{"benchmarkName":"MTEB(Multilingual, v2)","taskTypes":["STS","Classification","Clustering","PairClassification","Reranking","Retrieval","InstructionReranking","BitextMining","MultilabelClassification"],"tasks":["ScalaClassification","IndonesianIdClickbaitClassification","SICK-R","SCIDOCS","PunjabiNewsClassification","AlloProfClusteringS2S.v2","SlovakMovieReviewSentimentClassification","WikipediaRerankingMultilingual","NTREXBitextMining","NusaParagraphEmotionClassification","MassiveIntentClassification","STS13","CyrillicTurkicLangClassification","CSFDSKMovieReviewSentimentClassification","XNLI","CEDRClassification","WinoGrande","IN22GenBitextMining","NusaTranslationBitextMining","TwitterURLCorpus","PpcPC","TwitterHjerneRetrieval","MalteseNewsClassification","STS12","LEMBPasskeyRetrieval","BUCC.v2","SwahiliNewsClassification","BiorxivClusteringP2P.v2","STS14","BornholmBitextMining","FaroeseSTS","WikiCitiesClustering","NusaXBitextMining","STSBenchmark","StackOverflowQA","MultiEURLEXMultilabelClassification","NorwegianCourtsBitextMining","PlscClusteringP2P.v2","ToxicConversationsClassification","BrazilianToxicTweetsClassification","IndicLangClassification","News21InstructionRetrieval","GujaratiNewsClassification","SiswatiNewsClassification","STS17","NollySentiBitextMining","STS15","TempReasonL1","MedrxivClusteringP2P.v2","TRECCOVID","NepaliNewsClassification","ArmenianParaphrasePC","AmazonCounterfactualClassification","KorHateSpeechMLClassification","BelebeleRetrieval","AlloprofReranking","NordicLangClassification","StatcanDialogueDatasetRetrieval","RuBQReranking","STSES","WikiClusteringP2P.v2","FinParaSTS","OpusparcusPC","CataloniaTweetClassification","GermanSTSBenchmark","SwissJudgementClassification","MLQARetrieval","SwednClusteringP2P","DBpediaClassification","HagridRetrieval","TswanaNewsClassification","WikipediaRetrievalMultilingual","ArguAna","MIRACLRetrievalHardNegatives","IsiZuluNewsClassification","DiaBlaBitextMining","LegalBenchCorporateLobbying","EstonianValenceClassification","SinhalaNewsClassification","SprintDuplicateQuestions","CovidRetrieval","IndicCrosslingualSTS","Core17InstructionRetrieval","RTE3","BibleNLPBitextMining","AfriSentiClassification","PAC","VoyageMMarcoReranking","GreekLegalCodeClassification","KurdishSentimentClassification","Robust04InstructionRetrieval","TERRa","indonli","SpartQA","SentimentAnalysisHindi","ItaCaseholdClassification","OdiaNewsClassification","MasakhaNEWSClassification","FinancialPhrasebankClassification","ArXivHierarchicalClusteringP2P","CLSClusteringP2P.v2","CTKFactsNLI","JSICK","STSB","FloresBitextMining","MacedonianTweetSentimentClassification","TweetTopicSingleClassification","SIB200ClusteringS2S","HALClusteringS2S.v2","BulgarianStoreReviewSentimentClassfication","CzechProductReviewSentimentClassification","PawsXPairClassification","FilipinoShopeeReviewsClassification","SemRel24STS","BigPatentClustering.v2","ArXivHierarchicalClusteringS2S","AILAStatutes","MultiHateClassification","MasakhaNEWSClusteringS2S","DalajClassification","T2Reranking","WebLINXCandidatesReranking","KorSarcasmClassification","NusaX-senti","StackExchangeClustering.v2","Tatoeba","PolEmo2.0-OUT","RomaniBibleClustering","STS22.v2","PoemSentimentClassification","IndicGenBenchFloresBitextMining"],"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":0.7427199384685497,"meanTaskType":0.6419565096604185,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7998504802714648,"Classification":0.7994586408862911,"Clustering":0.5892672456093637,"PairClassification":0.8543996136363637,"Reranking":0.6734768680555555,"Retrieval":0.7826541941720541,"InstructionReranking":0.05388066666666667,"BitextMining":0.8602409906894852,"MultilabelClassification":0.36437988695652174},"scoresByTask":{"ScalaClassification":0.911206,"IndonesianIdClickbaitClassification":0.712708,"SICK-R":0.867309,"SCIDOCS":0.28932,"PunjabiNewsClassification":0.84586,"AlloProfClusteringS2S.v2":0.610955,"SlovakMovieReviewSentimentClassification":0.961572,"WikipediaRerankingMultilingual":0.904329375,"NTREXBitextMining":0.9592173021920668,"NusaParagraphEmotionClassification":0.8054431,"MassiveIntentClassification":0.8055333823529413,"STS13":0.915818,"CyrillicTurkicLangClassification":0.994434,"CSFDSKMovieReviewSentimentClassification":0.678955,"XNLI":0.8945973928571428,"CEDRClassification":0.52152,"WinoGrande":0.93144,"IN22GenBitextMining":0.9131168833992095,"NusaTranslationBitextMining":0.889361090909091,"TwitterURLCorpus":0.876308,"PpcPC":0.957645,"TwitterHjerneRetrieval":0.90211,"MalteseNewsClassification":0.475795,"STS12":0.836763,"LEMBPasskeyRetrieval":0.975,"BUCC.v2":0.989296,"SwahiliNewsClassification":0.651758,"BiorxivClusteringP2P.v2":0.570701,"STS14":0.880416,"BornholmBitextMining":0.770467,"FaroeseSTS":0.86387,"WikiCitiesClustering":0.949967,"NusaXBitextMining":0.8908803636363636,"STSBenchmark":0.913763,"StackOverflowQA":0.96994,"MultiEURLEXMultilabelClassification":0.045150434782608696,"NorwegianCourtsBitextMining":0.929825,"PlscClusteringP2P.v2":0.751215,"ToxicConversationsClassification":0.904102,"BrazilianToxicTweetsClassification":0.381299,"IndicLangClassification":0.993004,"News21InstructionRetrieval":0.043295,"GujaratiNewsClassification":0.912671,"SiswatiNewsClassification":0.585,"STS17":0.9059795454545455,"NollySentiBitextMining":0.8375885000000001,"STS15":0.917748,"TempReasonL1":0.41844,"MedrxivClusteringP2P.v2":0.488082,"TRECCOVID":0.88855,"NepaliNewsClassification":0.981201,"ArmenianParaphrasePC":0.967143,"AmazonCounterfactualClassification":0.9273223749999999,"KorHateSpeechMLClassification":0.398135,"BelebeleRetrieval":0.8648909840425532,"AlloprofReranking":0.83184,"NordicLangClassification":0.957833,"StatcanDialogueDatasetRetrieval":0.550995,"RuBQReranking":0.77722,"STSES":0.756197,"WikiClusteringP2P.v2":0.3318842857142857,"FinParaSTS":0.290392,"OpusparcusPC":0.9698245,"CataloniaTweetClassification":0.79831775,"GermanSTSBenchmark":0.891953,"SwissJudgementClassification":0.7957573333333333,"MLQARetrieval":0.7957584693877551,"SwednClusteringP2P":0.5736325,"DBpediaClassification":0.988037,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.554415,"WikipediaRetrievalMultilingual":0.924549375,"ArguAna":0.67759,"MIRACLRetrievalHardNegatives":0.6931716666666667,"IsiZuluNewsClassification":0.425665,"DiaBlaBitextMining":0.882262,"LegalBenchCorporateLobbying":0.9578,"EstonianValenceClassification":0.676406,"SinhalaNewsClassification":0.859082,"SprintDuplicateQuestions":0.973245,"CovidRetrieval":0.83096,"IndicCrosslingualSTS":0.6342525833333333,"Core17InstructionRetrieval":0.088928,"RTE3":0.913026,"BibleNLPBitextMining":0.3847727530193237,"AfriSentiClassification":0.5613748333333334,"PAC":0.845699,"VoyageMMarcoReranking":0.67239,"GreekLegalCodeClassification":0.6951419999999999,"KurdishSentimentClassification":0.909009,"Robust04InstructionRetrieval":0.029419,"TERRa":0.615074,"indonli":0.662527,"SpartQA":0.87693,"SentimentAnalysisHindi":0.806965,"ItaCaseholdClassification":0.792308,"OdiaNewsClassification":0.977865,"MasakhaNEWSClassification":0.878207375,"FinancialPhrasebankClassification":0.933746,"ArXivHierarchicalClusteringP2P":0.633549,"CLSClusteringP2P.v2":0.658391,"CTKFactsNLI":0.88991,"JSICK":0.877858,"STSB":0.853896,"FloresBitextMining":0.8784565858688304,"MacedonianTweetSentimentClassification":0.740737,"TweetTopicSingleClassification":0.778382,"SIB200ClusteringS2S":0.486320269035533,"HALClusteringS2S.v2":0.325495,"BulgarianStoreReviewSentimentClassfication":0.815934,"CzechProductReviewSentimentClassification":0.727539,"PawsXPairClassification":0.6790958571428571,"FilipinoShopeeReviewsClassification":0.527881,"SemRel24STS":0.683996,"BigPatentClustering.v2":0.453919,"ArXivHierarchicalClusteringS2S":0.628546,"AILAStatutes":0.55137,"MultiHateClassification":0.8620909090909091,"MasakhaNEWSClusteringS2S":0.646995875,"DalajClassification":0.658559,"T2Reranking":0.66654,"WebLINXCandidatesReranking":0.18854183333333333,"KorSarcasmClassification":0.711182,"NusaX-senti":0.8014375,"StackExchangeClustering.v2":0.852834,"Tatoeba":0.8768850982142856,"PolEmo2.0-OUT":0.806275,"RomaniBibleClustering":0.465789,"STS22.v2":0.7073965555555556,"PoemSentimentClassification":0.8201050000000001,"IndicGenBenchFloresBitextMining":0.9810043017241379},"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":0.7231813660530396,"meanTaskType":0.6251302975114925,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7901802509469698,"Classification":0.7788386506715583,"Clustering":0.5577263799854968,"PairClassification":0.8472866850649351,"Reranking":0.672726170138889,"Retrieval":0.7565970746841881,"InstructionReranking":0.054918333333333326,"BitextMining":0.8375852892998012,"MultilabelClassification":0.33031384347826087},"scoresByTask":{"ScalaClassification":0.8625855,"IndonesianIdClickbaitClassification":0.613259,"SICK-R":0.824593,"SCIDOCS":0.24006,"PunjabiNewsClassification":0.838854,"AlloProfClusteringS2S.v2":0.58342,"SlovakMovieReviewSentimentClassification":0.952051,"WikipediaRerankingMultilingual":0.9041511875,"NTREXBitextMining":0.9456119885177453,"NusaParagraphEmotionClassification":0.7334129,"MassiveIntentClassification":0.8003309803921568,"STS13":0.898287,"CyrillicTurkicLangClassification":0.990479,"CSFDSKMovieReviewSentimentClassification":0.645605,"XNLI":0.8592233571428572,"CEDRClassification":0.524389,"WinoGrande":0.89889,"IN22GenBitextMining":0.8981080988142293,"NusaTranslationBitextMining":0.8546102727272727,"TwitterURLCorpus":0.872952,"PpcPC":0.955388,"TwitterHjerneRetrieval":0.90399,"MalteseNewsClassification":0.447801,"STS12":0.809175,"LEMBPasskeyRetrieval":1.0,"BUCC.v2":0.98897775,"SwahiliNewsClassification":0.66958,"BiorxivClusteringP2P.v2":0.497255,"STS14":0.859142,"BornholmBitextMining":0.718767,"FaroeseSTS":0.867355,"WikiCitiesClustering":0.931043,"NusaXBitextMining":0.8808017272727273,"STSBenchmark":0.889996,"StackOverflowQA":0.95598,"MultiEURLEXMultilabelClassification":0.05614521739130435,"NorwegianCourtsBitextMining":0.935673,"PlscClusteringP2P.v2":0.754165,"ToxicConversationsClassification":0.899951,"BrazilianToxicTweetsClassification":0.315723,"IndicLangClassification":0.991084,"News21InstructionRetrieval":0.032615,"GujaratiNewsClassification":0.923293,"SiswatiNewsClassification":0.58125,"STS17":0.8731291818181819,"NollySentiBitextMining":0.79522625,"STS15":0.901293,"TempReasonL1":0.07171,"MedrxivClusteringP2P.v2":0.441156,"TRECCOVID":0.84572,"NepaliNewsClassification":0.981689,"ArmenianParaphrasePC":0.970305,"AmazonCounterfactualClassification":0.909922,"KorHateSpeechMLClassification":0.307511,"BelebeleRetrieval":0.888679414893617,"AlloprofReranking":0.815364,"NordicLangClassification":0.9384,"StatcanDialogueDatasetRetrieval":0.5407875,"RuBQReranking":0.772733,"STSES":0.794094,"WikiClusteringP2P.v2":0.3295307142857143,"FinParaSTS":0.2992645,"OpusparcusPC":0.9695594999999999,"CataloniaTweetClassification":0.7523475,"GermanSTSBenchmark":0.885031,"SwissJudgementClassification":0.5867976666666667,"MLQARetrieval":0.8201993877551021,"SwednClusteringP2P":0.5169735,"DBpediaClassification":0.989209,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.531417,"WikipediaRetrievalMultilingual":0.918124375,"ArguAna":0.70307,"MIRACLRetrievalHardNegatives":0.6607966666666667,"IsiZuluNewsClassification":0.391755,"DiaBlaBitextMining":0.878022,"LegalBenchCorporateLobbying":0.94694,"EstonianValenceClassification":0.645599,"SinhalaNewsClassification":0.854736,"SprintDuplicateQuestions":0.968338,"CovidRetrieval":0.82391,"IndicCrosslingualSTS":0.6343688333333334,"Core17InstructionRetrieval":0.083511,"RTE3":0.9120552500000001,"BibleNLPBitextMining":0.31864295350241545,"AfriSentiClassification":0.56877875,"PAC":0.869852,"VoyageMMarcoReranking":0.71358,"GreekLegalCodeClassification":0.6289549999999999,"KurdishSentimentClassification":0.895471,"Robust04InstructionRetrieval":0.048629,"TERRa":0.6156,"indonli":0.665927,"SpartQA":0.8483,"SentimentAnalysisHindi":0.795318,"ItaCaseholdClassification":0.850226,"OdiaNewsClassification":0.968887,"MasakhaNEWSClassification":0.872703,"FinancialPhrasebankClassification":0.940989,"ArXivHierarchicalClusteringP2P":0.639729,"CLSClusteringP2P.v2":0.539999,"CTKFactsNLI":0.8973880000000001,"JSICK":0.849183,"STSB":0.844915,"FloresBitextMining":0.8424460393364241,"MacedonianTweetSentimentClassification":0.735382,"TweetTopicSingleClassification":0.773479,"SIB200ClusteringS2S":0.4718933654822335,"HALClusteringS2S.v2":0.316376,"BulgarianStoreReviewSentimentClassfication":0.793407,"CzechProductReviewSentimentClassification":0.708105,"PawsXPairClassification":0.6334174285714286,"FilipinoShopeeReviewsClassification":0.515918,"SemRel24STS":0.7105351666666667,"BigPatentClustering.v2":0.422971,"ArXivHierarchicalClusteringS2S":0.640299,"AILAStatutes":0.56263,"MultiHateClassification":0.8374181818181818,"MasakhaNEWSClusteringS2S":0.6373815,"DalajClassification":0.621284,"T2Reranking":0.662488,"WebLINXCandidatesReranking":0.16804083333333333,"KorSarcasmClassification":0.647852,"NusaX-senti":0.805875,"StackExchangeClustering.v2":0.74256,"Tatoeba":0.8560969910714286,"PolEmo2.0-OUT":0.797571,"RomaniBibleClustering":0.45887,"STS22.v2":0.7025223333333334,"PoemSentimentClassification":0.7789835,"IndicGenBenchFloresBitextMining":0.9756246896551725},"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":0.6946133785217076,"meanTaskType":0.6109144107045219,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7941355811237374,"Classification":0.7321480118745596,"Clustering":0.5435334231072109,"PairClassification":0.8396886233766234,"Reranking":0.67778275,"Retrieval":0.6869422523476492,"InstructionReranking":0.10824699999999998,"BitextMining":0.8171938545109166,"MultilabelClassification":0.2985582},"scoresByTask":{"ScalaClassification":0.6586425,"IndonesianIdClickbaitClassification":0.755997,"SICK-R":0.853703,"SCIDOCS":0.28167,"PunjabiNewsClassification":0.83949,"AlloProfClusteringS2S.v2":0.571449,"SlovakMovieReviewSentimentClassification":0.899316,"WikipediaRerankingMultilingual":0.9168155,"NTREXBitextMining":0.9104944963465553,"NusaParagraphEmotionClassification":0.5591682,"MassiveIntentClassification":0.7635048333333333,"STS13":0.919601,"CyrillicTurkicLangClassification":0.925244,"CSFDSKMovieReviewSentimentClassification":0.554297,"XNLI":0.8340289285714285,"CEDRClassification":0.532465,"WinoGrande":0.51751,"IN22GenBitextMining":0.877533513833992,"NusaTranslationBitextMining":0.8778733636363637,"TwitterURLCorpus":0.876654,"PpcPC":0.952382,"TwitterHjerneRetrieval":0.81387,"MalteseNewsClassification":0.392817,"STS12":0.833584,"LEMBPasskeyRetrieval":0.845,"BUCC.v2":0.98975225,"SwahiliNewsClassification":0.644092,"BiorxivClusteringP2P.v2":0.470971,"STS14":0.878389,"BornholmBitextMining":0.654767,"FaroeseSTS":0.839302,"WikiCitiesClustering":0.904193,"NusaXBitextMining":0.8824052727272726,"STSBenchmark":0.905535,"StackOverflowQA":0.96586,"MultiEURLEXMultilabelClassification":0.04771999999999999,"NorwegianCourtsBitextMining":0.937865,"PlscClusteringP2P.v2":0.751806,"ToxicConversationsClassification":0.869678,"BrazilianToxicTweetsClassification":0.290088,"IndicLangClassification":0.955421,"News21InstructionRetrieval":0.067581,"GujaratiNewsClassification":0.897041,"SiswatiNewsClassification":0.5825,"STS17":0.899556909090909,"NollySentiBitextMining":0.808328,"STS15":0.918253,"TempReasonL1":0.08053,"MedrxivClusteringP2P.v2":0.420133,"TRECCOVID":0.8819,"NepaliNewsClassification":0.975293,"ArmenianParaphrasePC":0.968157,"AmazonCounterfactualClassification":0.839398125,"KorHateSpeechMLClassification":0.229701,"BelebeleRetrieval":0.8604118617021277,"AlloprofReranking":0.812854,"NordicLangClassification":0.842467,"StatcanDialogueDatasetRetrieval":0.416695,"RuBQReranking":0.804948,"STSES":0.803377,"WikiClusteringP2P.v2":0.32817657142857143,"FinParaSTS":0.2655835,"OpusparcusPC":0.9662145,"CataloniaTweetClassification":0.5313345,"GermanSTSBenchmark":0.88996,"SwissJudgementClassification":0.6096906666666667,"MLQARetrieval":0.8388199999999999,"SwednClusteringP2P":0.5423385000000001,"DBpediaClassification":0.976367,"HagridRetrieval":0.9897,"TswanaNewsClassification":0.501848,"WikipediaRetrievalMultilingual":0.930133125,"ArguAna":0.75667,"MIRACLRetrievalHardNegatives":0.7304805555555556,"IsiZuluNewsClassification":0.38258,"DiaBlaBitextMining":0.886544,"LegalBenchCorporateLobbying":0.96153,"EstonianValenceClassification":0.629095,"SinhalaNewsClassification":0.824805,"SprintDuplicateQuestions":0.960704,"CovidRetrieval":0.79531,"IndicCrosslingualSTS":0.5817580833333333,"Core17InstructionRetrieval":0.146083,"RTE3":0.899653,"BibleNLPBitextMining":0.21487974094202897,"AfriSentiClassification":0.4938890833333333,"PAC":0.747089,"VoyageMMarcoReranking":0.712537,"GreekLegalCodeClassification":0.5127685,"KurdishSentimentClassification":0.845395,"Robust04InstructionRetrieval":0.111077,"TERRa":0.672103,"indonli":0.616587,"SpartQA":0.1586,"SentimentAnalysisHindi":0.784034,"ItaCaseholdClassification":0.732127,"OdiaNewsClassification":0.868894,"MasakhaNEWSClassification":0.862284375,"FinancialPhrasebankClassification":0.944037,"ArXivHierarchicalClusteringP2P":0.628395,"CLSClusteringP2P.v2":0.442842,"CTKFactsNLI":0.873466,"JSICK":0.837991,"STSB":0.861397,"FloresBitextMining":0.8021025148749156,"MacedonianTweetSentimentClassification":0.686831,"TweetTopicSingleClassification":0.784229,"SIB200ClusteringS2S":0.5066993857868021,"HALClusteringS2S.v2":0.318365,"BulgarianStoreReviewSentimentClassfication":0.796703,"CzechProductReviewSentimentClassification":0.680713,"PawsXPairClassification":0.6166254285714287,"FilipinoShopeeReviewsClassification":0.5093745000000001,"SemRel24STS":0.7027585833333333,"BigPatentClustering.v2":0.366706,"ArXivHierarchicalClusteringS2S":0.638916,"AILAStatutes":0.54027,"MultiHateClassification":0.8031727272727273,"MasakhaNEWSClusteringS2S":0.6087263125,"DalajClassification":0.527703,"T2Reranking":0.68291,"WebLINXCandidatesReranking":0.136632,"KorSarcasmClassification":0.638818,"NusaX-senti":0.7761874999999999,"StackExchangeClustering.v2":0.764217,"Tatoeba":0.8154804821428572,"PolEmo2.0-OUT":0.800607,"RomaniBibleClustering":0.432601,"STS22.v2":0.7154202222222222,"PoemSentimentClassification":0.670238,"IndicGenBenchFloresBitextMining":0.9654944741379311},"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":{"STS":0.8107530920138888,"Classification":0.7399706981526966,"Clustering":0.5764688671081852,"PairClassification":0.8640237521645022,"Reranking":0.6563249861111111,"Retrieval":0.7087702987397678,"InstructionReranking":0.10064133333333332,"BitextMining":0.8089090988028113,"MultilabelClassification":0.28655478260869566},"scoresByTask":{"ScalaClassification":0.57427975,"IndonesianIdClickbaitClassification":0.650666,"SICK-R":0.885986,"SCIDOCS":0.32742,"PunjabiNewsClassification":0.851592,"AlloProfClusteringS2S.v2":0.596508,"SlovakMovieReviewSentimentClassification":0.944092,"WikipediaRerankingMultilingual":0.90279425,"NTREXBitextMining":0.8951777813152401,"NusaParagraphEmotionClassification":0.6537666,"MassiveIntentClassification":0.791378725490196,"STS13":0.942216,"CyrillicTurkicLangClassification":0.961523,"CSFDSKMovieReviewSentimentClassification":0.624316,"XNLI":0.8867573214285714,"CEDRClassification":0.530499,"WinoGrande":0.54225,"IN22GenBitextMining":0.8195555177865612,"NusaTranslationBitextMining":0.9222092727272727,"TwitterURLCorpus":0.869624,"PpcPC":0.947037,"TwitterHjerneRetrieval":0.78199,"MalteseNewsClassification":0.426513,"STS12":0.861378,"LEMBPasskeyRetrieval":0.8475,"BUCC.v2":0.98876025,"SwahiliNewsClassification":0.675342,"BiorxivClusteringP2P.v2":0.513103,"STS14":0.904208,"BornholmBitextMining":0.763267,"FaroeseSTS":0.872092,"WikiCitiesClustering":0.880651,"NusaXBitextMining":0.8790102727272727,"STSBenchmark":0.936023,"StackOverflowQA":0.94751,"MultiEURLEXMultilabelClassification":0.04759391304347826,"NorwegianCourtsBitextMining":0.929825,"PlscClusteringP2P.v2":0.751159,"ToxicConversationsClassification":0.916455,"BrazilianToxicTweetsClassification":0.220215,"IndicLangClassification":0.950796,"News21InstructionRetrieval":0.090212,"GujaratiNewsClassification":0.913126,"SiswatiNewsClassification":0.56625,"STS17":0.92123,"NollySentiBitextMining":0.66634925,"STS15":0.93729,"TempReasonL1":0.01346,"MedrxivClusteringP2P.v2":0.460863,"TRECCOVID":0.94991,"NepaliNewsClassification":0.973486,"ArmenianParaphrasePC":0.967634,"AmazonCounterfactualClassification":0.925999,"KorHateSpeechMLClassification":0.207953,"BelebeleRetrieval":0.8881362234042552,"AlloprofReranking":0.848795,"NordicLangClassification":0.919933,"StatcanDialogueDatasetRetrieval":0.404605,"RuBQReranking":0.734738,"STSES":0.740794,"WikiClusteringP2P.v2":0.32338300000000003,"FinParaSTS":0.33768600000000004,"OpusparcusPC":0.9626049166666667,"CataloniaTweetClassification":0.5563435,"GermanSTSBenchmark":0.898077,"SwissJudgementClassification":0.672724,"MLQARetrieval":0.8354706122448979,"SwednClusteringP2P":0.6008735,"DBpediaClassification":0.992578,"HagridRetrieval":0.98915,"TswanaNewsClassification":0.406571,"WikipediaRetrievalMultilingual":0.919601875,"ArguAna":0.76852,"MIRACLRetrievalHardNegatives":0.7057716666666667,"IsiZuluNewsClassification":0.25492,"DiaBlaBitextMining":0.866748,"LegalBenchCorporateLobbying":0.95203,"EstonianValenceClassification":0.599267,"SinhalaNewsClassification":0.790674,"SprintDuplicateQuestions":0.959506,"CovidRetrieval":0.87653,"IndicCrosslingualSTS":0.6161280833333334,"Core17InstructionRetrieval":0.126043,"RTE3":0.91226425,"BibleNLPBitextMining":0.272096068236715,"AfriSentiClassification":0.52715625,"PAC":0.653663,"VoyageMMarcoReranking":0.65082,"GreekLegalCodeClassification":0.5648435,"KurdishSentimentClassification":0.853045,"Robust04InstructionRetrieval":0.085669,"TERRa":0.713318,"indonli":0.661053,"SpartQA":0.15715,"SentimentAnalysisHindi":0.800149,"ItaCaseholdClassification":0.660633,"OdiaNewsClassification":0.94902,"MasakhaNEWSClassification":0.8603329375,"FinancialPhrasebankClassification":0.951458,"ArXivHierarchicalClusteringP2P":0.648951,"CLSClusteringP2P.v2":0.757166,"CTKFactsNLI":0.878526,"JSICK":0.893828,"STSB":0.854981,"FloresBitextMining":0.7730248968897904,"MacedonianTweetSentimentClassification":0.746444,"TweetTopicSingleClassification":0.816125,"SIB200ClusteringS2S":0.46601124873096444,"HALClusteringS2S.v2":0.322805,"BulgarianStoreReviewSentimentClassfication":0.782418,"CzechProductReviewSentimentClassification":0.698779,"PawsXPairClassification":0.7459367857142858,"FilipinoShopeeReviewsClassification":0.5052490000000001,"SemRel24STS":0.6442776666666666,"BigPatentClustering.v2":0.389175,"ArXivHierarchicalClusteringS2S":0.654822,"AILAStatutes":0.85086,"MultiHateClassification":0.7966090909090909,"MasakhaNEWