dwzhu/e5-base-4k","zeroShotPct":100,"activeParamsB":0.089,"totalParamsB":0.112,"embeddingDim":null,"maxTokens":4096.0,"releaseDate":"2024-03-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@article{zhu2024longembed,\n title={LongEmbed: Extending Embedding Models for Long Context Retrieval},\n author={Zhu, Dawei and Wang, Liang and Yang, Nan and Song, Yifan and Wu, Wenhao and Wei, Furu and Li, Sujian},\n journal={arXiv preprint arXiv:2404.12096},\n year={2024}\n}","memoryUsageMb":null,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.089,"totalParamsB":0.112,"embeddingDim":null,"maxTokens":4096,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.029243666666666664,"MultilabelClassification":0.15712703478260873,"Classification":0.5017183966028271,"Retrieval":0.36776524101849173,"Reranking":0.4247470416666667,"Clustering":0.3808501894715373,"PairClassification":0.7293370197851594,"BitextMining":0.2786061755535216},"scoresByTask":{"SemRel24STS":0.39846733333333334,"FinParaSTS":0.15645550000000003,"PolEmo2.0-OUT":0.281984,"JSICK":0.603486,"SwednClusteringP2P":0.267841,"MalteseNewsClassification":0.19852,"CzechProductReviewSentimentClassification":0.440234,"STS13":0.8358056936846942,"IndicCrosslingualSTS":-0.03211675,"SprintDuplicateQuestions":0.9459134620408962,"WikipediaRerankingMultilingual":0.71672675,"EstonianValenceClassification":0.30599,"STS15":0.8882021731518206,"MLQARetrieval":0.202280306122449,"HALClusteringS2S.v2":0.23174,"PoemSentimentClassification":0.516351,"BrazilianToxicTweetsClassification":0.191113,"StatcanDialogueDatasetRetrieval":0.1333825,"NordicLangClassification":0.599867,"ArXivHierarchicalClusteringP2P":0.552846,"NusaTranslationBitextMining":0.7128998181818181,"MassiveIntentClassification":0.35227547058823533,"CLSClusteringP2P.v2":0.170865,"WikipediaRetrievalMultilingual":0.503959375,"SinhalaNewsClassification":0.397217,"StackExchangeClustering.v2":0.52223,"MasakhaNEWSClassification":0.636389125,"NusaX-senti":0.5677708333333333,"CataloniaTweetClassification":0.47418575,"OpusparcusPC":0.8791773333333334,"ArmenianParaphrasePC":0.875325,"KorHateSpeechMLClassification":0.031271,"WikiClusteringP2P.v2":0.24126771428571428,"AmazonCounterfactualClassification":0.671741625,"ArXivHierarchicalClusteringS2S":0.538693,"NepaliNewsClassification":0.522852,"ArguAna":0.4449,"AILAStatutes":0.21138,"ToxicConversationsClassification":0.721126,"IndicGenBenchFloresBitextMining":0.06006436206896552,"CSFDSKMovieReviewSentimentClassification":0.222021,"SiswatiNewsClassification":0.7275,"CEDRClassification":0.339639,"TempReasonL1":0.01465,"BiorxivClusteringP2P.v2":0.367251,"NorwegianCourtsBitextMining":0.913743,"PunjabiNewsClassification":0.673885,"SpartQA":0.03535,"BUCC.v2":0.225639,"BornholmBitextMining":0.374419,"BibleNLPBitextMining":0.016012740942028987,"SIB200ClusteringS2S":0.08389181725888326,"RTE3":0.875533,"TERRa":0.508323,"SwahiliNewsClassification":0.518213,"DBpediaClassification":0.920605,"HagridRetrieval":0.98681,"MultiHateClassification":0.5608,"WikiCitiesClustering":0.727597,"Tatoeba":0.0657399375,"STS14":0.79948683747966,"KurdishSentimentClassification":0.579265,"PpcPC":0.707928,"STSBenchmark":0.8652303197250791,"MasakhaNEWSClusteringS2S":0.3820535,"MIRACLRetrievalHardNegatives":0.09393944444444445,"NTREXBitextMining":0.23567894624217117,"DalajClassification":0.499775,"SICK-R":0.7829727771767095,"NollySentiBitextMining":0.2939915,"SCIDOCS":0.18694,"BelebeleRetrieval":0.27140271276595745,"IsiZuluNewsClassification":0.238165,"TwitterHjerneRetrieval":0.06443,"STSB":0.3657415,"STSES":0.704574,"KorSarcasmClassification":0.539502,"WinoGrande":0.37335,"SentimentAnalysisHindi":0.384319,"RuBQReranking":0.306557,"CyrillicTurkicLangClassification":0.648389,"FilipinoShopeeReviewsClassification":0.28757299999999997,"STS22.v2":0.49595616666666664,"RomaniBibleClustering":0.356241,"MacedonianTweetSentimentClassification":0.390255,"AfriSentiClassification":0.38675166666666666,"STS12":0.7579279003980384,"LegalBenchCorporateLobbying":0.90173,"TweetTopicSingleClassification":0.682162,"MultiEURLEXMultilabelClassification":0.025092173913043476,"T2Reranking":0.586084,"GreekLegalCodeClassification":0.0722415,"SlovakMovieReviewSentimentClassification":0.556055,"FaroeseSTS":0.661041,"SwissJudgementClassification":0.5551353333333333,"TwitterURLCorpus":0.8663028865482376,"TRECCOVID":0.69596,"IndicLangClassification":0.51581,"GujaratiNewsClassification":0.423065,"ItaCaseholdClassification":0.642534,"FloresBitextMining":0.16481505631218005,"Robust04InstructionRetrieval":-0.062008,"BulgarianStoreReviewSentimentClassfication":0.392857,"OdiaNewsClassification":0.572004,"TswanaNewsClassification":0.290965,"PlscClusteringP2P.v2":0.656811,"FinancialPhrasebankClassification":0.788207,"News21InstructionRetrieval":-0.004283,"StackOverflowQA":0.79923,"Core17InstructionRetrieval":-0.02144,"WebLINXCandidatesReranking":0.08688250000000002,"PAC":0.652302,"VoyageMMarcoReranking":0.268894,"MedrxivClusteringP2P.v2":0.344909,"GermanSTSBenchmark":0.6615805,"AlloprofReranking":0.583338,"AlloProfClusteringS2S.v2":0.312929,"ScalaClassification":0.50170875,"indonli":0.498959,"IN22GenBitextMining":0.06854173913043478,"CovidRetrieval":0.04758,"BigPatentClustering.v2":0.336437,"PawsXPairClassification":0.5302057857142858,"NusaXBitextMining":0.3025221818181818,"NusaParagraphEmotionClassification":0.31234,"LEMBPasskeyRetrieval":0.6525,"CTKFactsNLI":0.7313735,"DiaBlaBitextMining":0.187813,"IndonesianIdClickbaitClassification":0.551502,"XNLI":0.60366625},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":109,"model":{"name":"sdadas/mmlw-e5-base","url":"https://huggingface.co/sdadas/mmlw-e5-base","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2023-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Polish"],"citation":"@article{dadas2024pirb,\n title={{PIRB}: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods},\n author={Sławomir Dadas and Michał Perełkiewicz and Rafał Poświata},\n year={2024},\n eprint={2402.13350},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":1061.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":0.4415222031994077,"meanTaskType":0.36367636152834276,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03324033333333333,"MultilabelClassification":0.16011720000000002,"Classification":0.5228402404266557,"Retrieval":0.30788082777663867,"Reranking":0.3607395798611111,"STS":0.5737464627525253,"Clustering":0.4216150220778191,"PairClassification":0.7238550800865802,"BitextMining":0.2355331741070885},"scoresByTask":{"SemRel24STS":0.3650650833333333,"FinParaSTS":0.0680635,"PolEmo2.0-OUT":0.35809716599190283,"JSICK":0.547506,"SwednClusteringP2P":0.294875,"MalteseNewsClassification":0.192425,"CzechProductReviewSentimentClassification":0.43501,"STS13":0.837403,"IndicCrosslingualSTS":0.048059083333333336,"SprintDuplicateQuestions":0.963292,"WikipediaRerankingMultilingual":0.6376553125,"EstonianValenceClassification":0.299267,"STS15":0.881554,"MLQARetrieval":0.16768051020408165,"HALClusteringS2S.v2":0.242857,"PoemSentimentClassification":0.5388145,"BrazilianToxicTweetsClassification":0.185303,"StatcanDialogueDatasetRetrieval":0.17721,"STS17":0.4302721818181819,"NordicLangClassification":0.581433,"ArXivHierarchicalClusteringP2P":0.59867,"NusaTranslationBitextMining":0.5452411818181818,"MassiveIntentClassification":0.3773632941176471,"CLSClusteringP2P.v2":0.260635,"WikipediaRetrievalMultilingual":0.37620312499999997,"SinhalaNewsClassification":0.473291,"StackExchangeClustering.v2":0.574387,"MasakhaNEWSClassification":0.6322785625,"NusaX-senti":0.5833125,"CataloniaTweetClassification":0.4763555,"OpusparcusPC":0.8610826666666668,"ArmenianParaphrasePC":0.888154,"KorHateSpeechMLClassification":0.044674,"WikiClusteringP2P.v2":0.24572671428571427,"AmazonCounterfactualClassification":0.660390875,"ArXivHierarchicalClusteringS2S":0.555983,"NepaliNewsClassification":0.710791,"ArguAna":0.59834,"AILAStatutes":0.21981,"ToxicConversationsClassification":0.646729,"IndicGenBenchFloresBitextMining":0.07759377586206896,"CSFDSKMovieReviewSentimentClassification":0.217041,"SiswatiNewsClassification":0.74,"CEDRClassification":0.352444,"TempReasonL1":0.01243,"BiorxivClusteringP2P.v2":0.426656,"NorwegianCourtsBitextMining":0.847807,"PunjabiNewsClassification":0.688535,"SpartQA":0.06962,"BUCC.v2":0.17784149999999999,"BornholmBitextMining":0.241953,"BibleNLPBitextMining":0.015686683574879227,"SIB200ClusteringS2S":0.08987426395939087,"RTE3":0.8715705,"TERRa":0.4829,"SwahiliNewsClassification":0.54458,"DBpediaClassification":0.864014,"HagridRetrieval":0.98766,"MultiHateClassification":0.5603636363636363,"WikiCitiesClustering":0.855346,"Tatoeba":0.06871327678571429,"STS14":0.822311,"KurdishSentimentClassification":0.59537,"PpcPC":0.726414,"STSBenchmark":0.866135,"MasakhaNEWSClusteringS2S":0.423637375,"MIRACLRetrievalHardNegatives":0.05721222222222222,"NTREXBitextMining":0.22708399478079333,"DalajClassification":0.502027,"SICK-R":0.808023,"NollySentiBitextMining":0.27162074999999997,"SCIDOCS":0.05346,"BelebeleRetrieval":0.25184904255319146,"IsiZuluNewsClassification":0.259176,"TwitterHjerneRetrieval":0.18522,"STSB":0.27923699999999996,"STSES":0.703403,"KorSarcasmClassification":0.530176,"WinoGrande":0.15227,"SentimentAnalysisHindi":0.364283,"RuBQReranking":0.176976,"CyrillicTurkicLangClassification":0.655518,"FilipinoShopeeReviewsClassification":0.2863285,"STS22.v2":0.4996305555555555,"RomaniBibleClustering":0.372754,"MacedonianTweetSentimentClassification":0.381036,"AfriSentiClassification":0.3908270833333333,"STS12":0.785712,"LegalBenchCorporateLobbying":0.91128,"TweetTopicSingleClassification":0.734082,"MultiEURLEXMultilabelClassification":0.02574,"T2Reranking":0.530725,"GreekLegalCodeClassification":0.031421,"SlovakMovieReviewSentimentClassification":0.570703,"FaroeseSTS":0.624483,"SwissJudgementClassification":0.5236096666666666,"TwitterURLCorpus":0.854059,"TRECCOVID":0.39997,"IndicLangClassification":0.788122,"GujaratiNewsClassification":0.551442,"ItaCaseholdClassification":0.849774,"FloresBitextMining":0.1554614483966,"Robust04InstructionRetrieval":-0.072805,"BulgarianStoreReviewSentimentClassfication":0.353846,"OdiaNewsClassification":0.636718,"TswanaNewsClassification":0.259343,"PlscClusteringP2P.v2":0.680967,"FinancialPhrasebankClassification":0.802473,"News21InstructionRetrieval":-0.004789,"StackOverflowQA":0.72256,"Core17InstructionRetrieval":-0.022127,"WebLINXCandidatesReranking":0.08000416666666667,"PAC":0.645033304373009,"VoyageMMarcoReranking":0.189641,"MedrxivClusteringP2P.v2":0.37711,"GermanSTSBenchmark":0.613086,"AlloprofReranking":0.549436,"AlloProfClusteringS2S.v2":0.363268,"ScalaClassification":0.50122075,"indonli":0.488006,"IN22GenBitextMining":0.11263156126482214,"CovidRetrieval":0.00158,"BigPatentClustering.v2":0.383094,"PawsXPairClassification":0.5179882857142857,"NusaXBitextMining":0.2656590909090909,"NusaParagraphEmotionClassification":0.303853,"LEMBPasskeyRetrieval":0.1975,"CTKFactsNLI":0.721683,"DiaBlaBitextMining":0.054638,"IndonesianIdClickbaitClassification":0.578081,"XNLI":0.5872564285714285},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":110,"model":{"name":"BAAI/bge-base-en-v1.5","url":"https://huggingface.co/BAAI/bge-base-en-v1.5","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-09-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":390.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":0.4451914490786969,"meanTaskType":0.38142529034668093,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.039828333333333334,"MultilabelClassification":0.1636514,"Classification":0.4798785121085592,"Retrieval":0.3861011372009403,"Reranking":0.47570400293367926,"STS":0.5996556319877875,"Clustering":0.41405828272955114,"PairClassification":0.7169130237317258,"BitextMining":0.2366939557612183},"scoresByTask":{"SemRel24STS":0.4274099961523518,"FinParaSTS":0.10132880531033092,"PolEmo2.0-OUT":0.30789473684210533,"JSICK":0.6377333314877683,"SwednClusteringP2P":0.2868285031269452,"MalteseNewsClassification":0.224946,"CzechProductReviewSentimentClassification":0.43818359375,"STS13":0.8418359851756962,"IndicCrosslingualSTS":0.07372074182768025,"SprintDuplicateQuestions":0.9637070633494467,"WikipediaRerankingMultilingual":0.7482888723544974,"EstonianValenceClassification":0.2893643031784841,"STS15":0.8795662500150213,"MLQARetrieval":0.2076330612244898,"HALClusteringS2S.v2":0.25267746520624706,"PoemSentimentClassification":0.5243772893772893,"BrazilianToxicTweetsClassification":0.187012,"StatcanDialogueDatasetRetrieval":0.2252825,"STS17":0.42320743874364647,"NordicLangClassification":0.5343,"ArXivHierarchicalClusteringP2P":0.6068256839091629,"NusaTranslationBitextMining":0.5900375182713821,"MassiveIntentClassification":0.29001338390338705,"CLSClusteringP2P.v2":0.20925849649331352,"WikipediaRetrievalMultilingual":0.56414375,"SinhalaNewsClassification":0.372607421875,"StackExchangeClustering.v2":0.5533297004859964,"MasakhaNEWSClassification":0.6148979749519565,"NusaX-senti":0.5787083333333333,"CataloniaTweetClassification":0.48165575960810975,"OpusparcusPC":0.8741595067885141,"ArmenianParaphrasePC":0.8703939295948434,"KorHateSpeechMLClassification":0.042121,"WikiClusteringP2P.v2":0.2465445511096089,"AmazonCounterfactualClassification":0.6602951658649427,"ArXivHierarchicalClusteringS2S":0.5898746479298997,"NepaliNewsClassification":0.442724609375,"ArguAna":0.63752,"AILAStatutes":0.23346,"ToxicConversationsClassification":0.670361328125,"IndicGenBenchFloresBitextMining":0.03712413832245025,"CSFDSKMovieReviewSentimentClassification":0.21796875,"SiswatiNewsClassification":0.51625,"CEDRClassification":0.336238,"TempReasonL1":0.01073,"BiorxivClusteringP2P.v2":0.41671936179830205,"NorwegianCourtsBitextMining":0.9067251461988304,"PunjabiNewsClassification":0.5942675159235667,"SpartQA":0.03367,"BUCC.v2":0.17480235939157296,"BornholmBitextMining":0.27604043637521897,"BibleNLPBitextMining":0.014617693276362474,"SIB200ClusteringS2S":0.09367398281450416,"RTE3":0.8642650702385338,"TERRa":0.4711582214111984,"SwahiliNewsClassification":0.5185546875,"DBpediaClassification":0.8271484375,"HagridRetrieval":0.98829,"MultiHateClassification":0.5497818181818181,"WikiCitiesClustering":0.8608056803918346,"Tatoeba":0.06339663304634066,"STS14":0.8227285338843656,"KurdishSentimentClassification":0.5848515349773529,"PpcPC":0.6765950542181262,"STSBenchmark":0.8641801045690194,"MasakhaNEWSClusteringS2S":0.40468395717880457,"MIRACLRetrievalHardNegatives":0.17404222222222224,"NTREXBitextMining":0.18782182072788872,"DalajClassification":0.5018018018018019,"SICK-R":0.8030113956602887,"NollySentiBitextMining":0.265771218007503,"SCIDOCS":0.21725,"BelebeleRetrieval":0.2937189361702128,"IsiZuluNewsClassification":0.23377659574468085,"TwitterHjerneRetrieval":0.3151,"STSB":0.44958034856820145,"STSES":0.7256256149542571,"KorSarcasmClassification":0.518798828125,"WinoGrande":0.13762,"SentimentAnalysisHindi":0.3830833432147465,"RuBQReranking":0.44524547699694,"CyrillicTurkicLangClassification":0.64658203125,"FilipinoShopeeReviewsClassification":0.304052734375,"STS22.v2":0.46598166908064237,"RomaniBibleClustering":0.3652122684541712,"MacedonianTweetSentimentClassification":0.3628621597892889,"AfriSentiClassification":0.3667348764533609,"STS12":0.7802846881992981,"LegalBenchCorporateLobbying":0.91672,"TweetTopicSingleClassification":0.7175428233904312,"MultiEURLEXMultilabelClassification":0.02794,"T2Reranking":0.6308878145033734,"GreekLegalCodeClassification":0.036328125,"SlovakMovieReviewSentimentClassification":0.5552734375,"FaroeseSTS":0.6425782252314615,"SwissJudgementClassification":0.5364300000000001,"TwitterURLCorpus":0.8564521499076442,"TRECCOVID":0.78029,"IndicLangClassification":0.4270136103622855,"GujaratiNewsClassification":0.4000758725341426,"ItaCaseholdClassification":0.6972850678733031,"FloresBitextMining":0.13030990414084534,"Robust04InstructionRetrieval":-0.075349,"BulgarianStoreReviewSentimentClassfication":0.3510989010989011,"OdiaNewsClassification":0.5388313787456811,"TswanaNewsClassification":0.28624229979466115,"PlscClusteringP2P.v2":0.6942819671719158,"FinancialPhrasebankClassification":0.804726148409894,"News21InstructionRetrieval":-0.009961,"StackOverflowQA":0.80228,"Core17InstructionRetrieval":-0.034175,"WebLINXCandidatesReranking":0.0881324022548442,"PAC":0.5961482768607008,"VoyageMMarcoReranking":0.3197988617242776,"MedrxivClusteringP2P.v2":0.3632620368274916,"GermanSTSBenchmark":0.6557169829445715,"AlloprofReranking":0.6218705897681431,"AlloProfClusteringS2S.v2":0.36888166426835217,"ScalaClassification":0.501416015625,"indonli":0.4832895922964917,"IN22GenBitextMining":0.045363678943209244,"CovidRetrieval":0.23207,"BigPatentClustering.v2":0.3120725565062686,"PawsXPairClassification":0.5243384979456771,"NusaXBitextMining":0.26289668348646134,"NusaParagraphEmotionClassification":0.28694690165368325,"LEMBPasskeyRetrieval":0.18000000000000002,"CTKFactsNLI":0.6966847316111846,"DiaBlaBitextMining":0.1221141947077726,"IndonesianIdClickbaitClassification":0.5675181467981372,"XNLI":0.6049994436873245},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":111,"model":{"name":"avsolatorio/GIST-small-Embedding-v0","url":"https://huggingface.co/avsolatorio/GIST-small-Embedding-v0","zeroShotPct":96,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-02-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{solatorio2024gistembed,\n title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},\n author={Aivin V. Solatorio},\n journal={arXiv preprint arXiv:2402.16829},\n year={2024},\n URL={https://arxiv.org/abs/2402.16829}\n eprint={2402.16829},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","Banking77Classification","DuRetrieval","EmotionClassification","ImdbClassification","MLQARetrieval","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","NQ","NQ-NL","NQHardNegatives","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":96,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.027530000000000002,"MultilabelClassification":0.1679058,"Classification":0.47567815935517976,"Retrieval":0.3722359585976826,"Reranking":0.43250621875,"Clustering":0.40474013723146296,"PairClassification":0.7153562955940136,"BitextMining":0.23364391297563897},"scoresByTask":{"SemRel24STS":0.3727591666666667,"FinParaSTS":0.132524,"PolEmo2.0-OUT":0.225101,"JSICK":0.655528,"SwednClusteringP2P":0.2937345,"MalteseNewsClassification":0.227253,"CzechProductReviewSentimentClassification":0.437646,"STS13":0.8626355088415221,"IndicCrosslingualSTS":-0.0160185,"SprintDuplicateQuestions":0.9589733601612964,"WikipediaRerankingMultilingual":0.6965628125,"EstonianValenceClassification":0.293765,"STS15":0.887364409031183,"MLQARetrieval":0.18040336734693876,"HALClusteringS2S.v2":0.223401,"PoemSentimentClassification":0.520078,"BrazilianToxicTweetsClassification":0.198291,"StatcanDialogueDatasetRetrieval":0.249085,"NordicLangClassification":0.514467,"ArXivHierarchicalClusteringP2P":0.596633,"NusaTranslationBitextMining":0.6107186363636363,"MassiveIntentClassification":0.26833833333333335,"CLSClusteringP2P.v2":0.189324,"WikipediaRetrievalMultilingual":0.461924375,"SinhalaNewsClassification":0.383398,"StackExchangeClustering.v2":0.585482,"MasakhaNEWSClassification":0.6376115,"NusaX-senti":0.5485208333333333,"CataloniaTweetClassification":0.46831325,"OpusparcusPC":0.8752980833333334,"ArmenianParaphrasePC":0.875862,"KorHateSpeechMLClassification":0.035886,"WikiClusteringP2P.v2":0.24918392857142857,"AmazonCounterfactualClassification":0.656036375,"ArXivHierarchicalClusteringS2S":0.571498,"NepaliNewsClassification":0.420996,"ArguAna":0.5912,"AILAStatutes":0.31626,"ToxicConversationsClassification":0.7280239999999999,"IndicGenBenchFloresBitextMining":0.03392987931034483,"CSFDSKMovieReviewSentimentClassification":0.216992,"SiswatiNewsClassification":0.51625,"CEDRClassification":0.353879,"TempReasonL1":0.01447,"BiorxivClusteringP2P.v2":0.421505,"NorwegianCourtsBitextMining":0.922515,"PunjabiNewsClassification":0.599363,"SpartQA":0.04807,"BUCC.v2":0.14688475,"BornholmBitextMining":0.311305,"BibleNLPBitextMining":0.011757882246376812,"SIB200ClusteringS2S":0.09047714213197969,"RTE3":0.860205,"TERRa":0.444718,"SwahiliNewsClassification":0.495068,"DBpediaClassification":0.825586,"HagridRetrieval":0.98769,"MultiHateClassification":0.5423727272727272,"WikiCitiesClustering":0.809841,"Tatoeba":0.053071375,"STS14":0.8229883673695083,"KurdishSentimentClassification":0.594162,"PpcPC":0.687536,"STSBenchmark":0.8707819121764246,"MasakhaNEWSClusteringS2S":0.391380625,"MIRACLRetrievalHardNegatives":0.10569666666666667,"NTREXBitextMining":0.17839102922755742,"DalajClassification":0.503716,"SICK-R":0.8053174518259548,"NollySentiBitextMining":0.27400425,"SCIDOCS":0.21889,"BelebeleRetrieval":0.25004784574468086,"IsiZuluNewsClassification":0.230585,"TwitterHjerneRetrieval":0.15084,"STSB":0.46004,"STSES":0.712607,"KorSarcasmClassification":0.53208,"WinoGrande":0.3444,"SentimentAnalysisHindi":0.339683,"RuBQReranking":0.311847,"CyrillicTurkicLangClassification":0.645654,"FilipinoShopeeReviewsClassification":0.298926,"STS22.v2":0.5149538888888888,"RomaniBibleClustering":0.378335,"MacedonianTweetSentimentClassification":0.344688,"AfriSentiClassification":0.3911035,"STS12":0.7556589127055523,"LegalBenchCorporateLobbying":0.91446,"TweetTopicSingleClassification":0.728411,"MultiEURLEXMultilabelClassification":0.02422,"T2Reranking":0.617536,"GreekLegalCodeClassification":0.02583,"SlovakMovieReviewSentimentClassification":0.555127,"FaroeseSTS":0.638349,"SwissJudgementClassification":0.5541333333333333,"TwitterURLCorpus":0.8534184508966621,"TRECCOVID":0.6914,"IndicLangClassification":0.386501,"GujaratiNewsClassification":0.438771,"ItaCaseholdClassification":0.613122,"FloresBitextMining":0.12158652108084612,"Robust04InstructionRetrieval":-0.069454,"BulgarianStoreReviewSentimentClassfication":0.344505,"OdiaNewsClassification":0.593262,"TswanaNewsClassification":0.288296,"PlscClusteringP2P.v2":0.667187,"FinancialPhrasebankClassification":0.815504,"News21InstructionRetrieval":-0.011994,"StackOverflowQA":0.74494,"Core17InstructionRetrieval":-0.001142,"WebLINXCandidatesReranking":0.0839085,"PAC":0.595337,"VoyageMMarcoReranking":0.274871,"MedrxivClusteringP2P.v2":0.377786,"GermanSTSBenchmark":0.6673235,"AlloprofReranking":0.610312,"AlloProfClusteringS2S.v2":0.318466,"ScalaClassification":0.501294,"indonli":0.480635,"IN22GenBitextMining":0.034746,"CovidRetrieval":0.16297,"BigPatentClustering.v2":0.311608,"PawsXPairClassification":0.5272248571428572,"NusaXBitextMining":0.22509154545454546,"NusaParagraphEmotionClassification":0.273555,"LEMBPasskeyRetrieval":0.2675,"CTKFactsNLI":0.70642,"DiaBlaBitextMining":0.113369,"IndonesianIdClickbaitClassification":0.561988,"XNLI":0.5986285},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":112,"model":{"name":"sdadas/mmlw-roberta-large","url":"https://huggingface.co/sdadas/mmlw-roberta-large","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.435,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2023-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Polish"],"citation":"@article{dadas2024pirb,\n title={{PIRB}: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods},\n author={Sławomir Dadas and Michał Perełkiewicz and Rafał Poświata},\n year={2024},\n eprint={2402.13350},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":1659.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sdadas/polish-roberta-large-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.435,"embeddingDim":1024,"maxTokens":514,"meanTask":0.4251718635395953,"meanTaskType":0.35711303450710735,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03581133333333333,"MultilabelClassification":0.16802122608695652,"Classification":0.4839154560660595,"Retrieval":0.3174917455961896,"Reranking":0.3594238055555556,"STS":0.519253179135101,"Clustering":0.41060940403768587,"PairClassification":0.7385989794372295,"BitextMining":0.25251484798252205},"scoresByTask":{"SemRel24STS":0.265458,"FinParaSTS":0.064315,"PolEmo2.0-OUT":0.537246963562753,"JSICK":0.02014,"SwednClusteringP2P":0.288779,"MalteseNewsClassification":0.222682,"CzechProductReviewSentimentClassification":0.432764,"STS13":0.848021,"IndicCrosslingualSTS":0.06280941666666667,"SprintDuplicateQuestions":0.964769,"WikipediaRerankingMultilingual":0.636732,"EstonianValenceClassification":0.293399,"STS15":0.858572,"MLQARetrieval":0.16621091836734694,"HALClusteringS2S.v2":0.249619,"PoemSentimentClassification":0.528736,"BrazilianToxicTweetsClassification":0.175391,"StatcanDialogueDatasetRetrieval":0.23905,"STS17":0.3681267272727273,"NordicLangClassification":0.496667,"ArXivHierarchicalClusteringP2P":0.608105,"NusaTranslationBitextMining":0.6483155454545454,"MassiveIntentClassification":0.2793863039215686,"CLSClusteringP2P.v2":0.106062,"WikipediaRetrievalMultilingual":0.3987725,"SinhalaNewsClassification":0.3896,"StackExchangeClustering.v2":0.580577,"MasakhaNEWSClassification":0.63984675,"NusaX-senti":0.5751458333333334,"CataloniaTweetClassification":0.46899575,"OpusparcusPC":0.8618404166666668,"ArmenianParaphrasePC":0.83149,"KorHateSpeechMLClassification":0.052577,"WikiClusteringP2P.v2":0.2538897142857143,"AmazonCounterfactualClassification":0.6500345,"ArXivHierarchicalClusteringS2S":0.570935,"NepaliNewsClassification":0.506201,"ArguAna":0.61904,"AILAStatutes":0.18016,"ToxicConversationsClassification":0.666943,"IndicGenBenchFloresBitextMining":0.05600934482758621,"CSFDSKMovieReviewSentimentClassification":0.221094,"SiswatiNewsClassification":0.72125,"CEDRClassification":0.358077,"TempReasonL1":0.01019,"BiorxivClusteringP2P.v2":0.436246,"NorwegianCourtsBitextMining":0.905263,"PunjabiNewsClassification":0.673248,"SpartQA":0.05458,"BUCC.v2":0.21793825,"BornholmBitextMining":0.301663,"BibleNLPBitextMining":0.014218204710144927,"SIB200ClusteringS2S":0.10542718781725888,"RTE3":0.880719,"TERRa":0.478367,"SwahiliNewsClassification":0.564648,"DBpediaClassification":0.850342,"HagridRetrieval":0.98694,"MultiHateClassification":0.5748090909090909,"WikiCitiesClustering":0.827028,"Tatoeba":0.07892745535714285,"STS14":0.816639,"KurdishSentimentClassification":0.599799,"PpcPC":0.935626,"STSBenchmark":0.850874,"MasakhaNEWSClusteringS2S":0.4165485625,"MIRACLRetrievalHardNegatives":0.04403555555555555,"NTREXBitextMining":0.21182684916492694,"DalajClassification":0.501802,"SICK-R":0.813594,"NollySentiBitextMining":0.28800325000000004,"SCIDOCS":0.04834,"BelebeleRetrieval":0.25075244680851067,"IsiZuluNewsClassification":0.241223,"TwitterHjerneRetrieval":0.22679,"STSB":0.022290000000000004,"STSES":0.729918,"KorSarcasmClassification":0.524268,"WinoGrande":0.12949,"SentimentAnalysisHindi":0.341764,"RuBQReranking":0.153068,"CyrillicTurkicLangClassification":0.174512,"FilipinoShopeeReviewsClassification":0.2934325,"STS22.v2":0.5045782222222223,"RomaniBibleClustering":0.375402,"MacedonianTweetSentimentClassification":0.294557,"AfriSentiClassification":0.41009125,"STS12":0.803478,"LegalBenchCorporateLobbying":0.91546,"TweetTopicSingleClassification":0.733786,"MultiEURLEXMultilabelClassification":0.03137913043478261,"T2Reranking":0.54866,"GreekLegalCodeClassification":0.0299315,"SlovakMovieReviewSentimentClassification":0.560889,"FaroeseSTS":0.655724,"SwissJudgementClassification":0.5534123333333333,"TwitterURLCorpus":0.841692,"TRECCOVID":0.3747,"IndicLangClassification":0.155115,"GujaratiNewsClassification":0.477162,"ItaCaseholdClassification":0.840271,"FloresBitextMining":0.15862813413986282,"Robust04InstructionRetrieval":-0.080593,"BulgarianStoreReviewSentimentClassfication":0.291209,"OdiaNewsClassification":0.610733,"TswanaNewsClassification":0.273511,"PlscClusteringP2P.v2":0.714336,"FinancialPhrasebankClassification":0.799912,"News21InstructionRetrieval":0.003559,"StackOverflowQA":0.74863,"Core17InstructionRetrieval":-0.0304,"WebLINXCandidatesReranking":0.08514683333333334,"PAC":0.6469446857804807,"VoyageMMarcoReranking":0.141143,"MedrxivClusteringP2P.v2":0.386568,"GermanSTSBenchmark":0.6235135,"AlloprofReranking":0.591793,"AlloProfClusteringS2S.v2":0.35113,"ScalaClassification":0.50102525,"indonli":0.50458,"IN22GenBitextMining":0.07423244466403162,"CovidRetrieval":0.00171,"BigPatentClustering.v2":0.299098,"PawsXPairClassification":0.5114926428571429,"NusaXBitextMining":0.22488354545454545,"NusaParagraphEmotionClassification":0.3120249,"LEMBPasskeyRetrieval":0.32,"CTKFactsNLI":0.7313615,"DiaBlaBitextMining":0.102784,"IndonesianIdClickbaitClassification":0.570632,"XNLI":0.5826512142857142},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":113,"model":{"name":"deepfile/embedder-100p","url":"https://huggingface.co/deepfile/embedder-100p","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2023-07-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":1061.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/paraphrase-multilingual-mpnet-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.027616666666666664,"MultilabelClassification":0.15504843478260869,"Classification":0.5057818035246445,"Retrieval":0.3289649099252585,"Reranking":0.38127770833333335,"Clustering":0.41717028555282365,"PairClassification":0.7307539522497689,"BitextMining":0.2672548282655683},"scoresByTask":{"SemRel24STS":0.3988678333333333,"FinParaSTS":0.0251995,"PolEmo2.0-OUT":0.30668,"JSICK":0.576237,"SwednClusteringP2P":0.24374449999999998,"MalteseNewsClassification":0.189639,"CzechProductReviewSentimentClassification":0.434277,"STS13":0.8262953855483206,"IndicCrosslingualSTS":0.09566358333333334,"SprintDuplicateQuestions":0.9067883265196162,"WikipediaRerankingMultilingual":0.63751725,"EstonianValenceClassification":0.316137,"STS15":0.8591807216993299,"MLQARetrieval":0.33876612244897963,"HALClusteringS2S.v2":0.225838,"PoemSentimentClassification":0.46985350000000004,"BrazilianToxicTweetsClassification":0.17124,"StatcanDialogueDatasetRetrieval":0.1693975,"NordicLangClassification":0.504633,"ArXivHierarchicalClusteringP2P":0.585614,"NusaTranslationBitextMining":0.5003315454545455,"MassiveIntentClassification":0.3640104901960784,"CLSClusteringP2P.v2":0.29018,"WikipediaRetrievalMultilingual":0.400390625,"SinhalaNewsClassification":0.513232,"StackExchangeClustering.v2":0.526949,"MasakhaNEWSClassification":0.6225705,"NusaX-senti":0.57425,"CataloniaTweetClassification":0.46363775,"OpusparcusPC":0.8639115833333334,"ArmenianParaphrasePC":0.912386,"KorHateSpeechMLClassification":0.045704,"WikiClusteringP2P.v2":0.255906,"AmazonCounterfactualClassification":0.634944375,"ArXivHierarchicalClusteringS2S":0.542086,"NepaliNewsClassification":0.852686,"ArguAna":0.52035,"AILAStatutes":0.1947,"ToxicConversationsClassification":0.6748099999999999,"IndicGenBenchFloresBitextMining":0.29116957758620693,"CSFDSKMovieReviewSentimentClassification":0.214893,"SiswatiNewsClassification":0.60125,"CEDRClassification":0.335547,"TempReasonL1":0.01872,"BiorxivClusteringP2P.v2":0.397806,"NorwegianCourtsBitextMining":0.807749,"PunjabiNewsClassification":0.801274,"SpartQA":0.07173,"BUCC.v2":0.5055299999999999,"BornholmBitextMining":0.198057,"BibleNLPBitextMining":0.016006878623188406,"SIB200ClusteringS2S":0.12636475634517766,"RTE3":0.89224125,"TERRa":0.485974,"SwahiliNewsClassification":0.450879,"DBpediaClassification":0.913525,"HagridRetrieval":0.98668,"MultiHateClassification":0.5568636363636363,"WikiCitiesClustering":0.830741,"Tatoeba":0.23087136607142858,"STS14":0.7783933203825716,"KurdishSentimentClassification":0.653749,"PpcPC":0.73558,"STSBenchmark":0.842021805427655,"MasakhaNEWSClusteringS2S":0.3912873125,"MIRACLRetrievalHardNegatives":0.10544333333333333,"NTREXBitextMining":0.21628943528183714,"DalajClassification":0.500338,"SICK-R":0.8091205372065705,"NollySentiBitextMining":0.22586450000000002,"SCIDOCS":0.16603,"BelebeleRetrieval":0.3045707978723404,"IsiZuluNewsClassification":0.220346,"TwitterHjerneRetrieval":0.03716,"STSB":0.31426699999999996,"STSES":0.651527,"KorSarcasmClassification":0.541992,"WinoGrande":0.44185,"SentimentAnalysisHindi":0.465862,"RuBQReranking":0.217596,"CyrillicTurkicLangClassification":0.47793,"FilipinoShopeeReviewsClassification":0.2671875,"STS22.v2":0.520559,"RomaniBibleClustering":0.372557,"MacedonianTweetSentimentClassification":0.398859,"AfriSentiClassification":0.39400908333333334,"STS12":0.7697735281189987,"LegalBenchCorporateLobbying":0.88066,"TweetTopicSingleClassification":0.702422,"MultiEURLEXMultilabelClassification":0.03311217391304348,"T2Reranking":0.525604,"GreekLegalCodeClassification":0.0861085,"SlovakMovieReviewSentimentClassification":0.556445,"FaroeseSTS":0.57104,"SwissJudgementClassification":0.5601046666666667,"TwitterURLCorpus":0.8464911720373662,"TRECCOVID":0.451,"IndicLangClassification":0.350967,"GujaratiNewsClassification":0.790288,"ItaCaseholdClassification":0.623077,"FloresBitextMining":0.1353957668067227,"Robust04InstructionRetrieval":-0.078096,"BulgarianStoreReviewSentimentClassfication":0.33956,"OdiaNewsClassification":0.615861,"TswanaNewsClassification":0.228747,"PlscClusteringP2P.v2":0.667268,"FinancialPhrasebankClassification":0.780698,"News21InstructionRetrieval":-0.004757,"StackOverflowQA":0.59339,"Core17InstructionRetrieval":3e-6,"WebLINXCandidatesReranking":0.099914,"PAC":0.60084,"VoyageMMarcoReranking":0.219123,"MedrxivClusteringP2P.v2":0.394704,"GermanSTSBenchmark":0.8146205,"AlloprofReranking":0.587912,"AlloProfClusteringS2S.v2":0.380702,"ScalaClassification":0.50355225,"indonli":0.509622,"IN22GenBitextMining":0.11639360671936759,"CovidRetrieval":0.00053,"BigPatentClustering.v2":0.442977,"PawsXPairClassification":0.5317332857142857,"NusaXBitextMining":0.1573770909090909,"NusaParagraphEmotionClassification":0.2594973,"LEMBPasskeyRetrieval":0.24,"CTKFactsNLI":0.7354125,"DiaBlaBitextMining":0.073277,"IndonesianIdClickbaitClassification":0.559771,"XNLI":0.6181533571428571},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":114,"model":{"name":"shibing624/text2vec-base-multilingual","url":"https://huggingface.co/shibing624/text2vec-base-chinese-paraphrase","zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":256.0,"releaseDate":"2023-06-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","Dutch","English","French","German","Italian","Polish","Portuguese","Russian","Spanish"],"citation":null,"memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":256,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03968866666666667,"MultilabelClassification":0.1422205652173913,"Retrieval":0.2698766574345459,"Reranking":0.46333103819444443,"STS":0.6932187426540617,"Clustering":0.35328697544076326,"PairClassification":0.777967321619331,"BitextMining":0.39503383052494534},"scoresByTask":{"SemRel24STS":0.47552325,"FinParaSTS":0.22294049999999999,"PolEmo2.0-OUT":0.205061,"JSICK":0.788452,"SwednClusteringP2P":0.172892,"MalteseNewsClassification":0.056378,"CzechProductReviewSentimentClassification":0.488086,"STS13":0.8286479010707746,"IndicCrosslingualSTS":0.1944315,"SprintDuplicateQuestions":0.8547332647001774,"WikipediaRerankingMultilingual":0.6474180625,"EstonianValenceClassification":0.362592,"STS15":0.8831438033558269,"MLQARetrieval":0.3082225510204082,"HALClusteringS2S.v2":0.171763,"PoemSentimentClassification":0.450751,"BrazilianToxicTweetsClassification":0.205762,"StatcanDialogueDatasetRetrieval":0.04122,"STS17":0.7984178599073626,"NordicLangClassification":0.381267,"ArXivHierarchicalClusteringP2P":0.493802,"NusaTranslationBitextMining":0.3324251818181818,"MassiveIntentClassification":0.5199097352941177,"CLSClusteringP2P.v2":0.328714,"WikipediaRetrievalMultilingual":0.369175625,"SinhalaNewsClassification":0.4979,"StackExchangeClustering.v2":0.410218,"MasakhaNEWSClassification":0.515964375,"NusaX-senti":0.5535416666666667,"CataloniaTweetClassification":0.450234,"OpusparcusPC":0.9355878333333334,"ArmenianParaphrasePC":0.940509,"KorHateSpeechMLClassification":0.057339,"WikiClusteringP2P.v2":0.21537871428571428,"ArXivHierarchicalClusteringS2S":0.507806,"NepaliNewsClassification":0.753857,"ArguAna":0.31355,"AILAStatutes":0.15387,"ToxicConversationsClassification":0.6596839999999999,"IndicGenBenchFloresBitextMining":0.3155747586206897,"CSFDSKMovieReviewSentimentClassification":0.255322,"SiswatiNewsClassification":0.61125,"CEDRClassification":0.363656,"TempReasonL1":0.01476,"BiorxivClusteringP2P.v2":0.313771,"NorwegianCourtsBitextMining":0.799708,"PunjabiNewsClassification":0.769427,"SpartQA":0.08546,"BUCC.v2":0.95642825,"BornholmBitextMining":0.174283,"BibleNLPBitextMining":0.04050092934782609,"SIB200ClusteringS2S":0.11803351776649747,"RTE3":0.87663225,"TERRa":0.545583,"SwahiliNewsClassification":0.507031,"DBpediaClassification":0.714355,"HagridRetrieval":0.80219,"MultiHateClassification":0.5687909090909091,"WikiCitiesClustering":0.604727,"Tatoeba":0.5366321785714285,"STS14":0.8736399473803172,"KurdishSentimentClassification":0.755712,"PpcPC":0.909729,"STSBenchmark":0.8644881302053585,"MasakhaNEWSClusteringS2S":0.326408375,"MIRACLRetrievalHardNegatives":0.16081833333333334,"NTREXBitextMining":0.43260696711899793,"DalajClassification":0.500563,"SICK-R":0.7997373018384307,"NollySentiBitextMining":0.21319875000000002,"SCIDOCS":0.09802,"BelebeleRetrieval":0.2636633244680851,"IsiZuluNewsClassification":0.217287,"TwitterHjerneRetrieval":0.18691,"STSB":0.8000655,"STSES":0.688714,"KorSarcasmClassification":0.5375,"WinoGrande":0.31609,"SentimentAnalysisHindi":0.521755,"RuBQReranking":0.476914,"CyrillicTurkicLangClassification":0.331494,"FilipinoShopeeReviewsClassification":0.2602295,"STS22.v2":0.5848337222222222,"RomaniBibleClustering":0.34929,"MacedonianTweetSentimentClassification":0.561282,"AfriSentiClassification":0.4035545,"STS12":0.8091314664846955,"LegalBenchCorporateLobbying":0.81558,"TweetTopicSingleClassification":0.518901,"MultiEURLEXMultilabelClassification":0.02796782608695652,"T2Reranking":0.650723,"GreekLegalCodeClassification":0.187769,"SlovakMovieReviewSentimentClassification":0.60459,"FaroeseSTS":0.637119,"SwissJudgementClassification":0.5258583333333333,"TwitterURLCorpus":0.8345540469219863,"TRECCOVID":0.32101,"IndicLangClassification":0.320797,"GujaratiNewsClassification":0.694992,"ItaCaseholdClassification":0.50905,"FloresBitextMining":0.16753049403554524,"Robust04InstructionRetrieval":-0.070649,"BulgarianStoreReviewSentimentClassfication":0.442857,"OdiaNewsClassification":0.686926,"TswanaNewsClassification":0.169199,"PlscClusteringP2P.v2":0.701101,"FinancialPhrasebankClassification":0.708746,"News21InstructionRetrieval":-0.020953,"StackOverflowQA":0.32472,"Core17InstructionRetrieval":-0.027464,"WebLINXCandidatesReranking":0.05908416666666667,"PAC":0.661106,"VoyageMMarcoReranking":0.38902,"MedrxivClusteringP2P.v2":0.333962,"GermanSTSBenchmark":0.842214,"AlloprofReranking":0.556827,"AlloProfClusteringS2S.v2":0.293119,"ScalaClassification":0.5010375,"indonli":0.544114,"IN22GenBitextMining":0.07123898221343875,"CovidRetrieval":0.15002,"BigPatentClustering.v2":0.311606,"PawsXPairClassification":0.612986,"NusaXBitextMining":0.31721636363636363,"NusaParagraphEmotionClassification":0.3041464,"LEMBPasskeyRetrieval":0.1325,"CTKFactsNLI":0.762688,"DiaBlaBitextMining":0.7780959414618168,"IndonesianIdClickbaitClassification":0.546792,"XNLI":0.7405241428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":115,"model":{"name":"thenlper/gte-base","url":"https://huggingface.co/thenlper/gte-base","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-07-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":209.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02449933333333333,"MultilabelClassification":0.16145012173913043,"Classification":0.4718859767053228,"Retrieval":0.3585506787074562,"Reranking":0.46937479513888886,"Clustering":0.4145381345999139,"PairClassification":0.713675626690052,"BitextMining":0.25303962127164437},"scoresByTask":{"SemRel24STS":0.4049649166666667,"FinParaSTS":0.126613,"PolEmo2.0-OUT":0.252024,"JSICK":0.643867,"SwednClusteringP2P":0.28625449999999997,"MalteseNewsClassification":0.223378,"CzechProductReviewSentimentClassification":0.439502,"STS13":0.8572991921531624,"IndicCrosslingualSTS":0.056757166666666664,"SprintDuplicateQuestions":0.9572927039014849,"WikipediaRerankingMultilingual":0.7378224375,"EstonianValenceClassification":0.300856,"STS15":0.8881032027008194,"MLQARetrieval":0.21160714285714285,"HALClusteringS2S.v2":0.245766,"PoemSentimentClassification":0.49228,"BrazilianToxicTweetsClassification":0.185059,"StatcanDialogueDatasetRetrieval":0.11523,"NordicLangClassification":0.5357,"ArXivHierarchicalClusteringP2P":0.593139,"NusaTranslationBitextMining":0.636556909090909,"MassiveIntentClassification":0.2777501176470588,"CLSClusteringP2P.v2":0.219676,"WikipediaRetrievalMultilingual":0.55542125,"SinhalaNewsClassification":0.352832,"StackExchangeClustering.v2":0.59126,"MasakhaNEWSClassification":0.6167936875,"NusaX-senti":0.5674583333333333,"CataloniaTweetClassification":0.47331625,"OpusparcusPC":0.8723407499999999,"ArmenianParaphrasePC":0.863919,"KorHateSpeechMLClassification":0.036082,"WikiClusteringP2P.v2":0.24802957142857143,"AmazonCounterfactualClassification":0.657710375,"ArXivHierarchicalClusteringS2S":0.58284,"NepaliNewsClassification":0.396631,"ArguAna":0.57122,"AILAStatutes":0.22275,"ToxicConversationsClassification":0.7161279999999999,"IndicGenBenchFloresBitextMining":0.036087551724137926,"CSFDSKMovieReviewSentimentClassification":0.213916,"SiswatiNewsClassification":0.42,"CEDRClassification":0.338789,"TempReasonL1":0.0122,"BiorxivClusteringP2P.v2":0.406174,"NorwegianCourtsBitextMining":0.92617,"PunjabiNewsClassification":0.609554,"SpartQA":0.02879,"BUCC.v2":0.1991825,"BornholmBitextMining":0.321639,"BibleNLPBitextMining":0.017493384057971014,"SIB200ClusteringS2S":0.09477464467005076,"RTE3":0.854939,"TERRa":0.469215,"SwahiliNewsClassification":0.496387,"DBpediaClassification":0.829199,"HagridRetrieval":0.98632,"MultiHateClassification":0.5444818181818182,"WikiCitiesClustering":0.872155,"Tatoeba":0.06375985714285715,"STS14":0.8150806522502527,"KurdishSentimentClassification":0.572572,"PpcPC":0.663057,"STSBenchmark":0.8573266847750144,"MasakhaNEWSClusteringS2S":0.3941144375,"MIRACLRetrievalHardNegatives":0.1444311111111111,"NTREXBitextMining":0.19766826513569938,"DalajClassification":0.500676,"SICK-R":0.7885870555294795,"NollySentiBitextMining":0.288861,"SCIDOCS":0.23132000000000003,"BelebeleRetrieval":0.29971271276595746,"IsiZuluNewsClassification":0.23125,"TwitterHjerneRetrieval":0.07866,"STSB":0.459048,"STSES":0.723831,"KorSarcasmClassification":0.525488,"WinoGrande":0.08359,"SentimentAnalysisHindi":0.343758,"RuBQReranking":0.402726,"CyrillicTurkicLangClassification":0.654883,"FilipinoShopeeReviewsClassification":0.290454,"STS22.v2":0.5144635000000001,"RomaniBibleClustering":0.387176,"MacedonianTweetSentimentClassification":0.360053,"AfriSentiClassification":0.36340516666666667,"STS12":0.7571298531799368,"LegalBenchCorporateLobbying":0.91814,"TweetTopicSingleClassification":0.719728,"MultiEURLEXMultilabelClassification":0.023942608695652172,"T2Reranking":0.612007,"GreekLegalCodeClassification":0.031152,"SlovakMovieReviewSentimentClassification":0.561572,"FaroeseSTS":0.630901,"SwissJudgementClassification":0.523721,"TwitterURLCorpus":0.8554712254033734,"TRECCOVID":0.68783,"IndicLangClassification":0.371885,"GujaratiNewsClassification":0.408574,"ItaCaseholdClassification":0.697285,"FloresBitextMining":0.13656865483434752,"Robust04InstructionRetrieval":-0.051403,"BulgarianStoreReviewSentimentClassfication":0.385165,"OdiaNewsClassification":0.49479,"TswanaNewsClassification":0.273511,"PlscClusteringP2P.v2":0.675219,"FinancialPhrasebankClassification":0.818993,"News21InstructionRetrieval":0.004136,"StackOverflowQA":0.80546,"Core17InstructionRetrieval":-0.026231,"WebLINXCandidatesReranking":0.08472533333333333,"PAC":0.625891,"VoyageMMarcoReranking":0.313557,"MedrxivClusteringP2P.v2":0.364043,"GermanSTSBenchmark":0.690791,"AlloprofReranking":0.665411,"AlloProfClusteringS2S.v2":0.375952,"ScalaClassification":0.50075675,"indonli":0.479945,"IN22GenBitextMining":0.0352165,"CovidRetrieval":0.19123,"BigPatentClustering.v2":0.296037,"PawsXPairClassification":0.5297201428571429,"NusaXBitextMining":0.28726945454545455,"NusaParagraphEmotionClassification":0.2858675,"LEMBPasskeyRetrieval":0.31,"CTKFactsNLI":0.7081575,"DiaBlaBitextMining":0.143042,"IndonesianIdClickbaitClassification":0.557147,"XNLI":0.5963745714285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":116,"model":{"name":"nomic-ai/nomic-embed-text-v1.5","url":"https://huggingface.co/nomic-ai/nomic-embed-text-v1.5","zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-02-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{nussbaum2024nomic,\n title={Nomic Embed: Training a Reproducible Long Context Text Embedder},\n author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},\n year={2024},\n eprint={2402.01613},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n","memoryUsageMb":522.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/5f7b461e5a13b5636692d1c9f1141b27232fe966/src/contrastors/configs/train/contrastive_finetune.yaml","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["nomic"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":0.440994968702611,"meanTaskType":0.37840422093514303,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018476,"MultilabelClassification":0.16789334782608695,"Classification":0.48506522162196924,"Retrieval":0.3409443107051725,"Reranking":0.4484272926500312,"STS":0.5945159831067963,"Clustering":0.3973832111256659,"PairClassification":0.7189754515465562,"BitextMining":0.27090916983400926},"scoresByTask":{"SemRel24STS":0.4354766000733399,"FinParaSTS":0.11762822046046062,"PolEmo2.0-OUT":0.24433198380566798,"JSICK":0.690603414729546,"SwednClusteringP2P":0.24795576277620987,"MalteseNewsClassification":0.228037,"CzechProductReviewSentimentClassification":0.449267578125,"STS13":0.807169234916371,"IndicCrosslingualSTS":0.07701696631931629,"SprintDuplicateQuestions":0.9598024920069808,"WikipediaRerankingMultilingual":0.7227982804232804,"EstonianValenceClassification":0.29229828850855744,"STS15":0.8523035009567322,"MLQARetrieval":0.16999122448979592,"HALClusteringS2S.v2":0.22146048132761015,"PoemSentimentClassification":0.5703159340659341,"BrazilianToxicTweetsClassification":0.191455,"StatcanDialogueDatasetRetrieval":0.12760749999999998,"STS17":0.46242069116675305,"NordicLangClassification":0.5163666666666666,"ArXivHierarchicalClusteringP2P":0.6008051520875409,"NusaTranslationBitextMining":0.6669260909090909,"MassiveIntentClassification":0.2811682325363714,"CLSClusteringP2P.v2":0.1909070026594335,"WikipediaRetrievalMultilingual":0.50695875,"SinhalaNewsClassification":0.369873046875,"StackExchangeClustering.v2":0.6046466288318849,"MasakhaNEWSClassification":0.6211103071574202,"NusaX-senti":0.5774583333333333,"CataloniaTweetClassification":0.47997821362289345,"OpusparcusPC":0.8814792216739223,"ArmenianParaphrasePC":0.8873975412104699,"KorHateSpeechMLClassification":0.055228,"WikiClusteringP2P.v2":0.2495719363858869,"AmazonCounterfactualClassification":0.6488479297713661,"ArXivHierarchicalClusteringS2S":0.5538342532333089,"NepaliNewsClassification":0.6,"ArguAna":0.52018,"AILAStatutes":0.19159,"ToxicConversationsClassification":0.67177734375,"IndicGenBenchFloresBitextMining":0.031728094827586206,"CSFDSKMovieReviewSentimentClassification":0.230517578125,"SiswatiNewsClassification":0.46875,"CEDRClassification":0.343305,"TempReasonL1":0.01706,"BiorxivClusteringP2P.v2":0.41947123498616856,"NorwegianCourtsBitextMining":0.922515,"PunjabiNewsClassification":0.5738853503184713,"SpartQA":0.06303,"BUCC.v2":0.20233325,"BornholmBitextMining":0.474697,"BibleNLPBitextMining":0.017341138285024156,"SIB200ClusteringS2S":0.08207832637484624,"RTE3":0.8512572448206276,"TERRa":0.4714138621014874,"SwahiliNewsClassification":0.50791015625,"DBpediaClassification":0.9095703125,"HagridRetrieval":0.98545,"MultiHateClassification":0.5583272727272728,"WikiCitiesClustering":0.7943921043303649,"Tatoeba":0.05832448214285714,"STS14":0.7658383975698424,"KurdishSentimentClassification":0.5933568193256165,"PpcPC":0.6929726300258248,"STSBenchmark":0.8139924460748615,"MasakhaNEWSClusteringS2S":0.36156223444570884,"MIRACLRetrievalHardNegatives":0.08774277777777778,"NTREXBitextMining":0.2087788168058455,"DalajClassification":0.5012387387387388,"SICK-R":0.7544467557272925,"NollySentiBitextMining":0.29565625,"SCIDOCS":0.17629,"BelebeleRetrieval":0.25979734042553193,"IsiZuluNewsClassification":0.22380319148936173,"TwitterHjerneRetrieval":0.06737,"STSB":0.4193086883969097,"STSES":0.7157862019177685,"KorSarcasmClassification":0.545751953125,"WinoGrande":0.46788,"SentimentAnalysisHindi":0.4015303950756207,"RuBQReranking":0.365334896706144,"CyrillicTurkicLangClassification":0.665283203125,"FilipinoShopeeReviewsClassification":0.29279785156250004,"STS22.v2":0.5114974155765681,"RomaniBibleClustering":0.3755266288231841,"MacedonianTweetSentimentClassification":0.35434591747146615,"AfriSentiClassification":0.3756616143427105,"STS12":0.7116012635813495,"LegalBenchCorporateLobbying":0.92189,"TweetTopicSingleClassification":0.6834613112817484,"MultiEURLEXMultilabelClassification":0.021441739130434782,"T2Reranking":0.6109359663189391,"GreekLegalCodeClassification":0.026708984375,"SlovakMovieReviewSentimentClassification":0.56435546875,"FaroeseSTS":0.6812046852290111,"SwissJudgementClassification":0.5486351376488096,"TwitterURLCorpus":0.8522205028000035,"TRECCOVID":0.63436,"IndicLangClassification":0.4784502597146426,"GujaratiNewsClassification":0.42116843702579665,"ItaCaseholdClassification":0.5538461538461539,"FloresBitextMining":0.1335938062155897,"Robust04InstructionRetrieval":-0.064901,"BulgarianStoreReviewSentimentClassfication":0.3302197802197802,"OdiaNewsClassification":0.5892900025601915,"TswanaNewsClassification":0.2806981519507187,"PlscClusteringP2P.v2":0.6633484374913852,"FinancialPhrasebankClassification":0.8421819787985866,"News21InstructionRetrieval":0.03145,"StackOverflowQA":0.63621,"Core17InstructionRetrieval":-0.021977,"WebLINXCandidatesReranking":0.10524664002809374,"PAC":0.6710686359687229,"VoyageMMarcoReranking":0.29258988556309606,"MedrxivClusteringP2P.v2":0.3804370276490524,"GermanSTSBenchmark":0.6959612470126179,"AlloprofReranking":0.5936580868606335,"AlloProfClusteringS2S.v2":0.35589784272212277,"ScalaClassification":0.500439453125,"indonli":0.47852342051885777,"IN22GenBitextMining":0.06643300592885376,"CovidRetrieval":0.13109,"BigPatentClustering.v2":0.2562363238859456,"PawsXPairClassification":0.5410333107238539,"NusaXBitextMining":0.30311227272727276,"NusaParagraphEmotionClassification":0.27657588940435185,"LEMBPasskeyRetrieval":0.17250000000000001,"CTKFactsNLI":0.7076697820073804,"DiaBlaBitextMining":0.14038,"IndonesianIdClickbaitClassification":0.5651806726802053,"XNLI":0.5849599591227098},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":117,"model":{"name":"intfloat/e5-base","url":"https://huggingface.co/intfloat/e5-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-12-26","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":418.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google-bert/bert-base-uncased","supersededBy":"intfloat/e5-base-v2","extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.034867999999999996,"MultilabelClassification":0.16138224347826088,"Classification":0.4777079040920491,"Retrieval":0.37686918147223425,"Reranking":0.41486966319444446,"Clustering":0.3868909855732189,"PairClassification":0.7181728377516774,"BitextMining":0.29547724550459953},"scoresByTask":{"SemRel24STS":0.3867500833333333,"FinParaSTS":0.1281795,"PolEmo2.0-OUT":0.220445,"JSICK":0.582531,"SwednClusteringP2P":0.2591495,"MalteseNewsClassification":0.214628,"CzechProductReviewSentimentClassification":0.454102,"STS13":0.8331401180333396,"IndicCrosslingualSTS":0.01589516666666667,"SprintDuplicateQuestions":0.9487673936635739,"WikipediaRerankingMultilingual":0.7307373125,"EstonianValenceClassification":0.301345,"STS15":0.8834876527774259,"MLQARetrieval":0.20333561224489796,"HALClusteringS2S.v2":0.220842,"PoemSentimentClassification":0.529226,"BrazilianToxicTweetsClassification":0.179492,"StatcanDialogueDatasetRetrieval":0.10786500000000002,"NordicLangClassification":0.5934,"ArXivHierarchicalClusteringP2P":0.5516,"NusaTranslationBitextMining":0.7179084545454546,"MassiveIntentClassification":0.28848203921568627,"CLSClusteringP2P.v2":0.159282,"WikipediaRetrievalMultilingual":0.56395875,"SinhalaNewsClassification":0.378076,"StackExchangeClustering.v2":0.542585,"MasakhaNEWSClassification":0.6147369375,"NusaX-senti":0.5817291666666667,"CataloniaTweetClassification":0.4653305,"OpusparcusPC":0.8837105,"ArmenianParaphrasePC":0.878075,"KorHateSpeechMLClassification":0.049877,"WikiClusteringP2P.v2":0.24268421428571427,"AmazonCounterfactualClassification":0.681531625,"ArXivHierarchicalClusteringS2S":0.549871,"NepaliNewsClassification":0.425146,"ArguAna":0.51411,"AILAStatutes":0.17722,"ToxicConversationsClassification":0.74117,"IndicGenBenchFloresBitextMining":0.05477467241379311,"CSFDSKMovieReviewSentimentClassification":0.222705,"SiswatiNewsClassification":0.46125,"CEDRClassification":0.333209,"TempReasonL1":0.01532,"BiorxivClusteringP2P.v2":0.374893,"NorwegianCourtsBitextMining":0.932749,"PunjabiNewsClassification":0.549045,"SpartQA":0.03173,"BUCC.v2":0.24906224999999999,"BornholmBitextMining":0.40086,"BibleNLPBitextMining":0.020559020531400966,"SIB200ClusteringS2S":0.09417049238578681,"RTE3":0.8588545,"TERRa":0.464249,"SwahiliNewsClassification":0.49751,"DBpediaClassification":0.893066,"HagridRetrieval":0.98471,"MultiHateClassification":0.5522090909090909,"WikiCitiesClustering":0.802858,"Tatoeba":0.08107195535714286,"STS14":0.7852252410630708,"KurdishSentimentClassification":0.592954,"PpcPC":0.668106,"STSBenchmark":0.8618102563389962,"MasakhaNEWSClusteringS2S":0.3817725625,"MIRACLRetrievalHardNegatives":0.140755,"NTREXBitextMining":0.24868501931106474,"DalajClassification":0.497072,"SICK-R":0.7966419880841734,"NollySentiBitextMining":0.31002125,"SCIDOCS":0.1899,"BelebeleRetrieval":0.29298090425531914,"IsiZuluNewsClassification":0.245346,"TwitterHjerneRetrieval":0.16781,"STSB":0.37654849999999995,"STSES":0.760396,"KorSarcasmClassification":0.545557,"WinoGrande":0.51983,"SentimentAnalysisHindi":0.379638,"RuBQReranking":0.218047,"CyrillicTurkicLangClassification":0.519287,"FilipinoShopeeReviewsClassification":0.287671,"STS22.v2":0.5100597222222222,"RomaniBibleClustering":0.381781,"MacedonianTweetSentimentClassification":0.322212,"AfriSentiClassification":0.3957765833333333,"STS12":0.7421899903211739,"LegalBenchCorporateLobbying":0.89475,"TweetTopicSingleClassification":0.685529,"MultiEURLEXMultilabelClassification":0.02970521739130435,"T2Reranking":0.574347,"GreekLegalCodeClassification":0.0223385,"SlovakMovieReviewSentimentClassification":0.557715,"FaroeseSTS":0.679557,"SwissJudgementClassification":0.5323213333333333,"TwitterURLCorpus":0.8597819287477351,"TRECCOVID":0.7963799999999999,"IndicLangClassification":0.430827,"GujaratiNewsClassification":0.430273,"ItaCaseholdClassification":0.636199,"FloresBitextMining":0.18004886979619433,"Robust04InstructionRetrieval":-0.058851,"BulgarianStoreReviewSentimentClassfication":0.367582,"OdiaNewsClassification":0.595949,"TswanaNewsClassification":0.252977,"PlscClusteringP2P.v2":0.677412,"FinancialPhrasebankClassification":0.791034,"News21InstructionRetrieval":-0.021684,"StackOverflowQA":0.81659,"Core17InstructionRetrieval":-0.024069,"WebLINXCandidatesReranking":0.08581266666666666,"PAC":0.626383,"VoyageMMarcoReranking":0.251106,"MedrxivClusteringP2P.v2":0.346347,"GermanSTSBenchmark":0.6953145000000001,"AlloprofReranking":0.629168,"AlloProfClusteringS2S.v2":0.354399,"ScalaClassification":0.49907250000000003,"indonli":0.482172,"IN22GenBitextMining":0.054693517786561265,"CovidRetrieval":0.0164,"BigPatentClustering.v2":0.250609,"PawsXPairClassification":0.5313701428571428,"NusaXBitextMining":0.36081718181818184,"NusaParagraphEmotionClassification":0.29732159999999996,"LEMBPasskeyRetrieval":0.35,"CTKFactsNLI":0.7272460000000001,"DiaBlaBitextMining":0.229953,"IndonesianIdClickbaitClassification":0.579899,"XNLI":0.59756875},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":118,"model":{"name":"intfloat/e5-small-v2","url":"https://huggingface.co/intfloat/e5-small-v2","zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":0.4447337493340823,"meanTaskType":0.3797151479688635,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.028502,"MultilabelClassification":0.15144116683803205,"Classification":0.480735794274148,"Retrieval":0.39381258695381227,"Reranking":0.4443565767704942,"STS":0.5986546788718536,"Clustering":0.3752865668794403,"PairClassification":0.7212531388709587,"BitextMining":0.28039782226103266},"scoresByTask":{"SemRel24STS":0.4178052256882217,"FinParaSTS":0.15429769290780737,"PolEmo2.0-OUT":0.2562753036437247,"JSICK":0.6848384494860525,"SwednClusteringP2P":0.20805747461175703,"MalteseNewsClassification":0.15441880713974748,"CzechProductReviewSentimentClassification":0.44833984375,"STS13":0.8231720264513166,"IndicCrosslingualSTS":0.021724887144665483,"SprintDuplicateQuestions":0.9508344066205744,"WikipediaRerankingMultilingual":0.7324946593915344,"EstonianValenceClassification":0.2832518337408313,"STS15":0.8720998142742838,"MLQARetrieval":0.20453551020408164,"HALClusteringS2S.v2":0.19681668684293874,"PoemSentimentClassification":0.4947115384615384,"BrazilianToxicTweetsClassification":0.176708984375,"StatcanDialogueDatasetRetrieval":0.11463499999999999,"STS17":0.3476703201059355,"NordicLangClassification":0.5287000000000001,"ArXivHierarchicalClusteringP2P":0.538363445953143,"NusaTranslationBitextMining":0.7111474129890738,"MassiveIntentClassification":0.2884261970885975,"CLSClusteringP2P.v2":0.18591526429853028,"WikipediaRetrievalMultilingual":0.55025125,"SinhalaNewsClassification":0.38330078125,"StackExchangeClustering.v2":0.4655300833419639,"MasakhaNEWSClassification":0.6067190364440576,"NusaX-senti":0.5653958333333333,"CataloniaTweetClassification":0.4678766887234629,"OpusparcusPC":0.8844073749097277,"ArmenianParaphrasePC":0.881718475568916,"KorHateSpeechMLClassification":0.04545900834560628,"WikiClusteringP2P.v2":0.23018825235081394,"AmazonCounterfactualClassification":0.6794170523516321,"ArXivHierarchicalClusteringS2S":0.5286100414159316,"NepaliNewsClassification":0.541845703125,"ArguAna":0.41794,"AILAStatutes":0.20214,"ToxicConversationsClassification":0.6373046875,"IndicGenBenchFloresBitextMining":0.054636687339249874,"CSFDSKMovieReviewSentimentClassification":0.2177734375,"SiswatiNewsClassification":0.4462499999999999,"CEDRClassification":0.3549946865037195,"TempReasonL1":0.0151,"BiorxivClusteringP2P.v2":0.37464846514243255,"NorwegianCourtsBitextMining":0.9078947368421053,"PunjabiNewsClassification":0.5745222929936304,"SpartQA":0.1383,"BUCC.v2":0.2054008995567338,"BornholmBitextMining":0.40004206349206345,"BibleNLPBitextMining":0.018061966267723044,"SIB200ClusteringS2S":0.08878233843626429,"RTE3":0.8611256521557031,"TERRa":0.4549634897825856,"SwahiliNewsClassification":0.507763671875,"DBpediaClassification":0.87236328125,"HagridRetrieval":0.98772,"MultiHateClassification":0.5612272727272728,"WikiCitiesClustering":0.8170551340159667,"Tatoeba":0.07309527255105056,"STS14":0.8006919084564517,"KurdishSentimentClassification":0.5781580271766482,"PpcPC":0.7190144000788568,"STSBenchmark":0.8491603276683479,"MasakhaNEWSClusteringS2S":0.3766047652548593,"MIRACLRetrievalHardNegatives":0.14849666666666667,"NTREXBitextMining":0.2385083110292525,"DalajClassification":0.5002252252252253,"SICK-R":0.792507216483598,"NollySentiBitextMining":0.31328135632699833,"SCIDOCS":0.17714,"BelebeleRetrieval":0.28173813829787236,"IsiZuluNewsClassification":0.24960106382978728,"TwitterHjerneRetrieval":0.30469,"STSB":0.4578418580321469,"STSES":0.7607557603005908,"KorSarcasmClassification":0.542041015625,"WinoGrande":0.48562,"SentimentAnalysisHindi":0.3988635263308418,"RuBQReranking":0.36709630397946547,"CyrillicTurkicLangClassification":0.651806640625,"FilipinoShopeeReviewsClassification":0.2949462890625,"STS22.v2":0.4583555417633497,"RomaniBibleClustering":0.3870972277166621,"MacedonianTweetSentimentClassification":0.37875329236172084,"AfriSentiClassification":0.38088906894919744,"STS12":0.737079788758814,"LegalBenchCorporateLobbying":0.91466,"TweetTopicSingleClassification":0.6744831659775545,"MultiEURLEXMultilabelClassification":0.025624347826086958,"T2Reranking":0.6014494193214792,"GreekLegalCodeClassification":0.0221923828125,"SlovakMovieReviewSentimentClassification":0.549658203125,"FaroeseSTS":0.700810874426783,"SwissJudgementClassification":0.5599030493123974,"TwitterURLCorpus":0.859557793642612,"TRECCOVID":0.74373,"IndicLangClassification":0.4734006180550989,"GujaratiNewsClassification":0.42314112291350536,"ItaCaseholdClassification":0.651131221719457,"FloresBitextMining":0.16229723596026824,"Robust04InstructionRetrieval":-0.063308,"BulgarianStoreReviewSentimentClassfication":0.3467032967032967,"OdiaNewsClassification":0.5495002876381295,"TswanaNewsClassification":0.2609856262833676,"PlscClusteringP2P.v2":0.6528197210308306,"FinancialPhrasebankClassification":0.8084363957597173,"News21InstructionRetrieval":-0.017201,"StackOverflowQA":0.8353,"Core17InstructionRetrieval":-0.004997,"WebLINXCandidatesReranking":0.06901390771809557,"PAC":0.6688386909933391,"VoyageMMarcoReranking":0.3217473246492847,"MedrxivClusteringP2P.v2":0.3480660307591203,"GermanSTSBenchmark":0.6996631700012932,"AlloprofReranking":0.5743378455631061,"AlloProfClusteringS2S.v2":0.29482130747312346,"ScalaClassification":0.501611328125,"indonli":0.47557514537623957,"IN22GenBitextMining":0.06757130464822607,"CovidRetrieval":0.18663,"BigPatentClustering.v2":0.31120883142670647,"PawsXPairClassification":0.5131433947207154,"NusaXBitextMining":0.29333300741488033,"NusaParagraphEmotionClassification":0.28485585324431334,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7231714020416788,"DiaBlaBitextMining":0.19990143497579874,"IndonesianIdClickbaitClassification":0.5600493061816852,"XNLI":0.6102729926829361},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":119,"model":{"name":"minishlab/potion-multilingual-128M","url":"https://huggingface.co/minishlab/potion-multilingual-128M","zeroShotPct":97,"activeParamsB":0.0,"totalParamsB":0.128,"embeddingDim":256,"maxTokens":null,"releaseDate":"2025-05-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Czech","Danish","Dutch","English","Esperanto","Estonian","Filipino","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Kurdish (Latin)","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian Bokmål","Nyanja","Panjabi","Persian","Polish","Portuguese","Pushto","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sindhi","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tajik (Latin)","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":489.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/minishlab/tokenlearn-c4-multilingual-bge-m3","adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":97,"activeParamsB":0.0,"totalParamsB":0.128,"embeddingDim":256,"maxTokens":null,"meanTask":0.4719929877898704,"meanTaskType":0.40179441720199915,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.020791333333333332,"MultilabelClassification":0.1511484347826087,"Classification":0.523615276560233,"Retrieval":0.3786165785385273,"Reranking":0.47389146875,"STS":0.612293523989899,"Clustering":0.37633561232097534,"PairClassification":0.7138897922077923,"BitextMining":0.40715040100128996},"scoresByTask":{"SemRel24STS":0.5917523333333333,"FinParaSTS":0.097789,"PolEmo2.0-OUT":0.309312,"JSICK":0.762142,"SwednClusteringP2P":0.322481,"MalteseNewsClassification":0.136178,"CzechProductReviewSentimentClassification":0.468213,"STS13":0.742303,"IndicCrosslingualSTS":0.14809666666666668,"SprintDuplicateQuestions":0.911136,"WikipediaRerankingMultilingual":0.7940908125,"EstonianValenceClassification":0.332396,"STS15":0.793331,"MLQARetrieval":0.4142339795918367,"HALClusteringS2S.v2":0.147002,"PoemSentimentClassification":0.4052745,"BrazilianToxicTweetsClassification":0.178711,"StatcanDialogueDatasetRetrieval":0.02974,"STS17":0.6186672727272727,"NordicLangClassification":0.4962,"ArXivHierarchicalClusteringP2P":0.492931,"NusaTranslationBitextMining":0.5850589090909092,"MassiveIntentClassification":0.49527415686274506,"CLSClusteringP2P.v2":0.344045,"WikipediaRetrievalMultilingual":0.630941875,"SinhalaNewsClassification":0.692529,"StackExchangeClustering.v2":0.471612,"MasakhaNEWSClassification":0.6776000625,"NusaX-senti":0.5963541666666666,"CataloniaTweetClassification":0.454905,"OpusparcusPC":0.8816765000000001,"ArmenianParaphrasePC":0.930223,"KorHateSpeechMLClassification":0.066814,"WikiClusteringP2P.v2":0.23494728571428572,"AmazonCounterfactualClassification":0.6485725,"ArXivHierarchicalClusteringS2S":0.512061,"NepaliNewsClassification":0.915088,"ArguAna":0.40152,"AILAStatutes":0.16789,"ToxicConversationsClassification":0.653564,"IndicGenBenchFloresBitextMining":0.46349481896551725,"CSFDSKMovieReviewSentimentClassification":0.237744,"SiswatiNewsClassification":0.54,"CEDRClassification":0.342667,"TempReasonL1":0.00471,"BiorxivClusteringP2P.v2":0.321787,"NorwegianCourtsBitextMining":0.862135,"PunjabiNewsClassification":0.840127,"SpartQA":0.20083,"BUCC.v2":0.7564305,"BornholmBitextMining":0.303097,"BibleNLPBitextMining":0.03562628985507246,"SIB200ClusteringS2S":0.1403107614213198,"RTE3":0.869825,"TERRa":0.503342,"SwahiliNewsClassification":0.595068,"DBpediaClassification":0.835693,"HagridRetrieval":0.94308,"MultiHateClassification":0.5479272727272727,"WikiCitiesClustering":0.664138,"Tatoeba":0.3256497232142857,"STS14":0.697261,"KurdishSentimentClassification":0.601912,"PpcPC":0.694775,"STSBenchmark":0.717519,"MasakhaNEWSClusteringS2S":0.37163375,"MIRACLRetrievalHardNegatives":0.1861788888888889,"NTREXBitextMining":0.42445412995824633,"DalajClassification":0.50214,"SICK-R":0.608512,"NollySentiBitextMining":0.28241675,"SCIDOCS":0.06695,"BelebeleRetrieval":0.42518367021276593,"IsiZuluNewsClassification":0.253324,"TwitterHjerneRetrieval":0.3721,"STSB":0.7125565,"STSES":0.706588,"KorSarcasmClassification":0.545703,"WinoGrande":0.41691,"SentimentAnalysisHindi":0.43719,"RuBQReranking":0.469428,"CyrillicTurkicLangClassification":0.655518,"FilipinoShopeeReviewsClassification":0.2817385,"STS22.v2":0.6010856111111111,"RomaniBibleClustering":0.382829,"MacedonianTweetSentimentClassification":0.541703,"AfriSentiClassification":0.3988313333333333,"STS12":0.64349,"LegalBenchCorporateLobbying":0.83281,"TweetTopicSingleClassification":0.542705,"MultiEURLEXMultilabelClassification":0.03137217391304348,"T2Reranking":0.65022,"GreekLegalCodeClassification":0.1731935,"SlovakMovieReviewSentimentClassification":0.582275,"FaroeseSTS":0.647274,"SwissJudgementClassification":0.540429,"TwitterURLCorpus":0.754543,"TRECCOVID":0.41697,"IndicLangClassification":0.426991,"GujaratiNewsClassification":0.774431,"ItaCaseholdClassification":0.518552,"FloresBitextMining":0.2264187184149522,"Robust04InstructionRetrieval":-0.044155,"BulgarianStoreReviewSentimentClassfication":0.431868,"OdiaNewsClassification":0.609392,"TswanaNewsClassification":0.316222,"PlscClusteringP2P.v2":0.701384,"FinancialPhrasebankClassification":0.624072,"News21InstructionRetrieval":-0.01031,"StackOverflowQA":0.46405,"Core17InstructionRetrieval":-0.007909,"WebLINXCandidatesReranking":0.080692,"PAC":0.622908,"VoyageMMarcoReranking":0.365693,"MedrxivClusteringP2P.v2":0.321571,"GermanSTSBenchmark":0.708329,"AlloprofReranking":0.483225,"AlloProfClusteringS2S.v2":0.272558,"ScalaClassification":0.5006715,"indonli":0.494117,"IN22GenBitextMining":0.3052315553359684,"CovidRetrieval":0.4885,"BigPatentClustering.v2":0.320079,"PawsXPairClassification":0.468016,"NusaXBitextMining":0.36035981818181817,"NusaParagraphEmotionClassification":0.3458584,"LEMBPasskeyRetrieval":0.3525,"CTKFactsNLI":0.7279089999999999,"DiaBlaBitextMining":0.362582,"IndonesianIdClickbaitClassification":0.545987,"XNLI":0.6172252142857142},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","MLQARetrieval","T2Reranking"],"experiments":null},{"rank":120,"model":{"name":"sentence-transformers/static-similarity-mrl-multilingual-v1","url":"https://huggingface.co/sentence-transformers/static-similarity-mrl-multilingual-v1","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.108,"embeddingDim":1024,"maxTokens":null,"releaseDate":"2025-01-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Albanian","Arabic","Armenian","Bulgarian","Burmese","Catalan","Chinese","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Hebrew","Hindi","Hungarian","Indonesian","Italian","Japanese","Korean","Kurdish (Latin)","Latvian","Lithuanian","Macedonian","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Norwegian Bokmål","Persian","Polish","Portuguese","Romanian","Russian","Serbian","Slovak","Slovenian","Spanish","Swedish","Thai","Turkish","Ukrainian","Urdu","Vietnamese"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":413.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/blog/static-embeddings","publicTrainingData":"https://huggingface.co/collections/sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","TatoebaBitextMining"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.108,"embeddingDim":1024,"maxTokens":null,"meanTask":0.4720952134019732,"meanTaskType":0.4127700250754184,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.012445333333333334,"MultilabelClassification":0.13829875652173915,"Classification":0.4859774168174563,"Retrieval":0.41208957407440905,"Reranking":0.49447746527777775,"STS":0.640241158459596,"Clustering":0.30668004117850345,"PairClassification":0.743437488095238,"BitextMining":0.5061736585873792},"scoresByTask":{"SemRel24STS":0.5242039166666667,"FinParaSTS":0.1682345,"PolEmo2.0-OUT":0.382996,"JSICK":0.786656,"SwednClusteringP2P":0.122317,"MalteseNewsClassification":0.052068,"CzechProductReviewSentimentClassification":0.451758,"STS13":0.743251,"IndicCrosslingualSTS":0.08022891666666666,"SprintDuplicateQuestions":0.921152,"WikipediaRerankingMultilingual":0.811353625,"EstonianValenceClassification":0.267359,"STS15":0.825291,"MLQARetrieval":0.41302867346938776,"HALClusteringS2S.v2":0.084489,"PoemSentimentClassification":0.318553,"BrazilianToxicTweetsClassification":0.197852,"StatcanDialogueDatasetRetrieval":0.030182499999999998,"STS17":0.7289600909090909,"NordicLangClassification":0.5118,"ArXivHierarchicalClusteringP2P":0.477162,"NusaTranslationBitextMining":0.6881628181818182,"MassiveIntentClassification":0.4635581568627451,"CLSClusteringP2P.v2":0.296145,"WikipediaRetrievalMultilingual":0.657781875,"SinhalaNewsClassification":0.322949,"StackExchangeClustering.v2":0.3057,"MasakhaNEWSClassification":0.5900494374999999,"NusaX-senti":0.5460625,"CataloniaTweetClassification":0.44783775000000003,"OpusparcusPC":0.9005803333333334,"ArmenianParaphrasePC":0.920078,"KorHateSpeechMLClassification":0.039224,"WikiClusteringP2P.v2":0.19651035714285717,"AmazonCounterfactualClassification":0.68012575,"ArXivHierarchicalClusteringS2S":0.398134,"NepaliNewsClassification":0.747803,"ArguAna":0.44107,"AILAStatutes":0.16629,"ToxicConversationsClassification":0.60083,"IndicGenBenchFloresBitextMining":0.5659255,"CSFDSKMovieReviewSentimentClassification":0.239258,"SiswatiNewsClassification":0.70875,"CEDRClassification":0.374655,"TempReasonL1":0.00898,"BiorxivClusteringP2P.v2":0.293004,"NorwegianCourtsBitextMining":0.935965,"PunjabiNewsClassification":0.671338,"SpartQA":0.15681,"BUCC.v2":0.96580575,"BornholmBitextMining":0.479781,"BibleNLPBitextMining":0.0506850211352657,"SIB200ClusteringS2S":0.05913661421319797,"RTE3":0.89271375,"TERRa":0.585183,"SwahiliNewsClassification":0.509863,"DBpediaClassification":0.836084,"HagridRetrieval":0.97271,"MultiHateClassification":0.5564545454545455,"WikiCitiesClustering":0.630435,"Tatoeba":0.5019810357142858,"STS14":0.728186,"KurdishSentimentClassification":0.602667,"PpcPC":0.745729,"STSBenchmark":0.799425,"MasakhaNEWSClusteringS2S":0.3060616875,"MIRACLRetrievalHardNegatives":0.18841444444444444,"NTREXBitextMining":0.4283457719206681,"DalajClassification":0.500788,"SICK-R":0.683204,"NollySentiBitextMining":0.29543525,"SCIDOCS":0.10891,"BelebeleRetrieval":0.3777348404255319,"IsiZuluNewsClassification":0.255718,"TwitterHjerneRetrieval":0.2482,"STSB":0.7181565000000001,"STSES":0.720103,"KorSarcasmClassification":0.53457,"WinoGrande":0.48285,"SentimentAnalysisHindi":0.4469,"RuBQReranking":0.52593,"CyrillicTurkicLangClassification":0.587939,"FilipinoShopeeReviewsClassification":0.2923585,"STS22.v2":0.5725741111111111,"RomaniBibleClustering":0.331105,"MacedonianTweetSentimentClassification":0.445478,"AfriSentiClassification":0.40455083333333336,"STS12":0.7157,"LegalBenchCorporateLobbying":0.85336,"TweetTopicSingleClassification":0.438925,"MultiEURLEXMultilabelClassification":0.02769478260869565,"T2Reranking":0.649287,"GreekLegalCodeClassification":0.2820315,"SlovakMovieReviewSentimentClassification":0.562061,"FaroeseSTS":0.716824,"SwissJudgementClassification":0.544183,"TwitterURLCorpus":0.831149,"TRECCOVID":0.35368,"IndicLangClassification":0.588507,"GujaratiNewsClassification":0.497724,"ItaCaseholdClassification":0.546154,"FloresBitextMining":0.2164078633004926,"Robust04InstructionRetrieval":-0.030762,"BulgarianStoreReviewSentimentClassfication":0.398352,"OdiaNewsClassification":0.343603,"TswanaNewsClassification":0.31848,"PlscClusteringP2P.v2":0.629132,"FinancialPhrasebankClassification":0.521687,"News21InstructionRetrieval":-0.001873,"StackOverflowQA":0.50102,"Core17InstructionRetrieval":-0.004701,"WebLINXCandidatesReranking":0.06474216666666667,"PAC":0.56435,"VoyageMMarcoReranking":0.384755,"MedrxivClusteringP2P.v2":0.276006,"GermanSTSBenchmark":0.7328605,"AlloprofReranking":0.530797,"AlloProfClusteringS2S.v2":0.206444,"ScalaClassification":0.50123275,"indonli":0.511191,"IN22GenBitextMining":0.21427782411067192,"CovidRetrieval":0.45659,"BigPatentClustering.v2":0.295099,"PawsXPairClassification":0.47545714285714286,"NusaXBitextMining":0.4867717272727273,"NusaParagraphEmotionClassification":0.3450232,"LEMBPasskeyRetrieval":1.0,"CTKFactsNLI":0.7469185,"DiaBlaBitextMining":0.750713,"IndonesianIdClickbaitClassification":0.520317,"XNLI":0.6476606428571429},"scoresByCustomGroup":{},"trainedOnTasks":["StackExchangeClustering.v2"],"experiments":null},{"rank":121,"model":{"name":"BAAI/bge-small-en-v1.5","url":"https://huggingface.co/BAAI/bge-small-en-v1.5","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-09-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":0.43764002965705584,"meanTaskType":0.37723584689188505,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018634,"MultilabelClassification":0.17013300869565218,"Classification":0.4736517051587477,"Retrieval":0.3625633088383107,"Reranking":0.4588698804941682,"STS":0.5972871458070028,"Clustering":0.3993423492880547,"PairClassification":0.7155965762454992,"BitextMining":0.2363126474995303},"scoresByTask":{"SemRel24STS":0.38125228666817684,"FinParaSTS":0.1352276092243459,"PolEmo2.0-OUT":0.24048582995951415,"JSICK":0.6503093062307547,"SwednClusteringP2P":0.2685131529583399,"MalteseNewsClassification":0.242751,"CzechProductReviewSentimentClassification":0.447266,"STS13":0.8297998550645033,"IndicCrosslingualSTS":0.031963631687710777,"SprintDuplicateQuestions":0.9667083203864044,"WikipediaRerankingMultilingual":0.7274952215608466,"EstonianValenceClassification":0.2887530562347188,"STS15":0.8726544426377639,"MLQARetrieval":0.1892626530612245,"HALClusteringS2S.v2":0.2330834863594018,"PoemSentimentClassification":0.5038186813186812,"BrazilianToxicTweetsClassification":0.1854,"StatcanDialogueDatasetRetrieval":0.1422775,"STS17":0.3924208065628188,"NordicLangClassification":0.5201666666666667,"ArXivHierarchicalClusteringP2P":0.5952876517144434,"NusaTranslationBitextMining":0.6183770909090909,"MassiveIntentClassification":0.2779791149398715,"CLSClusteringP2P.v2":0.1998802391271642,"WikipediaRetrievalMultilingual":0.5262875,"SinhalaNewsClassification":0.38125,"StackExchangeClustering.v2":0.5729472500253643,"MasakhaNEWSClassification":0.618887257649551,"NusaX-senti":0.561875,"CataloniaTweetClassification":0.45821262351835296,"OpusparcusPC":0.8736980490043131,"ArmenianParaphrasePC":0.8769268216663345,"KorHateSpeechMLClassification":0.035002,"WikiClusteringP2P.v2":0.24619892316287598,"AmazonCounterfactualClassification":0.6480006105111805,"ArXivHierarchicalClusteringS2S":0.5787440246376474,"NepaliNewsClassification":0.4369140625,"ArguAna":0.60348,"AILAStatutes":0.23005,"ToxicConversationsClassification":0.65478515625,"IndicGenBenchFloresBitextMining":0.03436556272536648,"CSFDSKMovieReviewSentimentClassification":0.2189453125,"SiswatiNewsClassification":0.55,"CEDRClassification":0.360999,"TempReasonL1":0.01415,"BiorxivClusteringP2P.v2":0.41793127547354,"NorwegianCourtsBitextMining":0.9086257309941521,"PunjabiNewsClassification":0.5777070063694267,"SpartQA":0.03553,"BUCC.v2":0.15049016003580232,"BornholmBitextMining":0.33918441558441553,"BibleNLPBitextMining":0.010501531782029483,"SIB200ClusteringS2S":0.08294137615416527,"RTE3":0.8687571621548489,"TERRa":0.4415098010929563,"SwahiliNewsClassification":0.48603515625,"DBpediaClassification":0.833496,"HagridRetrieval":0.98769,"MultiHateClassification":0.5532090909090909,"WikiCitiesClustering":0.8095083907546541,"Tatoeba":0.054927210310463666,"STS14":0.8183539566263665,"KurdishSentimentClassification":0.5945143432310015,"PpcPC":0.6999492674818802,"STSBenchmark":0.8586295017067542,"MasakhaNEWSClusteringS2S":0.39273168514017404,"MIRACLRetrievalHardNegatives":0.15878166666666665,"NTREXBitextMining":0.18240949523152572,"DalajClassification":0.49921171171171175,"SICK-R":0.7940992826837397,"NollySentiBitextMining":0.2769931491827803,"SCIDOCS":0.20518,"BelebeleRetrieval":0.25962023936170214,"IsiZuluNewsClassification":0.23390957446808508,"TwitterHjerneRetrieval":0.27246,"STSB":0.45114746922404747,"STSES":0.7629930919465497,"KorSarcasmClassification":0.530908203125,"WinoGrande":0.10283,"SentimentAnalysisHindi":0.3448993358771788,"RuBQReranking":0.38371107510545605,"CyrillicTurkicLangClassification":0.62900390625,"FilipinoShopeeReviewsClassification":0.28935546874999996,"STS22.v2":0.4692584725074835,"RomaniBibleClustering":0.366710154976586,"MacedonianTweetSentimentClassification":0.33555750658472344,"AfriSentiClassification":0.37298596712443266,"STS12":0.7744334044593039,"LegalBenchCorporateLobbying":0.90315,"TweetTopicSingleClassification":0.7301240401653869,"MultiEURLEXMultilabelClassification":0.02651304347826087,"T2Reranking":0.630039664997995,"GreekLegalCodeClassification":0.02978515625,"SlovakMovieReviewSentimentClassification":0.547412109375,"FaroeseSTS":0.6647008447145952,"SwissJudgementClassification":0.5384173112941296,"TwitterURLCorpus":0.8483865792306811,"TRECCOVID":0.75525,"IndicLangClassification":0.4045039121572754,"GujaratiNewsClassification":0.42450682852807287,"ItaCaseholdClassification":0.6882352941176471,"FloresBitextMining":0.12131737334208913,"Robust04InstructionRetrieval":-0.057718,"BulgarianStoreReviewSentimentClassfication":0.346154,"OdiaNewsClassification":0.5886762084396301,"TswanaNewsClassification":0.27063655030800826,"PlscClusteringP2P.v2":0.647394522837319,"FinancialPhrasebankClassification":0.80053,"News21InstructionRetrieval":-0.013238,"StackOverflowQA":0.78046,"Core17InstructionRetrieval":0.015054,"WebLINXCandidatesReranking":0.08857362405318568,"PAC":0.5742253113234869,"VoyageMMarcoReranking":0.30604219666574906,"MedrxivClusteringP2P.v2":0.3666103078151083,"GermanSTSBenchmark":0.6693503709671311,"AlloprofReranking":0.617357500581777,"AlloProfClusteringS2S.v2":0.3067617108671781,"ScalaClassification":0.501025390625,"indonli":0.4788558544190835,"IN22GenBitextMining":0.03767749973090534,"CovidRetrieval":0.14968,"BigPatentClustering.v2":0.3042334366049125,"PawsXPairClassification":0.5172009913339614,"NusaXBitextMining":0.2293269900362092,"NusaParagraphEmotionClassification":0.27066686765943265,"LEMBPasskeyRetrieval":0.21,"CTKFactsNLI":0.6996328514062388,"DiaBlaBitextMining":0.10786820762906373,"IndonesianIdClickbaitClassification":0.5639916988838966,"XNLI":0.5999366405237894},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":122,"model":{"name":"thenlper/gte-small","url":"https://huggingface.co/thenlper/gte-small","zeroShotPct":-1,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-07-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":64.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.015697333333333334,"MultilabelClassification":0.16265665217391306,"Classification":0.47276894614164905,"Retrieval":0.3598519850500287,"Reranking":0.45765478819444444,"Clustering":0.40276718904380443,"PairClassification":0.7144358106431773,"BitextMining":0.2393920724088202},"scoresByTask":{"SemRel24STS":0.3703748333333334,"FinParaSTS":0.1435235,"PolEmo2.0-OUT":0.223684,"JSICK":0.658128,"SwednClusteringP2P":0.27650050000000004,"MalteseNewsClassification":0.219417,"CzechProductReviewSentimentClassification":0.446436,"STS13":0.8508683458043946,"IndicCrosslingualSTS":0.01882025,"SprintDuplicateQuestions":0.955743678558349,"WikipediaRerankingMultilingual":0.7259290625,"EstonianValenceClassification":0.287775,"STS15":0.8831966852492485,"MLQARetrieval":0.1940161224489796,"HALClusteringS2S.v2":0.220395,"PoemSentimentClassification":0.49853000000000003,"BrazilianToxicTweetsClassification":0.185596,"StatcanDialogueDatasetRetrieval":0.0631125,"NordicLangClassification":0.528833,"ArXivHierarchicalClusteringP2P":0.583687,"NusaTranslationBitextMining":0.6332396363636363,"MassiveIntentClassification":0.27345166666666665,"CLSClusteringP2P.v2":0.203008,"WikipediaRetrievalMultilingual":0.5364656250000001,"SinhalaNewsClassification":0.365186,"StackExchangeClustering.v2":0.576814,"MasakhaNEWSClassification":0.6324434999999999,"NusaX-senti":0.5455,"CataloniaTweetClassification":0.46342225,"OpusparcusPC":0.8745896666666666,"ArmenianParaphrasePC":0.875452,"KorHateSpeechMLClassification":0.036672,"WikiClusteringP2P.v2":0.24488192857142857,"AmazonCounterfactualClassification":0.653082625,"ArXivHierarchicalClusteringS2S":0.573318,"NepaliNewsClassification":0.432471,"ArguAna":0.55441,"AILAStatutes":0.24066,"ToxicConversationsClassification":0.7033020000000001,"IndicGenBenchFloresBitextMining":0.03278362068965517,"CSFDSKMovieReviewSentimentClassification":0.21875,"SiswatiNewsClassification":0.47875,"CEDRClassification":0.34644,"TempReasonL1":0.01518,"BiorxivClusteringP2P.v2":0.413885,"NorwegianCourtsBitextMining":0.91155,"PunjabiNewsClassification":0.621656,"SpartQA":0.02969,"BUCC.v2":0.15745925,"BornholmBitextMining":0.311157,"BibleNLPBitextMining":0.014799478260869565,"SIB200ClusteringS2S":0.08231990862944162,"RTE3":0.8588685,"TERRa":0.451893,"SwahiliNewsClassification":0.492432,"DBpediaClassification":0.826172,"HagridRetrieval":0.98694,"MultiHateClassification":0.5439909090909091,"WikiCitiesClustering":0.83774,"Tatoeba":0.053701241071428575,"STS14":0.810345329142859,"KurdishSentimentClassification":0.579064,"PpcPC":0.68691,"STSBenchmark":0.8557014313159492,"MasakhaNEWSClusteringS2S":0.3791106875,"MIRACLRetrievalHardNegatives":0.1492511111111111,"NTREXBitextMining":0.18321058872651358,"DalajClassification":0.498874,"SICK-R":0.7792985224770255,"NollySentiBitextMining":0.29495550000000004,"SCIDOCS":0.21382,"BelebeleRetrieval":0.27277037234042556,"IsiZuluNewsClassification":0.2375,"TwitterHjerneRetrieval":0.13353,"STSB":0.47274399999999994,"STSES":0.723563,"KorSarcasmClassification":0.536133,"WinoGrande":0.13309,"SentimentAnalysisHindi":0.320169,"RuBQReranking":0.352335,"CyrillicTurkicLangClassification":0.649854,"FilipinoShopeeReviewsClassification":0.2806885,"STS22.v2":0.5269768888888889,"RomaniBibleClustering":0.383283,"MacedonianTweetSentimentClassification":0.335996,"AfriSentiClassification":0.37232249999999995,"STS12":0.7512219708517119,"LegalBenchCorporateLobbying":0.92007,"TweetTopicSingleClassification":0.714944,"MultiEURLEXMultilabelClassification":0.02515826086956522,"T2Reranking":0.620753,"GreekLegalCodeClassification":0.029956000000000003,"SlovakMovieReviewSentimentClassification":0.547852,"FaroeseSTS":0.639784,"SwissJudgementClassification":0.5342313333333334,"TwitterURLCorpus":0.8508006075642194,"TRECCOVID":0.6652900000000002,"IndicLangClassification":0.367999,"GujaratiNewsClassification":0.422762,"ItaCaseholdClassification":0.668326,"FloresBitextMining":0.12413897995750024,"Robust04InstructionRetrieval":-0.059255,"BulgarianStoreReviewSentimentClassfication":0.336813,"OdiaNewsClassification":0.608571,"TswanaNewsClassification":0.289117,"PlscClusteringP2P.v2":0.672617,"FinancialPhrasebankClassification":0.818595,"News21InstructionRetrieval":0.00392,"StackOverflowQA":0.78119,"Core17InstructionRetrieval":0.008243,"WebLINXCandidatesReranking":0.07541066666666667,"PAC":0.610657,"VoyageMMarcoReranking":0.316733,"MedrxivClusteringP2P.v2":0.372048,"GermanSTSBenchmark":0.6823140000000001,"AlloprofReranking":0.654768,"AlloProfClusteringS2S.v2":0.326709,"ScalaClassification":0.5009155,"indonli":0.477793,"IN22GenBitextMining":0.030564191699604743,"CovidRetrieval":0.23535,"BigPatentClustering.v2":0.297958,"PawsXPairClassification":0.5267115,"NusaXBitextMining":0.26310745454545453,"NusaParagraphEmotionClassification":0.2773929,"LEMBPasskeyRetrieval":0.35250000000000004,"CTKFactsNLI":0.706136,"DiaBlaBitextMining":0.10143,"IndonesianIdClickbaitClassification":0.554464,"XNLI":0.5938959642857142},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":123,"model":{"name":"abhinand/MedEmbed-small-v0.1","url":"https://huggingface.co/abhinand/MedEmbed-small-v0.1","zeroShotPct":97,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-10-20","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":127.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ArguAna","ArguAna-NL","MedicalQARetrieval","NFCorpus","NFCorpus-NL","PublicHealthQA","TRECCOVID","TRECCOVID-NL"]},"zeroShotPct":97,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.01678066666666667,"MultilabelClassification":0.1673773391304348,"Classification":0.4733879225066585,"Retrieval":0.3516056534267568,"Reranking":0.45012818402777777,"Clustering":0.4023418338819085,"PairClassification":0.7132680708620828,"BitextMining":0.22962302469161913},"scoresByTask":{"SemRel24STS":0.3825886666666667,"FinParaSTS":0.12424650000000001,"PolEmo2.0-OUT":0.232389,"JSICK":0.642204,"SwednClusteringP2P":0.2949655,"MalteseNewsClassification":0.245712,"CzechProductReviewSentimentClassification":0.444922,"STS13":0.834553090866614,"IndicCrosslingualSTS":-0.0008140833333333319,"SprintDuplicateQuestions":0.9616611732034019,"WikipediaRerankingMultilingual":0.7216664375,"EstonianValenceClassification":0.28313,"STS15":0.8640909639583372,"MLQARetrieval":0.18335051020408163,"HALClusteringS2S.v2":0.218092,"PoemSentimentClassification":0.511479,"BrazilianToxicTweetsClassification":0.182031,"StatcanDialogueDatasetRetrieval":0.1178125,"NordicLangClassification":0.5116,"ArXivHierarchicalClusteringP2P":0.605536,"NusaTranslationBitextMining":0.6060925454545454,"MassiveIntentClassification":0.2764452745098039,"CLSClusteringP2P.v2":0.191179,"WikipediaRetrievalMultilingual":0.522910625,"SinhalaNewsClassification":0.383984,"StackExchangeClustering.v2":0.571231,"MasakhaNEWSClassification":0.6183490625,"NusaX-senti":0.5538541666666666,"CataloniaTweetClassification":0.4550675,"OpusparcusPC":0.8710155833333334,"ArmenianParaphrasePC":0.87671,"KorHateSpeechMLClassification":0.031026,"WikiClusteringP2P.v2":0.24414278571428571,"AmazonCounterfactualClassification":0.64455525,"ArXivHierarchicalClusteringS2S":0.57123,"NepaliNewsClassification":0.439209,"ArguAna":0.61587,"AILAStatutes":0.23633,"ToxicConversationsClassification":0.658447265625,"IndicGenBenchFloresBitextMining":0.026576422413793103,"CSFDSKMovieReviewSentimentClassification":0.215137,"SiswatiNewsClassification":0.51125,"CEDRClassification":0.352869,"TempReasonL1":0.01408,"BiorxivClusteringP2P.v2":0.414489,"NorwegianCourtsBitextMining":0.913012,"PunjabiNewsClassification":0.584076,"SpartQA":0.03212,"BUCC.v2":0.14031625,"BornholmBitextMining":0.326538,"BibleNLPBitextMining":0.008758163647342996,"SIB200ClusteringS2S":0.0909611421319797,"RTE3":0.866121,"TERRa":0.441104,"SwahiliNewsClassification":0.476123,"DBpediaClassification":0.840723,"HagridRetrieval":0.98843,"MultiHateClassification":0.5526181818181818,"WikiCitiesClustering":0.819354,"Tatoeba":0.052098973214285714,"STS14":0.8039864986197945,"KurdishSentimentClassification":0.590287,"PpcPC":0.681429,"STSBenchmark":0.8481184678969442,"MasakhaNEWSClusteringS2S":0.38876,"MIRACLRetrievalHardNegatives":0.13630722222222225,"NTREXBitextMining":0.17333417954070982,"DalajClassification":0.502365,"SICK-R":0.7965689515219193,"NollySentiBitextMining":0.269573,"SCIDOCS":0.20278,"BelebeleRetrieval":0.2542809042553192,"IsiZuluNewsClassification":0.240824,"TwitterHjerneRetrieval":0.168,"STSB":0.4441125,"STSES":0.760943,"KorSarcasmClassification":0.531055,"WinoGrande":0.09621,"SentimentAnalysisHindi":0.346392,"RuBQReranking":0.360039,"CyrillicTurkicLangClassification":0.62959,"FilipinoShopeeReviewsClassification":0.28481449999999997,"STS22.v2":0.4725213888888889,"RomaniBibleClustering":0.367351,"MacedonianTweetSentimentClassification":0.335031,"AfriSentiClassification":0.3721038333333333,"STS12":0.7622109828443048,"LegalBenchCorporateLobbying":0.91864,"TweetTopicSingleClassification":0.734554,"MultiEURLEXMultilabelClassification":0.025248695652173914,"T2Reranking":0.616567,"GreekLegalCodeClassification":0.026221,"SlovakMovieReviewSentimentClassification":0.550244,"FaroeseSTS":0.660398,"SwissJudgementClassification":0.5485453333333333,"TwitterURLCorpus":0.8498986658033177,"TRECCOVID":0.77699,"IndicLangClassification":0.405428,"GujaratiNewsClassification":0.422989,"ItaCaseholdClassification":0.678281,"FloresBitextMining":0.11292109502076692,"Robust04InstructionRetrieval":-0.057734,"BulgarianStoreReviewSentimentClassfication":0.363187,"OdiaNewsClassification":0.5994,"TswanaNewsClassification":0.263655,"PlscClusteringP2P.v2":0.649967,"FinancialPhrasebankClassification":0.821599,"News21InstructionRetrieval":0.000344,"StackOverflowQA":0.75601,"Core17InstructionRetrieval":0.007048,"WebLINXCandidatesReranking":0.08059266666666666,"PAC":0.588705,"VoyageMMarcoReranking":0.292151,"MedrxivClusteringP2P.v2":0.3668359142642706,"GermanSTSBenchmark":0.6796175,"AlloprofReranking":0.629753,"AlloProfClusteringS2S.v2":0.313629,"ScalaClassification":0.501367,"indonli":0.480551,"IN22GenBitextMining":0.03452632806324111,"CovidRetrieval":0.15128,"BigPatentClustering.v2":0.329746,"PawsXPairClassification":0.5241354285714286,"NusaXBitextMining":0.20512536363636363,"NusaParagraphEmotionClassification":0.26738629999999997,"LEMBPasskeyRetrieval":0.1575,"CTKFactsNLI":0.704073,"DiaBlaBitextMining":0.116227,"IndonesianIdClickbaitClassification":0.558298,"XNLI":0.5892499285714285},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","MLQARetrieval","TRECCOVID"],"experiments":null},{"rank":124,"model":{"name":"manu/sentence_croissant_alpha_v0.3","url":"https://huggingface.co/manu/sentence_croissant_alpha_v0.3","zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048.0,"releaseDate":"2024-04-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":2441.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"croissantllm/CroissantCool-v0.2","supersededBy":"manu/sentence_croissant_alpha_v0.4","extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","QuoraRetrieval","STS12","STSB","STSBenchmark","STSBenchmarkMultilingualSTS"]},"zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.011909333333333333,"MultilabelClassification":0.15650531304347823,"Retrieval":0.37265952196846036,"Reranking":0.5145443414061038,"STS":0.5968178549558081,"Clustering":0.38862444334946067,"PairClassification":0.7297283831168833,"BitextMining":0.3188024967405815},"scoresByTask":{"SemRel24STS":0.427803,"FinParaSTS":0.0226365,"PolEmo2.0-OUT":0.261741,"JSICK":0.650982,"SwednClusteringP2P":0.29073950000000004,"MalteseNewsClassification":0.237832,"CzechProductReviewSentimentClassification":0.42666,"STS13":0.826089,"IndicCrosslingualSTS":0.00555025,"SprintDuplicateQuestions":0.906748,"WikipediaRerankingMultilingual":0.7322870625,"EstonianValenceClassification":0.283007,"STS15":0.828973,"MLQARetrieval":0.2869707142857143,"HALClusteringS2S.v2":0.266678,"PoemSentimentClassification":0.42487600000000003,"BrazilianToxicTweetsClassification":0.142871,"StatcanDialogueDatasetRetrieval":0.12156499999999999,"STS17":0.5932438181818181,"NordicLangClassification":0.584733,"ArXivHierarchicalClusteringP2P":0.550984,"NusaTranslationBitextMining":0.5002314545454545,"MassiveIntentClassification":0.38715885294117647,"CLSClusteringP2P.v2":0.281994,"WikipediaRetrievalMultilingual":0.605614375,"SinhalaNewsClassification":0.355518,"StackExchangeClustering.v2":0.492321,"NusaX-senti":0.5615625000000001,"CataloniaTweetClassification":0.48909075,"OpusparcusPC":0.89305375,"ArmenianParaphrasePC":0.846273,"KorHateSpeechMLClassification":0.030682,"WikiClusteringP2P.v2":0.258457,"AmazonCounterfactualClassification":0.645816,"ArXivHierarchicalClusteringS2S":0.515448,"NepaliNewsClassification":0.623291,"ArguAna":0.44385,"AILAStatutes":0.22549,"ToxicConversationsClassification":0.637988,"IndicGenBenchFloresBitextMining":0.026021155172413796,"CSFDSKMovieReviewSentimentClassification":0.220215,"SiswatiNewsClassification":0.7075,"CEDRClassification":0.336132,"TempReasonL1":0.01849,"BiorxivClusteringP2P.v2":0.353287,"NorwegianCourtsBitextMining":0.862573,"PunjabiNewsClassification":0.636306,"SpartQA":0.08497,"BUCC.v2":0.74808325,"BornholmBitextMining":0.199051,"BibleNLPBitextMining":0.0252999595410628,"SIB200ClusteringS2S":0.12330240609137055,"RTE3":0.87278875,"TERRa":0.537633,"SwahiliNewsClassification":0.560791,"DBpediaClassification":0.870557,"HagridRetrieval":0.98683,"MultiHateClassification":0.5650181818181819,"WikiCitiesClustering":0.730891,"Tatoeba":0.1738800267857143,"STS14":0.759534,"KurdishSentimentClassification":0.614243,"PpcPC":0.736183,"STSBenchmark":0.821903,"MasakhaNEWSClusteringS2S":0.3480981875,"MIRACLRetrievalHardNegatives":0.17084944444444444,"NTREXBitextMining":0.20380042066805845,"DalajClassification":0.501351,"SICK-R":0.688972,"NollySentiBitextMining":0.258815,"SCIDOCS":0.15313,"BelebeleRetrieval":0.34718186170212767,"IsiZuluNewsClassification":0.244149,"TwitterHjerneRetrieval":0.07462,"STSB":0.5118495000000001,"STSES":0.786794,"KorSarcasmClassification":0.520264,"WinoGrande":0.35619,"SentimentAnalysisHindi":0.417975,"RuBQReranking":0.601972,"CyrillicTurkicLangClassification":0.571826,"FilipinoShopeeReviewsClassification":0.2652835,"STS22.v2":0.6248316111111111,"RomaniBibleClustering":0.322263,"MacedonianTweetSentimentClassification":0.426514,"AfriSentiClassification":0.4166130833333333,"STS12":0.683499,"LegalBenchCorporateLobbying":0.89963,"TweetTopicSingleClassification":0.670053,"MultiEURLEXMultilabelClassification":0.035009565217391306,"T2Reranking":0.640159,"GreekLegalCodeClassification":0.1601075,"SlovakMovieReviewSentimentClassification":0.56123,"FaroeseSTS":0.572993,"SwissJudgementClassification":0.5362836666666667,"TwitterURLCorpus":0.838207,"TRECCOVID":0.60587,"IndicLangClassification":0.460076,"GujaratiNewsClassification":0.446965,"ItaCaseholdClassification":0.619457,"FloresBitextMining":0.11866226798995459,"Robust04InstructionRetrieval":-0.043601,"BulgarianStoreReviewSentimentClassfication":0.418132,"OdiaNewsClassification":0.51592,"TswanaNewsClassification":0.258316,"PlscClusteringP2P.v2":0.682655,"FinancialPhrasebankClassification":0.710424,"News21InstructionRetrieval":-0.019703,"StackOverflowQA":0.75374,"Core17InstructionRetrieval":0.027576,"WebLINXCandidatesReranking":0.07904783333333333,"PAC":0.624124,"VoyageMMarcoReranking":0.350738,"MedrxivClusteringP2P.v2":0.324354,"GermanSTSBenchmark":0.743432,"AlloprofReranking":0.6830621526032894,"AlloProfClusteringS2S.v2":0.395514,"ScalaClassification":0.500769,"indonli":0.506894,"IN22GenBitextMining":0.03209528656126482,"CovidRetrieval":0.29788,"BigPatentClustering.v2":0.281005,"PawsXPairClassification":0.5790353571428571,"NusaXBitextMining":0.21535763636363636,"NusaParagraphEmotionClassification":0.30253830000000004,"LEMBPasskeyRetrieval":0.275,"CTKFactsNLI":0.7118945,"DiaBlaBitextMining":0.780562,"IndonesianIdClickbaitClassification":0.56165,"XNLI":0.5983018571428571},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"experiments":null},{"rank":125,"model":{"name":"sdadas/mmlw-e5-small","url":"https://huggingface.co/sdadas/mmlw-e5-small","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Polish"],"citation":"@article{dadas2024pirb,\n title={{PIRB}: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods},\n author={Sławomir Dadas and Michał Perełkiewicz and Rafał Poświata},\n year={2024},\n eprint={2402.13350},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":0.43112779518836986,"meanTaskType":0.35572317773498,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.043953,"MultilabelClassification":0.16588040869565218,"Classification":0.5072372208228394,"Retrieval":0.3104864511449773,"Reranking":0.3488135798611111,"STS":0.5546002888257576,"Clustering":0.40939918531884517,"PairClassification":0.7371047997835497,"BitextMining":0.2119396651620877},"scoresByTask":{"SemRel24STS":0.34508125,"FinParaSTS":0.10384750000000001,"PolEmo2.0-OUT":0.4032388663967612,"JSICK":0.461134,"SwednClusteringP2P":0.27381,"MalteseNewsClassification":0.207444,"CzechProductReviewSentimentClassification":0.431152,"STS13":0.820848,"IndicCrosslingualSTS":0.032605583333333334,"SprintDuplicateQuestions":0.953685,"WikipediaRerankingMultilingual":0.6212893125,"EstonianValenceClassification":0.3,"STS15":0.859778,"MLQARetrieval":0.15670071428571428,"HALClusteringS2S.v2":0.217193,"PoemSentimentClassification":0.4971475,"BrazilianToxicTweetsClassification":0.204395,"StatcanDialogueDatasetRetrieval":0.177095,"STS17":0.4049874545454546,"NordicLangClassification":0.519767,"ArXivHierarchicalClusteringP2P":0.59169,"NusaTranslationBitextMining":0.4793678181818182,"MassiveIntentClassification":0.3296565,"CLSClusteringP2P.v2":0.208497,"WikipediaRetrievalMultilingual":0.324220625,"SinhalaNewsClassification":0.428564,"StackExchangeClustering.v2":0.545177,"MasakhaNEWSClassification":0.66297725,"NusaX-senti":0.5776249999999999,"CataloniaTweetClassification":0.44592125,"OpusparcusPC":0.8586113333333333,"ArmenianParaphrasePC":0.886537,"KorHateSpeechMLClassification":0.047423,"WikiClusteringP2P.v2":0.24971649999999998,"AmazonCounterfactualClassification":0.63642,"ArXivHierarchicalClusteringS2S":0.541129,"NepaliNewsClassification":0.696387,"ArguAna":0.58723,"AILAStatutes":0.22103,"ToxicConversationsClassification":0.634863,"IndicGenBenchFloresBitextMining":0.061052215517241375,"CSFDSKMovieReviewSentimentClassification":0.224561,"SiswatiNewsClassification":0.74125,"CEDRClassification":0.342667,"TempReasonL1":0.00888,"BiorxivClusteringP2P.v2":0.408031,"NorwegianCourtsBitextMining":0.813231,"PunjabiNewsClassification":0.688535,"SpartQA":0.08703,"BUCC.v2":0.12886224999999998,"BornholmBitextMining":0.220549,"BibleNLPBitextMining":0.009494416062801932,"SIB200ClusteringS2S":0.09399734010152283,"RTE3":0.8766717500000001,"TERRa":0.483142,"SwahiliNewsClassification":0.554492,"DBpediaClassification":0.882568,"HagridRetrieval":0.98292,"MultiHateClassification":0.5595363636363636,"WikiCitiesClustering":0.81167,"Tatoeba":0.07093005357142858,"STS14":0.803341,"KurdishSentimentClassification":0.586462,"PpcPC":0.91677,"STSBenchmark":0.843509,"MasakhaNEWSClusteringS2S":0.425430125,"MIRACLRetrievalHardNegatives":0.03891111111111111,"NTREXBitextMining":0.2018352254697286,"DalajClassification":0.503041,"SICK-R":0.785342,"NollySentiBitextMining":0.26035074999999996,"SCIDOCS":0.0636,"BelebeleRetrieval":0.22865867021276598,"IsiZuluNewsClassification":0.240426,"TwitterHjerneRetrieval":0.08015,"STSB":0.28834000000000004,"STSES":0.719007,"KorSarcasmClassification":0.527979,"WinoGrande":0.42409,"SentimentAnalysisHindi":0.384173,"RuBQReranking":0.174419,"CyrillicTurkicLangClassification":0.562354,"FilipinoShopeeReviewsClassification":0.2843995,"STS22.v2":0.5183228333333333,"RomaniBibleClustering":0.369122,"MacedonianTweetSentimentClassification":0.368481,"AfriSentiClassification":0.38630291666666666,"STS12":0.770012,"LegalBenchCorporateLobbying":0.89887,"TweetTopicSingleClassification":0.720969,"MultiEURLEXMultilabelClassification":0.02747304347826087,"T2Reranking":0.525557,"GreekLegalCodeClassification":0.0261715,"SlovakMovieReviewSentimentClassification":0.549609,"FaroeseSTS":0.556211,"SwissJudgementClassification":0.548639,"TwitterURLCorpus":0.839994,"TRECCOVID":0.38702,"IndicLangClassification":0.532162,"GujaratiNewsClassification":0.562898,"ItaCaseholdClassification":0.815837,"FloresBitextMining":0.13172361593257992,"Robust04InstructionRetrieval":-0.099063,"BulgarianStoreReviewSentimentClassfication":0.343407,"OdiaNewsClassification":0.61012,"TswanaNewsClassification":0.260164,"PlscClusteringP2P.v2":0.719193,"FinancialPhrasebankClassification":0.782067,"News21InstructionRetrieval":-0.00413,"StackOverflowQA":0.65637,"Core17InstructionRetrieval":-0.028666,"WebLINXCandidatesReranking":0.12017516666666667,"PAC":0.6311323486823052,"VoyageMMarcoReranking":0.172232,"MedrxivClusteringP2P.v2":0.368133,"GermanSTSBenchmark":0.561238,"AlloprofReranking":0.479209,"AlloProfClusteringS2S.v2":0.329093,"ScalaClassification":0.501416,"indonli":0.495157,"IN22GenBitextMining":0.11669475691699605,"CovidRetrieval":0.00098,"BigPatentClustering.v2":0.398505,"PawsXPairClassification":0.5065450714285714,"NusaXBitextMining":0.18387454545454543,"NusaParagraphEmotionClassification":0.2831705,"LEMBPasskeyRetrieval":0.265,"CTKFactsNLI":0.713083,"DiaBlaBitextMining":0.07725,"IndonesianIdClickbaitClassification":0.585158,"XNLI":0.5779566428571429},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":126,"model":{"name":"ibm-granite/granite-embedding-125m-english","url":"https://huggingface.co/ibm-granite/granite-embedding-125m-english","zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.125,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-12-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{awasthy2025graniteembedding,\n title={Granite Embedding Models},\n author={Awasthy, Parul and Trivedi, Aashka and Li, Yulong and Bornea, Mihaela and Cox, David and Daniels, Abraham and Franz, Martin and Goodhart, Gabe and Iyer, Bhavani and Kumar, Vishwajeet and Lastras, Luis and McCarley, Scott and Murthy, Rudra and P, Vignesh and Rosenthal, Sara and Roukos, Salim and Sen, Jaydeep and Sharma, Sukriti and Sil, Avirup and Soule, Kate and Sultan, Arafat and Florian, Radu},\n journal={arXiv preprint arXiv:2502.20204},\n year={2025}\n}","memoryUsageMb":238.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.086,"totalParamsB":0.125,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.012860333333333333,"MultilabelClassification":0.1683911304347826,"Classification":0.4698116508513659,"Retrieval":0.39263968218788703,"Reranking":0.45986606944444447,"Clustering":0.40380383524632885,"PairClassification":0.7097065519480519,"BitextMining":0.26560922388065633},"scoresByTask":{"SemRel24STS":0.4235469166666667,"FinParaSTS":0.1241675,"PolEmo2.0-OUT":0.178745,"JSICK":0.761778,"SwednClusteringP2P":0.238885,"MalteseNewsClassification":0.235481,"CzechProductReviewSentimentClassification":0.426416,"STS13":0.817525,"IndicCrosslingualSTS":0.0227275,"SprintDuplicateQuestions":0.954074,"WikipediaRerankingMultilingual":0.69027975,"EstonianValenceClassification":0.28044,"STS15":0.841271,"MLQARetrieval":0.22901714285714286,"HALClusteringS2S.v2":0.242829,"PoemSentimentClassification":0.454043,"BrazilianToxicTweetsClassification":0.189893,"StatcanDialogueDatasetRetrieval":0.3071375,"NordicLangClassification":0.484667,"ArXivHierarchicalClusteringP2P":0.572516,"NusaTranslationBitextMining":0.6065090909090909,"MassiveIntentClassification":0.30619886274509805,"CLSClusteringP2P.v2":0.174454,"WikipediaRetrievalMultilingual":0.52696875,"SinhalaNewsClassification":0.374316,"StackExchangeClustering.v2":0.615845,"MasakhaNEWSClassification":0.6385195625,"NusaX-senti":0.5157708333333334,"CataloniaTweetClassification":0.45849275,"OpusparcusPC":0.86501025,"ArmenianParaphrasePC":0.885048,"KorHateSpeechMLClassification":0.050172,"WikiClusteringP2P.v2":0.2561585714285714,"AmazonCounterfactualClassification":0.608162375,"ArXivHierarchicalClusteringS2S":0.573498,"NepaliNewsClassification":0.486279,"ArguAna":0.58401,"AILAStatutes":0.30845,"ToxicConversationsClassification":0.597607,"IndicGenBenchFloresBitextMining":0.029416456896551726,"CSFDSKMovieReviewSentimentClassification":0.207422,"SiswatiNewsClassification":0.51625,"CEDRClassification":0.335494,"TempReasonL1":0.01434,"BiorxivClusteringP2P.v2":0.406341,"NorwegianCourtsBitextMining":0.883041,"PunjabiNewsClassification":0.610191,"SpartQA":0.00638,"BUCC.v2":0.224734,"BornholmBitextMining":0.424857,"BibleNLPBitextMining":0.04106655193236715,"SIB200ClusteringS2S":0.10774616751269037,"RTE3":0.8595685,"TERRa":0.465872,"SwahiliNewsClassification":0.532324,"DBpediaClassification":0.876221,"HagridRetrieval":0.98781,"MultiHateClassification":0.5396636363636363,"WikiCitiesClustering":0.71578,"Tatoeba":0.07926395535714285,"STS14":0.742305,"KurdishSentimentClassification":0.633166,"PpcPC":0.679646,"STSBenchmark":0.796569,"MasakhaNEWSClusteringS2S":0.410899625,"MIRACLRetrievalHardNegatives":0.16346333333333332,"NTREXBitextMining":0.2222038909185804,"DalajClassification":0.503041,"SICK-R":0.712001,"NollySentiBitextMining":0.31085775,"SCIDOCS":0.24146,"BelebeleRetrieval":0.33373755319148934,"IsiZuluNewsClassification":0.21516,"TwitterHjerneRetrieval":0.05915,"STSB":0.512283,"STSES":0.625206,"KorSarcasmClassification":0.538818,"WinoGrande":0.37477,"SentimentAnalysisHindi":0.378136,"RuBQReranking":0.362986,"CyrillicTurkicLangClassification":0.621143,"FilipinoShopeeReviewsClassification":0.259717,"STS22.v2":0.5214400555555555,"RomaniBibleClustering":0.414879,"MacedonianTweetSentimentClassification":0.361457,"AfriSentiClassification":0.3906829166666667,"STS12":0.659247,"LegalBenchCorporateLobbying":0.92245,"TweetTopicSingleClassification":0.713585,"MultiEURLEXMultilabelClassification":0.030915652173913045,"T2Reranking":0.628591,"GreekLegalCodeClassification":0.0331545,"SlovakMovieReviewSentimentClassification":0.559619,"FaroeseSTS":0.544962,"SwissJudgementClassification":0.540558,"TwitterURLCorpus":0.825316,"TRECCOVID":0.69259,"IndicLangClassification":0.721724,"GujaratiNewsClassification":0.453187,"ItaCaseholdClassification":0.494118,"FloresBitextMining":0.16308886660871244,"Robust04InstructionRetrieval":-0.054358,"BulgarianStoreReviewSentimentClassfication":0.339011,"OdiaNewsClassification":0.519172,"TswanaNewsClassification":0.232444,"PlscClusteringP2P.v2":0.672903,"FinancialPhrasebankClassification":0.696246,"News21InstructionRetrieval":0.007361,"StackOverflowQA":0.89846,"Core17InstructionRetrieval":0.008416,"WebLINXCandidatesReranking":0.06456166666666667,"PAC":0.574312,"VoyageMMarcoReranking":0.307051,"MedrxivClusteringP2P.v2":0.360757,"GermanSTSBenchmark":0.616844,"AlloprofReranking":0.705727,"AlloProfClusteringS2S.v2":0.401575,"ScalaClassification":0.50047625,"indonli":0.472625,"IN22GenBitextMining":0.07108380237154151,"CovidRetrieval":0.02982,"BigPatentClustering.v2":0.295795,"PawsXPairClassification":0.5460832857142857,"NusaXBitextMining":0.26697754545454544,"NusaParagraphEmotionClassification":0.2579933,"LEMBPasskeyRetrieval":0.3875,"CTKFactsNLI":0.6944635,"DiaBlaBitextMining":0.12982,"IndonesianIdClickbaitClassification":0.573251,"XNLI":0.5590655357142857},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":127,"model":{"name":"manu/sentence_croissant_alpha_v0.4","url":"https://huggingface.co/manu/sentence_croissant_alpha_v0.4","zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048.0,"releaseDate":"2024-04-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","French"],"citation":null,"memoryUsageMb":2441.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"croissantllm/CroissantCool-v0.2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","QuoraRetrieval","STS12","STSB","STSBenchmark","STSBenchmarkMultilingualSTS"]},"zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0008103333333333353,"MultilabelClassification":0.16060611304347827,"Retrieval":0.3834912468740451,"Reranking":0.5137115235485639,"STS":0.5774556941287879,"Clustering":0.39768985384846356,"PairClassification":0.7254236558441559,"BitextMining":0.30263702385794805},"scoresByTask":{"SemRel24STS":0.40894199999999997,"FinParaSTS":-0.0040825,"PolEmo2.0-OUT":0.298178,"JSICK":0.64039,"SwednClusteringP2P":0.277772,"MalteseNewsClassification":0.26047,"CzechProductReviewSentimentClassification":0.426221,"STS13":0.812605,"IndicCrosslingualSTS":-0.008201333333333333,"SprintDuplicateQuestions":0.893511,"WikipediaRerankingMultilingual":0.7348941875,"EstonianValenceClassification":0.29401,"STS15":0.807361,"MLQARetrieval":0.29398153061224486,"HALClusteringS2S.v2":0.271876,"PoemSentimentClassification":0.4353895,"BrazilianToxicTweetsClassification":0.137061,"StatcanDialogueDatasetRetrieval":0.1621625,"STS17":0.5689982727272728,"NordicLangClassification":0.5665,"ArXivHierarchicalClusteringP2P":0.585928,"NusaTranslationBitextMining":0.4473360909090909,"MassiveIntentClassification":0.3763651862745098,"CLSClusteringP2P.v2":0.281453,"WikipediaRetrievalMultilingual":0.60179125,"SinhalaNewsClassification":0.349805,"StackExchangeClustering.v2":0.502529,"NusaX-senti":0.5531875,"CataloniaTweetClassification":0.4906255,"OpusparcusPC":0.88847275,"ArmenianParaphrasePC":0.839914,"KorHateSpeechMLClassification":0.028473,"WikiClusteringP2P.v2":0.25723214285714285,"AmazonCounterfactualClassification":0.628310375,"ArXivHierarchicalClusteringS2S":0.544624,"NepaliNewsClassification":0.628125,"ArguAna":0.52089,"AILAStatutes":0.22533,"ToxicConversationsClassification":0.591699,"IndicGenBenchFloresBitextMining":0.02693218103448276,"CSFDSKMovieReviewSentimentClassification":0.219092,"SiswatiNewsClassification":0.73125,"CEDRClassification":0.339957,"TempReasonL1":0.01869,"BiorxivClusteringP2P.v2":0.373948,"NorwegianCourtsBitextMining":0.817251,"PunjabiNewsClassification":0.622293,"SpartQA":0.06311,"BUCC.v2":0.74555825,"BornholmBitextMining":0.16538,"BibleNLPBitextMining":0.02757259722222222,"SIB200ClusteringS2S":0.11747008121827411,"RTE3":0.873424,"TERRa":0.522643,"SwahiliNewsClassification":0.554639,"DBpediaClassification":0.873193,"HagridRetrieval":0.98322,"MultiHateClassification":0.5707,"WikiCitiesClustering":0.729754,"Tatoeba":0.16665503571428572,"STS14":0.740395,"KurdishSentimentClassification":0.592803,"PpcPC":0.715571,"STSBenchmark":0.797631,"MasakhaNEWSClusteringS2S":0.3459284375,"MIRACLRetrievalHardNegatives":0.16768833333333333,"NTREXBitextMining":0.20917998068893529,"DalajClassification":0.498986,"SICK-R":0.676309,"NollySentiBitextMining":0.2375005,"SCIDOCS":0.15231,"BelebeleRetrieval":0.34407882978723403,"IsiZuluNewsClassification":0.23484,"TwitterHjerneRetrieval":0.0846,"STSB":0.4667085,"STSES":0.784478,"KorSarcasmClassification":0.521143,"WinoGrande":0.46557,"SentimentAnalysisHindi":0.396275,"RuBQReranking":0.593056,"CyrillicTurkicLangClassification":0.529053,"FilipinoShopeeReviewsClassification":0.2672605,"STS22.v2":0.6440666666666667,"RomaniBibleClustering":0.331498,"MacedonianTweetSentimentClassification":0.441352,"AfriSentiClassification":0.4095166666666667,"STS12":0.65681,"LegalBenchCorporateLobbying":0.89154,"TweetTopicSingleClassification":0.685706,"MultiEURLEXMultilabelClassification":0.037069565217391305,"T2Reranking":0.632816,"GreekLegalCodeClassification":0.1721435,"SlovakMovieReviewSentimentClassification":0.569873,"FaroeseSTS":0.528372,"SwissJudgementClassification":0.5316993333333334,"TwitterURLCorpus":0.837323,"TRECCOVID":0.60495,"IndicLangClassification":0.432783,"GujaratiNewsClassification":0.437709,"ItaCaseholdClassification":0.657014,"FloresBitextMining":0.11792108565150197,"Robust04InstructionRetrieval":-0.033777,"BulgarianStoreReviewSentimentClassfication":0.407143,"OdiaNewsClassification":0.500679,"TswanaNewsClassification":0.258111,"PlscClusteringP2P.v2":0.677372,"FinancialPhrasebankClassification":0.725133,"News21InstructionRetrieval":-0.026842,"StackOverflowQA":0.77473,"Core17InstructionRetrieval":0.058188,"WebLINXCandidatesReranking":0.08406366666666666,"PAC":0.612945,"VoyageMMarcoReranking":0.349497,"MedrxivClusteringP2P.v2":0.337423,"GermanSTSBenchmark":0.7185085,"AlloprofReranking":0.6879422871247168,"AlloProfClusteringS2S.v2":0.409753,"ScalaClassification":0.5012205,"indonli":0.501934,"IN22GenBitextMining":0.03219467984189723,"CovidRetrieval":0.2407,"BigPatentClustering.v2":0.318477,"PawsXPairClassification":0.5896729285714286,"NusaXBitextMining":0.2009819090909091,"NusaParagraphEmotionClassification":0.2961778,"LEMBPasskeyRetrieval":0.3075,"CTKFactsNLI":0.725604,"DiaBlaBitextMining":0.739818,"IndonesianIdClickbaitClassification":0.544673,"XNLI":0.5915905357142857},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"experiments":null},{"rank":128,"model":{"name":"manu/sentence_croissant_alpha_v0.2","url":"https://huggingface.co/manu/sentence_croissant_alpha_v0.2","zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048.0,"releaseDate":"2024-03-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":2441.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"croissantllm/CroissantCool","supersededBy":"manu/sentence_croissant_alpha_v0.3","extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","QuoraRetrieval","STS12","STSB","STSBenchmark","STSBenchmarkMultilingualSTS"]},"zeroShotPct":97,"activeParamsB":1.214,"totalParamsB":1.28,"embeddingDim":2048,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.003511666666666667,"MultilabelClassification":0.15318207826086958,"Retrieval":0.36484533989314794,"Reranking":0.5093191782496571,"STS":0.5747649622790404,"Clustering":0.39808836980771845,"PairClassification":0.7224845757575757,"BitextMining":0.32219495846071067},"scoresByTask":{"SemRel24STS":0.43536058333333333,"FinParaSTS":-0.028233,"PolEmo2.0-OUT":0.327126,"JSICK":0.655961,"SwednClusteringP2P":0.28967299999999996,"MalteseNewsClassification":0.228951,"CzechProductReviewSentimentClassification":0.432666,"STS13":0.789081,"IndicCrosslingualSTS":0.025421166666666672,"SprintDuplicateQuestions":0.87745,"WikipediaRerankingMultilingual":0.741896625,"EstonianValenceClassification":0.287042,"STS15":0.799044,"MLQARetrieval":0.26914785714285716,"HALClusteringS2S.v2":0.270228,"PoemSentimentClassification":0.448782,"BrazilianToxicTweetsClassification":0.133057,"StatcanDialogueDatasetRetrieval":0.0903225,"STS17":0.5870720909090908,"NordicLangClassification":0.587967,"ArXivHierarchicalClusteringP2P":0.595187,"NusaTranslationBitextMining":0.46851445454545454,"MassiveIntentClassification":0.3785511764705882,"CLSClusteringP2P.v2":0.309549,"WikipediaRetrievalMultilingual":0.610714375,"SinhalaNewsClassification":0.361328,"StackExchangeClustering.v2":0.499431,"NusaX-senti":0.5599375,"CataloniaTweetClassification":0.49116025,"OpusparcusPC":0.8897380833333334,"ArmenianParaphrasePC":0.847427,"KorHateSpeechMLClassification":0.031419,"WikiClusteringP2P.v2":0.2526185714285714,"AmazonCounterfactualClassification":0.6277159999999999,"ArXivHierarchicalClusteringS2S":0.548091,"NepaliNewsClassification":0.640674,"ArguAna":0.48372,"AILAStatutes":0.20114,"ToxicConversationsClassification":0.632422,"IndicGenBenchFloresBitextMining":0.028246008620689652,"CSFDSKMovieReviewSentimentClassification":0.219434,"SiswatiNewsClassification":0.72875,"CEDRClassification":0.337726,"TempReasonL1":0.00797,"BiorxivClusteringP2P.v2":0.375165,"NorwegianCourtsBitextMining":0.893275,"PunjabiNewsClassification":0.629936,"SpartQA":0.06645,"BUCC.v2":0.75407725,"BornholmBitextMining":0.246943,"BibleNLPBitextMining":0.028513489734299517,"SIB200ClusteringS2S":0.11778253299492386,"RTE3":0.8663965,"TERRa":0.529397,"SwahiliNewsClassification":0.564795,"DBpediaClassification":0.869141,"HagridRetrieval":0.98512,"MultiHateClassification":0.5659545454545455,"WikiCitiesClustering":0.676265,"Tatoeba":0.18043932142857141,"STS14":0.715049,"KurdishSentimentClassification":0.603221,"PpcPC":0.705414,"STSBenchmark":0.771476,"MasakhaNEWSClusteringS2S":0.3715418125,"MIRACLRetrievalHardNegatives":0.14463944444444443,"NTREXBitextMining":0.2070442061586639,"DalajClassification":0.495383,"SICK-R":0.64878,"NollySentiBitextMining":0.2498975,"SCIDOCS":0.14885,"BelebeleRetrieval":0.32862194148936175,"IsiZuluNewsClassification":0.241755,"TwitterHjerneRetrieval":0.07273,"STSB":0.469626,"STSES":0.783415,"KorSarcasmClassification":0.529297,"WinoGrande":0.32151,"SentimentAnalysisHindi":0.403897,"RuBQReranking":0.583846,"CyrillicTurkicLangClassification":0.594678,"FilipinoShopeeReviewsClassification":0.2704835,"STS22.v2":0.5990980555555556,"RomaniBibleClustering":0.324684,"MacedonianTweetSentimentClassification":0.426251,"AfriSentiClassification":0.39867991666666663,"STS12":0.655476,"LegalBenchCorporateLobbying":0.88933,"TweetTopicSingleClassification":0.684879,"MultiEURLEXMultilabelClassification":0.03475739130434783,"T2Reranking":0.628806,"GreekLegalCodeClassification":0.15664050000000002,"SlovakMovieReviewSentimentClassification":0.5771,"FaroeseSTS":0.578957,"SwissJudgementClassification":0.531038,"TwitterURLCorpus":0.827212,"TRECCOVID":0.55811,"IndicLangClassification":0.45788,"GujaratiNewsClassification":0.430273,"ItaCaseholdClassification":0.699095,"FloresBitextMining":0.11339235598377281,"Robust04InstructionRetrieval":-0.067609,"BulgarianStoreReviewSentimentClassfication":0.411538,"OdiaNewsClassification":0.517682,"TswanaNewsClassification":0.252361,"PlscClusteringP2P.v2":0.68548,"FinancialPhrasebankClassification":0.697615,"News21InstructionRetrieval":0.006465,"StackOverflowQA":0.77077,"Core17InstructionRetrieval":0.050609,"WebLINXCandidatesReranking":0.0860115,"PAC":0.616392,"VoyageMMarcoReranking":0.343,"MedrxivClusteringP2P.v2":0.338193,"GermanSTSBenchmark":0.7106555,"AlloprofReranking":0.6723549444979429,"AlloProfClusteringS2S.v2":0.394282,"ScalaClassification":0.50192875,"indonli":0.504118,"IN22GenBitextMining":0.03796669169960474,"CovidRetrieval":0.24557,"BigPatentClustering.v2":0.321243,"PawsXPairClassification":0.5940555,"NusaXBitextMining":0.22545518181818183,"NusaParagraphEmotionClassification":0.3071462,"LEMBPasskeyRetrieval":0.3725,"CTKFactsNLI":0.7148055,"DiaBlaBitextMining":0.75477,"IndonesianIdClickbaitClassification":0.558357,"XNLI":0.59131675},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"experiments":null},{"rank":129,"model":{"name":"intfloat/e5-small","url":"https://huggingface.co/intfloat/e5-small","zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@article{wang2022text,\n title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},\n author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},\n journal={arXiv preprint arXiv:2212.03533},\n year={2022}\n}\n","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/all-MiniLM-L6-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.014544,"MultilabelClassification":0.15219558260869565,"Classification":0.4656661236226838,"Retrieval":0.3625029502463909,"Reranking":0.3930348854166667,"Clustering":0.3630334317116538,"PairClassification":0.7296128222699608,"BitextMining":0.28072869070529716},"scoresByTask":{"SemRel24STS":0.36837891666666667,"FinParaSTS":0.157889,"PolEmo2.0-OUT":0.268016,"JSICK":0.52817,"SwednClusteringP2P":0.1799015,"MalteseNewsClassification":0.183631,"CzechProductReviewSentimentClassification":0.444922,"STS13":0.8179962989974363,"IndicCrosslingualSTS":0.032111,"SprintDuplicateQuestions":0.9532449994414968,"WikipediaRerankingMultilingual":0.7041503125,"EstonianValenceClassification":0.293276,"STS15":0.8749276894673141,"MLQARetrieval":0.1861634693877551,"HALClusteringS2S.v2":0.207176,"PoemSentimentClassification":0.5229395,"BrazilianToxicTweetsClassification":0.190381,"StatcanDialogueDatasetRetrieval":0.0765425,"NordicLangClassification":0.535,"ArXivHierarchicalClusteringP2P":0.54796,"NusaTranslationBitextMining":0.6814484545454546,"MassiveIntentClassification":0.2629470294117647,"CLSClusteringP2P.v2":0.128649,"WikipediaRetrievalMultilingual":0.541130625,"SinhalaNewsClassification":0.361377,"StackExchangeClustering.v2":0.4832468137399329,"MasakhaNEWSClassification":0.58863825,"NusaX-senti":0.5750000000000001,"CataloniaTweetClassification":0.45685525,"OpusparcusPC":0.8781661666666666,"ArmenianParaphrasePC":0.882041,"KorHateSpeechMLClassification":0.049239,"WikiClusteringP2P.v2":0.22860007142857142,"AmazonCounterfactualClassification":0.6615132499999999,"ArXivHierarchicalClusteringS2S":0.54653,"NepaliNewsClassification":0.436572,"ArguAna":0.46692999999999996,"AILAStatutes":0.20783,"ToxicConversationsClassification":0.7276460000000001,"IndicGenBenchFloresBitextMining":0.050545422413793104,"CSFDSKMovieReviewSentimentClassification":0.220508,"SiswatiNewsClassification":0.4625,"CEDRClassification":0.310893,"TempReasonL1":0.01704,"BiorxivClusteringP2P.v2":0.3816344531951946,"NorwegianCourtsBitextMining":0.931579,"PunjabiNewsClassification":0.572611,"SpartQA":0.04315,"BUCC.v2":0.24795775,"BornholmBitextMining":0.402706,"BibleNLPBitextMining":0.016724351449275362,"SIB200ClusteringS2S":0.07853925888324874,"RTE3":0.86220075,"TERRa":0.469144,"SwahiliNewsClassification":0.48877,"DBpediaClassification":0.891846,"HagridRetrieval":0.98545,"MultiHateClassification":0.5469636363636364,"WikiCitiesClustering":0.669485,"Tatoeba":0.077384625,"STS14":0.7848371403924872,"KurdishSentimentClassification":0.583744,"PpcPC":0.785408,"STSBenchmark":0.8636336704300167,"MasakhaNEWSClusteringS2S":0.3736984375,"MIRACLRetrievalHardNegatives":0.1399611111111111,"NTREXBitextMining":0.22067282985386222,"DalajClassification":0.498311,"SICK-R":0.789003023008781,"NollySentiBitextMining":0.3035,"SCIDOCS":0.16419,"BelebeleRetrieval":0.2604653989361702,"IsiZuluNewsClassification":0.24375,"TwitterHjerneRetrieval":0.19154,"STSB":0.3250075,"STSES":0.776992,"KorSarcasmClassification":0.545312,"WinoGrande":0.46726,"SentimentAnalysisHindi":0.371438,"RuBQReranking":0.176312,"CyrillicTurkicLangClassification":0.372559,"FilipinoShopeeReviewsClassification":0.287598,"STS22.v2":0.5086858888888889,"RomaniBibleClustering":0.384476,"MacedonianTweetSentimentClassification":0.298859,"AfriSentiClassification":0.3859208333333333,"STS12":0.7518834516024511,"LegalBenchCorporateLobbying":0.90205,"TweetTopicSingleClassification":0.666332,"MultiEURLEXMultilabelClassification":0.02683391304347826,"T2Reranking":0.588066,"GreekLegalCodeClassification":0.017773499999999998,"SlovakMovieReviewSentimentClassification":0.558008,"FaroeseSTS":0.671035,"SwissJudgementClassification":0.5198196666666667,"TwitterURLCorpus":0.8578879502899772,"TRECCOVID":0.7677700000000001,"IndicLangClassification":0.414988,"GujaratiNewsClassification":0.414036,"ItaCaseholdClassification":0.504072,"FloresBitextMining":0.1511652968946199,"Robust04InstructionRetrieval":-0.046914,"BulgarianStoreReviewSentimentClassfication":0.307692,"OdiaNewsClassification":0.617822,"TswanaNewsClassification":0.301232,"PlscClusteringP2P.v2":0.66116,"FinancialPhrasebankClassification":0.801413,"News21InstructionRetrieval":0.008654,"StackOverflowQA":0.71501,"Core17InstructionRetrieval":-0.005372,"WebLINXCandidatesReranking":0.073924,"PAC":0.640747,"VoyageMMarcoReranking":0.217124,"MedrxivClusteringP2P.v2":0.34459737263951334,"GermanSTSBenchmark":0.689844,"AlloprofReranking":0.598633,"AlloProfClusteringS2S.v2":0.304658,"ScalaClassification":0.499878,"indonli":0.478641,"IN22GenBitextMining":0.05000979446640316,"CovidRetrieval":0.01507,"BigPatentClustering.v2":0.288223,"PawsXPairClassification":0.5275314285714285,"NusaXBitextMining":0.28481245454545456,"NusaParagraphEmotionClassification":0.2863384,"LEMBPasskeyRetrieval":0.3775,"CTKFactsNLI":0.7323774999999999,"DiaBlaBitextMining":0.230967,"IndonesianIdClickbaitClassification":0.568099,"XNLI":0.5990982499999999},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":130,"model":{"name":"sdadas/mmlw-roberta-base","url":"https://huggingface.co/sdadas/mmlw-roberta-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2023-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Polish"],"citation":"@article{dadas2024pirb,\n title={{PIRB}: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods},\n author={Sławomir Dadas and Michał Perełkiewicz and Rafał Poświata},\n year={2024},\n eprint={2402.13350},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":475.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sdadas/polish-roberta-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":514,"meanTask":0.41511183777652927,"meanTaskType":0.34705984065391465,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.034431666666666666,"MultilabelClassification":0.15028761739130433,"Classification":0.4743918672575706,"Retrieval":0.3039357734543778,"Reranking":0.34438062499999994,"STS":0.5169085544507576,"Clustering":0.4016665851330221,"PairClassification":0.7324311320346321,"BitextMining":0.2339680778302341},"scoresByTask":{"SemRel24STS":0.25189225,"FinParaSTS":0.067164,"PolEmo2.0-OUT":0.4659919028340081,"JSICK":0.019684,"SwednClusteringP2P":0.2477515,"MalteseNewsClassification":0.195516,"CzechProductReviewSentimentClassification":0.437061,"STS13":0.842942,"IndicCrosslingualSTS":0.07787466666666668,"SprintDuplicateQuestions":0.961705,"WikipediaRerankingMultilingual":0.62459175,"EstonianValenceClassification":0.290831,"STS15":0.8817,"MLQARetrieval":0.14366255102040815,"HALClusteringS2S.v2":0.211766,"PoemSentimentClassification":0.541131,"BrazilianToxicTweetsClassification":0.167432,"StatcanDialogueDatasetRetrieval":0.1788,"STS17":0.35630545454545454,"NordicLangClassification":0.4962,"ArXivHierarchicalClusteringP2P":0.606571,"NusaTranslationBitextMining":0.6216513636363636,"MassiveIntentClassification":0.27421659803921566,"CLSClusteringP2P.v2":0.101686,"WikipediaRetrievalMultilingual":0.36243375,"SinhalaNewsClassification":0.384717,"StackExchangeClustering.v2":0.542221,"MasakhaNEWSClassification":0.6159915625,"NusaX-senti":0.5802291666666667,"CataloniaTweetClassification":0.45625175,"OpusparcusPC":0.8585046666666667,"ArmenianParaphrasePC":0.829569,"KorHateSpeechMLClassification":0.02052,"WikiClusteringP2P.v2":0.24505921428571428,"AmazonCounterfactualClassification":0.653863,"ArXivHierarchicalClusteringS2S":0.53796,"NepaliNewsClassification":0.40752,"ArguAna":0.59993,"AILAStatutes":0.18814,"ToxicConversationsClassification":0.654199,"IndicGenBenchFloresBitextMining":0.05365772413793103,"CSFDSKMovieReviewSentimentClassification":0.22251,"SiswatiNewsClassification":0.71625,"CEDRClassification":0.339904,"TempReasonL1":0.0139,"BiorxivClusteringP2P.v2":0.418753,"NorwegianCourtsBitextMining":0.901316,"PunjabiNewsClassification":0.689172,"SpartQA":0.06707,"BUCC.v2":0.13006325000000002,"BornholmBitextMining":0.317155,"BibleNLPBitextMining":0.01464384963768116,"SIB200ClusteringS2S":0.0806195228426396,"RTE3":0.87429275,"TERRa":0.452103,"SwahiliNewsClassification":0.517383,"DBpediaClassification":0.862451,"HagridRetrieval":0.98687,"MultiHateClassification":0.5590090909090909,"WikiCitiesClustering":0.870219,"Tatoeba":0.07120942857142858,"STS14":0.826476,"KurdishSentimentClassification":0.583694,"PpcPC":0.929657,"STSBenchmark":0.864214,"MasakhaNEWSClusteringS2S":0.418126125,"MIRACLRetrievalHardNegatives":0.052367222222222225,"NTREXBitextMining":0.18215324269311065,"DalajClassification":0.501014,"SICK-R":0.806494,"NollySentiBitextMining":0.28317200000000003,"SCIDOCS":0.05702,"BelebeleRetrieval":0.23265039893617023,"IsiZuluNewsClassification":0.242287,"TwitterHjerneRetrieval":0.22752,"STSB":0.0273505,"STSES":0.673884,"KorSarcasmClassification":0.526074,"WinoGrande":0.07959,"SentimentAnalysisHindi":0.335972,"RuBQReranking":0.158692,"CyrillicTurkicLangClassification":0.155518,"FilipinoShopeeReviewsClassification":0.28464350000000005,"STS22.v2":0.4812725,"RomaniBibleClustering":0.371307,"MacedonianTweetSentimentClassification":0.288762,"AfriSentiClassification":0.39244983333333333,"STS12":0.778013,"LegalBenchCorporateLobbying":0.90864,"TweetTopicSingleClassification":0.722209,"MultiEURLEXMultilabelClassification":0.028066086956521737,"T2Reranking":0.549738,"GreekLegalCodeClassification":0.0242675,"SlovakMovieReviewSentimentClassification":0.562207,"FaroeseSTS":0.665164,"SwissJudgementClassification":0.5199079999999999,"TwitterURLCorpus":0.856037,"TRECCOVID":0.41243,"IndicLangClassification":0.151095,"GujaratiNewsClassification":0.457587,"ItaCaseholdClassification":0.842081,"FloresBitextMining":0.12707233888727906,"Robust04InstructionRetrieval":-0.081814,"BulgarianStoreReviewSentimentClassfication":0.317033,"OdiaNewsClassification":0.578371,"TswanaNewsClassification":0.26961,"PlscClusteringP2P.v2":0.721831,"FinancialPhrasebankClassification":0.799956,"News21InstructionRetrieval":-0.00316,"StackOverflowQA":0.70095,"Core17InstructionRetrieval":-0.018321,"WebLINXCandidatesReranking":0.083162,"PAC":0.6587315377932232,"VoyageMMarcoReranking":0.145586,"MedrxivClusteringP2P.v2":0.375717,"GermanSTSBenchmark":0.6501064999999999,"AlloprofReranking":0.504514,"AlloProfClusteringS2S.v2":0.322387,"ScalaClassification":0.50113525,"indonli":0.484787,"IN22GenBitextMining":0.0714356324110672,"CovidRetrieval":0.00137,"BigPatentClustering.v2":0.354691,"PawsXPairClassification":0.49858685714285716,"NusaXBitextMining":0.21776518181818183,"NusaParagraphEmotionClassification":0.2937656,"LEMBPasskeyRetrieval":0.2575,"CTKFactsNLI":0.7376875,"DiaBlaBitextMining":0.05029,"IndonesianIdClickbaitClassification":0.565501,"XNLI":0.5738126785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":131,"model":{"name":"Snowflake/snowflake-arctic-embed-l","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-l","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-04-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":1274.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-base-unsupervised","supersededBy":"Snowflake/snowflake-arctic-embed-l-v2.0","extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.014932666666666669,"MultilabelClassification":0.16024198260869565,"Classification":0.47113306452400194,"Retrieval":0.3965567835666576,"Reranking":0.4427168854166667,"Clustering":0.39051533010135053,"PairClassification":0.7157609811950489,"BitextMining":0.22561662300745933},"scoresByTask":{"SemRel24STS":0.3192643333333333,"FinParaSTS":0.18348550000000002,"PolEmo2.0-OUT":0.271862,"JSICK":0.59806,"SwednClusteringP2P":0.1968925,"MalteseNewsClassification":0.189813,"CzechProductReviewSentimentClassification":0.431592,"STS13":0.7748991626780107,"IndicCrosslingualSTS":0.10954291666666666,"SprintDuplicateQuestions":0.9522680188132777,"WikipediaRerankingMultilingual":0.7021168125,"EstonianValenceClassification":0.294866,"STS15":0.8016458787843023,"MLQARetrieval":0.24280020408163264,"HALClusteringS2S.v2":0.258149,"PoemSentimentClassification":0.4368315,"BrazilianToxicTweetsClassification":0.232031,"StatcanDialogueDatasetRetrieval":0.21021,"NordicLangClassification":0.5525,"ArXivHierarchicalClusteringP2P":0.563437,"NusaTranslationBitextMining":0.6483054545454545,"MassiveIntentClassification":0.2739723529411765,"CLSClusteringP2P.v2":0.188057,"WikipediaRetrievalMultilingual":0.5482225,"SinhalaNewsClassification":0.369922,"StackExchangeClustering.v2":0.566869,"MasakhaNEWSClassification":0.6111703125,"NusaX-senti":0.5677708333333333,"CataloniaTweetClassification":0.467506,"OpusparcusPC":0.84862875,"ArmenianParaphrasePC":0.86661,"KorHateSpeechMLClassification":0.041679,"WikiClusteringP2P.v2":0.23510085714285717,"AmazonCounterfactualClassification":0.5834545,"ArXivHierarchicalClusteringS2S":0.582928,"NepaliNewsClassification":0.543604,"ArguAna":0.59086,"AILAStatutes":0.27365,"ToxicConversationsClassification":0.647092,"IndicGenBenchFloresBitextMining":0.01776551724137931,"CSFDSKMovieReviewSentimentClassification":0.218359,"SiswatiNewsClassification":0.44875,"CEDRClassification":0.310733,"TempReasonL1":0.0173,"BiorxivClusteringP2P.v2":0.388528,"NorwegianCourtsBitextMining":0.861111,"PunjabiNewsClassification":0.644586,"SpartQA":0.0065,"BUCC.v2":0.18114624999999998,"BornholmBitextMining":0.262686,"BibleNLPBitextMining":0.00931565157004831,"SIB200ClusteringS2S":0.07890084771573604,"RTE3":0.860692,"TERRa":0.477863,"SwahiliNewsClassification":0.492969,"DBpediaClassification":0.866113,"HagridRetrieval":0.98795,"MultiHateClassification":0.5527909090909091,"WikiCitiesClustering":0.8553143892630151,"Tatoeba":0.04142284821428571,"STS14":0.6977157648098141,"KurdishSentimentClassification":0.600302,"PpcPC":0.733093,"STSBenchmark":0.7567875747588545,"MasakhaNEWSClusteringS2S":0.3863116875,"MIRACLRetrievalHardNegatives":0.1858627777777778,"NTREXBitextMining":0.17786839770354904,"DalajClassification":0.503041,"SICK-R":0.6932425977603488,"NollySentiBitextMining":0.21115325,"SCIDOCS":0.21361,"BelebeleRetrieval":0.31208662234042556,"IsiZuluNewsClassification":0.250399,"TwitterHjerneRetrieval":0.07392,"STSB":0.29897,"STSES":0.604409,"KorSarcasmClassification":0.525146,"WinoGrande":0.433,"SentimentAnalysisHindi":0.375468,"RuBQReranking":0.329512,"CyrillicTurkicLangClassification":0.540186,"FilipinoShopeeReviewsClassification":0.267798,"STS22.v2":0.43443716666666665,"RomaniBibleClustering":0.358809,"MacedonianTweetSentimentClassification":0.289816,"AfriSentiClassification":0.39500716666666663,"STS12":0.6785470749045026,"LegalBenchCorporateLobbying":0.93436,"TweetTopicSingleClassification":0.689604,"MultiEURLEXMultilabelClassification":0.026953913043478262,"T2Reranking":0.564014,"GreekLegalCodeClassification":0.033911,"SlovakMovieReviewSentimentClassification":0.568555,"FaroeseSTS":0.590645,"SwissJudgementClassification":0.5296460000000001,"TwitterURLCorpus":0.8484152743322607,"TRECCOVID":0.80716,"IndicLangClassification":0.442633,"GujaratiNewsClassification":0.44742,"ItaCaseholdClassification":0.662443,"FloresBitextMining":0.11178552231237324,"Robust04InstructionRetrieval":-0.067457,"BulgarianStoreReviewSentimentClassfication":0.33956,"OdiaNewsClassification":0.605319,"TswanaNewsClassification":0.259138,"PlscClusteringP2P.v2":0.642763,"FinancialPhrasebankClassification":0.690239,"News21InstructionRetrieval":0.001653,"StackOverflowQA":0.89673,"Core17InstructionRetrieval":0.021006,"WebLINXCandidatesReranking":0.0800015,"PAC":0.639328,"VoyageMMarcoReranking":0.27969,"MedrxivClusteringP2P.v2":0.344783,"GermanSTSBenchmark":0.5383065,"AlloprofReranking":0.700967,"AlloProfClusteringS2S.v2":0.377951,"ScalaClassification":0.500122,"indonli":0.484923,"IN22GenBitextMining":0.03198884387351778,"CovidRetrieval":0.0188,"BigPatentClustering.v2":0.223451,"PawsXPairClassification":0.5307565714285715,"NusaXBitextMining":0.24681136363636363,"NusaParagraphEmotionClassification":0.2683742,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.712475,"DiaBlaBitextMining":0.131656,"IndonesianIdClickbaitClassification":0.559555,"XNLI":0.5576461785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":132,"model":{"name":"McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised","zeroShotPct":98,"activeParamsB":7.022,"totalParamsB":7.153,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":7.022,"totalParamsB":7.153,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.008511,"Classification":0.5723644963199022,"Retrieval":0.43072489307090056,"Reranking":0.5545868541666666,"Clustering":0.41258558103415066,"PairClassification":0.7679610281485325},"scoresByTask":{"SemRel24STS":0.5175863333333334,"FinParaSTS":0.1228635,"PolEmo2.0-OUT":0.418421,"JSICK":0.77398,"SwednClusteringP2P":0.3804895,"CzechProductReviewSentimentClassification":0.525781,"STS13":0.8637435789895171,"IndicCrosslingualSTS":0.11996699999999999,"SprintDuplicateQuestions":0.9681785428870713,"WikipediaRerankingMultilingual":0.835129625,"EstonianValenceClassification":0.333863,"STS15":0.8899055778929946,"MLQARetrieval":0.3983322448979592,"HALClusteringS2S.v2":0.245256,"PoemSentimentClassification":0.473182,"StatcanDialogueDatasetRetrieval":0.4058,"NordicLangClassification":0.6953,"ArXivHierarchicalClusteringP2P":0.568412,"MassiveIntentClassification":0.5657671470588236,"CLSClusteringP2P.v2":0.369034,"WikipediaRetrievalMultilingual":0.77665875,"SinhalaNewsClassification":0.47749,"StackExchangeClustering.v2":0.524789,"MasakhaNEWSClassification":0.676055125,"NusaX-senti":0.6036041666666666,"CataloniaTweetClassification":0.4847605,"OpusparcusPC":0.9195688333333334,"ArmenianParaphrasePC":0.90903,"WikiClusteringP2P.v2":0.26171335714285715,"AmazonCounterfactualClassification":0.78759875,"ArXivHierarchicalClusteringS2S":0.517641,"NepaliNewsClassification":0.888623,"ArguAna":0.57483,"AILAStatutes":0.30214,"ToxicConversationsClassification":0.6926140000000001,"CSFDSKMovieReviewSentimentClassification":0.299756,"SiswatiNewsClassification":0.75,"CEDRClassification":0.392774,"TempReasonL1":0.00718,"BiorxivClusteringP2P.v2":0.388299,"PunjabiNewsClassification":0.581529,"SpartQA":0.02145,"SIB200ClusteringS2S":0.1524481269035533,"RTE3":0.8901574999999999,"TERRa":0.55083,"SwahiliNewsClassification":0.614258,"DBpediaClassification":0.915381,"HagridRetrieval":0.98692,"MultiHateClassification":0.6059636363636364,"WikiCitiesClustering":0.876943,"STS14":0.8404036612478626,"KurdishSentimentClassification":0.599648,"PpcPC":0.794905,"STSBenchmark":0.8865370934976113,"MasakhaNEWSClusteringS2S":0.3558803125,"MIRACLRetrievalHardNegatives":0.29232888888888886,"DalajClassification":0.50045,"SICK-R":0.836969699802343,"SCIDOCS":0.22497,"BelebeleRetrieval":0.3886981914893617,"IsiZuluNewsClassification":0.265293,"TwitterHjerneRetrieval":0.18225,"STSB":0.6950265,"STSES":0.745069,"KorSarcasmClassification":0.563184,"WinoGrande":0.57747,"SentimentAnalysisHindi":0.45193,"RuBQReranking":0.662601,"CyrillicTurkicLangClassification":0.74292,"FilipinoShopeeReviewsClassification":0.3366945,"STS22.v2":0.6203485,"RomaniBibleClustering":0.387973,"MacedonianTweetSentimentClassification":0.486479,"AfriSentiClassification":0.42153666666666667,"STS12":0.7880312217691351,"LegalBenchCorporateLobbying":0.81542,"TweetTopicSingleClassification":0.703957,"T2Reranking":0.625821,"GreekLegalCodeClassification":0.2689455,"SlovakMovieReviewSentimentClassification":0.646533,"FaroeseSTS":0.560912,"SwissJudgementClassification":0.556426,"TwitterURLCorpus":0.8655972191277392,"TRECCOVID":0.77692,"IndicLangClassification":0.868529,"GujaratiNewsClassification":0.541199,"ItaCaseholdClassification":0.920814,"Robust04InstructionRetrieval":-0.041099,"BulgarianStoreReviewSentimentClassfication":0.564286,"OdiaNewsClassification":0.466052,"TswanaNewsClassification":0.311704,"PlscClusteringP2P.v2":0.687617,"FinancialPhrasebankClassification":0.82606,"News21InstructionRetrieval":0.002583,"StackOverflowQA":0.79028,"Core17InstructionRetrieval":0.012983,"WebLINXCandidatesReranking":0.061324500000000004,"PAC":0.681958,"VoyageMMarcoReranking":0.479265,"MedrxivClusteringP2P.v2":0.361269,"GermanSTSBenchmark":0.696469,"AlloprofReranking":0.66338,"AlloProfClusteringS2S.v2":0.302643,"ScalaClassification":0.51634525,"indonli":0.524215,"CovidRetrieval":0.0839,"BigPatentClustering.v2":0.220962,"PawsXPairClassification":0.614911357142857,"NusaParagraphEmotionClassification":0.3806121,"LEMBPasskeyRetrieval":0.1475,"CTKFactsNLI":0.7664435,"IndonesianIdClickbaitClassification":0.60017,"XNLI":0.6437343571428571},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":133,"model":{"name":"Mihaiii/Ivysaur","url":"https://huggingface.co/Mihaiii/Ivysaur","zeroShotPct":-1,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":87.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Mihaiii/jhjghjgh","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02218233333333333,"MultilabelClassification":0.15626853913043476,"Classification":0.48437087037811427,"Retrieval":0.3442449058611821,"Reranking":0.44072136805555556,"Clustering":0.3756458204116434,"PairClassification":0.7152822955347466,"BitextMining":0.22850497881625442},"scoresByTask":{"SemRel24STS":0.3757251666666666,"FinParaSTS":0.1021665,"PolEmo2.0-OUT":0.293927,"JSICK":0.675797,"SwednClusteringP2P":0.200671,"MalteseNewsClassification":0.195951,"CzechProductReviewSentimentClassification":0.432959,"STS13":0.8054473705232682,"IndicCrosslingualSTS":0.0025066666666666653,"SprintDuplicateQuestions":0.9511999931294784,"WikipediaRerankingMultilingual":0.730623375,"EstonianValenceClassification":0.287042,"STS15":0.8615687211744393,"MLQARetrieval":0.16408193877551022,"HALClusteringS2S.v2":0.157886,"PoemSentimentClassification":0.502834,"BrazilianToxicTweetsClassification":0.203418,"StatcanDialogueDatasetRetrieval":0.12814,"NordicLangClassification":0.5226,"ArXivHierarchicalClusteringP2P":0.573228,"NusaTranslationBitextMining":0.5850709090909091,"MassiveIntentClassification":0.3452362647058823,"CLSClusteringP2P.v2":0.177264,"WikipediaRetrievalMultilingual":0.495950625,"SinhalaNewsClassification":0.383936,"StackExchangeClustering.v2":0.512396,"MasakhaNEWSClassification":0.6020488125,"NusaX-senti":0.5326875,"CataloniaTweetClassification":0.440623,"OpusparcusPC":0.8765358333333334,"ArmenianParaphrasePC":0.878657,"KorHateSpeechMLClassification":0.028081,"WikiClusteringP2P.v2":0.237083,"AmazonCounterfactualClassification":0.663299875,"ArXivHierarchicalClusteringS2S":0.535422,"NepaliNewsClassification":0.450586,"ArguAna":0.55783,"AILAStatutes":0.27879,"ToxicConversationsClassification":0.65458984375,"IndicGenBenchFloresBitextMining":0.033320698275862065,"CSFDSKMovieReviewSentimentClassification":0.21167,"SiswatiNewsClassification":0.76625,"CEDRClassification":0.329224,"TempReasonL1":0.0088,"BiorxivClusteringP2P.v2":0.414341,"NorwegianCourtsBitextMining":0.903509,"PunjabiNewsClassification":0.633758,"SpartQA":0.0148,"BUCC.v2":0.13457425,"BornholmBitextMining":0.344061,"BibleNLPBitextMining":0.011730484903381641,"SIB200ClusteringS2S":0.056063939086294416,"RTE3":0.857082,"TERRa":0.441301,"SwahiliNewsClassification":0.487451,"DBpediaClassification":0.900342,"HagridRetrieval":0.9874,"MultiHateClassification":0.5486363636363637,"WikiCitiesClustering":0.810401,"Tatoeba":0.04643772321428571,"STS14":0.7762868051470301,"KurdishSentimentClassification":0.562808,"PpcPC":0.703634,"STSBenchmark":0.8424952159575492,"MasakhaNEWSClusteringS2S":0.3685791875,"MIRACLRetrievalHardNegatives":0.11790555555555556,"NTREXBitextMining":0.16077232985386222,"DalajClassification":0.506306,"SICK-R":0.7563155962642634,"NollySentiBitextMining":0.2985905,"SCIDOCS":0.18636,"BelebeleRetrieval":0.22698018617021276,"IsiZuluNewsClassification":0.254521,"TwitterHjerneRetrieval":0.11278,"STSB":0.4629725,"STSES":0.677125,"KorSarcasmClassification":0.543604,"WinoGrande":0.14334,"SentimentAnalysisHindi":0.350818,"RuBQReranking":0.32507,"CyrillicTurkicLangClassification":0.634619,"FilipinoShopeeReviewsClassification":0.27326700000000004,"STS22.v2":0.5210503888888889,"RomaniBibleClustering":0.377818,"MacedonianTweetSentimentClassification":0.363126,"AfriSentiClassification":0.3711433333333334,"STS12":0.6858158236004102,"LegalBenchCorporateLobbying":0.90486,"TweetTopicSingleClassification":0.669817,"MultiEURLEXMultilabelClassification":0.024668695652173913,"T2Reranking":0.60909,"GreekLegalCodeClassification":0.033252000000000004,"SlovakMovieReviewSentimentClassification":0.537109,"FaroeseSTS":0.699027,"SwissJudgementClassification":0.5343483333333333,"TwitterURLCorpus":0.8508920672765428,"TRECCOVID":0.60324,"IndicLangClassification":0.427457,"GujaratiNewsClassification":0.415933,"ItaCaseholdClassification":0.824887,"FloresBitextMining":0.1020969399449435,"Robust04InstructionRetrieval":-0.047622,"BulgarianStoreReviewSentimentClassfication":0.326374,"OdiaNewsClassification":0.583239,"TswanaNewsClassification":0.261191,"PlscClusteringP2P.v2":0.63342,"FinancialPhrasebankClassification":0.762102,"News21InstructionRetrieval":-0.009284,"StackOverflowQA":0.72512,"Core17InstructionRetrieval":-0.009641,"WebLINXCandidatesReranking":0.08615283333333333,"PAC":0.605908,"VoyageMMarcoReranking":0.303166,"MedrxivClusteringP2P.v2":0.366592,"GermanSTSBenchmark":0.6810339999999999,"AlloprofReranking":0.590226,"AlloProfClusteringS2S.v2":0.289179,"ScalaClassification":0.500659,"indonli":0.484901,"IN22GenBitextMining":0.045603252964426876,"CovidRetrieval":0.15753,"BigPatentClustering.v2":0.299989,"PawsXPairClassification":0.5212865,"NusaXBitextMining":0.21657563636363636,"NusaParagraphEmotionClassification":0.2837691,"LEMBPasskeyRetrieval":0.3825,"CTKFactsNLI":0.713715,"DiaBlaBitextMining":0.088222,"IndonesianIdClickbaitClassification":0.541213,"XNLI":0.5889008571428571},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":134,"model":{"name":"Snowflake/snowflake-arctic-embed-m-long","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-m-long","zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2024-04-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":522.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"nomic-ai/nomic-embed-text-v1-unsupervised","supersededBy":"Snowflake/snowflake-arctic-embed-m-v2.0","extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":96,"activeParamsB":null,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.018891333333333333,"MultilabelClassification":0.1632494695652174,"Retrieval":0.3929647560415025,"Reranking":0.4165529548611111,"PairClassification":0.7166985060170344,"BitextMining":0.22764602480613097},"scoresByTask":{"SemRel24STS":0.380687,"FinParaSTS":0.092913,"PolEmo2.0-OUT":0.299798,"JSICK":0.601388,"SwednClusteringP2P":0.22719050000000002,"MalteseNewsClassification":0.227688,"CzechProductReviewSentimentClassification":0.436084,"STS13":0.7982293444619499,"IndicCrosslingualSTS":0.10010741666666667,"SprintDuplicateQuestions":0.9467482871230737,"WikipediaRerankingMultilingual":0.6932105625,"EstonianValenceClassification":0.300367,"STS15":0.8323485786963107,"MLQARetrieval":0.22723500000000002,"HALClusteringS2S.v2":0.23526,"PoemSentimentClassification":0.4531185,"BrazilianToxicTweetsClassification":0.196387,"StatcanDialogueDatasetRetrieval":0.10345499999999999,"NordicLangClassification":0.4813,"ArXivHierarchicalClusteringP2P":0.572668,"NusaTranslationBitextMining":0.6233441818181817,"MassiveIntentClassification":0.27962846078431375,"CLSClusteringP2P.v2":0.177757,"WikipediaRetrievalMultilingual":0.48369625,"SinhalaNewsClassification":0.384814,"StackExchangeClustering.v2":0.571214,"NusaX-senti":0.5629583333333333,"CataloniaTweetClassification":0.47711000000000003,"OpusparcusPC":0.8605435,"ArmenianParaphrasePC":0.875138,"KorHateSpeechMLClassification":0.051301,"WikiClusteringP2P.v2":0.23223,"AmazonCounterfactualClassification":0.584447875,"ArXivHierarchicalClusteringS2S":0.554602,"NepaliNewsClassification":0.551709,"ArguAna":0.60364,"AILAStatutes":0.21624,"ToxicConversationsClassification":0.66739,"IndicGenBenchFloresBitextMining":0.022610672413793106,"CSFDSKMovieReviewSentimentClassification":0.2125,"SiswatiNewsClassification":0.41375,"CEDRClassification":0.319607,"TempReasonL1":0.0157,"BiorxivClusteringP2P.v2":0.372768,"NorwegianCourtsBitextMining":0.858918,"PunjabiNewsClassification":0.667516,"SpartQA":0.02574,"BUCC.v2":0.1508535,"BornholmBitextMining":0.304881,"BibleNLPBitextMining":0.008844482487922706,"SIB200ClusteringS2S":0.07912711167512691,"RTE3":0.8576435,"TERRa":0.463423,"SwahiliNewsClassification":0.454883,"DBpediaClassification":0.89668,"HagridRetrieval":0.98847,"MultiHateClassification":0.5518545454545455,"WikiCitiesClustering":0.8563474850264893,"Tatoeba":0.0311336875,"STS14":0.7363809739428072,"KurdishSentimentClassification":0.605234,"PpcPC":0.713423,"STSBenchmark":0.7789671867168987,"MIRACLRetrievalHardNegatives":0.12649055555555555,"NTREXBitextMining":0.18661414300626306,"DalajClassification":0.500788,"SICK-R":0.7091162732446628,"NollySentiBitextMining":0.240211,"SCIDOCS":0.2047,"BelebeleRetrieval":0.30272880319148937,"IsiZuluNewsClassification":0.249468,"TwitterHjerneRetrieval":0.11559,"STSB":0.3760015,"STSES":0.681952,"KorSarcasmClassification":0.515479,"WinoGrande":0.64711,"SentimentAnalysisHindi":0.402126,"RuBQReranking":0.306202,"CyrillicTurkicLangClassification":0.587988,"FilipinoShopeeReviewsClassification":0.268164,"STS22.v2":0.37561222222222224,"RomaniBibleClustering":0.343107,"MacedonianTweetSentimentClassification":0.323003,"AfriSentiClassification":0.39396800000000004,"STS12":0.6610824660353681,"LegalBenchCorporateLobbying":0.93313,"TweetTopicSingleClassification":0.705966,"MultiEURLEXMultilabelClassification":0.02126434782608696,"T2Reranking":0.551705,"GreekLegalCodeClassification":0.014404,"SlovakMovieReviewSentimentClassification":0.559131,"FaroeseSTS":0.598146,"SwissJudgementClassification":0.5283646666666666,"TwitterURLCorpus":0.8520971719214487,"TRECCOVID":0.81698,"IndicLangClassification":0.462529,"GujaratiNewsClassification":0.481259,"ItaCaseholdClassification":0.41629,"FloresBitextMining":0.1236145722495895,"Robust04InstructionRetrieval":-0.059046,"BulgarianStoreReviewSentimentClassfication":0.318681,"OdiaNewsClassification":0.59868,"TswanaNewsClassification":0.237782,"PlscClusteringP2P.v2":0.640907,"FinancialPhrasebankClassification":0.692049,"News21InstructionRetrieval":-0.003927,"StackOverflowQA":0.89846,"Core17InstructionRetrieval":0.006299,"WebLINXCandidatesReranking":0.11033116666666666,"PAC":0.633131,"VoyageMMarcoReranking":0.255518,"MedrxivClusteringP2P.v2":0.348386,"GermanSTSBenchmark":0.5706675,"AlloprofReranking":0.582351,"AlloProfClusteringS2S.v2":0.359116,"ScalaClassification":0.501062,"indonli":0.488977,"IN22GenBitextMining":0.037987355731225296,"CovidRetrieval":0.004,"BigPatentClustering.v2":0.294988,"PawsXPairClassification":0.5237563571428571,"NusaXBitextMining":0.28069272727272726,"NusaParagraphEmotionClassification":0.2564091,"LEMBPasskeyRetrieval":0.36,"CTKFactsNLI":0.734663,"DiaBlaBitextMining":0.089693,"IndonesianIdClickbaitClassification":0.537502,"XNLI":0.5672707499999999},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":135,"model":{"name":"bigscience/sgpt-bloom-7b1-msmarco","url":"https://huggingface.co/bigscience/sgpt-bloom-7b1-msmarco","zeroShotPct":-1,"activeParamsB":6.041,"totalParamsB":7.068,"embeddingDim":4096,"maxTokens":null,"releaseDate":"2022-08-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":"@article{muennighoff2022sgpt,\n title={SGPT: GPT Sentence Embeddings for Semantic Search},\n author={Muennighoff, Niklas},\n journal={arXiv preprint arXiv:2202.08904},\n year={2022}\n}","memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"/gpfsscratch/rech/six/commun/commun/experiments/muennighoff/bloomckpt/6b3/bloom-7b1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":6.041,"totalParamsB":7.068,"embeddingDim":4096,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.030173999999999996,"MultilabelClassification":0.1325609739130435,"Retrieval":0.35268812382064724,"Reranking":0.4349912118055556,"STS":0.5704009244446415,"Clustering":0.3179312857341144,"PairClassification":0.7234818330175209,"BitextMining":0.2987588386565331},"scoresByTask":{"SemRel24STS":0.48233925000000005,"FinParaSTS":0.0593905,"PolEmo2.0-OUT":0.325101,"JSICK":0.578796,"SwednClusteringP2P":0.012414499999999998,"MalteseNewsClassification":0.075664,"CzechProductReviewSentimentClassification":0.410986,"STS13":0.7966529244176742,"IndicCrosslingualSTS":0.09793233333333333,"SprintDuplicateQuestions":0.9492527097094644,"WikipediaRerankingMultilingual":0.6661649375,"EstonianValenceClassification":0.294743,"STS15":0.8380600789090722,"MLQARetrieval":0.28562938775510205,"HALClusteringS2S.v2":0.050981,"PoemSentimentClassification":0.4477795,"BrazilianToxicTweetsClassification":0.181592,"StatcanDialogueDatasetRetrieval":0.312815,"STS17":0.655872638863636,"NordicLangClassification":0.5771,"ArXivHierarchicalClusteringP2P":0.52787,"NusaTranslationBitextMining":0.4459588181818182,"CLSClusteringP2P.v2":0.296291,"WikipediaRetrievalMultilingual":0.3532425,"SinhalaNewsClassification":0.401221,"StackExchangeClustering.v2":0.331096,"MasakhaNEWSClassification":0.5930598125,"NusaX-senti":0.5517500000000001,"CataloniaTweetClassification":0.46953575000000003,"OpusparcusPC":0.8625081666666667,"ArmenianParaphrasePC":0.896248,"KorHateSpeechMLClassification":0.056456,"WikiClusteringP2P.v2":0.22819357142857144,"ArXivHierarchicalClusteringS2S":0.502851,"NepaliNewsClassification":0.891113,"ArguAna":0.47282,"AILAStatutes":0.25926,"ToxicConversationsClassification":0.6654519999999999,"IndicGenBenchFloresBitextMining":0.34522592241379313,"CSFDSKMovieReviewSentimentClassification":0.20835,"SiswatiNewsClassification":0.74,"CEDRClassification":0.325452,"TempReasonL1":0.00335,"BiorxivClusteringP2P.v2":0.332526,"NorwegianCourtsBitextMining":0.781433,"PunjabiNewsClassification":0.785987,"SpartQA":0.04358,"BUCC.v2":0.4513395,"BornholmBitextMining":0.255081,"BibleNLPBitextMining":0.026885094806763286,"SIB200ClusteringS2S":0.024771187817258882,"RTE3":0.872551,"TERRa":0.475586,"SwahiliNewsClassification":0.631445,"DBpediaClassification":0.896582,"HagridRetrieval":0.97057,"MultiHateClassification":0.5711181818181819,"WikiCitiesClustering":0.813058,"Tatoeba":0.29566935176695136,"STS14":0.746076920702392,"KurdishSentimentClassification":0.562758,"PpcPC":0.673696,"STSBenchmark":0.8089611873505183,"MasakhaNEWSClusteringS2S":0.2848403125,"MIRACLRetrievalHardNegatives":0.13143388888888888,"NTREXBitextMining":0.16564545668058453,"DalajClassification":0.502703,"SICK-R":0.6981522686267632,"NollySentiBitextMining":0.22885275,"SCIDOCS":0.18619,"BelebeleRetrieval":0.2083954521276596,"IsiZuluNewsClassification":0.245878,"TwitterHjerneRetrieval":0.11582,"STSB":0.49429999999999996,"STSES":0.714869,"KorSarcasmClassification":0.530225,"WinoGrande":0.02003,"SentimentAnalysisHindi":0.429962,"RuBQReranking":0.332419,"CyrillicTurkicLangClassification":0.683545,"FilipinoShopeeReviewsClassification":0.2610105,"STS22.v2":0.5168171666666667,"RomaniBibleClustering":0.382845,"MacedonianTweetSentimentClassification":0.360316,"AfriSentiClassification":0.371198,"STS12":0.6966180222442091,"LegalBenchCorporateLobbying":0.89559,"TweetTopicSingleClassification":0.572002,"MultiEURLEXMultilabelClassification":0.023640869565217392,"T2Reranking":0.625014,"GreekLegalCodeClassification":0.1936275,"SlovakMovieReviewSentimentClassification":0.536914,"FaroeseSTS":0.448365,"SwissJudgementClassification":0.5477286666666666,"TwitterURLCorpus":0.8546387153880272,"TRECCOVID":0.81368,"IndicLangClassification":0.787833,"GujaratiNewsClassification":0.713961,"ItaCaseholdClassification":0.943891,"FloresBitextMining":0.09681681698541486,"Robust04InstructionRetrieval":-0.078953,"BulgarianStoreReviewSentimentClassfication":0.320879,"OdiaNewsClassification":0.704135,"TswanaNewsClassification":0.232033,"PlscClusteringP2P.v2":0.596617,"FinancialPhrasebankClassification":0.669744,"News21InstructionRetrieval":-0.010396,"StackOverflowQA":0.64413,"Core17InstructionRetrieval":-0.001173,"WebLINXCandidatesReranking":0.06275533333333333,"PAC":0.628787,"VoyageMMarcoReranking":0.318902,"MedrxivClusteringP2P.v2":0.314385,"GermanSTSBenchmark":0.4932115,"AlloprofReranking":0.604692,"AlloProfClusteringS2S.v2":0.167101,"ScalaClassification":0.50426025,"indonli":0.50841,"IN22GenBitextMining":0.18983728260869565,"CovidRetrieval":0.50435,"BigPatentClustering.v2":0.22106,"PawsXPairClassification":0.5932538571428572,"NusaXBitextMining":0.3206119090909091,"NusaParagraphEmotionClassification":0.3434601,"LEMBPasskeyRetrieval":0.1275,"CTKFactsNLI":0.7067650000000001,"DiaBlaBitextMining":0.280508,"IndonesianIdClickbaitClassification":0.549057,"XNLI":0.5653907142857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":136,"model":{"name":"cnmoro/static-nomic-384-pten-v2-st","url":"https://huggingface.co/cnmoro/static-nomic-384-pten-v2-st","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.106,"embeddingDim":384,"maxTokens":null,"releaseDate":"2026-08-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Portuguese"],"citation":null,"memoryUsageMb":405.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cnmoro/AllTripletsMsMarco-PTBR","adaptedFrom":"nomic-ai/nomic-embed-text-v2-moe","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.106,"embeddingDim":384,"maxTokens":null,"meanTask":0.45517559786160994,"meanTaskType":0.3868526734224285,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.015846,"MultilabelClassification":0.12928798260869567,"Classification":0.5059153451540024,"Retrieval":0.38538856374267594,"Reranking":0.45944961805555556,"STS":0.5995260280934342,"Clustering":0.32931885360768676,"PairClassification":0.7163530508658009,"BitextMining":0.37228061867400497},"scoresByTask":{"SemRel24STS":0.5691119166666666,"FinParaSTS":0.113625,"PolEmo2.0-OUT":0.317814,"JSICK":0.792777,"SwednClusteringP2P":0.2452445,"MalteseNewsClassification":0.048063,"CzechProductReviewSentimentClassification":0.460059,"STS13":0.69157,"IndicCrosslingualSTS":0.15392841666666665,"SprintDuplicateQuestions":0.86299,"WikipediaRerankingMultilingual":0.797156875,"EstonianValenceClassification":0.316137,"STS15":0.779589,"MLQARetrieval":0.3277848979591837,"HALClusteringS2S.v2":0.071231,"PoemSentimentClassification":0.3682875,"BrazilianToxicTweetsClassification":0.187842,"StatcanDialogueDatasetRetrieval":0.02499,"STS17":0.5762867272727273,"NordicLangClassification":0.491833,"ArXivHierarchicalClusteringP2P":0.497028,"NusaTranslationBitextMining":0.5643627272727273,"MassiveIntentClassification":0.4803718431372549,"CLSClusteringP2P.v2":0.316522,"WikipediaRetrievalMultilingual":0.6573225,"SinhalaNewsClassification":0.604834,"StackExchangeClustering.v2":0.391715,"MasakhaNEWSClassification":0.606217875,"NusaX-senti":0.5852708333333333,"CataloniaTweetClassification":0.45247525,"OpusparcusPC":0.8791314166666666,"ArmenianParaphrasePC":0.924831,"KorHateSpeechMLClassification":0.04865,"WikiClusteringP2P.v2":0.2007870714285714,"AmazonCounterfactualClassification":0.717712875,"ArXivHierarchicalClusteringS2S":0.482846,"NepaliNewsClassification":0.863672,"ArguAna":0.34729,"AILAStatutes":0.11281,"ToxicConversationsClassification":0.567236,"IndicGenBenchFloresBitextMining":0.45230120689655173,"CSFDSKMovieReviewSentimentClassification":0.235791,"SiswatiNewsClassification":0.5575,"CEDRClassification":0.334591,"TempReasonL1":0.00882,"BiorxivClusteringP2P.v2":0.290372,"NorwegianCourtsBitextMining":0.925439,"PunjabiNewsClassification":0.819745,"SpartQA":0.16957,"BUCC.v2":0.70309175,"BornholmBitextMining":0.314835,"BibleNLPBitextMining":0.02541194082125604,"SIB200ClusteringS2S":0.07581608629441625,"RTE3":0.8584547499999999,"TERRa":0.548104,"SwahiliNewsClassification":0.530469,"DBpediaClassification":0.816504,"HagridRetrieval":0.9536,"MultiHateClassification":0.5527181818181819,"WikiCitiesClustering":0.592511,"Tatoeba":0.27633366964285716,"STS14":0.677744,"KurdishSentimentClassification":0.604026,"PpcPC":0.720668,"STSBenchmark":0.699455,"MasakhaNEWSClusteringS2S":0.325286,"MIRACLRetrievalHardNegatives":0.19102611111111112,"NTREXBitextMining":0.31913415083507307,"DalajClassification":0.5,"SICK-R":0.602781,"NollySentiBitextMining":0.26258875,"SCIDOCS":0.09164,"BelebeleRetrieval":0.3296306382978723,"IsiZuluNewsClassification":0.25625,"TwitterHjerneRetrieval":0.29332,"STSB":0.7014255,"STSES":0.686161,"KorSarcasmClassification":0.543994,"WinoGrande":0.31989,"SentimentAnalysisHindi":0.468314,"RuBQReranking":0.44196,"CyrillicTurkicLangClassification":0.662012,"FilipinoShopeeReviewsClassification":0.2887695,"STS22.v2":0.5685098888888889,"RomaniBibleClustering":0.369884,"MacedonianTweetSentimentClassification":0.430729,"AfriSentiClassification":0.37405441666666667,"STS12":0.620018,"LegalBenchCorporateLobbying":0.8291,"TweetTopicSingleClassification":0.416775,"MultiEURLEXMultilabelClassification":0.02729391304347826,"T2Reranking":0.645,"GreekLegalCodeClassification":0.108057,"SlovakMovieReviewSentimentClassification":0.57749,"FaroeseSTS":0.653181,"SwissJudgementClassification":0.5323526666666667,"TwitterURLCorpus":0.800795,"TRECCOVID":0.43799,"IndicLangClassification":0.613933,"GujaratiNewsClassification":0.591351,"ItaCaseholdClassification":0.506787,"FloresBitextMining":0.13795051132521974,"Robust04InstructionRetrieval":-0.003752,"BulgarianStoreReviewSentimentClassfication":0.451099,"OdiaNewsClassification":0.568125,"TswanaNewsClassification":0.279671,"PlscClusteringP2P.v2":0.640621,"FinancialPhrasebankClassification":0.66091,"News21InstructionRetrieval":-0.016302,"StackOverflowQA":0.42174,"Core17InstructionRetrieval":-0.027484,"WebLINXCandidatesReranking":0.057520833333333334,"PAC":0.622792,"VoyageMMarcoReranking":0.37659,"MedrxivClusteringP2P.v2":0.29492,"GermanSTSBenchmark":0.706253,"AlloprofReranking":0.43847,"AlloProfClusteringS2S.v2":0.188928,"ScalaClassification":0.5005005,"indonli":0.489874,"IN22GenBitextMining":0.1926069723320158,"CovidRetrieval":0.42047,"BigPatentClustering.v2":0.28539,"PawsXPairClassification":0.4658957142857143,"NusaXBitextMining":0.3167413636363636,"NusaParagraphEmotionClassification":0.3194204,"LEMBPasskeyRetrieval":1.0,"CTKFactsNLI":0.6954595,"DiaBlaBitextMining":0.348851,"IndonesianIdClickbaitClassification":0.532299,"XNLI":0.6336801785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":137,"model":{"name":"avsolatorio/GIST-all-MiniLM-L6-v2","url":"https://huggingface.co/avsolatorio/GIST-all-MiniLM-L6-v2","zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-02-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{solatorio2024gistembed,\n title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},\n author={Aivin V. Solatorio},\n journal={arXiv preprint arXiv:2402.16829},\n year={2024},\n URL={https://arxiv.org/abs/2402.16829}\n eprint={2402.16829},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n}","memoryUsageMb":87.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","Banking77Classification","DuRetrieval","EmotionClassification","ImdbClassification","MLQARetrieval","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","NQ","NQ-NL","NQHardNegatives","ToxicConversationsClassification","TweetSentimentExtractionClassification"]},"zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.019430666666666666,"MultilabelClassification":0.15052865217391304,"Classification":0.464871080410293,"Retrieval":0.3329765280072825,"Reranking":0.4144698819444444,"Clustering":0.3833795936678526,"PairClassification":0.7130805134129763,"BitextMining":0.2274934562893964},"scoresByTask":{"SemRel24STS":0.3988513333333333,"FinParaSTS":0.14455449999999997,"PolEmo2.0-OUT":0.212348,"JSICK":0.675489,"SwednClusteringP2P":0.1789715,"MalteseNewsClassification":0.134349,"CzechProductReviewSentimentClassification":0.437793,"STS13":0.8326431569305103,"IndicCrosslingualSTS":-0.018949416666666666,"SprintDuplicateQuestions":0.9414261011689367,"WikipediaRerankingMultilingual":0.674288125,"EstonianValenceClassification":0.283374,"STS15":0.87034943318414,"MLQARetrieval":0.14784632653061225,"HALClusteringS2S.v2":0.18175,"PoemSentimentClassification":0.521584,"BrazilianToxicTweetsClassification":0.222217,"StatcanDialogueDatasetRetrieval":0.1437225,"NordicLangClassification":0.514533,"ArXivHierarchicalClusteringP2P":0.590671,"NusaTranslationBitextMining":0.5981682727272727,"MassiveIntentClassification":0.267030068627451,"CLSClusteringP2P.v2":0.140468,"WikipediaRetrievalMultilingual":0.427830625,"SinhalaNewsClassification":0.374365,"StackExchangeClustering.v2":0.542012,"MasakhaNEWSClassification":0.5852989375,"NusaX-senti":0.568375,"CataloniaTweetClassification":0.44784775,"OpusparcusPC":0.874653,"ArmenianParaphrasePC":0.881797,"KorHateSpeechMLClassification":0.035935,"WikiClusteringP2P.v2":0.24196342857142858,"AmazonCounterfactualClassification":0.65681875,"ArXivHierarchicalClusteringS2S":0.548437,"NepaliNewsClassification":0.463623,"ArguAna":0.51255,"AILAStatutes":0.30045,"ToxicConversationsClassification":0.729014,"IndicGenBenchFloresBitextMining":0.03381980172413793,"CSFDSKMovieReviewSentimentClassification":0.208252,"SiswatiNewsClassification":0.48625,"CEDRClassification":0.336344,"TempReasonL1":0.01019,"BiorxivClusteringP2P.v2":0.4112,"NorwegianCourtsBitextMining":0.915205,"PunjabiNewsClassification":0.56242,"SpartQA":0.02485,"BUCC.v2":0.12222575,"BornholmBitextMining":0.339179,"BibleNLPBitextMining":0.012592092995169083,"SIB200ClusteringS2S":0.0639505076142132,"RTE3":0.8557462499999999,"TERRa":0.446866,"SwahiliNewsClassification":0.414209,"DBpediaClassification":0.844678,"HagridRetrieval":0.98755,"MultiHateClassification":0.5440818181818181,"WikiCitiesClustering":0.789979,"Tatoeba":0.04657994642857143,"STS14":0.7861877889763109,"KurdishSentimentClassification":0.568747,"PpcPC":0.688274,"STSBenchmark":0.8440071593577094,"MasakhaNEWSClusteringS2S":0.3711830625,"MIRACLRetrievalHardNegatives":0.0779611111111111,"NTREXBitextMining":0.16563524843423802,"DalajClassification":0.496171,"SICK-R":0.7909232997136626,"NollySentiBitextMining":0.27562400000000004,"SCIDOCS":0.21438,"BelebeleRetrieval":0.2197269414893617,"IsiZuluNewsClassification":0.228059,"TwitterHjerneRetrieval":0.06127,"STSB":0.4465475,"STSES":0.676335,"KorSarcasmClassification":0.544189,"WinoGrande":0.33723,"SentimentAnalysisHindi":0.382329,"RuBQReranking":0.280985,"CyrillicTurkicLangClassification":0.594922,"FilipinoShopeeReviewsClassification":0.279761,"STS22.v2":0.43289183333333336,"RomaniBibleClustering":0.382659,"MacedonianTweetSentimentClassification":0.345566,"AfriSentiClassification":0.41010425,"STS12":0.7503945035801913,"LegalBenchCorporateLobbying":0.90447,"TweetTopicSingleClassification":0.690608,"MultiEURLEXMultilabelClassification":0.023798260869565217,"T2Reranking":0.574152,"GreekLegalCodeClassification":0.026244999999999997,"SlovakMovieReviewSentimentClassification":0.540674,"FaroeseSTS":0.661382,"SwissJudgementClassification":0.5533583333333333,"TwitterURLCorpus":0.8558148320880877,"TRECCOVID":0.51468,"IndicLangClassification":0.435196,"GujaratiNewsClassification":0.434219,"ItaCaseholdClassification":0.60724,"FloresBitextMining":0.11730650917608422,"Robust04InstructionRetrieval":-0.075504,"BulgarianStoreReviewSentimentClassfication":0.284615,"OdiaNewsClassification":0.524558,"TswanaNewsClassification":0.263244,"PlscClusteringP2P.v2":0.625621,"FinancialPhrasebankClassification":0.764355,"News21InstructionRetrieval":0.006106,"StackOverflowQA":0.81756,"Core17InstructionRetrieval":0.011106,"WebLINXCandidatesReranking":0.08777316666666667,"PAC":0.588503,"VoyageMMarcoReranking":0.250728,"MedrxivClusteringP2P.v2":0.382434,"GermanSTSBenchmark":0.6785515,"AlloprofReranking":0.618893,"AlloProfClusteringS2S.v2":0.305881,"ScalaClassification":0.50152575,"indonli":0.48636,"IN22GenBitextMining":0.047482310276679845,"CovidRetrieval":0.01131,"BigPatentClustering.v2":0.376893,"PawsXPairClassification":0.5217667142857143,"NusaXBitextMining":0.19818099999999997,"NusaParagraphEmotionClassification":0.26726079999999997,"LEMBPasskeyRetrieval":0.27999999999999997,"CTKFactsNLI":0.6987685,"DiaBlaBitextMining":0.085416,"IndonesianIdClickbaitClassification":0.536111,"XNLI":0.59241325},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":138,"model":{"name":"sentence-transformers/all-mpnet-base-v2","url":"https://huggingface.co/sentence-transformers/all-mpnet-base-v2","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":384.0,"releaseDate":"2021-08-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":418.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":384,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03078166666666667,"MultilabelClassification":0.16280513423518989,"STS":0.5760007114871076,"BitextMining":0.21193939006512783},"scoresByTask":{"SemRel24STS":0.38002157424956834,"FinParaSTS":0.09546,"PolEmo2.0-OUT":0.25,"JSICK":0.713243386066696,"SwednClusteringP2P":0.2695104040487777,"MalteseNewsClassification":0.196561,"CzechProductReviewSentimentClassification":0.43584,"STS13":0.8348493528200611,"IndicCrosslingualSTS":-0.02509331714763458,"SprintDuplicateQuestions":0.9014551416831162,"EstonianValenceClassification":0.287897,"STS15":0.8566278413019339,"MLQARetrieval":0.17141091836734693,"HALClusteringS2S.v2":0.227542,"PoemSentimentClassification":0.44296250000000004,"BrazilianToxicTweetsClassification":0.1841796875,"StatcanDialogueDatasetRetrieval":0.12846749999999998,"STS17":0.3934705809070792,"NordicLangClassification":0.5014666666666667,"ArXivHierarchicalClusteringP2P":0.6147339210179387,"NusaTranslationBitextMining":0.570558626249666,"MassiveIntentClassification":0.2664785980392157,"CLSClusteringP2P.v2":0.18287021875056197,"SinhalaNewsClassification":0.402197265625,"StackExchangeClustering.v2":0.44847209765289975,"MasakhaNEWSClassification":0.6143362778686166,"NusaX-senti":0.552625,"CataloniaTweetClassification":0.47755000000000003,"OpusparcusPC":0.8696154166666666,"ArmenianParaphrasePC":0.8752852460731781,"KorHateSpeechMLClassification":0.05262641138929799,"WikiClusteringP2P.v2":0.24381169905097413,"ArXivHierarchicalClusteringS2S":0.5645931195046712,"NepaliNewsClassification":0.537255859375,"ArguAna":0.46521,"AILAStatutes":0.21275,"ToxicConversationsClassification":0.610546875,"IndicGenBenchFloresBitextMining":0.0272646188972073,"CSFDSKMovieReviewSentimentClassification":0.205762,"SiswatiNewsClassification":0.55,"CEDRClassification":0.3597768331562168,"TempReasonL1":0.01771,"BiorxivClusteringP2P.v2":0.423103,"NorwegianCourtsBitextMining":0.898392,"PunjabiNewsClassification":0.5936305732484076,"SpartQA":0.00216,"BUCC.v2":0.13712575000000002,"BornholmBitextMining":0.274405,"BibleNLPBitextMining":0.010798839371980676,"RTE3":0.85469225,"TERRa":0.44517385148313066,"SwahiliNewsClassification":0.45986328125,"DBpediaClassification":0.897559,"HagridRetrieval":0.98707,"MultiHateClassification":0.548509090909091,"WikiCitiesClustering":0.8273708568596403,"Tatoeba":0.04399875796264953,"STS14":0.7800015498590187,"KurdishSentimentClassification":0.6127327629592351,"PpcPC":0.6690117247782232,"STSBenchmark":0.8342190973012376,"MasakhaNEWSClusteringS2S":0.39744742337702443,"MIRACLRetrievalHardNegatives":0.08667222222222222,"NTREXBitextMining":0.15186073747390397,"DalajClassification":0.503716,"SICK-R":0.8058541829408069,"NollySentiBitextMining":0.224979306952944,"SCIDOCS":0.23765,"BelebeleRetrieval":0.24418478723404255,"IsiZuluNewsClassification":0.19920212765957448,"TwitterHjerneRetrieval":0.14888,"STSB":0.4261429514076228,"STSES":0.6688846228500607,"KorSarcasmClassification":0.54091796875,"WinoGrande":0.20771,"SentimentAnalysisHindi":0.37833274929253913,"RuBQReranking":0.30960025848934286,"CyrillicTurkicLangClassification":0.59619140625,"FilipinoShopeeReviewsClassification":0.259619140625,"STS22.v2":0.4616324971078736,"RomaniBibleClustering":0.379549,"MacedonianTweetSentimentClassification":0.3508340649692713,"AfriSentiClassification":0.3726774051585469,"STS12":0.7263425649613446,"LegalBenchCorporateLobbying":0.89044,"TweetTopicSingleClassification":0.6896042528056704,"MultiEURLEXMultilabelClassification":0.02088173913043478,"T2Reranking":0.5830200976808856,"GreekLegalCodeClassification":0.029761,"SlovakMovieReviewSentimentClassification":0.5486328125,"FaroeseSTS":0.6180079991680525,"SwissJudgementClassification":0.554951787890856,"TwitterURLCorpus":0.8510833131416968,"TRECCOVID":0.51326,"IndicLangClassification":0.47108948648826343,"GujaratiNewsClassification":0.4410470409711683,"ItaCaseholdClassification":0.591855,"FloresBitextMining":0.1058491979619434,"Robust04InstructionRetrieval":-0.067069,"BulgarianStoreReviewSentimentClassfication":0.323626,"OdiaNewsClassification":0.5383216606825113,"TswanaNewsClassification":0.19486652977412733,"PlscClusteringP2P.v2":0.6562962262627878,"FinancialPhrasebankClassification":0.830256,"News21InstructionRetrieval":-0.017918,"StackOverflowQA":0.9032,"Core17InstructionRetrieval":-0.007358,"WebLINXCandidatesReranking":0.07920818868245955,"PAC":0.6209962351578338,"VoyageMMarcoReranking":0.21867630995064719,"MedrxivClusteringP2P.v2":0.39861803270863766,"GermanSTSBenchmark":0.6463464999999999,"AlloprofReranking":0.696301,"AlloProfClusteringS2S.v2":0.352044,"ScalaClassification":0.5006469726562499,"indonli":0.4854164662428644,"IN22GenBitextMining":0.04952603260667476,"CovidRetrieval":0.03696,"BigPatentClustering.v2":0.330464,"NusaXBitextMining":0.1834112033696919,"NusaParagraphEmotionClassification":0.25637606440503397,"LEMBPasskeyRetrieval":0.245,"CTKFactsNLI":0.73027,"DiaBlaBitextMining":0.077042,"IndonesianIdClickbaitClassification":0.5423236022966462,"XNLI":0.5891761910966821},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":139,"model":{"name":"mongodb/voyage-multilingual-2","url":"https://blog.voyageai.com/2024/06/10/voyage-multilingual-2-multilingual-embedding-model/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2024-06-10","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6858168992823402,"PairClassification":0.7580438030303029,"BitextMining":0.6449661360314916},"scoresByTask":{"SemRel24STS":0.648817,"FinParaSTS":0.270741,"PolEmo2.0-OUT":0.525101,"JSICK":0.75942,"SwednClusteringP2P":0.3815015,"CzechProductReviewSentimentClassification":0.55376,"STS13":0.800949,"IndicCrosslingualSTS":0.3503346666666667,"SprintDuplicateQuestions":0.810836,"WikipediaRerankingMultilingual":0.9100118125,"EstonianValenceClassification":0.404523,"STS15":0.780676,"HALClusteringS2S.v2":0.261606,"PoemSentimentClassification":0.5139104999999999,"BrazilianToxicTweetsClassification":0.221191,"STS17":0.7706250909090909,"NordicLangClassification":0.584333,"ArXivHierarchicalClusteringP2P":0.58206,"NusaTranslationBitextMining":0.6699882727272727,"MassiveIntentClassification":0.5900689411764706,"CLSClusteringP2P.v2":0.385956,"SinhalaNewsClassification":0.643506,"StackExchangeClustering.v2":0.568417,"NusaX-senti":0.6762291666666668,"CataloniaTweetClassification":0.52809575,"OpusparcusPC":0.9498580833333333,"ArmenianParaphrasePC":0.947943,"KorHateSpeechMLClassification":0.097104,"WikiClusteringP2P.v2":0.2781177857142857,"AmazonCounterfactualClassification":0.711995,"ArXivHierarchicalClusteringS2S":0.560748,"NepaliNewsClassification":0.945312,"ArguAna":0.61821,"AILAStatutes":0.44997,"ToxicConversationsClassification":0.618848,"IndicGenBenchFloresBitextMining":0.8231688706896552,"CSFDSKMovieReviewSentimentClassification":0.399268,"SiswatiNewsClassification":0.6075,"CEDRClassification":0.391498,"TempReasonL1":0.01365,"BiorxivClusteringP2P.v2":0.402445,"NorwegianCourtsBitextMining":0.924708,"SpartQA":0.1019,"BUCC.v2":0.98381525,"BornholmBitextMining":0.426862,"BibleNLPBitextMining":0.10305480495169082,"SIB200ClusteringS2S":0.3010646852791878,"RTE3":0.869414,"TERRa":0.514821,"SwahiliNewsClassification":0.651807,"DBpediaClassification":0.926025,"HagridRetrieval":0.98896,"MultiHateClassification":0.6319363636363636,"Tatoeba":0.6784263839285715,"STS14":0.719759,"KurdishSentimentClassification":0.70302,"PpcPC":0.894525,"STSBenchmark":0.757937,"MasakhaNEWSClusteringS2S":0.4213543125,"NTREXBitextMining":0.7413222854906054,"DalajClassification":0.499212,"SICK-R":0.789737,"NollySentiBitextMining":0.38596,"SCIDOCS":0.22447,"IsiZuluNewsClassification":0.259973,"TwitterHjerneRetrieval":0.88652,"STSB":0.7005966864972416,"STSES":0.766944,"KorSarcasmClassification":0.570068,"WinoGrande":0.3909,"SentimentAnalysisHindi":0.575662,"CyrillicTurkicLangClassification":0.453662,"FilipinoShopeeReviewsClassification":0.369873,"STS22.v2":0.6903339444444444,"RomaniBibleClustering":0.420686,"MacedonianTweetSentimentClassification":0.534328,"AfriSentiClassification":0.39939791666666663,"STS12":0.673025,"LegalBenchCorporateLobbying":0.95924,"TweetTopicSingleClassification":0.681512,"SlovakMovieReviewSentimentClassification":0.782812,"FaroeseSTS":0.744153,"SwissJudgementClassification":0.5782173333333334,"TwitterURLCorpus":0.843722,"TRECCOVID":0.80106,"IndicLangClassification":0.387281,"GujaratiNewsClassification":0.821624,"FloresBitextMining":0.5587205448903699,"BulgarianStoreReviewSentimentClassfication":0.611538,"OdiaNewsClassification":0.686691,"TswanaNewsClassification":0.394251,"PlscClusteringP2P.v2":0.705436,"FinancialPhrasebankClassification":0.797261,"PAC":0.705937,"VoyageMMarcoReranking":0.623511,"MedrxivClusteringP2P.v2":0.356732,"GermanSTSBenchmark":0.7490220000000001,"AlloProfClusteringS2S.v2":0.514632,"ScalaClassification":0.51064475,"indonli":0.509235,"IN22GenBitextMining":0.7238081739130435,"PawsXPairClassification":0.5685200714285714,"NusaXBitextMining":0.6273161818181818,"LEMBPasskeyRetrieval":0.97,"CTKFactsNLI":0.7819995,"DiaBlaBitextMining":0.737409,"IndonesianIdClickbaitClassification":0.632273,"XNLI":0.6476081785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":140,"model":{"name":"sergeyzh/LaBSE-ru-turbo","url":"https://huggingface.co/sergeyzh/LaBSE-ru-turbo","zeroShotPct":100,"activeParamsB":0.087,"totalParamsB":0.129,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":490.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"cointegrated/LaBSE-en-ru","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.087,"totalParamsB":0.129,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03524,"MultilabelClassification":0.17904280941643952,"Classification":0.46780627750253906,"Retrieval":0.28512700062954655,"Reranking":0.42814723148013484,"STS":0.5205964139835859},"scoresByTask":{"SemRel24STS":0.27161341666666666,"FinParaSTS":0.0708945,"PolEmo2.0-OUT":0.270243,"JSICK":0.407847,"SwednClusteringP2P":0.1693495,"MalteseNewsClassification":0.195037,"CzechProductReviewSentimentClassification":0.443945,"STS13":0.789802,"IndicCrosslingualSTS":-0.045953666666666663,"SprintDuplicateQuestions":0.943927,"WikipediaRerankingMultilingual":0.6853684375,"EstonianValenceClassification":0.316381,"STS15":0.856228,"MLQARetrieval":0.19209744897959183,"HALClusteringS2S.v2":0.153501,"PoemSentimentClassification":0.520096,"BrazilianToxicTweetsClassification":0.179004,"StatcanDialogueDatasetRetrieval":0.09840499999999999,"STS17":0.30664281818181816,"NordicLangClassification":0.465167,"ArXivHierarchicalClusteringP2P":0.530679,"NusaTranslationBitextMining":0.7504174545454546,"MassiveIntentClassification":0.22427845098039215,"CLSClusteringP2P.v2":0.098188,"WikipediaRetrievalMultilingual":0.500309375,"SinhalaNewsClassification":0.363184,"StackExchangeClustering.v2":0.45374,"MasakhaNEWSClassification":0.5906924375,"NusaX-senti":0.5811666666666667,"CataloniaTweetClassification":0.44886975,"OpusparcusPC":0.9000046666666667,"ArmenianParaphrasePC":0.847292,"KorHateSpeechMLClassification":0.044526,"WikiClusteringP2P.v2":0.2281997142857143,"AmazonCounterfactualClassification":0.64059425,"ArXivHierarchicalClusteringS2S":0.493219,"NepaliNewsClassification":0.523438,"ArguAna":0.46568,"AILAStatutes":0.15897,"ToxicConversationsClassification":0.642773,"IndicGenBenchFloresBitextMining":0.10454261206896552,"CSFDSKMovieReviewSentimentClassification":0.217773,"SiswatiNewsClassification":0.4675,"CEDRClassification":0.45106269925611053,"TempReasonL1":0.0106,"BiorxivClusteringP2P.v2":0.330822,"NorwegianCourtsBitextMining":0.903801,"PunjabiNewsClassification":0.594904,"SpartQA":0.03895,"BornholmBitextMining":0.375933,"RTE3":0.85611,"TERRa":0.5781343526166172,"SwahiliNewsClassification":0.466602,"DBpediaClassification":0.876514,"HagridRetrieval":0.98593,"MultiHateClassification":0.5669454545454545,"WikiCitiesClustering":0.658583,"STS14":0.766976,"KurdishSentimentClassification":0.607801,"PpcPC":0.716608,"STSBenchmark":0.818233,"MasakhaNEWSClusteringS2S":0.344092125,"MIRACLRetrievalHardNegatives":0.13264777777777778,"DalajClassification":0.496959,"SICK-R":0.755673,"NollySentiBitextMining":0.35971000000000003,"SCIDOCS":0.11703,"BelebeleRetrieval":0.2938164095744681,"IsiZuluNewsClassification":0.214096,"TwitterHjerneRetrieval":0.03552,"STSB":0.10776850000000002,"STSES":0.732144,"KorSarcasmClassification":0.529639,"WinoGrande":0.1792,"SentimentAnalysisHindi":0.358438,"RuBQReranking":0.6865102847141421,"CyrillicTurkicLangClassification":0.52666015625,"FilipinoShopeeReviewsClassification":0.2905765,"STS22.v2":0.5291715555555556,"RomaniBibleClustering":0.411021,"MacedonianTweetSentimentClassification":0.477524,"AfriSentiClassification":0.36055366666666666,"STS12":0.724468,"LegalBenchCorporateLobbying":0.86413,"TweetTopicSingleClassification":0.673066,"MultiEURLEXMultilabelClassification":0.025584347826086956,"T2Reranking":0.524206,"GreekLegalCodeClassification":0.0215085,"SlovakMovieReviewSentimentClassification":0.546826,"FaroeseSTS":0.568041,"SwissJudgementClassification":0.548094,"TwitterURLCorpus":0.841816,"TRECCOVID":0.30522,"IndicLangClassification":0.14164,"GujaratiNewsClassification":0.423748,"ItaCaseholdClassification":0.523529,"Robust04InstructionRetrieval":-0.103975,"BulgarianStoreReviewSentimentClassfication":0.475824,"OdiaNewsClassification":0.613451,"TswanaNewsClassification":0.228953,"PlscClusteringP2P.v2":0.655534,"FinancialPhrasebankClassification":0.808127,"News21InstructionRetrieval":-0.004653,"StackOverflowQA":0.53064,"Core17InstructionRetrieval":0.002908,"WebLINXCandidatesReranking":0.09940966666666667,"PAC":0.694063,"VoyageMMarcoReranking":0.157359,"MedrxivClusteringP2P.v2":0.333698,"GermanSTSBenchmark":0.6699935,"AlloprofReranking":0.41603,"AlloProfClusteringS2S.v2":0.204444,"ScalaClassification":0.501355,"indonli":0.478176,"IN22GenBitextMining":0.09881351581027668,"CovidRetrieval":0.00064,"BigPatentClustering.v2":0.376642,"PawsXPairClassification":0.5177753571428572,"NusaXBitextMining":0.2415201818181818,"NusaParagraphEmotionClassification":0.2588881,"LEMBPasskeyRetrieval":0.2225,"CTKFactsNLI":0.7109114999999999,"DiaBlaBitextMining":0.424413,"IndonesianIdClickbaitClassification":0.573283},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":141,"model":{"name":"Snowflake/snowflake-arctic-embed-m","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-m","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-04-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":415.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-base-unsupervised","supersededBy":"Snowflake/snowflake-arctic-embed-m-v1.5","extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02344033333333333,"MultilabelClassification":0.1485458695652174,"Classification":0.4690311707654521,"Retrieval":0.39325045198861663,"Reranking":0.4276180138888889,"Clustering":0.38374669757726204,"PairClassification":0.7087700772215568,"BitextMining":0.22037401139063936},"scoresByTask":{"SemRel24STS":0.3374885,"FinParaSTS":0.16456199999999999,"PolEmo2.0-OUT":0.294939,"JSICK":0.614645,"SwednClusteringP2P":0.2104285,"MalteseNewsClassification":0.181889,"CzechProductReviewSentimentClassification":0.429736,"STS13":0.7911530011173249,"IndicCrosslingualSTS":0.11099641666666667,"SprintDuplicateQuestions":0.9521196473745839,"WikipediaRerankingMultilingual":0.71493175,"EstonianValenceClassification":0.303423,"STS15":0.7992003940566668,"MLQARetrieval":0.22398051020408163,"HALClusteringS2S.v2":0.232592,"PoemSentimentClassification":0.4641165,"BrazilianToxicTweetsClassification":0.195264,"StatcanDialogueDatasetRetrieval":0.2113525,"NordicLangClassification":0.511933,"ArXivHierarchicalClusteringP2P":0.574973,"NusaTranslationBitextMining":0.6541825454545455,"MassiveIntentClassification":0.24298522549019608,"CLSClusteringP2P.v2":0.151226,"WikipediaRetrievalMultilingual":0.5289406249999999,"SinhalaNewsClassification":0.385889,"StackExchangeClustering.v2":0.571668,"MasakhaNEWSClassification":0.603998375,"NusaX-senti":0.5633333333333334,"CataloniaTweetClassification":0.470732,"OpusparcusPC":0.8468048333333332,"ArmenianParaphrasePC":0.872212,"KorHateSpeechMLClassification":0.035395,"WikiClusteringP2P.v2":0.22668085714285713,"AmazonCounterfactualClassification":0.58817125,"ArXivHierarchicalClusteringS2S":0.575568,"NepaliNewsClassification":0.471826,"ArguAna":0.56436,"AILAStatutes":0.29624,"ToxicConversationsClassification":0.649346,"IndicGenBenchFloresBitextMining":0.017628931034482757,"CSFDSKMovieReviewSentimentClassification":0.214062,"SiswatiNewsClassification":0.43125,"CEDRClassification":0.304357,"TempReasonL1":0.0117,"BiorxivClusteringP2P.v2":0.383746,"NorwegianCourtsBitextMining":0.892544,"PunjabiNewsClassification":0.645223,"SpartQA":0.00358,"BUCC.v2":0.12051974999999998,"BornholmBitextMining":0.286882,"BibleNLPBitextMining":0.007177910628019324,"SIB200ClusteringS2S":0.07249478172588833,"RTE3":0.8645477500000001,"TERRa":0.463325,"SwahiliNewsClassification":0.489453,"DBpediaClassification":0.875146,"HagridRetrieval":0.98836,"MultiHateClassification":0.557590909090909,"WikiCitiesClustering":0.8530624598674467,"Tatoeba":0.039731205357142856,"STS14":0.6850538405089605,"KurdishSentimentClassification":0.609512,"PpcPC":0.666435,"STSBenchmark":0.740981396086974,"MasakhaNEWSClusteringS2S":0.38141356249999997,"MIRACLRetrievalHardNegatives":0.1616738888888889,"NTREXBitextMining":0.16396138048016703,"DalajClassification":0.499775,"SICK-R":0.6912484963763645,"NollySentiBitextMining":0.20965175,"SCIDOCS":0.21097,"BelebeleRetrieval":0.3082306117021277,"IsiZuluNewsClassification":0.231915,"TwitterHjerneRetrieval":0.0805,"STSB":0.320492,"STSES":0.600015,"KorSarcasmClassification":0.52915,"WinoGrande":0.46056,"SentimentAnalysisHindi":0.363022,"RuBQReranking":0.272547,"CyrillicTurkicLangClassification":0.549609,"FilipinoShopeeReviewsClassification":0.273169,"STS22.v2":0.3531722222222222,"RomaniBibleClustering":0.353601,"MacedonianTweetSentimentClassification":0.333187,"AfriSentiClassification":0.39777025,"STS12":0.6696821894433991,"LegalBenchCorporateLobbying":0.93715,"TweetTopicSingleClassification":0.681158,"MultiEURLEXMultilabelClassification":0.025824347826086957,"T2Reranking":0.583483,"GreekLegalCodeClassification":0.027905,"SlovakMovieReviewSentimentClassification":0.549561,"FaroeseSTS":0.627024,"SwissJudgementClassification":0.5336029999999999,"TwitterURLCorpus":0.8471928330149229,"TRECCOVID":0.7964600000000001,"IndicLangClassification":0.457864,"GujaratiNewsClassification":0.472838,"ItaCaseholdClassification":0.665158,"FloresBitextMining":0.10792489053897422,"Robust04InstructionRetrieval":-0.076344,"BulgarianStoreReviewSentimentClassfication":0.323626,"OdiaNewsClassification":0.579584,"TswanaNewsClassification":0.250924,"PlscClusteringP2P.v2":0.642484,"FinancialPhrasebankClassification":0.670716,"News21InstructionRetrieval":-0.001105,"StackOverflowQA":0.90591,"Core17InstructionRetrieval":0.007128,"WebLINXCandidatesReranking":0.07364433333333334,"PAC":0.647292,"VoyageMMarcoReranking":0.265621,"MedrxivClusteringP2P.v2":0.35286,"GermanSTSBenchmark":0.5197620000000001,"AlloprofReranking":0.655481,"AlloProfClusteringS2S.v2":0.31638,"ScalaClassification":0.5022340000000001,"indonli":0.487497,"IN22GenBitextMining":0.02925251185770751,"CovidRetrieval":0.00854,"BigPatentClustering.v2":0.240769,"PawsXPairClassification":0.526015,"NusaXBitextMining":0.22988827272727272,"NusaParagraphEmotionClassification":0.26656050000000003,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7084349999999999,"DiaBlaBitextMining":0.105517,"IndonesianIdClickbaitClassification":0.559054,"XNLI":0.5618867857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":142,"model":{"name":"Snowflake/snowflake-arctic-embed-s","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-s","zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":127.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-small-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03086533333333333,"MultilabelClassification":0.1483516695652174,"Classification":0.46325702432688726,"Retrieval":0.39835934388619515,"Reranking":0.4002851284722222,"Clustering":0.36673124282172886,"PairClassification":0.7153269050064407,"BitextMining":0.22776672053796287},"scoresByTask":{"SemRel24STS":0.34998191666666667,"FinParaSTS":0.106797,"PolEmo2.0-OUT":0.230364,"JSICK":0.525446,"SwednClusteringP2P":0.1919655,"MalteseNewsClassification":0.148977,"CzechProductReviewSentimentClassification":0.434424,"STS13":0.7961879435615303,"IndicCrosslingualSTS":0.09979166666666667,"SprintDuplicateQuestions":0.952776439040401,"WikipediaRerankingMultilingual":0.6788904375,"EstonianValenceClassification":0.289364,"STS15":0.8464256921939338,"MLQARetrieval":0.19822326530612244,"HALClusteringS2S.v2":0.204456,"PoemSentimentClassification":0.4593775,"BrazilianToxicTweetsClassification":0.224219,"StatcanDialogueDatasetRetrieval":0.22046500000000002,"NordicLangClassification":0.5128,"ArXivHierarchicalClusteringP2P":0.553871,"NusaTranslationBitextMining":0.604496090909091,"MassiveIntentClassification":0.2607187843137255,"CLSClusteringP2P.v2":0.116098,"WikipediaRetrievalMultilingual":0.513020625,"SinhalaNewsClassification":0.401904,"StackExchangeClustering.v2":0.52803,"MasakhaNEWSClassification":0.6080844375,"NusaX-senti":0.5561875000000001,"CataloniaTweetClassification":0.4565455,"OpusparcusPC":0.8667810833333333,"ArmenianParaphrasePC":0.87451,"KorHateSpeechMLClassification":0.036475,"WikiClusteringP2P.v2":0.23187899999999997,"AmazonCounterfactualClassification":0.59436225,"ArXivHierarchicalClusteringS2S":0.527564,"NepaliNewsClassification":0.474561,"ArguAna":0.56874,"AILAStatutes":0.27328,"ToxicConversationsClassification":0.6196360000000001,"IndicGenBenchFloresBitextMining":0.024862525862068968,"CSFDSKMovieReviewSentimentClassification":0.219482,"SiswatiNewsClassification":0.4775,"CEDRClassification":0.308183,"TempReasonL1":0.01693,"BiorxivClusteringP2P.v2":0.383143,"NorwegianCourtsBitextMining":0.88962,"PunjabiNewsClassification":0.656688,"SpartQA":0.02786,"BUCC.v2":0.1312865,"BornholmBitextMining":0.253009,"BibleNLPBitextMining":0.00935858997584541,"SIB200ClusteringS2S":0.07690845177664975,"RTE3":0.8588692499999999,"TERRa":0.481481,"SwahiliNewsClassification":0.511377,"DBpediaClassification":0.868555,"HagridRetrieval":0.98901,"MultiHateClassification":0.5404090909090908,"WikiCitiesClustering":0.7958576208710118,"Tatoeba":0.04033479464285714,"STS14":0.7557574519760183,"KurdishSentimentClassification":0.573226,"PpcPC":0.691707,"STSBenchmark":0.8118789220331483,"MasakhaNEWSClusteringS2S":0.3598603125,"MIRACLRetrievalHardNegatives":0.16855666666666666,"NTREXBitextMining":0.17649336273486432,"DalajClassification":0.496847,"SICK-R":0.6966114097154584,"NollySentiBitextMining":0.27792924999999996,"SCIDOCS":0.1942,"BelebeleRetrieval":0.2813126329787234,"IsiZuluNewsClassification":0.242021,"TwitterHjerneRetrieval":0.17928,"STSB":0.256734,"STSES":0.711975,"KorSarcasmClassification":0.52417,"WinoGrande":0.57422,"SentimentAnalysisHindi":0.378155,"RuBQReranking":0.21183,"CyrillicTurkicLangClassification":0.40542,"FilipinoShopeeReviewsClassification":0.261035,"STS22.v2":0.4906042222222222,"RomaniBibleClustering":0.377849,"MacedonianTweetSentimentClassification":0.288411,"AfriSentiClassification":0.390077,"STS12":0.687854092887031,"LegalBenchCorporateLobbying":0.93463,"TweetTopicSingleClassification":0.655877,"MultiEURLEXMultilabelClassification":0.023904347826086955,"T2Reranking":0.562731,"GreekLegalCodeClassification":0.023315500000000003,"SlovakMovieReviewSentimentClassification":0.56084,"FaroeseSTS":0.655419,"SwissJudgementClassification":0.5404223333333333,"TwitterURLCorpus":0.8515414684113987,"TRECCOVID":0.81388,"IndicLangClassification":0.402147,"GujaratiNewsClassification":0.451214,"ItaCaseholdClassification":0.642081,"FloresBitextMining":0.11327037539843524,"Robust04InstructionRetrieval":-0.073747,"BulgarianStoreReviewSentimentClassfication":0.330769,"OdiaNewsClassification":0.592588,"TswanaNewsClassification":0.300411,"PlscClusteringP2P.v2":0.627022,"FinancialPhrasebankClassification":0.715194,"News21InstructionRetrieval":-0.006078,"StackOverflowQA":0.83047,"Core17InstructionRetrieval":-0.012771,"WebLINXCandidatesReranking":0.05703433333333333,"PAC":0.628468,"VoyageMMarcoReranking":0.217167,"MedrxivClusteringP2P.v2":0.344885,"GermanSTSBenchmark":0.6333770000000001,"AlloprofReranking":0.674058,"AlloProfClusteringS2S.v2":0.297989,"ScalaClassification":0.50126975,"indonli":0.482111,"IN22GenBitextMining":0.036813968379446636,"CovidRetrieval":0.00139,"BigPatentClustering.v2":0.250322,"PawsXPairClassification":0.5292359285714285,"NusaXBitextMining":0.28205390909090905,"NusaParagraphEmotionClassification":0.2816964,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7207129999999999,"DiaBlaBitextMining":0.121439,"IndonesianIdClickbaitClassification":0.562057,"XNLI":0.5588697857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":143,"model":{"name":"sentence-transformers/all-MiniLM-L12-v2","url":"https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2","zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":256.0,"releaseDate":"2021-08-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":127.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":256,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.007522999999999999,"MultilabelClassification":0.14586414342073492,"STS":0.5720260319257935,"BitextMining":0.22907484964811894},"scoresByTask":{"SemRel24STS":0.3793372304999087,"FinParaSTS":0.1071165,"PolEmo2.0-OUT":0.229757,"JSICK":0.7176946032220102,"SwednClusteringP2P":0.10134585451356196,"MalteseNewsClassification":0.134306,"CzechProductReviewSentimentClassification":0.443555,"STS13":0.8213397006371551,"IndicCrosslingualSTS":-0.053371164426901756,"SprintDuplicateQuestions":0.9257864755679249,"EstonianValenceClassification":0.281296,"STS15":0.8557753868157322,"MLQARetrieval":0.1621819387755102,"HALClusteringS2S.v2":0.207295,"PoemSentimentClassification":0.4631275,"BrazilianToxicTweetsClassification":0.193310546875,"StatcanDialogueDatasetRetrieval":0.166985,"STS17":0.36281154442712754,"NordicLangClassification":0.5417000000000001,"ArXivHierarchicalClusteringP2P":0.5744453030136721,"NusaTranslationBitextMining":0.593399418457421,"MassiveIntentClassification":0.2888421568627451,"CLSClusteringP2P.v2":0.15389413065200236,"SinhalaNewsClassification":0.385546875,"StackExchangeClustering.v2":0.4473898244327101,"MasakhaNEWSClassification":0.5457891446613515,"NusaX-senti":0.5488958333333334,"CataloniaTweetClassification":0.4574875,"OpusparcusPC":0.8772190833333333,"ArmenianParaphrasePC":0.886388718567801,"KorHateSpeechMLClassification":0.0459499263622975,"WikiClusteringP2P.v2":0.22897329616499337,"ArXivHierarchicalClusteringS2S":0.5506172809210715,"NepaliNewsClassification":0.51396484375,"ArguAna":0.47128,"AILAStatutes":0.20714,"ToxicConversationsClassification":0.6333984375,"IndicGenBenchFloresBitextMining":0.03146418348877897,"CSFDSKMovieReviewSentimentClassification":0.207666,"SiswatiNewsClassification":0.5462499999999999,"CEDRClassification":0.3385759829968119,"TempReasonL1":0.01659,"BiorxivClusteringP2P.v2":0.399047,"NorwegianCourtsBitextMining":0.918129,"PunjabiNewsClassification":0.5668789808917197,"SpartQA":0.02673,"BUCC.v2":0.15072275000000002,"BornholmBitextMining":0.352492,"BibleNLPBitextMining":0.013890028381642511,"RTE3":0.86114375,"TERRa":0.4639724532238829,"SwahiliNewsClassification":0.394775390625,"DBpediaClassification":0.871533,"HagridRetrieval":0.98397,"MultiHateClassification":0.5401181818181818,"WikiCitiesClustering":0.7157611732137286,"Tatoeba":0.050967994272273096,"STS14":0.7673415930715883,"KurdishSentimentClassification":0.585556114745848,"PpcPC":0.7185877247673487,"STSBenchmark":0.8308944078573145,"MasakhaNEWSClusteringS2S":0.38372847034563606,"MIRACLRetrievalHardNegatives":0.1132261111111111,"NTREXBitextMining":0.15163865240083507,"DalajClassification":0.501802,"SICK-R":0.7931807926686743,"NollySentiBitextMining":0.25471548170852004,"SCIDOCS":0.21818,"BelebeleRetrieval":0.23222579787234043,"IsiZuluNewsClassification":0.2466755319148936,"TwitterHjerneRetrieval":0.06623,"STSB":0.41901769495891694,"STSES":0.7266756261960431,"KorSarcasmClassification":0.543701171875,"WinoGrande":0.27163,"SentimentAnalysisHindi":0.3935006316131385,"RuBQReranking":0.38513917478964665,"CyrillicTurkicLangClassification":0.661474609375,"FilipinoShopeeReviewsClassification":0.255322265625,"STS22.v2":0.3672962049445949,"RomaniBibleClustering":0.363314,"MacedonianTweetSentimentClassification":0.3537313432835821,"AfriSentiClassification":0.37288349544654714,"STS12":0.7308329046069596,"LegalBenchCorporateLobbying":0.88691,"TweetTopicSingleClassification":0.6764914353219138,"MultiEURLEXMultilabelClassification":0.01717826086956522,"T2Reranking":0.6032290211350791,"GreekLegalCodeClassification":0.0416015,"SlovakMovieReviewSentimentClassification":0.54892578125,"FaroeseSTS":0.6608584853335723,"SwissJudgementClassification":0.5487017124651534,"TwitterURLCorpus":0.8477318636442885,"TRECCOVID":0.50816,"IndicLangClassification":0.48105398119534487,"GujaratiNewsClassification":0.4163884673748104,"ItaCaseholdClassification":0.671946,"FloresBitextMining":0.10709222464503043,"Robust04InstructionRetrieval":-0.035941,"BulgarianStoreReviewSentimentClassfication":0.324725,"OdiaNewsClassification":0.5301378917227442,"TswanaNewsClassification":0.23634496919917863,"PlscClusteringP2P.v2":0.6373243652202024,"FinancialPhrasebankClassification":0.774956,"News21InstructionRetrieval":-0.003513,"StackOverflowQA":0.80627,"Core17InstructionRetrieval":0.016885,"WebLINXCandidatesReranking":0.048801455204569355,"PAC":0.5953373877787431,"VoyageMMarcoReranking":0.2600752277852728,"MedrxivClusteringP2P.v2":0.37820451385464854,"GermanSTSBenchmark":0.6656150000000001,"AlloprofReranking":0.670137,"AlloProfClusteringS2S.v2":0.319765,"ScalaClassification":0.50126953125,"indonli":0.48428619203097667,"IN22GenBitextMining":0.046210450266686645,"CovidRetrieval":0.10788,"BigPatentClustering.v2":0.275572,"NusaXBitextMining":0.21028633984255085,"NusaParagraphEmotionClassification":0.24730842000953243,"LEMBPasskeyRetrieval":0.1475,"CTKFactsNLI":0.713893,"DiaBlaBitextMining":0.09696452196180766,"IndonesianIdClickbaitClassification":0.5505951335688979,"XNLI":0.59011165660696},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":144,"model":{"name":"Snowflake/snowflake-arctic-embed-m-v1.5","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-07-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":415.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"Snowflake/snowflake-arctic-embed-m-v2.0","extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":0.4199177022462296,"meanTaskType":0.3555927879952565,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.034164,"MultilabelClassification":0.15783764347826088,"Classification":0.4698579507073125,"Retrieval":0.386930740564843,"Reranking":0.42373255555555556,"STS":0.515073525094697,"Clustering":0.3752554658900711,"PairClassification":0.7046636807359307,"BitextMining":0.20114752993063836},"scoresByTask":{"SemRel24STS":0.34842616666666665,"FinParaSTS":0.158339,"PolEmo2.0-OUT":0.275101,"JSICK":0.604288,"SwednClusteringP2P":0.180155,"MalteseNewsClassification":0.165781,"CzechProductReviewSentimentClassification":0.437598,"STS13":0.736707,"IndicCrosslingualSTS":0.10540041666666666,"SprintDuplicateQuestions":0.945158,"WikipediaRerankingMultilingual":0.7055245,"EstonianValenceClassification":0.287653,"STS15":0.767534,"MLQARetrieval":0.2159964285714286,"HALClusteringS2S.v2":0.204034,"PoemSentimentClassification":0.4554625,"BrazilianToxicTweetsClassification":0.241748,"StatcanDialogueDatasetRetrieval":0.231155,"STS17":0.43064081818181815,"NordicLangClassification":0.481133,"ArXivHierarchicalClusteringP2P":0.563888,"NusaTranslationBitextMining":0.6156090909090909,"MassiveIntentClassification":0.2497962254901961,"CLSClusteringP2P.v2":0.136886,"WikipediaRetrievalMultilingual":0.495569375,"SinhalaNewsClassification":0.3625,"StackExchangeClustering.v2":0.576073,"MasakhaNEWSClassification":0.6023708125,"NusaX-senti":0.5653958333333333,"CataloniaTweetClassification":0.4780975,"OpusparcusPC":0.8331714166666666,"ArmenianParaphrasePC":0.875481,"KorHateSpeechMLClassification":0.046294,"WikiClusteringP2P.v2":0.2297485,"AmazonCounterfactualClassification":0.608146,"ArXivHierarchicalClusteringS2S":0.532505,"NepaliNewsClassification":0.487061,"ArguAna":0.5953,"AILAStatutes":0.28101,"ToxicConversationsClassification":0.632959,"IndicGenBenchFloresBitextMining":0.017530017241379307,"CSFDSKMovieReviewSentimentClassification":0.212891,"SiswatiNewsClassification":0.56375,"CEDRClassification":0.30882,"TempReasonL1":0.01235,"BiorxivClusteringP2P.v2":0.370338,"NorwegianCourtsBitextMining":0.854386,"PunjabiNewsClassification":0.641401,"SpartQA":0.00213,"BUCC.v2":0.13841175,"BornholmBitextMining":0.223611,"BibleNLPBitextMining":0.0075659227053140096,"SIB200ClusteringS2S":0.0637703502538071,"RTE3":0.8618675,"TERRa":0.480953,"SwahiliNewsClassification":0.460205,"DBpediaClassification":0.881152,"HagridRetrieval":0.9893,"MultiHateClassification":0.545290909090909,"WikiCitiesClustering":0.7892,"Tatoeba":0.02808969642857143,"STS14":0.652493,"KurdishSentimentClassification":0.572421,"PpcPC":0.651137,"STSBenchmark":0.694352,"MasakhaNEWSClusteringS2S":0.40051975,"MIRACLRetrievalHardNegatives":0.16080499999999998,"NTREXBitextMining":0.13954276983298539,"DalajClassification":0.504279,"SICK-R":0.700345,"NollySentiBitextMining":0.19848525000000003,"SCIDOCS":0.2149,"BelebeleRetrieval":0.2849975265957447,"IsiZuluNewsClassification":0.240027,"TwitterHjerneRetrieval":0.04716,"STSB":0.306708,"STSES":0.655138,"KorSarcasmClassification":0.554395,"WinoGrande":0.30717,"SentimentAnalysisHindi":0.375616,"RuBQReranking":0.28375,"CyrillicTurkicLangClassification":0.488428,"FilipinoShopeeReviewsClassification":0.2827145,"STS22.v2":0.41149100000000005,"RomaniBibleClustering":0.354054,"MacedonianTweetSentimentClassification":0.324583,"AfriSentiClassification":0.40549825,"STS12":0.649088,"LegalBenchCorporateLobbying":0.94286,"TweetTopicSingleClassification":0.680921,"MultiEURLEXMultilabelClassification":0.026545217391304346,"T2Reranking":0.568582,"GreekLegalCodeClassification":0.031592,"SlovakMovieReviewSentimentClassification":0.55415,"FaroeseSTS":0.575452,"SwissJudgementClassification":0.531,"TwitterURLCorpus":0.821362,"TRECCOVID":0.84634,"IndicLangClassification":0.47918,"GujaratiNewsClassification":0.486571,"ItaCaseholdClassification":0.670136,"FloresBitextMining":0.09253518842364532,"Robust04InstructionRetrieval":-0.083131,"BulgarianStoreReviewSentimentClassfication":0.274725,"OdiaNewsClassification":0.575439,"TswanaNewsClassification":0.263039,"PlscClusteringP2P.v2":0.636927,"FinancialPhrasebankClassification":0.720186,"News21InstructionRetrieval":-0.000033,"StackOverflowQA":0.89617,"Core17InstructionRetrieval":-0.019328,"WebLINXCandidatesReranking":0.09390483333333333,"PAC":0.628816,"VoyageMMarcoReranking":0.262914,"MedrxivClusteringP2P.v2":0.3541598539873297,"GermanSTSBenchmark":0.444774,"AlloprofReranking":0.62772,"AlloProfClusteringS2S.v2":0.321849,"ScalaClassification":0.50024425,"indonli":0.489265,"IN22GenBitextMining":0.02836938537549407,"CovidRetrieval":0.08654,"BigPatentClustering.v2":0.28998,"PawsXPairClassification":0.5253155714285714,"NusaXBitextMining":0.2051878181818182,"NusaParagraphEmotionClassification":0.2776151,"LEMBPasskeyRetrieval":0.355,"CTKFactsNLI":0.7096055,"DiaBlaBitextMining":0.065594,"IndonesianIdClickbaitClassification":0.554352,"XNLI":0.5579845},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":145,"model":{"name":"Mihaiii/gte-micro-v4","url":"https://huggingface.co/Mihaiii/gte-micro-v4","zeroShotPct":-1,"activeParamsB":0.007,"totalParamsB":0.019,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":73.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.007,"totalParamsB":0.019,"embeddingDim":384,"maxTokens":512,"meanTask":0.41533002200320496,"meanTaskType":0.3466072549933845,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03834866666666666,"MultilabelClassification":0.1469103304347826,"Classification":0.47970943110050573,"Retrieval":0.3054350761754663,"Reranking":0.37483196180555556,"STS":0.5700829914772727,"Clustering":0.35889933769092186,"PairClassification":0.7173007718763692,"BitextMining":0.20464406104625338},"scoresByTask":{"SemRel24STS":0.3783366666666667,"FinParaSTS":0.07523350000000001,"PolEmo2.0-OUT":0.296154,"JSICK":0.634906,"SwednClusteringP2P":0.1609645,"MalteseNewsClassification":0.181019,"CzechProductReviewSentimentClassification":0.439355,"STS13":0.821624,"IndicCrosslingualSTS":0.05090266666666667,"SprintDuplicateQuestions":0.9553621808930456,"WikipediaRerankingMultilingual":0.6470839375,"EstonianValenceClassification":0.298778,"STS15":0.86281,"MLQARetrieval":0.116965,"HALClusteringS2S.v2":0.158536,"PoemSentimentClassification":0.506612,"BrazilianToxicTweetsClassification":0.165869,"StatcanDialogueDatasetRetrieval":0.05352,"STS17":0.34496736363636366,"NordicLangClassification":0.548533,"ArXivHierarchicalClusteringP2P":0.55395,"NusaTranslationBitextMining":0.5334243636363637,"MassiveIntentClassification":0.3391107058823529,"CLSClusteringP2P.v2":0.146943,"WikipediaRetrievalMultilingual":0.3856275,"SinhalaNewsClassification":0.374219,"StackExchangeClustering.v2":0.547458,"MasakhaNEWSClassification":0.5780774375,"NusaX-senti":0.5403541666666667,"CataloniaTweetClassification":0.43349475,"OpusparcusPC":0.8754769166666666,"ArmenianParaphrasePC":0.869898,"KorHateSpeechMLClassification":0.02435,"WikiClusteringP2P.v2":0.2221782142857143,"AmazonCounterfactualClassification":0.67539825,"ArXivHierarchicalClusteringS2S":0.529036,"NepaliNewsClassification":0.434229,"ArguAna":0.47368,"AILAStatutes":0.21905,"ToxicConversationsClassification":0.6604019999999999,"IndicGenBenchFloresBitextMining":0.016862913793103448,"CSFDSKMovieReviewSentimentClassification":0.215381,"SiswatiNewsClassification":0.73875,"CEDRClassification":0.339798,"TempReasonL1":0.00917,"BiorxivClusteringP2P.v2":0.388749,"NorwegianCourtsBitextMining":0.868421,"PunjabiNewsClassification":0.596815,"SpartQA":0.06817,"BUCC.v2":0.08639675,"BornholmBitextMining":0.353883,"BibleNLPBitextMining":0.009791178743961354,"SIB200ClusteringS2S":0.051009751269035536,"RTE3":0.8637319999999999,"TERRa":0.448793,"SwahiliNewsClassification":0.458887,"DBpediaClassification":0.900195,"HagridRetrieval":0.98381,"MultiHateClassification":0.5461727272727273,"WikiCitiesClustering":0.694204,"Tatoeba":0.04227753571428571,"STS14":0.781707,"KurdishSentimentClassification":0.570206,"PpcPC":0.715594,"STSBenchmark":0.839242,"MasakhaNEWSClusteringS2S":0.3485259375,"MIRACLRetrievalHardNegatives":0.10029722222222222,"NTREXBitextMining":0.11667915762004176,"DalajClassification":0.50259,"SICK-R":0.761108,"NollySentiBitextMining":0.2655775,"SCIDOCS":0.16243,"BelebeleRetrieval":0.1798716489361702,"IsiZuluNewsClassification":0.250931,"TwitterHjerneRetrieval":0.15347,"STSB":0.4495615,"STSES":0.69182,"KorSarcasmClassification":0.545947,"WinoGrande":0.32778,"SentimentAnalysisHindi":0.353695,"RuBQReranking":0.218998,"CyrillicTurkicLangClassification":0.616846,"FilipinoShopeeReviewsClassification":0.2803465,"STS22.v2":0.37378016666666664,"RomaniBibleClustering":0.359203,"MacedonianTweetSentimentClassification":0.362687,"AfriSentiClassification":0.374544,"STS12":0.726714,"LegalBenchCorporateLobbying":0.87051,"TweetTopicSingleClassification":0.690018,"MultiEURLEXMultilabelClassification":0.023515652173913045,"T2Reranking":0.56429,"GreekLegalCodeClassification":0.03840300000000001,"SlovakMovieReviewSentimentClassification":0.532324,"FaroeseSTS":0.669047,"SwissJudgementClassification":0.5570309999999999,"TwitterURLCorpus":0.8468882859374923,"TRECCOVID":0.49032,"IndicLangClassification":0.448978,"GujaratiNewsClassification":0.421851,"ItaCaseholdClassification":0.682805,"FloresBitextMining":0.07012730911330049,"Robust04InstructionRetrieval":-0.104723,"BulgarianStoreReviewSentimentClassfication":0.317582,"OdiaNewsClassification":0.60273,"TswanaNewsClassification":0.264066,"PlscClusteringP2P.v2":0.635968,"FinancialPhrasebankClassification":0.715945,"News21InstructionRetrieval":0.007281,"StackOverflowQA":0.60168,"Core17InstructionRetrieval":-0.017604,"WebLINXCandidatesReranking":0.11925583333333334,"PAC":0.577816,"VoyageMMarcoReranking":0.26348,"MedrxivClusteringP2P.v2":0.36007,"GermanSTSBenchmark":0.6595679999999999,"AlloprofReranking":0.435884,"AlloProfClusteringS2S.v2":0.245861,"ScalaClassification":0.5015625,"indonli":0.484249,"IN22GenBitextMining":0.034501448616600795,"CovidRetrieval":0.00898,"BigPatentClustering.v2":0.339733,"PawsXPairClassification":0.5324366428571429,"NusaXBitextMining":0.19246963636363637,"NusaParagraphEmotionClassification":0.2901275,"LEMBPasskeyRetrieval":0.2925,"CTKFactsNLI":0.724629,"DiaBlaBitextMining":0.069961,"IndonesianIdClickbaitClassification":0.547556,"XNLI":0.5732494642857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":146,"model":{"name":"Mihaiii/Bulbasaur","url":"https://huggingface.co/Mihaiii/Bulbasaur","zeroShotPct":-1,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":66.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Mihaiii/dwsdwass","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.032224333333333334,"MultilabelClassification":0.1436789043478261,"Classification":0.47826896896232324,"Retrieval":0.2988297125294168,"Reranking":0.3906125833333334,"Clustering":0.3506284647332759,"PairClassification":0.7193541881433845,"BitextMining":0.20447116453987535},"scoresByTask":{"SemRel24STS":0.377248,"FinParaSTS":0.0697205,"PolEmo2.0-OUT":0.287652,"JSICK":0.648887,"SwednClusteringP2P":0.1504845,"MalteseNewsClassification":0.173008,"CzechProductReviewSentimentClassification":0.441748,"STS13":0.8096085686108583,"IndicCrosslingualSTS":0.037657416666666665,"SprintDuplicateQuestions":0.953535743677476,"WikipediaRerankingMultilingual":0.676343,"EstonianValenceClassification":0.295232,"STS15":0.8541548418250478,"MLQARetrieval":0.1168015306122449,"HALClusteringS2S.v2":0.136678,"PoemSentimentClassification":0.511364,"BrazilianToxicTweetsClassification":0.15752,"StatcanDialogueDatasetRetrieval":0.056795,"NordicLangClassification":0.5646,"ArXivHierarchicalClusteringP2P":0.548762,"NusaTranslationBitextMining":0.5357751818181818,"MassiveIntentClassification":0.343609137254902,"CLSClusteringP2P.v2":0.142804,"WikipediaRetrievalMultilingual":0.40743125,"SinhalaNewsClassification":0.359229,"StackExchangeClustering.v2":0.528627,"MasakhaNEWSClassification":0.567992375,"NusaX-senti":0.5462291666666667,"CataloniaTweetClassification":0.4355955,"OpusparcusPC":0.8761156666666667,"ArmenianParaphrasePC":0.873335,"KorHateSpeechMLClassification":0.025479,"WikiClusteringP2P.v2":0.21635871428571427,"AmazonCounterfactualClassification":0.67891425,"ArXivHierarchicalClusteringS2S":0.519981,"NepaliNewsClassification":0.441943,"ArguAna":0.44798000000000004,"AILAStatutes":0.21429,"ToxicConversationsClassification":0.662939453125,"IndicGenBenchFloresBitextMining":0.016877836206896552,"CSFDSKMovieReviewSentimentClassification":0.213477,"SiswatiNewsClassification":0.7525,"CEDRClassification":0.339851,"TempReasonL1":0.00909,"BiorxivClusteringP2P.v2":0.372338,"NorwegianCourtsBitextMining":0.89693,"PunjabiNewsClassification":0.58535,"SpartQA":0.09554,"BUCC.v2":0.07516375,"BornholmBitextMining":0.355206,"BibleNLPBitextMining":0.00885387198067633,"SIB200ClusteringS2S":0.046045096446700504,"RTE3":0.86225975,"TERRa":0.461677,"SwahiliNewsClassification":0.489111,"DBpediaClassification":0.898584,"HagridRetrieval":0.98429,"MultiHateClassification":0.5475,"WikiCitiesClustering":0.664505,"Tatoeba":0.041330821428571425,"STS14":0.7708348207580887,"KurdishSentimentClassification":0.572672,"PpcPC":0.717387,"STSBenchmark":0.8333681512924129,"MasakhaNEWSClusteringS2S":0.361538125,"MIRACLRetrievalHardNegatives":0.10469055555555556,"NTREXBitextMining":0.10674581576200418,"DalajClassification":0.501689,"SICK-R":0.7604335461102429,"NollySentiBitextMining":0.269146,"SCIDOCS":0.15312,"BelebeleRetrieval":0.17485648936170212,"IsiZuluNewsClassification":0.251995,"TwitterHjerneRetrieval":0.11573,"STSB":0.432704,"STSES":0.691993,"KorSarcasmClassification":0.53457,"WinoGrande":0.33889,"SentimentAnalysisHindi":0.357406,"RuBQReranking":0.249757,"CyrillicTurkicLangClassification":0.613086,"FilipinoShopeeReviewsClassification":0.281836,"STS22.v2":0.3605543888888889,"RomaniBibleClustering":0.351898,"MacedonianTweetSentimentClassification":0.358033,"AfriSentiClassification":0.37925216666666667,"STS12":0.6949541146727839,"LegalBenchCorporateLobbying":0.84881,"TweetTopicSingleClassification":0.665387,"MultiEURLEXMultilabelClassification":0.022536521739130434,"T2Reranking":0.587871,"GreekLegalCodeClassification":0.038086,"SlovakMovieReviewSentimentClassification":0.527832,"FaroeseSTS":0.668874,"SwissJudgementClassification":0.5676886666666667,"TwitterURLCorpus":0.8474905878045149,"TRECCOVID":0.47773,"IndicLangClassification":0.445963,"GujaratiNewsClassification":0.402656,"ItaCaseholdClassification":0.623982,"FloresBitextMining":0.06121922150584371,"Robust04InstructionRetrieval":-0.080323,"BulgarianStoreReviewSentimentClassfication":0.315385,"OdiaNewsClassification":0.597633,"TswanaNewsClassification":0.275565,"PlscClusteringP2P.v2":0.621813,"FinancialPhrasebankClassification":0.711396,"News21InstructionRetrieval":0.000426,"StackOverflowQA":0.53802,"Core17InstructionRetrieval":-0.016776,"WebLINXCandidatesReranking":0.1282115,"PAC":0.564176,"VoyageMMarcoReranking":0.287173,"MedrxivClusteringP2P.v2":0.347521,"GermanSTSBenchmark":0.664106,"AlloprofReranking":0.41432,"AlloProfClusteringS2S.v2":0.22925,"ScalaClassification":0.50147675,"indonli":0.482755,"IN22GenBitextMining":0.04075118577075099,"CovidRetrieval":0.02487,"BigPatentClustering.v2":0.371452,"PawsXPairClassification":0.5293296428571429,"NusaXBitextMining":0.18519845454545455,"NusaParagraphEmotionClassification":0.3042302,"LEMBPasskeyRetrieval":0.27,"CTKFactsNLI":0.732909,"DiaBlaBitextMining":0.064927,"IndonesianIdClickbaitClassification":0.55,"XNLI":0.5761016785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":147,"model":{"name":"cointegrated/LaBSE-en-ru","url":"https://huggingface.co/cointegrated/LaBSE-en-ru","zeroShotPct":100,"activeParamsB":0.087,"totalParamsB":0.129,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2021-06-10","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":492.0,"license":"not specified","publicTrainingCode":"https://colab.research.google.com/drive/1dnPRn0-ugj3vZgSpyCC9sgslM2SuSfHy?usp=sharing","publicTrainingData":null,"adaptedFrom":"sentence-transformers/LaBSE","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.087,"totalParamsB":0.129,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03687833333333333,"MultilabelClassification":0.188063362472855,"Classification":0.45541778120018267,"Retrieval":0.24793877469939904,"Reranking":0.4086852405155444,"STS":0.4676532021780303},"scoresByTask":{"SemRel24STS":0.25242933333333334,"FinParaSTS":0.1325085,"PolEmo2.0-OUT":0.336437,"JSICK":0.3762,"SwednClusteringP2P":0.217571,"MalteseNewsClassification":0.263126,"CzechProductReviewSentimentClassification":0.437012,"STS13":0.676614,"IndicCrosslingualSTS":-0.01905291666666667,"SprintDuplicateQuestions":0.885328,"WikipediaRerankingMultilingual":0.659675125,"EstonianValenceClassification":0.329218,"STS15":0.762084,"MLQARetrieval":0.17405316326530615,"HALClusteringS2S.v2":0.126214,"PoemSentimentClassification":0.4684525,"BrazilianToxicTweetsClassification":0.201367,"StatcanDialogueDatasetRetrieval":0.0278575,"STS17":0.39858781818181815,"NordicLangClassification":0.3884,"ArXivHierarchicalClusteringP2P":0.515464,"NusaTranslationBitextMining":0.7999595454545454,"MassiveIntentClassification":0.21003650174042923,"CLSClusteringP2P.v2":0.114889,"WikipediaRetrievalMultilingual":0.3924725,"SinhalaNewsClassification":0.335107,"StackExchangeClustering.v2":0.421822,"MasakhaNEWSClassification":0.580954,"NusaX-senti":0.5536666666666666,"CataloniaTweetClassification":0.4489545,"OpusparcusPC":0.8984296666666666,"ArmenianParaphrasePC":0.844185,"KorHateSpeechMLClassification":0.044477,"WikiClusteringP2P.v2":0.23512457142857143,"AmazonCounterfactualClassification":0.651494875,"ArXivHierarchicalClusteringS2S":0.508431,"NepaliNewsClassification":0.548193,"ArguAna":0.3191,"AILAStatutes":0.15942,"ToxicConversationsClassification":0.602588,"IndicGenBenchFloresBitextMining":0.11540016379310344,"CSFDSKMovieReviewSentimentClassification":0.229053,"SiswatiNewsClassification":0.57625,"CEDRClassification":0.4074920297555792,"TempReasonL1":0.01646,"BiorxivClusteringP2P.v2":0.316111,"NorwegianCourtsBitextMining":0.883772,"PunjabiNewsClassification":0.598089,"SpartQA":0.0152,"BornholmBitextMining":0.373606,"RTE3":0.86048675,"TERRa":0.5560737658298138,"SwahiliNewsClassification":0.5104,"DBpediaClassification":0.837402,"HagridRetrieval":0.93759,"MultiHateClassification":0.584309090909091,"WikiCitiesClustering":0.606953,"STS14":0.633248,"KurdishSentimentClassification":0.608203,"PpcPC":0.729482,"STSBenchmark":0.719106,"MasakhaNEWSClusteringS2S":0.3443684375,"MIRACLRetrievalHardNegatives":0.05124111111111111,"DalajClassification":0.500788,"SICK-R":0.691298,"NollySentiBitextMining":0.48914375,"SCIDOCS":0.0496,"BelebeleRetrieval":0.29014367021276594,"IsiZuluNewsClassification":0.217021,"TwitterHjerneRetrieval":0.09291,"STSB":0.1008745,"STSES":0.631486,"KorSarcasmClassification":0.546826,"WinoGrande":0.53289,"SentimentAnalysisHindi":0.352607,"RuBQReranking":0.548269484759933,"CyrillicTurkicLangClassification":0.338525390625,"FilipinoShopeeReviewsClassification":0.280005,"STS22.v2":0.5425525,"RomaniBibleClustering":0.439483,"MacedonianTweetSentimentClassification":0.503687,"AfriSentiClassification":0.35546716666666667,"STS12":0.651557,"LegalBenchCorporateLobbying":0.66237,"TweetTopicSingleClassification":0.515535,"MultiEURLEXMultilabelClassification":0.023854782608695654,"T2Reranking":0.571021,"GreekLegalCodeClassification":0.024780499999999997,"SlovakMovieReviewSentimentClassification":0.554834,"FaroeseSTS":0.362058,"SwissJudgementClassification":0.5445030000000001,"TwitterURLCorpus":0.840376,"TRECCOVID":0.14896,"IndicLangClassification":0.132418,"GujaratiNewsClassification":0.418209,"ItaCaseholdClassification":0.40905,"Robust04InstructionRetrieval":-0.090741,"BulgarianStoreReviewSentimentClassfication":0.53022,"OdiaNewsClassification":0.608505,"TswanaNewsClassification":0.210267,"PlscClusteringP2P.v2":0.693065,"FinancialPhrasebankClassification":0.716122,"News21InstructionRetrieval":-0.0039,"StackOverflowQA":0.38161,"Core17InstructionRetrieval":-0.015994,"WebLINXCandidatesReranking":0.09846483333333333,"PAC":0.686128,"VoyageMMarcoReranking":0.151737,"MedrxivClusteringP2P.v2":0.326852,"GermanSTSBenchmark":0.5709005,"AlloprofReranking":0.422944,"AlloProfClusteringS2S.v2":0.167657,"ScalaClassification":0.5041745,"indonli":0.477294,"IN22GenBitextMining":0.10106442687747035,"CovidRetrieval":0.00352,"BigPatentClustering.v2":0.353071,"PawsXPairClassification":0.4997624285714286,"NusaXBitextMining":0.3399600909090909,"NusaParagraphEmotionClassification":0.2327149,"LEMBPasskeyRetrieval":0.2075,"CTKFactsNLI":0.689113,"DiaBlaBitextMining":0.681559,"IndonesianIdClickbaitClassification":0.566357},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":148,"model":{"name":"ibm-granite/granite-embedding-30m-english","url":"https://huggingface.co/ibm-granite/granite-embedding-30m-english","zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.03,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-12-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{awasthy2025graniteembedding,\n title={Granite Embedding Models},\n author={Awasthy, Parul and Trivedi, Aashka and Li, Yulong and Bornea, Mihaela and Cox, David and Daniels, Abraham and Franz, Martin and Goodhart, Gabe and Iyer, Bhavani and Kumar, Vishwajeet and Lastras, Luis and McCarley, Scott and Murthy, Rudra and P, Vignesh and Rosenthal, Sara and Roukos, Salim and Sen, Jaydeep and Sharma, Sukriti and Sil, Avirup and Soule, Kate and Sultan, Arafat and Florian, Radu},\n journal={arXiv preprint arXiv:2502.20204},\n year={2025}\n}","memoryUsageMb":58.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.011,"totalParamsB":0.03,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.027522333333333333,"MultilabelClassification":0.15387925217391304,"Classification":0.46283935071145793,"Retrieval":0.3642605380512134,"Reranking":0.42527197222222224,"Clustering":0.3827409129775879,"PairClassification":0.7025864859307359,"BitextMining":0.25256538178877846},"scoresByTask":{"SemRel24STS":0.3514964166666667,"FinParaSTS":0.10190250000000001,"PolEmo2.0-OUT":0.219433,"JSICK":0.743727,"SwednClusteringP2P":0.1857,"MalteseNewsClassification":0.194906,"CzechProductReviewSentimentClassification":0.431396,"STS13":0.793253,"IndicCrosslingualSTS":-0.021329,"SprintDuplicateQuestions":0.9417,"WikipediaRerankingMultilingual":0.6673805,"EstonianValenceClassification":0.283374,"STS15":0.820343,"MLQARetrieval":0.2048645918367347,"HALClusteringS2S.v2":0.215955,"PoemSentimentClassification":0.4325685,"BrazilianToxicTweetsClassification":0.182764,"StatcanDialogueDatasetRetrieval":0.21044500000000002,"NordicLangClassification":0.513633,"ArXivHierarchicalClusteringP2P":0.570169,"NusaTranslationBitextMining":0.6181254545454545,"MassiveIntentClassification":0.2665588529411765,"CLSClusteringP2P.v2":0.178922,"WikipediaRetrievalMultilingual":0.453113125,"SinhalaNewsClassification":0.398047,"StackExchangeClustering.v2":0.575859,"MasakhaNEWSClassification":0.6109189375,"NusaX-senti":0.5214791666666666,"CataloniaTweetClassification":0.44640025,"OpusparcusPC":0.8628616666666667,"ArmenianParaphrasePC":0.852758,"KorHateSpeechMLClassification":0.044919,"WikiClusteringP2P.v2":0.24360264285714286,"AmazonCounterfactualClassification":0.594342625,"ArXivHierarchicalClusteringS2S":0.568468,"NepaliNewsClassification":0.426367,"ArguAna":0.56356,"AILAStatutes":0.1967,"ToxicConversationsClassification":0.629395,"IndicGenBenchFloresBitextMining":0.03729640517241379,"CSFDSKMovieReviewSentimentClassification":0.204736,"SiswatiNewsClassification":0.50875,"CEDRClassification":0.320829,"TempReasonL1":0.01003,"BiorxivClusteringP2P.v2":0.4248,"NorwegianCourtsBitextMining":0.906433,"PunjabiNewsClassification":0.56242,"SpartQA":0.04634,"BUCC.v2":0.1772235,"BornholmBitextMining":0.347321,"BibleNLPBitextMining":0.028966552536231885,"SIB200ClusteringS2S":0.08212515228426395,"RTE3":0.852432,"TERRa":0.462397,"SwahiliNewsClassification":0.504053,"DBpediaClassification":0.868359,"HagridRetrieval":0.98832,"MultiHateClassification":0.5363181818181818,"WikiCitiesClustering":0.70549,"Tatoeba":0.06139511607142857,"STS14":0.701701,"KurdishSentimentClassification":0.589482,"PpcPC":0.652164,"STSBenchmark":0.780444,"MasakhaNEWSClusteringS2S":0.3653918125,"MIRACLRetrievalHardNegatives":0.128445,"NTREXBitextMining":0.22736762317327766,"DalajClassification":0.49955,"SICK-R":0.687981,"NollySentiBitextMining":0.31255925,"SCIDOCS":0.22542,"BelebeleRetrieval":0.2830219680851064,"IsiZuluNewsClassification":0.227926,"TwitterHjerneRetrieval":0.05737,"STSB":0.46819049999999995,"STSES":0.6635,"KorSarcasmClassification":0.533594,"WinoGrande":0.3921,"SentimentAnalysisHindi":0.376489,"RuBQReranking":0.282424,"CyrillicTurkicLangClassification":0.571729,"FilipinoShopeeReviewsClassification":0.25852050000000004,"STS22.v2":0.4950058333333333,"RomaniBibleClustering":0.387143,"MacedonianTweetSentimentClassification":0.371993,"AfriSentiClassification":0.36357825,"STS12":0.647738,"LegalBenchCorporateLobbying":0.9175,"TweetTopicSingleClassification":0.681453,"MultiEURLEXMultilabelClassification":0.025978260869565218,"T2Reranking":0.599683,"GreekLegalCodeClassification":0.0194335,"SlovakMovieReviewSentimentClassification":0.549561,"FaroeseSTS":0.589036,"SwissJudgementClassification":0.5442496666666666,"TwitterURLCorpus":0.825792,"TRECCOVID":0.63098,"IndicLangClassification":0.602364,"GujaratiNewsClassification":0.460926,"ItaCaseholdClassification":0.585973,"FloresBitextMining":0.16936396689365402,"Robust04InstructionRetrieval":-0.072118,"BulgarianStoreReviewSentimentClassfication":0.304945,"OdiaNewsClassification":0.584677,"TswanaNewsClassification":0.229569,"PlscClusteringP2P.v2":0.663508,"FinancialPhrasebankClassification":0.665636,"News21InstructionRetrieval":-0.002204,"StackOverflowQA":0.83927,"Core17InstructionRetrieval":-0.008245,"WebLINXCandidatesReranking":0.09230533333333334,"PAC":0.59305,"VoyageMMarcoReranking":0.282407,"MedrxivClusteringP2P.v2":0.362956,"GermanSTSBenchmark":0.6116334999999999,"AlloprofReranking":0.627432,"AlloProfClusteringS2S.v2":0.305365,"ScalaClassification":0.50096425,"indonli":0.479779,"IN22GenBitextMining":0.05930191304347826,"CovidRetrieval":0.02421,"BigPatentClustering.v2":0.2884,"PawsXPairClassification":0.5298398571428572,"NusaXBitextMining":0.2411591818181818,"NusaParagraphEmotionClassification":0.2663374,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.708529,"DiaBlaBitextMining":0.096837,"IndonesianIdClickbaitClassification":0.561542,"XNLI":0.5601988214285714},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":149,"model":{"name":"Jaume/gemma-2b-embeddings","url":"https://huggingface.co/Jaume/gemma-2b-embeddings","zeroShotPct":100,"activeParamsB":1.982,"totalParamsB":2.506,"embeddingDim":2048,"maxTokens":8192.0,"releaseDate":"2024-06-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":9560.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google/gemma-2b","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":1.982,"totalParamsB":2.506,"embeddingDim":2048,"maxTokens":8192,"meanTask":0.37269602110932054,"meanTaskType":0.29576659576256975,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.007377999999999999,"MultilabelClassification":0.16214935652173912,"Classification":0.5457082037479791,"Retrieval":0.13045965883536234,"Reranking":0.33658943750000003,"STS":0.367847289614899,"Clustering":0.39150057615063,"PairClassification":0.678000014069264,"BitextMining":0.04226682542325399},"scoresByTask":{"SemRel24STS":0.37133625,"FinParaSTS":-0.005552,"PolEmo2.0-OUT":0.393117,"JSICK":0.655011,"SwednClusteringP2P":0.24382,"MalteseNewsClassification":0.249543,"CzechProductReviewSentimentClassification":0.481494,"STS13":0.411003,"IndicCrosslingualSTS":0.07974633333333334,"SprintDuplicateQuestions":0.499197,"WikipediaRerankingMultilingual":0.563330625,"EstonianValenceClassification":0.359291,"STS15":0.483298,"MLQARetrieval":0.04651132653061225,"HALClusteringS2S.v2":0.150617,"PoemSentimentClassification":0.37698750000000003,"BrazilianToxicTweetsClassification":0.177393,"StatcanDialogueDatasetRetrieval":0.0139725,"STS17":0.2459242727272727,"NordicLangClassification":0.8043,"ArXivHierarchicalClusteringP2P":0.629021,"NusaTranslationBitextMining":0.099618,"MassiveIntentClassification":0.43218946078431375,"CLSClusteringP2P.v2":0.36565,"WikipediaRetrievalMultilingual":0.19933,"SinhalaNewsClassification":0.533984,"StackExchangeClustering.v2":0.540221,"MasakhaNEWSClassification":0.6695428125,"NusaX-senti":0.5619375,"CataloniaTweetClassification":0.47847675,"OpusparcusPC":0.8573445833333334,"ArmenianParaphrasePC":0.911933,"KorHateSpeechMLClassification":0.039175,"WikiClusteringP2P.v2":0.2203967142857143,"AmazonCounterfactualClassification":0.66562675,"ArXivHierarchicalClusteringS2S":0.572064,"NepaliNewsClassification":0.903223,"ArguAna":0.21347,"AILAStatutes":0.1523,"ToxicConversationsClassification":0.631787,"IndicGenBenchFloresBitextMining":0.0029982155172413793,"CSFDSKMovieReviewSentimentClassification":0.256494,"SiswatiNewsClassification":0.715,"CEDRClassification":0.319341,"TempReasonL1":0.0004,"BiorxivClusteringP2P.v2":0.377624,"NorwegianCourtsBitextMining":0.391006,"PunjabiNewsClassification":0.727389,"SpartQA":0.00026,"BUCC.v2":0.0012000000000000001,"BornholmBitextMining":0.012804,"BibleNLPBitextMining":0.00032031823671497585,"SIB200ClusteringS2S":0.08480544162436549,"RTE3":0.86674675,"TERRa":0.525111,"SwahiliNewsClassification":0.614404,"DBpediaClassification":0.875488,"HagridRetrieval":0.46209,"MultiHateClassification":0.5763454545454546,"WikiCitiesClustering":0.775083,"Tatoeba":0.0017885357142857143,"STS14":0.360263,"KurdishSentimentClassification":0.572974,"PpcPC":0.739231,"STSBenchmark":0.333212,"MasakhaNEWSClusteringS2S":0.3295020625,"MIRACLRetrievalHardNegatives":0.03394388888888889,"NTREXBitextMining":0.008458733298538622,"DalajClassification":0.499212,"SICK-R":0.413266,"NollySentiBitextMining":0.014943499999999998,"SCIDOCS":0.01897,"BelebeleRetrieval":0.05499614361702128,"IsiZuluNewsClassification":0.242021,"TwitterHjerneRetrieval":0.03127,"STSB":0.492801,"STSES":0.550955,"KorSarcasmClassification":0.560303,"WinoGrande":0.0,"SentimentAnalysisHindi":0.461487,"RuBQReranking":0.283801,"CyrillicTurkicLangClassification":0.897266,"FilipinoShopeeReviewsClassification":0.33540000000000003,"STS22.v2":0.35419727777777776,"RomaniBibleClustering":0.39185,"MacedonianTweetSentimentClassification":0.459087,"AfriSentiClassification":0.3745924166666667,"STS12":0.42236,"LegalBenchCorporateLobbying":0.50447,"TweetTopicSingleClassification":0.663142,"MultiEURLEXMultilabelClassification":0.02529478260869565,"T2Reranking":0.596485,"GreekLegalCodeClassification":0.1922365,"SlovakMovieReviewSentimentClassification":0.585449,"FaroeseSTS":0.31969,"SwissJudgementClassification":0.5269156666666667,"TwitterURLCorpus":0.693589,"TRECCOVID":0.13112,"IndicLangClassification":0.953156,"GujaratiNewsClassification":0.675417,"ItaCaseholdClassification":0.530769,"FloresBitextMining":0.003492070028011205,"Robust04InstructionRetrieval":-0.013075,"BulgarianStoreReviewSentimentClassfication":0.472527,"OdiaNewsClassification":0.416,"TswanaNewsClassification":0.285421,"PlscClusteringP2P.v2":0.712742,"FinancialPhrasebankClassification":0.562102,"News21InstructionRetrieval":0.017608,"StackOverflowQA":0.33329,"Core17InstructionRetrieval":0.017601,"WebLINXCandidatesReranking":0.067782,"PAC":0.689719,"VoyageMMarcoReranking":0.235737,"MedrxivClusteringP2P.v2":0.346075,"GermanSTSBenchmark":0.3980455,"AlloprofReranking":0.272401,"AlloProfClusteringS2S.v2":0.237829,"ScalaClassification":0.52821075,"indonli":0.516958,"IN22GenBitextMining":0.010110084980237154,"CovidRetrieval":0.12688,"BigPatentClustering.v2":0.286709,"PawsXPairClassification":0.5546062857142857,"NusaXBitextMining":0.0001922727272727273,"NusaParagraphEmotionClassification":0.3448742,"LEMBPasskeyRetrieval":0.025,"CTKFactsNLI":0.7306729999999999,"DiaBlaBitextMining":0.002537,"IndonesianIdClickbaitClassification":0.580094,"XNLI":0.5626105357142858},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":150,"model":{"name":"brahmairesearch/slx-v0.1","url":"https://huggingface.co/brahmairesearch/slx-v0.1","zeroShotPct":-1,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-08-13","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":87.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.028401333333333334,"MultilabelClassification":0.15054333913043477,"Retrieval":0.32513572201013974,"Reranking":0.4028470208333334,"STS":0.5608430784406565,"Clustering":0.37887463665926396,"PairClassification":0.7123089848484848,"BitextMining":0.20094318510139028},"scoresByTask":{"SemRel24STS":0.4158695833333333,"FinParaSTS":0.103726,"PolEmo2.0-OUT":0.25,"JSICK":0.713296,"SwednClusteringP2P":0.164217,"MalteseNewsClassification":0.153026,"CzechProductReviewSentimentClassification":0.425098,"STS13":0.806032,"IndicCrosslingualSTS":-0.06275766666666667,"SprintDuplicateQuestions":0.945506,"WikipediaRerankingMultilingual":0.645374125,"EstonianValenceClassification":0.288509,"STS15":0.853896,"MLQARetrieval":0.13235469387755103,"HALClusteringS2S.v2":0.195182,"PoemSentimentClassification":0.457486,"BrazilianToxicTweetsClassification":0.213428,"StatcanDialogueDatasetRetrieval":0.104745,"STS17":0.3644377272727273,"NordicLangClassification":0.546967,"ArXivHierarchicalClusteringP2P":0.591069,"NusaTranslationBitextMining":0.553488,"MassiveIntentClassification":0.27579033513129075,"CLSClusteringP2P.v2":0.160126,"WikipediaRetrievalMultilingual":0.388066875,"SinhalaNewsClassification":0.372754,"StackExchangeClustering.v2":0.520094,"MasakhaNEWSClassification":0.5539274375000001,"NusaX-senti":0.5490208333333334,"CataloniaTweetClassification":0.44852325,"OpusparcusPC":0.8712918333333333,"ArmenianParaphrasePC":0.877853,"KorHateSpeechMLClassification":0.036622,"WikiClusteringP2P.v2":0.2291675,"ArXivHierarchicalClusteringS2S":0.545423,"NepaliNewsClassification":0.471387,"ArguAna":0.50167,"AILAStatutes":0.20516,"ToxicConversationsClassification":0.620947265625,"IndicGenBenchFloresBitextMining":0.02108126724137931,"CSFDSKMovieReviewSentimentClassification":0.202295,"SiswatiNewsClassification":0.6025,"CEDRClassification":0.327152,"TempReasonL1":0.01526,"BiorxivClusteringP2P.v2":0.409887,"NorwegianCourtsBitextMining":0.865497,"PunjabiNewsClassification":0.599363,"SpartQA":0.0165,"BUCC.v2":0.10671549999999999,"BornholmBitextMining":0.296813,"BibleNLPBitextMining":0.011137924516908213,"SIB200ClusteringS2S":0.06617043654822335,"RTE3":0.8550012499999999,"TERRa":0.450325,"SwahiliNewsClassification":0.385156,"DBpediaClassification":0.854395,"HagridRetrieval":0.98836,"MultiHateClassification":0.5401727272727274,"WikiCitiesClustering":0.756354,"Tatoeba":0.03876816964285714,"STS14":0.755891,"KurdishSentimentClassification":0.58148,"PpcPC":0.698808,"STSBenchmark":0.820325,"MasakhaNEWSClusteringS2S":0.38309225,"MIRACLRetrievalHardNegatives":0.08781666666666667,"NTREXBitextMining":0.1275167176409186,"DalajClassification":0.498986,"SICK-R":0.775824,"NollySentiBitextMining":0.250244,"SCIDOCS":0.21641,"BelebeleRetrieval":0.20799976063829786,"IsiZuluNewsClassification":0.233644,"TwitterHjerneRetrieval":0.09811,"STSB":0.420483,"STSES":0.643256,"KorSarcasmClassification":0.537256,"WinoGrande":0.47337,"SentimentAnalysisHindi":0.379391,"RuBQReranking":0.27049,"CyrillicTurkicLangClassification":0.649414,"FilipinoShopeeReviewsClassification":0.254541,"STS22.v2":0.4178761111111111,"RomaniBibleClustering":0.381566,"MacedonianTweetSentimentClassification":0.353117,"AfriSentiClassification":0.39807774999999995,"STS12":0.72369,"LegalBenchCorporateLobbying":0.86413,"TweetTopicSingleClassification":0.677614,"MultiEURLEXMultilabelClassification":0.022488695652173915,"T2Reranking":0.562593,"GreekLegalCodeClassification":0.033007499999999995,"SlovakMovieReviewSentimentClassification":0.535449,"FaroeseSTS":0.582364,"SwissJudgementClassification":0.5452203333333333,"TwitterURLCorpus":0.847017,"TRECCOVID":0.47246,"IndicLangClassification":0.486952,"GujaratiNewsClassification":0.425797,"ItaCaseholdClassification":0.511765,"FloresBitextMining":0.08523129170288804,"Robust04InstructionRetrieval":-0.079283,"BulgarianStoreReviewSentimentClassfication":0.281868,"OdiaNewsClassification":0.536362,"TswanaNewsClassification":0.232649,"PlscClusteringP2P.v2":0.642144,"FinancialPhrasebankClassification":0.74492,"News21InstructionRetrieval":-0.00247,"StackOverflowQA":0.83958,"Core17InstructionRetrieval":-0.003451,"WebLINXCandidatesReranking":0.080624,"PAC":0.59777,"VoyageMMarcoReranking":0.231784,"MedrxivClusteringP2P.v2":0.376066,"GermanSTSBenchmark":0.6392804999999999,"AlloprofReranking":0.626217,"AlloProfClusteringS2S.v2":0.311067,"ScalaClassification":0.50294175,"indonli":0.48637,"IN22GenBitextMining":0.031723081027667986,"CovidRetrieval":0.00795,"BigPatentClustering.v2":0.330369,"PawsXPairClassification":0.5198715714285714,"NusaXBitextMining":0.18903645454545454,"NusaParagraphEmotionClassification":0.2709792,"LEMBPasskeyRetrieval":0.23249999999999998,"CTKFactsNLI":0.699881,"DiaBlaBitextMining":0.035009,"IndonesianIdClickbaitClassification":0.538833,"XNLI":0.5834741785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":151,"model":{"name":"sentence-transformers/all-MiniLM-L6-v2","url":"https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":256.0,"releaseDate":"2021-08-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":87.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":256,"meanTask":0.41388331665689004,"meanTaskType":0.35121232771871097,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.028395899216562482,"MultilabelClassification":0.1505433131485864,"Classification":0.4619891058722598,"Retrieval":0.3251344483694778,"Reranking":0.4028457288760113,"STS":0.5608406488117608,"Clustering":0.3746685041822909,"PairClassification":0.71234656143939,"BitextMining":0.20093853798518438},"scoresByTask":{"SemRel24STS":0.4158299687313574,"FinParaSTS":0.1037258929878844,"PolEmo2.0-OUT":0.25,"JSICK":0.7132956112573411,"SwednClusteringP2P":0.1642169644991563,"MalteseNewsClassification":0.15302568567696995,"CzechProductReviewSentimentClassification":0.42509765625,"STS13":0.8060316722220763,"IndicCrosslingualSTS":-0.06275768107301821,"SprintDuplicateQuestions":0.9455063045792448,"WikipediaRerankingMultilingual":0.6453740906084656,"EstonianValenceClassification":0.2885085574572127,"STS15":0.8538961998125277,"MLQARetrieval":0.13235469387755103,"HALClusteringS2S.v2":0.19518159678221486,"PoemSentimentClassification":0.45748626373626367,"BrazilianToxicTweetsClassification":0.213427734375,"StatcanDialogueDatasetRetrieval":0.104745,"STS17":0.3644377160051358,"NordicLangClassification":0.5469666666666667,"ArXivHierarchicalClusteringP2P":0.5910688886391535,"NusaTranslationBitextMining":0.5534834731743657,"MassiveIntentClassification":0.27580150008606036,"CLSClusteringP2P.v2":0.1601255605728116,"WikipediaRetrievalMultilingual":0.388066875,"SinhalaNewsClassification":0.37275390625,"StackExchangeClustering.v2":0.45168045041945826,"MasakhaNEWSClassification":0.5539273624836312,"NusaX-senti":0.5490208333333334,"CataloniaTweetClassification":0.4489,"OpusparcusPC":0.871291849533954,"ArmenianParaphrasePC":0.8778529649601945,"KorHateSpeechMLClassification":0.03662248404516446,"WikiClusteringP2P.v2":0.23028238845653948,"AmazonCounterfactualClassification":0.612801085532554,"ArXivHierarchicalClusteringS2S":0.5454234024039991,"NepaliNewsClassification":0.47138671875,"ArguAna":0.50167,"AILAStatutes":0.20516,"ToxicConversationsClassification":0.620947265625,"IndicGenBenchFloresBitextMining":0.02108128771845101,"CSFDSKMovieReviewSentimentClassification":0.202294921875,"SiswatiNewsClassification":0.6024999999999999,"CEDRClassification":0.3271519659936238,"TempReasonL1":0.01526,"BiorxivClusteringP2P.v2":0.40988693072325083,"NorwegianCourtsBitextMining":0.8654970760233919,"PunjabiNewsClassification":0.5993630573248407,"SpartQA":0.0165,"BUCC.v2":0.10671587961993721,"BornholmBitextMining":0.2968132161955691,"BibleNLPBitextMining":0.011138576083412973,"SIB200ClusteringS2S":0.06617230524659697,"RTE3":0.85500108394591,"TERRa":0.45032509347412525,"SwahiliNewsClassification":0.38515625,"DBpediaClassification":0.85439453125,"HagridRetrieval":0.98836,"MultiHateClassification":0.5401727272727274,"WikiCitiesClustering":0.7563541374891306,"Tatoeba":0.0387681767142979,"STS14":0.7558912408385123,"KurdishSentimentClassification":0.5814796175138399,"PpcPC":0.698808055469613,"STSBenchmark":0.8203247283076371,"MasakhaNEWSClusteringS2S":0.3830922209027274,"MIRACLRetrievalHardNegatives":0.08781666666666667,"NTREXBitextMining":0.12752171988262676,"DalajClassification":0.49898648648648647,"SICK-R":0.7758245525469719,"NollySentiBitextMining":0.25024383133939915,"SCIDOCS":0.21641,"BelebeleRetrieval":0.20799683510638298,"IsiZuluNewsClassification":0.23364361702127662,"TwitterHjerneRetrieval":0.09811,"STSB":0.4204829763657761,"STSES":0.6432562715409338,"KorSarcasmClassification":0.537255859375,"WinoGrande":0.47349,"SentimentAnalysisHindi":0.37939144205770264,"RuBQReranking":0.27049018085869947,"CyrillicTurkicLangClassification":0.6494140625,"FilipinoShopeeReviewsClassification":0.254541015625,"STS22.v2":0.4178760062371008,"RomaniBibleClustering":0.38156633920088634,"MacedonianTweetSentimentClassification":0.35311676909569795,"AfriSentiClassification":0.39807784818521946,"STS12":0.7236899998079941,"LegalBenchCorporateLobbying":0.86413,"TweetTopicSingleClassification":0.6776137034849381,"MultiEURLEXMultilabelClassification":0.022488695652173915,"T2Reranking":0.5625847471872464,"GreekLegalCodeClassification":0.0330078125,"SlovakMovieReviewSentimentClassification":0.53544921875,"FaroeseSTS":0.5823646054065518,"SwissJudgementClassification":0.5452370780686193,"TwitterURLCorpus":0.8470165732885377,"TRECCOVID":0.47232,"IndicLangClassification":0.48695180485239,"GujaratiNewsClassification":0.4257966616084977,"ItaCaseholdClassification":0.5117647058823529,"FloresBitextMining":0.08523166582150102,"Robust04InstructionRetrieval":-0.07926624489556626,"BulgarianStoreReviewSentimentClassfication":0.28186813186813187,"OdiaNewsClassification":0.5363623537701006,"TswanaNewsClassification":0.23264887063655032,"PlscClusteringP2P.v2":0.642143891719447,"FinancialPhrasebankClassification":0.7449204946996466,"News21InstructionRetrieval":-0.0024698946482787643,"StackOverflowQA":0.83958,"Core17InstructionRetrieval":-0.003451558105842423,"WebLINXCandidatesReranking":0.08062409755652669,"PAC":0.5977700550246163,"VoyageMMarcoReranking":0.23178399294632235,"MedrxivClusteringP2P.v2":0.3760657190392798,"GermanSTSBenchmark":0.63928061999339,"AlloprofReranking":0.6262172640988071,"AlloProfClusteringS2S.v2":0.31106653686581687,"ScalaClassification":0.50294189453125,"indonli":0.4863701148184245,"IN22GenBitextMining":0.031727883187521774,"CovidRetrieval":0.00795,"BigPatentClustering.v2":0.33036873395618593,"PawsXPairClassification":0.5200548298916328,"NusaXBitextMining":0.18903644124328,"NusaParagraphEmotionClassification":0.2709792697760127,"LEMBPasskeyRetrieval":0.23249999999999998,"CTKFactsNLI":0.6998808878706495,"DiaBlaBitextMining":0.03494176680364238,"IndonesianIdClickbaitClassification":0.5388334753005497,"XNLI":0.5837044180010047},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":152,"model":{"name":"deepvk/USER-base","url":"https://huggingface.co/deepvk/USER-base","zeroShotPct":98,"activeParamsB":0.388,"totalParamsB":0.427,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":473.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"https://huggingface.co/deepvk/deberta-v1-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["BibleNLPBitextMining","MIRACL","MLSUMClusteringP2P","MLSUMClusteringP2P.v2","MLSUMClusteringS2S","MLSUMClusteringS2S.v2","MrTidyRetrieval","TERRa"]},"zeroShotPct":98,"activeParamsB":0.388,"totalParamsB":0.427,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.01957633333333333,"MultilabelClassification":0.17547118163840503,"Classification":0.45668325296345813,"Reranking":0.40966021850180984,"STS":0.5123981868686869},"scoresByTask":{"SemRel24STS":0.34292833333333334,"FinParaSTS":0.0962565,"PolEmo2.0-OUT":0.231781,"JSICK":0.558206,"SwednClusteringP2P":0.1442025,"MalteseNewsClassification":0.140009,"CzechProductReviewSentimentClassification":0.437207,"STS13":0.687676,"IndicCrosslingualSTS":-0.009437333333333332,"SprintDuplicateQuestions":0.832529,"WikipediaRerankingMultilingual":0.653285,"EstonianValenceClassification":0.302812,"STS15":0.798783,"MLQARetrieval":0.13608244897959182,"HALClusteringS2S.v2":0.097611,"PoemSentimentClassification":0.3658975,"BrazilianToxicTweetsClassification":0.200928,"StatcanDialogueDatasetRetrieval":0.053247499999999996,"STS17":0.34083454545454545,"NordicLangClassification":0.452067,"ArXivHierarchicalClusteringP2P":0.497383,"NusaTranslationBitextMining":0.7008840909090909,"MassiveIntentClassification":0.2421457156862745,"CLSClusteringP2P.v2":0.09821,"WikipediaRetrievalMultilingual":0.34566875,"SinhalaNewsClassification":0.391357,"StackExchangeClustering.v2":0.438431,"MasakhaNEWSClassification":0.541693875,"NusaX-senti":0.5470833333333334,"CataloniaTweetClassification":0.44381499999999996,"OpusparcusPC":0.8975374166666666,"ArmenianParaphrasePC":0.873068,"KorHateSpeechMLClassification":0.04487,"WikiClusteringP2P.v2":0.2102722142857143,"AmazonCounterfactualClassification":0.5988165,"ArXivHierarchicalClusteringS2S":0.48083,"NepaliNewsClassification":0.381006,"ArguAna":0.39926,"AILAStatutes":0.10272,"ToxicConversationsClassification":0.624023,"IndicGenBenchFloresBitextMining":0.0436643448275862,"CSFDSKMovieReviewSentimentClassification":0.223535,"SiswatiNewsClassification":0.51625,"CEDRClassification":0.4678002125398512,"TempReasonL1":0.01214,"BiorxivClusteringP2P.v2":0.224626,"NorwegianCourtsBitextMining":0.876023,"PunjabiNewsClassification":0.526752,"SpartQA":0.02995,"BornholmBitextMining":0.348012,"RTE3":0.85447625,"TERRa":0.59756668260072,"SwahiliNewsClassification":0.414209,"DBpediaClassification":0.830469,"HagridRetrieval":0.9701,"MultiHateClassification":0.5545090909090908,"WikiCitiesClustering":0.589608,"STS14":0.671359,"KurdishSentimentClassification":0.58158,"PpcPC":0.752986,"STSBenchmark":0.760258,"MasakhaNEWSClusteringS2S":0.3406331875,"MIRACLRetrievalHardNegatives":0.061351666666666665,"DalajClassification":0.499775,"SICK-R":0.683356,"NollySentiBitextMining":0.30084875,"SCIDOCS":0.0636,"IsiZuluNewsClassification":0.224601,"TwitterHjerneRetrieval":0.01922,"STSB":0.2225815,"STSES":0.707118,"KorSarcasmClassification":0.53999,"WinoGrande":0.44542,"SentimentAnalysisHindi":0.354406,"RuBQReranking":0.6441753110108592,"CyrillicTurkicLangClassification":0.7572265625,"FilipinoShopeeReviewsClassification":0.2781495,"STS22.v2":0.43521944444444444,"RomaniBibleClustering":0.40757,"MacedonianTweetSentimentClassification":0.443898,"AfriSentiClassification":0.36903558333333336,"STS12":0.663084,"LegalBenchCorporateLobbying":0.79291,"TweetTopicSingleClassification":0.576787,"MultiEURLEXMultilabelClassification":0.023748695652173916,"T2Reranking":0.541785,"GreekLegalCodeClassification":0.0384275,"SlovakMovieReviewSentimentClassification":0.541895,"FaroeseSTS":0.5925,"SwissJudgementClassification":0.5495196666666667,"TwitterURLCorpus":0.816121,"TRECCOVID":0.20166,"IndicLangClassification":0.514768,"GujaratiNewsClassification":0.47352,"ItaCaseholdClassification":0.500905,"Robust04InstructionRetrieval":-0.059642,"BulgarianStoreReviewSentimentClassfication":0.478571,"OdiaNewsClassification":0.459704,"TswanaNewsClassification":0.194867,"PlscClusteringP2P.v2":0.659107,"FinancialPhrasebankClassification":0.628799,"News21InstructionRetrieval":0.015075,"StackOverflowQA":0.25245,"Core17InstructionRetrieval":-0.014162,"WebLINXCandidatesReranking":0.050924,"PAC":0.704141,"VoyageMMarcoReranking":0.181121,"MedrxivClusteringP2P.v2":0.285587,"GermanSTSBenchmark":0.647648,"AlloprofReranking":0.386671,"AlloProfClusteringS2S.v2":0.184139,"ScalaClassification":0.50233175,"indonli":0.48023,"IN22GenBitextMining":0.059279828063241106,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.258692,"PawsXPairClassification":0.5386080714285714,"NusaXBitextMining":0.2019088181818182,"NusaParagraphEmotionClassification":0.2409233,"LEMBPasskeyRetrieval":0.31,"CTKFactsNLI":0.7163094999999999,"DiaBlaBitextMining":0.180689,"IndonesianIdClickbaitClassification":0.55813},"scoresByCustomGroup":{},"trainedOnTasks":["BibleNLPBitextMining","TERRa"],"experiments":null},{"rank":153,"model":{"name":"Mihaiii/Wartortle","url":"https://huggingface.co/Mihaiii/Wartortle","zeroShotPct":99,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":66.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Mihaiii/test22","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.015414999999999998,"MultilabelClassification":0.14011400000000002,"Classification":0.46551199195412574,"Retrieval":0.27205967867830744,"Reranking":0.3958650138888889,"Clustering":0.3459077770718138,"PairClassification":0.7122649921497627,"BitextMining":0.1974757471839745},"scoresByTask":{"SemRel24STS":0.38515125,"FinParaSTS":0.130311,"PolEmo2.0-OUT":0.272267,"JSICK":0.638616,"SwednClusteringP2P":0.149821,"MalteseNewsClassification":0.146931,"CzechProductReviewSentimentClassification":0.449268,"STS13":0.7933304952540263,"IndicCrosslingualSTS":0.02701508333333334,"SprintDuplicateQuestions":0.9015934028795763,"WikipediaRerankingMultilingual":0.69902375,"EstonianValenceClassification":0.287531,"STS15":0.847000298638952,"MLQARetrieval":0.09157255102040816,"HALClusteringS2S.v2":0.122757,"PoemSentimentClassification":0.5248900000000001,"BrazilianToxicTweetsClassification":0.158496,"StatcanDialogueDatasetRetrieval":0.045097500000000006,"NordicLangClassification":0.575067,"ArXivHierarchicalClusteringP2P":0.556376,"NusaTranslationBitextMining":0.5590224545454545,"MassiveIntentClassification":0.27598117647058823,"CLSClusteringP2P.v2":0.153869,"WikipediaRetrievalMultilingual":0.394103125,"SinhalaNewsClassification":0.343066,"StackExchangeClustering.v2":0.503785,"MasakhaNEWSClassification":0.5660673125,"NusaX-senti":0.5681875,"CataloniaTweetClassification":0.43821975,"OpusparcusPC":0.8763417499999999,"ArmenianParaphrasePC":0.873995,"KorHateSpeechMLClassification":0.032695,"WikiClusteringP2P.v2":0.21522464285714288,"AmazonCounterfactualClassification":0.673900875,"ArXivHierarchicalClusteringS2S":0.521376,"NepaliNewsClassification":0.429639,"ArguAna":0.35865,"AILAStatutes":0.2242,"ToxicConversationsClassification":0.651513671875,"IndicGenBenchFloresBitextMining":0.018612060344827586,"CSFDSKMovieReviewSentimentClassification":0.224268,"SiswatiNewsClassification":0.45875,"CEDRClassification":0.338948,"TempReasonL1":0.01313,"BiorxivClusteringP2P.v2":0.3489,"NorwegianCourtsBitextMining":0.912281,"PunjabiNewsClassification":0.604459,"SpartQA":0.07108,"BUCC.v2":0.0695055,"BornholmBitextMining":0.352686,"BibleNLPBitextMining":0.0066283435990338166,"SIB200ClusteringS2S":0.04256485279187817,"RTE3":0.86464725,"TERRa":0.456607,"SwahiliNewsClassification":0.452881,"DBpediaClassification":0.832178,"HagridRetrieval":0.95822,"MultiHateClassification":0.5444818181818182,"WikiCitiesClustering":0.680131,"Tatoeba":0.041780196428571434,"STS14":0.7656213113240312,"KurdishSentimentClassification":0.560493,"PpcPC":0.719799,"STSBenchmark":0.8179344031651781,"MasakhaNEWSClusteringS2S":0.35422193750000003,"MIRACLRetrievalHardNegatives":0.07771944444444444,"NTREXBitextMining":0.09023710438413361,"DalajClassification":0.502027,"SICK-R":0.7823859592249686,"NollySentiBitextMining":0.23836675,"SCIDOCS":0.11124,"BelebeleRetrieval":0.14703159574468086,"IsiZuluNewsClassification":0.237234,"TwitterHjerneRetrieval":0.02264,"STSB":0.38280000000000003,"STSES":0.754312,"KorSarcasmClassification":0.52251,"WinoGrande":0.3508,"SentimentAnalysisHindi":0.352085,"RuBQReranking":0.29387,"CyrillicTurkicLangClassification":0.630957,"FilipinoShopeeReviewsClassification":0.313037,"STS22.v2":0.3854858333333333,"RomaniBibleClustering":0.372847,"MacedonianTweetSentimentClassification":0.35259,"AfriSentiClassification":0.37360883333333333,"STS12":0.751886741501174,"LegalBenchCorporateLobbying":0.82039,"TweetTopicSingleClassification":0.623981,"MultiEURLEXMultilabelClassification":0.0235,"T2Reranking":0.585164,"GreekLegalCodeClassification":0.0379395,"SlovakMovieReviewSentimentClassification":0.537891,"FaroeseSTS":0.628047,"SwissJudgementClassification":0.5414566666666667,"TwitterURLCorpus":0.845306725053528,"TRECCOVID":0.35736000000000007,"IndicLangClassification":0.423085,"GujaratiNewsClassification":0.428149,"ItaCaseholdClassification":0.553394,"FloresBitextMining":0.04632692859557616,"Robust04InstructionRetrieval":-0.072031,"BulgarianStoreReviewSentimentClassfication":0.337363,"OdiaNewsClassification":0.594616,"TswanaNewsClassification":0.279055,"PlscClusteringP2P.v2":0.61039,"FinancialPhrasebankClassification":0.726723,"News21InstructionRetrieval":0.010126,"StackOverflowQA":0.47642,"Core17InstructionRetrieval":0.01566,"WebLINXCandidatesReranking":0.08546833333333333,"PAC":0.57715,"VoyageMMarcoReranking":0.294249,"MedrxivClusteringP2P.v2":0.323423,"GermanSTSBenchmark":0.6389425,"AlloprofReranking":0.417415,"AlloProfClusteringS2S.v2":0.209747,"ScalaClassification":0.50058625,"indonli":0.479331,"IN22GenBitextMining":0.029204375494071146,"CovidRetrieval":0.03492,"BigPatentClustering.v2":0.369091,"PawsXPairClassification":0.5130219285714286,"NusaXBitextMining":0.133827,"NusaParagraphEmotionClassification":0.2813483,"LEMBPasskeyRetrieval":0.3425,"CTKFactsNLI":0.7122785,"DiaBlaBitextMining":0.068707,"IndonesianIdClickbaitClassification":0.55712,"XNLI":0.5919933571428572},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":154,"model":{"name":"ai-forever/ru-en-RoSBERTa","url":"https://huggingface.co/ai-forever/ru-en-RoSBERTa","zeroShotPct":98,"activeParamsB":0.303,"totalParamsB":0.404,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-07-29","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":"@misc{snegirev2024russianfocusedembeddersexplorationrumteb,\n title={The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design},\n author={Artem Snegirev and Maria Tikhonova and Anna Maksimova and Alena Fenogenova and Alexander Abramov},\n year={2024},\n eprint={2408.12503},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2408.12503},\n }\n ","memoryUsageMb":1540.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"ai-forever/ruRoberta-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["LanguageClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","XNLI","XNLIV2"]},"zeroShotPct":98,"activeParamsB":0.303,"totalParamsB":0.404,"embeddingDim":1024,"maxTokens":512,"meanTask":0.4157337978601649,"meanTaskType":0.3568358687115627,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03526966666666667,"MultilabelClassification":0.16952978135193825,"Classification":0.46778828403701855,"Retrieval":0.3268247305296232,"Reranking":0.455750840644982,"STS":0.5296854007260101,"Clustering":0.3591922789583711,"PairClassification":0.7146384318596648,"BitextMining":0.2233827369631226},"scoresByTask":{"SemRel24STS":0.33304016666666664,"FinParaSTS":0.080605,"PolEmo2.0-OUT":0.221255,"JSICK":0.685397,"SwednClusteringP2P":0.163908,"MalteseNewsClassification":0.173052,"CzechProductReviewSentimentClassification":0.434082,"STS13":0.780072,"IndicCrosslingualSTS":0.03349208333333333,"SprintDuplicateQuestions":0.882446,"WikipediaRerankingMultilingual":0.63673625,"EstonianValenceClassification":0.312836,"STS15":0.836179,"MLQARetrieval":0.13395367346938775,"HALClusteringS2S.v2":0.118955,"PoemSentimentClassification":0.509991,"BrazilianToxicTweetsClassification":0.171094,"StatcanDialogueDatasetRetrieval":0.1280675,"STS17":0.26998927272727274,"NordicLangClassification":0.489433,"ArXivHierarchicalClusteringP2P":0.567633,"NusaTranslationBitextMining":0.647083,"MassiveIntentClassification":0.24414950980392155,"CLSClusteringP2P.v2":0.073322,"WikipediaRetrievalMultilingual":0.390298125,"SinhalaNewsClassification":0.38374,"StackExchangeClustering.v2":0.525582,"MasakhaNEWSClassification":0.574602375,"NusaX-senti":0.5464583333333334,"CataloniaTweetClassification":0.43523625,"OpusparcusPC":0.8902169166666667,"ArmenianParaphrasePC":0.863395,"KorHateSpeechMLClassification":0.033677,"WikiClusteringP2P.v2":0.2376132142857143,"AmazonCounterfactualClassification":0.61691625,"ArXivHierarchicalClusteringS2S":0.518268,"NepaliNewsClassification":0.472119,"ArguAna":0.46085,"AILAStatutes":0.1885,"ToxicConversationsClassification":0.637158,"IndicGenBenchFloresBitextMining":0.018698025862068965,"CSFDSKMovieReviewSentimentClassification":0.214307,"SiswatiNewsClassification":0.51125,"CEDRClassification":0.44686503719447385,"TempReasonL1":0.01302,"BiorxivClusteringP2P.v2":0.368041,"NorwegianCourtsBitextMining":0.845029,"PunjabiNewsClassification":0.485987,"SpartQA":0.02735,"BUCC.v2":0.26148525,"BornholmBitextMining":0.269825,"BibleNLPBitextMining":0.01624330495169082,"SIB200ClusteringS2S":0.08482843654822335,"RTE3":0.85594975,"TERRa":0.6078861909325018,"SwahiliNewsClassification":0.400586,"DBpediaClassification":0.871729,"HagridRetrieval":0.9862,"MultiHateClassification":0.5472545454545454,"WikiCitiesClustering":0.722436,"Tatoeba":0.07574344642857143,"STS14":0.714767,"KurdishSentimentClassification":0.627126,"PpcPC":0.679745,"STSBenchmark":0.799474,"MasakhaNEWSClusteringS2S":0.37658281250000003,"MIRACLRetrievalHardNegatives":0.14175,"NTREXBitextMining":0.17609088308977036,"DalajClassification":0.498986,"SICK-R":0.731819,"NollySentiBitextMining":0.27442825000000004,"SCIDOCS":0.14939,"BelebeleRetrieval":0.23324585106382978,"IsiZuluNewsClassification":0.213165,"TwitterHjerneRetrieval":0.03846,"STSB":0.354265,"STSES":0.616056,"KorSarcasmClassification":0.551465,"WinoGrande":0.47737,"SentimentAnalysisHindi":0.341046,"RuBQReranking":0.708676293869892,"CyrillicTurkicLangClassification":0.541309,"FilipinoShopeeReviewsClassification":0.2849365,"STS22.v2":0.4330633888888889,"RomaniBibleClustering":0.386679,"MacedonianTweetSentimentClassification":0.427129,"AfriSentiClassification":0.35136775000000003,"STS12":0.676231,"LegalBenchCorporateLobbying":0.88156,"TweetTopicSingleClassification":0.646604,"MultiEURLEXMultilabelClassification":0.022960869565217392,"T2Reranking":0.608374,"GreekLegalCodeClassification":0.0195555,"SlovakMovieReviewSentimentClassification":0.55249,"FaroeseSTS":0.559282,"SwissJudgementClassification":0.5557300000000001,"TwitterURLCorpus":0.812472,"TRECCOVID":0.63167,"IndicLangClassification":0.645029,"GujaratiNewsClassification":0.424734,"ItaCaseholdClassification":0.453846,"FloresBitextMining":0.109850955761615,"Robust04InstructionRetrieval":-0.085941,"BulgarianStoreReviewSentimentClassfication":0.523626,"OdiaNewsClassification":0.593353,"TswanaNewsClassification":0.212115,"PlscClusteringP2P.v2":0.638956,"FinancialPhrasebankClassification":0.771422,"News21InstructionRetrieval":-0.008331,"StackOverflowQA":0.70616,"Core17InstructionRetrieval":-0.011537,"WebLINXCandidatesReranking":0.0788515,"PAC":0.655807,"VoyageMMarcoReranking":0.200888,"MedrxivClusteringP2P.v2":0.364014,"GermanSTSBenchmark":0.5712345,"AlloprofReranking":0.500979,"AlloProfClusteringS2S.v2":0.206694,"ScalaClassification":0.500366,"indonli":0.486623,"IN22GenBitextMining":0.03304446442687747,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.393564,"PawsXPairClassification":0.519127,"NusaXBitextMining":0.134686,"NusaParagraphEmotionClassification":0.2465892,"LEMBPasskeyRetrieval":0.295,"CTKFactsNLI":0.6909235,"DiaBlaBitextMining":0.041768,"IndonesianIdClickbaitClassification":0.568009,"XNLI":0.5722383928571428},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","XNLI"],"experiments":null},{"rank":155,"model":{"name":"jinaai/jina-embedding-b-en-v1","url":"https://huggingface.co/jinaai/jina-embedding-b-en-v1","zeroShotPct":100,"activeParamsB":0.085,"totalParamsB":0.11,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-07-07","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{günther2023jina,\n title={Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models},\n author={Michael Günther and Louis Milliken and Jonathan Geuter and Georgios Mastrapas and Bo Wang and Han Xiao},\n year={2023},\n eprint={2307.11224},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":420.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google-t5/t5-base","supersededBy":"jinaai/jina-embeddings-v2-base-en","extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","ELI5","ESCI","Flickr30k","GooAQ","MSMARCO","MsCocoCaptions","NegationDataset","PAQ","QuoraQA","S2ORC","SNLI","SentenceCompression","SimpleWikipedia","Specter","Squad2","StackExchange","Tmdb","TrivialQA","TweetQA","WikiAnswers","WikiHow","Xmarket","YahooAnswers"]},"zeroShotPct":100,"activeParamsB":0.085,"totalParamsB":0.11,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.04316433333333333,"PairClassification":0.7162911760113686,"BitextMining":0.2632677219808752},"scoresByTask":{"SemRel24STS":0.26729508333333335,"FinParaSTS":0.086461,"PolEmo2.0-OUT":0.253036,"JSICK":0.02014,"SwednClusteringP2P":0.149952,"MalteseNewsClassification":0.128994,"CzechProductReviewSentimentClassification":0.432227,"STS13":0.8085907200101076,"IndicCrosslingualSTS":0.030416333333333337,"SprintDuplicateQuestions":0.9548085242816634,"EstonianValenceClassification":0.26088,"STS15":0.8555427877110485,"MLQARetrieval":0.2020637755102041,"HALClusteringS2S.v2":0.18572,"PoemSentimentClassification":0.472738,"BrazilianToxicTweetsClassification":0.15542,"StatcanDialogueDatasetRetrieval":0.1397875,"NordicLangClassification":0.421533,"ArXivHierarchicalClusteringP2P":0.517135,"NusaTranslationBitextMining":0.45598381818181816,"CLSClusteringP2P.v2":0.096526,"SinhalaNewsClassification":0.357178,"StackExchangeClustering.v2":0.455653,"MasakhaNEWSClassification":0.5640675,"NusaX-senti":0.5206875000000001,"CataloniaTweetClassification":0.43406175,"OpusparcusPC":0.8684103333333333,"ArmenianParaphrasePC":0.851965,"KorHateSpeechMLClassification":0.06755,"WikiClusteringP2P.v2":0.2141875,"AmazonCounterfactualClassification":0.610043125,"ArXivHierarchicalClusteringS2S":0.468014,"NepaliNewsClassification":0.438623,"ArguAna":0.49006,"AILAStatutes":0.23112,"ToxicConversationsClassification":0.661456,"IndicGenBenchFloresBitextMining":0.03467725,"CSFDSKMovieReviewSentimentClassification":0.200439,"SiswatiNewsClassification":0.40125,"CEDRClassification":0.354357,"TempReasonL1":0.00656,"BiorxivClusteringP2P.v2":0.364538,"NorwegianCourtsBitextMining":0.842398,"PunjabiNewsClassification":0.530573,"SpartQA":0.06991,"BUCC.v2":0.448135,"BornholmBitextMining":0.301276,"BibleNLPBitextMining":0.02254630374396135,"RTE3":0.8611645,"TERRa":0.48761,"SwahiliNewsClassification":0.456396,"DBpediaClassification":0.822363,"HagridRetrieval":0.98996,"WikiCitiesClustering":0.621369,"Tatoeba":0.0717729732142857,"STS14":0.7612917164308409,"KurdishSentimentClassification":0.5308,"PpcPC":0.683775,"STSBenchmark":0.8257071649593358,"MasakhaNEWSClusteringS2S":0.34019975,"MIRACLRetrievalHardNegatives":0.126855,"NTREXBitextMining":0.18910228340292276,"DalajClassification":0.502703,"SICK-R":0.791378154534123,"NollySentiBitextMining":0.28354625,"SCIDOCS":0.17626,"IsiZuluNewsClassification":0.215824,"TwitterHjerneRetrieval":0.04187,"STSB":0.0370015,"STSES":0.695216,"KorSarcasmClassification":0.509033,"WinoGrande":0.54768,"SentimentAnalysisHindi":0.343603,"RuBQReranking":0.295672,"CyrillicTurkicLangClassification":0.289746,"FilipinoShopeeReviewsClassification":0.250757,"STS22.v2":0.4954819444444445,"RomaniBibleClustering":0.328941,"MacedonianTweetSentimentClassification":0.320808,"AfriSentiClassification":0.35872449999999995,"STS12":0.7506080146054281,"LegalBenchCorporateLobbying":0.89243,"TweetTopicSingleClassification":0.6544,"T2Reranking":0.541855,"GreekLegalCodeClassification":0.012524500000000001,"SlovakMovieReviewSentimentClassification":0.493164,"FaroeseSTS":0.601788,"SwissJudgementClassification":0.4936993333333333,"TwitterURLCorpus":0.8533305785100573,"TRECCOVID":0.60571,"IndicLangClassification":0.102923,"GujaratiNewsClassification":0.523824,"ItaCaseholdClassification":0.536652,"FloresBitextMining":0.11923688863131458,"Robust04InstructionRetrieval":-0.093283,"BulgarianStoreReviewSentimentClassfication":0.252198,"OdiaNewsClassification":0.513001,"TswanaNewsClassification":0.205955,"PlscClusteringP2P.v2":0.62734,"FinancialPhrasebankClassification":0.618507,"News21InstructionRetrieval":-0.033253,"StackOverflowQA":0.77214,"Core17InstructionRetrieval":-0.002957,"WebLINXCandidatesReranking":0.10536466666666666,"PAC":0.555807,"VoyageMMarcoReranking":0.161368,"MedrxivClusteringP2P.v2":0.339342,"GermanSTSBenchmark":0.710297,"AlloprofReranking":0.664294,"AlloProfClusteringS2S.v2":0.3065,"ScalaClassification":0.50098875,"indonli":0.511614,"IN22GenBitextMining":0.09884634584980237,"CovidRetrieval":0.00077,"BigPatentClustering.v2":0.280884,"PawsXPairClassification":0.5242837142857143,"NusaXBitextMining":0.19401027272727275,"NusaParagraphEmotionClassification":0.2429453,"LEMBPasskeyRetrieval":0.38,"CTKFactsNLI":0.7160205,"DiaBlaBitextMining":0.360949,"IndonesianIdClickbaitClassification":0.549371,"XNLI":0.5662207857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":156,"model":{"name":"mongodb/voyage-large-2-instruct","url":"https://blog.voyageai.com/2024/05/05/voyage-large-2-instruct-instruction-tuned-and-rank-1-on-mteb/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":16000.0,"releaseDate":"2024-05-05","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":16000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7012552102576309,"PairClassification":0.7781681753246754,"BitextMining":0.4684301272257327},"scoresByTask":{"SemRel24STS":0.56074925,"FinParaSTS":0.175537,"PolEmo2.0-OUT":0.338866,"JSICK":0.812746,"SwednClusteringP2P":0.394387,"CzechProductReviewSentimentClassification":0.560498,"STS13":0.849568,"IndicCrosslingualSTS":0.0688005,"SprintDuplicateQuestions":0.958253,"WikipediaRerankingMultilingual":0.84881525,"EstonianValenceClassification":0.392665,"STS15":0.876434,"HALClusteringS2S.v2":0.285221,"PoemSentimentClassification":0.568425,"BrazilianToxicTweetsClassification":0.171533,"STS17":0.7488503636363636,"NordicLangClassification":0.5716,"ArXivHierarchicalClusteringP2P":0.58827,"NusaTranslationBitextMining":0.5803091818181818,"MassiveIntentClassification":0.5105573823529411,"WikipediaRetrievalMultilingual":0.838710625,"StackExchangeClustering.v2":0.574236,"NusaX-senti":0.6399583333333333,"CataloniaTweetClassification":0.502607,"OpusparcusPC":0.929509,"ArmenianParaphrasePC":0.921954,"KorHateSpeechMLClassification":0.069072,"WikiClusteringP2P.v2":0.27841657142857146,"AmazonCounterfactualClassification":0.7731615000000001,"ArXivHierarchicalClusteringS2S":0.582597,"NepaliNewsClassification":0.885352,"ArguAna":0.58613,"AILAStatutes":0.40747,"ToxicConversationsClassification":0.693896,"IndicGenBenchFloresBitextMining":0.24984043103448278,"CSFDSKMovieReviewSentimentClassification":0.371436,"SiswatiNewsClassification":0.58875,"CEDRClassification":0.450319,"TempReasonL1":0.01098,"BiorxivClusteringP2P.v2":0.443318,"NorwegianCourtsBitextMining":0.899123,"SpartQA":0.00303,"BUCC.v2":0.9758037500000001,"BornholmBitextMining":0.346589,"BibleNLPBitextMining":0.0715018466183575,"SIB200ClusteringS2S":0.252623076142132,"RTE3":0.8802525,"TERRa":0.564331,"DBpediaClassification":0.897363,"HagridRetrieval":0.9887,"MultiHateClassification":0.6306545454545455,"Tatoeba":0.42785308928571425,"STS14":0.826724,"KurdishSentimentClassification":0.619678,"PpcPC":0.887777,"STSBenchmark":0.875854,"MasakhaNEWSClusteringS2S":0.38759925,"NTREXBitextMining":0.4912096450939457,"DalajClassification":0.500338,"SICK-R":0.819215,"NollySentiBitextMining":0.31134475,"SCIDOCS":0.24323,"IsiZuluNewsClassification":0.262633,"TwitterHjerneRetrieval":0.79503,"STSB":0.805545,"STSES":0.788201,"KorSarcasmClassification":0.576514,"WinoGrande":0.28753,"SentimentAnalysisHindi":0.47186,"RuBQReranking":0.705939,"CyrillicTurkicLangClassification":0.486719,"FilipinoShopeeReviewsClassification":0.36911649999999996,"STS22.v2":0.7029587777777777,"RomaniBibleClustering":0.395794,"MacedonianTweetSentimentClassification":0.505004,"AfriSentiClassification":0.43200299999999997,"STS12":0.7333804727079534,"LegalBenchCorporateLobbying":0.95323,"TweetTopicSingleClassification":0.695334,"SlovakMovieReviewSentimentClassification":0.830469,"FaroeseSTS":0.735071,"SwissJudgementClassification":0.5696466666666667,"TwitterURLCorpus":0.886603,"TRECCOVID":0.85067,"IndicLangClassification":0.703981,"GujaratiNewsClassification":0.540516,"FloresBitextMining":0.32156788498502853,"BulgarianStoreReviewSentimentClassfication":0.672527,"OdiaNewsClassification":0.478969,"PlscClusteringP2P.v2":0.708681,"FinancialPhrasebankClassification":0.826855,"PAC":0.65349,"VoyageMMarcoReranking":0.538107,"MedrxivClusteringP2P.v2":0.395766,"GermanSTSBenchmark":0.840449,"AlloProfClusteringS2S.v2":0.480368,"ScalaClassification":0.503833,"indonli":0.509135,"IN22GenBitextMining":0.17629316600790512,"PawsXPairClassification":0.5914977857142858,"NusaXBitextMining":0.49863690909090913,"CTKFactsNLI":0.789528,"DiaBlaBitextMining":0.739519,"IndonesianIdClickbaitClassification":0.574156,"XNLI":0.6410096428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":157,"model":{"name":"izhx/udever-bloom-1b1","url":"https://huggingface.co/izhx/udever-bloom-1b1","zeroShotPct":100,"activeParamsB":0.68,"totalParamsB":1.065,"embeddingDim":null,"maxTokens":null,"releaseDate":"2023-10-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Akan","Arabic","Assamese","Bambara","Basque","Bengali","Catalan","Chinese","English","Fon","French","Ganda","Gujarati","Hindi","Igbo","Indonesian","Kannada","Kikuyu","Kinyarwanda","Lingala","Malayalam","Marathi","Nepali (macrolanguage)","Nyanja","Oriya (macrolanguage)","Panjabi","Pedi","Portuguese","Rundi","Shona","Southern Sotho","Spanish","Swahili (macrolanguage)","Tamil","Telugu","Tsonga","Tswana","Tumbuka","Twi","Urdu","Vietnamese","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@article{zhang2023language,\n title={Language Models are Universal Embedders},\n author={Zhang, Xin and Li, Zehan and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Zhang, Min},\n journal={arXiv preprint arXiv:2310.08232},\n year={2023}\n}","memoryUsageMb":null,"license":"https://huggingface.co/spaces/bigscience/license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"bigscience/bloom-1b1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.68,"totalParamsB":1.065,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.011026666666666666,"Reranking":0.37018195524280967,"PairClassification":0.7283264496486762,"BitextMining":0.20466889636225558},"scoresByTask":{"SemRel24STS":0.43599191666666665,"FinParaSTS":0.0040245,"PolEmo2.0-OUT":0.326721,"JSICK":0.578371,"SwednClusteringP2P":0.0775145,"MalteseNewsClassification":0.165651,"CzechProductReviewSentimentClassification":0.411621,"STS13":0.8361682237930194,"IndicCrosslingualSTS":0.10652808333333334,"SprintDuplicateQuestions":0.9473016642953513,"WikipediaRerankingMultilingual":0.5873819375,"EstonianValenceClassification":0.286186,"STS15":0.8641326579037185,"MLQARetrieval":0.200269693877551,"HALClusteringS2S.v2":0.128164,"PoemSentimentClassification":0.443521,"BrazilianToxicTweetsClassification":0.199219,"STS17":0.6535248256736564,"NordicLangClassification":0.5931,"ArXivHierarchicalClusteringP2P":0.584693,"NusaTranslationBitextMining":0.29033963636363636,"CLSClusteringP2P.v2":0.359314,"WikipediaRetrievalMultilingual":0.219188125,"SinhalaNewsClassification":0.419824,"StackExchangeClustering.v2":0.460414,"NusaX-senti":0.5764375,"CataloniaTweetClassification":0.48711550000000003,"OpusparcusPC":0.8660945,"ArmenianParaphrasePC":0.899392,"KorHateSpeechMLClassification":0.045655,"ArXivHierarchicalClusteringS2S":0.517698,"NepaliNewsClassification":0.93667,"ArguAna":0.46671,"AILAStatutes":0.20961,"ToxicConversationsClassification":0.720118,"IndicGenBenchFloresBitextMining":0.3097232844827586,"CSFDSKMovieReviewSentimentClassification":0.212695,"SiswatiNewsClassification":0.73625,"CEDRClassification":0.317747,"TempReasonL1":0.002,"BiorxivClusteringP2P.v2":0.390152,"NorwegianCourtsBitextMining":0.795906,"PunjabiNewsClassification":0.80828,"SpartQA":0.00114,"BUCC.v2":0.055437749999999994,"BornholmBitextMining":0.219071,"BibleNLPBitextMining":0.013339938405797102,"SIB200ClusteringS2S":0.0561509695431472,"RTE3":0.8682617499999999,"TERRa":0.508628,"SwahiliNewsClassification":0.629492,"DBpediaClassification":0.915918,"HagridRetrieval":0.90647,"MultiHateClassification":0.5720545454545455,"Tatoeba":0.2857465430984378,"STS14":0.7873277873007593,"KurdishSentimentClassification":0.571112,"PpcPC":0.665559,"STSBenchmark":0.8578865814488006,"MasakhaNEWSClusteringS2S":0.3133388125,"MIRACLRetrievalHardNegatives":0.058451111111111106,"NTREXBitextMining":0.06702065605427975,"DalajClassification":0.498874,"SICK-R":0.7991790376084446,"NollySentiBitextMining":0.1706845,"SCIDOCS":0.17235,"BelebeleRetrieval":0.12866856382978722,"IsiZuluNewsClassification":0.244947,"TwitterHjerneRetrieval":0.10372,"STSES":0.616772,"KorSarcasmClassification":0.526953,"WinoGrande":0.02563,"SentimentAnalysisHindi":0.449399,"RuBQReranking":0.231785,"CyrillicTurkicLangClassification":0.767969,"FilipinoShopeeReviewsClassification":0.265332,"RomaniBibleClustering":0.383928,"MacedonianTweetSentimentClassification":0.386918,"AfriSentiClassification":0.3771090833333333,"STS12":0.7579610155624811,"LegalBenchCorporateLobbying":0.75834,"TweetTopicSingleClassification":0.645718,"T2Reranking":0.6594497939568581,"SlovakMovieReviewSentimentClassification":0.530957,"FaroeseSTS":0.379412,"SwissJudgementClassification":0.530852,"TwitterURLCorpus":0.8561513175543741,"TRECCOVID":0.8002800000000001,"IndicLangClassification":0.889312,"GujaratiNewsClassification":0.759863,"ItaCaseholdClassification":0.78009,"FloresBitextMining":0.0342728378006375,"Robust04InstructionRetrieval":-0.033539,"BulgarianStoreReviewSentimentClassfication":0.346703,"OdiaNewsClassification":0.757205,"TswanaNewsClassification":0.263039,"PlscClusteringP2P.v2":0.628559,"FinancialPhrasebankClassification":0.648233,"News21InstructionRetrieval":-0.00244,"Core17InstructionRetrieval":0.002899,"WebLINXCandidatesReranking":0.084928,"PAC":0.644367,"VoyageMMarcoReranking":0.271585,"MedrxivClusteringP2P.v2":0.363676,"GermanSTSBenchmark":0.4267155,"AlloprofReranking":0.385962,"AlloProfClusteringS2S.v2":0.182975,"ScalaClassification":0.50363775,"indonli":0.523373,"IN22GenBitextMining":0.16328869367588933,"CovidRetrieval":0.6814199999999999,"PawsXPairClassification":0.5952839285714286,"NusaXBitextMining":0.2262568181818182,"NusaParagraphEmotionClassification":0.37869450000000004,"CTKFactsNLI":0.700568,"DiaBlaBitextMining":0.029607994646068406,"IndonesianIdClickbaitClassification":0.571434,"XNLI":0.5809777857142857},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":158,"model":{"name":"Mihaiii/Venusaur","url":"https://huggingface.co/Mihaiii/Venusaur","zeroShotPct":-1,"activeParamsB":0.004,"totalParamsB":0.016,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":60.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Mihaiii/test14","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.004,"totalParamsB":0.016,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.014697666666666664,"MultilabelClassification":0.1351648608695652,"Classification":0.47656720070096487,"Retrieval":0.25637596571232907,"Reranking":0.38307807638888886,"Clustering":0.3214955989677756,"PairClassification":0.7127115315484289,"BitextMining":0.19160900441825862},"scoresByTask":{"SemRel24STS":0.36452850000000003,"FinParaSTS":0.06589300000000001,"PolEmo2.0-OUT":0.306478,"JSICK":0.628498,"SwednClusteringP2P":0.126201,"MalteseNewsClassification":0.143143,"CzechProductReviewSentimentClassification":0.435986,"STS13":0.7424315395719762,"IndicCrosslingualSTS":-0.010356749999999998,"SprintDuplicateQuestions":0.8943047814044381,"WikipediaRerankingMultilingual":0.6786831249999999,"EstonianValenceClassification":0.29022,"STS15":0.7573762657362906,"MLQARetrieval":0.09097948979591837,"HALClusteringS2S.v2":0.098973,"PoemSentimentClassification":0.512349,"BrazilianToxicTweetsClassification":0.146533,"StatcanDialogueDatasetRetrieval":0.045745,"NordicLangClassification":0.575133,"ArXivHierarchicalClusteringP2P":0.52231,"NusaTranslationBitextMining":0.5250492727272728,"MassiveIntentClassification":0.34505809803921567,"CLSClusteringP2P.v2":0.129983,"WikipediaRetrievalMultilingual":0.35870375,"SinhalaNewsClassification":0.357373,"StackExchangeClustering.v2":0.44258,"MasakhaNEWSClassification":0.5509656875,"NusaX-senti":0.5385416666666667,"CataloniaTweetClassification":0.438121,"OpusparcusPC":0.8732337499999999,"ArmenianParaphrasePC":0.873527,"KorHateSpeechMLClassification":0.025037,"WikiClusteringP2P.v2":0.20898507142857142,"AmazonCounterfactualClassification":0.6837148749999999,"ArXivHierarchicalClusteringS2S":0.499912,"NepaliNewsClassification":0.447656,"ArguAna":0.348,"AILAStatutes":0.17573,"ToxicConversationsClassification":0.644091796875,"IndicGenBenchFloresBitextMining":0.013219379310344826,"CSFDSKMovieReviewSentimentClassification":0.215771,"SiswatiNewsClassification":0.74375,"CEDRClassification":0.33762,"TempReasonL1":0.0064,"BiorxivClusteringP2P.v2":0.331241,"NorwegianCourtsBitextMining":0.89693,"PunjabiNewsClassification":0.60828,"SpartQA":0.13681,"BUCC.v2":0.04703325,"BornholmBitextMining":0.35002,"BibleNLPBitextMining":0.006872602053140097,"SIB200ClusteringS2S":0.04101413705583756,"RTE3":0.8556827499999999,"TERRa":0.473662,"SwahiliNewsClassification":0.457861,"DBpediaClassification":0.907129,"HagridRetrieval":0.96171,"MultiHateClassification":0.5467272727272727,"WikiCitiesClustering":0.612461,"Tatoeba":0.0337544375,"STS14":0.6999484176761607,"KurdishSentimentClassification":0.575189,"PpcPC":0.722335,"STSBenchmark":0.7672196352753278,"MasakhaNEWSClusteringS2S":0.342702375,"MIRACLRetrievalHardNegatives":0.08630611111111111,"NTREXBitextMining":0.08936336899791232,"DalajClassification":0.502252,"SICK-R":0.7468461406509038,"NollySentiBitextMining":0.2568125,"SCIDOCS":0.09390000000000001,"BelebeleRetrieval":0.13230303191489362,"IsiZuluNewsClassification":0.248271,"TwitterHjerneRetrieval":0.06968,"STSB":0.3717725,"STSES":0.641691,"KorSarcasmClassification":0.531787,"WinoGrande":0.28994,"SentimentAnalysisHindi":0.357796,"RuBQReranking":0.23871,"CyrillicTurkicLangClassification":0.619824,"FilipinoShopeeReviewsClassification":0.28889200000000004,"STS22.v2":0.3637015,"RomaniBibleClustering":0.349152,"MacedonianTweetSentimentClassification":0.364355,"AfriSentiClassification":0.37814125000000004,"STS12":0.5434570729554049,"LegalBenchCorporateLobbying":0.74779,"TweetTopicSingleClassification":0.582575,"MultiEURLEXMultilabelClassification":0.02349130434782609,"T2Reranking":0.609939,"GreekLegalCodeClassification":0.050586,"SlovakMovieReviewSentimentClassification":0.53418,"FaroeseSTS":0.649114,"SwissJudgementClassification":0.5705153333333334,"TwitterURLCorpus":0.8333289584854239,"TRECCOVID":0.30272,"IndicLangClassification":0.474778,"GujaratiNewsClassification":0.400303,"ItaCaseholdClassification":0.566516,"FloresBitextMining":0.05051947807398822,"Robust04InstructionRetrieval":-0.062565,"BulgarianStoreReviewSentimentClassfication":0.327473,"OdiaNewsClassification":0.607688,"TswanaNewsClassification":0.258111,"PlscClusteringP2P.v2":0.615336,"FinancialPhrasebankClassification":0.730124,"News21InstructionRetrieval":0.023955,"StackOverflowQA":0.43349,"Core17InstructionRetrieval":-0.005483,"WebLINXCandidatesReranking":0.09012333333333333,"PAC":0.571822,"VoyageMMarcoReranking":0.28594,"MedrxivClusteringP2P.v2":0.313147,"GermanSTSBenchmark":0.6374029999999999,"AlloprofReranking":0.395073,"AlloProfClusteringS2S.v2":0.203481,"ScalaClassification":0.50062225,"indonli":0.486954,"IN22GenBitextMining":0.033666586956521735,"CovidRetrieval":0.06206,"BigPatentClustering.v2":0.306451,"PawsXPairClassification":0.5212954285714285,"NusaXBitextMining":0.1397311818181818,"NusaParagraphEmotionClassification":0.3034814,"LEMBPasskeyRetrieval":0.2725,"CTKFactsNLI":0.732077,"DiaBlaBitextMining":0.047945,"IndonesianIdClickbaitClassification":0.541901,"XNLI":0.5734261785714285},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":159,"model":{"name":"Snowflake/snowflake-arctic-embed-xs","url":"https://huggingface.co/Snowflake/snowflake-arctic-embed-xs","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-07-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{merrick2024embedding,\n title={Embedding And Clustering Your Data Can Improve Contrastive Pretraining},\n author={Merrick, Luke},\n journal={arXiv preprint arXiv:2407.18887},\n year={2024},\n eprint={2407.18887},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2407.18887}\n}","memoryUsageMb":86.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/all-MiniLM-L6-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.023616333333333336,"MultilabelClassification":0.13350231304347826,"Classification":0.4521153528251046,"Retrieval":0.35229848510464074,"Reranking":0.39685528124999997,"Clustering":0.35341697008929873,"PairClassification":0.7104008532790419,"BitextMining":0.2012335120662677},"scoresByTask":{"SemRel24STS":0.35353691666666665,"FinParaSTS":0.14986349999999998,"PolEmo2.0-OUT":0.208907,"JSICK":0.57476,"SwednClusteringP2P":0.15488600000000002,"MalteseNewsClassification":0.10653,"CzechProductReviewSentimentClassification":0.435059,"STS13":0.7786961921643416,"IndicCrosslingualSTS":0.09644141666666667,"SprintDuplicateQuestions":0.949637560003136,"WikipediaRerankingMultilingual":0.6731341875,"EstonianValenceClassification":0.283619,"STS15":0.834885552472602,"MLQARetrieval":0.16823489795918367,"HALClusteringS2S.v2":0.155736,"PoemSentimentClassification":0.47702849999999997,"BrazilianToxicTweetsClassification":0.20542,"StatcanDialogueDatasetRetrieval":0.175785,"NordicLangClassification":0.495167,"ArXivHierarchicalClusteringP2P":0.549722,"NusaTranslationBitextMining":0.5692601818181818,"MassiveIntentClassification":0.2480184411764706,"CLSClusteringP2P.v2":0.115817,"WikipediaRetrievalMultilingual":0.44084,"SinhalaNewsClassification":0.398682,"StackExchangeClustering.v2":0.534311,"MasakhaNEWSClassification":0.580588625,"NusaX-senti":0.5445,"CataloniaTweetClassification":0.44191199999999997,"OpusparcusPC":0.8501916666666666,"ArmenianParaphrasePC":0.874217,"KorHateSpeechMLClassification":0.023859,"WikiClusteringP2P.v2":0.22380335714285712,"AmazonCounterfactualClassification":0.590450625,"ArXivHierarchicalClusteringS2S":0.516956,"NepaliNewsClassification":0.455566,"ArguAna":0.52081,"AILAStatutes":0.23364,"ToxicConversationsClassification":0.6430500000000001,"IndicGenBenchFloresBitextMining":0.013734758620689656,"CSFDSKMovieReviewSentimentClassification":0.20957,"SiswatiNewsClassification":0.4825,"CEDRClassification":0.310893,"TempReasonL1":0.01126,"BiorxivClusteringP2P.v2":0.352493,"NorwegianCourtsBitextMining":0.857018,"PunjabiNewsClassification":0.570064,"SpartQA":0.03013,"BUCC.v2":0.07929975,"BornholmBitextMining":0.264879,"BibleNLPBitextMining":0.008637731280193238,"SIB200ClusteringS2S":0.054970091370558374,"RTE3":0.85363575,"TERRa":0.467524,"SwahiliNewsClassification":0.400928,"DBpediaClassification":0.864014,"HagridRetrieval":0.98915,"MultiHateClassification":0.5389363636363637,"WikiCitiesClustering":0.8146426354153643,"Tatoeba":0.029695169642857143,"STS14":0.7281574657995401,"KurdishSentimentClassification":0.599547,"PpcPC":0.700869,"STSBenchmark":0.7918395553127086,"MasakhaNEWSClusteringS2S":0.3699814375,"MIRACLRetrievalHardNegatives":0.14019222222222222,"NTREXBitextMining":0.13159407724425887,"DalajClassification":0.50045,"SICK-R":0.6925663754345259,"NollySentiBitextMining":0.25604175,"SCIDOCS":0.18355,"BelebeleRetrieval":0.23103061170212766,"IsiZuluNewsClassification":0.24016,"TwitterHjerneRetrieval":0.06904,"STSB":0.2895485,"STSES":0.655992,"KorSarcasmClassification":0.530615,"WinoGrande":0.34811,"SentimentAnalysisHindi":0.378801,"RuBQReranking":0.252433,"CyrillicTurkicLangClassification":0.458447,"FilipinoShopeeReviewsClassification":0.2674805,"STS22.v2":0.38143422222222223,"RomaniBibleClustering":0.368946,"MacedonianTweetSentimentClassification":0.292976,"AfriSentiClassification":0.3858709166666667,"STS12":0.6589916377105551,"LegalBenchCorporateLobbying":0.92724,"TweetTopicSingleClassification":0.645954,"MultiEURLEXMultilabelClassification":0.020809565217391305,"T2Reranking":0.572764,"GreekLegalCodeClassification":0.020703,"SlovakMovieReviewSentimentClassification":0.545117,"FaroeseSTS":0.632802,"SwissJudgementClassification":0.525318,"TwitterURLCorpus":0.8470041593996576,"TRECCOVID":0.79431,"IndicLangClassification":0.402456,"GujaratiNewsClassification":0.466692,"ItaCaseholdClassification":0.614027,"FloresBitextMining":0.07918120861103062,"Robust04InstructionRetrieval":-0.061265,"BulgarianStoreReviewSentimentClassfication":0.297802,"OdiaNewsClassification":0.559012,"TswanaNewsClassification":0.25154,"PlscClusteringP2P.v2":0.588729,"FinancialPhrasebankClassification":0.677871,"News21InstructionRetrieval":-0.003875,"StackOverflowQA":0.82763,"Core17InstructionRetrieval":-0.005709,"WebLINXCandidatesReranking":0.0753455,"PAC":0.614335,"VoyageMMarcoReranking":0.216964,"MedrxivClusteringP2P.v2":0.335661,"GermanSTSBenchmark":0.564912,"AlloprofReranking":0.590491,"AlloProfClusteringS2S.v2":0.248921,"ScalaClassification":0.500293,"indonli":0.482116,"IN22GenBitextMining":0.023477575098814228,"CovidRetrieval":0.00542,"BigPatentClustering.v2":0.269096,"PawsXPairClassification":0.5216705,"NusaXBitextMining":0.23229945454545453,"NusaParagraphEmotionClassification":0.2626102,"LEMBPasskeyRetrieval":0.245,"CTKFactsNLI":0.7050460000000001,"DiaBlaBitextMining":0.070917,"IndonesianIdClickbaitClassification":0.534322,"XNLI":0.56249775},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":160,"model":{"name":"izhx/udever-bloom-7b1","url":"https://huggingface.co/izhx/udever-bloom-7b1","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":null,"maxTokens":null,"releaseDate":"2023-10-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Akan","Arabic","Assamese","Bambara","Basque","Bengali","Catalan","Chinese","English","Fon","French","Ganda","Gujarati","Hindi","Igbo","Indonesian","Kannada","Kikuyu","Kinyarwanda","Lingala","Malayalam","Marathi","Nepali (macrolanguage)","Nyanja","Oriya (macrolanguage)","Panjabi","Pedi","Portuguese","Rundi","Shona","Southern Sotho","Spanish","Swahili (macrolanguage)","Tamil","Telugu","Tsonga","Tswana","Tumbuka","Twi","Urdu","Vietnamese","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@article{zhang2023language,\n title={Language Models are Universal Embedders},\n author={Zhang, Xin and Li, Zehan and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Zhang, Min},\n journal={arXiv preprint arXiv:2310.08232},\n year={2023}\n}","memoryUsageMb":null,"license":"https://huggingface.co/spaces/bigscience/license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"bigscience/bloom-7b1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.013212333333333333,"PairClassification":0.7329982774969213,"BitextMining":0.18599961556619074},"scoresByTask":{"SemRel24STS":0.44425441666666665,"FinParaSTS":0.015883,"PolEmo2.0-OUT":0.332591,"JSICK":0.594606,"SwednClusteringP2P":0.0508005,"MalteseNewsClassification":0.121027,"CzechProductReviewSentimentClassification":0.415527,"STS13":0.8637854318479079,"IndicCrosslingualSTS":-0.0357945,"SprintDuplicateQuestions":0.9561939598272275,"WikipediaRerankingMultilingual":0.573075125,"EstonianValenceClassification":0.290709,"STS15":0.8823398394823562,"MLQARetrieval":0.14671714285714285,"HALClusteringS2S.v2":0.137058,"PoemSentimentClassification":0.44009149999999997,"BrazilianToxicTweetsClassification":0.202344,"NordicLangClassification":0.614933,"ArXivHierarchicalClusteringP2P":0.589684,"NusaTranslationBitextMining":0.336913,"MassiveIntentClassification":0.46634870588235294,"CLSClusteringP2P.v2":0.317,"WikipediaRetrievalMultilingual":0.21853125,"SinhalaNewsClassification":0.442139,"StackExchangeClustering.v2":0.45628,"NusaX-senti":0.5938541666666667,"CataloniaTweetClassification":0.48416575,"OpusparcusPC":0.8751038333333333,"ArmenianParaphrasePC":0.894895,"KorHateSpeechMLClassification":0.047128,"AmazonCounterfactualClassification":0.6914432500000001,"ArXivHierarchicalClusteringS2S":0.520937,"NepaliNewsClassification":0.891309,"ArguAna":0.52207,"AILAStatutes":0.23878,"ToxicConversationsClassification":0.715842,"IndicGenBenchFloresBitextMining":0.08143643103448275,"CSFDSKMovieReviewSentimentClassification":0.215918,"SiswatiNewsClassification":0.7375,"CEDRClassification":0.301169,"TempReasonL1":0.00023,"BiorxivClusteringP2P.v2":0.380365,"NorwegianCourtsBitextMining":0.764557,"PunjabiNewsClassification":0.747134,"SpartQA":0.00032,"BUCC.v2":0.07237175,"BornholmBitextMining":0.178637,"BibleNLPBitextMining":0.015867164855072464,"SIB200ClusteringS2S":0.04521445685279187,"RTE3":0.86880125,"TERRa":0.50211,"SwahiliNewsClassification":0.636035,"DBpediaClassification":0.919189,"HagridRetrieval":0.83507,"MultiHateClassification":0.581509090909091,"Tatoeba":0.3519633598610548,"STS14":0.8117166984686445,"KurdishSentimentClassification":0.559688,"PpcPC":0.685667,"STSBenchmark":0.8802311088852668,"MasakhaNEWSClusteringS2S":0.309814375,"NTREXBitextMining":0.07139855949895617,"DalajClassification":0.500901,"SICK-R":0.814067321748142,"NollySentiBitextMining":0.1424825,"SCIDOCS":0.18944,"BelebeleRetrieval":0.10870156914893617,"IsiZuluNewsClassification":0.243484,"TwitterHjerneRetrieval":0.03119,"STSES":0.630798,"KorSarcasmClassification":0.537207,"WinoGrande":0.00373,"SentimentAnalysisHindi":0.485071,"RuBQReranking":0.273162,"CyrillicTurkicLangClassification":0.773193,"FilipinoShopeeReviewsClassification":0.275513,"RomaniBibleClustering":0.387377,"MacedonianTweetSentimentClassification":0.374627,"AfriSentiClassification":0.38311091666666663,"STS12":0.7747310329678291,"LegalBenchCorporateLobbying":0.71981,"TweetTopicSingleClassification":0.629947,"T2Reranking":0.6787990805824984,"SlovakMovieReviewSentimentClassification":0.536182,"FaroeseSTS":0.370798,"SwissJudgementClassification":0.5302013333333333,"TwitterURLCorpus":0.867769866448429,"TRECCOVID":0.8381799999999999,"IndicLangClassification":0.914077,"GujaratiNewsClassification":0.740592,"ItaCaseholdClassification":0.88552,"FloresBitextMining":0.03707199007534048,"Robust04InstructionRetrieval":-0.018442,"BulgarianStoreReviewSentimentClassfication":0.346703,"OdiaNewsClassification":0.721054,"TswanaNewsClassification":0.271663,"PlscClusteringP2P.v2":0.641811,"FinancialPhrasebankClassification":0.683878,"News21InstructionRetrieval":-0.004785,"Core17InstructionRetrieval":-0.01641,"PAC":0.662902,"VoyageMMarcoReranking":0.271201,"MedrxivClusteringP2P.v2":0.346608,"GermanSTSBenchmark":0.4353245,"AlloProfClusteringS2S.v2":0.220349,"ScalaClassification":0.5062012499999999,"indonli":0.519196,"IN22GenBitextMining":0.0952450652173913,"CovidRetrieval":0.68855,"PawsXPairClassification":0.6012942142857144,"NusaXBitextMining":0.16392018181818183,"NusaParagraphEmotionClassification":0.3957786,"CTKFactsNLI":0.7068465,"DiaBlaBitextMining":0.106131,"IndonesianIdClickbaitClassification":0.570746,"XNLI":0.5851034285714285},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":161,"model":{"name":"izhx/udever-bloom-3b","url":"https://huggingface.co/izhx/udever-bloom-3b","zeroShotPct":100,"activeParamsB":2.36,"totalParamsB":3.003,"embeddingDim":null,"maxTokens":null,"releaseDate":"2023-10-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Akan","Arabic","Assamese","Bambara","Basque","Bengali","Catalan","Chinese","English","Fon","French","Ganda","Gujarati","Hindi","Igbo","Indonesian","Kannada","Kikuyu","Kinyarwanda","Lingala","Malayalam","Marathi","Nepali (macrolanguage)","Nyanja","Oriya (macrolanguage)","Panjabi","Pedi","Portuguese","Rundi","Shona","Southern Sotho","Spanish","Swahili (macrolanguage)","Tamil","Telugu","Tsonga","Tswana","Tumbuka","Twi","Urdu","Vietnamese","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@article{zhang2023language,\n title={Language Models are Universal Embedders},\n author={Zhang, Xin and Li, Zehan and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Zhang, Min},\n journal={arXiv preprint arXiv:2310.08232},\n year={2023}\n}","memoryUsageMb":null,"license":"https://huggingface.co/spaces/bigscience/license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"bigscience/bloom-3b","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":2.36,"totalParamsB":3.003,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.007465333333333334,"Reranking":0.3572073133726213,"PairClassification":0.7289780210451275,"BitextMining":0.13786938494568396},"scoresByTask":{"SemRel24STS":0.39279591666666663,"FinParaSTS":0.029091500000000003,"PolEmo2.0-OUT":0.326316,"JSICK":0.56371,"SwednClusteringP2P":0.086752,"MalteseNewsClassification":0.173182,"CzechProductReviewSentimentClassification":0.418018,"STS13":0.8549051395372348,"IndicCrosslingualSTS":-0.041431166666666665,"SprintDuplicateQuestions":0.9548335466728275,"WikipediaRerankingMultilingual":0.5700844375,"EstonianValenceClassification":0.287775,"STS15":0.877540379885978,"MLQARetrieval":0.10218520408163265,"HALClusteringS2S.v2":0.11019,"PoemSentimentClassification":0.4229945,"BrazilianToxicTweetsClassification":0.18877,"NordicLangClassification":0.598167,"ArXivHierarchicalClusteringP2P":0.579727,"NusaTranslationBitextMining":0.2290128181818182,"MassiveIntentClassification":0.4369756862745098,"CLSClusteringP2P.v2":0.31276,"WikipediaRetrievalMultilingual":0.190088125,"SinhalaNewsClassification":0.451367,"StackExchangeClustering.v2":0.456579,"NusaX-senti":0.5675625,"CataloniaTweetClassification":0.48875925,"OpusparcusPC":0.8686660833333333,"ArmenianParaphrasePC":0.903328,"KorHateSpeechMLClassification":0.054099,"AmazonCounterfactualClassification":0.692483125,"ArXivHierarchicalClusteringS2S":0.518769,"NepaliNewsClassification":0.929053,"ArguAna":0.4833,"AILAStatutes":0.21505,"ToxicConversationsClassification":0.721314,"IndicGenBenchFloresBitextMining":0.03786268103448275,"CSFDSKMovieReviewSentimentClassification":0.209619,"SiswatiNewsClassification":0.73,"CEDRClassification":0.339532,"TempReasonL1":0.00113,"BiorxivClusteringP2P.v2":0.371483,"NorwegianCourtsBitextMining":0.733333,"PunjabiNewsClassification":0.767516,"SpartQA":0.00202,"BUCC.v2":0.035669,"BornholmBitextMining":0.1075,"BibleNLPBitextMining":0.0045160489130434784,"SIB200ClusteringS2S":0.044117035532994925,"RTE3":0.86720825,"TERRa":0.507984,"SwahiliNewsClassification":0.626758,"DBpediaClassification":0.91416,"HagridRetrieval":0.64379,"MultiHateClassification":0.5699727272727273,"Tatoeba":0.32478193672122446,"STS14":0.8043502071880916,"KurdishSentimentClassification":0.552491,"PpcPC":0.669422,"STSBenchmark":0.8770682082313391,"MasakhaNEWSClusteringS2S":0.28950625,"NTREXBitextMining":0.037701489561586636,"DalajClassification":0.504617,"SICK-R":0.8084882728439893,"NollySentiBitextMining":0.098953,"SCIDOCS":0.18502,"BelebeleRetrieval":0.06653757978723404,"IsiZuluNewsClassification":0.234707,"TwitterHjerneRetrieval":0.12904,"STSES":0.520415,"KorSarcasmClassification":0.536816,"WinoGrande":0.00089,"SentimentAnalysisHindi":0.455734,"RuBQReranking":0.241457,"CyrillicTurkicLangClassification":0.759668,"FilipinoShopeeReviewsClassification":0.263452,"RomaniBibleClustering":0.375079,"MacedonianTweetSentimentClassification":0.389289,"AfriSentiClassification":0.3703675833333333,"STS12":0.7610288448289814,"LegalBenchCorporateLobbying":0.61921,"TweetTopicSingleClassification":0.646308,"T2Reranking":0.6649332760690612,"SlovakMovieReviewSentimentClassification":0.538037,"FaroeseSTS":0.389574,"SwissJudgementClassification":0.5355673333333333,"TwitterURLCorpus":0.861777422918812,"TRECCOVID":0.8321,"IndicLangClassification":0.911694,"GujaratiNewsClassification":0.747496,"ItaCaseholdClassification":0.793213,"FloresBitextMining":0.018014423162368395,"Robust04InstructionRetrieval":-0.03647,"BulgarianStoreReviewSentimentClassfication":0.346154,"OdiaNewsClassification":0.734866,"TswanaNewsClassification":0.258932,"PlscClusteringP2P.v2":0.629503,"FinancialPhrasebankClassification":0.660601,"News21InstructionRetrieval":0.005454,"Core17InstructionRetrieval":0.00862,"WebLINXCandidatesReranking":0.06125116666666667,"PAC":0.669447,"VoyageMMarcoReranking":0.24459,"MedrxivClusteringP2P.v2":0.350397,"GermanSTSBenchmark":0.435714,"AlloprofReranking":0.360928,"AlloProfClusteringS2S.v2":0.196742,"ScalaClassification":0.50375975,"indonli":0.51514,"IN22GenBitextMining":0.08298915217391305,"CovidRetrieval":0.67569,"PawsXPairClassification":0.6001877142857143,"NusaXBitextMining":0.019533454545454545,"NusaParagraphEmotionClassification":0.385132,"CTKFactsNLI":0.6894905,"DiaBlaBitextMining":0.062435,"IndonesianIdClickbaitClassification":0.588872,"XNLI":0.5807207142857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":162,"model":{"name":"Mihaiii/gte-micro","url":"https://huggingface.co/Mihaiii/gte-micro","zeroShotPct":-1,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":66.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.006,"totalParamsB":0.017,"embeddingDim":384,"maxTokens":512,"meanTask":0.39417658227624247,"meanTaskType":0.33191124859349597,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.01804333333333333,"MultilabelClassification":0.1348751043478261,"Classification":0.4533541724966837,"Retrieval":0.26161306732060435,"Reranking":0.35222834375,"STS":0.5508326704545454,"Clustering":0.344770729990029,"PairClassification":0.7139093061946213,"BitextMining":0.19366117612048658},"scoresByTask":{"SemRel24STS":0.3931609166666667,"FinParaSTS":0.0601665,"PolEmo2.0-OUT":0.284211,"JSICK":0.601827,"SwednClusteringP2P":0.11096500000000001,"MalteseNewsClassification":0.130475,"CzechProductReviewSentimentClassification":0.448584,"STS13":0.816578,"IndicCrosslingualSTS":0.030433916666666668,"SprintDuplicateQuestions":0.9435547438808531,"WikipediaRerankingMultilingual":0.6088885625,"EstonianValenceClassification":0.290098,"STS15":0.849759,"MLQARetrieval":0.0823538775510204,"HALClusteringS2S.v2":0.160619,"PoemSentimentClassification":0.521474,"BrazilianToxicTweetsClassification":0.142822,"StatcanDialogueDatasetRetrieval":0.010947499999999999,"STS17":0.28361372727272727,"NordicLangClassification":0.538067,"ArXivHierarchicalClusteringP2P":0.544466,"NusaTranslationBitextMining":0.5298775454545455,"MassiveIntentClassification":0.25366276470588234,"CLSClusteringP2P.v2":0.112571,"WikipediaRetrievalMultilingual":0.335566875,"SinhalaNewsClassification":0.343652,"StackExchangeClustering.v2":0.537685,"MasakhaNEWSClassification":0.4981646875,"NusaX-senti":0.5591458333333333,"CataloniaTweetClassification":0.44784175,"OpusparcusPC":0.8724438333333334,"ArmenianParaphrasePC":0.872017,"KorHateSpeechMLClassification":0.031811,"WikiClusteringP2P.v2":0.20362092857142858,"AmazonCounterfactualClassification":0.67162875,"ArXivHierarchicalClusteringS2S":0.522401,"NepaliNewsClassification":0.411719,"ArguAna":0.37981,"AILAStatutes":0.16765,"ToxicConversationsClassification":0.661018,"IndicGenBenchFloresBitextMining":0.01834237931034483,"CSFDSKMovieReviewSentimentClassification":0.207275,"SiswatiNewsClassification":0.43,"CEDRClassification":0.347131,"TempReasonL1":0.01351,"BiorxivClusteringP2P.v2":0.331825,"NorwegianCourtsBitextMining":0.891813,"PunjabiNewsClassification":0.556688,"SpartQA":0.10071,"BUCC.v2":0.07843,"BornholmBitextMining":0.320684,"BibleNLPBitextMining":0.007203739734299517,"SIB200ClusteringS2S":0.04254075126903553,"RTE3":0.85995175,"TERRa":0.458472,"SwahiliNewsClassification":0.458887,"DBpediaClassification":0.818945,"HagridRetrieval":0.97733,"MultiHateClassification":0.5455181818181818,"WikiCitiesClustering":0.631657,"Tatoeba":0.03910807142857143,"STS14":0.76658,"KurdishSentimentClassification":0.567187,"PpcPC":0.717063,"STSBenchmark":0.801173,"MasakhaNEWSClusteringS2S":0.362821,"MIRACLRetrievalHardNegatives":0.07912666666666666,"NTREXBitextMining":0.09188007098121086,"DalajClassification":0.498761,"SICK-R":0.769542,"NollySentiBitextMining":0.25124775,"SCIDOCS":0.11194,"BelebeleRetrieval":0.12180029255319148,"IsiZuluNewsClassification":0.229122,"TwitterHjerneRetrieval":0.12194,"STSB":0.3791845,"STSES":0.726503,"KorSarcasmClassification":0.523877,"WinoGrande":0.44665,"SentimentAnalysisHindi":0.363607,"RuBQReranking":0.218218,"CyrillicTurkicLangClassification":0.61709,"FilipinoShopeeReviewsClassification":0.3053225,"STS22.v2":0.30390266666666665,"RomaniBibleClustering":0.367246,"MacedonianTweetSentimentClassification":0.339772,"AfriSentiClassification":0.37437575,"STS12":0.748905,"LegalBenchCorporateLobbying":0.71209,"TweetTopicSingleClassification":0.673361,"MultiEURLEXMultilabelClassification":0.022136521739130437,"T2Reranking":0.525105,"GreekLegalCodeClassification":0.0138425,"SlovakMovieReviewSentimentClassification":0.531006,"FaroeseSTS":0.62116,"SwissJudgementClassification":0.518601,"TwitterURLCorpus":0.8407115766409341,"TRECCOVID":0.41904,"IndicLangClassification":0.372963,"GujaratiNewsClassification":0.411229,"ItaCaseholdClassification":0.458824,"FloresBitextMining":0.046647892736404906,"Robust04InstructionRetrieval":-0.060371,"BulgarianStoreReviewSentimentClassfication":0.314286,"OdiaNewsClassification":0.603342,"TswanaNewsClassification":0.265708,"PlscClusteringP2P.v2":0.623782,"FinancialPhrasebankClassification":0.710292,"News21InstructionRetrieval":0.024016,"StackOverflowQA":0.37575,"Core17InstructionRetrieval":-0.017775,"WebLINXCandidatesReranking":0.0967165,"PAC":0.544802,"VoyageMMarcoReranking":0.2469,"MedrxivClusteringP2P.v2":0.31795,"GermanSTSBenchmark":0.6608335000000001,"AlloprofReranking":0.417542,"AlloProfClusteringS2S.v2":0.238034,"ScalaClassification":0.5009399999999999,"indonli":0.478871,"IN22GenBitextMining":0.02903874901185771,"CovidRetrieval":0.00032,"BigPatentClustering.v2":0.408148,"PawsXPairClassification":0.5234667857142857,"NusaXBitextMining":0.1562840909090909,"NusaParagraphEmotionClassification":0.2622417,"LEMBPasskeyRetrieval":0.2525,"CTKFactsNLI":0.710334,"DiaBlaBitextMining":0.057038,"IndonesianIdClickbaitClassification":0.547097,"XNLI":0.5761166785714286},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":163,"model":{"name":"Mira190/Euler-Legal-Embedding-V1","url":"https://huggingface.co/Mira190/Euler-Legal-Embedding-V1","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":1536.0,"releaseDate":"2025-11-06","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":15618.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":1536,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.074016,"MultilabelClassification":0.22149858260869565},"scoresByTask":{"SemRel24STS":0.63768775,"PolEmo2.0-OUT":0.377935,"MalteseNewsClassification":0.310579,"CzechProductReviewSentimentClassification":0.565723,"STS13":0.867165,"IndicCrosslingualSTS":0.5485978333333333,"SprintDuplicateQuestions":0.970356,"WikipediaRerankingMultilingual":0.894668625,"EstonianValenceClassification":0.404279,"STS15":0.890549,"HALClusteringS2S.v2":0.291805,"BrazilianToxicTweetsClassification":0.209473,"STS17":0.8534215454545454,"NordicLangClassification":0.651967,"ArXivHierarchicalClusteringP2P":0.569891,"CLSClusteringP2P.v2":0.412214,"WikipediaRetrievalMultilingual":0.911414375,"StackExchangeClustering.v2":0.607121,"MasakhaNEWSClassification":0.7972046875,"NusaX-senti":0.6842916666666667,"ArmenianParaphrasePC":0.954403,"KorHateSpeechMLClassification":0.107855,"WikiClusteringP2P.v2":0.2796518571428571,"ArXivHierarchicalClusteringS2S":0.608889,"ArguAna":0.73971,"AILAStatutes":0.9003,"ToxicConversationsClassification":0.685596,"CSFDSKMovieReviewSentimentClassification":0.377002,"CEDRClassification":0.425292,"TempReasonL1":0.01248,"BiorxivClusteringP2P.v2":0.415612,"NorwegianCourtsBitextMining":0.940058,"PunjabiNewsClassification":0.803822,"SpartQA":0.03992,"BUCC.v2":0.98908025,"BornholmBitextMining":0.591697,"SIB200ClusteringS2S":0.3227131979695432,"RTE3":0.870285,"DBpediaClassification":0.905273,"MultiHateClassification":0.6544545454545454,"WikiCitiesClustering":0.880099,"Tatoeba":0.7132857321428572,"STS14":0.822674,"KurdishSentimentClassification":0.749623,"PpcPC":0.893491,"STSBenchmark":0.880437,"NTREXBitextMining":0.834830503131524,"SICK-R":0.839003,"SCIDOCS":0.28317,"BelebeleRetrieval":0.8908861702127661,"WinoGrande":0.42044,"RuBQReranking":0.763254,"CyrillicTurkicLangClassification":0.819434,"STS22.v2":0.7279529444444445,"RomaniBibleClustering":0.427786,"MacedonianTweetSentimentClassification":0.608692,"STS12":0.813218,"LegalBenchCorporateLobbying":0.95332,"MultiEURLEXMultilabelClassification":0.05429391304347826,"SlovakMovieReviewSentimentClassification":0.756494,"TwitterURLCorpus":0.863116,"TRECCOVID":0.90513,"IndicLangClassification":0.717273,"GujaratiNewsClassification":0.84742,"ItaCaseholdClassification":0.724434,"Robust04InstructionRetrieval":0.053586,"BulgarianStoreReviewSentimentClassfication":0.648352,"OdiaNewsClassification":0.837214,"TswanaNewsClassification":0.38809,"PlscClusteringP2P.v2":0.716987,"News21InstructionRetrieval":0.055092,"StackOverflowQA":0.95635,"Core17InstructionRetrieval":0.11337,"VoyageMMarcoReranking":0.7038,"MedrxivClusteringP2P.v2":0.360522,"AlloprofReranking":0.832873,"ScalaClassification":0.50190425,"IN22GenBitextMining":0.788955013833992,"BigPatentClustering.v2":0.317974,"NusaParagraphEmotionClassification":0.5108646,"DiaBlaBitextMining":0.824683},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":164,"model":{"name":"aari1995/German_Semantic_STS_V2","url":"https://huggingface.co/aari1995/German_Semantic_STS_V2","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.336,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2022-11-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["German"],"citation":null,"memoryUsageMb":1281.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"/content/drive/MyDrive/Stanford_NLU/Project/false_friends/gbert_large_sts_only","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.336,"embeddingDim":1024,"maxTokens":512,"meanTask":0.3833097320834196,"meanTaskType":0.32421994567015733,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.025088,"MultilabelClassification":0.15670048695652175,"Classification":0.44156396197197695,"Retrieval":0.21798070300815364,"Reranking":0.31650687152777773,"STS":0.5325718698884286,"Clustering":0.332297936987287,"PairClassification":0.7166592694805195,"BitextMining":0.2287864112107504},"scoresByTask":{"SemRel24STS":0.254116,"FinParaSTS":0.07241249999999999,"PolEmo2.0-OUT":0.361134,"JSICK":0.352201,"SwednClusteringP2P":0.1810005,"MalteseNewsClassification":0.179234,"CzechProductReviewSentimentClassification":0.428467,"STS13":0.850315,"IndicCrosslingualSTS":0.042321916666666674,"SprintDuplicateQuestions":0.845699,"WikipediaRerankingMultilingual":0.5818600625,"EstonianValenceClassification":0.299511,"STS15":0.863155,"MLQARetrieval":0.1240488775510204,"HALClusteringS2S.v2":0.132331,"PoemSentimentClassification":0.40805400000000003,"BrazilianToxicTweetsClassification":0.188623,"StatcanDialogueDatasetRetrieval":0.0119275,"STS17":0.3559545454545454,"NordicLangClassification":0.528133,"ArXivHierarchicalClusteringP2P":0.516332,"NusaTranslationBitextMining":0.5521497272727273,"MassiveIntentClassification":0.24696707843137256,"CLSClusteringP2P.v2":0.074073,"WikipediaRetrievalMultilingual":0.295975,"SinhalaNewsClassification":0.362109,"StackExchangeClustering.v2":0.483474,"MasakhaNEWSClassification":0.5044335,"NusaX-senti":0.5273125,"CataloniaTweetClassification":0.45647475,"OpusparcusPC":0.8654585,"ArmenianParaphrasePC":0.871182,"KorHateSpeechMLClassification":0.033972,"WikiClusteringP2P.v2":0.21187757142857144,"AmazonCounterfactualClassification":0.61512925,"ArXivHierarchicalClusteringS2S":0.497461,"NepaliNewsClassification":0.477246,"ArguAna":0.28395,"AILAStatutes":0.17101,"ToxicConversationsClassification":0.58291,"IndicGenBenchFloresBitextMining":0.07874108620689654,"CSFDSKMovieReviewSentimentClassification":0.217578,"SiswatiNewsClassification":0.715,"CEDRClassification":0.363603,"TempReasonL1":0.00695,"BiorxivClusteringP2P.v2":0.297661,"NorwegianCourtsBitextMining":0.86769,"PunjabiNewsClassification":0.602548,"SpartQA":0.01768,"BUCC.v2":0.3334955,"BornholmBitextMining":0.211702,"BibleNLPBitextMining":0.010422791666666667,"SIB200ClusteringS2S":0.06544985786802031,"RTE3":0.867529,"TERRa":0.482614,"SwahiliNewsClassification":0.420117,"DBpediaClassification":0.896729,"HagridRetrieval":0.95071,"MultiHateClassification":0.5555636363636364,"WikiCitiesClustering":0.650034,"Tatoeba":0.08174391964285714,"STS14":0.812143,"KurdishSentimentClassification":0.57383,"PpcPC":0.803671,"STSBenchmark":0.82564,"MasakhaNEWSClusteringS2S":0.3431060625,"MIRACLRetrievalHardNegatives":0.047015,"NTREXBitextMining":0.15787146033402924,"DalajClassification":0.497973,"SICK-R":0.74191,"NollySentiBitextMining":0.22329975000000002,"SCIDOCS":0.06332,"BelebeleRetrieval":0.1379862765957447,"IsiZuluNewsClassification":0.24375,"TwitterHjerneRetrieval":0.0407,"STSB":0.08543049999999999,"STSES":0.64734,"KorSarcasmClassification":0.533984,"WinoGrande":0.2653,"SentimentAnalysisHindi":0.358542,"RuBQReranking":0.160419,"CyrillicTurkicLangClassification":0.152832,"FilipinoShopeeReviewsClassification":0.27063,"STS22.v2":0.4267297777777778,"RomaniBibleClustering":0.349995,"MacedonianTweetSentimentClassification":0.299122,"AfriSentiClassification":0.372349,"STS12":0.72034,"LegalBenchCorporateLobbying":0.72718,"TweetTopicSingleClassification":0.596161,"MultiEURLEXMultilabelClassification":0.018070434782608696,"T2Reranking":0.531085,"GreekLegalCodeClassification":0.0376465,"SlovakMovieReviewSentimentClassification":0.545312,"FaroeseSTS":0.607511,"SwissJudgementClassification":0.545715,"TwitterURLCorpus":0.815084,"TRECCOVID":0.2834,"IndicLangClassification":0.141489,"GujaratiNewsClassification":0.407436,"ItaCaseholdClassification":0.446154,"FloresBitextMining":0.1228832212885154,"Robust04InstructionRetrieval":-0.096547,"BulgarianStoreReviewSentimentClassfication":0.307143,"OdiaNewsClassification":0.463817,"TswanaNewsClassification":0.224435,"PlscClusteringP2P.v2":0.649322,"FinancialPhrasebankClassification":0.764046,"News21InstructionRetrieval":0.034669,"StackOverflowQA":0.354,"Core17InstructionRetrieval":-0.013386,"WebLINXCandidatesReranking":0.08765816666666666,"PAC":0.653461,"VoyageMMarcoReranking":0.157052,"MedrxivClusteringP2P.v2":0.297785,"GermanSTSBenchmark":0.863629678315869,"AlloprofReranking":0.380967,"AlloProfClusteringS2S.v2":0.23775,"ScalaClassification":0.50075675,"indonli":0.484342,"IN22GenBitextMining":0.07399661660079052,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.329115,"PawsXPairClassification":0.5171897142857144,"NusaXBitextMining":0.12838227272727273,"NusaParagraphEmotionClassification":0.29111739999999997,"LEMBPasskeyRetrieval":0.1425,"CTKFactsNLI":0.7487915,"DiaBlaBitextMining":0.131845,"IndonesianIdClickbaitClassification":0.554132,"XNLI":0.5816912500000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":165,"model":{"name":"Mihaiii/Squirtle","url":"https://huggingface.co/Mihaiii/Squirtle","zeroShotPct":99,"activeParamsB":0.004,"totalParamsB":0.016,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-04-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":60.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Mihaiii/test21","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.004,"totalParamsB":0.016,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.016707000000000003,"MultilabelClassification":0.13819707826086958,"Classification":0.4589108458949965,"Retrieval":0.248471436411444,"Reranking":0.39170084722222215,"Clustering":0.3365669433834527,"PairClassification":0.7052795119944827,"BitextMining":0.18078121013405887},"scoresByTask":{"SemRel24STS":0.3882331666666667,"FinParaSTS":0.101595,"PolEmo2.0-OUT":0.268623,"JSICK":0.639125,"SwednClusteringP2P":0.1625265,"MalteseNewsClassification":0.145799,"CzechProductReviewSentimentClassification":0.442139,"STS13":0.7841580967540903,"IndicCrosslingualSTS":-0.01186491666666667,"SprintDuplicateQuestions":0.8553918872229502,"WikipediaRerankingMultilingual":0.69433625,"EstonianValenceClassification":0.285697,"STS15":0.8200177922226122,"MLQARetrieval":0.08159489795918368,"HALClusteringS2S.v2":0.103957,"PoemSentimentClassification":0.51576,"BrazilianToxicTweetsClassification":0.151416,"StatcanDialogueDatasetRetrieval":0.0334175,"NordicLangClassification":0.553533,"ArXivHierarchicalClusteringP2P":0.527656,"NusaTranslationBitextMining":0.5126664545454546,"MassiveIntentClassification":0.26443133333333335,"CLSClusteringP2P.v2":0.142683,"WikipediaRetrievalMultilingual":0.36318,"SinhalaNewsClassification":0.33667,"StackExchangeClustering.v2":0.485537,"MasakhaNEWSClassification":0.5537991875,"NusaX-senti":0.5667291666666666,"CataloniaTweetClassification":0.43667475,"OpusparcusPC":0.87410225,"ArmenianParaphrasePC":0.875798,"KorHateSpeechMLClassification":0.028621,"WikiClusteringP2P.v2":0.21469435714285715,"AmazonCounterfactualClassification":0.667078875,"ArXivHierarchicalClusteringS2S":0.512098,"NepaliNewsClassification":0.462793,"ArguAna":0.3114,"AILAStatutes":0.21313,"ToxicConversationsClassification":0.6447265625,"IndicGenBenchFloresBitextMining":0.013320103448275862,"CSFDSKMovieReviewSentimentClassification":0.22583,"SiswatiNewsClassification":0.4375,"CEDRClassification":0.341552,"TempReasonL1":0.01085,"BiorxivClusteringP2P.v2":0.328506,"NorwegianCourtsBitextMining":0.902047,"PunjabiNewsClassification":0.594904,"SpartQA":0.05837,"BUCC.v2":0.044597500000000005,"BornholmBitextMining":0.335332,"BibleNLPBitextMining":0.004021094202898551,"SIB200ClusteringS2S":0.03911429949238579,"RTE3":0.8623382500000001,"TERRa":0.455136,"SwahiliNewsClassification":0.434326,"DBpediaClassification":0.835449,"HagridRetrieval":0.94209,"MultiHateClassification":0.5411181818181818,"WikiCitiesClustering":0.642829,"Tatoeba":0.03572182142857143,"STS14":0.7476063270848232,"KurdishSentimentClassification":0.565476,"PpcPC":0.716387,"STSBenchmark":0.7920891358738937,"MasakhaNEWSClusteringS2S":0.3400149375,"MIRACLRetrievalHardNegatives":0.0785,"NTREXBitextMining":0.069800878914405,"DalajClassification":0.498423,"SICK-R":0.7733681018334156,"NollySentiBitextMining":0.21318825,"SCIDOCS":0.09931,"BelebeleRetrieval":0.12289345744680852,"IsiZuluNewsClassification":0.223537,"TwitterHjerneRetrieval":0.02425,"STSB":0.375863,"STSES":0.724584,"KorSarcasmClassification":0.511523,"WinoGrande":0.24277,"SentimentAnalysisHindi":0.357603,"RuBQReranking":0.287699,"CyrillicTurkicLangClassification":0.615088,"FilipinoShopeeReviewsClassification":0.308887,"STS22.v2":0.35440477777777774,"RomaniBibleClustering":0.361782,"MacedonianTweetSentimentClassification":0.353995,"AfriSentiClassification":0.36997758333333336,"STS12":0.7015243619467687,"LegalBenchCorporateLobbying":0.76462,"TweetTopicSingleClassification":0.600236,"MultiEURLEXMultilabelClassification":0.023597391304347827,"T2Reranking":0.586219,"GreekLegalCodeClassification":0.0335445,"SlovakMovieReviewSentimentClassification":0.534277,"FaroeseSTS":0.628006,"SwissJudgementClassification":0.5371463333333334,"TwitterURLCorpus":0.829449637573502,"TRECCOVID":0.39479,"IndicLangClassification":0.446298,"GujaratiNewsClassification":0.40956,"ItaCaseholdClassification":0.48371,"FloresBitextMining":0.03284046121897035,"Robust04InstructionRetrieval":-0.08111,"BulgarianStoreReviewSentimentClassfication":0.337363,"OdiaNewsClassification":0.601653,"TswanaNewsClassification":0.257495,"PlscClusteringP2P.v2":0.632659,"FinancialPhrasebankClassification":0.72659,"News21InstructionRetrieval":0.028428,"StackOverflowQA":0.40474,"Core17InstructionRetrieval":0.002561,"WebLINXCandidatesReranking":0.08118483333333333,"PAC":0.565914,"VoyageMMarcoReranking":0.291857,"MedrxivClusteringP2P.v2":0.314881,"GermanSTSBenchmark":0.628689,"AlloprofReranking":0.408909,"AlloProfClusteringS2S.v2":0.203253,"ScalaClassification":0.5011475,"indonli":0.478414,"IN22GenBitextMining":0.026244622529644268,"CovidRetrieval":0.03908,"BigPatentClustering.v2":0.37288,"PawsXPairClassification":0.5071862857142857,"NusaXBitextMining":0.10053154545454546,"NusaParagraphEmotionClassification":0.2716844,"LEMBPasskeyRetrieval":0.2875,"CTKFactsNLI":0.7165945,"DiaBlaBitextMining":0.059844,"IndonesianIdClickbaitClassification":0.554256,"XNLI":0.5872768214285714},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":166,"model":{"name":"minishlab/potion-base-8M","url":"https://huggingface.co/minishlab/potion-base-8M","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"releaseDate":"2024-10-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":29.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/minishlab/tokenlearn-c4-en-bge-base-en-v1.5","adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.002357,"MultilabelClassification":0.11632343478260869,"Classification":0.4450236206752892,"Retrieval":0.28625084704330905,"Reranking":0.39076763194444447,"Clustering":0.32393866383871917,"PairClassification":0.7107811531973318,"BitextMining":0.16114595403219592},"scoresByTask":{"SemRel24STS":0.3893865,"FinParaSTS":0.024172,"PolEmo2.0-OUT":0.289069,"JSICK":0.627079,"SwednClusteringP2P":0.0587305,"MalteseNewsClassification":0.060514,"CzechProductReviewSentimentClassification":0.434033,"STS13":0.7727600787572996,"IndicCrosslingualSTS":0.008288916666666668,"SprintDuplicateQuestions":0.9020131927652946,"WikipediaRerankingMultilingual":0.695977125,"EstonianValenceClassification":0.27335,"STS15":0.7975345871163103,"MLQARetrieval":0.08250336734693878,"HALClusteringS2S.v2":0.045679,"PoemSentimentClassification":0.4502975,"BrazilianToxicTweetsClassification":0.153955,"StatcanDialogueDatasetRetrieval":0.0241675,"NordicLangClassification":0.597567,"ArXivHierarchicalClusteringP2P":0.550836,"NusaTranslationBitextMining":0.4489337272727273,"MassiveIntentClassification":0.2545544117647059,"CLSClusteringP2P.v2":0.138776,"WikipediaRetrievalMultilingual":0.33943625,"SinhalaNewsClassification":0.327295,"StackExchangeClustering.v2":0.503733,"MasakhaNEWSClassification":0.499876625,"NusaX-senti":0.5500625,"CataloniaTweetClassification":0.449463,"OpusparcusPC":0.8698605833333334,"ArmenianParaphrasePC":0.868525,"KorHateSpeechMLClassification":0.019048,"WikiClusteringP2P.v2":0.20522685714285713,"AmazonCounterfactualClassification":0.659104625,"ArXivHierarchicalClusteringS2S":0.492501,"NepaliNewsClassification":0.485596,"ArguAna":0.41966000000000003,"AILAStatutes":0.17404,"ToxicConversationsClassification":0.690625,"IndicGenBenchFloresBitextMining":0.015392862068965518,"CSFDSKMovieReviewSentimentClassification":0.208887,"SiswatiNewsClassification":0.4525,"CEDRClassification":0.326408,"TempReasonL1":0.01704,"BiorxivClusteringP2P.v2":0.334368,"NorwegianCourtsBitextMining":0.872076,"PunjabiNewsClassification":0.687898,"SpartQA":0.14374,"BUCC.v2":0.017858,"BornholmBitextMining":0.259317,"BibleNLPBitextMining":0.00517616002415459,"SIB200ClusteringS2S":0.032451451776649744,"RTE3":0.86531325,"TERRa":0.512653,"SwahiliNewsClassification":0.371533,"DBpediaClassification":0.819189,"HagridRetrieval":0.96955,"MultiHateClassification":0.5271727272727272,"WikiCitiesClustering":0.709079,"Tatoeba":0.030300401785714283,"STS14":0.71914099628002,"KurdishSentimentClassification":0.559587,"PpcPC":0.729585,"STSBenchmark":0.7540519061413277,"MasakhaNEWSClusteringS2S":0.3229198125,"MIRACLRetrievalHardNegatives":0.06998166666666666,"NTREXBitextMining":0.03636413778705637,"DalajClassification":0.501351,"SICK-R":0.646753400763881,"NollySentiBitextMining":0.196831,"SCIDOCS":0.12386999999999998,"BelebeleRetrieval":0.12135646276595743,"IsiZuluNewsClassification":0.232713,"TwitterHjerneRetrieval":0.02069,"STSB":0.3942635,"STSES":0.629861,"KorSarcasmClassification":0.520068,"WinoGrande":0.37858,"SentimentAnalysisHindi":0.370905,"RuBQReranking":0.328855,"CyrillicTurkicLangClassification":0.549658,"FilipinoShopeeReviewsClassification":0.2649415,"STS22.v2":0.31674050000000004,"RomaniBibleClustering":0.350513,"MacedonianTweetSentimentClassification":0.352151,"AfriSentiClassification":0.38443200000000005,"STS12":0.6224898505553053,"LegalBenchCorporateLobbying":0.84899,"TweetTopicSingleClassification":0.52593,"MultiEURLEXMultilabelClassification":0.02169217391304348,"T2Reranking":0.610495,"GreekLegalCodeClassification":0.0418455,"SlovakMovieReviewSentimentClassification":0.530908,"FaroeseSTS":0.611188,"SwissJudgementClassification":0.509526,"TwitterURLCorpus":0.8213756947863086,"TRECCOVID":0.45747,"IndicLangClassification":0.468663,"GujaratiNewsClassification":0.383763,"ItaCaseholdClassification":0.315837,"FloresBitextMining":0.015740206365304744,"Robust04InstructionRetrieval":-0.042519,"BulgarianStoreReviewSentimentClassfication":0.341209,"OdiaNewsClassification":0.549978,"TswanaNewsClassification":0.237782,"PlscClusteringP2P.v2":0.616215,"FinancialPhrasebankClassification":0.646643,"News21InstructionRetrieval":0.020067,"StackOverflowQA":0.50954,"Core17InstructionRetrieval":0.029523,"WebLINXCandidatesReranking":0.07896266666666667,"PAC":0.540168,"VoyageMMarcoReranking":0.253777,"MedrxivClusteringP2P.v2":0.315201,"GermanSTSBenchmark":0.6320574999999999,"AlloprofReranking":0.376539,"AlloProfClusteringS2S.v2":0.192538,"ScalaClassification":0.4997925,"indonli":0.485399,"IN22GenBitextMining":0.011564816205533597,"CovidRetrieval":0.0669,"BigPatentClustering.v2":0.314251,"PawsXPairClassification":0.4699324285714286,"NusaXBitextMining":0.1471320909090909,"NusaParagraphEmotionClassification":0.2668738,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.713112,"DiaBlaBitextMining":0.038211,"IndonesianIdClickbaitClassification":0.513217,"XNLI":0.5808235357142857},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":167,"model":{"name":"jinaai/jina-embedding-s-en-v1","url":"https://huggingface.co/jinaai/jina-embedding-s-en-v1","zeroShotPct":100,"activeParamsB":0.019,"totalParamsB":0.035,"embeddingDim":512,"maxTokens":512.0,"releaseDate":"2023-07-07","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{günther2023jina,\n title={Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models},\n author={Michael Günther and Louis Milliken and Jonathan Geuter and Georgios Mastrapas and Bo Wang and Han Xiao},\n year={2023},\n eprint={2307.11224},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":134.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google-t5/t5-small","supersededBy":"jinaai/jina-embeddings-v2-small-en","extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","ELI5","ESCI","Flickr30k","GooAQ","MSMARCO","MsCocoCaptions","NegationDataset","PAQ","QuoraQA","S2ORC","SNLI","SentenceCompression","SimpleWikipedia","Specter","Squad2","StackExchange","Tmdb","TrivialQA","TweetQA","WikiAnswers","WikiHow","Xmarket","YahooAnswers"]},"zeroShotPct":100,"activeParamsB":0.019,"totalParamsB":0.035,"embeddingDim":512,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.03223533333333333,"PairClassification":0.7151764604726698,"BitextMining":0.24795878037519417},"scoresByTask":{"SemRel24STS":0.24584191666666666,"FinParaSTS":0.090052,"PolEmo2.0-OUT":0.17834,"JSICK":0.020122,"SwednClusteringP2P":0.081331,"MalteseNewsClassification":0.068568,"CzechProductReviewSentimentClassification":0.422314,"STS13":0.7855383586979005,"IndicCrosslingualSTS":0.047267583333333335,"SprintDuplicateQuestions":0.949287554635848,"EstonianValenceClassification":0.256601,"STS15":0.8371357922283678,"MLQARetrieval":0.16189071428571428,"HALClusteringS2S.v2":0.097765,"PoemSentimentClassification":0.4421155,"BrazilianToxicTweetsClassification":0.158252,"StatcanDialogueDatasetRetrieval":0.11638,"NordicLangClassification":0.393833,"ArXivHierarchicalClusteringP2P":0.474345,"NusaTranslationBitextMining":0.5314853636363637,"CLSClusteringP2P.v2":0.103492,"SinhalaNewsClassification":0.33374,"StackExchangeClustering.v2":0.479275,"MasakhaNEWSClassification":0.513231625,"NusaX-senti":0.5113125,"CataloniaTweetClassification":0.40874275,"OpusparcusPC":0.8699333333333333,"ArmenianParaphrasePC":0.852491,"KorHateSpeechMLClassification":0.053019,"WikiClusteringP2P.v2":0.20397585714285715,"AmazonCounterfactualClassification":0.578585,"ArXivHierarchicalClusteringS2S":0.407978,"NepaliNewsClassification":0.376074,"ArguAna":0.43566000000000005,"AILAStatutes":0.2505,"ToxicConversationsClassification":0.594402,"IndicGenBenchFloresBitextMining":0.029858439655172417,"CSFDSKMovieReviewSentimentClassification":0.195996,"SiswatiNewsClassification":0.4125,"CEDRClassification":0.317375,"TempReasonL1":0.00696,"BiorxivClusteringP2P.v2":0.327398,"NorwegianCourtsBitextMining":0.848977,"PunjabiNewsClassification":0.56242,"SpartQA":0.075,"BUCC.v2":0.3484,"BornholmBitextMining":0.359062,"BibleNLPBitextMining":0.0181377077294686,"RTE3":0.85633,"TERRa":0.505638,"SwahiliNewsClassification":0.363379,"DBpediaClassification":0.765918,"HagridRetrieval":0.98762,"WikiCitiesClustering":0.520443,"Tatoeba":0.057437919642857146,"STS14":0.7384318001499558,"KurdishSentimentClassification":0.521439,"PpcPC":0.68569,"STSBenchmark":0.7919504854997832,"MasakhaNEWSClusteringS2S":0.33033,"MIRACLRetrievalHardNegatives":0.09967666666666668,"NTREXBitextMining":0.15134766075156578,"DalajClassification":0.499887,"SICK-R":0.7633071660715955,"NollySentiBitextMining":0.25718425,"SCIDOCS":0.15293,"IsiZuluNewsClassification":0.194548,"TwitterHjerneRetrieval":0.03467,"STSB":0.0399505,"STSES":0.650059,"KorSarcasmClassification":0.498438,"WinoGrande":0.62895,"SentimentAnalysisHindi":0.335937,"RuBQReranking":0.253379,"CyrillicTurkicLangClassification":0.241309,"FilipinoShopeeReviewsClassification":0.25542,"STS22.v2":0.4441466666666667,"RomaniBibleClustering":0.32023,"MacedonianTweetSentimentClassification":0.328183,"AfriSentiClassification":0.3603320833333334,"STS12":0.7427699263517789,"LegalBenchCorporateLobbying":0.8782,"TweetTopicSingleClassification":0.610986,"T2Reranking":0.541116,"GreekLegalCodeClassification":0.0098875,"SlovakMovieReviewSentimentClassification":0.486084,"FaroeseSTS":0.609571,"SwissJudgementClassification":0.5053413333333333,"TwitterURLCorpus":0.8343513915159009,"TRECCOVID":0.52303,"IndicLangClassification":0.083099,"GujaratiNewsClassification":0.511912,"ItaCaseholdClassification":0.661991,"FloresBitextMining":0.0915280406162465,"Robust04InstructionRetrieval":-0.080347,"BulgarianStoreReviewSentimentClassfication":0.234615,"OdiaNewsClassification":0.421338,"TswanaNewsClassification":0.204312,"PlscClusteringP2P.v2":0.598306,"FinancialPhrasebankClassification":0.58379,"News21InstructionRetrieval":-0.008605,"StackOverflowQA":0.63786,"Core17InstructionRetrieval":-0.007754,"WebLINXCandidatesReranking":0.0926125,"PAC":0.522966,"VoyageMMarcoReranking":0.15955,"MedrxivClusteringP2P.v2":0.318439,"GermanSTSBenchmark":0.6645194999999999,"AlloprofReranking":0.562122,"AlloProfClusteringS2S.v2":0.19565,"ScalaClassification":0.5019532499999999,"indonli":0.510343,"IN22GenBitextMining":0.09237803557312252,"CovidRetrieval":0.0003,"BigPatentClustering.v2":0.342574,"PawsXPairClassification":0.5195121428571429,"NusaXBitextMining":0.16899672727272727,"NusaParagraphEmotionClassification":0.2189566,"LEMBPasskeyRetrieval":0.2925,"CTKFactsNLI":0.7202365,"DiaBlaBitextMining":0.268671,"IndonesianIdClickbaitClassification":0.513633,"XNLI":0.5631281428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":168,"model":{"name":"sergeyzh/rubert-tiny-turbo","url":"https://huggingface.co/sergeyzh/rubert-tiny-turbo","zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.029,"embeddingDim":312,"maxTokens":2048.0,"releaseDate":"2024-06-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":111.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"cointegrated/rubert-tiny2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.029,"embeddingDim":312,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.022767333333333334,"MultilabelClassification":0.1589245346393753,"Classification":0.41803311707840723,"Retrieval":0.21256095466594832,"Reranking":0.38918494215765925,"STS":0.47791135890151515,"Clustering":0.2925844215861649},"scoresByTask":{"SemRel24STS":0.25146816666666666,"FinParaSTS":0.1048495,"PolEmo2.0-OUT":0.237449,"JSICK":0.437755,"SwednClusteringP2P":0.0264965,"MalteseNewsClassification":0.13461,"CzechProductReviewSentimentClassification":0.436377,"STS13":0.603443,"IndicCrosslingualSTS":0.10126616666666666,"SprintDuplicateQuestions":0.919439,"WikipediaRerankingMultilingual":0.6337894375,"EstonianValenceClassification":0.28313,"STS15":0.774073,"MLQARetrieval":0.09553520408163264,"HALClusteringS2S.v2":0.065786,"PoemSentimentClassification":0.35885531135531135,"BrazilianToxicTweetsClassification":0.208447,"StatcanDialogueDatasetRetrieval":0.00726,"STS17":0.2718219090909091,"NordicLangClassification":0.498967,"ArXivHierarchicalClusteringP2P":0.500175,"NusaTranslationBitextMining":0.5741933636363636,"MassiveIntentClassification":0.19726670621481582,"CLSClusteringP2P.v2":0.087318,"WikipediaRetrievalMultilingual":0.29756125,"SinhalaNewsClassification":0.354492,"StackExchangeClustering.v2":0.415677,"MasakhaNEWSClassification":0.4217030625,"NusaX-senti":0.5585833333333333,"CataloniaTweetClassification":0.4368055,"OpusparcusPC":0.8871021666666666,"ArmenianParaphrasePC":0.840592,"KorHateSpeechMLClassification":0.046735,"WikiClusteringP2P.v2":0.19376357142857145,"AmazonCounterfactualClassification":0.638017375,"ArXivHierarchicalClusteringS2S":0.476816,"NepaliNewsClassification":0.383447,"ArguAna":0.32031,"AILAStatutes":0.13624,"ToxicConversationsClassification":0.577734375,"IndicGenBenchFloresBitextMining":0.07538419827586207,"CSFDSKMovieReviewSentimentClassification":0.204346,"SiswatiNewsClassification":0.42125,"CEDRClassification":0.3895324123273113,"TempReasonL1":0.0077,"BiorxivClusteringP2P.v2":0.21853,"NorwegianCourtsBitextMining":0.884064,"PunjabiNewsClassification":0.640127,"SpartQA":0.06314,"BornholmBitextMining":0.429556,"SIB200ClusteringS2S":0.0494612842639594,"RTE3":0.85894475,"TERRa":0.5626544747251268,"SwahiliNewsClassification":0.308789,"DBpediaClassification":0.796484375,"HagridRetrieval":0.96676,"MultiHateClassification":0.5318181818181817,"WikiCitiesClustering":0.5666855146861068,"STS14":0.661225,"KurdishSentimentClassification":0.552391,"PpcPC":0.720378,"STSBenchmark":0.689725,"MasakhaNEWSClusteringS2S":0.334601875,"MIRACLRetrievalHardNegatives":0.06034277777777778,"DalajClassification":0.499099,"SICK-R":0.684327,"NollySentiBitextMining":0.27918849999999995,"SCIDOCS":0.04072,"BelebeleRetrieval":0.14675795212765957,"IsiZuluNewsClassification":0.204388,"TwitterHjerneRetrieval":0.01683,"STSB":0.18036249999999998,"STSES":0.665116,"KorSarcasmClassification":0.533545,"WinoGrande":0.27898,"SentimentAnalysisHindi":0.339619,"RuBQReranking":0.6215027154459556,"CyrillicTurkicLangClassification":0.6119140625,"FilipinoShopeeReviewsClassification":0.2805175,"STS22.v2":0.3336415,"RomaniBibleClustering":0.389415,"MacedonianTweetSentimentClassification":0.410272,"AfriSentiClassification":0.3499575,"STS12":0.661687,"LegalBenchCorporateLobbying":0.70011,"TweetTopicSingleClassification":0.5252215002953337,"MultiEURLEXMultilabelClassification":0.015298260869565218,"T2Reranking":0.516091,"GreekLegalCodeClassification":0.018823,"SlovakMovieReviewSentimentClassification":0.539307,"FaroeseSTS":0.611871,"SwissJudgementClassification":0.5256353333333333,"TwitterURLCorpus":0.79673,"TRECCOVID":0.1753,"IndicLangClassification":0.106973,"GujaratiNewsClassification":0.416161,"ItaCaseholdClassification":0.181448,"Robust04InstructionRetrieval":-0.041644,"BulgarianStoreReviewSentimentClassfication":0.441209,"OdiaNewsClassification":0.428706,"TswanaNewsClassification":0.150924,"PlscClusteringP2P.v2":0.632855,"FinancialPhrasebankClassification":0.6797703180212015,"News21InstructionRetrieval":0.013911,"StackOverflowQA":0.3197,"Core17InstructionRetrieval":-0.040569,"WebLINXCandidatesReranking":0.1008345,"PAC":0.598784,"VoyageMMarcoReranking":0.160006,"MedrxivClusteringP2P.v2":0.261544,"GermanSTSBenchmark":0.61395,"AlloprofReranking":0.302886,"AlloProfClusteringS2S.v2":0.161035,"ScalaClassification":0.500696,"indonli":0.482545,"IN22GenBitextMining":0.08747262648221345,"CovidRetrieval":0.00035,"BigPatentClustering.v2":0.301191,"PawsXPairClassification":0.493439,"NusaXBitextMining":0.1590409090909091,"NusaParagraphEmotionClassification":0.24689160000000002,"LEMBPasskeyRetrieval":0.1925,"CTKFactsNLI":0.705408,"DiaBlaBitextMining":0.0563,"IndonesianIdClickbaitClassification":0.547529},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"experiments":null},{"rank":169,"model":{"name":"minishlab/M2V_base_glove_subword","url":"https://huggingface.co/minishlab/M2V_base_glove_subword","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.103,"embeddingDim":256,"maxTokens":null,"releaseDate":"2024-09-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":391.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":null,"adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.103,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.009460333333333333,"MultilabelClassification":0.12126289565217392,"Classification":0.455207884223174,"Retrieval":0.24123268552525426,"Reranking":0.3853054444444444,"Clustering":0.31108712896007074,"PairClassification":0.7091611400699012,"BitextMining":0.14977451021342286},"scoresByTask":{"SemRel24STS":0.3798119166666667,"FinParaSTS":0.0171315,"PolEmo2.0-OUT":0.305061,"JSICK":0.6216,"SwednClusteringP2P":0.067363,"MalteseNewsClassification":0.091249,"CzechProductReviewSentimentClassification":0.40542,"STS13":0.7166792475528088,"IndicCrosslingualSTS":0.022661583333333336,"SprintDuplicateQuestions":0.8509945680365945,"WikipediaRerankingMultilingual":0.689211,"EstonianValenceClassification":0.26846,"STS15":0.7548765072240436,"MLQARetrieval":0.07283357142857143,"HALClusteringS2S.v2":0.052151,"PoemSentimentClassification":0.37932699999999997,"BrazilianToxicTweetsClassification":0.14248,"StatcanDialogueDatasetRetrieval":0.0065875000000000005,"NordicLangClassification":0.610267,"ArXivHierarchicalClusteringP2P":0.530247,"NusaTranslationBitextMining":0.42368972727272725,"MassiveIntentClassification":0.3184473529411765,"CLSClusteringP2P.v2":0.128253,"WikipediaRetrievalMultilingual":0.317505625,"SinhalaNewsClassification":0.330371,"StackExchangeClustering.v2":0.421657,"MasakhaNEWSClassification":0.522513125,"NusaX-senti":0.5237916666666667,"CataloniaTweetClassification":0.4347035,"OpusparcusPC":0.8684935833333333,"ArmenianParaphrasePC":0.871021,"KorHateSpeechMLClassification":0.016888,"WikiClusteringP2P.v2":0.19802185714285714,"AmazonCounterfactualClassification":0.643191625,"ArXivHierarchicalClusteringS2S":0.457369,"NepaliNewsClassification":0.49248,"ArguAna":0.296,"AILAStatutes":0.11928,"ToxicConversationsClassification":0.656884765625,"IndicGenBenchFloresBitextMining":0.016536534482758623,"CSFDSKMovieReviewSentimentClassification":0.203662,"SiswatiNewsClassification":0.695,"CEDRClassification":0.333794,"TempReasonL1":0.00801,"BiorxivClusteringP2P.v2":0.336621,"NorwegianCourtsBitextMining":0.888889,"PunjabiNewsClassification":0.63758,"SpartQA":0.16869,"BUCC.v2":0.020562999999999998,"BornholmBitextMining":0.265702,"BibleNLPBitextMining":0.0033900205314009663,"SIB200ClusteringS2S":0.03177408121827411,"RTE3":0.8863909999999999,"TERRa":0.52268,"SwahiliNewsClassification":0.419971,"DBpediaClassification":0.818066,"HagridRetrieval":0.95538,"MultiHateClassification":0.5343636363636364,"WikiCitiesClustering":0.667347,"Tatoeba":0.030996142857142858,"STS14":0.6782634222687376,"KurdishSentimentClassification":0.551887,"PpcPC":0.732899,"STSBenchmark":0.6652235871936412,"MasakhaNEWSClusteringS2S":0.315646125,"MIRACLRetrievalHardNegatives":0.06603611111111111,"NTREXBitextMining":0.029079458768267223,"DalajClassification":0.495721,"SICK-R":0.6617240782538595,"NollySentiBitextMining":0.128129,"SCIDOCS":0.09923,"BelebeleRetrieval":0.09864553191489361,"IsiZuluNewsClassification":0.247739,"TwitterHjerneRetrieval":0.01785,"STSB":0.35000050000000005,"STSES":0.60589,"KorSarcasmClassification":0.5146,"WinoGrande":0.08059,"SentimentAnalysisHindi":0.371743,"RuBQReranking":0.328591,"CyrillicTurkicLangClassification":0.593896,"FilipinoShopeeReviewsClassification":0.266724,"STS22.v2":0.3087426111111111,"RomaniBibleClustering":0.326417,"MacedonianTweetSentimentClassification":0.371378,"AfriSentiClassification":0.37456,"STS12":0.6189139464648924,"LegalBenchCorporateLobbying":0.77123,"TweetTopicSingleClassification":0.499173,"MultiEURLEXMultilabelClassification":0.021903478260869566,"T2Reranking":0.607591,"GreekLegalCodeClassification":0.1128905,"SlovakMovieReviewSentimentClassification":0.526709,"FaroeseSTS":0.611964,"SwissJudgementClassification":0.532213,"TwitterURLCorpus":0.7879896751132692,"TRECCOVID":0.39984,"IndicLangClassification":0.514718,"GujaratiNewsClassification":0.444537,"ItaCaseholdClassification":0.400452,"FloresBitextMining":0.012994622379986477,"Robust04InstructionRetrieval":-0.005356,"BulgarianStoreReviewSentimentClassfication":0.319231,"OdiaNewsClassification":0.53943,"TswanaNewsClassification":0.270226,"PlscClusteringP2P.v2":0.635463,"FinancialPhrasebankClassification":0.562633,"News21InstructionRetrieval":0.007231,"StackOverflowQA":0.41283,"Core17InstructionRetrieval":0.026506,"WebLINXCandidatesReranking":0.07152866666666667,"PAC":0.538083,"VoyageMMarcoReranking":0.253102,"MedrxivClusteringP2P.v2":0.306029,"GermanSTSBenchmark":0.6161495,"AlloprofReranking":0.361809,"AlloProfClusteringS2S.v2":0.182493,"ScalaClassification":0.50009775,"indonli":0.519353,"IN22GenBitextMining":0.01218603557312253,"CovidRetrieval":0.06665,"BigPatentClustering.v2":0.320542,"PawsXPairClassification":0.4713722857142857,"NusaXBitextMining":0.07697509090909091,"NusaParagraphEmotionClassification":0.3028881,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7123035,"DiaBlaBitextMining":0.037938,"IndonesianIdClickbaitClassification":0.522849,"XNLI":0.5772749285714286},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":170,"model":{"name":"minishlab/potion-base-4M","url":"https://huggingface.co/minishlab/potion-base-4M","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.004,"embeddingDim":128,"maxTokens":null,"releaseDate":"2024-10-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":14.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/minishlab/tokenlearn-c4-en-bge-base-en-v1.5","adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.004,"embeddingDim":128,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.006053333333333334,"MultilabelClassification":0.11691934782608696,"Classification":0.43705049677667585,"Retrieval":0.27226015113304974,"Reranking":0.3854298576388889,"Clustering":0.3220689461991253,"PairClassification":0.7079774233587629,"BitextMining":0.14589816045353324},"scoresByTask":{"SemRel24STS":0.38869983333333336,"FinParaSTS":0.016184999999999998,"PolEmo2.0-OUT":0.275304,"JSICK":0.627619,"SwednClusteringP2P":0.053638,"MalteseNewsClassification":0.059687,"CzechProductReviewSentimentClassification":0.430225,"STS13":0.7681750749576634,"IndicCrosslingualSTS":0.00789091666666667,"SprintDuplicateQuestions":0.8987404753184794,"WikipediaRerankingMultilingual":0.6777323125,"EstonianValenceClassification":0.269193,"STS15":0.7866432028882325,"MLQARetrieval":0.0739319387755102,"HALClusteringS2S.v2":0.049522,"PoemSentimentClassification":0.4398125,"BrazilianToxicTweetsClassification":0.158057,"StatcanDialogueDatasetRetrieval":0.0174425,"NordicLangClassification":0.5866,"ArXivHierarchicalClusteringP2P":0.534201,"NusaTranslationBitextMining":0.40285045454545454,"MassiveIntentClassification":0.23696811764705883,"CLSClusteringP2P.v2":0.135496,"WikipediaRetrievalMultilingual":0.295879375,"SinhalaNewsClassification":0.325439,"StackExchangeClustering.v2":0.50914,"MasakhaNEWSClassification":0.489278,"NusaX-senti":0.5387708333333333,"CataloniaTweetClassification":0.44029625,"OpusparcusPC":0.8661731666666667,"ArmenianParaphrasePC":0.867866,"KorHateSpeechMLClassification":0.018115,"WikiClusteringP2P.v2":0.20448235714285715,"AmazonCounterfactualClassification":0.634957,"ArXivHierarchicalClusteringS2S":0.497568,"NepaliNewsClassification":0.485449,"ArguAna":0.39449,"AILAStatutes":0.16518,"ToxicConversationsClassification":0.67724609375,"IndicGenBenchFloresBitextMining":0.011918801724137932,"CSFDSKMovieReviewSentimentClassification":0.208301,"SiswatiNewsClassification":0.44875,"CEDRClassification":0.327736,"TempReasonL1":0.0183,"BiorxivClusteringP2P.v2":0.315656,"NorwegianCourtsBitextMining":0.855994,"PunjabiNewsClassification":0.682166,"SpartQA":0.13552,"BUCC.v2":0.011602,"BornholmBitextMining":0.220479,"BibleNLPBitextMining":0.004310717391304348,"SIB200ClusteringS2S":0.031200969543147206,"RTE3":0.8655565000000001,"TERRa":0.512568,"SwahiliNewsClassification":0.364795,"DBpediaClassification":0.772119,"HagridRetrieval":0.96313,"MultiHateClassification":0.5251,"WikiCitiesClustering":0.690827,"Tatoeba":0.024672089285714287,"STS14":0.7098200491385814,"KurdishSentimentClassification":0.560745,"PpcPC":0.721777,"STSBenchmark":0.7428444387078392,"MasakhaNEWSClusteringS2S":0.3145188125,"MIRACLRetrievalHardNegatives":0.06381555555555556,"NTREXBitextMining":0.029898289144050107,"DalajClassification":0.500113,"SICK-R":0.6398613448451591,"NollySentiBitextMining":0.17125474999999998,"SCIDOCS":0.10976,"BelebeleRetrieval":0.10561335106382978,"IsiZuluNewsClassification":0.221011,"TwitterHjerneRetrieval":0.02081,"STSB":0.394291,"STSES":0.615559,"KorSarcasmClassification":0.517773,"WinoGrande":0.34206,"SentimentAnalysisHindi":0.370715,"RuBQReranking":0.324167,"CyrillicTurkicLangClassification":0.542578,"FilipinoShopeeReviewsClassification":0.26106,"STS22.v2":0.30912500000000004,"RomaniBibleClustering":0.362638,"MacedonianTweetSentimentClassification":0.350483,"AfriSentiClassification":0.3780696666666667,"STS12":0.6237621006422606,"LegalBenchCorporateLobbying":0.83581,"TweetTopicSingleClassification":0.526816,"MultiEURLEXMultilabelClassification":0.021001739130434783,"T2Reranking":0.609688,"GreekLegalCodeClassification":0.039819499999999994,"SlovakMovieReviewSentimentClassification":0.525781,"FaroeseSTS":0.603307,"SwissJudgementClassification":0.5119250000000001,"TwitterURLCorpus":0.8081688006755318,"TRECCOVID":0.43236,"IndicLangClassification":0.457597,"GujaratiNewsClassification":0.377466,"ItaCaseholdClassification":0.273756,"FloresBitextMining":0.012686250603689752,"Robust04InstructionRetrieval":-0.040789,"BulgarianStoreReviewSentimentClassfication":0.341758,"OdiaNewsClassification":0.544408,"TswanaNewsClassification":0.234702,"PlscClusteringP2P.v2":0.617759,"FinancialPhrasebankClassification":0.619214,"News21InstructionRetrieval":0.02144,"StackOverflowQA":0.4822,"Core17InstructionRetrieval":0.037509,"WebLINXCandidatesReranking":0.07810483333333333,"PAC":0.536085,"VoyageMMarcoReranking":0.249377,"MedrxivClusteringP2P.v2":0.318408,"GermanSTSBenchmark":0.6242639999999999,"AlloprofReranking":0.37351,"AlloProfClusteringS2S.v2":0.191992,"ScalaClassification":0.49998750000000003,"indonli":0.484426,"IN22GenBitextMining":0.011003551383399209,"CovidRetrieval":0.05938,"BigPatentClustering.v2":0.326056,"PawsXPairClassification":0.4701660714285714,"NusaXBitextMining":0.10971218181818182,"NusaParagraphEmotionClassification":0.2588589,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.7139949999999999,"DiaBlaBitextMining":0.030294,"IndonesianIdClickbaitClassification":0.51168,"XNLI":0.578314642857143},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":171,"model":{"name":"minishlab/M2V_base_output","url":"https://huggingface.co/minishlab/M2V_base_output","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"releaseDate":"2024-09-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":29.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":null,"adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0013189999999999996,"MultilabelClassification":0.11532450434782608,"Classification":0.4496615435516675,"Retrieval":0.24742557218710973,"Reranking":0.38111115972222226,"Clustering":0.29115884370467726,"PairClassification":0.7097321394883124,"BitextMining":0.14514526644655798},"scoresByTask":{"SemRel24STS":0.37157025,"FinParaSTS":0.018614,"PolEmo2.0-OUT":0.319231,"JSICK":0.620906,"SwednClusteringP2P":0.056304999999999994,"MalteseNewsClassification":0.063561,"CzechProductReviewSentimentClassification":0.406738,"STS13":0.7181863685179427,"IndicCrosslingualSTS":-0.004226666666666666,"SprintDuplicateQuestions":0.8505626292429993,"WikipediaRerankingMultilingual":0.681871625,"EstonianValenceClassification":0.259413,"STS15":0.7549078133619319,"MLQARetrieval":0.06573602040816326,"HALClusteringS2S.v2":0.03659,"PoemSentimentClassification":0.35738099999999995,"BrazilianToxicTweetsClassification":0.146924,"StatcanDialogueDatasetRetrieval":0.007505,"NordicLangClassification":0.593733,"ArXivHierarchicalClusteringP2P":0.515478,"NusaTranslationBitextMining":0.41793209090909095,"MassiveIntentClassification":0.3100309803921569,"CLSClusteringP2P.v2":0.126455,"WikipediaRetrievalMultilingual":0.29505625,"SinhalaNewsClassification":0.326953,"StackExchangeClustering.v2":0.392502,"MasakhaNEWSClassification":0.50126,"NusaX-senti":0.5125833333333333,"CataloniaTweetClassification":0.43314175,"OpusparcusPC":0.8691043333333334,"ArmenianParaphrasePC":0.870837,"KorHateSpeechMLClassification":0.017477,"WikiClusteringP2P.v2":0.19235635714285712,"AmazonCounterfactualClassification":0.657401625,"ArXivHierarchicalClusteringS2S":0.441535,"NepaliNewsClassification":0.494971,"ArguAna":0.29184,"AILAStatutes":0.12725,"ToxicConversationsClassification":0.630419921875,"IndicGenBenchFloresBitextMining":0.01445225,"CSFDSKMovieReviewSentimentClassification":0.200146,"SiswatiNewsClassification":0.7175,"CEDRClassification":0.327524,"TempReasonL1":0.01172,"BiorxivClusteringP2P.v2":0.289614,"NorwegianCourtsBitextMining":0.864766,"PunjabiNewsClassification":0.613376,"SpartQA":0.17691,"BUCC.v2":0.009882,"BornholmBitextMining":0.226225,"BibleNLPBitextMining":0.0027082469806763284,"SIB200ClusteringS2S":0.029996142131979694,"RTE3":0.88583325,"TERRa":0.51959,"SwahiliNewsClassification":0.410742,"DBpediaClassification":0.80957,"HagridRetrieval":0.94917,"MultiHateClassification":0.5354545454545454,"WikiCitiesClustering":0.578062,"Tatoeba":0.02360655357142857,"STS14":0.6699860396187163,"KurdishSentimentClassification":0.552592,"PpcPC":0.733388,"STSBenchmark":0.6724531237733661,"MasakhaNEWSClusteringS2S":0.288886,"MIRACLRetrievalHardNegatives":0.059880555555555555,"NTREXBitextMining":0.029280848121085595,"DalajClassification":0.501689,"SICK-R":0.6543442849067297,"NollySentiBitextMining":0.16014825,"SCIDOCS":0.09668000000000002,"BelebeleRetrieval":0.09053247340425533,"IsiZuluNewsClassification":0.236835,"TwitterHjerneRetrieval":0.02043,"STSB":0.36684,"STSES":0.616835,"KorSarcasmClassification":0.515625,"WinoGrande":0.15086,"SentimentAnalysisHindi":0.369974,"RuBQReranking":0.325447,"CyrillicTurkicLangClassification":0.586328,"FilipinoShopeeReviewsClassification":0.2649415,"STS22.v2":0.3201795,"RomaniBibleClustering":0.329801,"MacedonianTweetSentimentClassification":0.374188,"AfriSentiClassification":0.37612341666666665,"STS12":0.5997334423570035,"LegalBenchCorporateLobbying":0.79257,"TweetTopicSingleClassification":0.462197,"MultiEURLEXMultilabelClassification":0.021136521739130436,"T2Reranking":0.605237,"GreekLegalCodeClassification":0.1002195,"SlovakMovieReviewSentimentClassification":0.535254,"FaroeseSTS":0.603744,"SwissJudgementClassification":0.526319,"TwitterURLCorpus":0.7986337146522463,"TRECCOVID":0.47015,"IndicLangClassification":0.510767,"GujaratiNewsClassification":0.439833,"ItaCaseholdClassification":0.348869,"FloresBitextMining":0.012150180744711678,"Robust04InstructionRetrieval":-0.034204,"BulgarianStoreReviewSentimentClassfication":0.304945,"OdiaNewsClassification":0.541394,"TswanaNewsClassification":0.272074,"PlscClusteringP2P.v2":0.626333,"FinancialPhrasebankClassification":0.563516,"News21InstructionRetrieval":0.012013,"StackOverflowQA":0.40078,"Core17InstructionRetrieval":0.018234,"WebLINXCandidatesReranking":0.06318533333333333,"PAC":0.544715,"VoyageMMarcoReranking":0.251605,"MedrxivClusteringP2P.v2":0.28662,"GermanSTSBenchmark":0.6126955000000001,"AlloprofReranking":0.359321,"AlloProfClusteringS2S.v2":0.169987,"ScalaClassification":0.5007445,"indonli":0.511106,"IN22GenBitextMining":0.011798861660079051,"CovidRetrieval":0.06159,"BigPatentClustering.v2":0.298021,"PawsXPairClassification":0.472357,"NusaXBitextMining":0.08886618181818182,"NusaParagraphEmotionClassification":0.3050463,"LEMBPasskeyRetrieval":0.385,"CTKFactsNLI":0.718411,"DiaBlaBitextMining":0.025072,"IndonesianIdClickbaitClassification":0.511211,"XNLI":0.5772306071428571},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":172,"model":{"name":"jinaai/jina-embeddings-v2-small-en","url":"https://huggingface.co/jinaai/jina-embeddings-v2-small-en","zeroShotPct":100,"activeParamsB":0.017,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":8192.0,"releaseDate":"2023-09-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{günther2023jina,\n title={Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents},\n author={Michael Günther and Jackmin Ong and Isabelle Mohr and Alaeddine Abdessalem and Tanguy Abel and Mohammad Kalim Akram and Susana Guzman and Georgios Mastrapas and Saba Sturua and Bo Wang and Maximilian Werk and Nan Wang and Han Xiao},\n year={2023},\n eprint={2310.19923},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":62.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"jina-bert-smalll-en-v1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","CC-NEWS","ELI5","ESCI","FEVER","Flickr30k","GooAQ","HotpotQA","MSMARCO","MsCocoCaptions","NQ","NegationDataset","PAQ","QuoraQA","S2ORC","SNLI","SentenceCompression","SimpleWikipedia","Specter","Squad2","StackExchange","Tmdb","TrivialQA","TweetQA","WikiAnswers","WikiHow","Xmarket","YahooAnswers"]},"zeroShotPct":100,"activeParamsB":0.017,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.007475,"MultilabelClassification":0.11874704347826089,"Classification":0.4381495237159558,"Retrieval":0.13451235721623164,"Reranking":0.2761244722222222,"Clustering":0.27306303861777104,"PairClassification":0.7075690881443317,"BitextMining":0.12605180106057928},"scoresByTask":{"SemRel24STS":0.36213349999999994,"FinParaSTS":0.046612,"PolEmo2.0-OUT":0.30668,"JSICK":0.625403,"SwednClusteringP2P":0.0155695,"MalteseNewsClassification":0.034088,"CzechProductReviewSentimentClassification":0.395654,"STS13":0.8329727595993955,"IndicCrosslingualSTS":0.06251416666666666,"SprintDuplicateQuestions":0.9511619225962413,"WikipediaRerankingMultilingual":0.4245015,"EstonianValenceClassification":0.288875,"STS15":0.8729947322714338,"MLQARetrieval":0.018130918367346937,"HALClusteringS2S.v2":0.048446,"PoemSentimentClassification":0.36784300000000003,"BrazilianToxicTweetsClassification":0.180078,"StatcanDialogueDatasetRetrieval":0.001365,"NordicLangClassification":0.5033,"ArXivHierarchicalClusteringP2P":0.483147,"NusaTranslationBitextMining":0.4073041818181818,"MassiveIntentClassification":0.2723471470588235,"CLSClusteringP2P.v2":0.120785,"WikipediaRetrievalMultilingual":0.058124375,"SinhalaNewsClassification":0.377881,"StackExchangeClustering.v2":0.423103,"MasakhaNEWSClassification":0.405297875,"NusaX-senti":0.5271041666666667,"CataloniaTweetClassification":0.4455605,"OpusparcusPC":0.8555031666666667,"ArmenianParaphrasePC":0.873233,"KorHateSpeechMLClassification":0.024791,"WikiClusteringP2P.v2":0.17700328571428572,"AmazonCounterfactualClassification":0.629214125,"ArXivHierarchicalClusteringS2S":0.496587,"NepaliNewsClassification":0.497998,"ArguAna":0.46729,"AILAStatutes":0.13024,"ToxicConversationsClassification":0.7154419999999999,"IndicGenBenchFloresBitextMining":0.002094646551724138,"CSFDSKMovieReviewSentimentClassification":0.189014,"SiswatiNewsClassification":0.72875,"CEDRClassification":0.341073,"TempReasonL1":0.00397,"BiorxivClusteringP2P.v2":0.208927,"NorwegianCourtsBitextMining":0.812865,"PunjabiNewsClassification":0.625478,"SpartQA":0.02968,"BUCC.v2":0.0028032499999999998,"BornholmBitextMining":0.175312,"BibleNLPBitextMining":0.0016640193236714975,"SIB200ClusteringS2S":0.025217644670050762,"RTE3":0.850301,"TERRa":0.478604,"SwahiliNewsClassification":0.336865,"DBpediaClassification":0.730029,"HagridRetrieval":0.43194,"MultiHateClassification":0.5477272727272727,"WikiCitiesClustering":0.430689,"Tatoeba":0.009850017857142858,"STS14":0.7916865482487541,"KurdishSentimentClassification":0.571414,"PpcPC":0.707084,"STSBenchmark":0.8403893866106175,"MasakhaNEWSClusteringS2S":0.3063721875,"MIRACLRetrievalHardNegatives":0.003098333333333333,"NTREXBitextMining":0.023621781837160752,"DalajClassification":0.501126,"SICK-R":0.767212346922664,"NollySentiBitextMining":0.130081,"SCIDOCS":0.18605,"BelebeleRetrieval":0.021643803191489362,"IsiZuluNewsClassification":0.242553,"TwitterHjerneRetrieval":0.0254,"STSB":0.3105675,"STSES":0.44566,"KorSarcasmClassification":0.527686,"WinoGrande":0.01817,"SentimentAnalysisHindi":0.38984,"RuBQReranking":0.173003,"CyrillicTurkicLangClassification":0.605713,"FilipinoShopeeReviewsClassification":0.24387199999999998,"STS22.v2":0.1757616111111111,"RomaniBibleClustering":0.3816,"MacedonianTweetSentimentClassification":0.367515,"AfriSentiClassification":0.368891,"STS12":0.7366390263429565,"LegalBenchCorporateLobbying":0.20833,"TweetTopicSingleClassification":0.445068,"MultiEURLEXMultilabelClassification":0.013705217391304347,"T2Reranking":0.51807,"GreekLegalCodeClassification":0.061352500000000004,"SlovakMovieReviewSentimentClassification":0.522217,"FaroeseSTS":0.581388,"SwissJudgementClassification":0.5372083333333334,"TwitterURLCorpus":0.8605431303247397,"TRECCOVID":0.6518,"IndicLangClassification":0.521376,"GujaratiNewsClassification":0.400986,"ItaCaseholdClassification":0.166516,"FloresBitextMining":0.012347868178305806,"Robust04InstructionRetrieval":-0.008458,"BulgarianStoreReviewSentimentClassfication":0.301648,"OdiaNewsClassification":0.571078,"TswanaNewsClassification":0.19384,"PlscClusteringP2P.v2":0.622693,"FinancialPhrasebankClassification":0.547836,"News21InstructionRetrieval":0.011228,"StackOverflowQA":0.13099,"Core17InstructionRetrieval":-0.025195,"WebLINXCandidatesReranking":0.042835333333333336,"PAC":0.59305,"VoyageMMarcoReranking":0.185601,"MedrxivClusteringP2P.v2":0.244033,"GermanSTSBenchmark":0.5194735,"AlloprofReranking":0.312736,"AlloProfClusteringS2S.v2":0.159097,"ScalaClassification":0.5017825,"indonli":0.493873,"IN22GenBitextMining":0.014069284584980237,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.225739,"PawsXPairClassification":0.470104,"NusaXBitextMining":0.033258363636363635,"NusaParagraphEmotionClassification":0.2374791,"LEMBPasskeyRetrieval":0.034999999999999996,"CTKFactsNLI":0.6948430000000001,"DiaBlaBitextMining":0.013402,"IndonesianIdClickbaitClassification":0.529322,"XNLI":0.54800975},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":173,"model":{"name":"DeepPavlov/rubert-base-cased-sentence","url":"https://huggingface.co/DeepPavlov/rubert-base-cased-sentence","zeroShotPct":100,"activeParamsB":0.015,"totalParamsB":0.107,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2020-03-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":408.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["I","L","N","X"]},"zeroShotPct":100,"activeParamsB":0.015,"totalParamsB":0.107,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0026413333333333336,"MultilabelClassification":0.1370208159220071,"Classification":0.43382716335123633,"Retrieval":0.0916499631284744,"Reranking":0.35127672557392975,"STS":0.45190608412247474,"Clustering":0.29969806761863216},"scoresByTask":{"SemRel24STS":0.29117658333333335,"FinParaSTS":0.065558,"PolEmo2.0-OUT":0.346356,"JSICK":0.651558,"SwednClusteringP2P":0.076817,"MalteseNewsClassification":0.145755,"CzechProductReviewSentimentClassification":0.410449,"STS13":0.469903,"IndicCrosslingualSTS":0.03630833333333333,"SprintDuplicateQuestions":0.482546,"WikipediaRerankingMultilingual":0.5201680625,"EstonianValenceClassification":0.29401,"STS15":0.645847,"MLQARetrieval":0.04853469387755102,"HALClusteringS2S.v2":0.113099,"PoemSentimentClassification":0.32315950000000004,"BrazilianToxicTweetsClassification":0.149268,"StatcanDialogueDatasetRetrieval":0.0046700000000000005,"STS17":0.33391181818181814,"NordicLangClassification":0.5139,"ArXivHierarchicalClusteringP2P":0.497449,"NusaTranslationBitextMining":0.380102,"MassiveIntentClassification":0.2541095098039216,"CLSClusteringP2P.v2":0.171415,"WikipediaRetrievalMultilingual":0.115095,"SinhalaNewsClassification":0.37915,"StackExchangeClustering.v2":0.417072,"MasakhaNEWSClassification":0.4901049375,"NusaX-senti":0.484375,"CataloniaTweetClassification":0.42603075,"OpusparcusPC":0.8481225833333333,"ArmenianParaphrasePC":0.85015,"KorHateSpeechMLClassification":0.020422,"WikiClusteringP2P.v2":0.20428007142857144,"AmazonCounterfactualClassification":0.575301375,"ArXivHierarchicalClusteringS2S":0.50441,"NepaliNewsClassification":0.464697,"ArguAna":0.09387,"AILAStatutes":0.14134,"ToxicConversationsClassification":0.532764,"IndicGenBenchFloresBitextMining":0.005863137931034482,"CSFDSKMovieReviewSentimentClassification":0.202197,"SiswatiNewsClassification":0.71,"CEDRClassification":0.3555260361317747,"TempReasonL1":0.0016,"BiorxivClusteringP2P.v2":0.189806,"NorwegianCourtsBitextMining":0.794591,"PunjabiNewsClassification":0.62293,"SpartQA":0.01727,"BornholmBitextMining":0.156034,"SIB200ClusteringS2S":0.06173719796954315,"RTE3":0.85292725,"TERRa":0.5911700831394415,"SwahiliNewsClassification":0.393115,"DBpediaClassification":0.772852,"HagridRetrieval":0.52552,"MultiHateClassification":0.5436909090909091,"WikiCitiesClustering":0.491251,"STS14":0.50879,"KurdishSentimentClassification":0.578108,"PpcPC":0.837143,"STSBenchmark":0.557891,"MasakhaNEWSClusteringS2S":0.3057488125,"MIRACLRetrievalHardNegatives":0.008937222222222223,"DalajClassification":0.503829,"SICK-R":0.569841,"NollySentiBitextMining":0.16390274999999999,"SCIDOCS":0.01179,"BelebeleRetrieval":0.06831242021276596,"IsiZuluNewsClassification":0.226596,"TwitterHjerneRetrieval":0.03563,"STSB":0.652471,"STSES":0.460771,"KorSarcasmClassification":0.550391,"WinoGrande":0.05274,"SentimentAnalysisHindi":0.368848,"RuBQReranking":0.3989251242769119,"CyrillicTurkicLangClassification":0.588037109375,"FilipinoShopeeReviewsClassification":0.2342775,"STS22.v2":0.3458301111111111,"RomaniBibleClustering":0.382462,"MacedonianTweetSentimentClassification":0.378051,"AfriSentiClassification":0.34968333333333335,"STS12":0.590229,"LegalBenchCorporateLobbying":0.35354,"TweetTopicSingleClassification":0.473184,"MultiEURLEXMultilabelClassification":0.01413304347826087,"T2Reranking":0.537353,"GreekLegalCodeClassification":0.072876,"SlovakMovieReviewSentimentClassification":0.528174,"FaroeseSTS":0.496287,"SwissJudgementClassification":0.493076,"TwitterURLCorpus":0.7015,"TRECCOVID":0.07796,"IndicLangClassification":0.2725,"GujaratiNewsClassification":0.396737,"ItaCaseholdClassification":0.30543,"Robust04InstructionRetrieval":-0.040234,"BulgarianStoreReviewSentimentClassfication":0.403297,"OdiaNewsClassification":0.574483,"TswanaNewsClassification":0.192197,"PlscClusteringP2P.v2":0.647859,"FinancialPhrasebankClassification":0.488163,"News21InstructionRetrieval":0.032157,"StackOverflowQA":0.06968,"Core17InstructionRetrieval":0.016001,"WebLINXCandidatesReranking":0.11900416666666667,"PAC":0.643643,"VoyageMMarcoReranking":0.196422,"MedrxivClusteringP2P.v2":0.235856,"GermanSTSBenchmark":0.5541245,"AlloprofReranking":0.335788,"AlloProfClusteringS2S.v2":0.18358,"ScalaClassification":0.5019775,"indonli":0.488812,"IN22GenBitextMining":0.028364407114624506,"CovidRetrieval":0.00071,"BigPatentClustering.v2":0.312327,"PawsXPairClassification":0.5096652857142857,"NusaXBitextMining":0.030711909090909092,"NusaParagraphEmotionClassification":0.2512756,"LEMBPasskeyRetrieval":0.0225,"CTKFactsNLI":0.7373244999999999,"DiaBlaBitextMining":0.048874,"IndonesianIdClickbaitClassification":0.540542},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":174,"model":{"name":"McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse","zeroShotPct":100,"activeParamsB":7.022,"totalParamsB":7.153,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":7.022,"totalParamsB":7.153,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.010910333333333334,"Classification":0.5467475730169341,"Retrieval":0.3057195614868287,"Reranking":0.44115506250000003,"Clustering":0.3820759602010062,"PairClassification":0.7241400936597798},"scoresByTask":{"SemRel24STS":0.4538755833333333,"FinParaSTS":0.039644,"PolEmo2.0-OUT":0.425101,"JSICK":0.664978,"SwednClusteringP2P":0.3389245,"CzechProductReviewSentimentClassification":0.468799,"STS13":0.8389765011154986,"IndicCrosslingualSTS":0.08277833333333333,"SprintDuplicateQuestions":0.9130057039245253,"WikipediaRerankingMultilingual":0.740124875,"EstonianValenceClassification":0.316993,"STS15":0.8380216382863032,"MLQARetrieval":0.11428642857142857,"HALClusteringS2S.v2":0.139796,"PoemSentimentClassification":0.42480300000000004,"StatcanDialogueDatasetRetrieval":0.059274999999999994,"NordicLangClassification":0.693167,"ArXivHierarchicalClusteringP2P":0.581675,"MassiveIntentClassification":0.49014484313725487,"CLSClusteringP2P.v2":0.315456,"WikipediaRetrievalMultilingual":0.539455625,"SinhalaNewsClassification":0.475928,"StackExchangeClustering.v2":0.481736,"MasakhaNEWSClassification":0.6520860625,"NusaX-senti":0.6004583333333333,"CataloniaTweetClassification":0.4889885,"OpusparcusPC":0.8753270833333334,"ArmenianParaphrasePC":0.907511,"WikiClusteringP2P.v2":0.23342692857142858,"AmazonCounterfactualClassification":0.747964375,"ArXivHierarchicalClusteringS2S":0.520759,"NepaliNewsClassification":0.809131,"ArguAna":0.51001,"AILAStatutes":0.2248,"ToxicConversationsClassification":0.707112,"CSFDSKMovieReviewSentimentClassification":0.249707,"SiswatiNewsClassification":0.72375,"CEDRClassification":0.364612,"TempReasonL1":0.00182,"BiorxivClusteringP2P.v2":0.39412,"PunjabiNewsClassification":0.592994,"SpartQA":0.00087,"SIB200ClusteringS2S":0.07590430964467006,"RTE3":0.8725335000000001,"TERRa":0.50197,"SwahiliNewsClassification":0.588916,"DBpediaClassification":0.899658,"HagridRetrieval":0.82166,"MultiHateClassification":0.5824909090909091,"WikiCitiesClustering":0.831262,"STS14":0.7697256789216159,"KurdishSentimentClassification":0.567539,"PpcPC":0.690867,"STSBenchmark":0.8041509666334722,"MasakhaNEWSClusteringS2S":0.32573762500000003,"MIRACLRetrievalHardNegatives":0.08868,"DalajClassification":0.502252,"SICK-R":0.7555405115197729,"SCIDOCS":0.15345,"BelebeleRetrieval":0.19292505319148937,"IsiZuluNewsClassification":0.25133,"TwitterHjerneRetrieval":0.06807,"STSB":0.504092,"STSES":0.721254,"KorSarcasmClassification":0.55376,"WinoGrande":0.46358,"SentimentAnalysisHindi":0.418771,"RuBQReranking":0.477463,"CyrillicTurkicLangClassification":0.7771,"FilipinoShopeeReviewsClassification":0.307129,"STS22.v2":0.5336842777777778,"RomaniBibleClustering":0.382026,"MacedonianTweetSentimentClassification":0.428709,"AfriSentiClassification":0.40338650000000004,"STS12":0.6765074099726466,"LegalBenchCorporateLobbying":0.72963,"TweetTopicSingleClassification":0.637685,"T2Reranking":0.596915,"GreekLegalCodeClassification":0.242969,"SlovakMovieReviewSentimentClassification":0.589502,"FaroeseSTS":0.404308,"SwissJudgementClassification":0.5379856666666667,"TwitterURLCorpus":0.8276174215711473,"TRECCOVID":0.55665,"IndicLangClassification":0.886949,"GujaratiNewsClassification":0.510243,"ItaCaseholdClassification":0.844344,"Robust04InstructionRetrieval":-0.033035,"BulgarianStoreReviewSentimentClassfication":0.477473,"OdiaNewsClassification":0.452356,"TswanaNewsClassification":0.307803,"PlscClusteringP2P.v2":0.693167,"FinancialPhrasebankClassification":0.694125,"News21InstructionRetrieval":-0.001918,"StackOverflowQA":0.65572,"Core17InstructionRetrieval":0.002222,"WebLINXCandidatesReranking":0.060780499999999994,"PAC":0.677932,"VoyageMMarcoReranking":0.372455,"MedrxivClusteringP2P.v2":0.348189,"GermanSTSBenchmark":0.47567499999999996,"AlloprofReranking":0.399192,"AlloProfClusteringS2S.v2":0.191366,"ScalaClassification":0.5250732499999999,"indonli":0.489513,"CovidRetrieval":0.07957,"BigPatentClustering.v2":0.25967,"PawsXPairClassification":0.6143854285714286,"NusaParagraphEmotionClassification":0.38900419999999997,"LEMBPasskeyRetrieval":0.2425,"CTKFactsNLI":0.7176245,"IndonesianIdClickbaitClassification":0.588533,"XNLI":0.5551863928571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":175,"model":{"name":"minishlab/M2V_base_glove","url":"https://huggingface.co/minishlab/M2V_base_glove","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.102,"embeddingDim":256,"maxTokens":null,"releaseDate":"2024-09-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":391.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":null,"adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.102,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0041153333333333346,"MultilabelClassification":0.14038234782608697,"Classification":0.42554543600466876,"Retrieval":0.2438324832109755,"Reranking":0.27441050347222223,"Clustering":0.3024511359227701,"PairClassification":0.704518541367948,"BitextMining":0.1406829811628301},"scoresByTask":{"SemRel24STS":0.24640683333333335,"FinParaSTS":0.0847075,"PolEmo2.0-OUT":0.326113,"JSICK":0.205889,"SwednClusteringP2P":0.0369785,"MalteseNewsClassification":0.074576,"CzechProductReviewSentimentClassification":0.391113,"STS13":0.779790218678965,"IndicCrosslingualSTS":0.025866750000000004,"SprintDuplicateQuestions":0.8793890477556426,"WikipediaRerankingMultilingual":0.5354561875,"EstonianValenceClassification":0.269438,"STS15":0.7877945492051583,"MLQARetrieval":0.07939744897959183,"HALClusteringS2S.v2":0.043055,"PoemSentimentClassification":0.40998599999999996,"BrazilianToxicTweetsClassification":0.14248,"StatcanDialogueDatasetRetrieval":0.0070325000000000006,"NordicLangClassification":0.5227,"ArXivHierarchicalClusteringP2P":0.534444,"NusaTranslationBitextMining":0.3549594545454546,"MassiveIntentClassification":0.151524,"CLSClusteringP2P.v2":0.050533,"WikipediaRetrievalMultilingual":0.1555725,"SinhalaNewsClassification":0.318066,"StackExchangeClustering.v2":0.420781,"MasakhaNEWSClassification":0.485835,"NusaX-senti":0.49304166666666666,"CataloniaTweetClassification":0.431343,"OpusparcusPC":0.82276475,"ArmenianParaphrasePC":0.814416,"KorHateSpeechMLClassification":0.130388,"WikiClusteringP2P.v2":0.17452642857142855,"AmazonCounterfactualClassification":0.6219445,"ArXivHierarchicalClusteringS2S":0.456268,"NepaliNewsClassification":0.488672,"ArguAna":0.33774,"AILAStatutes":0.13447,"ToxicConversationsClassification":0.676025390625,"IndicGenBenchFloresBitextMining":0.060026163793103444,"CSFDSKMovieReviewSentimentClassification":0.194678,"SiswatiNewsClassification":0.71625,"CEDRClassification":0.337726,"TempReasonL1":0.01021,"BiorxivClusteringP2P.v2":0.346647,"NorwegianCourtsBitextMining":0.71571,"PunjabiNewsClassification":0.631847,"SpartQA":0.15622,"BUCC.v2":0.02419075,"BornholmBitextMining":0.141176,"BibleNLPBitextMining":0.006136269323671497,"SIB200ClusteringS2S":0.0302817461928934,"RTE3":0.8890865,"TERRa":0.540761,"SwahiliNewsClassification":0.454248,"DBpediaClassification":0.827051,"HagridRetrieval":0.95849,"MultiHateClassification":0.536309090909091,"WikiCitiesClustering":0.68082,"Tatoeba":0.0357588125,"STS14":0.7008415685571369,"KurdishSentimentClassification":0.533317,"PpcPC":0.725664,"STSBenchmark":0.6890568918705055,"MasakhaNEWSClusteringS2S":0.2789175,"MIRACLRetrievalHardNegatives":0.04416222222222222,"NTREXBitextMining":0.08167260020876826,"DalajClassification":0.501239,"SICK-R":0.6466033328975722,"NollySentiBitextMining":0.14902525,"SCIDOCS":0.11145,"BelebeleRetrieval":0.11790002659574468,"IsiZuluNewsClassification":0.124601,"TwitterHjerneRetrieval":0.00825,"STSB":0.010992499999999999,"STSES":0.590956,"KorSarcasmClassification":0.55332,"WinoGrande":0.20898,"SentimentAnalysisHindi":0.348882,"RuBQReranking":0.228318,"CyrillicTurkicLangClassification":0.222363,"FilipinoShopeeReviewsClassification":0.2670655,"STS22.v2":0.33986144444444444,"RomaniBibleClustering":0.374712,"MacedonianTweetSentimentClassification":0.33784,"AfriSentiClassification":0.3804623333333333,"STS12":0.6463642414925371,"LegalBenchCorporateLobbying":0.82523,"TweetTopicSingleClassification":0.493385,"MultiEURLEXMultilabelClassification":0.016741739130434783,"T2Reranking":0.471024,"GreekLegalCodeClassification":0.047388,"SlovakMovieReviewSentimentClassification":0.520312,"FaroeseSTS":0.308507,"SwissJudgementClassification":0.5196676666666666,"TwitterURLCorpus":0.7947942287203573,"TRECCOVID":0.50293,"IndicLangClassification":0.178151,"GujaratiNewsClassification":0.421168,"ItaCaseholdClassification":0.323077,"FloresBitextMining":0.05872481640587269,"Robust04InstructionRetrieval":-0.025928,"BulgarianStoreReviewSentimentClassfication":0.374725,"OdiaNewsClassification":0.525051,"TswanaNewsClassification":0.195688,"PlscClusteringP2P.v2":0.63518,"FinancialPhrasebankClassification":0.539223,"News21InstructionRetrieval":0.005425,"StackOverflowQA":0.34095,"Core17InstructionRetrieval":0.008157,"WebLINXCandidatesReranking":0.06547483333333333,"PAC":0.638517,"VoyageMMarcoReranking":0.055098,"MedrxivClusteringP2P.v2":0.320937,"GermanSTSBenchmark":0.44395999999999997,"AlloprofReranking":0.291092,"AlloProfClusteringS2S.v2":0.143294,"ScalaClassification":0.501123,"indonli":0.525999,"IN22GenBitextMining":0.04687536561264822,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.311843,"PawsXPairClassification":0.4618968571428571,"NusaXBitextMining":0.11228327272727273,"NusaParagraphEmotionClassification":0.28040560000000003,"LEMBPasskeyRetrieval":0.39,"CTKFactsNLI":0.728934,"DiaBlaBitextMining":0.04234,"IndonesianIdClickbaitClassification":0.525298,"XNLI":0.5659985714285715},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":176,"model":{"name":"cointegrated/rubert-tiny2","url":"https://huggingface.co/cointegrated/rubert-tiny2","zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.029,"embeddingDim":312,"maxTokens":2048.0,"releaseDate":"2021-10-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":112.0,"license":"mit","publicTrainingCode":"https://colab.research.google.com/drive/1mSWfIQ6PIlteLVZ9DKKpcorycgLIKZLf?usp=sharing","publicTrainingData":null,"adaptedFrom":"cointegrated/rubert-tiny","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.029,"embeddingDim":312,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0009313333333333332,"MultilabelClassification":0.15268940482373053,"Classification":0.41167633198244413,"Retrieval":0.1434576529221815,"Reranking":0.3457588808527166,"STS":0.4513384835858586,"Clustering":0.2915847575830538,"BitextMining":0.22654390990354642},"scoresByTask":{"SemRel24STS":0.24778583333333334,"FinParaSTS":0.0708715,"PolEmo2.0-OUT":0.315587,"JSICK":0.406,"SwednClusteringP2P":0.02171,"MalteseNewsClassification":0.147758,"CzechProductReviewSentimentClassification":0.435645,"STS13":0.599659,"IndicCrosslingualSTS":0.06515866666666666,"SprintDuplicateQuestions":0.711581,"WikipediaRerankingMultilingual":0.5559071875,"EstonianValenceClassification":0.290342,"STS15":0.743766,"MLQARetrieval":0.04641326530612245,"HALClusteringS2S.v2":0.065756,"PoemSentimentClassification":0.365087,"BrazilianToxicTweetsClassification":0.1854,"StatcanDialogueDatasetRetrieval":0.0042725,"STS17":0.29709318181818184,"NordicLangClassification":0.465233,"ArXivHierarchicalClusteringP2P":0.508803,"NusaTranslationBitextMining":0.584061909090909,"MassiveIntentClassification":0.1703475294117647,"CLSClusteringP2P.v2":0.093387,"WikipediaRetrievalMultilingual":0.144711875,"SinhalaNewsClassification":0.348877,"StackExchangeClustering.v2":0.432543,"MasakhaNEWSClassification":0.4251234375,"NusaX-senti":0.5448125,"CataloniaTweetClassification":0.433406,"OpusparcusPC":0.8881694166666666,"ArmenianParaphrasePC":0.850934,"KorHateSpeechMLClassification":0.044723,"WikiClusteringP2P.v2":0.1907917142857143,"AmazonCounterfactualClassification":0.612616625,"ArXivHierarchicalClusteringS2S":0.483824,"NepaliNewsClassification":0.400049,"ArguAna":0.27657,"AILAStatutes":0.13806,"ToxicConversationsClassification":0.574365,"IndicGenBenchFloresBitextMining":0.05193376724137931,"CSFDSKMovieReviewSentimentClassification":0.205762,"SiswatiNewsClassification":0.365,"CEDRClassification":0.3686503719447396,"TempReasonL1":0.00903,"BiorxivClusteringP2P.v2":0.246129,"NorwegianCourtsBitextMining":0.914474,"PunjabiNewsClassification":0.671338,"SpartQA":0.06279,"BUCC.v2":0.2526775,"BornholmBitextMining":0.376578,"BibleNLPBitextMining":0.009251315217391304,"SIB200ClusteringS2S":0.048221969543147204,"RTE3":0.8577525,"TERRa":0.5186855842521659,"SwahiliNewsClassification":0.32793,"DBpediaClassification":0.75708,"HagridRetrieval":0.78021,"MultiHateClassification":0.5415,"WikiCitiesClustering":0.492865,"Tatoeba":0.05446609821428572,"STS14":0.602823,"KurdishSentimentClassification":0.550629,"PpcPC":0.708388,"STSBenchmark":0.630216,"MasakhaNEWSClusteringS2S":0.3410174375,"MIRACLRetrievalHardNegatives":0.006848888888888889,"NTREXBitextMining":0.13180345668058455,"DalajClassification":0.506081,"SICK-R":0.610656,"NollySentiBitextMining":0.26390675,"SCIDOCS":0.01185,"BelebeleRetrieval":0.07722122340425532,"IsiZuluNewsClassification":0.199468,"TwitterHjerneRetrieval":0.0208,"STSB":0.188,"STSES":0.645836,"KorSarcasmClassification":0.546436,"WinoGrande":0.01418,"SentimentAnalysisHindi":0.352582,"RuBQReranking":0.46090926428296647,"CyrillicTurkicLangClassification":0.501367,"FilipinoShopeeReviewsClassification":0.26467300000000005,"STS22.v2":0.2839770555555556,"RomaniBibleClustering":0.39596,"MacedonianTweetSentimentClassification":0.401054,"AfriSentiClassification":0.3458105,"STS12":0.651195,"LegalBenchCorporateLobbying":0.60186,"TweetTopicSingleClassification":0.469581,"MultiEURLEXMultilabelClassification":0.016915652173913043,"T2Reranking":0.531911,"GreekLegalCodeClassification":0.0169435,"SlovakMovieReviewSentimentClassification":0.521387,"FaroeseSTS":0.577677,"SwissJudgementClassification":0.5283663333333334,"TwitterURLCorpus":0.779789,"TRECCOVID":0.08672,"IndicLangClassification":0.109051,"GujaratiNewsClassification":0.41305,"ItaCaseholdClassification":0.182353,"FloresBitextMining":0.07071441570076306,"Robust04InstructionRetrieval":-0.025447,"BulgarianStoreReviewSentimentClassfication":0.395055,"OdiaNewsClassification":0.460116,"TswanaNewsClassification":0.150719,"PlscClusteringP2P.v2":0.63606,"FinancialPhrasebankClassification":0.625618,"News21InstructionRetrieval":0.013857,"StackOverflowQA":0.19965,"Core17InstructionRetrieval":0.008796,"WebLINXCandidatesReranking":0.08536683333333334,"PAC":0.621894,"VoyageMMarcoReranking":0.161105,"MedrxivClusteringP2P.v2":0.26866,"GermanSTSBenchmark":0.6007015,"AlloprofReranking":0.279354,"AlloProfClusteringS2S.v2":0.161847,"ScalaClassification":0.50281975,"indonli":0.485499,"IN22GenBitextMining":0.09622879841897233,"CovidRetrieval":0.00105,"BigPatentClustering.v2":0.277781,"PawsXPairClassification":0.47967771428571426,"NusaXBitextMining":0.09804581818181818,"NusaParagraphEmotionClassification":0.23263910000000002,"LEMBPasskeyRetrieval":0.1,"CTKFactsNLI":0.7008255,"DiaBlaBitextMining":0.040929,"IndonesianIdClickbaitClassification":0.554288},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"experiments":null},{"rank":177,"model":{"name":"cointegrated/rubert-tiny","url":"https://huggingface.co/cointegrated/rubert-tiny","zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.012,"embeddingDim":312,"maxTokens":512.0,"releaseDate":"2021-05-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":45.0,"license":"mit","publicTrainingCode":"https://gist.github.com/avidale/7bc6350f26196918bf339c01261f5c60","publicTrainingData":null,"adaptedFrom":"google-bert/bert-base-multilingual-cased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Tatoeba"]},"zeroShotPct":99,"activeParamsB":0.003,"totalParamsB":0.012,"embeddingDim":312,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.008903,"MultilabelClassification":0.13860125009471885,"Classification":0.4384607405852299,"Retrieval":0.12093411385712677,"Reranking":0.33178847205789874,"STS":0.4043635827020202,"Clustering":0.28735566149610225,"BitextMining":0.170785162487251},"scoresByTask":{"SemRel24STS":0.24688066666666666,"FinParaSTS":-0.009507,"PolEmo2.0-OUT":0.338057,"JSICK":0.41044,"SwednClusteringP2P":0.0353655,"MalteseNewsClassification":0.101306,"CzechProductReviewSentimentClassification":0.411572,"STS13":0.633996,"IndicCrosslingualSTS":0.010317333333333331,"SprintDuplicateQuestions":0.532726,"WikipediaRerankingMultilingual":0.527752125,"EstonianValenceClassification":0.302323,"STS15":0.67318,"MLQARetrieval":0.026982755102040817,"HALClusteringS2S.v2":0.080483,"PoemSentimentClassification":0.4146795,"BrazilianToxicTweetsClassification":0.164746,"StatcanDialogueDatasetRetrieval":0.00583,"STS17":0.20077954545454543,"NordicLangClassification":0.548033,"ArXivHierarchicalClusteringP2P":0.514023,"NusaTranslationBitextMining":0.5271916363636364,"MassiveIntentClassification":0.24265614705882355,"CLSClusteringP2P.v2":0.070527,"WikipediaRetrievalMultilingual":0.11511125,"SinhalaNewsClassification":0.391797,"StackExchangeClustering.v2":0.464793,"MasakhaNEWSClassification":0.4803920625,"NusaX-senti":0.535,"CataloniaTweetClassification":0.43807799999999997,"OpusparcusPC":0.8772093333333334,"ArmenianParaphrasePC":0.847144,"KorHateSpeechMLClassification":0.033481,"WikiClusteringP2P.v2":0.18729528571428572,"AmazonCounterfactualClassification":0.630424375,"ArXivHierarchicalClusteringS2S":0.491871,"NepaliNewsClassification":0.415771,"ArguAna":0.24164,"AILAStatutes":0.12635,"ToxicConversationsClassification":0.599512,"IndicGenBenchFloresBitextMining":0.004018724137931034,"CSFDSKMovieReviewSentimentClassification":0.195264,"SiswatiNewsClassification":0.7225,"CEDRClassification":0.3738575982996812,"TempReasonL1":0.00155,"BiorxivClusteringP2P.v2":0.231505,"NorwegianCourtsBitextMining":0.866228,"PunjabiNewsClassification":0.570701,"SpartQA":0.0334,"BUCC.v2":0.1666015,"BornholmBitextMining":0.221236,"BibleNLPBitextMining":0.004701433574879227,"SIB200ClusteringS2S":0.046947548223350254,"RTE3":0.8677905,"TERRa":0.5285217809384593,"SwahiliNewsClassification":0.380225,"DBpediaClassification":0.792139,"HagridRetrieval":0.6654,"MultiHateClassification":0.5555727272727272,"WikiCitiesClustering":0.399476,"Tatoeba":0.030137517857142856,"STS14":0.54883,"KurdishSentimentClassification":0.601459,"PpcPC":0.696505,"STSBenchmark":0.558644,"MasakhaNEWSClusteringS2S":0.30220525,"MIRACLRetrievalHardNegatives":0.003951666666666667,"NTREXBitextMining":0.04798381524008351,"DalajClassification":0.506306,"SICK-R":0.603934,"NollySentiBitextMining":0.20962225,"SCIDOCS":0.00863,"BelebeleRetrieval":0.04463837765957447,"IsiZuluNewsClassification":0.23258,"TwitterHjerneRetrieval":0.02057,"STSB":0.1896235,"STSES":0.551823,"KorSarcasmClassification":0.541113,"WinoGrande":0.02337,"SentimentAnalysisHindi":0.373452,"RuBQReranking":0.3543737073473925,"CyrillicTurkicLangClassification":0.616064,"FilipinoShopeeReviewsClassification":0.250635,"STS22.v2":0.25268977777777774,"RomaniBibleClustering":0.388129,"MacedonianTweetSentimentClassification":0.413521,"AfriSentiClassification":0.3506206666666667,"STS12":0.496569,"LegalBenchCorporateLobbying":0.53558,"TweetTopicSingleClassification":0.422445,"MultiEURLEXMultilabelClassification":0.019615652173913044,"T2Reranking":0.558596,"GreekLegalCodeClassification":0.0378415,"SlovakMovieReviewSentimentClassification":0.531982,"FaroeseSTS":0.571913,"SwissJudgementClassification":0.5251656666666666,"TwitterURLCorpus":0.719706,"TRECCOVID":0.09474,"IndicLangClassification":0.152298,"GujaratiNewsClassification":0.399469,"ItaCaseholdClassification":0.304525,"FloresBitextMining":0.022612203540036704,"Robust04InstructionRetrieval":-0.041238,"BulgarianStoreReviewSentimentClassfication":0.375824,"OdiaNewsClassification":0.481363,"TswanaNewsClassification":0.227721,"PlscClusteringP2P.v2":0.641925,"FinancialPhrasebankClassification":0.605786,"News21InstructionRetrieval":0.010442,"StackOverflowQA":0.16657,"Core17InstructionRetrieval":0.004087,"WebLINXCandidatesReranking":0.078277,"PAC":0.61587,"VoyageMMarcoReranking":0.157571,"MedrxivClusteringP2P.v2":0.274527,"GermanSTSBenchmark":0.5297045,"AlloprofReranking":0.314161,"AlloProfClusteringS2S.v2":0.173352,"ScalaClassification":0.502661,"indonli":0.508556,"IN22GenBitextMining":0.06502457707509882,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.295266,"PawsXPairClassification":0.47355578571428575,"NusaXBitextMining":0.03195245454545454,"NusaParagraphEmotionClassification":0.27093219999999996,"LEMBPasskeyRetrieval":0.0625,"CTKFactsNLI":0.6979690000000001,"DiaBlaBitextMining":0.022897,"IndonesianIdClickbaitClassification":0.549481},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"experiments":null},{"rank":178,"model":{"name":"DeepPavlov/rubert-base-cased","url":"https://huggingface.co/DeepPavlov/rubert-base-cased","zeroShotPct":98,"activeParamsB":1.188,"totalParamsB":1.28,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2020-03-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":"@misc{kuratov2019adaptationdeepbidirectionalmultilingual,\n title={Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language},\n author={Yuri Kuratov and Mikhail Arkhipov},\n year={2019},\n eprint={1905.07213},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/1905.07213},\n }","memoryUsageMb":4883.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google/bert_uncased_L-12_H-768_A-12","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":98,"activeParamsB":1.188,"totalParamsB":1.28,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.008025333333333334,"MultilabelClassification":0.1283181243265721,"Classification":0.4486985096116776,"Reranking":0.3243234662839018,"STS":0.3137157891414142},"scoresByTask":{"SemRel24STS":0.26766275,"FinParaSTS":-0.027881000000000003,"PolEmo2.0-OUT":0.341903,"JSICK":0.51683,"SwednClusteringP2P":0.0273845,"MalteseNewsClassification":0.085329,"CzechProductReviewSentimentClassification":0.418457,"STS13":0.398322,"IndicCrosslingualSTS":-0.015549416666666663,"SprintDuplicateQuestions":0.218011,"WikipediaRerankingMultilingual":0.458892125,"EstonianValenceClassification":0.3,"STS15":0.430519,"MLQARetrieval":0.024309081632653058,"HALClusteringS2S.v2":0.111733,"PoemSentimentClassification":0.3091165,"BrazilianToxicTweetsClassification":0.172266,"StatcanDialogueDatasetRetrieval":0.0006850000000000001,"STS17":0.1855361818181818,"NordicLangClassification":0.607467,"ArXivHierarchicalClusteringP2P":0.500572,"NusaTranslationBitextMining":0.47579554545454544,"MassiveIntentClassification":0.26459899019607847,"CLSClusteringP2P.v2":0.119984,"WikipediaRetrievalMultilingual":0.0469325,"SinhalaNewsClassification":0.36582,"StackExchangeClustering.v2":0.413124,"MasakhaNEWSClassification":0.4684738125,"NusaX-senti":0.4998125,"CataloniaTweetClassification":0.4471115,"OpusparcusPC":0.8456241666666666,"ArmenianParaphrasePC":0.850956,"KorHateSpeechMLClassification":0.029553,"WikiClusteringP2P.v2":0.17003392857142857,"AmazonCounterfactualClassification":0.61965625,"ArXivHierarchicalClusteringS2S":0.498966,"NepaliNewsClassification":0.476514,"ArguAna":0.13021,"AILAStatutes":0.11527,"ToxicConversationsClassification":0.553564,"IndicGenBenchFloresBitextMining":0.0031194741379310343,"CSFDSKMovieReviewSentimentClassification":0.204785,"SiswatiNewsClassification":0.72625,"CEDRClassification":0.33586609989373006,"TempReasonL1":0.00237,"BiorxivClusteringP2P.v2":0.184333,"NorwegianCourtsBitextMining":0.679386,"PunjabiNewsClassification":0.635669,"SpartQA":0.00034,"BornholmBitextMining":0.126096,"RTE3":0.867082,"TERRa":0.5317349296143791,"SwahiliNewsClassification":0.420166,"DBpediaClassification":0.804736,"HagridRetrieval":0.40701,"MultiHateClassification":0.5451727272727273,"WikiCitiesClustering":0.535697,"STS14":0.34892,"KurdishSentimentClassification":0.60916,"PpcPC":0.707991,"STSBenchmark":0.398376,"MasakhaNEWSClusteringS2S":0.3074053125,"MIRACLRetrievalHardNegatives":0.0029683333333333332,"DalajClassification":0.49955,"SICK-R":0.442201,"NollySentiBitextMining":0.13120375,"SCIDOCS":0.00346,"IsiZuluNewsClassification":0.235638,"TwitterHjerneRetrieval":0.07561,"STSB":0.3926585,"STSES":0.518092,"KorSarcasmClassification":0.53125,"WinoGrande":0.00034,"SentimentAnalysisHindi":0.368924,"RuBQReranking":0.41654183937007777,"CyrillicTurkicLangClassification":0.81328125,"FilipinoShopeeReviewsClassification":0.238159,"STS22.v2":0.24322411111111109,"RomaniBibleClustering":0.375363,"MacedonianTweetSentimentClassification":0.380421,"AfriSentiClassification":0.3479156666666667,"STS12":0.277529,"LegalBenchCorporateLobbying":0.15849,"TweetTopicSingleClassification":0.441524,"MultiEURLEXMultilabelClassification":0.018576521739130436,"T2Reranking":0.532562,"GreekLegalCodeClassification":0.090332,"SlovakMovieReviewSentimentClassification":0.53042,"FaroeseSTS":0.238506,"SwissJudgementClassification":0.5268516666666666,"TwitterURLCorpus":0.555186,"TRECCOVID":0.04049,"IndicLangClassification":0.256979,"GujaratiNewsClassification":0.402883,"ItaCaseholdClassification":0.347059,"Robust04InstructionRetrieval":0.013992,"BulgarianStoreReviewSentimentClassfication":0.354945,"OdiaNewsClassification":0.592629,"TswanaNewsClassification":0.225257,"PlscClusteringP2P.v2":0.647223,"FinancialPhrasebankClassification":0.535512,"News21InstructionRetrieval":0.045684,"StackOverflowQA":0.0875,"Core17InstructionRetrieval":-0.0356,"WebLINXCandidatesReranking":0.06474083333333333,"PAC":0.617782,"VoyageMMarcoReranking":0.180633,"MedrxivClusteringP2P.v2":0.244953,"GermanSTSBenchmark":0.4045065,"AlloprofReranking":0.292571,"AlloProfClusteringS2S.v2":0.190534,"ScalaClassification":0.50281975,"indonli":0.50876,"IN22GenBitextMining":0.027835667984189724,"CovidRetrieval":0.00066,"BigPatentClustering.v2":0.250952,"PawsXPairClassification":0.48768849999999997,"NusaXBitextMining":0.011335727272727273,"NusaParagraphEmotionClassification":0.2607433,"LEMBPasskeyRetrieval":0.11750000000000001,"CTKFactsNLI":0.7106005,"DiaBlaBitextMining":0.019532,"IndonesianIdClickbaitClassification":0.574727},"scoresByCustomGroup":{},"trainedOnTasks":["WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":179,"model":{"name":"silma-ai/silma-embeddding-matryoshka-v0.1","url":"https://huggingface.co/silma-ai/silma-embeddding-matryoshka-v0.1","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-10-12","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","English"],"citation":null,"memoryUsageMb":516.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"/workspace/v3-matryoshka_aubmindlab-bert-base-arabertv02-2024-10-12_13-55-06/checkpoint-26250","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.005708666666666665,"MultilabelClassification":0.13074018260869563,"Classification":0.41305751236734656,"Retrieval":0.15753306404387996,"Reranking":0.30724180902777776,"Clustering":0.272952544396415,"PairClassification":0.6941865616883117,"BitextMining":0.2172353842468451},"scoresByTask":{"SemRel24STS":0.34087191666666666,"FinParaSTS":0.11480950000000001,"PolEmo2.0-OUT":0.332389,"JSICK":0.329633,"SwednClusteringP2P":0.0431395,"MalteseNewsClassification":0.066086,"CzechProductReviewSentimentClassification":0.402637,"STS13":0.518854,"IndicCrosslingualSTS":0.04274591666666666,"SprintDuplicateQuestions":0.734172,"WikipediaRerankingMultilingual":0.5593266875,"EstonianValenceClassification":0.295599,"STS15":0.67847,"MLQARetrieval":0.12398734693877551,"HALClusteringS2S.v2":0.049587,"PoemSentimentClassification":0.28456950000000003,"BrazilianToxicTweetsClassification":0.163916,"StatcanDialogueDatasetRetrieval":0.0248975,"NordicLangClassification":0.445567,"ArXivHierarchicalClusteringP2P":0.484272,"NusaTranslationBitextMining":0.6265365454545454,"MassiveIntentClassification":0.20188542156862746,"CLSClusteringP2P.v2":0.105595,"WikipediaRetrievalMultilingual":0.13832687500000002,"SinhalaNewsClassification":0.352441,"StackExchangeClustering.v2":0.418662,"MasakhaNEWSClassification":0.4622598125,"NusaX-senti":0.5085000000000001,"CataloniaTweetClassification":0.416421,"OpusparcusPC":0.8473412499999999,"ArmenianParaphrasePC":0.846707,"KorHateSpeechMLClassification":0.047226,"WikiClusteringP2P.v2":0.200445,"AmazonCounterfactualClassification":0.596275875,"ArXivHierarchicalClusteringS2S":0.471262,"NepaliNewsClassification":0.504785,"ArguAna":0.22512,"AILAStatutes":0.09343,"ToxicConversationsClassification":0.572266,"IndicGenBenchFloresBitextMining":0.08369306896551724,"CSFDSKMovieReviewSentimentClassification":0.207715,"SiswatiNewsClassification":0.705,"CEDRClassification":0.362699,"TempReasonL1":0.0114,"BiorxivClusteringP2P.v2":0.175322,"NorwegianCourtsBitextMining":0.86038,"PunjabiNewsClassification":0.663694,"SpartQA":0.00909,"BUCC.v2":0.07659049999999999,"BornholmBitextMining":0.169844,"BibleNLPBitextMining":0.017957464371980675,"SIB200ClusteringS2S":0.05594352284263959,"RTE3":0.88160225,"TERRa":0.519011,"SwahiliNewsClassification":0.340869,"DBpediaClassification":0.751709,"HagridRetrieval":0.78486,"MultiHateClassification":0.5634272727272728,"WikiCitiesClustering":0.440848,"Tatoeba":0.06098939285714285,"STS14":0.529933,"KurdishSentimentClassification":0.556165,"PpcPC":0.739628,"STSBenchmark":0.618289,"MasakhaNEWSClusteringS2S":0.3118516875,"MIRACLRetrievalHardNegatives":0.027775,"NTREXBitextMining":0.18941978392484343,"DalajClassification":0.498198,"SICK-R":0.637455,"NollySentiBitextMining":0.27895749999999997,"SCIDOCS":0.01569,"BelebeleRetrieval":0.12685843085106382,"IsiZuluNewsClassification":0.22367,"TwitterHjerneRetrieval":0.03698,"STSB":0.0624615,"STSES":0.576077,"KorSarcasmClassification":0.529883,"WinoGrande":0.32093,"SentimentAnalysisHindi":0.346178,"RuBQReranking":0.17393,"CyrillicTurkicLangClassification":0.150684,"FilipinoShopeeReviewsClassification":0.25004899999999997,"RomaniBibleClustering":0.383457,"MacedonianTweetSentimentClassification":0.308341,"AfriSentiClassification":0.39002033333333336,"STS12":0.551628,"LegalBenchCorporateLobbying":0.4916,"TweetTopicSingleClassification":0.438925,"MultiEURLEXMultilabelClassification":0.01377391304347826,"T2Reranking":0.550361,"GreekLegalCodeClassification":0.0424075,"SlovakMovieReviewSentimentClassification":0.527539,"FaroeseSTS":0.399127,"SwissJudgementClassification":0.5102156666666667,"TwitterURLCorpus":0.801466,"TRECCOVID":0.05195,"IndicLangClassification":0.129029,"GujaratiNewsClassification":0.402731,"ItaCaseholdClassification":0.331674,"FloresBitextMining":0.14444648667053028,"Robust04InstructionRetrieval":-0.010552,"BulgarianStoreReviewSentimentClassfication":0.300549,"OdiaNewsClassification":0.547394,"TswanaNewsClassification":0.206776,"PlscClusteringP2P.v2":0.626223,"FinancialPhrasebankClassification":0.55932,"News21InstructionRetrieval":0.017566,"StackOverflowQA":0.19434,"Core17InstructionRetrieval":0.010112,"WebLINXCandidatesReranking":0.07321716666666667,"PAC":0.618216,"VoyageMMarcoReranking":0.145866,"MedrxivClusteringP2P.v2":0.247567,"GermanSTSBenchmark":0.5561205,"AlloprofReranking":0.34075,"AlloProfClusteringS2S.v2":0.134389,"ScalaClassification":0.50224625,"indonli":0.489317,"IN22GenBitextMining":0.09524579841897232,"CovidRetrieval":0.00086,"BigPatentClustering.v2":0.218677,"PawsXPairClassification":0.5016960714285714,"NusaXBitextMining":0.15543845454545455,"NusaParagraphEmotionClassification":0.2540654,"LEMBPasskeyRetrieval":0.1575,"CTKFactsNLI":0.702541,"DiaBlaBitextMining":0.064561,"IndonesianIdClickbaitClassification":0.529187,"XNLI":0.5725706071428572},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":180,"model":{"name":"minishlab/potion-base-2M","url":"https://huggingface.co/minishlab/potion-base-2M","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":64,"maxTokens":null,"releaseDate":"2024-10-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":7.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/minishlab/tokenlearn-c4-en-bge-base-en-v1.5","adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0059246666666666675,"MultilabelClassification":0.11534252173913044,"Classification":0.42254425739879986,"Retrieval":0.23992210460188806,"Reranking":0.37377238541666663,"Clustering":0.3100354457090736,"PairClassification":0.7042627405476122,"BitextMining":0.12188830410002824},"scoresByTask":{"SemRel24STS":0.37865466666666664,"FinParaSTS":0.003521,"PolEmo2.0-OUT":0.267814,"JSICK":0.622587,"SwednClusteringP2P":0.050483,"MalteseNewsClassification":0.054332,"CzechProductReviewSentimentClassification":0.417871,"STS13":0.7573113726697468,"IndicCrosslingualSTS":0.0034404999999999995,"SprintDuplicateQuestions":0.8817695295243927,"WikipediaRerankingMultilingual":0.6471773125,"EstonianValenceClassification":0.271149,"STS15":0.7632976845993337,"MLQARetrieval":0.05905183673469387,"HALClusteringS2S.v2":0.054676,"PoemSentimentClassification":0.42772,"BrazilianToxicTweetsClassification":0.154639,"StatcanDialogueDatasetRetrieval":0.0124,"NordicLangClassification":0.5519,"ArXivHierarchicalClusteringP2P":0.515629,"NusaTranslationBitextMining":0.31238218181818184,"MassiveIntentClassification":0.20763021568627452,"CLSClusteringP2P.v2":0.119314,"WikipediaRetrievalMultilingual":0.21718625,"SinhalaNewsClassification":0.312988,"StackExchangeClustering.v2":0.491211,"MasakhaNEWSClassification":0.4630501875,"NusaX-senti":0.5151249999999999,"CataloniaTweetClassification":0.42381625,"OpusparcusPC":0.8603024166666667,"ArmenianParaphrasePC":0.866421,"KorHateSpeechMLClassification":0.020177,"WikiClusteringP2P.v2":0.1973675,"AmazonCounterfactualClassification":0.614806125,"ArXivHierarchicalClusteringS2S":0.497898,"NepaliNewsClassification":0.477148,"ArguAna":0.32622,"AILAStatutes":0.15724,"ToxicConversationsClassification":0.66591796875,"IndicGenBenchFloresBitextMining":0.008831956896551725,"CSFDSKMovieReviewSentimentClassification":0.198535,"SiswatiNewsClassification":0.42625,"CEDRClassification":0.328002,"TempReasonL1":0.01706,"BiorxivClusteringP2P.v2":0.280915,"NorwegianCourtsBitextMining":0.809211,"PunjabiNewsClassification":0.679618,"SpartQA":0.1455,"BUCC.v2":0.005033,"BornholmBitextMining":0.165177,"BibleNLPBitextMining":0.0032302608695652176,"SIB200ClusteringS2S":0.029964756345177663,"RTE3":0.8652465,"TERRa":0.512359,"SwahiliNewsClassification":0.353076,"DBpediaClassification":0.691309,"HagridRetrieval":0.92819,"MultiHateClassification":0.5199454545454546,"WikiCitiesClustering":0.612471,"Tatoeba":0.015961723214285715,"STS14":0.6927997439795548,"KurdishSentimentClassification":0.568143,"PpcPC":0.722956,"STSBenchmark":0.7280800903257308,"MasakhaNEWSClusteringS2S":0.303693875,"MIRACLRetrievalHardNegatives":0.04594333333333333,"NTREXBitextMining":0.021431553235908143,"DalajClassification":0.503041,"SICK-R":0.6285583348143348,"NollySentiBitextMining":0.135274,"SCIDOCS":0.08163000000000001,"BelebeleRetrieval":0.08062646276595745,"IsiZuluNewsClassification":0.199202,"TwitterHjerneRetrieval":0.01783,"STSB":0.3942145,"STSES":0.598271,"KorSarcasmClassification":0.515332,"WinoGrande":0.24792,"SentimentAnalysisHindi":0.362669,"RuBQReranking":0.314447,"CyrillicTurkicLangClassification":0.515283,"FilipinoShopeeReviewsClassification":0.250122,"STS22.v2":0.3154857222222222,"RomaniBibleClustering":0.372688,"MacedonianTweetSentimentClassification":0.351097,"AfriSentiClassification":0.37324908333333334,"STS12":0.6207913034464432,"LegalBenchCorporateLobbying":0.75851,"TweetTopicSingleClassification":0.498228,"MultiEURLEXMultilabelClassification":0.019562608695652173,"T2Reranking":0.607361,"GreekLegalCodeClassification":0.037670999999999996,"SlovakMovieReviewSentimentClassification":0.513574,"FaroeseSTS":0.579554,"SwissJudgementClassification":0.5116453333333334,"TwitterURLCorpus":0.7933675212612457,"TRECCOVID":0.40475,"IndicLangClassification":0.440206,"GujaratiNewsClassification":0.370637,"ItaCaseholdClassification":0.229412,"FloresBitextMining":0.008758053945716217,"Robust04InstructionRetrieval":-0.039893,"BulgarianStoreReviewSentimentClassfication":0.318681,"OdiaNewsClassification":0.538806,"TswanaNewsClassification":0.222177,"PlscClusteringP2P.v2":0.618944,"FinancialPhrasebankClassification":0.589797,"News21InstructionRetrieval":0.036815,"StackOverflowQA":0.40921,"Core17InstructionRetrieval":0.020852,"WebLINXCandidatesReranking":0.06632300000000001,"PAC":0.52117,"VoyageMMarcoReranking":0.239715,"MedrxivClusteringP2P.v2":0.299898,"GermanSTSBenchmark":0.607472,"AlloprofReranking":0.367611,"AlloProfClusteringS2S.v2":0.184651,"ScalaClassification":0.49948725,"indonli":0.487299,"IN22GenBitextMining":0.010101768774703557,"CovidRetrieval":0.04683,"BigPatentClustering.v2":0.330763,"PawsXPairClassification":0.47025242857142857,"NusaXBitextMining":0.06604945454545454,"NusaParagraphEmotionClassification":0.2380382,"LEMBPasskeyRetrieval":0.3625,"CTKFactsNLI":0.71028,"DiaBlaBitextMining":0.023106,"IndonesianIdClickbaitClassification":0.516066,"XNLI":0.5766367499999999},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":181,"model":{"name":"Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2024-06-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":418.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"tomaarsen/mpnet-base-all-nli-triplet","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":514,"meanTask":0.3519951299428468,"meanTaskType":0.2946373670356339,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.028386333333333336,"MultilabelClassification":0.1230651304347826,"Classification":0.44370256944513536,"Retrieval":0.13118075264650778,"Reranking":0.3584046527777778,"STS":0.49122061869532896,"Clustering":0.2740295001388008,"PairClassification":0.707225422077922,"BitextMining":0.15129399043778308},"scoresByTask":{"SemRel24STS":0.40961241666666665,"FinParaSTS":0.0161565,"PolEmo2.0-OUT":0.312753,"JSICK":0.661369,"SwednClusteringP2P":0.058200999999999996,"MalteseNewsClassification":0.082586,"CzechProductReviewSentimentClassification":0.433887,"STS13":0.5604247097489131,"IndicCrosslingualSTS":0.07110283333333334,"SprintDuplicateQuestions":0.836486,"WikipediaRerankingMultilingual":0.65949275,"EstonianValenceClassification":0.276284,"STS15":0.7374453589715445,"MLQARetrieval":0.044621734693877556,"HALClusteringS2S.v2":0.047736,"PoemSentimentClassification":0.38305900000000004,"BrazilianToxicTweetsClassification":0.177246,"StatcanDialogueDatasetRetrieval":0.0082875,"STS17":0.34092336363636366,"NordicLangClassification":0.490867,"ArXivHierarchicalClusteringP2P":0.501141,"NusaTranslationBitextMining":0.49093318181818185,"MassiveIntentClassification":0.2809657156862745,"CLSClusteringP2P.v2":0.10681,"WikipediaRetrievalMultilingual":0.217491875,"SinhalaNewsClassification":0.381934,"StackExchangeClustering.v2":0.388088,"MasakhaNEWSClassification":0.45563225,"NusaX-senti":0.5352291666666666,"CataloniaTweetClassification":0.41739475,"OpusparcusPC":0.8626165,"ArmenianParaphrasePC":0.886794,"KorHateSpeechMLClassification":0.02646,"WikiClusteringP2P.v2":0.18681,"AmazonCounterfactualClassification":0.617049125,"ArXivHierarchicalClusteringS2S":0.501554,"NepaliNewsClassification":0.536084,"ArguAna":0.18862,"AILAStatutes":0.10873,"ToxicConversationsClassification":0.590869,"IndicGenBenchFloresBitextMining":0.013872931034482758,"CSFDSKMovieReviewSentimentClassification":0.212061,"SiswatiNewsClassification":0.61625,"CEDRClassification":0.311158,"TempReasonL1":0.01085,"BiorxivClusteringP2P.v2":0.189942,"NorwegianCourtsBitextMining":0.87406,"PunjabiNewsClassification":0.580255,"SpartQA":0.00626,"BUCC.v2":0.0099835,"BornholmBitextMining":0.208996,"BibleNLPBitextMining":0.002366593599033816,"SIB200ClusteringS2S":0.03235231472081218,"RTE3":0.86945375,"TERRa":0.515888,"SwahiliNewsClassification":0.391016,"DBpediaClassification":0.603174,"HagridRetrieval":0.49483,"MultiHateClassification":0.5430545454545455,"WikiCitiesClustering":0.479266,"Tatoeba":0.020016044642857143,"STS14":0.5880575077741524,"KurdishSentimentClassification":0.602265,"PpcPC":0.729883,"STSBenchmark":0.6756341643518167,"MasakhaNEWSClusteringS2S":0.2953916875,"MIRACLRetrievalHardNegatives":0.013666666666666667,"NTREXBitextMining":0.048147170146137785,"DalajClassification":0.501351,"SICK-R":0.689386835022992,"NollySentiBitextMining":0.1546485,"SCIDOCS":0.02007,"BelebeleRetrieval":0.06471577127659575,"IsiZuluNewsClassification":0.244016,"TwitterHjerneRetrieval":0.01961,"STSB":0.303254,"STSES":0.641988,"KorSarcasmClassification":0.520312,"WinoGrande":0.03677,"SentimentAnalysisHindi":0.394352,"RuBQReranking":0.336952,"CyrillicTurkicLangClassification":0.60708,"FilipinoShopeeReviewsClassification":0.24541000000000002,"STS22.v2":0.2975727222222222,"RomaniBibleClustering":0.362459,"MacedonianTweetSentimentClassification":0.356453,"AfriSentiClassification":0.36516008333333333,"STS12":0.6871669873972587,"LegalBenchCorporateLobbying":0.54185,"TweetTopicSingleClassification":0.361843,"MultiEURLEXMultilabelClassification":0.017875652173913043,"T2Reranking":0.524755,"GreekLegalCodeClassification":0.0619385,"SlovakMovieReviewSentimentClassification":0.53877,"FaroeseSTS":0.599617,"SwissJudgementClassification":0.5280819999999999,"TwitterURLCorpus":0.775046,"TRECCOVID":0.13531,"IndicLangClassification":0.543159,"GujaratiNewsClassification":0.410243,"ItaCaseholdClassification":0.584163,"FloresBitextMining":0.024858638244953154,"Robust04InstructionRetrieval":-0.059642,"BulgarianStoreReviewSentimentClassfication":0.339011,"OdiaNewsClassification":0.58133,"TswanaNewsClassification":0.227105,"PlscClusteringP2P.v2":0.608742,"FinancialPhrasebankClassification":0.526634,"News21InstructionRetrieval":-0.007081,"StackOverflowQA":0.28957,"Core17InstructionRetrieval":-0.018436,"WebLINXCandidatesReranking":0.04356416666666666,"PAC":0.599392,"VoyageMMarcoReranking":0.217336,"MedrxivClusteringP2P.v2":0.256811,"GermanSTSBenchmark":0.5798185,"AlloprofReranking":0.368328,"AlloProfClusteringS2S.v2":0.12931,"ScalaClassification":0.50130625,"indonli":0.482459,"IN22GenBitextMining":0.035905679841897235,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.239858,"PawsXPairClassification":0.5193449285714286,"NusaXBitextMining":0.05321263636363637,"NusaParagraphEmotionClassification":0.2577941,"LEMBPasskeyRetrieval":0.16,"CTKFactsNLI":0.723887,"DiaBlaBitextMining":0.029821,"IndonesianIdClickbaitClassification":0.524222,"XNLI":0.5776214642857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":182,"model":{"name":"consciousAI/cai-lunaris-text-embeddings","url":"https://huggingface.co/consciousAI/cai-lunaris-text-embeddings","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-06-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"/root/.cache/torch/sentence_transformers/intfloat_e5-large-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.014577666666666664,"MultilabelClassification":0.1265421043478261,"Classification":0.4317350915314222,"Retrieval":0.2349022246479364,"Reranking":0.3437736145833334,"Clustering":0.31698991816137145,"PairClassification":0.6998455919913419,"BitextMining":0.13628995529863713},"scoresByTask":{"SemRel24STS":0.29770925,"FinParaSTS":0.07904900000000001,"PolEmo2.0-OUT":0.282591,"JSICK":0.498626,"SwednClusteringP2P":0.027699,"MalteseNewsClassification":0.087723,"CzechProductReviewSentimentClassification":0.381006,"STS13":0.740302851337788,"IndicCrosslingualSTS":-0.020156333333333335,"SprintDuplicateQuestions":0.912886,"WikipediaRerankingMultilingual":0.5639501875,"EstonianValenceClassification":0.268215,"STS15":0.7554712054246464,"MLQARetrieval":0.09580591836734693,"HALClusteringS2S.v2":0.095457,"PoemSentimentClassification":0.3883835,"BrazilianToxicTweetsClassification":0.165723,"StatcanDialogueDatasetRetrieval":0.104325,"NordicLangClassification":0.476167,"ArXivHierarchicalClusteringP2P":0.533533,"NusaTranslationBitextMining":0.3748055454545455,"MassiveIntentClassification":0.2563635294117647,"CLSClusteringP2P.v2":0.0984,"WikipediaRetrievalMultilingual":0.22376375,"SinhalaNewsClassification":0.332812,"StackExchangeClustering.v2":0.50878,"MasakhaNEWSClassification":0.4647445625,"NusaX-senti":0.4758541666666667,"CataloniaTweetClassification":0.4122975,"OpusparcusPC":0.8381223333333333,"ArmenianParaphrasePC":0.866215,"KorHateSpeechMLClassification":0.036426,"WikiClusteringP2P.v2":0.20879085714285714,"AmazonCounterfactualClassification":0.53546775,"ArXivHierarchicalClusteringS2S":0.513814,"NepaliNewsClassification":0.475684,"ArguAna":0.3726900000000001,"AILAStatutes":0.16806,"ToxicConversationsClassification":0.551904,"IndicGenBenchFloresBitextMining":0.01170418103448276,"CSFDSKMovieReviewSentimentClassification":0.189014,"SiswatiNewsClassification":0.73125,"CEDRClassification":0.326142,"TempReasonL1":0.00224,"BiorxivClusteringP2P.v2":0.272934,"NorwegianCourtsBitextMining":0.719625,"PunjabiNewsClassification":0.669427,"SpartQA":0.00602,"BUCC.v2":0.0402,"BornholmBitextMining":0.134636,"BibleNLPBitextMining":0.004970567028985507,"SIB200ClusteringS2S":0.04083739593908629,"RTE3":0.85012975,"TERRa":0.476053,"SwahiliNewsClassification":0.361133,"DBpediaClassification":0.666504,"HagridRetrieval":0.98479,"MultiHateClassification":0.5344727272727273,"WikiCitiesClustering":0.634173,"Tatoeba":0.02408461607142857,"STS14":0.6618263558486297,"KurdishSentimentClassification":0.567086,"PpcPC":0.683466,"STSBenchmark":0.7140167034949342,"MasakhaNEWSClusteringS2S":0.3166974375,"MIRACLRetrievalHardNegatives":0.043159444444444445,"NTREXBitextMining":0.07344898956158663,"DalajClassification":0.50045,"SICK-R":0.6898528351149499,"NollySentiBitextMining":0.17232124999999998,"SCIDOCS":0.10465,"BelebeleRetrieval":0.12546593085106383,"IsiZuluNewsClassification":0.235638,"TwitterHjerneRetrieval":0.03383,"STSB":0.25712,"STSES":0.547452,"KorSarcasmClassification":0.551172,"WinoGrande":0.1889,"SentimentAnalysisHindi":0.359813,"RuBQReranking":0.173911,"CyrillicTurkicLangClassification":0.486719,"FilipinoShopeeReviewsClassification":0.2368655,"STS22.v2":0.41730394444444446,"RomaniBibleClustering":0.384293,"MacedonianTweetSentimentClassification":0.342757,"AfriSentiClassification":0.3653685,"STS12":0.5850274640611661,"LegalBenchCorporateLobbying":0.73863,"TweetTopicSingleClassification":0.47342,"MultiEURLEXMultilabelClassification":0.016696521739130436,"T2Reranking":0.578334,"GreekLegalCodeClassification":0.038378999999999996,"SlovakMovieReviewSentimentClassification":0.510693,"FaroeseSTS":0.513471,"SwissJudgementClassification":0.537065,"TwitterURLCorpus":0.799426,"TRECCOVID":0.35647,"IndicLangClassification":0.453938,"GujaratiNewsClassification":0.384977,"ItaCaseholdClassification":0.48009,"FloresBitextMining":0.03982232111465275,"Robust04InstructionRetrieval":-0.041432,"BulgarianStoreReviewSentimentClassfication":0.351099,"OdiaNewsClassification":0.572549,"TswanaNewsClassification":0.193429,"PlscClusteringP2P.v2":0.650697,"FinancialPhrasebankClassification":0.617359,"News21InstructionRetrieval":-0.011321,"StackOverflowQA":0.37944,"Core17InstructionRetrieval":0.00902,"WebLINXCandidatesReranking":0.0877565,"PAC":0.603099,"VoyageMMarcoReranking":0.221353,"MedrxivClusteringP2P.v2":0.321822,"GermanSTSBenchmark":0.48452249999999997,"AlloprofReranking":0.437337,"AlloProfClusteringS2S.v2":0.194888,"ScalaClassification":0.5001585,"indonli":0.481882,"IN22GenBitextMining":0.027096221343873517,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.269023,"PawsXPairClassification":0.5456619285714286,"NusaXBitextMining":0.10007172727272727,"NusaParagraphEmotionClassification":0.2277707,"LEMBPasskeyRetrieval":0.3,"CTKFactsNLI":0.695697,"DiaBlaBitextMining":0.048983,"IndonesianIdClickbaitClassification":0.521423,"XNLI":0.5487624999999999},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":183,"model":{"name":"DeepPavlov/distilrubert-small-cased-conversational","url":"https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational","zeroShotPct":100,"activeParamsB":0.015,"totalParamsB":0.107,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-06-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":"@misc{https://doi.org/10.48550/arxiv.2205.02340,\n doi = {10.48550/ARXIV.2205.02340},\n url = {https://arxiv.org/abs/2205.02340},\n author = {Kolesnikova, Alina and Kuratov, Yuri and Konovalov, Vasily and Burtsev, Mikhail},\n keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},\n title = {Knowledge Distillation of Russian Language Models with Reduction of Vocabulary},\n publisher = {arXiv},\n year = {2022},\n copyright = {arXiv.org perpetual, non-exclusive license}\n }","memoryUsageMb":408.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"DeepPavlov/distilrubert-base-cased-conversational","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.015,"totalParamsB":0.107,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.006057,"MultilabelClassification":0.13110742024673103,"Classification":0.43814143444935855,"Retrieval":0.11294905007156528,"Reranking":0.33506855610099245,"STS":0.3620368360164141,"Clustering":0.2594653288388325},"scoresByTask":{"SemRel24STS":0.22622141666666665,"FinParaSTS":0.0007955000000000002,"PolEmo2.0-OUT":0.308907,"JSICK":0.29488,"SwednClusteringP2P":0.0080415,"MalteseNewsClassification":0.063822,"CzechProductReviewSentimentClassification":0.415381,"STS13":0.522222,"IndicCrosslingualSTS":-0.014726333333333334,"SprintDuplicateQuestions":0.331971,"WikipediaRerankingMultilingual":0.5124634375,"EstonianValenceClassification":0.29291,"STS15":0.606444,"MLQARetrieval":0.01982765306122449,"HALClusteringS2S.v2":0.034104,"PoemSentimentClassification":0.2926925,"BrazilianToxicTweetsClassification":0.181104,"StatcanDialogueDatasetRetrieval":0.004787499999999999,"STS17":0.24897018181818184,"NordicLangClassification":0.5934,"ArXivHierarchicalClusteringP2P":0.488063,"NusaTranslationBitextMining":0.415498,"MassiveIntentClassification":0.25774292156862744,"CLSClusteringP2P.v2":0.064014,"WikipediaRetrievalMultilingual":0.1247775,"SinhalaNewsClassification":0.37749,"StackExchangeClustering.v2":0.404085,"MasakhaNEWSClassification":0.4300919375,"NusaX-senti":0.5135416666666667,"CataloniaTweetClassification":0.44543675,"OpusparcusPC":0.8613714166666666,"ArmenianParaphrasePC":0.830198,"KorHateSpeechMLClassification":0.031468,"WikiClusteringP2P.v2":0.1746745,"AmazonCounterfactualClassification":0.65609625,"ArXivHierarchicalClusteringS2S":0.490006,"NepaliNewsClassification":0.532422,"ArguAna":0.15131,"AILAStatutes":0.14086,"ToxicConversationsClassification":0.588867,"IndicGenBenchFloresBitextMining":0.002081939655172414,"CSFDSKMovieReviewSentimentClassification":0.211084,"SiswatiNewsClassification":0.71375,"CEDRClassification":0.3619022316684378,"TempReasonL1":0.00879,"BiorxivClusteringP2P.v2":0.166814,"NorwegianCourtsBitextMining":0.790058,"PunjabiNewsClassification":0.547134,"SpartQA":0.0581,"BornholmBitextMining":0.133315,"SIB200ClusteringS2S":0.0308337614213198,"RTE3":0.86977425,"TERRa":0.5302144631004808,"SwahiliNewsClassification":0.334326,"DBpediaClassification":0.747656,"HagridRetrieval":0.63326,"MultiHateClassification":0.5408454545454545,"WikiCitiesClustering":0.366417,"STS14":0.467599,"KurdishSentimentClassification":0.615702,"PpcPC":0.710019,"STSBenchmark":0.559747,"MasakhaNEWSClusteringS2S":0.3000785,"MIRACLRetrievalHardNegatives":0.011428333333333334,"DalajClassification":0.501914,"SICK-R":0.567039,"NollySentiBitextMining":0.15511550000000002,"SCIDOCS":0.00483,"BelebeleRetrieval":0.03214191489361702,"IsiZuluNewsClassification":0.232846,"TwitterHjerneRetrieval":0.01303,"STSB":0.196603,"STSES":0.5268,"KorSarcasmClassification":0.544531,"WinoGrande":0.00617,"SentimentAnalysisHindi":0.363005,"RuBQReranking":0.42575739910595456,"CyrillicTurkicLangClassification":0.782958984375,"FilipinoShopeeReviewsClassification":0.2479005,"STS22.v2":0.24741711111111112,"RomaniBibleClustering":0.376435,"MacedonianTweetSentimentClassification":0.424583,"AfriSentiClassification":0.3579928333333333,"STS12":0.408283,"LegalBenchCorporateLobbying":0.40705,"TweetTopicSingleClassification":0.35824,"MultiEURLEXMultilabelClassification":0.017240869565217393,"T2Reranking":0.520743,"GreekLegalCodeClassification":0.037036,"SlovakMovieReviewSentimentClassification":0.527881,"FaroeseSTS":0.509306,"SwissJudgementClassification":0.5065543333333333,"TwitterURLCorpus":0.637764,"TRECCOVID":0.15182,"IndicLangClassification":0.159488,"GujaratiNewsClassification":0.401669,"ItaCaseholdClassification":0.363348,"Robust04InstructionRetrieval":-0.005967,"BulgarianStoreReviewSentimentClassfication":0.345604,"OdiaNewsClassification":0.595867,"TswanaNewsClassification":0.231622,"PlscClusteringP2P.v2":0.643485,"FinancialPhrasebankClassification":0.553401,"News21InstructionRetrieval":-0.014396,"StackOverflowQA":0.1399,"Core17InstructionRetrieval":0.002192,"WebLINXCandidatesReranking":0.06772650000000001,"PAC":0.579815,"VoyageMMarcoReranking":0.155515,"MedrxivClusteringP2P.v2":0.240616,"GermanSTSBenchmark":0.4249885,"AlloprofReranking":0.328206,"AlloProfClusteringS2S.v2":0.139899,"ScalaClassification":0.5010617500000001,"indonli":0.497298,"IN22GenBitextMining":0.03625612845849802,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.223879,"PawsXPairClassification":0.47324371428571427,"NusaXBitextMining":0.0045987272727272726,"NusaParagraphEmotionClassification":0.2641078,"LEMBPasskeyRetrieval":0.125,"CTKFactsNLI":0.7088825,"DiaBlaBitextMining":0.013256,"IndonesianIdClickbaitClassification":0.543179},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":184,"model":{"name":"Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-16","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":516.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"aubmindlab/bert-base-arabertv02","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512,"meanTask":0.3311388876135693,"meanTaskType":0.281840541576232,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.010652333333333333,"MultilabelClassification":0.12108941739130434,"Classification":0.40864625434906526,"Retrieval":0.1274141588316769,"Reranking":0.3014378611111111,"STS":0.4250824114377596,"Clustering":0.2641857264548586,"PairClassification":0.6875541125541126,"BitextMining":0.19050259872286654},"scoresByTask":{"SemRel24STS":0.3586278333333333,"FinParaSTS":0.0396855,"PolEmo2.0-OUT":0.326316,"JSICK":0.322501,"SwednClusteringP2P":0.018114,"MalteseNewsClassification":0.035568,"CzechProductReviewSentimentClassification":0.400488,"STS13":0.5195037157769884,"IndicCrosslingualSTS":0.0704365,"SprintDuplicateQuestions":0.780327,"WikipediaRerankingMultilingual":0.5493465,"EstonianValenceClassification":0.284841,"STS15":0.700994395240558,"MLQARetrieval":0.09089091836734695,"HALClusteringS2S.v2":0.04068,"PoemSentimentClassification":0.2918725,"BrazilianToxicTweetsClassification":0.175781,"StatcanDialogueDatasetRetrieval":0.007915,"STS17":0.28456,"NordicLangClassification":0.463433,"ArXivHierarchicalClusteringP2P":0.483142,"NusaTranslationBitextMining":0.559888909090909,"MassiveIntentClassification":0.21305177450980392,"CLSClusteringP2P.v2":0.096483,"WikipediaRetrievalMultilingual":0.152621875,"SinhalaNewsClassification":0.363672,"StackExchangeClustering.v2":0.414071,"MasakhaNEWSClassification":0.4392249375,"NusaX-senti":0.501375,"CataloniaTweetClassification":0.428043,"OpusparcusPC":0.8419674166666667,"ArmenianParaphrasePC":0.845988,"KorHateSpeechMLClassification":0.033726,"WikiClusteringP2P.v2":0.18917478571428573,"AmazonCounterfactualClassification":0.578375625,"ArXivHierarchicalClusteringS2S":0.471701,"NepaliNewsClassification":0.503711,"ArguAna":0.15921,"AILAStatutes":0.12089,"ToxicConversationsClassification":0.522803,"IndicGenBenchFloresBitextMining":0.08717913793103449,"CSFDSKMovieReviewSentimentClassification":0.20415,"SiswatiNewsClassification":0.72375,"CEDRClassification":0.344846,"TempReasonL1":0.01212,"BiorxivClusteringP2P.v2":0.150496,"NorwegianCourtsBitextMining":0.802632,"PunjabiNewsClassification":0.63121,"SpartQA":0.01677,"BUCC.v2":0.050179749999999995,"BornholmBitextMining":0.181535,"BibleNLPBitextMining":0.014026518719806763,"SIB200ClusteringS2S":0.05759283756345178,"RTE3":0.885576,"TERRa":0.490447,"SwahiliNewsClassification":0.366797,"DBpediaClassification":0.626074,"HagridRetrieval":0.71708,"MultiHateClassification":0.5453,"WikiCitiesClustering":0.396064,"Tatoeba":0.04547541964285714,"STS14":0.5736607721958864,"KurdishSentimentClassification":0.565325,"PpcPC":0.688161,"STSBenchmark":0.6159242681001437,"MasakhaNEWSClusteringS2S":0.293277,"MIRACLRetrievalHardNegatives":0.020506666666666666,"NTREXBitextMining":0.14142890866388308,"DalajClassification":0.501351,"SICK-R":0.5764441663261227,"NollySentiBitextMining":0.23553375,"SCIDOCS":0.01731,"BelebeleRetrieval":0.09429039893617021,"IsiZuluNewsClassification":0.232181,"TwitterHjerneRetrieval":0.01782,"STSB":0.0616935,"STSES":0.562651,"KorSarcasmClassification":0.549561,"WinoGrande":0.03193,"SentimentAnalysisHindi":0.358538,"RuBQReranking":0.172291,"CyrillicTurkicLangClassification":0.154932,"FilipinoShopeeReviewsClassification":0.260303,"STS22.v2":0.3430293888888889,"RomaniBibleClustering":0.368735,"MacedonianTweetSentimentClassification":0.310711,"AfriSentiClassification":0.39747249999999995,"STS12":0.6967060431422327,"LegalBenchCorporateLobbying":0.36321,"TweetTopicSingleClassification":0.351211,"MultiEURLEXMultilabelClassification":0.01552608695652174,"T2Reranking":0.540483,"GreekLegalCodeClassification":0.035718,"SlovakMovieReviewSentimentClassification":0.525488,"FaroeseSTS":0.497817,"SwissJudgementClassification":0.527835,"TwitterURLCorpus":0.747241,"TRECCOVID":0.07265,"IndicLangClassification":0.140003,"GujaratiNewsClassification":0.400835,"ItaCaseholdClassification":0.422624,"FloresBitextMining":0.09567464824205545,"Robust04InstructionRetrieval":0.016668,"BulgarianStoreReviewSentimentClassfication":0.298901,"OdiaNewsClassification":0.576356,"TswanaNewsClassification":0.204723,"PlscClusteringP2P.v2":0.627375,"FinancialPhrasebankClassification":0.460071,"News21InstructionRetrieval":0.029258,"StackOverflowQA":0.20241,"Core17InstructionRetrieval":-0.013969,"WebLINXCandidatesReranking":0.06414766666666667,"PAC":0.585317,"VoyageMMarcoReranking":0.146997,"MedrxivClusteringP2P.v2":0.231878,"GermanSTSBenchmark":0.5770835000000001,"AlloprofReranking":0.335362,"AlloProfClusteringS2S.v2":0.173833,"ScalaClassification":0.5016355,"indonli":0.501773,"IN22GenBitextMining":0.08305628656126482,"CovidRetrieval":0.00083,"BigPatentClustering.v2":0.214355,"PawsXPairClassification":0.5162363571428571,"NusaXBitextMining":0.13965845454545456,"NusaParagraphEmotionClassification":0.2593581,"LEMBPasskeyRetrieval":0.195,"CTKFactsNLI":0.7075415,"DiaBlaBitextMining":0.040265,"IndonesianIdClickbaitClassification":0.536851,"XNLI":0.5578369642857143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":185,"model":{"name":"deepvk/deberta-v1-base","url":"https://huggingface.co/deepvk/deberta-v1-base","zeroShotPct":98,"activeParamsB":0.085,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-02-07","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":473.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["RiaNewsRetrieval","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":98,"activeParamsB":0.085,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.023731000000000002,"MultilabelClassification":0.1264642185094488,"Classification":0.4537326896098899,"Retrieval":0.05536523809523809,"Reranking":0.2956004990573904,"STS":0.3537768543244949,"Clustering":0.27006524886693256},"scoresByTask":{"SemRel24STS":0.31617033333333333,"FinParaSTS":0.0499315,"PolEmo2.0-OUT":0.302227,"JSICK":0.507116,"SwednClusteringP2P":0.0302425,"MalteseNewsClassification":0.057684,"CzechProductReviewSentimentClassification":0.414111,"STS13":0.466508,"IndicCrosslingualSTS":0.013330083333333334,"SprintDuplicateQuestions":0.355062,"WikipediaRerankingMultilingual":0.426397,"EstonianValenceClassification":0.296455,"STS15":0.548474,"MLQARetrieval":0.014814285714285714,"HALClusteringS2S.v2":0.043155,"PoemSentimentClassification":0.2831595,"BrazilianToxicTweetsClassification":0.188867,"StatcanDialogueDatasetRetrieval":0.0025225,"STS17":0.22934036363636362,"NordicLangClassification":0.5791,"ArXivHierarchicalClusteringP2P":0.492349,"NusaTranslationBitextMining":0.3921053636363636,"MassiveIntentClassification":0.2659376862745098,"CLSClusteringP2P.v2":0.061186,"WikipediaRetrievalMultilingual":0.034333749999999996,"SinhalaNewsClassification":0.401416,"StackExchangeClustering.v2":0.407468,"MasakhaNEWSClassification":0.4653591875,"NusaX-senti":0.5295625,"CataloniaTweetClassification":0.449935,"OpusparcusPC":0.8478555833333333,"ArmenianParaphrasePC":0.865162,"KorHateSpeechMLClassification":0.027491,"WikiClusteringP2P.v2":0.18566692857142858,"AmazonCounterfactualClassification":0.6134085,"ArXivHierarchicalClusteringS2S":0.47444,"NepaliNewsClassification":0.401123,"ArguAna":0.12391,"AILAStatutes":0.09707,"ToxicConversationsClassification":0.566113,"IndicGenBenchFloresBitextMining":0.00014853448275862067,"CSFDSKMovieReviewSentimentClassification":0.200977,"SiswatiNewsClassification":0.7325,"CEDRClassification":0.34139213602550483,"TempReasonL1":0.00156,"BiorxivClusteringP2P.v2":0.150437,"NorwegianCourtsBitextMining":0.788304,"PunjabiNewsClassification":0.546497,"SpartQA":0.00278,"BornholmBitextMining":0.141073,"SIB200ClusteringS2S":0.02841855329949239,"RTE3":0.87169225,"TERRa":0.5648734097311885,"SwahiliNewsClassification":0.430762,"DBpediaClassification":0.735254,"HagridRetrieval":0.4574,"MultiHateClassification":0.548209090909091,"WikiCitiesClustering":0.513324,"STS14":0.38153,"KurdishSentimentClassification":0.567438,"PpcPC":0.67082,"STSBenchmark":0.413236,"MasakhaNEWSClusteringS2S":0.293677,"MIRACLRetrievalHardNegatives":0.004345,"DalajClassification":0.503041,"SICK-R":0.499409,"NollySentiBitextMining":0.1236,"SCIDOCS":0.00183,"BelebeleRetrieval":0.021128749999999998,"IsiZuluNewsClassification":0.232979,"TwitterHjerneRetrieval":0.01076,"STSB":0.262626,"STSES":0.469185,"KorSarcasmClassification":0.524707,"WinoGrande":0.00028,"SentimentAnalysisHindi":0.371117,"RuBQReranking":0.3401199943443422,"CyrillicTurkicLangClassification":0.888232421875,"FilipinoShopeeReviewsClassification":0.242529,"STS22.v2":0.2116353888888889,"RomaniBibleClustering":0.383758,"MacedonianTweetSentimentClassification":0.396137,"AfriSentiClassification":0.36424391666666667,"STS12":0.447604,"LegalBenchCorporateLobbying":0.10449,"TweetTopicSingleClassification":0.413822,"MultiEURLEXMultilabelClassification":0.016886956521739133,"T2Reranking":0.50294,"GreekLegalCodeClassification":0.0626225,"SlovakMovieReviewSentimentClassification":0.519775,"FaroeseSTS":0.471077,"SwissJudgementClassification":0.5246339999999999,"TwitterURLCorpus":0.648262,"TRECCOVID":0.03556,"IndicLangClassification":0.719058,"GujaratiNewsClassification":0.438392,"ItaCaseholdClassification":0.406787,"Robust04InstructionRetrieval":-0.021623,"BulgarianStoreReviewSentimentClassfication":0.429121,"OdiaNewsClassification":0.457095,"TswanaNewsClassification":0.218686,"PlscClusteringP2P.v2":0.651899,"FinancialPhrasebankClassification":0.502827,"News21InstructionRetrieval":-0.007926,"StackOverflowQA":0.06629,"Core17InstructionRetrieval":-0.041644,"WebLINXCandidatesReranking":0.062346000000000006,"PAC":0.62786,"VoyageMMarcoReranking":0.163652,"MedrxivClusteringP2P.v2":0.238979,"GermanSTSBenchmark":0.373257,"AlloprofReranking":0.278148,"AlloProfClusteringS2S.v2":0.164932,"ScalaClassification":0.50230725,"indonli":0.513144,"IN22GenBitextMining":0.006635519762845849,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.201112,"PawsXPairClassification":0.5133381428571429,"NusaXBitextMining":0.012930363636363636,"NusaParagraphEmotionClassification":0.2792091,"LEMBPasskeyRetrieval":0.0175,"CTKFactsNLI":0.7243185000000001,"DiaBlaBitextMining":0.006173,"IndonesianIdClickbaitClassification":0.555779},"scoresByCustomGroup":{},"trainedOnTasks":["WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":186,"model":{"name":"Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka","url":"https://huggingface.co/Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.163,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":621.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"UBC-NLP/MARBERTv2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.163,"embeddingDim":768,"maxTokens":512,"meanTask":0.32135002061468576,"meanTaskType":0.26764508576187257,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.0017116666666666662,"MultilabelClassification":0.1166943652173913,"Classification":0.41879420649069354,"Retrieval":0.09186226230513876,"Reranking":0.2805283784722222,"STS":0.4149442836703289,"Clustering":0.25581940161575417,"PairClassification":0.6864569956709957,"BitextMining":0.14541754508099555},"scoresByTask":{"SemRel24STS":0.35897941666666666,"FinParaSTS":-0.0170365,"PolEmo2.0-OUT":0.338057,"JSICK":0.364369,"SwednClusteringP2P":0.014242000000000001,"MalteseNewsClassification":0.059904,"CzechProductReviewSentimentClassification":0.408447,"STS13":0.5223198766098021,"IndicCrosslingualSTS":-0.0014872500000000014,"SprintDuplicateQuestions":0.677478,"WikipediaRerankingMultilingual":0.4571649375,"EstonianValenceClassification":0.279951,"STS15":0.7001912156519297,"MLQARetrieval":0.05491551020408163,"HALClusteringS2S.v2":0.043525,"PoemSentimentClassification":0.35552649999999997,"BrazilianToxicTweetsClassification":0.169482,"StatcanDialogueDatasetRetrieval":0.0015574999999999999,"STS17":0.31685736363636363,"NordicLangClassification":0.467733,"ArXivHierarchicalClusteringP2P":0.48551,"NusaTranslationBitextMining":0.4580168181818182,"MassiveIntentClassification":0.22970676470588236,"CLSClusteringP2P.v2":0.080807,"WikipediaRetrievalMultilingual":0.065324375,"SinhalaNewsClassification":0.36543,"StackExchangeClustering.v2":0.395394,"MasakhaNEWSClassification":0.445898875,"NusaX-senti":0.5108958333333333,"CataloniaTweetClassification":0.42408275,"OpusparcusPC":0.8555989166666667,"ArmenianParaphrasePC":0.839069,"KorHateSpeechMLClassification":0.022877,"WikiClusteringP2P.v2":0.18564864285714286,"AmazonCounterfactualClassification":0.62820825,"ArXivHierarchicalClusteringS2S":0.462379,"NepaliNewsClassification":0.526465,"ArguAna":0.1342,"AILAStatutes":0.10093,"ToxicConversationsClassification":0.548926,"IndicGenBenchFloresBitextMining":0.03194940517241379,"CSFDSKMovieReviewSentimentClassification":0.206396,"SiswatiNewsClassification":0.70125,"CEDRClassification":0.319501,"TempReasonL1":0.01527,"BiorxivClusteringP2P.v2":0.122309,"NorwegianCourtsBitextMining":0.745906,"PunjabiNewsClassification":0.590446,"SpartQA":0.01085,"BUCC.v2":0.015297749999999999,"BornholmBitextMining":0.188536,"BibleNLPBitextMining":0.003563098429951691,"SIB200ClusteringS2S":0.043730532994923854,"RTE3":0.8627795,"TERRa":0.556041,"SwahiliNewsClassification":0.370947,"DBpediaClassification":0.713672,"HagridRetrieval":0.69239,"MultiHateClassification":0.5472272727272727,"WikiCitiesClustering":0.369448,"Tatoeba":0.03149017857142857,"STS14":0.592261024017655,"KurdishSentimentClassification":0.621691,"PpcPC":0.701083,"STSBenchmark":0.6116768766134144,"MasakhaNEWSClusteringS2S":0.30135525,"MIRACLRetrievalHardNegatives":0.01228777777777778,"NTREXBitextMining":0.07273375939457202,"DalajClassification":0.50259,"SICK-R":0.6580163441928238,"NollySentiBitextMining":0.1493455,"SCIDOCS":0.0113,"BelebeleRetrieval":0.0573155585106383,"IsiZuluNewsClassification":0.230319,"TwitterHjerneRetrieval":0.0193,"STSB":0.082942,"STSES":0.494058,"KorSarcasmClassification":0.531104,"WinoGrande":0.01657,"SentimentAnalysisHindi":0.36875,"RuBQReranking":0.177653,"CyrillicTurkicLangClassification":0.155371,"FilipinoShopeeReviewsClassification":0.2686525,"STS22.v2":0.27262288888888886,"RomaniBibleClustering":0.388909,"MacedonianTweetSentimentClassification":0.290167,"AfriSentiClassification":0.3937078333333333,"STS12":0.6300297824477175,"LegalBenchCorporateLobbying":0.20906,"TweetTopicSingleClassification":0.426816,"MultiEURLEXMultilabelClassification":0.011707826086956523,"T2Reranking":0.545896,"GreekLegalCodeClassification":0.0278565,"SlovakMovieReviewSentimentClassification":0.520264,"FaroeseSTS":0.537679,"SwissJudgementClassification":0.532957,"TwitterURLCorpus":0.78233,"TRECCOVID":0.05276,"IndicLangClassification":0.143823,"GujaratiNewsClassification":0.406449,"ItaCaseholdClassification":0.406787,"FloresBitextMining":0.04083964942528735,"Robust04InstructionRetrieval":-0.01418,"BulgarianStoreReviewSentimentClassfication":0.326374,"OdiaNewsClassification":0.57056,"TswanaNewsClassification":0.206982,"PlscClusteringP2P.v2":0.629723,"FinancialPhrasebankClassification":0.527871,"News21InstructionRetrieval":0.011152,"StackOverflowQA":0.11699,"Core17InstructionRetrieval":-0.002107,"WebLINXCandidatesReranking":0.06791733333333333,"PAC":0.608138,"VoyageMMarcoReranking":0.143334,"MedrxivClusteringP2P.v2":0.216372,"GermanSTSBenchmark":0.5156295,"AlloprofReranking":0.291205,"AlloProfClusteringS2S.v2":0.124566,"ScalaClassification":0.5010255,"indonli":0.49614,"IN22GenBitextMining":0.06869447233201581,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.229192,"PawsXPairClassification":0.5081122857142857,"NusaXBitextMining":0.06253745454545455,"NusaParagraphEmotionClassification":0.2387213,"LEMBPasskeyRetrieval":0.0825,"CTKFactsNLI":0.7096615,"DiaBlaBitextMining":0.021518,"IndonesianIdClickbaitClassification":0.541908,"XNLI":0.5627337499999999},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":187,"model":{"name":"izhx/udever-bloom-560m","url":"https://huggingface.co/izhx/udever-bloom-560m","zeroShotPct":100,"activeParamsB":0.302,"totalParamsB":0.559,"embeddingDim":null,"maxTokens":null,"releaseDate":"2023-10-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Akan","Arabic","Assamese","Bambara","Basque","Bengali","Catalan","Chinese","English","Fon","French","Ganda","Gujarati","Hindi","Igbo","Indonesian","Kannada","Kikuyu","Kinyarwanda","Lingala","Malayalam","Marathi","Nepali (macrolanguage)","Nyanja","Oriya (macrolanguage)","Panjabi","Pedi","Portuguese","Rundi","Shona","Southern Sotho","Spanish","Swahili (macrolanguage)","Tamil","Telugu","Tsonga","Tswana","Tumbuka","Twi","Urdu","Vietnamese","Wolof","Xhosa","Yoruba","Zulu"],"citation":"@article{zhang2023language,\n title={Language Models are Universal Embedders},\n author={Zhang, Xin and Li, Zehan and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Zhang, Min},\n journal={arXiv preprint arXiv:2310.08232},\n year={2023}\n}","memoryUsageMb":null,"license":"https://huggingface.co/spaces/bigscience/license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"bigscience/bloom-560m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.302,"totalParamsB":0.559,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.008069000000000002,"Reranking":0.3079498680475956,"PairClassification":0.7166912972959422,"BitextMining":0.10072217085726833},"scoresByTask":{"SemRel24STS":0.3019395833333333,"FinParaSTS":0.0452855,"PolEmo2.0-OUT":0.301822,"JSICK":0.395329,"SwednClusteringP2P":0.00742,"MalteseNewsClassification":0.043709,"CzechProductReviewSentimentClassification":0.399707,"STS13":0.8180834431353926,"IndicCrosslingualSTS":-0.000086583333333335,"SprintDuplicateQuestions":0.9208581738846191,"WikipediaRerankingMultilingual":0.424103375,"EstonianValenceClassification":0.285208,"STS15":0.8461113973428688,"MLQARetrieval":0.03913224489795918,"HALClusteringS2S.v2":0.040832,"PoemSentimentClassification":0.308164,"BrazilianToxicTweetsClassification":0.159717,"STS17":0.6023117372769847,"NordicLangClassification":0.490833,"ArXivHierarchicalClusteringP2P":0.525478,"NusaTranslationBitextMining":0.08950972727272727,"CLSClusteringP2P.v2":0.215088,"WikipediaRetrievalMultilingual":0.0628475,"SinhalaNewsClassification":0.402588,"StackExchangeClustering.v2":0.424133,"NusaX-senti":0.5101041666666667,"CataloniaTweetClassification":0.44926725,"OpusparcusPC":0.83417575,"ArmenianParaphrasePC":0.893925,"KorHateSpeechMLClassification":0.037113,"ArXivHierarchicalClusteringS2S":0.49196,"NepaliNewsClassification":0.88999,"ArguAna":0.44545,"AILAStatutes":0.15608,"ToxicConversationsClassification":0.679606,"IndicGenBenchFloresBitextMining":0.00038266379310344825,"CSFDSKMovieReviewSentimentClassification":0.187109,"SiswatiNewsClassification":0.685,"CEDRClassification":0.323379,"TempReasonL1":0.00017,"BiorxivClusteringP2P.v2":0.241073,"NorwegianCourtsBitextMining":0.620941,"PunjabiNewsClassification":0.792357,"SpartQA":0.00037,"BUCC.v2":0.041805249999999995,"BornholmBitextMining":0.117326,"BibleNLPBitextMining":0.0021283454106280192,"SIB200ClusteringS2S":0.020717045685279187,"RTE3":0.8829695,"TERRa":0.490505,"SwahiliNewsClassification":0.599805,"DBpediaClassification":0.782617,"HagridRetrieval":0.40242,"MultiHateClassification":0.5508727272727273,"Tatoeba":0.2305622896343158,"STS14":0.770493522248929,"KurdishSentimentClassification":0.550478,"PpcPC":0.657947,"STSBenchmark":0.8363025944536395,"MasakhaNEWSClusteringS2S":0.2591574375,"MIRACLRetrievalHardNegatives":0.018747222222222224,"NTREXBitextMining":0.019407355949895615,"DalajClassification":0.499324,"SICK-R":0.7852738315932625,"NollySentiBitextMining":0.0580975,"SCIDOCS":0.15312,"BelebeleRetrieval":0.027579388297872338,"IsiZuluNewsClassification":0.226596,"TwitterHjerneRetrieval":0.00444,"STSES":0.540515,"KorSarcasmClassification":0.520508,"WinoGrande":0.00026,"SentimentAnalysisHindi":0.434298,"RuBQReranking":0.15982,"CyrillicTurkicLangClassification":0.614355,"FilipinoShopeeReviewsClassification":0.243408,"RomaniBibleClustering":0.386194,"MacedonianTweetSentimentClassification":0.371905,"AfriSentiClassification":0.37216025,"STS12":0.7407437934108375,"LegalBenchCorporateLobbying":0.45491,"TweetTopicSingleClassification":0.490608,"T2Reranking":0.6373951666189072,"SlovakMovieReviewSentimentClassification":0.527441,"FaroeseSTS":0.238232,"SwissJudgementClassification":0.5276596666666666,"TwitterURLCorpus":0.8510870963707444,"TRECCOVID":0.72992,"IndicLangClassification":0.801364,"GujaratiNewsClassification":0.641806,"ItaCaseholdClassification":0.654299,"FloresBitextMining":0.0055780306432917995,"Robust04InstructionRetrieval":-0.011701,"BulgarianStoreReviewSentimentClassfication":0.353846,"OdiaNewsClassification":0.613817,"TswanaNewsClassification":0.209035,"PlscClusteringP2P.v2":0.63846,"FinancialPhrasebankClassification":0.583569,"News21InstructionRetrieval":-0.003092,"Core17InstructionRetrieval":-0.009414,"WebLINXCandidatesReranking":0.08252366666666666,"PAC":0.624877,"VoyageMMarcoReranking":0.236832,"MedrxivClusteringP2P.v2":0.273613,"GermanSTSBenchmark":0.2690045,"AlloprofReranking":0.307025,"AlloProfClusteringS2S.v2":0.108073,"ScalaClassification":0.5030027499999999,"indonli":0.516845,"IN22GenBitextMining":0.04189214624505929,"CovidRetrieval":0.33566,"PawsXPairClassification":0.5763414285714286,"NusaXBitextMining":0.0006009090909090909,"NusaParagraphEmotionClassification":0.3026725,"CTKFactsNLI":0.7011955000000001,"DiaBlaBitextMining":0.08115700310455794,"IndonesianIdClickbaitClassification":0.558457,"XNLI":0.5577548214285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":188,"model":{"name":"ai-forever/sbert_large_mt_nlu_ru","url":"https://huggingface.co/ai-forever/sbert_large_mt_nlu_ru","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.427,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2021-05-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":1629.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.427,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.004803999999999999,"MultilabelClassification":0.13706436007947143,"Classification":0.4090837932227543,"Retrieval":0.08469036454396574,"Reranking":0.3460103603791727,"STS":0.356998829229798,"Clustering":0.27069969727553933,"BitextMining":0.1388562689367492},"scoresByTask":{"SemRel24STS":0.22686725,"FinParaSTS":0.0030745,"PolEmo2.0-OUT":0.337854,"JSICK":0.350268,"SwednClusteringP2P":0.0360685,"MalteseNewsClassification":0.087244,"CzechProductReviewSentimentClassification":0.428955,"STS13":0.480436,"IndicCrosslingualSTS":-0.05210175,"SprintDuplicateQuestions":0.329189,"WikipediaRerankingMultilingual":0.47094125,"EstonianValenceClassification":0.28313,"STS15":0.65337,"MLQARetrieval":0.026903367346938777,"HALClusteringS2S.v2":0.067286,"PoemSentimentClassification":0.3185945,"BrazilianToxicTweetsClassification":0.169043,"StatcanDialogueDatasetRetrieval":0.005125,"STS17":0.19485454545454542,"NordicLangClassification":0.382033,"ArXivHierarchicalClusteringP2P":0.466827,"NusaTranslationBitextMining":0.4882539090909091,"MassiveIntentClassification":0.1364545294117647,"CLSClusteringP2P.v2":0.083649,"WikipediaRetrievalMultilingual":0.06747500000000001,"SinhalaNewsClassification":0.371045,"StackExchangeClustering.v2":0.43143,"MasakhaNEWSClassification":0.3988776875,"NusaX-senti":0.5267083333333333,"CataloniaTweetClassification":0.4308775,"OpusparcusPC":0.8745297500000001,"ArmenianParaphrasePC":0.843939,"KorHateSpeechMLClassification":0.042955,"WikiClusteringP2P.v2":0.18991,"AmazonCounterfactualClassification":0.579460875,"ArXivHierarchicalClusteringS2S":0.482583,"NepaliNewsClassification":0.471582,"ArguAna":0.15623,"AILAStatutes":0.11759,"ToxicConversationsClassification":0.562012,"IndicGenBenchFloresBitextMining":0.005726215517241379,"CSFDSKMovieReviewSentimentClassification":0.20332,"SiswatiNewsClassification":0.3775,"CEDRClassification":0.36806588735387885,"TempReasonL1":0.00167,"BiorxivClusteringP2P.v2":0.144841,"NorwegianCourtsBitextMining":0.766082,"PunjabiNewsClassification":0.542038,"SpartQA":0.0,"BUCC.v2":0.024223249999999998,"BornholmBitextMining":0.169969,"BibleNLPBitextMining":0.002825828502415459,"SIB200ClusteringS2S":0.04938459390862944,"RTE3":0.8489915,"TERRa":0.5197295613724908,"SwahiliNewsClassification":0.288867,"DBpediaClassification":0.732715,"HagridRetrieval":0.63834,"MultiHateClassification":0.5406,"WikiCitiesClustering":0.398649,"Tatoeba":0.018292098214285714,"STS14":0.466039,"KurdishSentimentClassification":0.604127,"PpcPC":0.680899,"STSBenchmark":0.588135,"MasakhaNEWSClusteringS2S":0.3009350625,"MIRACLRetrievalHardNegatives":0.008209444444444445,"NTREXBitextMining":0.04816671294363257,"DalajClassification":0.499099,"SICK-R":0.659096,"NollySentiBitextMining":0.1499035,"SCIDOCS":0.00372,"BelebeleRetrieval":0.04229375,"IsiZuluNewsClassification":0.175399,"TwitterHjerneRetrieval":0.02044,"STSB":0.063724,"STSES":0.544255,"KorSarcasmClassification":0.556543,"WinoGrande":0.00707,"SentimentAnalysisHindi":0.366249,"RuBQReranking":0.56140724560837,"CyrillicTurkicLangClassification":0.546387,"FilipinoShopeeReviewsClassification":0.245093,"STS22.v2":0.22564822222222222,"RomaniBibleClustering":0.393018,"MacedonianTweetSentimentClassification":0.456804,"AfriSentiClassification":0.36415474999999997,"STS12":0.4813,"LegalBenchCorporateLobbying":0.21071,"TweetTopicSingleClassification":0.491376,"MultiEURLEXMultilabelClassification":0.018013913043478262,"T2Reranking":0.506065,"GreekLegalCodeClassification":0.016333,"SlovakMovieReviewSentimentClassification":0.523193,"FaroeseSTS":0.397858,"SwissJudgementClassification":0.4933113333333334,"TwitterURLCorpus":0.747902,"TRECCOVID":0.07164,"IndicLangClassification":0.141719,"GujaratiNewsClassification":0.404401,"ItaCaseholdClassification":0.228507,"FloresBitextMining":0.023607329735342415,"Robust04InstructionRetrieval":-0.011588,"BulgarianStoreReviewSentimentClassfication":0.38022,"OdiaNewsClassification":0.561283,"TswanaNewsClassification":0.156468,"PlscClusteringP2P.v2":0.615578,"FinancialPhrasebankClassification":0.548145,"News21InstructionRetrieval":-0.003621,"StackOverflowQA":0.08951,"Core17InstructionRetrieval":0.000797,"WebLINXCandidatesReranking":0.07223066666666667,"PAC":0.636374,"VoyageMMarcoReranking":0.149233,"MedrxivClusteringP2P.v2":0.237572,"GermanSTSBenchmark":0.42915749999999997,"AlloprofReranking":0.316185,"AlloProfClusteringS2S.v2":0.158324,"ScalaClassification":0.503003,"indonli":0.482322,"IN22GenBitextMining":0.07158883399209487,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.27514,"PawsXPairClassification":0.4940450714285714,"NusaXBitextMining":0.02104081818181818,"NusaParagraphEmotionClassification":0.2174296,"LEMBPasskeyRetrieval":0.0575,"CTKFactsNLI":0.7061569999999999,"DiaBlaBitextMining":0.015452,"IndonesianIdClickbaitClassification":0.56236},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":189,"model":{"name":"ai-forever/sbert_large_nlu_ru","url":"https://huggingface.co/ai-forever/sbert_large_nlu_ru","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.427,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2020-11-20","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":1629.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"google/bert_uncased_L-12_H-768_A-12","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.427,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0055666666666666685,"MultilabelClassification":0.13704204833895486,"Classification":0.40658349629554785,"Retrieval":0.07799290505071216,"Reranking":0.3212762990593765,"STS":0.300687251104798,"Clustering":0.2754601408799402,"BitextMining":0.13218103920901683},"scoresByTask":{"SemRel24STS":0.22159883333333333,"FinParaSTS":0.0491835,"PolEmo2.0-OUT":0.30668,"JSICK":0.352998,"SwednClusteringP2P":0.0342685,"MalteseNewsClassification":0.073618,"CzechProductReviewSentimentClassification":0.413623,"STS13":0.371082,"IndicCrosslingualSTS":-0.015565083333333332,"SprintDuplicateQuestions":0.153427,"WikipediaRerankingMultilingual":0.440770375,"EstonianValenceClassification":0.268337,"STS15":0.582549,"MLQARetrieval":0.021380816326530612,"HALClusteringS2S.v2":0.064769,"PoemSentimentClassification":0.3324315,"BrazilianToxicTweetsClassification":0.192041,"StatcanDialogueDatasetRetrieval":0.001565,"STS17":0.1947035454545455,"NordicLangClassification":0.394133,"ArXivHierarchicalClusteringP2P":0.471767,"NusaTranslationBitextMining":0.5158881818181817,"MassiveIntentClassification":0.1176451274509804,"CLSClusteringP2P.v2":0.074404,"WikipediaRetrievalMultilingual":0.05074125,"SinhalaNewsClassification":0.356299,"StackExchangeClustering.v2":0.425522,"MasakhaNEWSClassification":0.4110573125,"NusaX-senti":0.5279791666666667,"CataloniaTweetClassification":0.4202375,"OpusparcusPC":0.8657910833333333,"ArmenianParaphrasePC":0.838762,"KorHateSpeechMLClassification":0.043348,"WikiClusteringP2P.v2":0.19300742857142858,"AmazonCounterfactualClassification":0.573464625,"ArXivHierarchicalClusteringS2S":0.464005,"NepaliNewsClassification":0.512207,"ArguAna":0.17294,"AILAStatutes":0.19376,"ToxicConversationsClassification":0.577637,"IndicGenBenchFloresBitextMining":0.003347301724137931,"CSFDSKMovieReviewSentimentClassification":0.200635,"SiswatiNewsClassification":0.3875,"CEDRClassification":0.35844845908607864,"TempReasonL1":0.00194,"BiorxivClusteringP2P.v2":0.154471,"NorwegianCourtsBitextMining":0.744444,"PunjabiNewsClassification":0.538217,"SpartQA":0.00017,"BUCC.v2":0.02169875,"BornholmBitextMining":0.126037,"BibleNLPBitextMining":0.0021821926328502413,"SIB200ClusteringS2S":0.04812570050761421,"RTE3":0.849461,"TERRa":0.5016626187469743,"SwahiliNewsClassification":0.238037,"DBpediaClassification":0.742432,"HagridRetrieval":0.49874,"MultiHateClassification":0.5420909090909091,"WikiCitiesClustering":0.456421,"Tatoeba":0.01661340178571429,"STS14":0.36649,"KurdishSentimentClassification":0.58314,"PpcPC":0.672771,"STSBenchmark":0.467987,"MasakhaNEWSClusteringS2S":0.302817625,"MIRACLRetrievalHardNegatives":0.004132777777777778,"NTREXBitextMining":0.05368977557411273,"DalajClassification":0.5,"SICK-R":0.588573,"NollySentiBitextMining":0.1186845,"SCIDOCS":0.00235,"BelebeleRetrieval":0.03341244680851064,"IsiZuluNewsClassification":0.156915,"TwitterHjerneRetrieval":0.01441,"STSB":0.06289600000000001,"STSES":0.341195,"KorSarcasmClassification":0.545166,"WinoGrande":0.00377,"SentimentAnalysisHindi":0.368708,"RuBQReranking":0.4681300860229256,"CyrillicTurkicLangClassification":0.538135,"FilipinoShopeeReviewsClassification":0.2437745,"STS22.v2":0.2750667222222222,"RomaniBibleClustering":0.399478,"MacedonianTweetSentimentClassification":0.407024,"AfriSentiClassification":0.35293,"STS12":0.314807,"LegalBenchCorporateLobbying":0.22421,"TweetTopicSingleClassification":0.482753,"MultiEURLEXMultilabelClassification":0.017754782608695653,"T2Reranking":0.50704,"GreekLegalCodeClassification":0.019237999999999998,"SlovakMovieReviewSentimentClassification":0.51582,"FaroeseSTS":0.325095,"SwissJudgementClassification":0.502289,"TwitterURLCorpus":0.739826,"TRECCOVID":0.03914,"IndicLangClassification":0.145996,"GujaratiNewsClassification":0.414643,"ItaCaseholdClassification":0.231222,"FloresBitextMining":0.02643067890949483,"Robust04InstructionRetrieval":0.004557,"BulgarianStoreReviewSentimentClassfication":0.358242,"OdiaNewsClassification":0.59292,"TswanaNewsClassification":0.1577,"PlscClusteringP2P.v2":0.641117,"FinancialPhrasebankClassification":0.571025,"News21InstructionRetrieval":0.033841,"StackOverflowQA":0.06871,"Core17InstructionRetrieval":-0.021698,"WebLINXCandidatesReranking":0.04906933333333333,"PAC":0.689343,"VoyageMMarcoReranking":0.151999,"MedrxivClusteringP2P.v2":0.249886,"GermanSTSBenchmark":0.3123365,"AlloprofReranking":0.310649,"AlloProfClusteringS2S.v2":0.164672,"ScalaClassification":0.501709,"indonli":0.479543,"IN22GenBitextMining":0.06747954545454546,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.262631,"PawsXPairClassification":0.4942270714285714,"NusaXBitextMining":0.01314818181818182,"NusaParagraphEmotionClassification":0.21304669999999998,"LEMBPasskeyRetrieval":0.0725,"CTKFactsNLI":0.7105090000000001,"DiaBlaBitextMining":0.00871,"IndonesianIdClickbaitClassification":0.530708},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":190,"model":{"name":"malenia1/ternary-weight-embedding","url":"https://huggingface.co/malenia1/ternary-weight-embedding","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":0.099,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-10-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":158.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"ternary-weight-embedding","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":0.099,"embeddingDim":1024,"maxTokens":512,"meanTask":0.31064893533873394,"meanTaskType":0.2658058652854138,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.009189333333333336,"MultilabelClassification":0.12141308695652175,"Classification":0.3886630830928989,"Retrieval":0.1062684723796926,"Reranking":0.32089758347611513,"STS":0.4316427484564026,"Clustering":0.23889183013052934,"PairClassification":0.6488165930735931,"BitextMining":0.12647005666963743},"scoresByTask":{"SemRel24STS":0.26996458333333334,"FinParaSTS":-0.029595,"PolEmo2.0-OUT":0.336842,"JSICK":0.624003,"SwednClusteringP2P":0.0119055,"MalteseNewsClassification":0.050109,"CzechProductReviewSentimentClassification":0.410791,"STS13":0.582034,"IndicCrosslingualSTS":0.011926166666666668,"SprintDuplicateQuestions":0.416507,"WikipediaRerankingMultilingual":0.453759375,"EstonianValenceClassification":0.274939,"STS15":0.570453,"MLQARetrieval":0.018416530612244898,"HALClusteringS2S.v2":0.035397,"PoemSentimentClassification":0.26028850000000003,"BrazilianToxicTweetsClassification":0.173877,"StatcanDialogueDatasetRetrieval":0.0045575,"STS17":0.18666054545454544,"NordicLangClassification":0.4766,"ArXivHierarchicalClusteringP2P":0.475626,"NusaTranslationBitextMining":0.3518807272727273,"MassiveIntentClassification":0.23792194117647059,"CLSClusteringP2P.v2":0.103101,"WikipediaRetrievalMultilingual":0.0434075,"SinhalaNewsClassification":0.359033,"StackExchangeClustering.v2":0.375317,"MasakhaNEWSClassification":0.373279875,"NusaX-senti":0.5165833333333333,"CataloniaTweetClassification":0.42644475,"OpusparcusPC":0.8490086666666666,"ArmenianParaphrasePC":0.857418,"KorHateSpeechMLClassification":0.021404,"WikiClusteringP2P.v2":0.16369057142857144,"AmazonCounterfactualClassification":0.621353125,"ArXivHierarchicalClusteringS2S":0.457884,"NepaliNewsClassification":0.391309,"ArguAna":0.04832,"AILAStatutes":0.14834,"ToxicConversationsClassification":0.532568,"IndicGenBenchFloresBitextMining":0.0008386379310344827,"CSFDSKMovieReviewSentimentClassification":0.195166,"SiswatiNewsClassification":0.60625,"CEDRClassification":0.345005,"TempReasonL1":0.0018,"BiorxivClusteringP2P.v2":0.102681,"NorwegianCourtsBitextMining":0.839912,"PunjabiNewsClassification":0.53758,"SpartQA":0.02143,"BUCC.v2":0.00186,"BornholmBitextMining":0.180692,"BibleNLPBitextMining":0.0016907451690821257,"SIB200ClusteringS2S":0.022553710659898477,"RTE3":0.8657595,"TERRa":0.489154,"SwahiliNewsClassification":0.314014,"DBpediaClassification":0.404004,"HagridRetrieval":0.40418,"MultiHateClassification":0.5381181818181818,"WikiCitiesClustering":0.324904,"Tatoeba":0.011327053571428571,"STS14":0.516049,"KurdishSentimentClassification":0.581933,"PpcPC":0.725105,"STSBenchmark":0.521587,"MasakhaNEWSClusteringS2S":0.2619625,"MIRACLRetrievalHardNegatives":0.0038272222222222227,"NTREXBitextMining":0.021269555323590813,"DalajClassification":0.49741,"SICK-R":0.524853,"NollySentiBitextMining":0.14338824999999997,"SCIDOCS":0.00257,"BelebeleRetrieval":0.02120375,"IsiZuluNewsClassification":0.228723,"TwitterHjerneRetrieval":0.01895,"STSB":0.8339129020701187,"STSES":0.493318,"KorSarcasmClassification":0.51543,"WinoGrande":0.00182,"SentimentAnalysisHindi":0.367323,"RuBQReranking":0.192568,"CyrillicTurkicLangClassification":0.490625,"FilipinoShopeeReviewsClassification":0.2483885,"STS22.v2":0.2464787777777778,"RomaniBibleClustering":0.379873,"MacedonianTweetSentimentClassification":0.371905,"AfriSentiClassification":0.3625153333333333,"STS12":0.465666,"LegalBenchCorporateLobbying":0.10854,"TweetTopicSingleClassification":0.223331,"MultiEURLEXMultilabelClassification":0.016670434782608694,"T2Reranking":0.6838732925233572,"GreekLegalCodeClassification":0.039673,"SlovakMovieReviewSentimentClassification":0.50874,"FaroeseSTS":0.563036,"SwissJudgementClassification":0.48131233333333334,"TwitterURLCorpus":0.684552,"TRECCOVID":0.06304,"IndicLangClassification":0.133303,"GujaratiNewsClassification":0.391426,"ItaCaseholdClassification":0.232579,"FloresBitextMining":0.007609893919636819,"Robust04InstructionRetrieval":0.033487,"BulgarianStoreReviewSentimentClassfication":0.293407,"OdiaNewsClassification":0.478376,"TswanaNewsClassification":0.192813,"PlscClusteringP2P.v2":0.639566,"FinancialPhrasebankClassification":0.443375,"News21InstructionRetrieval":-0.025105,"StackOverflowQA":0.08424,"Core17InstructionRetrieval":0.019186,"WebLINXCandidatesReranking":0.04775683333333333,"PAC":0.548769,"VoyageMMarcoReranking":0.226322,"MedrxivClusteringP2P.v2":0.221333,"GermanSTSBenchmark":0.525937,"AlloprofReranking":0.321106,"AlloProfClusteringS2S.v2":0.075887,"ScalaClassification":0.5003905,"indonli":0.505947,"IN22GenBitextMining":0.045737782608695654,"CovidRetrieval":0.82819,"BigPatentClustering.v2":0.170588,"PawsXPairClassification":0.482055,"NusaXBitextMining":0.02334609090909091,"NusaParagraphEmotionClassification":0.2415822,"LEMBPasskeyRetrieval":0.09,"CTKFactsNLI":0.7199295,"DiaBlaBitextMining":0.014558,"IndonesianIdClickbaitClassification":0.526097,"XNLI":0.5415468571428571},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":191,"model":{"name":"jinaai/jina-embeddings-v2-base-en","url":"https://huggingface.co/jinaai/jina-embeddings-v2-base-en","zeroShotPct":100,"activeParamsB":0.114,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2023-09-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{günther2023jina,\n title={Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents},\n author={Michael Günther and Jackmin Ong and Isabelle Mohr and Alaeddine Abdessalem and Tanguy Abel and Mohammad Kalim Akram and Susana Guzman and Georgios Mastrapas and Saba Sturua and Bo Wang and Maximilian Werk and Nan Wang and Han Xiao},\n year={2023},\n eprint={2310.19923},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":262.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"jina-bert-base-en-v1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","CC-NEWS","ELI5","ESCI","FEVER","Flickr30k","GooAQ","HotpotQA","MSMARCO","MsCocoCaptions","NQ","NegationDataset","PAQ","QuoraQA","S2ORC","SNLI","SentenceCompression","SimpleWikipedia","Specter","Squad2","StackExchange","Tmdb","TrivialQA","TweetQA","WikiAnswers","WikiHow","Xmarket","YahooAnswers"]},"zeroShotPct":100,"activeParamsB":0.114,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.016409999999999998,"MultilabelClassification":0.10393820869565218,"Classification":0.34198555061507696,"Retrieval":0.10701550361712847,"Reranking":0.3159546736111111,"Clustering":0.21123406913410986,"PairClassification":0.6824413067224243,"BitextMining":0.009043467139650664},"scoresByTask":{"SemRel24STS":0.14272708333333334,"FinParaSTS":0.017444,"PolEmo2.0-OUT":0.266802,"JSICK":0.318611,"SwednClusteringP2P":0.0030345,"MalteseNewsClassification":0.012799,"CzechProductReviewSentimentClassification":0.364111,"STS13":0.8417947648159536,"IndicCrosslingualSTS":-0.021113583333333335,"SprintDuplicateQuestions":0.9530034785910676,"WikipediaRerankingMultilingual":0.698727875,"EstonianValenceClassification":0.267848,"STS15":0.8755320285299192,"MLQARetrieval":0.01148877551020408,"HALClusteringS2S.v2":0.021189,"PoemSentimentClassification":0.259803,"BrazilianToxicTweetsClassification":0.176221,"StatcanDialogueDatasetRetrieval":0.0006775,"NordicLangClassification":0.269067,"ArXivHierarchicalClusteringP2P":0.471547,"NusaTranslationBitextMining":0.008482272727272727,"MassiveIntentClassification":0.06267943137254903,"CLSClusteringP2P.v2":0.031522,"WikipediaRetrievalMultilingual":0.44826625,"SinhalaNewsClassification":0.290186,"StackExchangeClustering.v2":0.350735,"MasakhaNEWSClassification":0.2291490625,"NusaX-senti":0.39716666666666667,"CataloniaTweetClassification":0.36099575,"OpusparcusPC":0.7430974166666666,"ArmenianParaphrasePC":0.803765,"KorHateSpeechMLClassification":0.031959,"WikiClusteringP2P.v2":0.08773928571428571,"AmazonCounterfactualClassification":0.517325625,"ArXivHierarchicalClusteringS2S":0.474875,"NepaliNewsClassification":0.464307,"ArguAna":0.44181,"AILAStatutes":0.1048,"ToxicConversationsClassification":0.733474,"IndicGenBenchFloresBitextMining":0.0005067068965517241,"CSFDSKMovieReviewSentimentClassification":0.212842,"SiswatiNewsClassification":0.51,"CEDRClassification":0.294899,"TempReasonL1":0.00047,"BiorxivClusteringP2P.v2":0.057369,"NorwegianCourtsBitextMining":0.079998,"PunjabiNewsClassification":0.57707,"SpartQA":0.00564,"BUCC.v2":0.0001905,"BornholmBitextMining":0.00625,"BibleNLPBitextMining":0.002183451690821256,"SIB200ClusteringS2S":0.014042695431472083,"RTE3":0.86571075,"TERRa":0.448037,"SwahiliNewsClassification":0.208203,"DBpediaClassification":0.151611,"HagridRetrieval":0.02,"MultiHateClassification":0.5163090909090909,"WikiCitiesClustering":0.215541,"Tatoeba":0.0011653214285714285,"STS14":0.7880745014464101,"KurdishSentimentClassification":0.526019,"PpcPC":0.662596,"STSBenchmark":0.8484429717949759,"MasakhaNEWSClusteringS2S":0.253374625,"MIRACLRetrievalHardNegatives":0.00018055555555555555,"NTREXBitextMining":0.0015582197286012527,"DalajClassification":0.492568,"SICK-R":0.796487740813199,"NollySentiBitextMining":0.010183,"SCIDOCS":0.19863,"BelebeleRetrieval":0.010345984042553191,"IsiZuluNewsClassification":0.188032,"TwitterHjerneRetrieval":0.00602,"STSB":0.0496915,"STSES":0.109332,"KorSarcasmClassification":0.502686,"WinoGrande":0.00123,"SentimentAnalysisHindi":0.349054,"RuBQReranking":0.186032,"CyrillicTurkicLangClassification":0.238574,"FilipinoShopeeReviewsClassification":0.213257,"STS22.v2":-0.01047677777777778,"RomaniBibleClustering":0.362919,"MacedonianTweetSentimentClassification":0.313696,"AfriSentiClassification":0.34148325,"STS12":0.7427447427941591,"LegalBenchCorporateLobbying":0.01268,"TweetTopicSingleClassification":0.192085,"MultiEURLEXMultilabelClassification":0.0038130434782608696,"T2Reranking":0.544704,"GreekLegalCodeClassification":0.0066405,"SlovakMovieReviewSentimentClassification":0.5021,"FaroeseSTS":0.121841,"SwissJudgementClassification":0.504927,"TwitterURLCorpus":0.8608681215460772,"TRECCOVID":0.65913,"IndicLangClassification":0.312765,"GujaratiNewsClassification":0.36692,"ItaCaseholdClassification":0.073303,"FloresBitextMining":0.0009196932290157443,"Robust04InstructionRetrieval":-0.041564,"BulgarianStoreReviewSentimentClassfication":0.286264,"OdiaNewsClassification":0.473475,"TswanaNewsClassification":0.106571,"PlscClusteringP2P.v2":0.645305,"FinancialPhrasebankClassification":0.374735,"News21InstructionRetrieval":0.003801,"StackOverflowQA":0.00241,"Core17InstructionRetrieval":-0.011467,"WebLINXCandidatesReranking":0.024654166666666668,"PAC":0.509731,"VoyageMMarcoReranking":0.153381,"MedrxivClusteringP2P.v2":0.15453,"GermanSTSBenchmark":0.21448699999999998,"AlloprofReranking":0.288229,"AlloProfClusteringS2S.v2":0.03543,"ScalaClassification":0.501538,"indonli":0.501591,"IN22GenBitextMining":0.0023401798418972333,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.200592,"PawsXPairClassification":0.4657247142857143,"NusaXBitextMining":0.002107727272727273,"NusaParagraphEmotionClassification":0.1486153,"LEMBPasskeyRetrieval":0.0025,"CTKFactsNLI":0.688393,"DiaBlaBitextMining":0.00168,"IndonesianIdClickbaitClassification":0.52139,"XNLI":0.5140678928571428},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":192,"model":{"name":"mteb/baseline-random-encoder","url":null,"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":32,"maxTokens":null,"releaseDate":null,"modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text","image","audio","video"],"languages":[],"citation":null,"memoryUsageMb":0.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":32,"maxTokens":null,"meanTask":0.18790914748851548,"meanTaskType":0.15916839189763393,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.004504,"MultilabelClassification":0.11195250434782608,"Classification":0.3010590495600672,"Retrieval":0.010813979952008383,"Reranking":0.2513676458333334,"STS":0.009194949179292929,"Clustering":0.21195680895066626,"PairClassification":0.5278333181818181,"BitextMining":0.0038332710736930673},"scoresByTask":{"SemRel24STS":-0.01490733333333333,"FinParaSTS":0.013046499999999999,"PolEmo2.0-OUT":0.236842,"JSICK":-0.03572,"SwednClusteringP2P":0.0019645,"MalteseNewsClassification":0.007749,"CzechProductReviewSentimentClassification":0.33418,"STS13":-0.016979,"IndicCrosslingualSTS":0.03161866666666666,"SprintDuplicateQuestions":0.011443,"WikipediaRerankingMultilingual":0.314379375,"EstonianValenceClassification":0.243399,"STS15":0.025899,"MLQARetrieval":0.011335612244897958,"HALClusteringS2S.v2":0.014674,"PoemSentimentClassification":0.226772,"BrazilianToxicTweetsClassification":0.213965,"StatcanDialogueDatasetRetrieval":0.0007624999999999999,"STS17":0.01564890909090909,"NordicLangClassification":0.186867,"ArXivHierarchicalClusteringP2P":0.471635,"NusaTranslationBitextMining":0.0020609090909090907,"MassiveIntentClassification":0.019456911764705882,"CLSClusteringP2P.v2":0.019032,"WikipediaRetrievalMultilingual":0.000329375,"SinhalaNewsClassification":0.216113,"StackExchangeClustering.v2":0.391919,"MasakhaNEWSClassification":0.1923001875,"NusaX-senti":0.32947916666666666,"CataloniaTweetClassification":0.33737625,"OpusparcusPC":0.67923375,"ArmenianParaphrasePC":0.695824,"KorHateSpeechMLClassification":0.015709,"WikiClusteringP2P.v2":0.0582185,"AmazonCounterfactualClassification":0.4952975,"ArXivHierarchicalClusteringS2S":0.466654,"NepaliNewsClassification":0.34209,"ArguAna":0.00188,"AILAStatutes":0.09799,"ToxicConversationsClassification":0.491553,"IndicGenBenchFloresBitextMining":0.0005515689655172414,"CSFDSKMovieReviewSentimentClassification":0.162549,"SiswatiNewsClassification":0.6,"CEDRClassification":0.318863,"TempReasonL1":0.00066,"BiorxivClusteringP2P.v2":0.051324,"NorwegianCourtsBitextMining":0.033918,"PunjabiNewsClassification":0.509554,"SpartQA":0.00362,"BUCC.v2":0.00047225,"BornholmBitextMining":0.000667,"BibleNLPBitextMining":0.0024702004830917876,"SIB200ClusteringS2S":0.010065380710659898,"RTE3":0.86471825,"TERRa":0.550412,"SwahiliNewsClassification":0.193506,"DBpediaClassification":0.070557,"HagridRetrieval":0.00417,"MultiHateClassification":0.4970181818181818,"WikiCitiesClustering":0.269122,"Tatoeba":0.001244580357142857,"STS14":0.006327,"KurdishSentimentClassification":0.495118,"PpcPC":0.599062,"STSBenchmark":0.030174,"MasakhaNEWSClusteringS2S":0.2510865625,"MIRACLRetrievalHardNegatives":0.00012944444444444445,"NTREXBitextMining":0.0005342870563674322,"DalajClassification":0.50732,"SICK-R":-0.001918,"NollySentiBitextMining":0.0050307500000000005,"SCIDOCS":0.00024,"BelebeleRetrieval":0.00926470744680851,"IsiZuluNewsClassification":0.172739,"TwitterHjerneRetrieval":0.03552,"STSB":0.041873,"STSES":-0.088272,"KorSarcasmClassification":0.503516,"WinoGrande":0.00168,"SentimentAnalysisHindi":0.322959,"RuBQReranking":0.17774,"CyrillicTurkicLangClassification":0.110547,"FilipinoShopeeReviewsClassification":0.20141599999999998,"STS22.v2":0.027151944444444444,"RomaniBibleClustering":0.387151,"MacedonianTweetSentimentClassification":0.348464,"AfriSentiClassification":0.3383554166666667,"STS12":0.08441,"LegalBenchCorporateLobbying":0.02015,"TweetTopicSingleClassification":0.167159,"MultiEURLEXMultilabelClassification":0.003476521739130435,"T2Reranking":0.55049,"GreekLegalCodeClassification":0.0027099999999999997,"SlovakMovieReviewSentimentClassification":0.505518,"FaroeseSTS":0.003295,"SwissJudgementClassification":0.5053036666666667,"TwitterURLCorpus":0.254395,"TRECCOVID":0.00425,"IndicLangClassification":0.052623,"GujaratiNewsClassification":0.326935,"ItaCaseholdClassification":0.023529,"FloresBitextMining":0.0006478297836375929,"Robust04InstructionRetrieval":0.02088,"BulgarianStoreReviewSentimentClassfication":0.266484,"OdiaNewsClassification":0.317541,"TswanaNewsClassification":0.096715,"PlscClusteringP2P.v2":0.642294,"FinancialPhrasebankClassification":0.350486,"News21InstructionRetrieval":0.012134,"StackOverflowQA":0.00017,"Core17InstructionRetrieval":-0.019502,"WebLINXCandidatesReranking":0.018656500000000003,"PAC":0.513409,"VoyageMMarcoReranking":0.15135,"MedrxivClusteringP2P.v2":0.176162,"GermanSTSBenchmark":0.0254715,"AlloprofReranking":0.29559,"AlloProfClusteringS2S.v2":0.014391,"ScalaClassification":0.49680175,"indonli":0.521716,"IN22GenBitextMining":0.0006070573122529645,"CovidRetrieval":0.0,"BigPatentClustering.v2":0.165616,"PawsXPairClassification":0.47714599999999996,"NusaXBitextMining":0.0007360909090909091,"NusaParagraphEmotionClassification":0.1409111,"LEMBPasskeyRetrieval":0.0025,"CTKFactsNLI":0.6455255,"DiaBlaBitextMining":0.000892,"IndonesianIdClickbaitClassification":0.494069,"XNLI":0.506691},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":193,"model":{"name":"Hum-Works/lodestone-base-4096-v1","url":"https://huggingface.co/Hum-Works/lodestone-base-4096-v1","zeroShotPct":100,"activeParamsB":0.114,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":null,"releaseDate":"2023-08-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"hum-lodestone-v1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.114,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SemRel24STS":0.18931433333333333,"FinParaSTS":0.0057985,"JSICK":0.430291,"STS13":0.7820169706921848,"SprintDuplicateQuestions":0.9040809844250262,"STS15":0.8002708383244839,"HALClusteringS2S.v2":0.023298,"PoemSentimentClassification":0.244982,"BrazilianToxicTweetsClassification":0.173047,"NordicLangClassification":0.3532,"NusaTranslationBitextMining":0.1528199090909091,"MassiveIntentClassification":0.08844188235294118,"SinhalaNewsClassification":0.233936,"StackExchangeClustering.v2":0.369723,"NusaX-senti":0.4179375,"CataloniaTweetClassification":0.37587025,"OpusparcusPC":0.7774985000000001,"ArmenianParaphrasePC":0.838955,"KorHateSpeechMLClassification":0.026559,"AmazonCounterfactualClassification":0.5681415000000001,"ArXivHierarchicalClusteringS2S":0.438643,"NepaliNewsClassification":0.393652,"ArguAna":0.49819,"ToxicConversationsClassification":0.679394,"IndicGenBenchFloresBitextMining":0.00016418103448275861,"SiswatiNewsClassification":0.21,"CEDRClassification":0.312965,"TempReasonL1":0.00084,"NorwegianCourtsBitextMining":0.417203,"SpartQA":0.02724,"BUCC.v2":0.0005172499999999999,"BornholmBitextMining":0.082052,"SIB200ClusteringS2S":0.01646236040609137,"RTE3":0.85036475,"DBpediaClassification":0.284668,"HagridRetrieval":0.12405,"MultiHateClassification":0.5091545454545454,"Tatoeba":0.004696017857142858,"STS14":0.7078377709313477,"KurdishSentimentClassification":0.543936,"PpcPC":0.701862,"STSBenchmark":0.7557446967644269,"MasakhaNEWSClusteringS2S":0.2545655625,"NTREXBitextMining":0.007289761482254698,"DalajClassification":0.499662,"SICK-R":0.7046515535094771,"SCIDOCS":0.15264,"IsiZuluNewsClassification":0.13617,"TwitterHjerneRetrieval":0.01964,"STSB":0.17845250000000001,"STSES":0.354934,"KorSarcasmClassification":0.507764,"WinoGrande":0.00196,"SentimentAnalysisHindi":0.303532,"CyrillicTurkicLangClassification":0.339551,"FilipinoShopeeReviewsClassification":0.213696,"RomaniBibleClustering":0.349868,"MacedonianTweetSentimentClassification":0.332748,"AfriSentiClassification":0.33726925,"STS12":0.6399899601697853,"TweetTopicSingleClassification":0.222209,"FaroeseSTS":0.311631,"TwitterURLCorpus":0.8311416594316625,"TRECCOVID":0.38579,"IndicLangClassification":0.328437,"GujaratiNewsClassification":0.376859,"FloresBitextMining":0.0028147667342799188,"OdiaNewsClassification":0.477376,"FinancialPhrasebankClassification":0.44015,"GermanSTSBenchmark":0.3539645,"AlloProfClusteringS2S.v2":0.039475,"ScalaClassification":0.5016725,"indonli":0.496806,"IN22GenBitextMining":0.006487067193675889,"PawsXPairClassification":0.48031850000000004,"NusaXBitextMining":0.0076518181818181815,"DiaBlaBitextMining":0.007027,"IndonesianIdClickbaitClassification":0.502665,"XNLI":0.5255091428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":194,"model":{"name":"VPLabs/SearchMap_Preview","url":"https://huggingface.co/VPLabs/SearchMap_Preview","zeroShotPct":-1,"activeParamsB":0.404,"totalParamsB":0.435,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2025-03-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1660.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"NovaSearch/stella_en_400M_v5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.404,"totalParamsB":0.435,"embeddingDim":4096,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.004556666666666667},"scoresByTask":{"STS13":0.866885,"IndicCrosslingualSTS":0.047136000000000004,"SprintDuplicateQuestions":0.965781,"STS15":0.875005,"ArXivHierarchicalClusteringP2P":0.582343,"StackExchangeClustering.v2":0.602263,"ArXivHierarchicalClusteringS2S":0.578725,"ArguAna":0.55458,"AILAStatutes":0.41518,"ToxicConversationsClassification":0.677881,"TempReasonL1":0.00884,"BiorxivClusteringP2P.v2":0.420662,"SpartQA":0.02515,"BUCC.v2":0.52037325,"DBpediaClassification":0.88584,"WikiCitiesClustering":0.892384,"Tatoeba":0.17780173214285713,"STS14":0.813998,"STSBenchmark":0.845462,"SICK-R":0.777845,"SCIDOCS":0.22452,"WinoGrande":0.4937,"STS12":0.751023,"LegalBenchCorporateLobbying":0.94269,"TwitterURLCorpus":0.857995,"TRECCOVID":0.6153,"Robust04InstructionRetrieval":-0.020862,"News21InstructionRetrieval":0.007843,"StackOverflowQA":0.84546,"Core17InstructionRetrieval":0.026689,"MedrxivClusteringP2P.v2":0.389982,"BigPatentClustering.v2":0.36584,"DiaBlaBitextMining":0.546104},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":195,"model":{"name":"infgrad/Jasper-Token-Compression-600M","url":"https://huggingface.co/infgrad/Jasper-Token-Compression-600M","zeroShotPct":90,"activeParamsB":0.452,"totalParamsB":0.607,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-11-14","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"\n@misc{zhang2025jaspertokencompression600mtechnicalreport,\n title={Jasper-Token-Compression-600M Technical Report},\n author={Dun Zhang and Ziyang Zeng and Yudong Zhou and Shuyang Lu},\n year={2025},\n eprint={2511.14405},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2511.14405},\n}\n","memoryUsageMb":2272.0,"license":"mit","publicTrainingCode":"https://github.com/DunZhang/Jasper-Token-Compression-Training","publicTrainingData":"https://huggingface.co/datasets/infgrad/jasper_text_distill_dataset","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv1-reranking","CMedQAv2-reranking","Cmnli","CodeSearchNet","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","LCQMC","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MLDR","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MindSmallReranking","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS12","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","T2Reranking","T2Retrieval","TNews","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","Waimai","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":0.452,"totalParamsB":0.607,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.933476,"SprintDuplicateQuestions":0.983387,"STS15":0.934661,"ArXivHierarchicalClusteringP2P":0.661017,"StackExchangeClustering.v2":0.772287,"ArXivHierarchicalClusteringS2S":0.638708,"ArguAna":0.7828,"AILAStatutes":0.39803,"ToxicConversationsClassification":0.910596,"BiorxivClusteringP2P.v2":0.519626,"STS14":0.896326,"STSBenchmark":0.928872,"SICK-R":0.852974,"SCIDOCS":0.2551,"STS12":0.860666,"LegalBenchCorporateLobbying":0.93511,"T2Reranking":0.67539,"TwitterURLCorpus":0.889127,"TRECCOVID":0.89924,"MedrxivClusteringP2P.v2":0.490064,"CovidRetrieval":0.8752},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":196,"model":{"name":"jinaai/jina-embeddings-v4","url":"https://huggingface.co/jinaai/jina-embeddings-v4","zeroShotPct":97,"activeParamsB":3.624,"totalParamsB":3.935,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-06-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["image","text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"@misc{günther2025jinaembeddingsv4universalembeddingsmultimodal,\n title={jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval},\n author={Michael Günther and Saba Sturua and Mohammad Kalim Akram and Isabelle Mohr and Andrei Ungureanu and Sedigheh Eslami and Scott Martens and Bo Wang and Nan Wang and Han Xiao},\n year={2025},\n eprint={2506.18902},\n archivePrefix={arXiv},\n primaryClass={cs.AI},\n url={https://arxiv.org/abs/2506.18902},\n}","memoryUsageMb":7500.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen2.5-VL-3B-Instruct","supersededBy":null,"extraRequirementsGroups":["jina-v4"],"trainingDatasets":["AppsRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetRetrieval","CornStack","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","SICK-R","STS12","StackOverflowQA","VDRMultilingualRetrieval","VidoreArxivQARetrieval","VidoreDocVQARetrieval","VidoreInfoVQARetrieval","VidoreTatdqaRetrieval","mMARCO-NL"]},"zeroShotPct":97,"activeParamsB":3.624,"totalParamsB":3.935,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SemRel24STS":0.5646376666666667,"FinParaSTS":0.15053,"JSICK":0.803327,"STS13":0.886082,"IndicCrosslingualSTS":0.35229875000000005,"STS15":0.89692,"MLQARetrieval":0.7489959183673469,"StatcanDialogueDatasetRetrieval":0.5806825,"STS17":0.8494705454545456,"WikipediaRetrievalMultilingual":0.884618125,"ArguAna":0.66962,"AILAStatutes":0.50131,"TempReasonL1":0.01323,"SpartQA":0.3024,"HagridRetrieval":0.98822,"STS14":0.847675,"STSBenchmark":0.885762,"MIRACLRetrievalHardNegatives":0.6292472222222222,"SICK-R":0.892287,"SCIDOCS":0.21476,"TwitterHjerneRetrieval":0.8438,"STSES":0.753104,"WinoGrande":0.67268,"STS22.v2":0.7176313333333333,"STS12":0.835043,"LegalBenchCorporateLobbying":0.94844,"FaroeseSTS":0.722847,"TRECCOVID":0.80358,"StackOverflowQA":0.91429,"CovidRetrieval":0.80182,"LEMBPasskeyRetrieval":0.6975},"scoresByCustomGroup":{},"trainedOnTasks":["SICK-R","STS12","StackOverflowQA"],"experiments":null},{"rank":197,"model":{"name":"google/gemini-embedding-2-preview","url":"https://ai.google.dev/gemini-api/docs/embeddings","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":8192.0,"releaseDate":"2026-03-10","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["audio","image","text","video"],"languages":["Bengali","Chinese","Chinese (Traditional)","English","Finnish","French","German","Hindi","Indonesian","Iranian Persian","Japanese","Korean","Russian","Spanish","Standard Arabic","Swahili (individual language)","Telugu","Thai","Yoruba"],"citation":"@misc{shanbhogue2026geminiembedding2native,\n title={Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini},\n author={Madhuri Shanbhogue and Zhe Li and Shanfeng Zhang and Gustavo Hernández Ábrego and Shih-Cheng Huang and Aashi Jain and Daniel Salz and Sonam Goenka and Chaitra Hegde and Ji Ma and Feiyang Chen and Jiaxing Wu and Tanmaya Dabral and Babak Samari and Kevin Poulet and Daniel Cer and Kaifeng Chen and Paul Suganathan and Hui Hui and Jovan Andonov and Philippe Schlattner and Jay Han and Iftekhar Naim and Wing Lowe and Vladimir Pchelin and Albert Yang and Yi-Ting Chen and Zhongli Ding and Grace Zhang and Georg Heigold and Yichang Chen and Antoine Reveillon and Brendan Mccloskey and Wenlei Zhou and Dahun Kim and Rui Meng and Emma Wang and Jack Zheng and Halley Fede and Zhen Yang and Keegan Mosley and Brian Potetz and Sahil Dua and Henrique Schechter Vera and Shen Gao and Hesen Zhang and Andreas Hess and Hengxuan Ying and Alberto Montes and Karan Gill and Min Choi and Sebastian Russo and Anja Hauth and Jinhyuk Lee and Michael Boratko and Megan Barnes and Vikram Rao and Claudiu Musat and Cyril Allauzen and Ehsan Variani and Shankar Kumar and Tom Bagby and Junyi Jiao and Yang Gu and Tengxin Li and Ayush Agrawal and Roberto Santana and Dev Nath and Stephen Karukas and Shuoxuan Han and Lucia Loher and Alice Twu and Nidhi Vyas and Siddharth Bhai and Frank Palma Gomez and Wangyuan Zhang and Chaoren Liu and Jizheng Yang and Steve Qiu and Shijie Zhang and Sujay Kulkarni and Sascha Rothe and Sean Nakamoto and Raphael Hoffmann and Zach Gleicher and Yunhsuan Sung and Qin Yin and Tom Duerig and Mojtaba Seyedhosseini},\n year={2026},\n eprint={2605.27295},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2605.27295},\n}","memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"google/gemini-embedding-2","extraRequirementsGroups":["google_genai"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3072,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"BitextMining":0.917444118721074},"scoresByTask":{"CzechProductReviewSentimentClassification":0.643506,"EstonianValenceClassification":0.458068,"PoemSentimentClassification":0.4756045,"NusaTranslationBitextMining":0.9315834545454545,"AILAStatutes":0.47329,"ToxicConversationsClassification":0.735205,"IndicGenBenchFloresBitextMining":0.969034698275862,"NorwegianCourtsBitextMining":1.0,"BUCC.v2":1.0,"BornholmBitextMining":0.916667,"BibleNLPBitextMining":0.5298186243961353,"DBpediaClassification":0.886475,"Tatoeba":0.9946808303571428,"MIRACLRetrievalHardNegatives":0.6778344444444444,"NTREXBitextMining":0.9880719577244259,"NollySentiBitextMining":0.783654,"SentimentAnalysisHindi":0.581782,"FilipinoShopeeReviewsClassification":0.42434099999999997,"TweetTopicSingleClassification":0.669935,"GreekLegalCodeClassification":0.3386475,"GujaratiNewsClassification":0.900986,"FloresBitextMining":0.9823678535690138,"BulgarianStoreReviewSentimentClassfication":0.731868,"FinancialPhrasebankClassification":0.8447,"IN22GenBitextMining":0.995256942687747,"NusaXBitextMining":0.8393421818181818,"DiaBlaBitextMining":0.996296,"IndonesianIdClickbaitClassification":0.625645},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":198,"model":{"name":"IEITYuan/Yuan-embedding-2.0-en","url":"https://huggingface.co/IEITYuan/Yuan-embedding-2.0-en","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":2048.0,"releaseDate":"2025-11-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":2272.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.886163,"SprintDuplicateQuestions":0.903419,"STS15":0.89746,"ArXivHierarchicalClusteringP2P":0.617212,"StackExchangeClustering.v2":0.686737,"ArXivHierarchicalClusteringS2S":0.622411,"ArguAna":0.69169,"ToxicConversationsClassification":0.808838,"BiorxivClusteringP2P.v2":0.445417,"STS14":0.839912,"STSBenchmark":0.89472,"SICK-R":0.830625,"SCIDOCS":0.59857,"STS12":0.801966,"TwitterURLCorpus":0.864047,"TRECCOVID":0.98328,"MedrxivClusteringP2P.v2":0.397828},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":199,"model":{"name":"codefuse-ai/F2LLM-0.6B","url":"https://huggingface.co/codefuse-ai/F2LLM-0.6B","zeroShotPct":90,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2025-09-18","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{2025F2LLM,\n title={F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n journal={CoRR},\n volume={abs/2510.02294},\n year={2025},\n url={https://doi.org/10.48550/arXiv.2510.02294},\n doi={10.48550/ARXIV.2510.02294},\n eprinttype={arXiv},\n eprint={2510.02294}\n}","memoryUsageMb":1137.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CNNDM","COLIEE","CoLA","ELI5","EmotionClassification","FEVER","FiQA2018","HotpotQA","ImdbClassification","MIRACLRetrieval","MNLI","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","NFCorpus","NQ","PAQ","PubMedQA","QQP","RedditClustering","RedditClusteringP2P","S2ORC","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","XSum"]},"zeroShotPct":90,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.86485,"SprintDuplicateQuestions":0.94665,"STS15":0.877781,"ArXivHierarchicalClusteringP2P":0.663162,"StackExchangeClustering.v2":0.736551,"ArXivHierarchicalClusteringS2S":0.640022,"ArguAna":0.58608,"ToxicConversationsClassification":0.918896,"BiorxivClusteringP2P.v2":0.649411,"STS14":0.832245,"STSBenchmark":0.867924,"SICK-R":0.801426,"SCIDOCS":0.22634,"STS12":0.795868,"TwitterURLCorpus":0.835862,"TRECCOVID":0.58666,"MedrxivClusteringP2P.v2":0.561709},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":200,"model":{"name":"mongodb/voyage-law-2","url":"https://blog.voyageai.com/2024/04/15/domain-specific-embeddings-and-retrieval-legal-edition-voyage-law-2/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":16000.0,"releaseDate":"2024-04-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":16000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.376959,"STS13":0.854455,"SprintDuplicateQuestions":0.943324,"STS15":0.86788,"NordicLangClassification":0.5896,"ArXivHierarchicalClusteringP2P":0.587201,"MassiveIntentClassification":0.5050133333333333,"StackExchangeClustering.v2":0.565795,"ArXivHierarchicalClusteringS2S":0.576306,"AILAStatutes":0.4551,"ToxicConversationsClassification":0.644727,"BiorxivClusteringP2P.v2":0.424429,"NorwegianCourtsBitextMining":0.924708,"BornholmBitextMining":0.356436,"STS14":0.798747,"STSBenchmark":0.850621,"DalajClassification":0.499324,"SICK-R":0.80354,"TwitterHjerneRetrieval":0.8363,"STS12":0.709032,"LegalBenchCorporateLobbying":0.95656,"TwitterURLCorpus":0.864257,"MedrxivClusteringP2P.v2":0.368791,"ScalaClassification":0.5035035,"LEMBPasskeyRetrieval":0.9375},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":201,"model":{"name":"BAAI/bge-multilingual-gemma2","url":"https://huggingface.co/BAAI/bge-multilingual-gemma2","zeroShotPct":91,"activeParamsB":8.322,"totalParamsB":9.24,"embeddingDim":3584,"maxTokens":8192.0,"releaseDate":"2024-07-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","French","Japanese","Japanese (Latin)","Korean","Korean (Latin)"],"citation":"@misc{bge-m3,\n title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},\n author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},\n year={2024},\n eprint={2402.03216},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n\n\n@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}","memoryUsageMb":35254.0,"license":"https://ai.google.dev/gemma/terms","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","T2Reranking","T2Retrieval","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":91,"activeParamsB":8.322,"totalParamsB":9.24,"embeddingDim":3584,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"PolEmo2.0-OUT":0.7777327935222672,"STS13":0.8744662352358895,"SprintDuplicateQuestions":0.912326885940691,"STS15":0.8763145141246593,"STS17":0.8445902727272727,"ArguAna":0.7736555747844541,"ToxicConversationsClassification":0.8734339999999999,"SIB200ClusteringS2S":0.2950455888324873,"STS14":0.8348313793311584,"PpcPC":0.9543345251568123,"STSBenchmark":0.8725208310840168,"SICK-R":0.8266085892322664,"SCIDOCS":0.2693150756480961,"STS12":0.777109125765107,"T2Reranking":0.6747921173708028,"TwitterURLCorpus":0.8700849868076658,"TRECCOVID":0.6426928884606035,"PAC":0.6724297712134376,"AlloprofReranking":0.7862041803111894,"CovidRetrieval":0.7745799999999999,"PawsXPairClassification":0.5743385},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":202,"model":{"name":"ByteDance-Seed/Seed1.5-Embedding","url":"https://seed1-5-embedding.github.io/","zeroShotPct":90,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-04-25","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["ark"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv2-reranking","Cmnli","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","IFlyTek","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","QBQTC","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSB","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","T2Retrieval","TNews","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","Waimai","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.925484,"SprintDuplicateQuestions":0.973555,"STS15":0.924218,"ArXivHierarchicalClusteringP2P":0.653965,"StackExchangeClustering.v2":0.806577,"ArXivHierarchicalClusteringS2S":0.640416,"ArguAna":0.75104,"ToxicConversationsClassification":0.866455,"BiorxivClusteringP2P.v2":0.564193,"STS14":0.903995,"STSBenchmark":0.915074,"SICK-R":0.843305,"SCIDOCS":0.26412,"STS12":0.847519,"T2Reranking":0.673278,"TwitterURLCorpus":0.867263,"TRECCOVID":0.87652,"MedrxivClusteringP2P.v2":0.517918,"CovidRetrieval":0.87404},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSB","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":203,"model":{"name":"Kingsoft-LLM/QZhou-Embedding","url":"https://huggingface.co/Kingsoft-LLM/QZhou-Embedding","zeroShotPct":90,"activeParamsB":6.526,"totalParamsB":7.071,"embeddingDim":3584,"maxTokens":8192.0,"releaseDate":"2025-08-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{yu2025qzhouembeddingtechnicalreport,\n title={QZhou-Embedding Technical Report},\n author={Peng Yu and En Xu and Bin Chen and Haibiao Chen and Yinfei Xu},\n year={2025},\n eprint={2508.21632},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2508.21632},\n}","memoryUsageMb":14436.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv1-reranking","CMedQAv2-reranking","Cmnli","CodeSearchNet","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","LCQMC","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MLDR","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MindSmallReranking","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS12","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","T2Reranking","T2Retrieval","TNews","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","Waimai","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":6.526,"totalParamsB":7.071,"embeddingDim":3584,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.95668,"SprintDuplicateQuestions":0.983811,"STS15":0.952682,"STS17":0.8922355454545454,"ArXivHierarchicalClusteringP2P":0.66157,"MassiveIntentClassification":0.5479057647058824,"StackExchangeClustering.v2":0.755257,"AmazonCounterfactualClassification":0.92595775,"ArXivHierarchicalClusteringS2S":0.635768,"ArguAna":0.84097,"ToxicConversationsClassification":0.901904,"BiorxivClusteringP2P.v2":0.544787,"STS14":0.927978,"STSBenchmark":0.950436,"SICK-R":0.877356,"SCIDOCS":0.28659,"STSB":0.91767,"STS22.v2":0.7718277222222222,"STS12":0.902917,"T2Reranking":0.680062,"TwitterURLCorpus":0.921688,"TRECCOVID":0.77639,"MedrxivClusteringP2P.v2":0.499492,"CovidRetrieval":0.93164},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":204,"model":{"name":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5","url":"https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5","zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512.0,"releaseDate":"2024-12-26","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":1885.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","DBPedia","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","PawsXPairClassification","QuoraRetrieval","SciFact","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"PolEmo2.0-OUT":0.6257085020242916,"STS13":0.8386019247474584,"SprintDuplicateQuestions":0.9305685558073558,"STS15":0.8734265089376507,"ArguAna":0.58627,"ToxicConversationsClassification":0.8927734375,"CEDRClassification":0.4376195536663124,"TERRa":0.5517437273876084,"STS14":0.8056563765431509,"PpcPC":0.8610558522259641,"STSBenchmark":0.8412195434062341,"SICK-R":0.7972822038569594,"SCIDOCS":0.19967,"RuBQReranking":0.7023399911521713,"STS12":0.8016653334500152,"T2Reranking":0.6673229864475817,"TwitterURLCorpus":0.8568756441554032,"TRECCOVID":0.8371600000000001,"PAC":0.6503909643788011,"AlloprofReranking":0.7517961983598763,"CovidRetrieval":0.8231100000000001},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MassiveIntentClassification","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":205,"model":{"name":"Bytedance/Seed1.6-embedding","url":"https://seed1-6-embedding.github.io/","zeroShotPct":90,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-06-18","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text","image"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["ark"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv2-reranking","Cmnli","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","IFlyTek","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","QBQTC","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","STS12","STS22","STSB","STSBenchmark","STSBenchmarkMultilingualSTS","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","T2Retrieval","TNews","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","Waimai","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.923468,"SprintDuplicateQuestions":0.898021,"STS15":0.915381,"ArXivHierarchicalClusteringP2P":0.632397,"StackExchangeClustering.v2":0.80123,"ArXivHierarchicalClusteringS2S":0.620561,"ArguAna":0.71037,"ToxicConversationsClassification":0.944287,"BiorxivClusteringP2P.v2":0.544897,"STS14":0.894397,"STSBenchmark":0.893686,"SICK-R":0.84669,"SCIDOCS":0.25011,"STS12":0.834018,"T2Reranking":0.676572,"TwitterURLCorpus":0.869784,"TRECCOVID":0.84447,"MedrxivClusteringP2P.v2":0.488849,"CovidRetrieval":0.8846},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSB","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":206,"model":{"name":"KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5","url":"https://huggingface.co/KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5","zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512.0,"releaseDate":"2025-09-30","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{zhao2025kalmembeddingv2,\n title={KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model},\n author={Xinping Zhao and Xinshuo Hu and Zifei Shan and Shouzheng Huang and Yao Zhou and Xin Zhang and Zetian Sun and Zhenyu Liu and Dongfang Li and Xinyuan Wei and Youcheng Pan and Yang Xiang and Meishan Zhang and Haofen Wang and Jun Yu and Baotian Hu and Min Zhang},\n year={2025},\n eprint={2506.20923},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2506.20923},\n}\n\n@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":1885.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/KaLM-Embedding/KaLM-embedding-finetuning-data","adaptedFrom":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ATEC","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","BQ","Banking77Classification","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","CQADupstack","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","DBPedia","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","PawsXPairClassification","QuoraRetrieval","Reddit-Clustering","Reddit-Clustering-P2P","SciFact","Stackexchange-Clustering","Stackexchange-Clustering-P2P","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroups-Clustering","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.895167267178336,"SprintDuplicateQuestions":0.9608836408366999,"STS15":0.9032929760921006,"ArXivHierarchicalClusteringP2P":0.6345525248201163,"StackExchangeClustering.v2":0.7583726954485177,"ArXivHierarchicalClusteringS2S":0.6115800304798539,"ArguAna":0.60153,"ToxicConversationsClassification":0.9169921875,"BiorxivClusteringP2P.v2":0.5067147241962376,"STS14":0.8599180550008585,"STSBenchmark":0.8888111143561678,"SICK-R":0.8320442801025385,"SCIDOCS":0.21617,"STSB":0.828989407235025,"STS12":0.8190031256415883,"T2Reranking":0.6760053885586859,"TwitterURLCorpus":0.8666290190780936,"TRECCOVID":0.82983,"MedrxivClusteringP2P.v2":0.4557062461631795,"CovidRetrieval":0.83572},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":207,"model":{"name":"dmis-lab/UltraBERT-Embed-150M","url":"https://huggingface.co/dmis-lab/UltraBERT-Embed-150M","zeroShotPct":98,"activeParamsB":0.113,"totalParamsB":0.151,"embeddingDim":768,"maxTokens":32768.0,"releaseDate":"2026-10-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{park2026ultrabertlimitbertpretraining,\n title={UltraBERT: Beyond the Limit of BERT Pre-Training},\n author={Jungwoo Park and Taewhoo Lee and Jaewoo Kang},\n year={2026},\n eprint={2610.15028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2610.15028},\n}","memoryUsageMb":576.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/dmis-lab/ultrabert-embed-training","publicTrainingData":"https://github.com/dmis-lab/ultrabert-embed-training#%EF%B8%8F-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AGNews","AltLex","AmazonPolarityClassification","AmazonQA","BioASQ","CCNews","CNNDM","CornStack","DBPedia","FEVER","FineWeb-Edu","GooAQ","HotpotQA","LMEBMLDR","MIRACLRetrieval","MNLI","MSMARCO","MedicalQARetrieval","MultiLongDocRetrieval","NPR","NQ","OpenCodeGeneticInstruct","PAQ","PawsXPairClassification","PubMedQA","QQP","QuoraRetrieval","Reddit","S2ORC","SNLI","SQuAD","StackExchange","SyntheticClassificationData","TriviaQA","WikiAnswers","XCodeEvalNLToCode","YahooAnswers"]},"zeroShotPct":98,"activeParamsB":0.113,"totalParamsB":0.151,"embeddingDim":768,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.864882,"SprintDuplicateQuestions":0.94805,"STS15":0.888167,"ArXivHierarchicalClusteringP2P":0.629501,"StackExchangeClustering.v2":0.615805,"ArXivHierarchicalClusteringS2S":0.603742,"ArguAna":0.50431,"ToxicConversationsClassification":0.797656,"TempReasonL1":0.01405,"BiorxivClusteringP2P.v2":0.447978,"SpartQA":0.07048,"STS14":0.810291,"STSBenchmark":0.867611,"SICK-R":0.817585,"SCIDOCS":0.2384,"WinoGrande":0.59825,"STS12":0.747192,"TwitterURLCorpus":0.860935,"TRECCOVID":0.80823,"StackOverflowQA":0.92429,"MedrxivClusteringP2P.v2":0.385612,"LEMBPasskeyRetrieval":0.99},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":208,"model":{"name":"google/text-embedding-004","url":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2024-05-14","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["vertexai"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.023303730906041334},"scoresByTask":{"STS13":0.903559,"SprintDuplicateQuestions":0.963748,"STS15":0.896639,"ArXivHierarchicalClusteringP2P":0.570909,"StackExchangeClustering.v2":0.913485,"ArXivHierarchicalClusteringS2S":0.548248,"ArguAna":0.58625,"AILAStatutes":0.41036,"ToxicConversationsClassification":0.897559,"BiorxivClusteringP2P.v2":0.399298,"STS14":0.852448,"STSBenchmark":0.889791,"SICK-R":0.81931,"SCIDOCS":0.20496,"STS12":0.775769,"TwitterURLCorpus":0.875299,"TRECCOVID":0.82547,"Robust04InstructionRetrieval":-0.0239655472289634,"News21InstructionRetrieval":0.039435171473957226,"Core17InstructionRetrieval":0.05444156847313018,"MedrxivClusteringP2P.v2":0.36798},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":209,"model":{"name":"ai-sage/Giga-Embeddings-instruct-480M-0826","url":"https://huggingface.co/ai-sage/Giga-Embeddings-instruct-480M-0826","zeroShotPct":-1,"activeParamsB":0.352,"totalParamsB":0.484,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2026-08-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Russian"],"citation":null,"memoryUsageMb":923.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.352,"totalParamsB":0.484,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.867109,"SprintDuplicateQuestions":0.95894,"STS15":0.882321,"ArXivHierarchicalClusteringP2P":0.667032,"StackExchangeClustering.v2":0.659485,"ArXivHierarchicalClusteringS2S":0.61784,"ArguAna":0.53766,"ToxicConversationsClassification":0.902344,"CEDRClassification":0.668757,"BiorxivClusteringP2P.v2":0.512919,"TERRa":0.648285,"STS14":0.807673,"STSBenchmark":0.870425,"SICK-R":0.825161,"SCIDOCS":0.19562,"RuBQReranking":0.75908,"STS12":0.744249,"TwitterURLCorpus":0.858406,"TRECCOVID":0.8655,"StackOverflowQA":0.92327,"MedrxivClusteringP2P.v2":0.491278},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":210,"model":{"name":"mongodb/voyage-code-2","url":"https://blog.voyageai.com/2024/01/23/voyage-code-2-elevate-your-code-retrieval/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":16000.0,"releaseDate":"2024-01-23","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":16000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.371625,"STS13":0.831122,"SprintDuplicateQuestions":0.932865,"STS15":0.852954,"NordicLangClassification":0.580133,"ArXivHierarchicalClusteringP2P":0.583721,"MassiveIntentClassification":0.44817278431372554,"StackExchangeClustering.v2":0.584565,"ArXivHierarchicalClusteringS2S":0.581643,"ToxicConversationsClassification":0.647559,"BiorxivClusteringP2P.v2":0.412579,"NorwegianCourtsBitextMining":0.926901,"BornholmBitextMining":0.271851,"STS14":0.772145,"STSBenchmark":0.847834,"DalajClassification":0.500676,"SICK-R":0.797786,"TwitterHjerneRetrieval":0.74833,"STS12":0.729377,"TwitterURLCorpus":0.848074,"MedrxivClusteringP2P.v2":0.358555,"ScalaClassification":0.503064},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":211,"model":{"name":"mongodb/voyage-2","url":"https://blog.voyageai.com/2023/10/29/voyage-embeddings/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":4000.0,"releaseDate":"2023-10-29","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":4000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.41143549999999995,"STS13":0.805375,"SprintDuplicateQuestions":0.932768,"STS15":0.836444,"NordicLangClassification":0.546,"ArXivHierarchicalClusteringP2P":0.574792,"MassiveIntentClassification":0.36835016666666665,"StackExchangeClustering.v2":0.561847,"ArXivHierarchicalClusteringS2S":0.545789,"ToxicConversationsClassification":0.649756,"BiorxivClusteringP2P.v2":0.416405,"NorwegianCourtsBitextMining":0.876253,"BornholmBitextMining":0.214653,"STS14":0.74775,"STSBenchmark":0.830537,"DalajClassification":0.500676,"SICK-R":0.794471,"TwitterHjerneRetrieval":0.59473,"STS12":0.710071,"TwitterURLCorpus":0.855549,"MedrxivClusteringP2P.v2":0.36315,"ScalaClassification":0.50131825},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":212,"model":{"name":"openai/text-embedding-ada-002","url":"https://openai.com/index/new-and-improved-embedding-model/","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":8191.0,"releaseDate":"2022-12-15","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["openai"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":8191,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8327133775815649,"SprintDuplicateQuestions":0.921694459308967,"STS15":0.8611791184256355,"MassiveIntentClassification":0.48717687254901965,"ArguAna":0.57437,"ToxicConversationsClassification":0.722926,"TempReasonL1":0.01679,"NorwegianCourtsBitextMining":0.920322,"SpartQA":0.04227,"BornholmBitextMining":0.413112,"STS14":0.7609025403033497,"STSBenchmark":0.8316780387096034,"DalajClassification":0.50045,"SICK-R":0.8060068499509984,"SCIDOCS":0.1836,"WinoGrande":0.19654,"STS12":0.6979701994332693,"TwitterURLCorpus":0.8722052422554326,"TRECCOVID":0.68474,"CovidRetrieval":0.57211},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":213,"model":{"name":"jcorners/ingot-8b-r3","url":"https://voxell.ai/engineering/ingot_poured/","zeroShotPct":96,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2026-05-23","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","SprintDuplicateQuestions","T2Retrieval","TwitterSemEval2015","TwitterURLCorpus"]},"zeroShotPct":96,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.94068,"SprintDuplicateQuestions":0.976531,"STS15":0.937217,"ArXivHierarchicalClusteringP2P":0.654871,"StackExchangeClustering.v2":0.79333,"ArXivHierarchicalClusteringS2S":0.64657,"ArguAna":0.76608,"ToxicConversationsClassification":0.916992,"BiorxivClusteringP2P.v2":0.505478,"STS14":0.904144,"STSBenchmark":0.935493,"SICK-R":0.88411,"SCIDOCS":0.32675,"STS12":0.863966,"TwitterURLCorpus":0.935961,"TRECCOVID":0.94949,"MedrxivClusteringP2P.v2":0.463035},"scoresByCustomGroup":{},"trainedOnTasks":["MedrxivClusteringP2P.v2","SprintDuplicateQuestions","TwitterURLCorpus"],"experiments":null},{"rank":214,"model":{"name":"ai-sage/Giga-Embeddings-instruct","url":"https://huggingface.co/ai-sage/Giga-Embeddings-instruct","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":3.227,"embeddingDim":2048,"maxTokens":4096.0,"releaseDate":"2025-09-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Russian"],"citation":null,"memoryUsageMb":12865.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":3.227,"embeddingDim":2048,"maxTokens":4096,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.880014,"SprintDuplicateQuestions":0.944659,"STS15":0.879416,"ArXivHierarchicalClusteringP2P":0.664339,"StackExchangeClustering.v2":0.682264,"ArXivHierarchicalClusteringS2S":0.653188,"ArguAna":0.47124,"ToxicConversationsClassification":0.902002,"CEDRClassification":0.698087,"BiorxivClusteringP2P.v2":0.527805,"TERRa":0.795677,"STS14":0.824645,"STSBenchmark":0.871684,"SICK-R":0.846631,"SCIDOCS":0.19865,"RuBQReranking":0.805069,"STS12":0.71922,"TwitterURLCorpus":0.855343,"TRECCOVID":0.8188,"MedrxivClusteringP2P.v2":0.484833},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":215,"model":{"name":"annamodels/LGAI-Embedding-Preview","url":"https://huggingface.co/annamodels/LGAI-Embedding-Preview","zeroShotPct":90,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2025-06-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{choi2025lgaiembeddingpreviewtechnicalreport,\n title={LGAI-EMBEDDING-Preview Technical Report},\n author={Jooyoung Choi and Hyun Kim and Hansol Jang and Changwook Jun and Kyunghoon Bae and Hyewon Choi and Stanley Jungkyu Choi and Honglak Lee and Chulmin Yun},\n year={2025},\n eprint={2506.07438},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2506.07438},\n}\n","memoryUsageMb":27125.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mistralai/Mistral-7B-v0.1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringS2S","ELI5","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","QuoraDuplicateQuestions","RedditClustering","RedditClusteringP2P","SNLI","SQuAD","STS12","STS22","STSBenchmark","SciDocsReranking","StackExchangeClustering","StackExchangeClusteringP2P","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.904385,"SprintDuplicateQuestions":0.974453,"STS15":0.919032,"ArXivHierarchicalClusteringP2P":0.655244,"StackExchangeClustering.v2":0.791455,"ArXivHierarchicalClusteringS2S":0.639664,"ArguAna":0.86948,"ToxicConversationsClassification":0.927588,"BiorxivClusteringP2P.v2":0.535128,"STS14":0.882823,"STSBenchmark":0.914649,"SICK-R":0.848918,"SCIDOCS":0.27257,"STS12":0.817878,"TwitterURLCorpus":0.881301,"TRECCOVID":0.901,"MedrxivClusteringP2P.v2":0.469576},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":216,"model":{"name":"w601sxs/b1ade-embed","url":"https://huggingface.co/w601sxs/b1ade-embed","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":4096.0,"releaseDate":"2025-03-10","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-large-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":4096,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.9000142148909681,"SprintDuplicateQuestions":0.9687211054415706,"STS15":0.8981153125001883,"ArXivHierarchicalClusteringP2P":0.612698,"ArXivHierarchicalClusteringS2S":0.600829,"ArguAna":0.65989,"AILAStatutes":0.27288,"ToxicConversationsClassification":0.679052734375,"BiorxivClusteringP2P.v2":0.422383,"BornholmBitextMining":0.320184,"STS14":0.8496999168443673,"STSBenchmark":0.8876691675006461,"SICK-R":0.8283001707430855,"SCIDOCS":0.23785,"STS12":0.7865009395911503,"LegalBenchCorporateLobbying":0.93317,"TwitterURLCorpus":0.8610715470590844,"TRECCOVID":0.69163,"StackOverflowQA":0.83458,"MedrxivClusteringP2P.v2":0.370816,"LEMBPasskeyRetrieval":0.3725},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":217,"model":{"name":"mongodb/voyage-code-3","url":"https://blog.voyageai.com/2024/12/04/voyage-code-3/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2024-12-04","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.330787,"STS13":0.86321,"SprintDuplicateQuestions":0.934651,"STS15":0.864802,"NordicLangClassification":0.5028,"ArXivHierarchicalClusteringP2P":0.5591,"MassiveIntentClassification":0.5983542745098039,"StackExchangeClustering.v2":0.620353,"ArXivHierarchicalClusteringS2S":0.579447,"ToxicConversationsClassification":0.62959,"BiorxivClusteringP2P.v2":0.416871,"NorwegianCourtsBitextMining":0.924708,"BornholmBitextMining":0.430605,"STS14":0.799945,"STSBenchmark":0.8477,"DalajClassification":0.499212,"SICK-R":0.831959,"TwitterHjerneRetrieval":0.82596,"STS12":0.744819,"TwitterURLCorpus":0.859149,"StackOverflowQA":0.97168,"MedrxivClusteringP2P.v2":0.367373,"ScalaClassification":0.5055540000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":218,"model":{"name":"google/text-embedding-005","url":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2024-11-18","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["vertexai"],"trainingDatasets":["FEVERHardNegatives","HotpotQAHardNegatives","MIRACLRetrievalHardNegatives","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.903475,"SprintDuplicateQuestions":0.964921,"STS15":0.90201,"ArXivHierarchicalClusteringP2P":0.573169,"StackExchangeClustering.v2":0.909305,"ArXivHierarchicalClusteringS2S":0.561114,"ArguAna":0.57976,"AILAStatutes":0.35394,"ToxicConversationsClassification":0.880615,"BiorxivClusteringP2P.v2":0.408443,"STS14":0.854977,"STSBenchmark":0.891067,"SICK-R":0.826039,"SCIDOCS":0.21042,"STS12":0.781241,"TwitterURLCorpus":0.874423,"TRECCOVID":0.84907,"StackOverflowQA":0.73454,"MedrxivClusteringP2P.v2":0.366714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":219,"model":{"name":"infly/inf-retriever-v1","url":"https://huggingface.co/infly/inf-retriever-v1","zeroShotPct":96,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2024-12-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{infly-ai_2025,\n author = {Junhan Yang and Jiahe Wan and Yichen Yao and Wei Chu and Yinghui Xu and Yuan Qi},\n title = {inf-retriever-v1 (Revision 5f469d7)},\n year = 2025,\n url = {https://huggingface.co/infly/inf-retriever-v1},\n doi = {10.57967/hf/4262},\n publisher = {Hugging Face}\n}","memoryUsageMb":13483.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-Qwen2-7B-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ArguAna","CQADupstackRetrieval","ClimateFEVER","CmedqaRetrieval","CovidRetrieval","DBPedia","DuRetrieval","EcomRetrieval","FEVER","FiQA2018","HotpotQA","MMarcoRetrieval","MSMARCO","MedicalRetrieval","NFCorpus","NQ","QuoraRetrieval","SCIDOCS","SciFact","T2Retrieval","TRECCOVID","Touche2020","VideoRetrieval"]},"zeroShotPct":96,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.02630333333333333,"Retrieval":0.6647961153561108},"scoresByTask":{"MLQARetrieval":0.8030828571428571,"StatcanDialogueDatasetRetrieval":0.37297,"WikipediaRetrievalMultilingual":0.92015375,"ArguAna":0.84855,"AILAStatutes":0.37727,"TempReasonL1":0.01689,"SpartQA":0.07768,"HagridRetrieval":0.9897,"MIRACLRetrievalHardNegatives":0.6093377777777778,"SCIDOCS":0.30776,"BelebeleRetrieval":0.7736756914893618,"TwitterHjerneRetrieval":0.79299,"WinoGrande":0.75611,"LegalBenchCorporateLobbying":0.9618,"TRECCOVID":0.75097,"Robust04InstructionRetrieval":-0.004608,"News21InstructionRetrieval":0.020533,"StackOverflowQA":0.94219,"Core17InstructionRetrieval":0.062985,"CovidRetrieval":0.8777,"LEMBPasskeyRetrieval":0.7875},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","CovidRetrieval","SCIDOCS","TRECCOVID"],"experiments":null},{"rank":220,"model":{"name":"sentence-transformers/sentence-t5-large","url":"https://huggingface.co/sentence-transformers/sentence-t5-large","zeroShotPct":100,"activeParamsB":0.303,"totalParamsB":0.336,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021sentencet5scalablesentenceencoders,\n title={Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models},\n author={Jianmo Ni and Gustavo Hernández Ábrego and Noah Constant and Ji Ma and Keith B. Hall and Daniel Cer and Yinfei Yang},\n year={2021},\n eprint={2108.08877},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2108.08877},\n}\n","memoryUsageMb":639.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","SNLI"]},"zeroShotPct":100,"activeParamsB":0.303,"totalParamsB":0.336,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8732740632069934,"SprintDuplicateQuestions":0.8901523683116712,"STS15":0.8827564644599094,"STS17":0.444267647597141,"ArguAna":0.39271,"ToxicConversationsClassification":0.717348,"Tatoeba":0.16297119588135134,"STS14":0.8317025300846403,"STSBenchmark":0.8535933660491871,"SICK-R":0.8033862272962333,"SCIDOCS":0.15377,"STS12":0.7911038370962654,"TwitterURLCorpus":0.8614308838293689,"TRECCOVID":0.46107},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":221,"model":{"name":"mteb/baseline-bm25s","url":"https://github.com/xhluca/bm25s","zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":null,"maxTokens":null,"releaseDate":"2026-05-06","modelType":"sparse","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Chinese","Chinese (Traditional)","Dutch","English","French","German","Italian","Mandarin Chinese","Mandarin Chinese (Traditional)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Portuguese","Spanish","Swedish"],"citation":"@misc{bm25s,\n title={BM25S: Orders of magnitude faster lexical search via eager sparse scoring},\n author={Xing Han Lù},\n year={2024},\n eprint={2407.03618},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2407.03618},\n}","memoryUsageMb":null,"license":null,"publicTrainingCode":"https://github.com/xhluca/bm25s","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["bm25s"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.029489666666666667,"Retrieval":0.44238475790266857,"Reranking":0.2970030694444445},"scoresByTask":{"WikipediaRerankingMultilingual":0.83423875,"MLQARetrieval":0.21068612244897958,"StatcanDialogueDatasetRetrieval":0.06053,"WikipediaRetrievalMultilingual":0.780714375,"ArguAna":0.49276,"AILAStatutes":0.21618,"TempReasonL1":0.01132,"SpartQA":0.21435,"HagridRetrieval":0.97619,"MIRACLRetrievalHardNegatives":0.2651177777777778,"SCIDOCS":0.15783,"BelebeleRetrieval":0.3756173670212766,"TwitterHjerneRetrieval":0.25955,"WinoGrande":0.55443,"RuBQReranking":0.38773,"LegalBenchCorporateLobbying":0.90946,"T2Reranking":0.0188,"TRECCOVID":0.62314,"Robust04InstructionRetrieval":-0.038835,"News21InstructionRetrieval":-0.029196,"StackOverflowQA":0.7026,"Core17InstructionRetrieval":-0.020438,"WebLINXCandidatesReranking":0.06962966666666666,"VoyageMMarcoReranking":0.02558,"AlloprofReranking":0.44604,"CovidRetrieval":0.15245,"LEMBPasskeyRetrieval":1.0},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":222,"model":{"name":"KiteFishAI/Nano-Em1-0.6B-v2.1","url":"https://huggingface.co/KiteFishAI/Nano-Em1-0.6B-v2.1","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960.0,"releaseDate":"2026-08-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1137.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviews","Arxiv","CodeSearchNet","DBPedia","FEVER","HotpotQA","MIRACLRetrieval","MSMARCO","MrTidyRetrieval","NQ"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.896765,"SprintDuplicateQuestions":1.0,"STS15":0.907883,"ArXivHierarchicalClusteringP2P":0.660464,"StackExchangeClustering.v2":0.762617,"ArXivHierarchicalClusteringS2S":0.637239,"ArguAna":0.59137,"ToxicConversationsClassification":0.85855,"BiorxivClusteringP2P.v2":0.47946,"STS14":0.855324,"STSBenchmark":0.890518,"SICK-R":0.826716,"SCIDOCS":0.19919,"STS12":0.807714,"TwitterURLCorpus":0.925433,"TRECCOVID":0.5683,"MedrxivClusteringP2P.v2":0.420354},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":223,"model":{"name":"Tarka-AIR/Tarka-Embedding-350M-V1","url":"https://huggingface.co/Tarka-AIR/Tarka-Embedding-350M-V1","zeroShotPct":99,"activeParamsB":0.287,"totalParamsB":0.354,"embeddingDim":1024,"maxTokens":128000.0,"releaseDate":"2025-11-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","French","German","Japanese","Korean","Spanish","Standard Arabic"],"citation":"@misc{tarka_ai_research_2025,\n\tauthor = { Tarka AI Research },\n\ttitle = { Tarka-Embedding-350M-V1 (Revision f4b5de8) },\n\tyear = 2025,\n\turl = { https://huggingface.co/Tarka-AIR/Tarka-Embedding-350M-V1 },\n\tdoi = { 10.57967/hf/6979 },\n\tpublisher = { Hugging Face }\n}","memoryUsageMb":676.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.287,"totalParamsB":0.354,"embeddingDim":1024,"maxTokens":128000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.890416,"SprintDuplicateQuestions":0.944949,"STS15":0.900117,"ArXivHierarchicalClusteringP2P":0.646583,"StackExchangeClustering.v2":0.744941,"ArXivHierarchicalClusteringS2S":0.614904,"ArguAna":0.62669,"ToxicConversationsClassification":0.922363,"BiorxivClusteringP2P.v2":0.492323,"STS14":0.848424,"STSBenchmark":0.89131,"SICK-R":0.827028,"SCIDOCS":0.20753,"STS12":0.819674,"TwitterURLCorpus":0.862866,"TRECCOVID":0.78823,"MedrxivClusteringP2P.v2":0.441816},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":224,"model":{"name":"mongodb/voyage-3-large","url":"https://blog.voyageai.com/2025/01/07/voyage-3-large/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2025-01-07","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"mongodb/voyage-4-large","extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.040034999999999994},"scoresByTask":{"MLQARetrieval":0.8324698979591836,"StatcanDialogueDatasetRetrieval":0.5061825,"WikipediaRetrievalMultilingual":0.928861875,"ArguAna":0.66777,"AILAStatutes":0.52196,"TempReasonL1":0.02856,"SpartQA":0.05365,"HagridRetrieval":0.98822,"MIRACLRetrievalHardNegatives":0.6007555555555555,"SCIDOCS":0.27226,"BelebeleRetrieval":0.8017622074468085,"TwitterHjerneRetrieval":0.85971,"WinoGrande":0.45303,"LegalBenchCorporateLobbying":0.96958,"TRECCOVID":0.81405,"Robust04InstructionRetrieval":0.020356,"News21InstructionRetrieval":0.032759,"StackOverflowQA":0.95704,"Core17InstructionRetrieval":0.06699,"LEMBPasskeyRetrieval":0.9675},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":225,"model":{"name":"codefuse-ai/F2LLM-4B","url":"https://huggingface.co/codefuse-ai/F2LLM-4B","zeroShotPct":90,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":8192.0,"releaseDate":"2025-09-18","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{2025F2LLM,\n title={F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n journal={CoRR},\n volume={abs/2510.02294},\n year={2025},\n url={https://doi.org/10.48550/arXiv.2510.02294},\n doi={10.48550/ARXIV.2510.02294},\n eprinttype={arXiv},\n eprint={2510.02294}\n}","memoryUsageMb":7672.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CNNDM","COLIEE","CoLA","ELI5","EmotionClassification","FEVER","FiQA2018","HotpotQA","ImdbClassification","MIRACLRetrieval","MNLI","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","NFCorpus","NQ","PAQ","PubMedQA","QQP","RedditClustering","RedditClusteringP2P","S2ORC","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","XSum"]},"zeroShotPct":90,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.892963,"SprintDuplicateQuestions":0.911723,"STS15":0.890881,"ArXivHierarchicalClusteringP2P":0.656034,"StackExchangeClustering.v2":0.788153,"ArXivHierarchicalClusteringS2S":0.644966,"ArguAna":0.61926,"ToxicConversationsClassification":0.920166,"BiorxivClusteringP2P.v2":0.841711,"STS14":0.854702,"STSBenchmark":0.87232,"SICK-R":0.816987,"SCIDOCS":0.26702,"STS12":0.816399,"TwitterURLCorpus":0.857958,"TRECCOVID":0.6064,"MedrxivClusteringP2P.v2":0.719946},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":226,"model":{"name":"codefuse-ai/F2LLM-1.7B","url":"https://huggingface.co/codefuse-ai/F2LLM-1.7B","zeroShotPct":90,"activeParamsB":1.409,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":8192.0,"releaseDate":"2025-09-18","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{2025F2LLM,\n title={F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data},\n author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang},\n journal={CoRR},\n volume={abs/2510.02294},\n year={2025},\n url={https://doi.org/10.48550/arXiv.2510.02294},\n doi={10.48550/ARXIV.2510.02294},\n eprinttype={arXiv},\n eprint={2510.02294}\n}","memoryUsageMb":3282.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM","publicTrainingData":"https://huggingface.co/datasets/codefuse-ai/F2LLM","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ANLI","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonQA","AmazonReviewClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BioASQ","BiorxivClusteringP2P","BiorxivClusteringS2S","CNNDM","COLIEE","CoLA","ELI5","EmotionClassification","FEVER","FiQA2018","HotpotQA","ImdbClassification","MIRACLRetrieval","MNLI","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","MrTidyRetrieval","NFCorpus","NQ","PAQ","PubMedQA","QQP","RedditClustering","RedditClusteringP2P","S2ORC","SNLI","SPECTER","SQuAD","STS12","STS22","STSBenchmark","SciFact","SentenceCompression","StackExchange","StackExchangeClustering","StackExchangeClusteringP2P","StackExchangeDupQuestions","StackOverflowDupQuestions","ToxicConversationsClassification","TriviaQA","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","XSum"]},"zeroShotPct":90,"activeParamsB":1.409,"totalParamsB":1.721,"embeddingDim":2048,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.879525,"SprintDuplicateQuestions":0.940714,"STS15":0.885788,"ArXivHierarchicalClusteringP2P":0.6661,"StackExchangeClustering.v2":0.765009,"ArXivHierarchicalClusteringS2S":0.642938,"ArguAna":0.60974,"ToxicConversationsClassification":0.903613,"BiorxivClusteringP2P.v2":0.737536,"STS14":0.84095,"STSBenchmark":0.873581,"SICK-R":0.814346,"SCIDOCS":0.2472,"STS12":0.807027,"TwitterURLCorpus":0.85895,"TRECCOVID":0.62039,"MedrxivClusteringP2P.v2":0.613148},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":227,"model":{"name":"infly/inf-retriever-v1-1.5b","url":"https://huggingface.co/infly/inf-retriever-v1-1.5b","zeroShotPct":96,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":32768.0,"releaseDate":"2025-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{infly-ai_2025,\n author = {Junhan Yang and Jiahe Wan and Yichen Yao and Wei Chu and Yinghui Xu and Yuan Qi},\n title = {inf-retriever-v1 (Revision 5f469d7)},\n year = 2025,\n url = {https://huggingface.co/infly/inf-retriever-v1},\n doi = {10.57967/hf/4262},\n publisher = {Hugging Face}\n}","memoryUsageMb":2944.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-Qwen2-1.5B-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ArguAna","CQADupstackRetrieval","ClimateFEVER","CmedqaRetrieval","CovidRetrieval","DBPedia","DuRetrieval","EcomRetrieval","FEVER","FiQA2018","HotpotQA","MMarcoRetrieval","MSMARCO","MedicalRetrieval","NFCorpus","NQ","QuoraRetrieval","SCIDOCS","SciFact","T2Retrieval","TRECCOVID","Touche2020","VideoRetrieval"]},"zeroShotPct":96,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0009466666666666665,"Retrieval":0.6296295882350181},"scoresByTask":{"MLQARetrieval":0.7293028571428573,"StatcanDialogueDatasetRetrieval":0.31310499999999997,"WikipediaRetrievalMultilingual":0.8892825,"ArguAna":0.81503,"AILAStatutes":0.3469,"TempReasonL1":0.01177,"SpartQA":0.08564,"HagridRetrieval":0.98646,"MIRACLRetrievalHardNegatives":0.6234755555555556,"SCIDOCS":0.26337,"BelebeleRetrieval":0.6605966755319149,"TwitterHjerneRetrieval":0.70459,"WinoGrande":0.67738,"LegalBenchCorporateLobbying":0.95004,"TRECCOVID":0.72363,"Robust04InstructionRetrieval":-0.027522,"News21InstructionRetrieval":-0.000653,"StackOverflowQA":0.91315,"Core17InstructionRetrieval":0.031015,"CovidRetrieval":0.86711,"LEMBPasskeyRetrieval":0.7725},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","CovidRetrieval","SCIDOCS","TRECCOVID"],"experiments":null},{"rank":228,"model":{"name":"mongodb/voyage-3-m-exp","url":"https://huggingface.co/voyageai/voyage-3-m-exp","zeroShotPct":90,"activeParamsB":null,"totalParamsB":6.918,"embeddingDim":2048,"maxTokens":32000.0,"releaseDate":"2025-01-08","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArguAna-PL","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","DBPedia","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MindSmallReranking","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoArguAnaRetrieval","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","QuoraRetrieval","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","SciFact","StackOverflowDupQuestions","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","mMARCO-NL"]},"zeroShotPct":90,"activeParamsB":null,"totalParamsB":6.918,"embeddingDim":2048,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.881872,"SprintDuplicateQuestions":0.920854,"STS15":0.894459,"ArXivHierarchicalClusteringP2P":0.559641,"StackExchangeClustering.v2":0.561311,"ArXivHierarchicalClusteringS2S":0.593684,"ArguAna":0.89786,"ToxicConversationsClassification":0.975928,"BiorxivClusteringP2P.v2":0.406559,"STS14":0.840718,"STSBenchmark":0.883237,"SICK-R":0.81625,"SCIDOCS":0.34529,"STS12":0.785685,"TwitterURLCorpus":0.871156,"TRECCOVID":0.82747,"MedrxivClusteringP2P.v2":0.350177},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":229,"model":{"name":"geevec-ai/geevec-embeddings-1.0","url":"https://www.geevec.com/documentation","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2026-04-02","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Retrieval":0.7993588776682856},"scoresByTask":{"MLQARetrieval":0.8480105102040816,"StatcanDialogueDatasetRetrieval":0.7471425,"WikipediaRetrievalMultilingual":0.933155,"ArguAna":0.86338,"AILAStatutes":0.83115,"TempReasonL1":0.04175,"SpartQA":0.90919,"HagridRetrieval":0.99018,"MIRACLRetrievalHardNegatives":0.7306338888888889,"SCIDOCS":0.31032,"BelebeleRetrieval":0.8798778989361702,"TwitterHjerneRetrieval":0.85349,"WinoGrande":0.90418,"LegalBenchCorporateLobbying":0.95598,"TRECCOVID":0.90026,"StackOverflowQA":0.96206,"CovidRetrieval":0.8777,"LEMBPasskeyRetrieval":0.85},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":230,"model":{"name":"ibm-granite/granite-embedding-english-r2","url":"https://huggingface.co/ibm-granite/granite-embedding-english-r2","zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-08-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{awasthy2025graniteembeddingr2models,\n title={Granite Embedding R2 Models},\n author={Parul Awasthy and Aashka Trivedi and Yulong Li and Meet Doshi and Riyaz Bhat and Vignesh P and Vishwajeet Kumar and Yushu Yang and Bhavani Iyer and Abraham Daniels and Rudra Murthy and Ken Barker and Martin Franz and Madison Lee and Todd Ward and Salim Roukos and David Cox and Luis Lastras and Jaydeep Sen and Radu Florian},\n year={2025},\n journal={arXiv preprint arXiv:2508.21085},\n url={https://arxiv.org/abs/2508.21085},\n}","memoryUsageMb":284.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.840914,"SprintDuplicateQuestions":0.946306,"STS15":0.853734,"ArXivHierarchicalClusteringP2P":0.590566,"StackExchangeClustering.v2":0.595758,"ArXivHierarchicalClusteringS2S":0.573636,"ArguAna":0.59215,"AILAStatutes":0.28331,"ToxicConversationsClassification":0.620801,"BiorxivClusteringP2P.v2":0.418412,"STS14":0.747689,"STSBenchmark":0.791728,"MIRACLRetrievalHardNegatives":0.1920088888888889,"SICK-R":0.713409,"SCIDOCS":0.2495,"STS12":0.670177,"TwitterURLCorpus":0.833369,"TRECCOVID":0.70565,"StackOverflowQA":0.91804,"MedrxivClusteringP2P.v2":0.361477,"LEMBPasskeyRetrieval":0.8175},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2"],"experiments":null},{"rank":231,"model":{"name":"MongoDB/mdbr-leaf-mt","url":"https://huggingface.co/MongoDB/mdbr-leaf-mt","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2025-08-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{mdbr_leaf,\n title={LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations},\n author={Robin Vujanic and Thomas Rueckstiess},\n year={2025},\n eprint={2509.12539},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2509.12539}\n}","memoryUsageMb":86.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"nreimers/MiniLM-L6-H384-uncased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","LoTTE","MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.888314,"SprintDuplicateQuestions":0.96575,"STS15":0.880785,"ArXivHierarchicalClusteringP2P":0.602909,"StackExchangeClustering.v2":0.581902,"ArXivHierarchicalClusteringS2S":0.533868,"ArguAna":0.61227,"AILAStatutes":0.19177,"ToxicConversationsClassification":0.668457,"BiorxivClusteringP2P.v2":0.420003,"STS14":0.832192,"STSBenchmark":0.872129,"SICK-R":0.806254,"SCIDOCS":0.18689,"STS12":0.773629,"TwitterURLCorpus":0.854516,"TRECCOVID":0.67331,"StackOverflowQA":0.7034,"MedrxivClusteringP2P.v2":0.377913},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":232,"model":{"name":"mixedbread-ai/deepset-mxbai-embed-de-large-v1","url":"https://huggingface.co/mixedbread-ai/deepset-mxbai-embed-de-large-v1","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.487,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-07-12","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","German"],"citation":null,"memoryUsageMb":929.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.487,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.828023,"SprintDuplicateQuestions":0.94644,"STS15":0.897112,"ArXivHierarchicalClusteringP2P":0.56833,"StackExchangeClustering.v2":0.533927,"ArXivHierarchicalClusteringS2S":0.563596,"ArguAna":0.57466,"ToxicConversationsClassification":0.649951,"BiorxivClusteringP2P.v2":0.384823,"STS14":0.813296,"STSBenchmark":0.868227,"SICK-R":0.817013,"SCIDOCS":0.19761,"STS12":0.805676,"TwitterURLCorpus":0.864542,"TRECCOVID":0.69714,"MedrxivClusteringP2P.v2":0.358265,"GermanSTSBenchmark":0.85012},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":233,"model":{"name":"facebook/SONAR","url":"https://ai.meta.com/research/publications/sonar-sentence-level-multimodal-and-language-agnostic-representations/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2021-05-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Achinese","Achinese (Arabic)","Afrikaans","Akan","Amharic","Armenian","Assamese","Asturian","Awadhi","Ayacucho Quechua","Balinese","Bambara","Banjar","Banjar (Arabic)","Bashkir","Basque","Belarusian","Bemba (Zambia)","Bengali","Bhojpuri","Bosnian","Buginese","Bulgarian","Burmese","Catalan","Cebuano","Central Atlas Tamazight","Central Aymara","Central Kanuri","Central Kanuri (Arabic)","Central Kurdish","Chhattisgarhi","Chinese","Chinese (Traditional)","Chokwe","Crimean Tatar","Croatian","Czech","Danish","Dari","Dutch","Dyula","Dzongkha","Eastern Yiddish","Egyptian Arabic","English","Esperanto","Estonian","Ewe","Faroese","Fijian","Finnish","Fon","French","Friulian","Galician","Ganda","Georgian","German","Guarani","Gujarati","Haitian","Halh Mongolian","Hausa","Hebrew","Hindi","Hungarian","Icelandic","Igbo","Iloko","Indonesian","Iranian Persian","Irish","Italian","Japanese","Javanese","Kabiyè","Kabuverdianu","Kabyle","Kachin","Kamba (Kenya)","Kannada","Kashmiri","Kashmiri (Arabic)","Kazakh","Khmer","Kikuyu","Kimbundu","Kinyarwanda","Kirghiz","Kongo","Korean","Lao","Latgalian","Levantine Arabic","Ligurian","Limburgan","Lingala","Lithuanian","Lombard","Luba-Lulua","Luo (Kenya and Tanzania)","Lushai","Luxembourgish","Macedonian","Magahi","Maithili","Malayalam","Maltese","Manipuri","Maori","Marathi","Mesopotamian Arabic","Minangkabau","Minangkabau (Arabic)","Modern Greek (1453-)","Moroccan Arabic","Mossi","Najdi Arabic","Nepali (individual language)","Nigerian Fulfulde","North Azerbaijani","Northern Kurdish","Northern Uzbek","Norwegian Bokmål","Norwegian Nynorsk","Nuer","Nyanja","Occitan (post 1500)","Odia","Pangasinan","Panjabi","Papiamento","Pedi","Plateau Malagasy","Polish","Portuguese","Romanian","Rundi","Russian","Samoan","Sango","Sanskrit","Santali","Sardinian","Scottish Gaelic","Serbian","Shan","Shona","Sicilian","Silesian","Sindhi","Sinhala","Slovak","Slovenian","Somali","South Azerbaijani","South Levantine Arabic","Southern Pashto","Southern Sotho","Southwestern Dinka","Spanish","Standard Arabic","Standard Arabic (Latin)","Standard Latvian","Standard Malay","Sundanese","Swahili (individual language)","Swati","Swedish","Ta'izzi-Adeni Arabic","Tagalog","Tajik","Tamasheq","Tamasheq (Latin)","Tamil","Tatar","Telugu","Thai","Tibetan","Tigrinya","Tok Pisin","Tosk Albanian","Tsonga","Tswana","Tumbuka","Tunisian Arabic","Turkish","Turkmen","Twi","Uighur","Ukrainian","Umbundu","Urdu","Venetian","Vietnamese","Waray (Philippines)","Welsh","West Central Oromo","Wolof","Xhosa","Yoruba","Yue Chinese","Zulu"],"citation":"@misc{Duquenne:2023:sonar_arxiv,\n author = {Paul-Ambroise Duquenne and Holger Schwenk and Benoit Sagot},\n title = {{SONAR:} Sentence-Level Multimodal and Language-Agnostic Representations},\n publisher = {arXiv},\n year = {2023},\n url = {https://arxiv.org/abs/2308.11466},\n}","memoryUsageMb":null,"license":"mit","publicTrainingCode":"https://github.com/facebookresearch/SONAR","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"PolEmo2.0-OUT":0.38400809716599194,"STS13":0.6278607195958339,"SprintDuplicateQuestions":0.7741658577240027,"STS15":0.7425087788257944,"STS17":0.7583046503470691,"NordicLangClassification":0.48403333333333337,"ArguAna":0.18295000000000003,"ToxicConversationsClassification":0.6728359999999999,"NorwegianCourtsBitextMining":0.9298245614035088,"BornholmBitextMining":0.47370268620268613,"WikiCitiesClustering":0.5071744674029636,"Tatoeba":0.8211026380863075,"STS14":0.5753693422381856,"PpcPC":0.8536544548691205,"STSBenchmark":0.6739086924655895,"DalajClassification":0.4975225225225225,"SICK-R":0.6293971145260584,"SCIDOCS":0.0179,"STS12":0.6546320476565409,"T2Reranking":0.5534794621490011,"TwitterURLCorpus":0.8353209944887666,"TRECCOVID":0.24823,"PAC":0.7386620330147698,"CovidRetrieval":0.10382},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":234,"model":{"name":"mongodb/voyage-finance-2","url":"https://blog.voyageai.com/2024/06/03/domain-specific-embeddings-finance-edition-voyage-finance-2/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2024-05-30","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.358487,"STS13":0.807514,"SprintDuplicateQuestions":0.808624,"STS15":0.790754,"NordicLangClassification":0.5891,"ArXivHierarchicalClusteringP2P":0.57776,"MassiveIntentClassification":0.5902265392156864,"StackExchangeClustering.v2":0.578132,"ArXivHierarchicalClusteringS2S":0.570735,"ToxicConversationsClassification":0.618457,"BiorxivClusteringP2P.v2":0.408104,"NorwegianCourtsBitextMining":0.924708,"BornholmBitextMining":0.436481,"STS14":0.725824,"STSBenchmark":0.756297,"DalajClassification":0.498198,"SICK-R":0.789699,"TwitterHjerneRetrieval":0.88518,"STS12":0.678601,"TwitterURLCorpus":0.841848,"MedrxivClusteringP2P.v2":0.354833,"ScalaClassification":0.51027825},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":235,"model":{"name":"TencentBAC/Conan-embedding-v2","url":"https://huggingface.co/TencentBAC/Conan-embedding-v2","zeroShotPct":91,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2025-04-10","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","BQ","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv2-reranking","Cmnli","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","LCQMC","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS-B","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","T2Reranking","T2Retrieval","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":91,"activeParamsB":null,"totalParamsB":null,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.885889,"SprintDuplicateQuestions":0.968835,"STS15":0.891791,"ArguAna":0.77792,"ToxicConversationsClassification":0.964502,"STS14":0.871524,"STSBenchmark":0.861931,"SICK-R":0.833188,"SCIDOCS":0.31628,"STS12":0.84796,"T2Reranking":0.728345,"TwitterURLCorpus":0.957069,"TRECCOVID":0.84663,"CovidRetrieval":0.96057},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":236,"model":{"name":"GeoGPT-Research-Project/GeoEmbedding","url":"https://huggingface.co/GeoGPT-Research-Project/GeoEmbedding","zeroShotPct":92,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2025-04-22","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":27625.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArguAna","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringS2S","EmotionClassification","FEVER","FiQA2018","HotpotQA","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MedrixvClusteringP2P","MedrixvClusteringS2S","NFCorpus","STS12","STS22","STSBenchmark","SciFact","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering"]},"zeroShotPct":92,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.822776,"SprintDuplicateQuestions":0.935964,"STS15":0.870581,"ArXivHierarchicalClusteringP2P":0.645156,"StackExchangeClustering.v2":0.538504,"ArXivHierarchicalClusteringS2S":0.643711,"ArguAna":0.77873,"ToxicConversationsClassification":0.845605,"BiorxivClusteringP2P.v2":0.476,"STS14":0.782074,"STSBenchmark":0.840544,"SICK-R":0.800756,"SCIDOCS":0.22138,"STS12":0.678271,"TwitterURLCorpus":0.859808,"TRECCOVID":0.77264,"MedrxivClusteringP2P.v2":0.460144},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","STS12","STS22.v2","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":237,"model":{"name":"sentence-transformers/sentence-t5-base","url":"https://huggingface.co/sentence-transformers/sentence-t5-base","zeroShotPct":100,"activeParamsB":0.198,"totalParamsB":0.223,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021sentencet5scalablesentenceencoders,\n title={Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models},\n author={Jianmo Ni and Gustavo Hernández Ábrego and Noah Constant and Ji Ma and Keith B. Hall and Daniel Cer and Yinfei Yang},\n year={2021},\n eprint={2108.08877},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2108.08877},\n}\n","memoryUsageMb":209.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","SNLI"]},"zeroShotPct":100,"activeParamsB":0.198,"totalParamsB":0.223,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8584897342040492,"SprintDuplicateQuestions":0.9122814257221482,"STS15":0.8745860981918768,"STS17":0.3869374269965659,"AmazonCounterfactualClassification":0.3909785698177479,"ArguAna":0.44846,"ToxicConversationsClassification":0.14328836562980976,"STS14":0.8218926664662587,"STSBenchmark":0.8552030817522575,"SICK-R":0.8018231249099851,"SCIDOCS":0.14155,"STS12":0.780511871449349,"TwitterURLCorpus":0.8604575990028458,"TRECCOVID":0.40699},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":238,"model":{"name":"perplexity-ai/pplx-embed-v1-4b","url":"https://huggingface.co/perplexity-ai/pplx-embed-v1-4b","zeroShotPct":99,"activeParamsB":3.611,"totalParamsB":4.0,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2026-02-11","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{eslami2026diffusionpretraineddensecontextualembeddings,\n title={Diffusion-Pretrained Dense and Contextual Embeddings},\n author={Sedigheh Eslami and Maksim Gaiduk and Markus Krimmel and Louis Milliken and Bo Wang and Denis Bykov},\n year={2026},\n eprint={2602.11151},\n archivePrefix={arXiv},\n primaryClass={cs.LG},\n url={https://arxiv.org/abs/2602.11151},\n}","memoryUsageMb":15344.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-4B","supersededBy":null,"extraRequirementsGroups":["transformers-v4"],"trainingDatasets":["FEVER","FiQA2018","HotpotQA","MIRACLRetrieval","MSMARCO","NQ"]},"zeroShotPct":99,"activeParamsB":3.611,"totalParamsB":4.0,"embeddingDim":2560,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Retrieval":0.696627036288215},"scoresByTask":{"MLQARetrieval":0.8334497959183673,"StatcanDialogueDatasetRetrieval":0.5653075,"WikipediaRetrievalMultilingual":0.926849375,"ArguAna":0.69988,"AILAStatutes":0.60998,"TempReasonL1":0.01187,"SpartQA":0.23301,"HagridRetrieval":0.98769,"MIRACLRetrievalHardNegatives":0.6624183333333333,"SCIDOCS":0.23868,"BelebeleRetrieval":0.7787716489361701,"TwitterHjerneRetrieval":0.75674,"WinoGrande":0.82399,"LegalBenchCorporateLobbying":0.94849,"TRECCOVID":0.8561,"StackOverflowQA":0.9361,"CovidRetrieval":0.77496,"LEMBPasskeyRetrieval":0.895},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":239,"model":{"name":"ibm-granite/granite-embedding-small-english-r2","url":"https://huggingface.co/ibm-granite/granite-embedding-small-english-r2","zeroShotPct":96,"activeParamsB":0.028,"totalParamsB":0.048,"embeddingDim":384,"maxTokens":8192.0,"releaseDate":"2025-08-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{awasthy2025graniteembeddingr2models,\n title={Granite Embedding R2 Models},\n author={Parul Awasthy and Aashka Trivedi and Yulong Li and Meet Doshi and Riyaz Bhat and Vignesh P and Vishwajeet Kumar and Yushu Yang and Bhavani Iyer and Abraham Daniels and Rudra Murthy and Ken Barker and Martin Franz and Madison Lee and Todd Ward and Salim Roukos and David Cox and Luis Lastras and Jaydeep Sen and Radu Florian},\n year={2025},\n journal={arXiv preprint arXiv:2508.21085},\n url={https://arxiv.org/abs/2508.21085},\n}","memoryUsageMb":91.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","DBPedia","DBPedia-NL","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQHardNegatives","StackExchangeClustering","StackExchangeClustering.v2","StackExchangeClusteringP2P","StackExchangeClusteringP2P.v2","StackOverflowDupQuestions","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"]},"zeroShotPct":96,"activeParamsB":0.028,"totalParamsB":0.048,"embeddingDim":384,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.805687,"SprintDuplicateQuestions":0.949257,"STS15":0.838624,"ArXivHierarchicalClusteringP2P":0.571,"StackExchangeClustering.v2":0.582824,"ArXivHierarchicalClusteringS2S":0.58042,"ArguAna":0.54398,"AILAStatutes":0.22772,"ToxicConversationsClassification":0.593701,"BiorxivClusteringP2P.v2":0.408814,"STS14":0.729385,"STSBenchmark":0.77103,"MIRACLRetrievalHardNegatives":0.17728611111111112,"SICK-R":0.688621,"SCIDOCS":0.24059,"STS12":0.674098,"TwitterURLCorpus":0.827706,"TRECCOVID":0.64666,"StackOverflowQA":0.90043,"MedrxivClusteringP2P.v2":0.364628,"LEMBPasskeyRetrieval":0.7975},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2"],"experiments":null},{"rank":240,"model":{"name":"Tarka-AIR/Tarka-Embedding-150M-V1","url":"https://huggingface.co/Tarka-AIR/Tarka-Embedding-150M-V1","zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.156,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2025-11-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","French","German","Japanese","Korean","Spanish","Standard Arabic"],"citation":"@misc{tarka_ai_research_2025,\n\tauthor = { Tarka AI Research },\n\ttitle = { Tarka-Embedding-150M-V1 (Revision c5f4f43) },\n\tyear = 2025,\n\turl = { https://huggingface.co/Tarka-AIR/Tarka-Embedding-150M-V1 },\n\tdoi = { 10.57967/hf/6875 },\n\tpublisher = { Hugging Face }\n}","memoryUsageMb":576.0,"license":"gemma","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["embeddinggemma"],"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.156,"embeddingDim":768,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.838087,"SprintDuplicateQuestions":0.891608,"STS15":0.871066,"ArXivHierarchicalClusteringP2P":0.633971,"StackExchangeClustering.v2":0.64353,"ArXivHierarchicalClusteringS2S":0.595157,"ArguAna":0.58237,"ToxicConversationsClassification":0.811133,"BiorxivClusteringP2P.v2":0.507344,"STS14":0.820843,"STSBenchmark":0.863853,"SICK-R":0.807374,"SCIDOCS":0.17339,"STS12":0.766568,"TwitterURLCorpus":0.857651,"TRECCOVID":0.81392,"MedrxivClusteringP2P.v2":0.438539},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":241,"model":{"name":"mongodb/voyage-large-2","url":"https://blog.voyageai.com/2023/10/29/voyage-embeddings/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":16000.0,"releaseDate":"2023-10-29","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":16000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.41143549999999995,"STS13":0.831122,"SprintDuplicateQuestions":0.932865,"STS15":0.852954,"NordicLangClassification":0.546,"ArXivHierarchicalClusteringP2P":0.583721,"MassiveIntentClassification":0.36835016666666665,"StackExchangeClustering.v2":0.584565,"ArXivHierarchicalClusteringS2S":0.581643,"ToxicConversationsClassification":0.647559,"BiorxivClusteringP2P.v2":0.412579,"NorwegianCourtsBitextMining":0.876253,"BornholmBitextMining":0.214653,"STS14":0.772145,"STSBenchmark":0.847834,"DalajClassification":0.500676,"SICK-R":0.797786,"TwitterHjerneRetrieval":0.59473,"STS12":0.729377,"TwitterURLCorpus":0.848074,"MedrxivClusteringP2P.v2":0.358555,"ScalaClassification":0.50131825},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":242,"model":{"name":"geevec-ai/geevec-embeddings-1.0-lite","url":"https://huggingface.co/geevec-ai/geevec-embeddings-1.0-lite","zeroShotPct":-1,"activeParamsB":0.349,"totalParamsB":0.366,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2026-04-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.349,"totalParamsB":0.366,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Retrieval":0.7090693295228847},"scoresByTask":{"MLQARetrieval":0.7932366326530612,"StatcanDialogueDatasetRetrieval":0.43617,"WikipediaRetrievalMultilingual":0.912228125,"ArguAna":0.82709,"AILAStatutes":0.74618,"TempReasonL1":0.01694,"SpartQA":0.85267,"HagridRetrieval":0.98781,"MIRACLRetrievalHardNegatives":0.6201983333333333,"SCIDOCS":0.23465,"BelebeleRetrieval":0.8261048404255319,"TwitterHjerneRetrieval":0.77574,"WinoGrande":0.86081,"LegalBenchCorporateLobbying":0.95178,"TRECCOVID":0.80817,"StackOverflowQA":0.92365,"CovidRetrieval":0.79982,"LEMBPasskeyRetrieval":0.39},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":243,"model":{"name":"McGill-NLP/AfriE5-Large-instruct","url":"https://huggingface.co/McGill-NLP/AfriE5-Large-instruct","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2024-02-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":null,"memoryUsageMb":1068.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SiswatiNewsClassification":0.475,"SwahiliNewsClassification":0.579541,"NollySentiBitextMining":0.81423975,"IsiZuluNewsClassification":0.362101,"AfriSentiClassification":0.4893725,"TswanaNewsClassification":0.481314},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":244,"model":{"name":"perplexity-ai/pplx-embed-v1-0.6b","url":"https://huggingface.co/perplexity-ai/pplx-embed-v1-0.6b","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-02-11","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{eslami2026diffusionpretraineddensecontextualembeddings,\n title={Diffusion-Pretrained Dense and Contextual Embeddings},\n author={Sedigheh Eslami and Maksim Gaiduk and Markus Krimmel and Louis Milliken and Bo Wang and Denis Bykov},\n year={2026},\n eprint={2602.11151},\n archivePrefix={arXiv},\n primaryClass={cs.LG},\n url={https://arxiv.org/abs/2602.11151},\n}","memoryUsageMb":2274.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":["transformers-v4"],"trainingDatasets":["FEVER","FiQA2018","HotpotQA","MIRACLRetrieval","MSMARCO","NQ"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Retrieval":0.6541248246801676},"scoresByTask":{"MLQARetrieval":0.7898453061224489,"StatcanDialogueDatasetRetrieval":0.41137,"WikipediaRetrievalMultilingual":0.909783125,"ArguAna":0.65935,"AILAStatutes":0.59838,"TempReasonL1":0.01432,"SpartQA":0.09172,"HagridRetrieval":0.98769,"MIRACLRetrievalHardNegatives":0.6856183333333333,"SCIDOCS":0.22829,"BelebeleRetrieval":0.728550079787234,"TwitterHjerneRetrieval":0.70042,"WinoGrande":0.71851,"LegalBenchCorporateLobbying":0.94363,"TRECCOVID":0.85901,"StackOverflowQA":0.90652,"CovidRetrieval":0.77374,"LEMBPasskeyRetrieval":0.7675},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":245,"model":{"name":"KiteFishAI/Nano-Em1-0.6B-v2","url":"https://huggingface.co/KiteFishAI/Nano-Em1-0.6B-v2","zeroShotPct":92,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960.0,"releaseDate":"2026-07-20","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1137.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringS2S","CQADupstackRetrieval","DBPedia","EmotionClassification","FEVER","FiQA2018","HotpotQA","ImdbClassification","MSMARCO","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringS2S","NFCorpus","NQ","QuoraRetrieval","RedditClustering","RedditClusteringP2P","SciFact","SprintDuplicateQuestions","StackExchangeClustering","StackExchangeClusteringP2P","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering"]},"zeroShotPct":92,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.845928,"SprintDuplicateQuestions":0.942545,"STS15":0.868844,"ArXivHierarchicalClusteringP2P":0.630408,"StackExchangeClustering.v2":0.733945,"ArXivHierarchicalClusteringS2S":0.609388,"ArguAna":0.56547,"ToxicConversationsClassification":0.805225,"BiorxivClusteringP2P.v2":0.449109,"STS14":0.812592,"STSBenchmark":0.84488,"SICK-R":0.785438,"SCIDOCS":0.19335,"STS12":0.776489,"TwitterURLCorpus":0.859754,"TRECCOVID":0.5142,"MedrxivClusteringP2P.v2":0.396586},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","SprintDuplicateQuestions","StackExchangeClustering.v2","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":246,"model":{"name":"prdev/mini-gte","url":"https://huggingface.co/prdev/mini-gte","zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-01-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":253.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"distilbert/distilbert-base-uncased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVERHardNegatives","HotPotQA","HotPotQAHardNegatives","MSMARCO","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval"]},"zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.835213,"SprintDuplicateQuestions":0.954849,"STS15":0.868569,"ArXivHierarchicalClusteringP2P":0.585069,"StackExchangeClustering.v2":0.608474,"ArXivHierarchicalClusteringS2S":0.566652,"ArguAna":0.56614,"ToxicConversationsClassification":0.782129,"BiorxivClusteringP2P.v2":0.437065,"STS14":0.806162,"STSBenchmark":0.862486,"SICK-R":0.79551,"SCIDOCS":0.21317,"STS12":0.743335,"TwitterURLCorpus":0.854324,"TRECCOVID":0.74025,"MedrxivClusteringP2P.v2":0.380406},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":247,"model":{"name":"ManiacLabs/miniac-embed","url":"https://huggingface.co/ManiacLabs/miniac-embed","zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2026-02-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":127.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-small-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["LoTTE","MSMARCO","PubMedQA","amazon-qa","cc_news","english-words-definitions","fineweb","trivia_qa"]},"zeroShotPct":100,"activeParamsB":0.021,"totalParamsB":0.033,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8646353345398777,"SprintDuplicateQuestions":0.967121872281016,"STS15":0.8838151748352273,"ArXivHierarchicalClusteringP2P":0.5925977147544386,"StackExchangeClustering.v2":0.5727667012431218,"ArXivHierarchicalClusteringS2S":0.5221771932333041,"ArguAna":0.59995,"ToxicConversationsClassification":0.660888671875,"BiorxivClusteringP2P.v2":0.42379305360156805,"STS14":0.822308326515779,"STSBenchmark":0.8758965071293597,"SICK-R":0.8023323049562938,"SCIDOCS":0.16866,"STS12":0.7767205400194226,"TwitterURLCorpus":0.8512793629594004,"TRECCOVID":0.50744,"MedrxivClusteringP2P.v2":0.3750034085505554},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":248,"model":{"name":"RiverRider/motherlode-code-small-en-v0.1","url":"https://huggingface.co/RiverRider/motherlode-code-small-en-v0.1","zeroShotPct":97,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2026-09-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","sql-Code (Code)"],"citation":null,"memoryUsageMb":127.0,"license":"https://huggingface.co/RiverRider/motherlode-code-small-en-v0.1/blob/main/LICENSE","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-small-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","AppsRetrieval","CMedQAv2-reranking","COIRCodeSearchNetRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","DuRetrieval","FEVER","FEVER-NL","HotpotQA","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MLQARetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","MultiLongDocRetrieval","NQ","NQ-NL","NQHardNegatives","StackOverflowQA","SyntheticText2SQL","T2Retrieval","mMARCO-NL"]},"zeroShotPct":97,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.844662,"SprintDuplicateQuestions":0.957401,"STS15":0.879465,"STS17":0.39474072727272724,"ArXivHierarchicalClusteringP2P":0.592023,"MassiveIntentClassification":0.28793457843137255,"StackExchangeClustering.v2":0.558695,"AmazonCounterfactualClassification":0.64083575,"ArXivHierarchicalClusteringS2S":0.568276,"ArguAna":0.6135,"AILAStatutes":0.26093,"ToxicConversationsClassification":0.653271,"BiorxivClusteringP2P.v2":0.409293,"STS14":0.819489,"STSBenchmark":0.864907,"SICK-R":0.78977,"SCIDOCS":0.20541,"STS22.v2":0.5162048888888889,"STS12":0.763906,"TwitterURLCorpus":0.853557,"TRECCOVID":0.64475,"StackOverflowQA":0.84068,"MedrxivClusteringP2P.v2":0.358033},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":249,"model":{"name":"LCO-Embedding/LCO-Embedding-Omni-7B","url":"https://huggingface.co/LCO-Embedding/LCO-Embedding-Omni-7B","zeroShotPct":100,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2025-10-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["audio","image","text","video"],"languages":["English"],"citation":"\n@misc{xiao2025scalinglanguagecentricomnimodalrepresentation,\n title={Scaling Language-Centric Omnimodal Representation Learning},\n author={Chenghao Xiao and Hou Pong Chan and Hao Zhang and Weiwen Xu and Mahani Aljunied and Yu Rong},\n year={2025},\n eprint={2510.11693},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2510.11693},\n}","memoryUsageMb":17043.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.878014,"SprintDuplicateQuestions":0.908372,"STS15":0.880252,"STS17":0.8586923636363636,"ArXivHierarchicalClusteringP2P":0.580494,"MassiveIntentClassification":0.6152183627450981,"StackExchangeClustering.v2":0.571035,"AmazonCounterfactualClassification":0.788545125,"ArXivHierarchicalClusteringS2S":0.554589,"ArguAna":0.3963,"ToxicConversationsClassification":0.679004,"BiorxivClusteringP2P.v2":0.406935,"STS14":0.836819,"STSBenchmark":0.876702,"SICK-R":0.828777,"SCIDOCS":0.2002,"STS22.v2":0.680037611111111,"STS12":0.795852,"TwitterURLCorpus":0.866892,"TRECCOVID":0.6658,"MedrxivClusteringP2P.v2":0.36078},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":250,"model":{"name":"LCO-Embedding/LCO-Embedding-Omni-3B","url":"https://huggingface.co/LCO-Embedding/LCO-Embedding-Omni-3B","zeroShotPct":100,"activeParamsB":4.392,"totalParamsB":4.703,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2025-10-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["audio","image","text","video"],"languages":["English"],"citation":"\n@misc{xiao2025scalinglanguagecentricomnimodalrepresentation,\n title={Scaling Language-Centric Omnimodal Representation Learning},\n author={Chenghao Xiao and Hou Pong Chan and Hao Zhang and Weiwen Xu and Mahani Aljunied and Yu Rong},\n year={2025},\n eprint={2510.11693},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2510.11693},\n}","memoryUsageMb":8978.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":4.392,"totalParamsB":4.703,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.861343,"SprintDuplicateQuestions":0.911695,"STS15":0.881208,"STS17":0.8407243636363636,"ArXivHierarchicalClusteringP2P":0.58018,"MassiveIntentClassification":0.5556954117647058,"StackExchangeClustering.v2":0.574293,"AmazonCounterfactualClassification":0.784137375,"ArXivHierarchicalClusteringS2S":0.551633,"ArguAna":0.41853,"ToxicConversationsClassification":0.694678,"BiorxivClusteringP2P.v2":0.395239,"STS14":0.821596,"STSBenchmark":0.878322,"SICK-R":0.828194,"SCIDOCS":0.18307,"STS22.v2":0.6591372222222223,"STS12":0.789016,"TwitterURLCorpus":0.867746,"TRECCOVID":0.66253,"MedrxivClusteringP2P.v2":0.342231},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":251,"model":{"name":"BAAI/bge-large-en","url":"https://huggingface.co/BAAI/bge-large-en","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-08-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":"BAAI/bge-large-en-v1.5","extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.02367001766793554},"scoresByTask":{"STS13":0.8498234585939103,"SprintDuplicateQuestions":0.9682857341435529,"STS15":0.8488671197763652,"ArguAna":0.62457,"AILAStatutes":0.22147,"ToxicConversationsClassification":0.7008300000000002,"STS14":0.807997969966883,"STSBenchmark":0.850995685206174,"MIRACLRetrievalHardNegatives":0.20365333333333335,"SICK-R":0.8104583513112122,"SCIDOCS":0.22215,"STS12":0.7975387012744471,"TwitterURLCorpus":0.8356538942001427,"TRECCOVID":0.75375,"Robust04InstructionRetrieval":-0.07828783530101747,"News21InstructionRetrieval":0.006211249446095374,"Core17InstructionRetrieval":0.0010665328511154956},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":252,"model":{"name":"sentence-transformers/multi-qa-MiniLM-L6-cos-v1","url":"https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2021-08-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"http://arxiv.org/abs/1908.10084\",\n}\n","memoryUsageMb":87.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"nreimers/MiniLM-L6-H384-uncased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.764063,"SprintDuplicateQuestions":0.938448,"STS15":0.801834,"STS17":0.3453303636363636,"MassiveIntentClassification":0.27812264705882356,"AmazonCounterfactualClassification":0.606771875,"AILAStatutes":0.21796,"STS14":0.693252,"STSBenchmark":0.759837,"MIRACLRetrievalHardNegatives":0.11101333333333334,"SICK-R":0.700404,"SCIDOCS":0.1578,"STS12":0.643841,"TRECCOVID":0.55796},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":253,"model":{"name":"sentence-transformers/sentence-t5-xl","url":"https://huggingface.co/sentence-transformers/sentence-t5-xl","zeroShotPct":100,"activeParamsB":1.209,"totalParamsB":1.242,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-03-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021sentencet5scalablesentenceencoders,\n title={Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models},\n author={Jianmo Ni and Gustavo Hernández Ábrego and Noah Constant and Ji Ma and Keith B. Hall and Daniel Cer and Yinfei Yang},\n year={2021},\n eprint={2108.08877},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2108.08877},\n}\n","memoryUsageMb":2367.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","SNLI"]},"zeroShotPct":100,"activeParamsB":1.209,"totalParamsB":1.242,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8880436421944282,"SprintDuplicateQuestions":0.9144235917485691,"STS15":0.8889098990959153,"STS17":0.5095498022342105,"ArguAna":0.39397,"ToxicConversationsClassification":0.7094940000000001,"Tatoeba":0.20981670318704512,"STS14":0.843295761627281,"STSBenchmark":0.8392987130232213,"SICK-R":0.7997772392974231,"SCIDOCS":0.15966,"STS12":0.7901729005661066,"TwitterURLCorpus":0.8585801141070208,"TRECCOVID":0.54772},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":254,"model":{"name":"BAAI/bge-base-en","url":"https://huggingface.co/BAAI/bge-base-en","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-08-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":390.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":"BAAI/bge-base-en-v1.5","extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.031072609508908614},"scoresByTask":{"STS13":0.8385931509330394,"SprintDuplicateQuestions":0.962635334753325,"STS15":0.8733044482064973,"ArguAna":0.61487,"AILAStatutes":0.1811,"ToxicConversationsClassification":0.715942,"STS14":0.815120009104048,"STSBenchmark":0.8595475815226863,"MIRACLRetrievalHardNegatives":0.18692777777777778,"SICK-R":0.8001710844462341,"SCIDOCS":0.21298000000000003,"STS12":0.7793462937801244,"TwitterURLCorpus":0.8520370297495491,"TRECCOVID":0.76447,"Robust04InstructionRetrieval":-0.06536758524859693,"News21InstructionRetrieval":-0.0013215664258429544,"Core17InstructionRetrieval":-0.026528676852285965},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":255,"model":{"name":"sentence-transformers/sentence-t5-xxl","url":"https://huggingface.co/sentence-transformers/sentence-t5-xxl","zeroShotPct":100,"activeParamsB":4.833,"totalParamsB":4.866,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-03-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021sentencet5scalablesentenceencoders,\n title={Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models},\n author={Jianmo Ni and Gustavo Hernández Ábrego and Noah Constant and Ji Ma and Keith B. Hall and Daniel Cer and Yinfei Yang},\n year={2021},\n eprint={2108.08877},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2108.08877},\n}\n","memoryUsageMb":9279.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","SNLI"]},"zeroShotPct":100,"activeParamsB":4.833,"totalParamsB":4.866,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8893834486158684,"SprintDuplicateQuestions":0.8891333217815992,"STS15":0.8931982869751905,"ArguAna":0.39847,"ToxicConversationsClassification":0.13790144857405834,"STS14":0.8485684801116044,"STSBenchmark":0.8401139141474803,"SICK-R":0.8046877899403398,"SCIDOCS":0.17173,"STS12":0.7884633095838921,"TwitterURLCorpus":0.8601198098811131,"TRECCOVID":0.59481},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":256,"model":{"name":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2","url":"https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2","zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512.0,"releaseDate":"2025-06-25","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":"@misc{hu2025kalmembedding,\n title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},\n author={Xinshuo Hu and Zifei Shan and Xinping Zhao and Zetian Sun and Zhenyu Liu and Dongfang Li and Shaolin Ye and Xinyuan Wei and Qian Chen and Baotian Hu and Haofen Wang and Jun Yu and Min Zhang},\n year={2025},\n eprint={2501.01028},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2501.01028},\n}","memoryUsageMb":942.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ATEC","AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","ArxivClusteringS2S","BQ","Banking77Classification","BiorxivClusteringP2P.v2","BiorxivClusteringS2S.v2","CQADupstack","CodeFeedbackMT","CodeFeedbackST","ContractNLIConfidentialityOfAgreementLegalBenchClassification","ContractNLIExplicitIdentificationLegalBenchClassification","ContractNLIInclusionOfVerballyConveyedInformationLegalBenchClassification","ContractNLILimitedUseLegalBenchClassification","ContractNLINoLicensingLegalBenchClassification","ContractNLINoticeOnCompelledDisclosureLegalBenchClassification","ContractNLIPermissibleAcquirementOfSimilarInformationLegalBenchClassification","ContractNLIPermissibleCopyLegalBenchClassification","ContractNLIPermissibleDevelopmentOfSimilarInformationLegalBenchClassification","ContractNLIPermissiblePostAgreementPossessionLegalBenchClassification","ContractNLIReturnOfConfidentialInformationLegalBenchClassification","ContractNLISharingWithEmployeesLegalBenchClassification","ContractNLISharingWithThirdPartiesLegalBenchClassification","ContractNLISurvivalOfObligationsLegalBenchClassification","DBPedia","ESCIReranking","EmotionClassification","FEVER","FEVER-NL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MSMARCOv2","MTOPDomainClassification","MTOPIntentClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P.v2","MedrxivClusteringS2S.v2","MrTidyRetrieval","MultiLongDocRetrieval","MultilingualSentiment","NFCorpus","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","PawsXPairClassification","QuoraRetrieval","Reddit-Clustering","Reddit-Clustering-P2P","SciFact","Stackexchange-Clustering","Stackexchange-Clustering-P2P","TRECCOVID","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroups-Clustering","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":0.358,"totalParamsB":0.494,"embeddingDim":896,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8595700719809299,"SprintDuplicateQuestions":0.9608119314565551,"STS15":0.8643707354974058,"ArguAna":0.57419,"ToxicConversationsClassification":0.893408203125,"STS14":0.8350251215846104,"STSBenchmark":0.8507318077272461,"SICK-R":0.7985114978228225,"SCIDOCS":0.20811,"STSB":0.809193543347324,"STS12":0.8226959820528188,"T2Reranking":0.6669331859736316,"TwitterURLCorpus":0.8595034181607442,"TRECCOVID":0.79269,"CovidRetrieval":0.83304},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MassiveIntentClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":257,"model":{"name":"yibinlei/LENS-d8000","url":"https://huggingface.co/yibinlei/LENS-d8000","zeroShotPct":93,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":8000,"maxTokens":32768.0,"releaseDate":"2025-01-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":"@article{lei2025lens,\n title={Enhancing Lexicon-Based Text Embeddings with Large Language Models},\n author={Lei, Yibin and Shen, Tao and Cao, Yu and Yates, Andrew},\n journal={arXiv preprint arXiv:2501.09749},\n year={2025}\n}","memoryUsageMb":27125.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","ImdbClassification","MSMARCO","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","NQ","NQ-NL","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":93,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":8000,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8734287142701457,"SprintDuplicateQuestions":0.969963756118777,"STS15":0.8974723322749233,"ArguAna":0.76019,"ToxicConversationsClassification":0.923681640625,"STS14":0.8438843815801556,"STSBenchmark":0.8846646307403642,"SICK-R":0.8330200195593044,"SCIDOCS":0.28538,"STS12":0.8098590815911939,"TwitterURLCorpus":0.8737453072241572,"TRECCOVID":0.7717500000000002},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":258,"model":{"name":"yibinlei/LENS-d4000","url":"https://huggingface.co/yibinlei/LENS-d4000","zeroShotPct":93,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4000,"maxTokens":32768.0,"releaseDate":"2025-01-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":"@article{lei2025lens,\n title={Enhancing Lexicon-Based Text Embeddings with Large Language Models},\n author={Lei, Yibin and Shen, Tao and Cao, Yu and Yates, Andrew},\n journal={arXiv preprint arXiv:2501.09749},\n year={2025}\n}","memoryUsageMb":27125.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","ImdbClassification","MSMARCO","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","NQ","NQ-NL","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":93,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4000,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8654428612066569,"SprintDuplicateQuestions":0.969830495771001,"STS15":0.8969254612113068,"ArguAna":0.77317,"ToxicConversationsClassification":0.9228515625,"STS14":0.8431789230181544,"STSBenchmark":0.8821684368202543,"SICK-R":0.8381274073153919,"SCIDOCS":0.27512,"STS12":0.7906871408688199,"TwitterURLCorpus":0.8750024399984746,"TRECCOVID":0.69733},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":259,"model":{"name":"BAAI/bge-en-icl","url":"https://huggingface.co/BAAI/bge-en-icl","zeroShotPct":92,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-07-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n @misc{li2024makingtextembeddersfewshot,\n title={Making Text Embedders Few-Shot Learners},\n author={Chaofan Li and MingHao Qin and Shitao Xiao and Jianlyu Chen and Kun Luo and Yingxia Shao and Defu Lian and Zheng Liu},\n year={2024},\n eprint={2409.15700},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2409.15700},\n}\n","memoryUsageMb":27125.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/FlagOpen/FlagEmbedding","publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":"intfloat/e5-mistral-7b-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":92,"activeParamsB":6.979,"totalParamsB":7.11,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8658640009300751,"SprintDuplicateQuestions":0.9726819027722253,"STS15":0.8777203714228863,"ArguAna":0.8307967801208441,"ToxicConversationsClassification":0.93173828125,"STS14":0.828292579957437,"STSBenchmark":0.8842076443255168,"SICK-R":0.8386733787791423,"SCIDOCS":0.2525865384510787,"STS12":0.7814269330480724,"TwitterURLCorpus":0.8786355195357181,"TRECCOVID":0.7907987651251461},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":260,"model":{"name":"Alibaba-NLP/gme-Qwen2-VL-7B-Instruct","url":"https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct","zeroShotPct":100,"activeParamsB":7.201,"totalParamsB":7.746,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2024-12-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["image","text"],"languages":["English","Mandarin Chinese"],"citation":"@misc{zhang2024gme,\n title={GME: Improving Universal Multimodal Retrieval by Multimodal LLMs},\n author={Zhang, Xin and Zhang, Yanzhao and Xie, Wen and Li, Mingxin and Dai, Ziqi and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Li, Wenjie and Zhang, Min},\n year={2024},\n eprint={2412.16855},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={http://arxiv.org/abs/2412.16855}\n}","memoryUsageMb":31629.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["gme"],"trainingDatasets":["FEVER","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MSMARCO","NQ","NQ-PL","NQHardNegatives","NanoNQRetrieval"]},"zeroShotPct":100,"activeParamsB":7.201,"totalParamsB":7.746,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8098090253728394,"SprintDuplicateQuestions":0.9786562522779887,"STS15":0.8447549220803403,"ArguAna":0.6459600000000001,"ToxicConversationsClassification":0.86564,"STS14":0.7636798509005328,"STSBenchmark":0.8310901632378086,"SICK-R":0.7534808277034776,"SCIDOCS":0.27378,"STS12":0.7724549887905519,"T2Reranking":0.6654177017978035,"TwitterURLCorpus":0.845858781355044,"TRECCOVID":0.52604,"CovidRetrieval":0.79598},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":261,"model":{"name":"Alibaba-NLP/gme-Qwen2-VL-2B-Instruct","url":"https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct","zeroShotPct":100,"activeParamsB":1.976,"totalParamsB":2.209,"embeddingDim":1536,"maxTokens":32768.0,"releaseDate":"2024-12-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["image","text"],"languages":["English","Mandarin Chinese"],"citation":"@misc{zhang2024gme,\n title={GME: Improving Universal Multimodal Retrieval by Multimodal LLMs},\n author={Zhang, Xin and Zhang, Yanzhao and Xie, Wen and Li, Mingxin and Dai, Ziqi and Long, Dingkun and Xie, Pengjun and Zhang, Meishan and Li, Wenjie and Zhang, Min},\n year={2024},\n eprint={2412.16855},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={http://arxiv.org/abs/2412.16855}\n}","memoryUsageMb":8427.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["gme"],"trainingDatasets":["FEVER","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MSMARCO","NQ","NQ-PL","NQHardNegatives","NanoNQRetrieval"]},"zeroShotPct":100,"activeParamsB":1.976,"totalParamsB":2.209,"embeddingDim":1536,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.844847436140129,"SprintDuplicateQuestions":0.9773324334051959,"STS15":0.8762293916855751,"ArguAna":0.61524,"ToxicConversationsClassification":0.8875759999999999,"STS14":0.7791329577609623,"STSBenchmark":0.8339851992175911,"SICK-R":0.7398553311584508,"SCIDOCS":0.23172,"STS12":0.7205290668592297,"T2Reranking":0.6673038448968596,"TwitterURLCorpus":0.8405164646221582,"TRECCOVID":0.59243,"CovidRetrieval":0.7834299999999998},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":262,"model":{"name":"sentence-transformers/static-retrieval-mrl-en-v1","url":"https://huggingface.co/sentence-transformers/static-retrieval-mrl-en-v1","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.031,"embeddingDim":1024,"maxTokens":null,"releaseDate":"2024-10-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":119.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/sentence-transformers/static-retrieval-mrl-en-v1/blob/main/train.py","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MIRACLRetrieval","MSMARCO","MrTidyRetrieval","MultiLongDocRetrieval"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.031,"embeddingDim":1024,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.725735,"SprintDuplicateQuestions":0.916473,"STS15":0.80066,"ArXivHierarchicalClusteringP2P":0.46593,"StackExchangeClustering.v2":0.303889,"ArXivHierarchicalClusteringS2S":0.385963,"ArguAna":0.4441,"AILAStatutes":0.22184,"ToxicConversationsClassification":0.680859,"BiorxivClusteringP2P.v2":0.334734,"STS14":0.696221,"STSBenchmark":0.740221,"MIRACLRetrievalHardNegatives":0.1078188888888889,"SICK-R":0.64738,"SCIDOCS":0.13223,"STS12":0.604289,"TwitterURLCorpus":0.817494,"TRECCOVID":0.44603,"StackOverflowQA":0.55907,"MedrxivClusteringP2P.v2":0.305872},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":263,"model":{"name":"sentence-transformers/gtr-t5-large","url":"https://huggingface.co/sentence-transformers/gtr-t5-large","zeroShotPct":100,"activeParamsB":0.303,"totalParamsB":0.336,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021largedualencodersgeneralizable,\n title={Large Dual Encoders Are Generalizable Retrievers},\n author={Jianmo Ni and Chen Qu and Jing Lu and Zhuyun Dai and Gustavo Hernández Ábrego and Ji Ma and Vincent Y. Zhao and Yi Luan and Keith B. Hall and Ming-Wei Chang and Yinfei Yang},\n year={2021},\n eprint={2112.07899},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2112.07899},\n}\n","memoryUsageMb":639.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.303,"totalParamsB":0.336,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8219443204826279,"SprintDuplicateQuestions":0.9505365589236207,"STS15":0.8631247335070001,"STS17":0.4231153505668454,"ArguAna":0.52086,"ToxicConversationsClassification":0.686532,"STS14":0.7716269014670295,"STSBenchmark":0.7760134889468366,"SICK-R":0.7339148682744103,"SCIDOCS":0.15506,"STS12":0.7033026062698798,"TwitterURLCorpus":0.8489356590044765,"TRECCOVID":0.56681},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":264,"model":{"name":"zeta-alpha-ai/Zeta-Alpha-E5-Mistral","url":"https://huggingface.co/zeta-alpha-ai/Zeta-Alpha-E5-Mistral","zeroShotPct":95,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-08-30","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13563.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/e5-mistral-7b-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","Banking77Classification","EmotionClassification","FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","STS12","STS22","STSBenchmark","ToxicConversationsClassification","TweetSentimentExtractionClassification","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":95,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8712110799581851,"SprintDuplicateQuestions":0.9543878917155146,"STS15":0.9009569633194636,"ArguAna":0.6562300000000001,"ToxicConversationsClassification":0.7587890625,"STS14":0.8355263671417923,"STSBenchmark":0.8827561759951514,"SICK-R":0.8188046945336663,"SCIDOCS":0.2086,"STS12":0.7863991285161868,"TwitterURLCorpus":0.8791825594329685,"TRECCOVID":0.8367999999999999},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","STS12","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":265,"model":{"name":"Haon-Chen/e5-omni-3B","url":"https://huggingface.co/Haon-Chen/e5-omni-3B","zeroShotPct":100,"activeParamsB":4.392,"totalParamsB":4.703,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2026-01-06","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["English"],"citation":"\n@article{chen2026e5omni,\n title={e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings},\n author={Chen, Haonan and Gao, Sicheng and Radu, Timofte and Tetsuya, Sakai and Dou, Zhicheng},\n journal={arXiv preprint arXiv:2601.03666},\n year={2026}\n}\n","memoryUsageMb":8971.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen2.5-Omni-3B","supersededBy":null,"extraRequirementsGroups":["multimodal-sbert"],"trainingDatasets":["AudioCapsT2ARetrieval","MSRVTTT2V","MSRVTTV2T"]},"zeroShotPct":100,"activeParamsB":4.392,"totalParamsB":4.703,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.781292,"SprintDuplicateQuestions":0.85755,"STS15":0.776699,"STS17":0.7829399090909092,"ArXivHierarchicalClusteringP2P":0.586593,"MassiveIntentClassification":0.5433203529411764,"StackExchangeClustering.v2":0.494899,"AmazonCounterfactualClassification":0.600388125,"ArXivHierarchicalClusteringS2S":0.596863,"ArguAna":0.50514,"ToxicConversationsClassification":0.56543,"BiorxivClusteringP2P.v2":0.408004,"STS14":0.70343,"STSBenchmark":0.772862,"SICK-R":0.779943,"SCIDOCS":0.24317,"STS22.v2":0.6814332777777777,"STS12":0.705632,"TwitterURLCorpus":0.798057,"TRECCOVID":0.79441,"MedrxivClusteringP2P.v2":0.354644},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":266,"model":{"name":"Alibaba-NLP/gte-base-en-v1.5","url":"https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5","zeroShotPct":-1,"activeParamsB":0.113,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-06-20","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{zhang2024mgte,\n title={mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval},\n author={Xin Zhang and Yanzhao Zhang and Dingkun Long and Wen Xie and Ziqi Dai and Jialong Tang and Huan Lin and Baosong Yang and Pengjun Xie and Fei Huang and Meishan Zhang and Wenjie Li and Min Zhang},\n year={2024},\n eprint={2407.19669},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2407.19669},\n}\n@misc{li2023towards,\n title={Towards General Text Embeddings with Multi-stage Contrastive Learning},\n author={Zehan Li and Xin Zhang and Yanzhao Zhang and Dingkun Long and Pengjun Xie and Meishan Zhang},\n year={2023},\n eprint={2308.03281},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2308.03281},\n}","memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.113,"totalParamsB":0.137,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8470630905216271,"SprintDuplicateQuestions":0.9500212367664589,"STS15":0.8716293477217867,"ArguAna":0.63486,"AILAStatutes":0.29135,"ToxicConversationsClassification":0.83978,"STS14":0.8010314039230199,"STSBenchmark":0.8603947178806887,"MIRACLRetrievalHardNegatives":0.13397222222222224,"SICK-R":0.7936960687383745,"SCIDOCS":0.21918000000000004,"STS12":0.7438364712099211,"TwitterURLCorpus":0.8551101933260743,"TRECCOVID":0.73135},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":267,"model":{"name":"jxm/cde-small-v2","url":"https://huggingface.co/jxm/cde-small-v1","zeroShotPct":93,"activeParamsB":null,"totalParamsB":0.306,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-01-13","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{morris2024contextualdocumentembeddings,\n title={Contextual Document Embeddings},\n author={John X. Morris and Alexander M. Rush},\n year={2024},\n eprint={2410.02525},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2410.02525},\n}","memoryUsageMb":1166.0,"license":"mit","publicTrainingCode":"https://github.com/jxmorris12/cde","publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":"jxm/cde-small-v2","extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","ImdbClassification","MSMARCO","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","NQ","NQ-NL","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":93,"activeParamsB":null,"totalParamsB":0.306,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.860453,"SprintDuplicateQuestions":0.972412,"STS15":0.8806540000000002,"ArguAna":0.74957,"ToxicConversationsClassification":0.8140139999999999,"STS14":0.8296810000000001,"STSBenchmark":0.877139,"SICK-R":0.7901310000000001,"SCIDOCS":0.22847,"STS12":0.803531,"TwitterURLCorpus":0.8639949999999998,"TRECCOVID":0.8055},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":267,"model":{"name":"McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised","zeroShotPct":98,"activeParamsB":6.516,"totalParamsB":6.647,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":6.516,"totalParamsB":6.647,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8684017260596792,"SprintDuplicateQuestions":0.9683157940825446,"STS15":0.8871661848841297,"ArguAna":0.56535,"ToxicConversationsClassification":0.7101119999999999,"STS14":0.8404244912638237,"STSBenchmark":0.887218677688666,"SICK-R":0.8300728009929533,"SCIDOCS":0.2105,"STS12":0.7885484854952163,"TwitterURLCorpus":0.8655850743866761,"TRECCOVID":0.79253},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":269,"model":{"name":"Haon-Chen/e5-omni-7B","url":"https://huggingface.co/Haon-Chen/e5-omni-7B","zeroShotPct":100,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2026-01-06","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["English"],"citation":"\n@article{chen2026e5omni,\n title={e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings},\n author={Chen, Haonan and Gao, Sicheng and Radu, Timofte and Tetsuya, Sakai and Dou, Zhicheng},\n journal={arXiv preprint arXiv:2601.03666},\n year={2026}\n}\n","memoryUsageMb":17036.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen2.5-Omni-7B","supersededBy":null,"extraRequirementsGroups":["multimodal-sbert"],"trainingDatasets":["AudioCapsT2ARetrieval","MSRVTTT2V","MSRVTTV2T"]},"zeroShotPct":100,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.795747,"SprintDuplicateQuestions":0.92346,"STS15":0.776018,"STS17":0.794998090909091,"ArXivHierarchicalClusteringP2P":0.577803,"MassiveIntentClassification":0.5448166764705882,"StackExchangeClustering.v2":0.50585,"AmazonCounterfactualClassification":0.6027785,"ArXivHierarchicalClusteringS2S":0.576711,"ArguAna":0.39721,"ToxicConversationsClassification":0.594727,"BiorxivClusteringP2P.v2":0.419391,"STS14":0.698088,"STSBenchmark":0.761849,"SICK-R":0.794731,"SCIDOCS":0.22765,"STS22.v2":0.07630216666666666,"STS12":0.731984,"TwitterURLCorpus":0.780083,"TRECCOVID":0.80033,"MedrxivClusteringP2P.v2":0.361663},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":270,"model":{"name":"mixedbread-ai/mxbai-embed-2d-large-v1","url":"https://huggingface.co/mixedbread-ai/mxbai-embed-2d-large-v1","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-03-04","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.9039810997063387,"SprintDuplicateQuestions":0.9607646831090695,"STS15":0.9001162604967037,"ArguAna":0.63629,"ToxicConversationsClassification":0.7152679999999999,"STS14":0.8544794976383963,"STSBenchmark":0.8919783009521629,"SICK-R":0.8204792579356291,"SCIDOCS":0.22782,"STS12":0.7876929696642694,"TwitterURLCorpus":0.8553503846009763,"TRECCOVID":0.68637},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":271,"model":{"name":"Tevatron/OmniEmbed-v0.1","url":"https://huggingface.co/Tevatron/OmniEmbed-v0.1","zeroShotPct":99,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2025-04-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text","image","audio","video"],"languages":["English"],"citation":"\n@misc{zhuang2025tevatron,\n archiveprefix = {arXiv},\n author = {Xueguang Ma and Luyu Gao and Shengyao Zhuang and Jiaqi Samantha Zhan and Jamie Callan and Jimmy Lin},\n eprint = {2505.02466},\n title = {Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality},\n url = {https://arxiv.org/abs/2505.02466},\n year = {2025},\n}\n","memoryUsageMb":17036.0,"license":"mit","publicTrainingCode":"https://github.com/texttron/tevatron/tree/qwenomni","publicTrainingData":"https://huggingface.co/Tevatron/OmniEmbed-v0.1#training-data","adaptedFrom":"Qwen/Qwen2.5-Omni-7B","supersededBy":null,"extraRequirementsGroups":["multimodal-sbert","peft"],"trainingDatasets":["AudioCapsT2ARetrieval","FEVER","MSMARCO","MSRVTTT2V","MSRVTTV2T","NQ","SCIDOCS","VidoreArxivQARetrieval","VidoreDocVQARetrieval","VidoreInfoVQARetrieval","VidoreTatdqaRetrieval"]},"zeroShotPct":99,"activeParamsB":8.387,"totalParamsB":8.932,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.74591,"SprintDuplicateQuestions":0.727289,"STS15":0.766405,"STS17":0.7121258181818182,"ArXivHierarchicalClusteringP2P":0.583027,"MassiveIntentClassification":0.568888205882353,"StackExchangeClustering.v2":0.548027,"AmazonCounterfactualClassification":0.64121025,"ArXivHierarchicalClusteringS2S":0.605773,"ArguAna":0.73318,"ToxicConversationsClassification":0.564795,"BiorxivClusteringP2P.v2":0.409231,"STS14":0.690513,"STSBenchmark":0.692817,"SICK-R":0.725971,"SCIDOCS":0.25287,"STS22.v2":0.14901244444444445,"STS12":0.607236,"TwitterURLCorpus":0.739619,"TRECCOVID":0.69372,"MedrxivClusteringP2P.v2":0.352851},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":272,"model":{"name":"McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised","zeroShotPct":98,"activeParamsB":7.022,"totalParamsB":7.547,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":28629.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":7.022,"totalParamsB":7.547,"embeddingDim":4096,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.848327309083665,"SprintDuplicateQuestions":0.9509301057928796,"STS15":0.8808995363382608,"ArguAna":0.62779,"ToxicConversationsClassification":0.705856,"STS14":0.829394255552954,"STSBenchmark":0.880472708354572,"SICK-R":0.839379272617096,"SCIDOCS":0.22961,"STS12":0.7926752176661364,"TwitterURLCorpus":0.8656353001037664,"TRECCOVID":0.80337},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":273,"model":{"name":"minishlab/potion-base-32M","url":"https://huggingface.co/minishlab/potion-base-32M","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.032,"embeddingDim":512,"maxTokens":null,"releaseDate":"2025-01-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":123.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/minishlab/tokenlearn-c4-en-bge-base-en-v1.5","adaptedFrom":"BAAI/bge-base-en-v1.5","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.032,"embeddingDim":512,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.775936,"SprintDuplicateQuestions":0.925546,"STS15":0.807592,"ArXivHierarchicalClusteringP2P":0.564517,"StackExchangeClustering.v2":0.515282,"ArXivHierarchicalClusteringS2S":0.510737,"ArguAna":0.42864,"ToxicConversationsClassification":0.704346,"BiorxivClusteringP2P.v2":0.341639,"STS14":0.729035,"STSBenchmark":0.768385,"SICK-R":0.656685,"SCIDOCS":0.13587,"STS12":0.62725,"TwitterURLCorpus":0.827974,"TRECCOVID":0.41931,"MedrxivClusteringP2P.v2":0.332577},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":274,"model":{"name":"Alibaba-NLP/gte-modernbert-base","url":"https://huggingface.co/Alibaba-NLP/gte-modernbert-base","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-01-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@inproceedings{zhang2024mgte,\n title={mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval},\n author={Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Wen and Dai, Ziqi and Tang, Jialong and Lin, Huan and Yang, Baosong and Xie, Pengjun and Huang, Fei and others},\n booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track},\n pages={1393--1412},\n year={2024}\n}\n\n@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":284.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","DuRetrieval","FEVER","FEVER-NL","HotpotQA","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MrTidyRetrieval","MultiLongDocRetrieval","NQ","NQ-NL","T2Retrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.866355,"SprintDuplicateQuestions":0.974055,"STS15":0.853865,"ArguAna":0.74555,"ToxicConversationsClassification":0.815381,"STS14":0.787583,"STSBenchmark":0.854068,"SICK-R":0.757607,"SCIDOCS":0.2044,"STS12":0.748213,"TwitterURLCorpus":0.833393,"TRECCOVID":0.75748,"StackOverflowQA":0.90876},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":275,"model":{"name":"Octen/Octen-Embedding-0.6B","url":"https://huggingface.co/Octen/Octen-Embedding-0.6B","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-01-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":1136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.86595,"MIRACLRetrievalHardNegatives":0.5983233333333333},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":276,"model":{"name":"llmrails/ember-v1","url":"https://huggingface.co/llmrails/ember-v1","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-10-10","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8662037823380984,"SprintDuplicateQuestions":0.9683057412333741,"STS15":0.8838581627185446,"ArguAna":0.64563,"ToxicConversationsClassification":0.714178,"STS14":0.8305697553913335,"STSBenchmark":0.8776870289783061,"SICK-R":0.817469727066432,"SCIDOCS":0.19580000000000003,"STS12":0.7851011398910949,"TwitterURLCorpus":0.859835303311168,"TRECCOVID":0.64138},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":277,"model":{"name":"minishlab/potion-retrieval-32M","url":"https://huggingface.co/minishlab/potion-retrieval-32M","zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.032,"embeddingDim":512,"maxTokens":null,"releaseDate":"2025-01-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":123.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":null,"adaptedFrom":"minishlab/potion-base-32M","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.0,"totalParamsB":0.032,"embeddingDim":512,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.73606,"SprintDuplicateQuestions":0.923928,"STS15":0.811203,"ArXivHierarchicalClusteringP2P":0.56268,"StackExchangeClustering.v2":0.492904,"ArXivHierarchicalClusteringS2S":0.526903,"ArguAna":0.44878,"ToxicConversationsClassification":0.676025,"BiorxivClusteringP2P.v2":0.363843,"STS14":0.704635,"STSBenchmark":0.740959,"SICK-R":0.66508,"SCIDOCS":0.13693,"STS12":0.613784,"TwitterURLCorpus":0.821258,"TRECCOVID":0.4469,"MedrxivClusteringP2P.v2":0.340447},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":278,"model":{"name":"McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised","zeroShotPct":98,"activeParamsB":1.229,"totalParamsB":1.295,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoFEVERRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":1.229,"totalParamsB":1.295,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.855228883863618,"SprintDuplicateQuestions":0.9624728474711715,"STS15":0.8876235312662311,"ArguAna":0.51663,"ToxicConversationsClassification":0.6992240000000001,"STS14":0.8248847836687274,"STSBenchmark":0.8715751321128135,"SICK-R":0.8225303886615637,"SCIDOCS":0.17957,"STS12":0.7827678362978093,"TwitterURLCorpus":0.86227146559573,"TRECCOVID":0.80411},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":279,"model":{"name":"jxm/cde-small-v1","url":"https://huggingface.co/jxm/cde-small-v1","zeroShotPct":93,"activeParamsB":null,"totalParamsB":0.281,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-09-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{morris2024contextualdocumentembeddings,\n title={Contextual Document Embeddings},\n author={John X. Morris and Alexander M. Rush},\n year={2024},\n eprint={2410.02525},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2410.02525},\n}","memoryUsageMb":1072.0,"license":"mit","publicTrainingCode":"https://github.com/jxmorris12/cde","publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":"nomic-ai/nomic-bert-2048","supersededBy":"jxm/cde-small-v2","extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","ImdbClassification","MSMARCO","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","NQ","NQ-NL","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":93,"activeParamsB":null,"totalParamsB":0.281,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8612368715292688,"SprintDuplicateQuestions":0.9530006120252773,"STS15":0.875038962579188,"ArguAna":0.71996,"ToxicConversationsClassification":0.727734375,"STS14":0.7888155361224833,"STSBenchmark":0.8554441587714372,"SICK-R":0.7744919890597407,"SCIDOCS":0.21780999999999998,"STS12":0.742212823495219,"TwitterURLCorpus":0.8588088882163336,"TRECCOVID":0.7938199999999999},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":280,"model":{"name":"amazon/Titan-text-embeddings-v2","url":"https://huggingface.co/amazon/Titan-text-embeddings-v2","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":null,"maxTokens":null,"releaseDate":"2024-04-30","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"https://aws.amazon.com/service-terms/","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.879128142106699,"SprintDuplicateQuestions":0.9291719494015509,"STS15":0.8787150169810871,"STS17":0.7400979227555564,"ArguAna":0.51312,"ToxicConversationsClassification":0.745162,"Tatoeba":0.3824701279346904,"STS14":0.8225544088807465,"STSBenchmark":0.819481311864648,"SICK-R":0.7649462277620303,"SCIDOCS":0.21979000000000004,"STS12":0.7499867664033701,"TwitterURLCorpus":0.8571776365526502,"TRECCOVID":0.80746},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":281,"model":{"name":"nomic-ai/modernbert-embed-base","url":"https://huggingface.co/nomic-ai/modernbert-embed-base","zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2024-12-29","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{nussbaum2024nomic,\n title={Nomic Embed: Training a Reproducible Long Context Text Embedder},\n author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},\n year={2024},\n eprint={2402.01613},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/nomic-ai/contrastors/blob/5f7b461e5a13b5636692d1c9f1141b27232fe966/src/contrastors/configs/train/contrastive_pretrain_modernbert.yaml","publicTrainingData":null,"adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":["modernbert"],"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MSMARCO","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":96,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8613305071688859,"SprintDuplicateQuestions":0.9203642221694546,"STS15":0.8825330888676138,"ArguAna":0.48962000000000006,"ToxicConversationsClassification":0.674560546875,"STS14":0.8126767916144169,"STSBenchmark":0.8696704639052885,"SICK-R":0.7992900705478994,"SCIDOCS":0.18587,"STS12":0.7761671419416626,"TwitterURLCorpus":0.8621246419992926,"TRECCOVID":0.84147},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification"],"experiments":null},{"rank":282,"model":{"name":"Kowshik24/bangla-sentence-transformer-ft-matryoshka-paraphrase-multilingual-mpnet-base-v2","url":"https://huggingface.co/Kowshik24/bangla-sentence-transformer-ft-matryoshka-paraphrase-multilingual-mpnet-base-v2","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":128.0,"releaseDate":"2025-11-10","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Bengali"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":1061.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/kowshik24/Bangla-Embedding","publicTrainingData":"https://huggingface.co/datasets/sartajekram/BanglaRQA","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":128,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"IndicLangClassification":0.223798},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":283,"model":{"name":"encord-team/ebind-full","url":"https://huggingface.co/encord-team/ebind-full","zeroShotPct":100,"activeParamsB":1.739,"totalParamsB":1.79,"embeddingDim":1024,"maxTokens":32.0,"releaseDate":"2025-11-19","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text","image","audio","video"],"languages":["English"],"citation":"\n@misc{broadbent2025ebindpracticalapproachspace,\n title={{EBind}: a practical approach to space binding},\n author={Jim Broadbent and Felix Cohen and Frederik Hvilshøj and Eric Landau and Eren Sasoglu},\n year={2025},\n eprint={2511.14229},\n archivePrefix={arXiv},\n primaryClass={cs.LG},\n url={https://arxiv.org/abs/2511.14229},\n}\n","memoryUsageMb":6828.0,"license":"cc-by-nc-sa-4.0","publicTrainingCode":"https://github.com/encord-team/ebind","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["audio","video"],"trainingDatasets":["AudioCapsA2TRetrieval","AudioCapsAVA2VRetrieval","AudioCapsAVAT2VRetrieval","AudioCapsAVT2VARetrieval","AudioCapsAVT2VRetrieval","AudioCapsAVV2ARetrieval","AudioCapsAVV2TRetrieval","AudioCapsAVVA2TRetrieval","AudioCapsAVVT2ARetrieval","AudioCapsT2ARetrieval","Imagenet1k","Imagenet1kZeroShot","VALOR32KA2VRetrieval","VALOR32KAT2VRetrieval","VALOR32KT2VARetrieval","VALOR32KT2VRetrieval","VALOR32KV2ARetrieval","VALOR32KV2TRetrieval","VALOR32KVA2TRetrieval","VALOR32KVT2ARetrieval","VGGSoundAVA2VRetrieval","VGGSoundAVAT2VRetrieval","VGGSoundAVT2VARetrieval","VGGSoundAVT2VRetrieval","VGGSoundAVV2ARetrieval","VGGSoundAVV2TRetrieval","VGGSoundAVVA2TRetrieval","VGGSoundAVVT2ARetrieval","VGGSoundV","VGGSoundVA","VGGSoundVideoAudioZeroshot","VGGSoundVideoZeroshot"]},"zeroShotPct":100,"activeParamsB":1.739,"totalParamsB":1.79,"embeddingDim":1024,"maxTokens":32,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.699115,"SprintDuplicateQuestions":0.940143,"STS15":0.762918,"STS17":0.47103781818181817,"ArXivHierarchicalClusteringP2P":0.564564,"MassiveIntentClassification":0.2428470392156863,"StackExchangeClustering.v2":0.607372,"AmazonCounterfactualClassification":0.566830875,"ArXivHierarchicalClusteringS2S":0.566479,"ArguAna":0.20697,"ToxicConversationsClassification":0.60332,"BiorxivClusteringP2P.v2":0.346831,"STS14":0.648397,"STSBenchmark":0.724238,"SICK-R":0.763171,"SCIDOCS":0.13224,"STS22.v2":0.16217805555555553,"STS12":0.688575,"TwitterURLCorpus":0.789839,"TRECCOVID":0.43863,"MedrxivClusteringP2P.v2":0.339654},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":284,"model":{"name":"BAAI/bge-small-en","url":"https://huggingface.co/BAAI/bge-small-en","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2023-08-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://data.baai.ac.cn/details/BAAI-MTP","adaptedFrom":null,"supersededBy":"BAAI/bge-small-en-v1.5","extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","DuRetrieval","MLQARetrieval","NQ","NQ-NL","NQHardNegatives"]},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.033,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8185436343502378,"SprintDuplicateQuestions":0.9654142419791388,"STS15":0.8646858500002093,"ArguAna":0.58835,"ToxicConversationsClassification":0.688394,"STS14":0.8085052504637809,"STSBenchmark":0.8488533418425661,"SICK-R":0.7924635891006621,"SCIDOCS":0.20190999999999998,"STS12":0.7836856568042397,"TwitterURLCorpus":0.8383585648120315,"TRECCOVID":0.7316400000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":285,"model":{"name":"LingoIITGN/FlowVec-v1","url":"https://huggingface.co/LingoIITGN/FlowVec-v1","zeroShotPct":96,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960.0,"releaseDate":"2026-09-08","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Assamese","Bengali","Bodo (India)","Dogri (macrolanguage)","Gujarati","Hindi","Kannada","Kashmiri","Maithili","Malayalam","Manipuri","Marathi","Nepali (macrolanguage)","Oriya (macrolanguage)","Panjabi","Sanskrit","Santali","Sindhi","Tamil","Telugu","Urdu"],"citation":null,"memoryUsageMb":14433.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["IndicGLUE","IndicXNLI","MassiveIntentClassification","SIB200ClusteringS2S","Samanantar","XNLI"]},"zeroShotPct":96,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"IndicCrosslingualSTS":0.6141836666666667,"NepaliNewsClassification":0.970117,"PunjabiNewsClassification":0.842038,"SentimentAnalysisHindi":0.760162,"GujaratiNewsClassification":0.912291},"scoresByCustomGroup":{},"trainedOnTasks":["SIB200ClusteringS2S","XNLI"],"experiments":null},{"rank":286,"model":{"name":"LingoIITGN/qwen-indic-v1","url":"https://huggingface.co/LingoIITGN/qwen-indic-v1","zeroShotPct":98,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960.0,"releaseDate":"2026-07-03","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Assamese","Bengali","Bodo (India)","Dogri (macrolanguage)","Gujarati","Hindi","Kannada","Kashmiri","Maithili","Malayalam","Manipuri","Marathi","Nepali (macrolanguage)","Oriya (macrolanguage)","Panjabi","Sanskrit","Santali","Sindhi","Tamil","Telugu","Urdu"],"citation":null,"memoryUsageMb":14433.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["IndicGLUE","IndicXNLI","MassiveIntentClassification","Samanantar"]},"zeroShotPct":98,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"IndicCrosslingualSTS":0.6167530833333333,"NepaliNewsClassification":0.953174,"PunjabiNewsClassification":0.80828,"SentimentAnalysisHindi":0.676978,"GujaratiNewsClassification":0.845827},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":287,"model":{"name":"Sailesh97/Hinvec","url":"https://huggingface.co/Sailesh97/Hinvec","zeroShotPct":96,"activeParamsB":0.872,"totalParamsB":0.94,"embeddingDim":2048,"maxTokens":2048.0,"releaseDate":"2025-06-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Hindi"],"citation":null,"memoryUsageMb":3715.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","FloresBitextMining","HindiDiscourseClassification","LinceMTBitextMining","MLQARetrieval","MTOPIntentClassification","MassiveScenarioClassification","MintakaRetrieval","PhincBitextMining","SentimentAnalysisHindi","XNLI"]},"zeroShotPct":96,"activeParamsB":0.872,"totalParamsB":0.94,"embeddingDim":2048,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"IndicCrosslingualSTS":0.06981016666666666,"NepaliNewsClassification":0.924561,"PunjabiNewsClassification":0.607006,"SentimentAnalysisHindi":0.605507,"IndicLangClassification":0.55165,"GujaratiNewsClassification":0.463354},"scoresByCustomGroup":{},"trainedOnTasks":["SentimentAnalysisHindi","XNLI"],"experiments":null},{"rank":288,"model":{"name":"JMullings/spectral-embed-v1-140m","url":"https://huggingface.co/JMullings/spectral-embed-v1-140m","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.134,"embeddingDim":2048,"maxTokens":512.0,"releaseDate":"2026-10-06","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":512.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["NFCorpus"]},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.134,"embeddingDim":2048,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.654394,"SprintDuplicateQuestions":0.80089,"STS15":0.777566,"STS17":0.3571450909090909,"ArXivHierarchicalClusteringP2P":0.517187,"StackExchangeClustering.v2":0.348801,"AmazonCounterfactualClassification":0.697974,"ArXivHierarchicalClusteringS2S":0.508886,"ArguAna":0.30922,"ToxicConversationsClassification":0.576758,"BiorxivClusteringP2P.v2":0.269163,"STS14":0.697917,"STSBenchmark":0.701343,"SICK-R":0.647289,"SCIDOCS":0.05982,"STS22.v2":0.34792055555555557,"STS12":0.613064,"TRECCOVID":0.22016,"MedrxivClusteringP2P.v2":0.274497},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":289,"model":{"name":"sentence-transformers/gtr-t5-xxl","url":"https://huggingface.co/sentence-transformers/gtr-t5-xxl","zeroShotPct":100,"activeParamsB":4.833,"totalParamsB":4.866,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021largedualencodersgeneralizable,\n title={Large Dual Encoders Are Generalizable Retrievers},\n author={Jianmo Ni and Chen Qu and Jing Lu and Zhuyun Dai and Gustavo Hernández Ábrego and Ji Ma and Vincent Y. Zhao and Yi Luan and Keith B. Hall and Ming-Wei Chang and Yinfei Yang},\n year={2021},\n eprint={2112.07899},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2112.07899},\n}\n","memoryUsageMb":9279.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":4.833,"totalParamsB":4.866,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8271549276218907,"SprintDuplicateQuestions":0.9568031991336099,"STS15":0.8625849084541269,"ArguAna":0.53769,"ToxicConversationsClassification":0.684844,"STS14":0.7824131910280874,"STSBenchmark":0.7772574493807944,"SICK-R":0.7429383974498337,"SCIDOCS":0.15881,"STS12":0.701248199396564,"TwitterURLCorpus":0.851341871186482,"TRECCOVID":0.51903},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":290,"model":{"name":"kazalbrur/bangla-embed-e5-small-banglish","url":"https://huggingface.co/kazalbrur/bangla-embed-e5-small-banglish","zeroShotPct":98,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2026-06-23","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Bengali","Bengali (Latin)","English"],"citation":null,"memoryUsageMb":450.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","IndicXnliPairClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XNLI","XNLIV2","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"IndicCrosslingualSTS":0.47975075,"NepaliNewsClassification":0.928711,"PunjabiNewsClassification":0.817197,"SentimentAnalysisHindi":0.619777,"GujaratiNewsClassification":0.772989},"scoresByCustomGroup":{},"trainedOnTasks":["XNLI"],"experiments":null},{"rank":291,"model":{"name":"sentence-transformers/gtr-t5-xl","url":"https://huggingface.co/sentence-transformers/gtr-t5-xl","zeroShotPct":100,"activeParamsB":1.209,"totalParamsB":1.242,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021largedualencodersgeneralizable,\n title={Large Dual Encoders Are Generalizable Retrievers},\n author={Jianmo Ni and Chen Qu and Jing Lu and Zhuyun Dai and Gustavo Hernández Ábrego and Ji Ma and Vincent Y. Zhao and Yi Luan and Keith B. Hall and Ming-Wei Chang and Yinfei Yang},\n year={2021},\n eprint={2112.07899},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2112.07899},\n}\n","memoryUsageMb":2367.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":1.209,"totalParamsB":1.242,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.8181723080195181,"SprintDuplicateQuestions":0.9545377318094498,"STS15":0.8600886559584635,"STS17":0.4614156560085977,"ArguAna":0.52806,"ToxicConversationsClassification":0.6755579999999999,"Tatoeba":0.18539287358507656,"STS14":0.7706598351608042,"STSBenchmark":0.7764987371874676,"SICK-R":0.7362503612794212,"SCIDOCS":0.15708,"STS12":0.6910584816006706,"TwitterURLCorpus":0.8513527261010518,"TRECCOVID":0.60087},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":292,"model":{"name":"FacebookAI/xlm-roberta-large","url":"https://huggingface.co/FacebookAI/xlm-roberta-large","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2019-11-05","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"@article{DBLP:journals/corr/abs-1911-02116,\n author = {Alexis Conneau and\n Kartikay Khandelwal and\n Naman Goyal and\n Vishrav Chaudhary and\n Guillaume Wenzek and\n Francisco Guzm{'{a}}n and\n Edouard Grave and\n Myle Ott and\n Luke Zettlemoyer and\n Veselin Stoyanov},\n title = {Unsupervised Cross-lingual Representation Learning at Scale},\n journal = {CoRR},\n volume = {abs/1911.02116},\n year = {2019},\n url = {http://arxiv.org/abs/1911.02116},\n eprinttype = {arXiv},\n eprint = {1911.02116},\n timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}","memoryUsageMb":2141.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.23437999999999998,"NordicLangClassification":0.8131,"MassiveIntentClassification":0.4132974901960784,"NorwegianCourtsBitextMining":0.339383,"BornholmBitextMining":0.043438,"DalajClassification":0.524775,"TwitterHjerneRetrieval":0.20657,"ScalaClassification":0.6284302500000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":293,"model":{"name":"FacebookAI/xlm-roberta-base","url":"https://huggingface.co/FacebookAI/xlm-roberta-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2019-11-05","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Amharic (Latin)","Arabic (Latin)","Armenian (Latin)","Assamese (Latin)","Azerbaijani","Basque","Belarusian (Latin)","Bengali","Bengali (Latin)","Bosnian","Breton","Bulgarian (Latin)","Burmese (Latin)","Catalan","Chinese","Chinese (Traditional)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian (Latin)","German","Gujarati (Latin)","Hausa","Hebrew (Latin)","Hindi","Hindi (Latin)","Hungarian","Icelandic","Indonesian","Irish","Italian","Japanese (Latin)","Javanese","Kannada (Latin)","Kazakh (Latin)","Khmer (Latin)","Kirghiz (Latin)","Korean (Latin)","Kurdish (Latin)","Lao (Latin)","Latin","Latvian","Lithuanian","Macedonian (Latin)","Malagasy (Latin)","Malay (macrolanguage)","Malayalam (Latin)","Marathi (Latin)","Modern Greek (1453-) (Latin)","Mongolian (Latin)","Nepali (macrolanguage) (Latin)","Norwegian Bokmål","Oriya (macrolanguage) (Latin)","Oromo (Latin)","Panjabi (Latin)","Persian (Latin)","Polish","Portuguese","Pushto (Latin)","Romanian","Russian (Latin)","Sanskrit (Latin)","Scottish Gaelic","Serbian (Latin)","Sindhi (Latin)","Sinhala (Latin)","Slovak","Slovenian","Somali","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Tamil (Latin)","Telugu","Telugu (Latin)","Thai (Latin)","Turkish","Uighur (Latin)","Ukrainian (Latin)","Urdu","Urdu (Latin)","Uzbek","Vietnamese","Welsh","Western Frisian","Xhosa","Yiddish (Latin)"],"citation":"@article{DBLP:journals/corr/abs-1911-02116,\n author = {Alexis Conneau and\n Kartikay Khandelwal and\n Naman Goyal and\n Vishrav Chaudhary and\n Guillaume Wenzek and\n Francisco Guzm{'{a}}n and\n Edouard Grave and\n Myle Ott and\n Luke Zettlemoyer and\n Veselin Stoyanov},\n title = {Unsupervised Cross-lingual Representation Learning at Scale},\n journal = {CoRR},\n volume = {abs/1911.02116},\n year = {2019},\n url = {http://arxiv.org/abs/1911.02116},\n eprinttype = {arXiv},\n eprint = {1911.02116},\n timestamp = {Mon, 11 Nov 2019 18:38:09 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1911-02116.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}","memoryUsageMb":1064.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.26850450000000003,"NordicLangClassification":0.793533,"MassiveIntentClassification":0.3808116764705882,"NorwegianCourtsBitextMining":0.506421,"BornholmBitextMining":0.044202,"DalajClassification":0.511712,"TwitterHjerneRetrieval":0.19058,"ScalaClassification":0.6037355},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":294,"model":{"name":"McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse","zeroShotPct":100,"activeParamsB":6.516,"totalParamsB":6.647,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":6.516,"totalParamsB":6.647,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.7926435573752327,"SprintDuplicateQuestions":0.8757401607596607,"STS15":0.8272040157931015,"ArguAna":0.47093,"ToxicConversationsClassification":0.718126,"STS14":0.7298102120833857,"STSBenchmark":0.7832422438643496,"SICK-R":0.7176588896280093,"SCIDOCS":0.10000999999999999,"STS12":0.653943089429597,"TwitterURLCorpus":0.8094267715916922,"TRECCOVID":0.60672},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":295,"model":{"name":"McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse","zeroShotPct":100,"activeParamsB":7.022,"totalParamsB":7.547,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":28629.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":7.022,"totalParamsB":7.547,"embeddingDim":4096,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.7971131323749228,"SprintDuplicateQuestions":0.881421623503371,"STS15":0.8217899407125657,"ArguAna":0.51731,"ToxicConversationsClassification":0.718488,"STS14":0.7210974664733891,"STSBenchmark":0.7744151296326804,"SICK-R":0.7215850185456761,"SCIDOCS":0.10388,"STS12":0.6159518395985063,"TwitterURLCorpus":0.7929963896460293,"TRECCOVID":0.63343},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":296,"model":{"name":"albertobarnabo/bge-m3-italian","url":"https://huggingface.co/albertobarnabo/bge-m3-italian","zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2026-09-13","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Italian"],"citation":null,"memoryUsageMb":2167.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/unicamp-dl/mmarco","adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MMarcoRetrievalMultilingual"]},"zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ItaCaseholdClassification":0.653394},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":297,"model":{"name":"telepix/PIXIE-Rune-v1.0","url":"https://huggingface.co/telepix/PIXIE-Rune-v1.0","zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":6144.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Albanian","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Serbian","Sinhala","Slovak","Slovenian","Somali","Spanish","Swahili (macrolanguage)","Swedish","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@article{yu2024arctic,\n title={Arctic-Embed 2.0: Multilingual Retrieval Without Compromise},\n author={Yu, Puxuan and Merrick, Luke and Nuti, Gaurav and Campos, Daniel},\n journal={arXiv preprint arXiv:2412.04506},\n year={2024},\n eprint={2412.04506},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2412.04506}\n}","memoryUsageMb":2166.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Snowflake/snowflake-arctic-embed-l-v2.0","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","TelePIX-Proprietary-IR-Triplets"]},"zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":6144,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.26171,"MIRACLRetrievalHardNegatives":0.614965},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":298,"model":{"name":"sentence-transformers/gtr-t5-base","url":"https://huggingface.co/sentence-transformers/gtr-t5-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.11,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{ni2021largedualencodersgeneralizable,\n title={Large Dual Encoders Are Generalizable Retrievers},\n author={Jianmo Ni and Chen Qu and Jing Lu and Zhuyun Dai and Gustavo Hernández Ábrego and Ji Ma and Vincent Y. Zhao and Yi Luan and Keith B. Hall and Ming-Wei Chang and Yinfei Yang},\n year={2021},\n eprint={2112.07899},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2112.07899},\n}\n","memoryUsageMb":209.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Community QA","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.11,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.7909019447848391,"SprintDuplicateQuestions":0.9454933848900441,"STS15":0.8484757279716068,"ArguAna":0.50828,"ToxicConversationsClassification":0.12610869387810816,"STS14":0.7464141703710193,"STSBenchmark":0.7957572102026641,"SICK-R":0.7144730243032524,"SCIDOCS":0.14,"STS12":0.6859358272758398,"TwitterURLCorpus":0.8477048332956029,"TRECCOVID":0.56047},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":299,"model":{"name":"Octen/Octen-Embedding-4B","url":"https://huggingface.co/Octen/Octen-Embedding-4B","zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2025-12-30","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.85569,"MIRACLRetrievalHardNegatives":0.6371855555555556},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":300,"model":{"name":"nvidia/Nemotron-3-Embed-1B-BF16","url":"https://huggingface.co/nvidia/Nemotron-3-Embed-1B-BF16","zeroShotPct":95,"activeParamsB":0.872,"totalParamsB":1.141,"embeddingDim":2048,"maxTokens":32768.0,"releaseDate":"2026-07-16","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Assamese","Bengali","Bulgarian","Chinese","Danish","Dutch","English","Finnish","French","German","Hindi","Hindi (Latin)","Indonesian","Italian","Japanese","Korean","Malay (macrolanguage)","Marathi","Nepali (macrolanguage)","Norwegian","Persian","Portuguese","Romanian","Russian","Spanish","Swahili (macrolanguage)","Swedish","Tamil","Telugu","Thai","Ukrainian","Urdu","Vietnamese"],"citation":null,"memoryUsageMb":2176.0,"license":"openmdw-1.1","publicTrainingCode":"https://github.com/NVIDIA-NeMo/Automodel/tree/main/examples/retrieval/distillation","publicTrainingData":"https://huggingface.co/nvidia/Nemotron-3-Embed-1B-BF16#training-testing-and-evaluation-datasets","adaptedFrom":"mistralai/Ministral-3-3B-Instruct-2512","supersededBy":null,"extraRequirementsGroups":["nemotron-3-embed"],"trainingDatasets":["AppsRetrieval","BioASQ","CodeTransOceanContest","CodeTransOceanDL","CosQA","FEVER","FinQARetrieval","FinePDFs","HoVer","HotpotQA","MIRACLRetrieval","MLQARetrieval","NQ","Nemotron-CC-v2","PAQ","RedditClustering","SQuAD","SpartQA","StackOverflowQA","SyntheticText2SQL","TempReasonL1","TriviaQA","WikiSQLRetrieval","WinoGrande"]},"zeroShotPct":95,"activeParamsB":0.872,"totalParamsB":1.141,"embeddingDim":2048,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.56662,"MIRACLRetrievalHardNegatives":0.6869905555555555,"GermanSTSBenchmark":0.48766750000000003},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":301,"model":{"name":"bflhc/MoD-Embedding","url":"https://huggingface.co/bflhc/MoD-Embedding","zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2025-12-14","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.90739,"MIRACLRetrievalHardNegatives":0.6640922222222223},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":303,"model":{"name":"mongodb/voyage-3.5 (output_dtype=int8)","url":"https://blog.voyageai.com/2025/05/20/voyage-3-5/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2025-01-21","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mongodb/voyage-3.5","supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.364459,"NordicLangClassification":0.486833,"MassiveIntentClassification":0.6207519215686275,"AILAStatutes":0.47572,"NorwegianCourtsBitextMining":0.929825,"BornholmBitextMining":0.421132,"MIRACLRetrievalHardNegatives":0.5920333333333333,"DalajClassification":0.499437,"TwitterHjerneRetrieval":0.85256,"ScalaClassification":0.5108885},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":305,"model":{"name":"nvidia/Nemotron-3-Embed-8B-BF16","url":"https://huggingface.co/nvidia/Nemotron-3-Embed-8B-BF16","zeroShotPct":95,"activeParamsB":7.416,"totalParamsB":7.953,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2026-07-16","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Assamese","Bengali","Bulgarian","Chinese","Danish","Dutch","English","Finnish","French","German","Hindi","Hindi (Latin)","Indonesian","Italian","Japanese","Korean","Malay (macrolanguage)","Marathi","Nepali (macrolanguage)","Norwegian","Persian","Portuguese","Romanian","Russian","Spanish","Swahili (macrolanguage)","Swedish","Tamil","Telugu","Thai","Ukrainian","Urdu","Vietnamese"],"citation":null,"memoryUsageMb":15169.0,"license":"openmdw-1.1","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/nvidia/Nemotron-3-Embed-8B-BF16#training-testing-and-evaluation-datasets","adaptedFrom":"mistralai/Ministral-3-8B-Instruct-2512","supersededBy":null,"extraRequirementsGroups":["nemotron-3-embed"],"trainingDatasets":["AppsRetrieval","BioASQ","CodeTransOceanContest","CodeTransOceanDL","CosQA","FEVER","FinQARetrieval","FinePDFs","HoVer","HotpotQA","MIRACLRetrieval","MLQARetrieval","NQ","Nemotron-CC-v2","PAQ","RedditClustering","SQuAD","SpartQA","StackOverflowQA","SyntheticText2SQL","TempReasonL1","TriviaQA","WikiSQLRetrieval","WinoGrande"]},"zeroShotPct":95,"activeParamsB":7.416,"totalParamsB":7.953,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.5826,"MIRACLRetrievalHardNegatives":0.7171255555555556},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":306,"model":{"name":"mongodb/voyage-3.5 (output_dtype=binary)","url":"https://blog.voyageai.com/2025/05/20/voyage-3-5/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2025-01-21","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mongodb/voyage-3.5","supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.3570315,"NordicLangClassification":0.445767,"MassiveIntentClassification":0.5936590098039215,"AILAStatutes":0.41247,"NorwegianCourtsBitextMining":0.929094,"BornholmBitextMining":0.34718,"MIRACLRetrievalHardNegatives":0.5050655555555555,"DalajClassification":0.501351,"TwitterHjerneRetrieval":0.84191,"ScalaClassification":0.504834},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":307,"model":{"name":"Hanno-Labs/dinghy-law-0.6b-v1","url":"https://huggingface.co/Hanno-Labs/dinghy-law-0.6b-v1","zeroShotPct":99,"activeParamsB":0.442,"totalParamsB":0.597,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-07-13","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","German"],"citation":null,"memoryUsageMb":1138.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/Hanno-Labs/legal-retrieval-pairs-v1","adaptedFrom":"Qwen/Qwen3-Embedding-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["BillSumUS","GerDaLIR","GerDaLIRSmall"]},"zeroShotPct":99,"activeParamsB":0.442,"totalParamsB":0.597,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.77579,"LegalBenchCorporateLobbying":0.9495},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":307,"model":{"name":"McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse","url":"https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse","zeroShotPct":100,"activeParamsB":1.229,"totalParamsB":1.295,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n@misc{behnamghader2024llm2veclargelanguagemodels,\n title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},\n author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},\n year={2024},\n eprint={2404.05961},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2404.05961},\n}","memoryUsageMb":27126.0,"license":"mit","publicTrainingCode":"https://github.com/McGill-NLP/llm2vec/tree/250292a307428240d801fadd85825464e71c3277/train_configs","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["llm2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":1.229,"totalParamsB":1.295,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.7251503781013379,"SprintDuplicateQuestions":0.7736426466374055,"STS15":0.7769462578028768,"ArguAna":0.43644,"ToxicConversationsClassification":0.68405,"STS14":0.666954698644186,"STSBenchmark":0.7336074244064154,"SICK-R":0.6934396953516386,"SCIDOCS":0.05531,"STS12":0.6009437406536074,"TwitterURLCorpus":0.7772774861009667,"TRECCOVID":0.56041},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":309,"model":{"name":"minetta/nemotron-3-embed-8b-legal","url":"https://huggingface.co/minetta/nemotron-3-embed-8b-legal","zeroShotPct":-1,"activeParamsB":7.416,"totalParamsB":7.953,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2026-07-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":15168.0,"license":"openmdw-1.1","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"nvidia/Nemotron-3-Embed-8B-BF16","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":7.416,"totalParamsB":7.953,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.58652,"LegalBenchCorporateLobbying":0.96269},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":310,"model":{"name":"nicher92/saga-embed_v1","url":"https://huggingface.co/nicher92/saga-embed_v1","zeroShotPct":99,"activeParamsB":0.353,"totalParamsB":0.404,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2025-01-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","Norwegian","Swedish"],"citation":null,"memoryUsageMb":2167.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["NQ","RedditClustering","StackExchangeClustering"]},"zeroShotPct":99,"activeParamsB":0.353,"totalParamsB":0.404,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.4045835,"NordicLangClassification":0.9111,"NorwegianCourtsBitextMining":0.932749,"BornholmBitextMining":0.360316,"DalajClassification":0.503491,"TwitterHjerneRetrieval":0.7816,"ScalaClassification":0.52121575},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":311,"model":{"name":"openai/text-embedding-3-large (embed_dim=512)","url":"https://openai.com/index/new-embedding-models-and-api-updates/","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":8191.0,"releaseDate":"2024-01-25","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["openai"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":8191,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.34792,"NordicLangClassification":0.7566,"MassiveIntentClassification":0.5689144901960784,"NorwegianCourtsBitextMining":0.943713,"BornholmBitextMining":0.382256,"DalajClassification":0.50259,"TwitterHjerneRetrieval":0.82938,"ScalaClassification":0.50596925},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":312,"model":{"name":"NbAiLab/nb-sbert-base","url":"https://huggingface.co/NbAiLab/nb-sbert-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.178,"embeddingDim":4096,"maxTokens":75.0,"releaseDate":"2022-11-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"citation":null,"memoryUsageMb":678.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/NbAiLab/mnli-norwegian","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.178,"embeddingDim":4096,"maxTokens":75,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.306823,"NordicLangClassification":0.627567,"NorwegianCourtsBitextMining":0.923246,"BornholmBitextMining":0.517433,"DalajClassification":0.50045,"TwitterHjerneRetrieval":0.45981,"ScalaClassification":0.5123045},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":313,"model":{"name":"openai/text-embedding-3-small (embed_dim=512)","url":"https://openai.com/index/new-embedding-models-and-api-updates/","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":8191.0,"releaseDate":"2024-01-25","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["openai"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":512,"maxTokens":8191,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.344246,"NordicLangClassification":0.655867,"MassiveIntentClassification":0.5041233235294117,"NorwegianCourtsBitextMining":0.925439,"BornholmBitextMining":0.382249,"DalajClassification":0.50214,"TwitterHjerneRetrieval":0.6897,"ScalaClassification":0.503821},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":314,"model":{"name":"emillykkejensen/mmBERTscandi-base-embedding","url":"https://huggingface.co/emillykkejensen/Qwen3-Embedding-Scandi-0.6B","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-10-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":1171.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/DDSC/nordic-embedding-training-data","adaptedFrom":"jonasaise/scandmmBERT-base-scandinavian","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.3762465,"NordicLangClassification":0.8022,"NorwegianCourtsBitextMining":0.914766,"BornholmBitextMining":0.189198,"DalajClassification":0.498874,"TwitterHjerneRetrieval":0.47613,"ScalaClassification":0.5289185000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":316,"model":{"name":"emillykkejensen/EmbeddingGemma-Scandi-300m","url":"https://huggingface.co/emillykkejensen/EmbeddingGemma-Scandi-300m","zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.308,"embeddingDim":768,"maxTokens":2048.0,"releaseDate":"2025-10-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"citation":"@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych, Iryna\",\n booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing\",\n month = \"11\",\n year = \"2019\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://arxiv.org/abs/1908.10084\",\n}","memoryUsageMb":578.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/DDSC/nordic-embedding-training-data","adaptedFrom":"google/embeddinggemma-300m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.106,"totalParamsB":0.308,"embeddingDim":768,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.35640499999999997,"NordicLangClassification":0.6096,"NorwegianCourtsBitextMining":0.888158,"BornholmBitextMining":0.343898,"DalajClassification":0.501689,"TwitterHjerneRetrieval":0.48623,"ScalaClassification":0.5022340000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":317,"model":{"name":"emillykkejensen/Qwen3-Embedding-Scandi-0.6B","url":"https://huggingface.co/emillykkejensen/Qwen3-Embedding-Scandi-0.6B","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2025-10-17","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"citation":null,"memoryUsageMb":2272.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/DDSC/nordic-embedding-training-data","adaptedFrom":"Qwen/Qwen3-Embedding-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.3659395,"NordicLangClassification":0.7085,"NorwegianCourtsBitextMining":0.866813,"BornholmBitextMining":0.270922,"DalajClassification":0.502027,"TwitterHjerneRetrieval":0.39506,"ScalaClassification":0.50594475},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":318,"model":{"name":"manveertamber/cadet-embed-base-v1","url":"https://huggingface.co/manveertamber/cadet-embed-base-v1","zeroShotPct":97,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-05-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@article{tamber2025conventionalcontrastivelearningfalls,\n title={Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data},\n author={Manveer Singh Tamber and Suleman Kazi and Vivek Sourabh and Jimmy Lin},\n journal={arXiv:2505.19274},\n year={2025}\n}","memoryUsageMb":418.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/manveertamber/cadet-dense-retrieval","publicTrainingData":"https://github.com/manveertamber/cadet-dense-retrieval","adaptedFrom":"intfloat/e5-base-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["ArguAna","CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DBPedia","DuRetrieval","FEVER","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","T2Retrieval","mMARCO-NL"]},"zeroShotPct":97,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.5616,"AILAStatutes":0.23612,"HagridRetrieval":0.98896,"SCIDOCS":0.1909,"LegalBenchCorporateLobbying":0.9296,"TRECCOVID":0.80555,"StackOverflowQA":0.85742,"LEMBPasskeyRetrieval":0.3825},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna"],"experiments":null},{"rank":319,"model":{"name":"mongodb/voyage-multimodal-3","url":"https://huggingface.co/voyageai/voyage-multimodal-3","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2024-11-10","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["image","text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyage_v"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.317681,"NordicLangClassification":0.499433,"MassiveIntentClassification":0.5497937843137255,"NorwegianCourtsBitextMining":0.911111,"BornholmBitextMining":0.399191,"DalajClassification":0.501239,"TwitterHjerneRetrieval":0.74323,"ScalaClassification":0.50426025},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":321,"model":{"name":"Querit/Querit-4B","url":"https://huggingface.co/Querit/Querit-4B","zeroShotPct":98,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":40960.0,"releaseDate":"2026-06-14","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{zhong2026queritrerankertrainingcompactmultilingual,\n title={Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation},\n author={Yunfei Zhong and Jun Yang and Wei Huang and Yinqiong Cai and Haosheng Qian and Yixing Fan and Ruqing Zhang and Lixin Su and Daiting Shi and Jiafeng Guo},\n year={2026},\n eprint={2606.19037},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2606.19037},\n}","memoryUsageMb":7671.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","CQADupStack","MIRACLRanking","MSMARCO","MindSmallReranking","MrTidyRetrieval","MultiLongDocReranking","T2Reranking","ruri-v3-dataset-reranker"]},"zeroShotPct":98,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":2560,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Reranking":0.694529638888889},"scoresByTask":{"WikipediaRerankingMultilingual":0.9178325,"RuBQReranking":0.79839,"T2Reranking":0.69388,"WebLINXCandidatesReranking":0.21075533333333332,"VoyageMMarcoReranking":0.7074,"AlloprofReranking":0.83892},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":323,"model":{"name":"jinaai/jina-reranker-v3","url":"https://huggingface.co/jinaai/jina-reranker-v3","zeroShotPct":97,"activeParamsB":0.441,"totalParamsB":0.597,"embeddingDim":null,"maxTokens":131072.0,"releaseDate":"2025-09-18","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{wang2025jinarerankerv3lateinteractionlistwise,\n title={jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking},\n author={Feng Wang and Yuqing Li and Han Xiao},\n year={2025},\n eprint={2509.25085},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2509.25085},}\n","memoryUsageMb":1138.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-0.6B","supersededBy":"jinaai/jina-reranker-v3.5","extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","CornStack","DuRetrieval","HotpotQA","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCOHardNegatives","MrTidyRetrieval","MultiLongDocRetrieval","NQ","NQHardNegatives","StackOverflowQA","T2Reranking","T2Retrieval"]},"zeroShotPct":97,"activeParamsB":0.441,"totalParamsB":0.597,"embeddingDim":null,"maxTokens":131072,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Reranking":0.6783726250000001},"scoresByTask":{"WikipediaRerankingMultilingual":0.9307712499999999,"RuBQReranking":0.79011,"T2Reranking":0.70284,"WebLINXCandidatesReranking":0.0879645,"VoyageMMarcoReranking":0.73515,"AlloprofReranking":0.8234},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":324,"model":{"name":"Querit/Querit","url":"https://huggingface.co/Querit/Querit","zeroShotPct":99,"activeParamsB":0.434,"totalParamsB":4.92,"embeddingDim":1024,"maxTokens":4096.0,"releaseDate":"2026-05-14","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{zhong2026queritrerankertrainingcompactmultilingual,\n title={Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation},\n author={Yunfei Zhong and Jun Yang and Wei Huang and Yinqiong Cai and Haosheng Qian and Yixing Fan and Ruqing Zhang and Lixin Su and Daiting Shi and Jiafeng Guo},\n year={2026},\n eprint={2606.19037},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2606.19037},\n}","memoryUsageMb":9383.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AskUbuntuDupQuestions","CQADupStack","MIRACLRanking","MSMARCO","MindSmallReranking","MrTidyRetrieval","MultiLongDocReranking","T2Reranking","ruri-v3-dataset-reranker"]},"zeroShotPct":99,"activeParamsB":0.434,"totalParamsB":4.92,"embeddingDim":1024,"maxTokens":4096,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Reranking":0.6583555347222222},"scoresByTask":{"WikipediaRerankingMultilingual":0.910464375,"RuBQReranking":0.75369,"T2Reranking":0.68981,"WebLINXCandidatesReranking":0.11630883333333335,"VoyageMMarcoReranking":0.68593,"AlloprofReranking":0.79393},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":325,"model":{"name":"KennethEnevoldsen/dfm-sentence-encoder-large","url":"https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.355,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-07-12","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish"],"citation":"@article{enevoldsenScandinavianEmbeddingBenchmarks2024,\n title = {The {Scandinavian} {Embedding} {Benchmarks}: {Comprehensive} {Assessment} of {Multilingual} and {Monolingual} {Text} {Embedding}},\n shorttitle = {The {Scandinavian} {Embedding} {Benchmarks}},\n url = {https://openreview.net/forum?id=pJl_i7HIA72},\n language = {en},\n urldate = {2024-04-12},\n author = {Enevoldsen, Kenneth and Kardos, Márton and Muennighoff, Niklas and Nielbo, Kristoffer},\n month = feb,\n year = {2024},\n}\n","memoryUsageMb":1554.0,"license":"mit","publicTrainingCode":"https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large#hyperparameters","publicTrainingData":"https://huggingface.co/datasets/danish-foundation-models/danish-gigaword","adaptedFrom":"chcaa/dfm-encoder-large-v1","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.355,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.2273655,"NordicLangClassification":0.759733,"MassiveIntentClassification":0.2573341470588235,"NorwegianCourtsBitextMining":0.859649,"BornholmBitextMining":0.159326,"DalajClassification":0.500788,"TwitterHjerneRetrieval":0.42332,"ScalaClassification":0.63529075},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":326,"model":{"name":"KennethEnevoldsen/dfm-sentence-encoder-medium","url":"https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-medium","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-07-12","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish"],"citation":"@article{enevoldsenScandinavianEmbeddingBenchmarks2024,\n title = {The {Scandinavian} {Embedding} {Benchmarks}: {Comprehensive} {Assessment} of {Multilingual} and {Monolingual} {Text} {Embedding}},\n shorttitle = {The {Scandinavian} {Embedding} {Benchmarks}},\n url = {https://openreview.net/forum?id=pJl_i7HIA72},\n language = {en},\n urldate = {2024-04-12},\n author = {Enevoldsen, Kenneth and Kardos, Márton and Muennighoff, Niklas and Nielbo, Kristoffer},\n month = feb,\n year = {2024},\n}\n","memoryUsageMb":475.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.124,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.0315785,"NordicLangClassification":0.650167,"MassiveIntentClassification":0.24555764705882355,"NorwegianCourtsBitextMining":0.866959,"BornholmBitextMining":0.376251,"DalajClassification":0.498086,"TwitterHjerneRetrieval":0.41538,"ScalaClassification":0.5176635},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":328,"model":{"name":"rasgaard/m2v-dfm-large","url":"https://huggingface.co/rasgaard/m2v-dfm-large","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.023,"embeddingDim":256,"maxTokens":null,"releaseDate":"2025-10-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish"],"citation":null,"memoryUsageMb":87.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/datasets/HuggingFaceFW/fineweb-2","adaptedFrom":"KennethEnevoldsen/dfm-sentence-encoder-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.023,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.0568255,"NordicLangClassification":0.718667,"NorwegianCourtsBitextMining":0.64442,"BornholmBitextMining":0.116075,"DalajClassification":0.501126,"TwitterHjerneRetrieval":0.33454,"ScalaClassification":0.5},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":329,"model":{"name":"andersborges/model2vecdk-stem","url":"https://huggingface.co/andersborges/model2vecdk-stem","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.049,"embeddingDim":256,"maxTokens":null,"releaseDate":"2025-11-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish"],"citation":null,"memoryUsageMb":185.0,"license":"mit","publicTrainingCode":"https://github.com/andersborges/dkmodel2vec","publicTrainingData":"https://huggingface.co/datasets/DDSC/nordic-embedding-training-data","adaptedFrom":"jealk/TTC-L2V-supervised-2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.049,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.0514935,"NordicLangClassification":0.6155,"MassiveIntentClassification":0.18468621568627452,"NorwegianCourtsBitextMining":0.712427,"BornholmBitextMining":0.091714,"DalajClassification":0.502365,"TwitterHjerneRetrieval":0.25562,"ScalaClassification":0.4999145},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":330,"model":{"name":"andersborges/model2vecdk","url":"https://huggingface.co/andersborges/model2vecdk","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.048,"embeddingDim":256,"maxTokens":null,"releaseDate":"2025-11-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish"],"citation":null,"memoryUsageMb":183.0,"license":"mit","publicTrainingCode":"https://github.com/andersborges/dkmodel2vec","publicTrainingData":"https://huggingface.co/datasets/DDSC/nordic-embedding-training-data","adaptedFrom":"jealk/TTC-L2V-supervised-2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.048,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SwednClusteringP2P":0.0485375,"NordicLangClassification":0.633233,"MassiveIntentClassification":0.17278027450980393,"NorwegianCourtsBitextMining":0.729386,"BornholmBitextMining":0.081931,"DalajClassification":0.501239,"TwitterHjerneRetrieval":0.21053,"ScalaClassification":0.5005735},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":331,"model":{"name":"lightonai/mLateOn","url":"https://huggingface.co/lightonai/mLateOn","zeroShotPct":97,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-07-30","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","English","French","German","Italian","Norwegian Bokmål","Portuguese","Spanish","Swedish","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":1171.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/finetune/multilingual_late_interaction.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning-multilingual-unfiltered","adaptedFrom":"lightonai/mLateOn-unsupervised","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["AppsRetrieval","COIRCodeSearchNetRetrieval","CQADupstackRetrieval","ClimateFEVER","CodeEditSearchRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","DBPedia","FEVER","FiQA2018","HotpotQA","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MultiLongDocRetrieval","NQ","QuoraRetrieval","SCIDOCS","SciFact","StackOverflowQA","SyntheticText2SQL","TRECDL2019","TRECDL2020"]},"zeroShotPct":97,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.59811,"MIRACLRetrievalHardNegatives":0.6704172222222222,"SCIDOCS":0.20256,"TRECCOVID":0.82123,"StackOverflowQA":0.92253},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SCIDOCS","StackOverflowQA"],"experiments":null},{"rank":332,"model":{"name":"dunzhang/stella-large-zh-v3-1792d","url":"https://huggingface.co/dunzhang/stella-large-zh-v3-1792d","zeroShotPct":100,"activeParamsB":0.306,"totalParamsB":0.327,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2024-02-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":null,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"dunzhang/stella-mrl-large-zh-v3.5-1792d","extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","Cmnli","DuRetrieval","LCQMC","Ocnli","PAWSX","STS-B"]},"zeroShotPct":100,"activeParamsB":0.306,"totalParamsB":0.327,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6637886004738723,"CovidRetrieval":0.8244399999999998},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":333,"model":{"name":"BAAI/bge-base-zh-v1.5","url":"https://huggingface.co/BAAI/bge-base-zh-v1.5","zeroShotPct":100,"activeParamsB":0.093,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-09-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":416.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.093,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.16189,"MIRACLRetrievalHardNegatives":0.11184222222222223,"CovidRetrieval":0.74697},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":334,"model":{"name":"BAAI/bge-large-zh-v1.5","url":"https://huggingface.co/BAAI/bge-large-zh-v1.5","zeroShotPct":100,"activeParamsB":0.313,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-09-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":1278.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.313,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.15417,"MIRACLRetrievalHardNegatives":0.08280555555555555,"CovidRetrieval":0.73352},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":335,"model":{"name":"infgrad/stella-base-zh-v3-1792d","url":"https://huggingface.co/infgrad/stella-base-zh-v3-1792d","zeroShotPct":100,"activeParamsB":0.088,"totalParamsB":0.104,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2024-02-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":null,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","Cmnli","DuRetrieval","LCQMC","Ocnli","PAWSX","STS-B"]},"zeroShotPct":100,"activeParamsB":0.088,"totalParamsB":0.104,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6648634798223673,"CovidRetrieval":0.80613},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":336,"model":{"name":"keeeeenw/MicroLlama-text-embedding","url":"https://huggingface.co/keeeeenw/MicroLlama-text-embedding","zeroShotPct":100,"activeParamsB":0.239,"totalParamsB":0.272,"embeddingDim":1024,"maxTokens":2048.0,"releaseDate":"2024-11-10","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":1037.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoNQRetrieval"]},"zeroShotPct":100,"activeParamsB":0.239,"totalParamsB":0.272,"embeddingDim":1024,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArXivHierarchicalClusteringP2P":0.5681659433257183,"ArXivHierarchicalClusteringS2S":0.49948049993663013,"ArguAna":0.35442,"BiorxivClusteringP2P.v2":0.3287646605852736,"MedrxivClusteringP2P.v2":0.34174611832860946},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":337,"model":{"name":"OrdalieTech/Solon-embeddings-mini-beta-1.1","url":"https://huggingface.co/OrdalieTech/Solon-embeddings-mini-beta-1.1","zeroShotPct":100,"activeParamsB":0.113,"totalParamsB":0.212,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-01-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["French"],"citation":null,"memoryUsageMb":808.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/PleIAs/common_corpus; https://huggingface.co/datasets/HuggingFaceFW/fineweb; https://huggingface.co/datasets/OrdalieTech/wiki_fr; private LLM-synthetic (train)","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.113,"totalParamsB":0.212,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AlloprofReranking":0.735228},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":338,"model":{"name":"BAAI/bge-m3-unsupervised","url":"https://huggingface.co/BAAI/bge-m3-unsupervised","zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-01-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Amharic","Asturian","Belarusian","Bengali","Bulgarian","Catalan","Cebuano","Central Kurdish","Chinese","Danish","English","Estonian","Finnish","French","Galician","German","Gujarati","Hebrew","Hindi","Italian","Japanese","Korean","Modern Greek (1453-)","North Azerbaijani","Russian","Thai","Ukrainian"],"citation":"@misc{bge-m3,\n title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},\n author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},\n year={2024},\n eprint={2402.03216},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}","memoryUsageMb":2167.0,"license":"mit","publicTrainingCode":"https://github.com/FlagOpen/FlagEmbedding","publicTrainingData":"https://huggingface.co/datasets/cfli/bge-full-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DuRetrieval","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","T2Retrieval","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.26156,"MIRACLRetrievalHardNegatives":0.4913188888888889},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":339,"model":{"name":"lightonai/mDenseOn","url":"https://huggingface.co/lightonai/mDenseOn","zeroShotPct":97,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-07-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","English","French","German","Italian","Norwegian Bokmål","Portuguese","Spanish","Swedish","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":1171.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/finetune/multilingual_dense.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning-multilingual-unfiltered","adaptedFrom":"lightonai/mDenseOn-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AppsRetrieval","COIRCodeSearchNetRetrieval","CQADupstackRetrieval","ClimateFEVER","CodeEditSearchRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","DBPedia","FEVER","FiQA2018","HotpotQA","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MultiLongDocRetrieval","NQ","QuoraRetrieval","SCIDOCS","SciFact","StackOverflowQA","SyntheticText2SQL","TRECDL2019","TRECDL2020"]},"zeroShotPct":97,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.55306,"MIRACLRetrievalHardNegatives":0.5801661111111112,"SCIDOCS":0.21514,"TRECCOVID":0.81627,"StackOverflowQA":0.93444},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SCIDOCS","StackOverflowQA"],"experiments":null},{"rank":340,"model":{"name":"KFST/XLMRoberta-en-da-sv-nb","url":"https://huggingface.co/KFST/XLMRoberta-en-da-sv-nb","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-02-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Danish","English","Norwegian Bokmål","Norwegian Nynorsk","Swedish"],"citation":null,"memoryUsageMb":1061.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"FacebookAI/xlm-roberta-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.278,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"NordicLangClassification":0.444,"MassiveIntentClassification":0.4824767647058823,"NorwegianCourtsBitextMining":0.923246,"BornholmBitextMining":0.23496,"DalajClassification":0.499887,"ScalaClassification":0.50224625},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":340,"model":{"name":"DMetaSoul/Dmeta-embedding-zh-small","url":"https://huggingface.co/DMetaSoul/Dmeta-embedding-zh-small/","zeroShotPct":-1,"activeParamsB":0.058,"totalParamsB":0.074,"embeddingDim":768,"maxTokens":1024.0,"releaseDate":"2024-03-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":283.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.058,"totalParamsB":0.074,"embeddingDim":768,"maxTokens":1024,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6610932017114579,"CovidRetrieval":0.75626},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":342,"model":{"name":"iara-project/e5-large-matryoshka-sts-pt","url":"https://huggingface.co/iara-project/e5-large-matryoshka-sts-pt","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514.0,"releaseDate":"2026-03-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Portuguese"],"citation":"\n@misc{okamura2026multilingualaveragesmtebptbenchmark,\n archiveprefix = {arXiv},\n author = {Lucas Hideki Takeuchi Okamura and Alexandre Alcoforado and Anna Helena Reali Costa},\n eprint = {2607.04071},\n primaryclass = {cs.CL},\n title = {Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders},\n url = {https://arxiv.org/abs/2607.04071},\n year = {2026},\n}\n","memoryUsageMb":2136.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Assin2STS","SICK-BR-STS","STSBenchmarkMultilingualSTS"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.194531},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":343,"model":{"name":"thenlper/gte-base-zh","url":"https://huggingface.co/thenlper/gte-base-zh","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-11-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":195.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6636295416100998,"CovidRetrieval":0.7574},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":344,"model":{"name":"sensenova/piccolo-base-zh","url":"https://huggingface.co/sensenova/piccolo-base-zh","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-09-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":null,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6645779474032288,"CovidRetrieval":0.84503},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":345,"model":{"name":"thenlper/gte-large-zh","url":"https://huggingface.co/thenlper/gte-large-zh","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-11-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":621.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.658563449629786,"CovidRetrieval":0.88405},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":346,"model":{"name":"BAAI/bge-small-zh-v1.5","url":"https://huggingface.co/BAAI/bge-small-zh-v1.5","zeroShotPct":100,"activeParamsB":0.023,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":512.0,"releaseDate":"2023-09-12","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":91.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.023,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.14894,"MIRACLRetrievalHardNegatives":0.06994555555555555,"CovidRetrieval":0.70137},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":347,"model":{"name":"shibing624/text2vec-base-chinese","url":"https://huggingface.co/shibing624/text2vec-base-chinese","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2022-01-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":390.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.09699,"MIRACLRetrievalHardNegatives":0.03608388888888889,"CovidRetrieval":0.44806},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":348,"model":{"name":"ai-forever/FRIDA","url":"https://huggingface.co/ai-forever/FRIDA","zeroShotPct":83,"activeParamsB":0.679,"totalParamsB":0.823,"embeddingDim":1536,"maxTokens":512.0,"releaseDate":"2024-12-29","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":3141.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"ai-forever/FRED-T5-1.7B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","CEDRClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","DBpediaClassification","EmotionClassification","FinancialPhrasebankClassification","FrenkEnClassification","GeoreviewClassification","GeoreviewClusteringP2P","HeadlineClassification","ImdbClassification","InappropriatenessClassification","KinopoiskClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCOHardNegatives","MTOPDomainClassification","MTOPIntentClassification","MasakhaNEWSClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MrTidyRetrieval","MultiHateClassification","MultilingualSentimentClassification","NQ","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","NewsClassification","NusaX-senti","PoemSentimentClassification","Quora-NL","QuoraRetrieval","RUParaPhraserSTS","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RuReviewsClassification","RuSciBenchGRNTIClassification","RuSciBenchOECDClassification","SIB200Classification","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","SensitiveTopicsClassification","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","ToxicChatClassification","ToxicConversationsClassification","TweetSentimentClassification","TweetSentimentExtractionClassification","TweetTopicSingleClassification","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","YelpReviewFullClassification"]},"zeroShotPct":83,"activeParamsB":0.679,"totalParamsB":0.823,"embeddingDim":1536,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.646387,"TERRa":0.664507,"RuBQReranking":0.770172},"scoresByCustomGroup":{},"trainedOnTasks":["CEDRClassification","MassiveIntentClassification"],"experiments":null},{"rank":349,"model":{"name":"iampanda/zpoint_large_embedding_zh","url":"https://huggingface.co/iampanda/zpoint_large_embedding_zh","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2024-06-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dunzhang/stella-mrl-large-zh-v3.5-1792d","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["DuRetrieval","MIRACLReranking","MIRACLRetrieval","MultiLongDocRetrieval","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6929054152015013,"CovidRetrieval":0.8914300000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":350,"model":{"name":"llm-semantic-router/mmbert-embed-32k-2d-matryoshka","url":"https://huggingface.co/llm-semantic-router/mmbert-embed-32k-2d-matryoshka","zeroShotPct":98,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":32768.0,"releaseDate":"2026-01-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Amharic","Asturian","Belarusian","Bengali","Bulgarian","Catalan","Cebuano","Central Kurdish","Chinese","Danish","English","Estonian","Finnish","French","Galician","German","Gujarati","Hebrew","Hindi","Italian","Japanese","Korean","Modern Greek (1453-)","North Azerbaijani","Russian","Thai","Ukrainian"],"citation":null,"memoryUsageMb":585.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"llm-semantic-router/mmbert-32k-yarn","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","CodeSearchNet","DuRetrieval","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","T2Reranking","T2Retrieval","mMARCO-NL"]},"zeroShotPct":98,"activeParamsB":0.11,"totalParamsB":0.307,"embeddingDim":768,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.195166},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":351,"model":{"name":"PORTULAN/serafim-900m-portuguese-pt-sentence-encoder","url":"https://huggingface.co/PORTULAN/serafim-900m-portuguese-pt-sentence-encoder","zeroShotPct":-1,"activeParamsB":0.688,"totalParamsB":0.885,"embeddingDim":1536,"maxTokens":512.0,"releaseDate":"2024-07-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Portuguese"],"citation":"\n@InProceedings{epia2024serafim,\n title={Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family},\n author={Luís Gomes and António Branco and João Silva and João Rodrigues and Rodrigo Santos},\n editor={Manuel Filipe Santos and José Machado and Paulo Novais and Paulo Cortez and Pedro Miguel Moreira},\n booktitle={Progress in Artificial Intelligence},\n doi={doi.org/10.1007/978-3-031-73503-5_22},\n year={2024},\n publisher={Springer Nature Switzerland},\n address={Cham},\n pages={267--279},\n isbn={978-3-031-73503-5}\n}\n","memoryUsageMb":3374.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.688,"totalParamsB":0.885,"embeddingDim":1536,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.134912},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":352,"model":{"name":"sergeyzh/BERTA","url":"https://huggingface.co/sergeyzh/BERTA","zeroShotPct":83,"activeParamsB":0.086,"totalParamsB":0.128,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-03-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":489.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sergeyzh/LaBSE-ru-turbo","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","ArxivClusteringP2P","ArxivClusteringP2P.v2","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","CEDRClassification","COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","DBpediaClassification","EmotionClassification","FinancialPhrasebankClassification","FrenkEnClassification","GeoreviewClassification","GeoreviewClusteringP2P","HeadlineClassification","ImdbClassification","InappropriatenessClassification","KinopoiskClassification","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCOHardNegatives","MTOPDomainClassification","MTOPIntentClassification","MasakhaNEWSClassification","MassiveIntentClassification","MassiveScenarioClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MrTidyRetrieval","MultiHateClassification","MultilingualSentimentClassification","NQ","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","NewsClassification","NusaX-senti","PoemSentimentClassification","Quora-NL","QuoraRetrieval","RUParaPhraserSTS","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RuReviewsClassification","RuSciBenchGRNTIClassification","RuSciBenchOECDClassification","SIB200Classification","STS12","STS22","STSBenchmark","STSBenchmarkMultilingualSTS","SensitiveTopicsClassification","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","ToxicChatClassification","ToxicConversationsClassification","TweetSentimentClassification","TweetSentimentExtractionClassification","TweetTopicSingleClassification","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","YelpReviewFullClassification"]},"zeroShotPct":83,"activeParamsB":0.086,"totalParamsB":0.128,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.730074,"TERRa":0.657363,"RuBQReranking":0.751605},"scoresByCustomGroup":{},"trainedOnTasks":["CEDRClassification","MassiveIntentClassification"],"experiments":null},{"rank":353,"model":{"name":"lier007/xiaobu-embedding-v2","url":"https://huggingface.co/lier007/xiaobu-embedding-v2","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-06-30","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sensenova/piccolo-base-zh","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6903398835347575,"CovidRetrieval":0.8939900000000001},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":354,"model":{"name":"TencentBAC/Conan-embedding-v1","url":"https://huggingface.co/TencentBAC/Conan-embedding-v1","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-08-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{li2024conanembeddinggeneraltextembedding,\n title={Conan-embedding: General Text Embedding with More and Better Negative Samples},\n author={Shiyu Li and Yang Tang and Shizhe Chen and Xi Chen},\n year={2024},\n eprint={2408.15710},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2408.15710},\n}","memoryUsageMb":1242.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6835595092507496,"CovidRetrieval":0.9235099999999999},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":355,"model":{"name":"iara-project/BERTimbau-large-matryoshka-sts-pt","url":"https://huggingface.co/iara-project/BERTimbau-large-matryoshka-sts-pt","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.334,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2026-03-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Portuguese"],"citation":"\n@misc{okamura2026multilingualaveragesmtebptbenchmark,\n archiveprefix = {arXiv},\n author = {Lucas Hideki Takeuchi Okamura and Alexandre Alcoforado and Anna Helena Reali Costa},\n eprint = {2607.04071},\n primaryclass = {cs.CL},\n title = {Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders},\n url = {https://arxiv.org/abs/2607.04071},\n year = {2026},\n}\n","memoryUsageMb":1276.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"neuralmind/bert-large-portuguese-cased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Assin2STS","SICK-BR-STS","STSBenchmarkMultilingualSTS"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.334,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.165381},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":356,"model":{"name":"spartan8806/atles-champion-embedding","url":"https://huggingface.co/spartan8806/atles-champion-embedding","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-11-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":420.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/all-mpnet-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["STSBenchmark"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS13":0.838976,"STS15":0.850932,"STS17":0.39667618181818187,"STS14":0.785658,"STSBenchmark":0.837359,"STS12":0.731998},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark"],"experiments":null},{"rank":357,"model":{"name":"DMetaSoul/sbert-chinese-general-v1","url":"https://huggingface.co/DMetaSoul/sbert-chinese-general-v1","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":128,"maxTokens":512.0,"releaseDate":"2022-03-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["PAWSX","PawsXPairClassification"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":128,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6514113035189213,"CovidRetrieval":0.39635},"scoresByCustomGroup":{},"trainedOnTasks":["PawsXPairClassification"],"experiments":null},{"rank":358,"model":{"name":"thenlper/gte-small-zh","url":"https://huggingface.co/thenlper/gte-small-zh","zeroShotPct":-1,"activeParamsB":0.019,"totalParamsB":0.03,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-11-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@article{li2023towards,\n title={Towards general text embeddings with multi-stage contrastive learning},\n author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},\n journal={arXiv preprint arXiv:2308.03281},\n year={2023}\n}","memoryUsageMb":58.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.019,"totalParamsB":0.03,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6538779931543048,"CovidRetrieval":0.61652},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":359,"model":{"name":"sbintuitions/sarashina-embedding-v2-1b","url":"https://huggingface.co/sbintuitions/sarashina-embedding-v2-1b","zeroShotPct":100,"activeParamsB":1.041,"totalParamsB":1.224,"embeddingDim":1792,"maxTokens":8192.0,"releaseDate":"2025-07-30","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":null,"memoryUsageMb":4669.0,"license":"https://huggingface.co/sbintuitions/sarashina-embedding-v2-1b/blob/main/LICENSE","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/sbintuitions/sarashina-embedding-v1-1b","adaptedFrom":"sbintuitions/sarashina2.2-1b","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MrTidyRetrieval","NQ"]},"zeroShotPct":100,"activeParamsB":1.041,"totalParamsB":1.224,"embeddingDim":1792,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.825639},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":360,"model":{"name":"sensenova/piccolo-large-zh-v2","url":"https://huggingface.co/sensenova/piccolo-large-zh-v2","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-04-22","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{2405.06932,\n Author = {Junqin Huang and Zhongjie Hu and Zihao Jing and Mengya Gao and Yichao Wu},\n Title = {Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training},\n Year = {2024},\n Eprint = {arXiv:2405.06932},\n}","memoryUsageMb":null,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6714759526113295,"CovidRetrieval":0.86777},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":361,"model":{"name":"openbmb/MiniCPM-Embedding","url":"https://huggingface.co/openbmb/MiniCPM-Embedding","zeroShotPct":-1,"activeParamsB":2.442,"totalParamsB":2.725,"embeddingDim":2304,"maxTokens":512.0,"releaseDate":"2024-09-04","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":5197.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":2.442,"totalParamsB":2.725,"embeddingDim":2304,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.6465000000000001,"SCIDOCS":0.2238,"TRECCOVID":0.8131999999999999,"CovidRetrieval":0.9201},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":362,"model":{"name":"dunzhang/stella-mrl-large-zh-v3.5-1792d","url":"https://huggingface.co/dunzhang/stella-large-zh-v3-1792d","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2024-02-27","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dunzhang/stella-large-zh-v3-1792d","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","Cmnli","DuRetrieval","LCQMC","Ocnli","PAWSX","STS-B"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6643391960680063,"CovidRetrieval":0.81867},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":363,"model":{"name":"Classical/Yinka","url":"https://huggingface.co/Classical/Yinka","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-01-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1244.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"dunzhang/stella-mrl-large-zh-v3.5-1792d","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6705266891356277,"CovidRetrieval":0.85946},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":364,"model":{"name":"DataScience-UIBK/uibk-embedding-v1","url":"https://huggingface.co/DataScience-UIBK/uibk-embedding-v1","zeroShotPct":99,"activeParamsB":0.14,"totalParamsB":0.179,"embeddingDim":128,"maxTokens":2048.0,"releaseDate":"2026-10-10","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":683.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning","adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["CQADupstackRetrieval","ClimateFEVER","DBPedia","FEVER","FiQA2018","HotpotQA","MSMARCO","NQ","QuoraRetrieval","SCIDOCS","SciFact","TRECDL2019","TRECDL2020"]},"zeroShotPct":99,"activeParamsB":0.14,"totalParamsB":0.179,"embeddingDim":128,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.56558,"SCIDOCS":0.23601,"TRECCOVID":0.83822,"LEMBPasskeyRetrieval":1.0},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":365,"model":{"name":"sergeyzh/rubert-mini-frida","url":"https://huggingface.co/sergeyzh/rubert-mini-frida","zeroShotPct":100,"activeParamsB":0.006,"totalParamsB":0.032,"embeddingDim":312,"maxTokens":2048.0,"releaseDate":"2025-03-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":123.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sergeyzh/rubert-mini-sts","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.006,"totalParamsB":0.032,"embeddingDim":312,"maxTokens":2048,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.570404,"TERRa":0.603584,"RuBQReranking":0.711186},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":366,"model":{"name":"lier007/xiaobu-embedding","url":"https://huggingface.co/lier007/xiaobu-embedding","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-01-09","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1244.0,"license":"not specified","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"thenlper/gte-large-zh","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.6659971552953814,"CovidRetrieval":0.87686},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":367,"model":{"name":"cl-nagoya/ruri-large","url":"https://huggingface.co/cl-nagoya/ruri-large","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-08-28","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":644.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-dataset-ft","adaptedFrom":"tohoku-nlp/bert-large-japanese-v2","supersededBy":"cl-nagoya/ruri-large-v2","extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.826613},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":368,"model":{"name":"iara-project/ModBERTBr-matryoshka-sts-pt","url":"https://huggingface.co/iara-project/ModBERTBr-matryoshka-sts-pt","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2026-04-01","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Portuguese"],"citation":"\n@misc{okamura2026multilingualaveragesmtebptbenchmark,\n archiveprefix = {arXiv},\n author = {Lucas Hideki Takeuchi Okamura and Alexandre Alcoforado and Anna Helena Reali Costa},\n eprint = {2607.04071},\n primaryclass = {cs.CL},\n title = {Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders},\n url = {https://arxiv.org/abs/2607.04071},\n year = {2026},\n}\n","memoryUsageMb":517.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"wallacelw/ModBERTBr","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Assin2STS","SICK-BR-STS","STSBenchmarkMultilingualSTS"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.171143},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":368,"model":{"name":"cl-nagoya/ruri-v3-310m","url":"https://huggingface.co/cl-nagoya/ruri-v3-310m","zeroShotPct":99,"activeParamsB":0.236,"totalParamsB":0.315,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":1200.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-v3-dataset-ft","adaptedFrom":"sbintuitions/modernbert-ja-310m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MIRACLRetrieval","MrTidyRetrieval"]},"zeroShotPct":99,"activeParamsB":0.236,"totalParamsB":0.315,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.779667},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":370,"model":{"name":"rufimelo/Legal-BERTimbau-sts-large-ma-v3","url":"https://huggingface.co/rufimelo/Legal-BERTimbau-sts-large-ma-v3","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.334,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2022-09-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Portuguese"],"citation":null,"memoryUsageMb":1276.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["Assin2STS","STSBenchmarkMultilingualSTS"]},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.334,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"BrazilianToxicTweetsClassification":0.162939},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":371,"model":{"name":"cl-nagoya/ruri-large-v2","url":"https://huggingface.co/cl-nagoya/ruri-large-v2","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-12-06","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":1287.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-dataset-v2-ft","adaptedFrom":"tohoku-nlp/bert-large-japanese-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.826328},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":372,"model":{"name":"sbintuitions/sarashina-embedding-v1-1b","url":"https://huggingface.co/sbintuitions/sarashina-embedding-v1-1b","zeroShotPct":100,"activeParamsB":1.041,"totalParamsB":1.224,"embeddingDim":1792,"maxTokens":8192.0,"releaseDate":"2024-11-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":null,"memoryUsageMb":4669.0,"license":"https://huggingface.co/sbintuitions/sarashina-embedding-v1-1b/blob/main/LICENSE","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/sbintuitions/sarashina-embedding-v1-1b","adaptedFrom":"sbintuitions/sarashina2.1-1b","supersededBy":"sbintuitions/sarashina-embedding-v2-1b","extraRequirementsGroups":null,"trainingDatasets":["MrTidyRetrieval","NQ"]},"zeroShotPct":100,"activeParamsB":1.041,"totalParamsB":1.224,"embeddingDim":1792,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.795427},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":373,"model":{"name":"consciousAI/cai-stellaris-text-embeddings","url":"https://huggingface.co/consciousAI/cai-stellaris-text-embeddings","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":514.0,"releaseDate":"2023-06-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"/root/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v1/","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":768,"maxTokens":514,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SprintDuplicateQuestions":0.932290998979669,"ArguAna":0.47288,"ToxicConversationsClassification":0.6356720000000001,"TwitterURLCorpus":0.834893468701264},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":374,"model":{"name":"cl-nagoya/ruri-v3-130m","url":"https://huggingface.co/cl-nagoya/ruri-v3-130m","zeroShotPct":99,"activeParamsB":0.08,"totalParamsB":0.132,"embeddingDim":512,"maxTokens":8192.0,"releaseDate":"2025-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":504.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-v3-dataset-ft","adaptedFrom":"sbintuitions/modernbert-ja-130m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MIRACLRetrieval","MrTidyRetrieval"]},"zeroShotPct":99,"activeParamsB":0.08,"totalParamsB":0.132,"embeddingDim":512,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.739314},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":375,"model":{"name":"cl-nagoya/ruri-base","url":"https://huggingface.co/cl-nagoya/ruri-base","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.111,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-08-28","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":212.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-dataset-ft","adaptedFrom":"tohoku-nlp/bert-base-japanese-v3","supersededBy":"cl-nagoya/ruri-base-v2","extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.111,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.829333},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":376,"model":{"name":"cl-nagoya/ruri-v3-70m","url":"https://huggingface.co/cl-nagoya/ruri-v3-70m","zeroShotPct":99,"activeParamsB":0.031,"totalParamsB":0.07,"embeddingDim":256,"maxTokens":8192.0,"releaseDate":"2025-04-09","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":140.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-v3-dataset-ft","adaptedFrom":"sbintuitions/modernbert-ja-70m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MIRACLRetrieval","MrTidyRetrieval"]},"zeroShotPct":99,"activeParamsB":0.031,"totalParamsB":0.07,"embeddingDim":256,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.758486},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":377,"model":{"name":"cl-nagoya/ruri-base-v2","url":"https://huggingface.co/cl-nagoya/ruri-base-v2","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.111,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-12-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":424.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-dataset-v2-ft","adaptedFrom":"tohoku-nlp/bert-base-japanese-v3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.111,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.8276},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":378,"model":{"name":"NGA-KR/ja-embed-sts","url":"https://huggingface.co/NGA-KR/ja-embed-sts","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2026-09-15","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":null,"memoryUsageMb":1287.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"cl-nagoya/ruri-large-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["JSICK","JSTS"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.337,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.851059},"scoresByCustomGroup":{},"trainedOnTasks":["JSICK"],"experiments":null},{"rank":379,"model":{"name":"deepvk/USER2-base","url":"https://huggingface.co/collections/deepvk/user2-6802650d7210f222ec60e05f","zeroShotPct":95,"activeParamsB":null,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-04-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/BlessedTatonka/some_code/tree/2899f27d51efdf4217fc6453799ff197e9792f1e","publicTrainingData":null,"adaptedFrom":"deepvk/RuModernBERT-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","CMedQAv1-reranking","CMedQAv2-reranking","COIRCodeSearchNetRetrieval","CodeSearchNet","CodeSearchNetCCRetrieval","DuRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","T2Reranking","T2Retrieval","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":95,"activeParamsB":null,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.440489,"TERRa":0.563827,"RuBQReranking":0.697326},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":380,"model":{"name":"nlpai-lab/KoE5","url":"https://huggingface.co/nlpai-lab/KoE5","zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-09-24","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":2136.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/nlpai-lab/ko-triplet-v1.0","adaptedFrom":"intfloat/multilingual-e5-large","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.304,"totalParamsB":0.56,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.8444949090909091,"SIB200ClusteringS2S":0.30387086294416243,"PawsXPairClassification":0.5730350714285715},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":381,"model":{"name":"cl-nagoya/ruri-v3-30m","url":"https://huggingface.co/cl-nagoya/ruri-v3-30m","zeroShotPct":100,"activeParamsB":0.01,"totalParamsB":0.037,"embeddingDim":256,"maxTokens":8192.0,"releaseDate":"2025-04-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":"@misc{Ruri,\n title={{Ruri: Japanese General Text Embeddings}},\n author={Hayato Tsukagoshi and Ryohei Sasano},\n year={2024},\n eprint={2409.07737},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2409.07737},\n}","memoryUsageMb":140.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/cl-nagoya/ruri-v3-dataset-ft","adaptedFrom":"sbintuitions/modernbert-ja-30m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["cl-nagoya/ruri-v3-dataset-ft"]},"zeroShotPct":100,"activeParamsB":0.01,"totalParamsB":0.037,"embeddingDim":256,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.813979},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":384,"model":{"name":"telepix/PIXIE-Rune-v1.5","url":"https://huggingface.co/telepix/PIXIE-Rune-v1.5","zeroShotPct":-1,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2026-04-22","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":2166.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Snowflake/snowflake-arctic-embed-l-v2.0","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.797804,"SIB200ClusteringS2S":0.2617786497461929,"PawsXPairClassification":0.5674641428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":385,"model":{"name":"deepvk/USER2-small","url":"https://huggingface.co/collections/deepvk/user2-6802650d7210f222ec60e05f","zeroShotPct":95,"activeParamsB":null,"totalParamsB":0.034,"embeddingDim":384,"maxTokens":8192.0,"releaseDate":"2025-04-19","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":131.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/BlessedTatonka/some_code/tree/2899f27d51efdf4217fc6453799ff197e9792f1e","publicTrainingData":null,"adaptedFrom":"deepvk/RuModernBERT-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonCounterfactualClassification","AmazonPolarityClassification","AmazonReviewsClassification","CMedQAv1-reranking","CMedQAv2-reranking","COIRCodeSearchNetRetrieval","CodeSearchNet","CodeSearchNetCCRetrieval","DuRetrieval","FEVER","FEVER-NL","FEVERHardNegatives","FQuADRetrieval","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","NanoQuoraRetrieval","Quora-NL","QuoraRetrieval","RedditClustering","RedditClustering.v2","RedditClusteringP2P","RedditClusteringP2P.v2","StackExchangeClustering.v2","StackExchangeClusteringP2P.v2","T2Reranking","T2Retrieval","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual","YahooAnswersTopicsClassification","mMARCO-NL"]},"zeroShotPct":95,"activeParamsB":null,"totalParamsB":0.034,"embeddingDim":384,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.394368,"TERRa":0.540227,"RuBQReranking":0.660337},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":386,"model":{"name":"nlpai-lab/KURE-v1","url":"https://huggingface.co/nlpai-lab/KURE-v1","zeroShotPct":-1,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-12-18","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":2166.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.8143935454545453,"SIB200ClusteringS2S":0.2897992893401015,"PawsXPairClassification":0.5507290714285714},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":387,"model":{"name":"dragonkue/snowflake-arctic-embed-l-v2.0-ko","url":"https://huggingface.co/dragonkue/snowflake-arctic-embed-l-v2.0-ko","zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2025-03-07","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":2166.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Snowflake/snowflake-arctic-embed-l-v2.0","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.789242909090909,"SIB200ClusteringS2S":0.26698301522842643,"PawsXPairClassification":0.5637945},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":389,"model":{"name":"dragonkue/BGE-m3-ko","url":"https://huggingface.co/dragonkue/BGE-m3-ko","zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192.0,"releaseDate":"2024-09-17","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":2166.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"BAAI/bge-m3","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":98,"activeParamsB":0.312,"totalParamsB":0.568,"embeddingDim":1024,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.8107563636363636,"SIB200ClusteringS2S":0.2556539289340102,"PawsXPairClassification":0.5475804999999999},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":392,"model":{"name":"NbAiLab/nb-bert-large","url":"https://huggingface.co/NbAiLab/nb-bert-large","zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.355,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2021-04-29","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Norwegian Bokmål","Norwegian Nynorsk"],"citation":null,"memoryUsageMb":1359.0,"license":"cc-by-4.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/NbAiLab/nb-bert-large#training-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.304,"totalParamsB":0.355,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"NordicLangClassification":0.8527333333333333,"BornholmBitextMining":0.04530713061982502,"DalajClassification":0.509009009009009},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":393,"model":{"name":"lightonai/GTE-ModernColBERT-v1","url":"https://huggingface.co/lightonai/GTE-ModernColBERT-v1","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2025-04-30","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/gte_modern_colbert.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/ms-marco-en-bge-gemma","adaptedFrom":"Alibaba-NLP/gte-modernbert-base","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["CodeSearchNet","CornStack","DBPedia","DBPediaHardNegatives.v2","FEVER","HotpotQA","HotpotQAHardNegatives","MSMARCO","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoDBPediaRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","TRECDL2019","TRECDL2020"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.4752,"SCIDOCS":0.19219,"TRECCOVID":0.84835,"LEMBPasskeyRetrieval":0.965},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":394,"model":{"name":"MongoDB/mdbr-leaf-ir","url":"https://huggingface.co/MongoDB/mdbr-leaf-ir","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-08-27","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{mdbr_leaf,\n title={LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations},\n author={Robin Vujanic and Thomas Rueckstiess},\n year={2025},\n eprint={2509.12539},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2509.12539}\n}","memoryUsageMb":86.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"nreimers/MiniLM-L6-H384-uncased","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonQA","FEVER","FEVER-NL","FEVERHardNegatives","HotPotQA","HotPotQA-PL","HotPotQAHardNegatives","HotpotQA-NL","LoTTE","NQ","NQ-NL","NQ-PL","NQHardNegatives"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.59384,"AILAStatutes":0.25553,"SCIDOCS":0.19772,"TRECCOVID":0.81966},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":395,"model":{"name":"moka-ai/m3e-base","url":"https://huggingface.co/moka-ai/m3e-base","zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-06-06","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":390.0,"license":"https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%9C-license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","BQ","DuRetrieval","LCQMC","MIRACLReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.086,"totalParamsB":0.102,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.66422},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":396,"model":{"name":"NbAiLab/nb-bert-base","url":"https://huggingface.co/NbAiLab/nb-bert-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.178,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2021-01-13","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Norwegian Bokmål","Norwegian Nynorsk"],"citation":null,"memoryUsageMb":681.0,"license":"cc-by-4.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/NbAiLab/nb-bert-base#training-data","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.178,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"NordicLangClassification":0.8468666666666668,"BornholmBitextMining":0.09876539201539201,"DalajClassification":0.5032657657657659},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":397,"model":{"name":"BorisTM/starse","url":"https://huggingface.co/BorisTM/starse","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.062,"embeddingDim":512,"maxTokens":null,"releaseDate":"2026-06-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":8.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/BlessedTatonka/StaRSE","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.062,"embeddingDim":512,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CEDRClassification":0.413921,"TERRa":0.525012,"RuBQReranking":0.54341},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":398,"model":{"name":"jhu-clsp/FollowIR-7B","url":"https://huggingface.co/jhu-clsp/FollowIR-7B","zeroShotPct":100,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":null,"maxTokens":null,"releaseDate":"2024-04-29","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"\n @misc{weller2024followir,\n title={FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},\n author={Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},\n year={2024},\n eprint={2403.15246},\n archivePrefix={arXiv},\n primaryClass={cs.IR}\n }\n ","memoryUsageMb":13813.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":6.98,"totalParamsB":7.111,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.12152557090026156},"scoresByTask":{"Robust04InstructionRetrieval":0.13717553757582254,"News21InstructionRetrieval":0.06261598925651,"Core17InstructionRetrieval":0.16478518586845212},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":399,"model":{"name":"Kingsoft-LLM/QZhou-Embedding-Zh","url":"http://huggingface.co/Kingsoft-LLM/QZhou-Embedding-Zh","zeroShotPct":100,"activeParamsB":6.953,"totalParamsB":7.576,"embeddingDim":1792,"maxTokens":8192.0,"releaseDate":"2025-09-28","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{yu2025qzhouembeddingtechnicalreport,\n title={QZhou-Embedding Technical Report},\n author={Peng Yu and En Xu and Bin Chen and Haibiao Chen and Yinfei Xu},\n year={2025},\n eprint={2508.21632},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2508.21632},\n}","memoryUsageMb":29431.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["LCQMC","PAWSX"]},"zeroShotPct":100,"activeParamsB":6.953,"totalParamsB":7.576,"embeddingDim":1792,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.8997824999999999,"T2Reranking":0.68266,"CovidRetrieval":0.93456},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":401,"model":{"name":"IEITYuan/Yuan-embedding-2.0-zh","url":"https://huggingface.co/IEITYuan/Yuan-embedding-2.0-zh","zeroShotPct":99,"activeParamsB":0.306,"totalParamsB":0.327,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2025-11-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","DuRetrieval","MMarcoReranking","T2Reranking","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.306,"totalParamsB":0.327,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.8356574999999999,"T2Reranking":0.71139,"CovidRetrieval":0.95218},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":402,"model":{"name":"dragonkue/multilingual-e5-small-ko","url":"https://huggingface.co/dragonkue/multilingual-e5-small-ko","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2025-05-11","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-small","supersededBy":"dragonkue/multilingual-e5-small-ko-v2","extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.7598264545454545,"SIB200ClusteringS2S":0.2527973147208122,"PawsXPairClassification":0.5246671428571429},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":403,"model":{"name":"dragonkue/multilingual-e5-small-ko-v2","url":"https://huggingface.co/dragonkue/multilingual-e5-small-ko-v2","zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2025-06-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Korean"],"citation":null,"memoryUsageMb":449.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"intfloat/multilingual-e5-small","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.022,"totalParamsB":0.118,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.7569711818181818},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":404,"model":{"name":"tencent/Youtu-Embedding","url":"https://huggingface.co/tencent/Youtu-Embedding","zeroShotPct":99,"activeParamsB":2.41,"totalParamsB":2.673,"embeddingDim":2048,"maxTokens":8192.0,"releaseDate":"2025-09-28","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{zhang2025codiemb,\n title={CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity},\n author={Zhang, Bowen and Song, Zixin and Chen, Chunquan and Zhang, Qian-Wen and Yin, Di and Sun, Xing},\n year={2025},\n eprint={2508.11442},\n archivePrefix={arXiv},\n url={https://arxiv.org/abs/2508.11442},\n}","memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","CMedQAv1-reranking","CMedQAv2-reranking","CmedqaRetrieval","Cmnli","DuRetrieval","LCQMC","MMarcoReranking","Ocnli","PAWSX","STS-B","T2Reranking","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":2.41,"totalParamsB":2.673,"embeddingDim":2048,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.731538,"CovidRetrieval":0.91935},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":405,"model":{"name":"moka-ai/m3e-large","url":"https://huggingface.co/moka-ai/m3e-large","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-06-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English"],"citation":null,"memoryUsageMb":null,"license":"https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%9C-license","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AmazonReviewsClassification","BQ","DuRetrieval","LCQMC","MIRACLReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.61329},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":408,"model":{"name":"richinfoai/ritrieve_zh_v1","url":"https://huggingface.co/richinfoai/ritrieve_zh_v1","zeroShotPct":91,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512.0,"releaseDate":"2025-03-25","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","AmazonCounterfactualClassification","AmazonReviewsClassification","ArguAna","ArguAna-NL","ArxivClusteringP2P","ArxivClusteringS2S","BQ","Banking77Classification","BiorxivClusteringP2P","BiorxivClusteringP2P.v2","BiorxivClusteringS2S","BiorxivClusteringS2S.v2","CMedQAv1-reranking","CMedQAv2-reranking","Cmnli","CodeSearchNet","DuRetrieval","EmotionClassification","FEVER","FEVER-NL","FiQA2018","FiQA2018-NL","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","ImdbClassification","LCQMC","LeCaRDv2","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MTOPIntentClassification","MedrxivClusteringP2P","MedrxivClusteringP2P.v2","MedrxivClusteringS2S","MedrxivClusteringS2S.v2","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","Ocnli","PAWSX","RedditClustering","RedditClustering.v2","RedditClusteringP2P","STS-B","STS22","STS22.v2","STSBenchmark","SciDocsReranking","StackOverflowDupQuestions","T2Reranking","T2Retrieval","ToxicConversationsClassification","TweetSentimentExtractionClassification","TwentyNewsgroupsClustering","TwentyNewsgroupsClustering.v2","mMARCO-NL"]},"zeroShotPct":91,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":1792,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.684737,"CovidRetrieval":0.92318},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":409,"model":{"name":"google/flan-t5-large","url":"https://huggingface.co/google/flan-t5-large","zeroShotPct":100,"activeParamsB":0.75,"totalParamsB":0.783,"embeddingDim":null,"maxTokens":null,"releaseDate":"2022-10-21","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{10.48550/arxiv.2210.11416,\n doi = {10.48550/ARXIV.2210.11416},\n url = {https://arxiv.org/abs/2210.11416},\n author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},\n keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},\n title = {Scaling Instruction-Finetuned Language Models},\n publisher = {arXiv},\n year = {2022},\n copyright = {Creative Commons Attribution 4.0 International}\n }\n ","memoryUsageMb":2987.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.75,"totalParamsB":0.783,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.04720188792468296},"scoresByTask":{"Robust04InstructionRetrieval":0.038963182554656986,"News21InstructionRetrieval":0.08948218543599191,"Core17InstructionRetrieval":0.013160295783399964},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":410,"model":{"name":"castorini/monot5-3b-msmarco-10k","url":"https://huggingface.co/castorini/monot5-3b-msmarco-10k","zeroShotPct":-1,"activeParamsB":2.917,"totalParamsB":2.95,"embeddingDim":null,"maxTokens":null,"releaseDate":"2022-03-28","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{rosa2022parameterleftbehinddistillation,\n title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},\n author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},\n year={2022},\n eprint={2206.02873},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2206.02873},\n }","memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":2.917,"totalParamsB":2.95,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.02526446293183679},"scoresByTask":{"Robust04InstructionRetrieval":0.03963470657665921,"News21InstructionRetrieval":0.01777758269920985,"Core17InstructionRetrieval":0.0183810995196413},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":411,"model":{"name":"qihoo360/Zhinao-ChineseModernBert-Embedding","url":"https://huggingface.co/qihoo360/Zhinao-ChineseModernBert-Embedding","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.227,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2026-03-18","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":866.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","CMedQAv2","Cmnli","DuRetrieval","JDReview","LCQMC","MMarco","Ocnli","PAWSX","STS-B","T2Retrieval","ThuNEWS"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.227,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.68145,"CovidRetrieval":0.84162},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":413,"model":{"name":"Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2","url":"https://huggingface.co/Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":768.0,"releaseDate":"2024-07-28","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":true,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic"],"citation":"\n @article{nacar2025gate,\n title={GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training},\n author={Nacar, Omer and Koubaa, Anis and Sibaee, Serry and Al-Habashi, Yasser and Ammar, Adel and Boulila, Wadii},\n journal={arXiv preprint arXiv:2505.24581},\n year={2025}\n}","memoryUsageMb":516.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"akhooli/arabic-triplets-1m-curated-sims-len","adaptedFrom":"aubmindlab/bert-base-arabertv02","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.135,"embeddingDim":768,"maxTokens":768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STS17":0.2997203636363637,"STS22.v2":0.3665317777777778},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":414,"model":{"name":"KBLab/sentence-bert-swedish-cased","url":"https://huggingface.co/KBLab/sentence-bert-swedish-cased","zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.125,"embeddingDim":768,"maxTokens":384.0,"releaseDate":"2023-01-11","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Swedish"],"citation":null,"memoryUsageMb":476.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/all-mpnet-base-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.086,"totalParamsB":0.125,"embeddingDim":768,"maxTokens":384,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"NordicLangClassification":0.5144666666666666,"BornholmBitextMining":0.1408286249981902,"DalajClassification":0.5011261261261262},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":418,"model":{"name":"BAAI/bge-large-zh","url":"https://huggingface.co/BAAI/bge-large-zh","zeroShotPct":100,"activeParamsB":0.313,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2023-08-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"BAAI/bge-large-zh-v1.5","extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.313,"totalParamsB":0.335,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.74055},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":419,"model":{"name":"lightonai/DenseOn","url":"https://huggingface.co/lightonai/DenseOn","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-04-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/finetune/english_dense.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning","adaptedFrom":"lightonai/DenseOn-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CQADupstackRetrieval","ClimateFEVER","DBPedia","FEVER","FiQA2018","HotpotQA","MSMARCO","NQ","QuoraRetrieval","SCIDOCS","SciFact","TRECDL2019","TRECDL2020"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.54653,"SCIDOCS":0.22349,"TRECCOVID":0.82328},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":420,"model":{"name":"BeastyZ/e5-R-mistral-7b","url":"https://huggingface.co/BeastyZ/e5-R-mistral-7b","zeroShotPct":99,"activeParamsB":7.111,"totalParamsB":7.242,"embeddingDim":4096,"maxTokens":32768.0,"releaseDate":"2024-06-28","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":27625.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/LeeSureman/E5-Retrieval-Reproduction","publicTrainingData":"https://huggingface.co/datasets/BeastyZ/E5-R","adaptedFrom":"intfloat/e5-mistral-7b-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FEVER-NL","FEVER-PL","FEVERHardNegatives","HotpotQA","HotpotQA-NL","HotpotQA-PL","HotpotQAHardNegatives","MIRACLReranking","MIRACLRetrieval","MIRACLRetrievalHardNegatives","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","MrTidyRetrieval","NQ","NQ-NL","NQ-PL","NQHardNegatives","NanoMSMARCORetrieval","NanoNQRetrieval","XQuADRetrieval","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":7.111,"totalParamsB":7.242,"embeddingDim":4096,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.58994,"SCIDOCS":0.1926,"TRECCOVID":0.84399},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":421,"model":{"name":"BAAI/bge-base-zh","url":"https://huggingface.co/BAAI/bge-base-zh","zeroShotPct":100,"activeParamsB":0.093,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2023-08-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":390.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"BAAI/bge-base-zh-v1.5","extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.093,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.72073},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":422,"model":{"name":"google/flan-t5-base","url":"https://huggingface.co/google/flan-t5-base","zeroShotPct":100,"activeParamsB":0.223,"totalParamsB":0.248,"embeddingDim":null,"maxTokens":null,"releaseDate":"2022-10-21","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{10.48550/arxiv.2210.11416,\n doi = {10.48550/ARXIV.2210.11416},\n url = {https://arxiv.org/abs/2210.11416},\n author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},\n keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},\n title = {Scaling Instruction-Finetuned Language Models},\n publisher = {arXiv},\n year = {2022},\n copyright = {Creative Commons Attribution 4.0 International}\n }\n ","memoryUsageMb":944.0,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.223,"totalParamsB":0.248,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":0.0063862698895708996},"scoresByTask":{"Robust04InstructionRetrieval":0.05349047127814495,"News21InstructionRetrieval":-0.0012147147179908911,"Core17InstructionRetrieval":-0.03311694689144136},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":424,"model":{"name":"castorini/monot5-base-msmarco-10k","url":null,"zeroShotPct":-1,"activeParamsB":0.272,"totalParamsB":0.297,"embeddingDim":null,"maxTokens":null,"releaseDate":"2022-03-28","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":"@misc{rosa2022parameterleftbehinddistillation,\n title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},\n author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},\n year={2022},\n eprint={2206.02873},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2206.02873},\n }","memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.272,"totalParamsB":0.297,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"InstructionReranking":-0.01743121014896003},"scoresByTask":{"Robust04InstructionRetrieval":-0.06197010451829695,"News21InstructionRetrieval":0.05024292873676007,"Core17InstructionRetrieval":-0.0405664546653432},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":425,"model":{"name":"lightonai/LateOn","url":"https://huggingface.co/lightonai/LateOn","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-04-21","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/finetune/english_late_interaction.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning","adaptedFrom":"ightonai/LateOn-unsupervised","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["CQADupstackRetrieval","ClimateFEVER","DBPedia","FEVER","FiQA2018","HotpotQA","MSMARCO","NQ","QuoraRetrieval","SCIDOCS","SciFact","TRECDL2019","TRECDL2020"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.50515,"SCIDOCS":0.21897,"TRECCOVID":0.83596},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":426,"model":{"name":"petegordon/olmo3-embed-7b","url":"https://huggingface.co/petegordon/olmo3-embed-7b","zeroShotPct":100,"activeParamsB":6.477,"totalParamsB":6.887,"embeddingDim":4096,"maxTokens":512.0,"releaseDate":"2026-10-14","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13137.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/petegordon/olmo3-embed","publicTrainingData":"https://github.com/petegordon/olmo3-embed/blob/main/docs/data-card.md","adaptedFrom":"allenai/Olmo-3-1025-7B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FEVER","FiQA2018","HotpotQA","MSMARCO","NFCorpus","NQ","QuoraRetrieval","SciFact"]},"zeroShotPct":100,"activeParamsB":6.477,"totalParamsB":6.887,"embeddingDim":4096,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.57819,"SCIDOCS":0.23654,"TRECCOVID":0.63104},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":427,"model":{"name":"BAAI/bge-small-zh","url":"https://huggingface.co/BAAI/bge-small-zh","zeroShotPct":100,"activeParamsB":0.023,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":512.0,"releaseDate":"2023-08-05","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@misc{xiao2024cpackpackedresourcesgeneral,\n archiveprefix = {arXiv},\n author = {Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff and Defu Lian and Jian-Yun Nie},\n eprint = {2309.07597},\n primaryclass = {cs.CL},\n title = {C-Pack: Packed Resources For General Chinese Embeddings},\n url = {https://arxiv.org/abs/2309.07597},\n year = {2024},\n}\n","memoryUsageMb":127.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":"BAAI/bge-small-zh-v1.5","extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","Cmnli","DuRetrieval","HotpotQA","HotpotQA-PL","HotpotQAHardNegatives","MMarcoReranking","MSMARCO","MSMARCO-PL","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoMSMARCORetrieval","Ocnli","Quora-PL","Quora-PLHardNegatives","QuoraRetrieval","QuoraRetrieval-Fa","QuoraRetrievalHardNegatives","T2Retrieval"]},"zeroShotPct":100,"activeParamsB":0.023,"totalParamsB":0.033,"embeddingDim":512,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.68952},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":428,"model":{"name":"lightonai/DenseOn-unsupervised","url":"https://huggingface.co/lightonai/DenseOn-unsupervised","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-04-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/pretrain/english_dense.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-pre-training-curated","adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CQADupstackRetrieval","DBPedia","QuoraRetrieval","SCIDOCS","SciFact"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.54937,"SCIDOCS":0.23048,"TRECCOVID":0.68116},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":430,"model":{"name":"lightonai/ColBERT-Zero","url":"https://huggingface.co/lightonai/ColBERT-Zero","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-02-19","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{chaffin2026colbertzeropretrainpretraincolbert,\n title = {ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models},\n author = {Antoine Chaffin and Luca Arnaboldi and Amélie Chatelain and Florent Krzakala},\n year = {2026},\n eprint = {2602.16609},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2602.16609},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/ColBERT-zero/distillation.py","publicTrainingData":"lightonai/ms-marco-en-bge-gemma","adaptedFrom":"lightonai/ColBERT-Zero-supervised","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","FEVER","FEVERHardNegatives.v2","HotpotQA","HotpotQAHardNegatives.v2","MSMARCO","MSMARCOHardNegatives","MSMARCOv2","NQ","NQHardNegatives","NanoFEVERRetrieval","NanoHotpotQARetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","QuoraRetrieval"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.52815,"SCIDOCS":0.19836,"TRECCOVID":0.78271},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":431,"model":{"name":"lightonai/ColBERT-Zero-unsupervised","url":"https://huggingface.co/lightonai/ColBERT-Zero-unsupervised","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-02-19","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{chaffin2026colbertzeropretrainpretraincolbert,\n title = {ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models},\n author = {Antoine Chaffin and Luca Arnaboldi and Amélie Chatelain and Florent Krzakala},\n year = {2026},\n eprint = {2602.16609},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2602.16609},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/ColBERT-zero/unsupervised.py","publicTrainingData":"https://huggingface.co/datasets/nomic-ai/nomic-embed-unsupervised-data","adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","QuoraRetrieval"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.51236,"SCIDOCS":0.22235,"TRECCOVID":0.66974},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":432,"model":{"name":"litillabs/octen-law-8b-v1","url":"https://huggingface.co/litillabs/octen-law-8b-v1","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960.0,"releaseDate":"2026-08-25","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","German"],"citation":null,"memoryUsageMb":14433.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Octen/Octen-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["GerDaLIRSmall","LeCaRDv2","WikiQA"]},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.955,"LegalBenchCorporateLobbying":0.95849},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":433,"model":{"name":"litillabs/litil-embed-0.6b","url":"https://huggingface.co/litillabs/litil-embed-0.6b","zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-09-13","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","German"],"citation":null,"memoryUsageMb":1136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Octen/Octen-Embedding-0.6B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["GerDaLIRSmall","LeCaRDv2"]},"zeroShotPct":99,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.89527,"LegalBenchCorporateLobbying":0.95638},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":434,"model":{"name":"Hanno-Labs/dinghy-law-8b-v1","url":"https://huggingface.co/Hanno-Labs/dinghy-law-8b-v1","zeroShotPct":95,"activeParamsB":7.433,"totalParamsB":7.969,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2026-07-31","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","German"],"citation":null,"memoryUsageMb":15201.0,"license":"openmdw-1.1","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/Hanno-Labs/legal-retrieval-pairs-v2","adaptedFrom":"nvidia/Nemotron-3-Embed-8B-BF16","supersededBy":null,"extraRequirementsGroups":["nemotron-3-embed"],"trainingDatasets":["BillSumUS","GerDaLIR","GerDaLIRSmall"]},"zeroShotPct":95,"activeParamsB":7.433,"totalParamsB":7.969,"embeddingDim":4096,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.6272,"LegalBenchCorporateLobbying":0.96474},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":435,"model":{"name":"Hanno-Labs/dinghy-law-4b-v1","url":"https://huggingface.co/Hanno-Labs/dinghy-law-4b-v1","zeroShotPct":99,"activeParamsB":3.64,"totalParamsB":4.028,"embeddingDim":2560,"maxTokens":32768.0,"releaseDate":"2026-07-22","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","German"],"citation":null,"memoryUsageMb":7683.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/Hanno-Labs/legal-retrieval-pairs-v2","adaptedFrom":"Qwen/Qwen3-Embedding-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["BillSumUS","GerDaLIR","GerDaLIRSmall"]},"zeroShotPct":99,"activeParamsB":3.64,"totalParamsB":4.028,"embeddingDim":2560,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.78558,"LegalBenchCorporateLobbying":0.9539},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":436,"model":{"name":"mongodb/voyage-4-large (embed_dim=2048, evolved_prompts=True)","url":"https://blog.voyageai.com/2026/01/15/voyage-4/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"mongodb/voyage-4-large (embed_dim=2048)","supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.56128,"MIRACLRetrievalHardNegatives":0.6758266666666667},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":437,"model":{"name":"judicialmind/greenleaf-law-embed-tiny","url":"https://huggingface.co/judicialmind/greenleaf-law-embed-tiny","zeroShotPct":-1,"activeParamsB":0.441,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-08-22","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Bulgarian","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","German","Hebrew","Hindi","Hungarian","Indonesian","Italian","Japanese","Korean (Korean)","Latvian","Lithuanian","Malay (macrolanguage)","Modern Greek (1453-)","Norwegian","Polish","Portuguese","Romanian","Russian","Slovak","Slovenian","Spanish","Swedish","Thai","Turkish","Ukrainian","Vietnamese"],"citation":null,"memoryUsageMb":1136.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/judicialmind/legal-training-dataset","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.441,"totalParamsB":0.596,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.58786,"LegalBenchCorporateLobbying":0.95053},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":438,"model":{"name":"lightonai/LateOn-unsupervised","url":"https://huggingface.co/lightonai/LateOn","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-04-21","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{sourty2026denseonlateonfullyopen,\n title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search},\n author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain},\n year = {2026},\n eprint = {2607.27178},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2607.27178},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/mdenseon-mlateon/blob/main/scripts/pretrain/english_late_interaction.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-pre-training-curated","adaptedFrom":"answerdotai/ModernBERT-base","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["CQADupstackRetrieval","DBPedia","QuoraRetrieval","SCIDOCS","SciFact"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.4312,"SCIDOCS":0.21131,"TRECCOVID":0.69807},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":439,"model":{"name":"Octen/Octen-Embedding-8B-INT8","url":"https://huggingface.co/Octen/Octen-Embedding-8B-INT8","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-01-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":7217.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.9451,"MIRACLRetrievalHardNegatives":0.6258016666666667},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":440,"model":{"name":"Octen/Octen-Embedding-4B-INT8","url":"https://huggingface.co/Octen/Octen-Embedding-4B-INT8","zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":1024,"maxTokens":32768.0,"releaseDate":"2026-04-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":3836.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-4B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":3.634,"totalParamsB":4.022,"embeddingDim":1024,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.86682,"MIRACLRetrievalHardNegatives":0.6269083333333333},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":441,"model":{"name":"opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte","url":"https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte","zeroShotPct":100,"activeParamsB":0.113,"totalParamsB":0.137,"embeddingDim":30522,"maxTokens":8192.0,"releaseDate":"2025-06-18","modelType":"sparse","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":549.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample","publicTrainingData":"True","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["sparse-encoder"],"trainingDatasets":["FEVER","FIQA","HotpotQA","MSMARCO","NFCORPUS","SCIFACT"]},"zeroShotPct":100,"activeParamsB":0.113,"totalParamsB":0.137,"embeddingDim":30522,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.52084,"SCIDOCS":0.16732,"TRECCOVID":0.73335},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":442,"model":{"name":"lightonai/ColBERT-Zero-supervised","url":"https://huggingface.co/lightonai/ColBERT-Zero-supervised","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-02-19","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"@misc{chaffin2026colbertzeropretrainpretraincolbert,\n title = {ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models},\n author = {Antoine Chaffin and Luca Arnaboldi and Amélie Chatelain and Florent Krzakala},\n year = {2026},\n eprint = {2602.16609},\n archivePrefix = {arXiv},\n primaryClass = {cs.CL},\n url = {https://arxiv.org/abs/2602.16609},\n}","memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/ColBERT-zero/supervised.py","publicTrainingData":"https://huggingface.co/datasets/nomic-ai/nomic-embed-supervised","adaptedFrom":"lightonai/ColBERT-Zero-unsupervised","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["COIRCodeSearchNetRetrieval","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","FEVER","FEVERHardNegatives.v2","HotpotQA","HotpotQAHardNegatives.v2","MSMARCO","MSMARCOHardNegatives","MSMARCOv2","NQ","NQHardNegatives","NanoFEVERRetrieval","NanoHotpotQARetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","QuoraRetrieval"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.41839,"SCIDOCS":0.19904,"TRECCOVID":0.75582},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":443,"model":{"name":"Octen/octen-vl-embedding-large","url":"https://docs.octen.ai/api-reference/vl-embedding","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":4096,"maxTokens":32000.0,"releaseDate":"2026-05-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":4096,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.69377,"MIRACLRetrievalHardNegatives":0.6236838888888889},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":444,"model":{"name":"mongodb/voyage-4-large (embed_dim=2048)","url":"https://blog.voyageai.com/2026/01/15/voyage-4/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.50293,"MIRACLRetrievalHardNegatives":0.6314922222222222},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":445,"model":{"name":"opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill","url":"https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill","zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":30522,"maxTokens":512.0,"releaseDate":"2025-03-28","modelType":"sparse","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":267.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample","publicTrainingData":"True","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["sparse-encoder"],"trainingDatasets":["FEVER","FIQA","HotpotQA","MSMARCO","NFCORPUS","SCIFACT"]},"zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":30522,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.51909,"SCIDOCS":0.1627,"TRECCOVID":0.72258},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":446,"model":{"name":"dmedhi/PawanEmbd-68M","url":"https://huggingface.co/dmedhi/PawanEmbd-68M","zeroShotPct":96,"activeParamsB":0.004,"totalParamsB":0.068,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-12-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":260.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"ibm-granite/granite-embedding-278m-multilingual","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AllNLI"]},"zeroShotPct":96,"activeParamsB":0.004,"totalParamsB":0.068,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SprintDuplicateQuestions":0.7813,"STS17":0.2492858181818182,"STSBenchmark":0.734754},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":447,"model":{"name":"mixedbread-ai/mxbai-embed-xsmall-v1","url":"https://huggingface.co/mixedbread-ai/mxbai-embed-xsmall-v1","zeroShotPct":100,"activeParamsB":0.012,"totalParamsB":0.024,"embeddingDim":384,"maxTokens":512.0,"releaseDate":"2024-08-13","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":null,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"sentence-transformers/all-MiniLM-L6-v2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.012,"totalParamsB":0.024,"embeddingDim":384,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.49579999999999996,"SCIDOCS":0.215,"TRECCOVID":0.489},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":448,"model":{"name":"mongodb/voyage-4-large","url":"https://blog.voyageai.com/2026/01/15/voyage-4/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.50022,"MIRACLRetrievalHardNegatives":0.6212811111111112},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":449,"model":{"name":"mongodb/voyage-4","url":"https://blog.voyageai.com/2026/01/15/voyage-4/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.49913,"MIRACLRetrievalHardNegatives":0.6055716666666666},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":450,"model":{"name":"Octen/octen-vl-embedding","url":"https://docs.octen.ai/api-reference/vl-embedding","zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000.0,"releaseDate":"2026-05-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv2-reranking","CodeSearchNet","DuRetrieval","FEVER","HotpotQA","MIRACLRetrieval","MMarcoReranking","MSMARCO","MrTidyRetrieval","NQ","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":null,"embeddingDim":2048,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.69906,"MIRACLRetrievalHardNegatives":0.5624522222222222},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":451,"model":{"name":"Singaraj/sante-embed","url":"https://huggingface.co/Singaraj/sante-embed","zeroShotPct":100,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":512.0,"releaseDate":"2026-09-15","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Arabic","Chinese","English","French","Korean","Polish","Russian","Spanish","Vietnamese"],"citation":null,"memoryUsageMb":2944.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-Qwen2-1.5B-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["NFCorpus","SciFact"]},"zeroShotPct":100,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"TRECCOVID":0.81099,"MedrxivClusteringP2P.v2":0.43294},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":452,"model":{"name":"Cohere/Cohere-embed-v4.0","url":"https://docs.cohere.com/docs/cohere-embed","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000.0,"releaseDate":"2024-12-01","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["image","text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Assamese","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean (Korean)","Kurdish","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oriya (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Wolof","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.3485,"MIRACLRetrievalHardNegatives":0.639835},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":452,"model":{"name":"opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill","url":"https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill","zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":30522,"maxTokens":512.0,"releaseDate":"2024-07-17","modelType":"sparse","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":267.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample","publicTrainingData":"True","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["sparse-encoder"],"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.043,"totalParamsB":0.066,"embeddingDim":30522,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.49521,"SCIDOCS":0.16589,"TRECCOVID":0.68916},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":454,"model":{"name":"Cohere/Cohere-embed-v4.0 (output_dtype=int8)","url":"https://docs.cohere.com/docs/embeddings","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000.0,"releaseDate":"2024-12-01","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["image","text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Assamese","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean (Korean)","Kurdish","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oriya (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Wolof","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Cohere/Cohere-embed-v4.0","supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.34424,"MIRACLRetrievalHardNegatives":0.6404688888888889},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":454,"model":{"name":"opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini","url":"https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini","zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":30522,"maxTokens":512.0,"releaseDate":"2024-07-18","modelType":"sparse","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":86.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample","publicTrainingData":"True","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["sparse-encoder"],"trainingDatasets":["MSMARCO"]},"zeroShotPct":100,"activeParamsB":0.011,"totalParamsB":0.023,"embeddingDim":30522,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.47963,"SCIDOCS":0.16145,"TRECCOVID":0.70771},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":456,"model":{"name":"mongodb/voyage-4-lite","url":"https://blog.voyageai.com/2026/01/15/voyage-4/","zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000.0,"releaseDate":"2026-01-15","modelType":"dense","instructionTuned":true,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["voyageai"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1024,"maxTokens":32000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.48485,"MIRACLRetrievalHardNegatives":0.5711588888888889},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":457,"model":{"name":"Cohere/Cohere-embed-v4.0 (output_dtype=binary)","url":"https://docs.cohere.com/docs/embeddings","zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000.0,"releaseDate":"2024-12-01","modelType":"dense","instructionTuned":false,"openWeights":false,"openness":{"open weights":false,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":1,"sentenceTransformersCompatible":false,"modalities":["image","text"],"languages":["Afrikaans","Albanian","Amharic","Arabic","Armenian","Assamese","Azerbaijani","Basque","Belarusian","Bengali","Bosnian","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Corsican (Latin)","Croatian","Czech","Danish","Dutch","English","Esperanto","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hausa","Hawaiian (Latin)","Hebrew","Hindi","Hmong (Latin)","Hungarian","Icelandic","Igbo","Indonesian","Irish","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kinyarwanda","Kirghiz","Korean (Korean)","Kurdish","Lao","Latin","Latvian","Lithuanian","Luxembourgish","Macedonian","Malagasy (Latin)","Malay (macrolanguage)","Malayalam","Maltese","Maori","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Nyanja","Oriya (macrolanguage)","Panjabi","Persian","Polish","Portuguese","Romanian","Russian","Samoan","Scottish Gaelic","Serbian","Shona","Sinhala","Slovak","Slovenian","Somali","Southern Sotho","Spanish","Sundanese","Swahili (macrolanguage)","Swedish","Tagalog","Tajik","Tamil","Tatar","Telugu","Thai","Tibetan","Turkish","Turkmen","Uighur","Ukrainian","Urdu","Uzbek","Vietnamese","Welsh","Western Frisian","Wolof","Xhosa","Yiddish","Yoruba","Zulu"],"citation":null,"memoryUsageMb":null,"license":null,"publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Cohere/Cohere-embed-v4.0","supersededBy":null,"extraRequirementsGroups":["cohere"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":null,"totalParamsB":null,"embeddingDim":1536,"maxTokens":128000,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.36729,"MIRACLRetrievalHardNegatives":0.5964994444444445},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":458,"model":{"name":"NeuML/pubmedbert-base-embeddings-2M","url":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-2M","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":64,"maxTokens":null,"releaseDate":"2025-01-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":7.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-2M#training","publicTrainingData":"https://pubmed.ncbi.nlm.nih.gov/download/","adaptedFrom":"NeuML/pubmedbert-base-embeddings","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.0369075,"TRECCOVID":0.36574,"MedrxivClusteringP2P.v2":0.353868},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":459,"model":{"name":"NeuML/pubmedbert-base-embeddings-1M","url":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-1M","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.001,"embeddingDim":64,"maxTokens":null,"releaseDate":"2025-01-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":2.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-1M#training","publicTrainingData":"https://pubmed.ncbi.nlm.nih.gov/download/","adaptedFrom":"NeuML/pubmedbert-base-embeddings","supersededBy":null,"extraRequirementsGroups":["model2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.001,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.016198999999999998,"TRECCOVID":0.37322,"MedrxivClusteringP2P.v2":0.35071},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":460,"model":{"name":"NeuML/pubmedbert-base-embeddings-8M","url":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-8M","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"releaseDate":"2025-01-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":30.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-8M#training","publicTrainingData":"https://pubmed.ncbi.nlm.nih.gov/download/","adaptedFrom":"NeuML/pubmedbert-base-embeddings","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.008,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.036564,"TRECCOVID":0.39843,"MedrxivClusteringP2P.v2":0.346056},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":462,"model":{"name":"NeuML/pubmedbert-base-embeddings-500K","url":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-500K","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.001,"embeddingDim":64,"maxTokens":null,"releaseDate":"2025-01-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":2.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-500K#training","publicTrainingData":"https://pubmed.ncbi.nlm.nih.gov/download/","adaptedFrom":"NeuML/pubmedbert-base-embeddings","supersededBy":null,"extraRequirementsGroups":["model2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.001,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.016634999999999997,"TRECCOVID":0.3537,"MedrxivClusteringP2P.v2":0.342516},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":463,"model":{"name":"amgix/static-retrieval-multilingual-69m-v1","url":"https://huggingface.co/amgix/static-retrieval-multilingual-69m-v1","zeroShotPct":96,"activeParamsB":0.0,"totalParamsB":0.069,"embeddingDim":384,"maxTokens":null,"releaseDate":"2026-08-16","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":[],"citation":null,"memoryUsageMb":274.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"ibm-granite/granite-embedding-97m-multilingual-r2","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["FiQA2018","MSMARCO"]},"zeroShotPct":96,"activeParamsB":0.0,"totalParamsB":0.069,"embeddingDim":384,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.21002,"MIRACLRetrievalHardNegatives":0.34251111111111116},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":465,"model":{"name":"minishlab/M2V_multilingual_output","url":"https://huggingface.co/minishlab/M2V_multilingual_output","zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.128,"embeddingDim":256,"maxTokens":null,"releaseDate":"2024-09-21","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":489.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":null,"adaptedFrom":"sentence-transformers/LaBSE","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.128,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.15261,"MIRACLRetrievalHardNegatives":0.1306188888888889},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":467,"model":{"name":"OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0","url":"https://huggingface.co/OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0","zeroShotPct":99,"activeParamsB":0.322,"totalParamsB":0.343,"embeddingDim":1536,"maxTokens":512.0,"releaseDate":"2025-03-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CmedqaRetrieval","CovidRetrieval","DuRetrieval","EcomRetrieval","MMarcoRetrieval","MedicalRetrieval","T2Retrieval","VideoRetrieval"]},"zeroShotPct":99,"activeParamsB":0.322,"totalParamsB":0.343,"embeddingDim":1536,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.932},"scoresByCustomGroup":{},"trainedOnTasks":["CovidRetrieval"],"experiments":null},{"rank":469,"model":{"name":"OpenSearch-AI/Ops-MoA-Conan-embedding-v1","url":"https://huggingface.co/OpenSearch-AI/Ops-MoA-Conan-embedding-v1","zeroShotPct":99,"activeParamsB":0.322,"totalParamsB":0.343,"embeddingDim":1536,"maxTokens":512.0,"releaseDate":"2025-03-26","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1308.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CmedqaRetrieval","CovidRetrieval","DuRetrieval","EcomRetrieval","MMarcoRetrieval","MedicalRetrieval","T2Retrieval","VideoRetrieval"]},"zeroShotPct":99,"activeParamsB":0.322,"totalParamsB":0.343,"embeddingDim":1536,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.92664},"scoresByCustomGroup":{},"trainedOnTasks":["CovidRetrieval"],"experiments":null},{"rank":470,"model":{"name":"ByteDance/ListConRanker","url":"https://huggingface.co/ByteDance/ListConRanker","zeroShotPct":99,"activeParamsB":null,"totalParamsB":0.401,"embeddingDim":1024,"maxTokens":512.0,"releaseDate":"2024-12-11","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":"@article{liu2025listconranker,\n title={ListConRanker: A Contrastive Text Reranker with Listwise Encoding},\n author={Liu, Junlong and Ma, Yue and Zhao, Ruihui and Zheng, Junhao and Ma, Qianli and Kang, Yangyang},\n journal={arXiv preprint arXiv:2501.07111},\n year={2025}\n}","memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CMedQAv1-reranking","CMedQAv2-reranking","MMarcoReranking","T2Reranking"]},"zeroShotPct":99,"activeParamsB":null,"totalParamsB":0.401,"embeddingDim":1024,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"T2Reranking":0.69149},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":471,"model":{"name":"naver/splade-code-8B","url":"https://huggingface.co/naver/splade-code-8B","zeroShotPct":-1,"activeParamsB":7.743,"totalParamsB":8.365,"embeddingDim":151936,"maxTokens":40960.0,"releaseDate":"2026-02-24","modelType":"sparse","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":15956.0,"license":"cc-by-nc-sa-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":7.743,"totalParamsB":8.365,"embeddingDim":151936,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.96643},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":474,"model":{"name":"sionic-ai/comsat-embed-ja-8b-preview","url":"https://huggingface.co/sionic-ai/comsat-embed-ja-8b-preview","zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":8192.0,"releaseDate":"2026-07-03","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","Japanese"],"citation":null,"memoryUsageMb":14433.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Qwen/Qwen3-Embedding-8B","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":6.946,"totalParamsB":7.567,"embeddingDim":4096,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.85066},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":474,"model":{"name":"fangxq/XYZ-embedding","url":"https://huggingface.co/fangxq/XYZ-embedding","zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2024-09-13","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese"],"citation":null,"memoryUsageMb":1242.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AFQMC","BQ","CMedQAv2-reranking","Cmnli","DuRetrieval","LCQMC","MMarcoReranking","Ocnli","PAWSX","STS-B","T2Reranking","T2Retrieval"]},"zeroShotPct":99,"activeParamsB":0.304,"totalParamsB":0.326,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"CovidRetrieval":0.90756},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":476,"model":{"name":"sshalimov04/ru-reranker-edge-150m","url":"https://huggingface.co/sshalimov04/ru-reranker-edge-150m","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":null,"maxTokens":8192.0,"releaseDate":"2026-09-06","modelType":"cross-encoder","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Russian"],"citation":null,"memoryUsageMb":570.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/sshalimov04/ru-reranker-teacher-scores","adaptedFrom":"deepvk/RuModernBERT-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["MIRACLReranking","MIRACLRetrieval","MMarcoRetrieval"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":null,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"RuBQReranking":0.7706},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":477,"model":{"name":"codefuse-ai/C2LLM-7B","url":"https://huggingface.co/codefuse-ai/C2LLM-7B","zeroShotPct":99,"activeParamsB":7.122,"totalParamsB":7.667,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2025-12-22","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":"\n@misc{qin2025c2llmtechnicalreportnew,\n title={C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling},\n author={Jin Qin and Zihan Liao and Ziyin Zhang and Hang Yu and Peng Di and Rui Wang},\n year={2025},\n eprint={2512.21332},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2512.21332},\n}","memoryUsageMb":14624.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AdvTrain","COIRCodeSearchNetRetrieval","CodeEditSearchRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","StackOverflowQA","SyntheticText2SQL"]},"zeroShotPct":99,"activeParamsB":7.122,"totalParamsB":7.667,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.94848},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":478,"model":{"name":"NeuML/pubmedbert-base-embeddings-100K","url":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-100K","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":64,"maxTokens":null,"releaseDate":"2025-01-03","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":0.0,"license":"apache-2.0","publicTrainingCode":"https://huggingface.co/NeuML/pubmedbert-base-embeddings-100K#training","publicTrainingData":"https://pubmed.ncbi.nlm.nih.gov/download/","adaptedFrom":"NeuML/pubmedbert-base-embeddings","supersededBy":null,"extraRequirementsGroups":["model2vec"],"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"TRECCOVID":0.1735,"MedrxivClusteringP2P.v2":0.329027},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":480,"model":{"name":"Qodo/Qodo-Embed-1-7B","url":"https://huggingface.co/Qodo/Qodo-Embed-1-7B","zeroShotPct":-1,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768.0,"releaseDate":"2025-02-24","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["c#-Code (Code)","c++-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","typescript-Code (Code)"],"citation":null,"memoryUsageMb":29040.0,"license":"https://huggingface.co/Qodo/Qodo-Embed-1-1.5B/blob/main/LICENSE","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-Qwen2-7B-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":6.526,"totalParamsB":7.069,"embeddingDim":3584,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.94},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":481,"model":{"name":"lightonai/LateOn-Code","url":"https://huggingface.co/lightonai/LateOn-Code","zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-02-12","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/lateon_code/fine_tuning.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/nv-embed-supervised-distill-dedup-code","adaptedFrom":"lightonai/LateOn-Code-pretrain","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["AppsRetrieval","COIRCodeSearchNetRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CornStack","CosQA","MSMARCO","StackOverflowQA","SyntheticText2SQL","mMARCO-NL"]},"zeroShotPct":99,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.93425},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":482,"model":{"name":"naver/splade-code-06B","url":"https://huggingface.co/naver/splade-code-06B","zeroShotPct":-1,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":151936,"maxTokens":40960.0,"releaseDate":"2026-02-24","modelType":"sparse","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":1137.0,"license":"cc-by-nc-sa-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.44,"totalParamsB":0.596,"embeddingDim":151936,"maxTokens":40960,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.93395},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":486,"model":{"name":"Qodo/Qodo-Embed-1-1.5B","url":"https://huggingface.co/Qodo/Qodo-Embed-1-1.5B","zeroShotPct":-1,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":32768.0,"releaseDate":"2025-02-19","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["c#-Code (Code)","c++-Code (Code)","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)","typescript-Code (Code)"],"citation":null,"memoryUsageMb":6776.0,"license":"https://huggingface.co/Qodo/Qodo-Embed-1-1.5B/blob/main/LICENSE","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"Alibaba-NLP/gte-Qwen2-1.5B-instruct","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":1.31,"totalParamsB":1.543,"embeddingDim":1536,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.91924},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":487,"model":{"name":"sionic-ai/comsat-embed-ja-0.3b-preview","url":"https://huggingface.co/sionic-ai/comsat-embed-ja-0.3b-preview","zeroShotPct":99,"activeParamsB":0.236,"totalParamsB":0.315,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2026-07-02","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Japanese"],"citation":null,"memoryUsageMb":1200.0,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":"cl-nagoya/ruri-v3-310m","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":99,"activeParamsB":0.236,"totalParamsB":0.315,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"JSICK":0.80896},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":488,"model":{"name":"codefuse-ai/C2LLM-0.5B","url":"https://huggingface.co/codefuse-ai/C2LLM-0.5B","zeroShotPct":99,"activeParamsB":0.361,"totalParamsB":0.497,"embeddingDim":896,"maxTokens":32768.0,"releaseDate":"2025-12-22","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["Chinese","English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":"\n@misc{qin2025c2llmtechnicalreportnew,\n title={C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling},\n author={Jin Qin and Zihan Liao and Ziyin Zhang and Hang Yu and Peng Di and Rui Wang},\n year={2025},\n eprint={2512.21332},\n archivePrefix={arXiv},\n primaryClass={cs.CL},\n url={https://arxiv.org/abs/2512.21332},\n}","memoryUsageMb":948.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AdvTrain","COIRCodeSearchNetRetrieval","CodeEditSearchRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNet","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","StackOverflowQA","SyntheticText2SQL"]},"zeroShotPct":99,"activeParamsB":0.361,"totalParamsB":0.497,"embeddingDim":896,"maxTokens":32768,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.89403},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":489,"model":{"name":"Shuu12121/NightOwl-CodeEmbedding","url":"https://huggingface.co/Shuu12121/NightOwl-CodeEmbedding","zeroShotPct":99,"activeParamsB":0.112,"totalParamsB":0.151,"embeddingDim":768,"maxTokens":1024.0,"releaseDate":"2026-06-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":575.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"True","adaptedFrom":"Shuu12121/NightOwl","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["AppsRetrieval","COIRCodeSearchNetRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CosQA","StackOverflowQA","SyntheticText2SQL"]},"zeroShotPct":99,"activeParamsB":0.112,"totalParamsB":0.151,"embeddingDim":768,"maxTokens":1024,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.86608},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":490,"model":{"name":"lightonai/LateOn-Code-edge","url":"https://huggingface.co/lightonai/LateOn-Code-edge","zeroShotPct":99,"activeParamsB":0.004,"totalParamsB":0.017,"embeddingDim":48,"maxTokens":7999.0,"releaseDate":"2026-02-12","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":64.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/lateon_code/fine_tuning.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/nv-embed-supervised-distill-dedup-code","adaptedFrom":"lightonai/LateOn-Code-edge-pretrain","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["AmazonQA","AppsRetrieval","COIRCodeSearchNetRetrieval","CodeFeedbackMT","CodeFeedbackST","CodeSearchNetCCRetrieval","CodeSearchNetRetrieval","CodeTransOceanContest","CodeTransOceanDL","CornStack","CosQA","HotpotQA","LoTTE","MSMARCO","MultiLongDocRetrieval","NQ","StackOverflowQA","SyntheticText2SQL"]},"zeroShotPct":99,"activeParamsB":0.004,"totalParamsB":0.017,"embeddingDim":48,"maxTokens":7999,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.85629},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":491,"model":{"name":"lightonai/LateOn-Code-pretrain","url":"https://huggingface.co/lightonai/LateOn-Code-pretrain","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192.0,"releaseDate":"2026-02-12","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":568.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/lateon_code/pre-training.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/cornstack","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["CodeSearchNet","CornStack","DBPedia","DBPediaHardNegatives.v2","FEVER","HotpotQA","HotpotQAHardNegatives","MSMARCO","MSMARCOHardNegatives","NQ","NQHardNegatives","NanoDBPediaRetrieval","NanoMSMARCORetrieval","NanoNQRetrieval","TRECDL2019","TRECDL2020"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":128,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.8561},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":493,"model":{"name":"mteb/baseline-bm25s-subword","url":"https://github.com/xhluca/bm25s","zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":null,"maxTokens":null,"releaseDate":"2026-05-06","modelType":"sparse","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":true,"open training data":false,"paper":true,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["Afrikaans","Arabic","Armenian","Azerbaijani","Basque","Belarusian","Bengali","Bulgarian","Burmese","Catalan","Cebuano","Chinese","Croatian","Czech","Danish","Dutch","English","Estonian","Finnish","French","Galician","Georgian","German","Gujarati","Haitian","Hebrew","Hindi","Hungarian","Icelandic","Indonesian","Italian","Japanese","Javanese","Kannada","Kazakh","Khmer","Kirghiz","Korean","Lao","Latvian","Lithuanian","Macedonian","Malay (macrolanguage)","Malayalam","Marathi","Modern Greek (1453-)","Mongolian","Nepali (macrolanguage)","Norwegian","Norwegian Bokmål","Norwegian Nynorsk","Panjabi","Persian","Polish","Portuguese","Quechua (Latin)","Romanian","Russian","Sinhala","Slovak","Slovenian","Spanish","Swahili (macrolanguage)","Tagalog","Tamil","Telugu","Thai","Turkish","Ukrainian","Urdu","Vietnamese","Welsh","Yoruba"],"citation":"@misc{bm25s,\n title={BM25S: Orders of magnitude faster lexical search via eager sparse scoring},\n author={Xing Han Lù},\n year={2024},\n eprint={2407.03618},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2407.03618},\n}","memoryUsageMb":null,"license":null,"publicTrainingCode":"https://github.com/xhluca/bm25s","publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["bm25s"],"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.0,"embeddingDim":null,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"TwitterHjerneRetrieval":0.2784},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":495,"model":{"name":"Linkup-Platform/linkup-sparseup-embed-v1","url":"https://huggingface.co/Linkup-Platform/linkup-sparseup-embed-v1","zeroShotPct":99,"activeParamsB":0.15,"totalParamsB":0.188,"embeddingDim":50370,"maxTokens":512.0,"releaseDate":"2026-09-16","modelType":"sparse","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":719.0,"license":"apache-2.0","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/lightonai/embeddings-fine-tuning","adaptedFrom":"lightonai/LateOn-unsupervised","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CQADupstackRetrieval","ClimateFEVER","DBPedia","FEVER","FiQA2018","HotpotQA","MSMARCO","NQ","QuoraRetrieval","SCIDOCS","SciFact","TRECDL2019","TRECDL2020"]},"zeroShotPct":99,"activeParamsB":0.15,"totalParamsB":0.188,"embeddingDim":50370,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"ArguAna":0.56469},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":496,"model":{"name":"lightonai/LateOn-Code-edge-pretrain","url":"https://huggingface.co/lightonai/LateOn-Code-edge-pretrain","zeroShotPct":100,"activeParamsB":0.004,"totalParamsB":0.017,"embeddingDim":48,"maxTokens":7999.0,"releaseDate":"2026-02-12","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English","go-Code (Code)","java-Code (Code)","javascript-Code (Code)","php-Code (Code)","python-Code (Code)","ruby-Code (Code)"],"citation":null,"memoryUsageMb":64.0,"license":"apache-2.0","publicTrainingCode":"https://github.com/lightonai/pylate/blob/main/examples/train/lateon_code/pre-training.py","publicTrainingData":"https://huggingface.co/datasets/lightonai/cornstack","adaptedFrom":"mixedbread-ai/mxbai-edge-colbert-v0-17m","supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["AmazonQA","CornStack","HotpotQA","LoTTE","MSMARCO","MultiLongDocRetrieval","NQ"]},"zeroShotPct":100,"activeParamsB":0.004,"totalParamsB":0.017,"embeddingDim":48,"maxTokens":7999,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.74632},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":497,"model":{"name":"bisectgroup/BiCA-base","url":"https://huggingface.co/bisectgroup/BiCA-base","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512.0,"releaseDate":"2025-11-14","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":true,"model card":true},"opennessScore":6,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":"\n@misc{sinha2025bicaeffectivebiomedicaldense,\n title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},\n author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},\n year={2025},\n eprint={2511.08029},\n archivePrefix={arXiv},\n primaryClass={cs.IR},\n url={https://arxiv.org/abs/2511.08029},\n}\n","memoryUsageMb":418.0,"license":"mit","publicTrainingCode":"https://github.com/NiravBhattLab/BiCA","publicTrainingData":"https://huggingface.co/datasets/bisectgroup/hard-negatives-traversal","adaptedFrom":"thenlper/gte-base","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":768,"maxTokens":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"AILAStatutes":0.22006},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":498,"model":{"name":"minishlab/potion-code-16M-v2","url":"https://huggingface.co/minishlab/potion-code-16M-v2","zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.016,"embeddingDim":256,"maxTokens":null,"releaseDate":"2026-07-08","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":true,"open training data":true,"paper":false,"model card":true},"opennessScore":5,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":62.0,"license":"mit","publicTrainingCode":"https://github.com/MinishLab/model2vec","publicTrainingData":"https://huggingface.co/collections/nomic-ai/cornstack; https://huggingface.co/datasets/minishlab/tokenlearn-cornstack-docs-coderankembed-v2; https://huggingface.co/datasets/minishlab/tokenlearn-cornstack-queries-coderankembed-v2","adaptedFrom":"nomic-ai/CodeRankEmbed","supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CoRNStack"]},"zeroShotPct":100,"activeParamsB":0.0,"totalParamsB":0.016,"embeddingDim":256,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.59567},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":499,"model":{"name":"fyaronskiy/english_code_retriever","url":"https://huggingface.co/fyaronskiy/english_code_retriever","zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192.0,"releaseDate":"2025-07-10","modelType":"dense","instructionTuned":true,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":true,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":568.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":"https://huggingface.co/datasets/code-search-net/code_search_net","adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":["CodeSearchNet"]},"zeroShotPct":100,"activeParamsB":0.11,"totalParamsB":0.149,"embeddingDim":768,"maxTokens":8192,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"StackOverflowQA":0.56534},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":500,"model":{"name":"axiotic/ogma-mini","url":"https://huggingface.co/axiotic/ogma-mini","zeroShotPct":-1,"activeParamsB":0.002,"totalParamsB":0.004,"embeddingDim":256,"maxTokens":1024.0,"releaseDate":"2026-04-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":13.4,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.002,"totalParamsB":0.004,"embeddingDim":256,"maxTokens":1024,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.04918},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":500,"model":{"name":"colbert-ir/colbertv2.0","url":"https://huggingface.co/colbert-ir/colbertv2.0","zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":null,"maxTokens":180.0,"releaseDate":"2024-09-21","modelType":"late-interaction","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":true,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":3,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":418.0,"license":"mit","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":["pylate"],"trainingDatasets":["MSMARCO","mMARCO-NL"]},"zeroShotPct":100,"activeParamsB":0.086,"totalParamsB":0.109,"embeddingDim":null,"maxTokens":180,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SCIDOCS":0.15615},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":502,"model":{"name":"axiotic/ogma-micro","url":"https://huggingface.co/axiotic/ogma-micro","zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":128,"maxTokens":1024.0,"releaseDate":"2026-04-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":8.9,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.0,"totalParamsB":0.002,"embeddingDim":128,"maxTokens":1024,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.046362},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":503,"model":{"name":"axiotic/ogma-small","url":"https://huggingface.co/axiotic/ogma-small","zeroShotPct":-1,"activeParamsB":0.005,"totalParamsB":0.009,"embeddingDim":256,"maxTokens":1024.0,"releaseDate":"2026-04-23","modelType":"dense","instructionTuned":false,"openWeights":true,"openness":{"open weights":true,"open license":false,"open training code":false,"open training data":false,"paper":false,"model card":true},"opennessScore":2,"sentenceTransformersCompatible":false,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":32.8,"license":"cc-by-nc-4.0","publicTrainingCode":null,"publicTrainingData":null,"adaptedFrom":null,"supersededBy":null,"extraRequirementsGroups":null,"trainingDatasets":null},"zeroShotPct":-1,"activeParamsB":0.005,"totalParamsB":0.009,"embeddingDim":256,"maxTokens":1024,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"STSB":0.025556000000000002},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null}],"aggregations":["mean_task","mean_task_type","task_types"],"customGroupings":[],"showZeroShot":true}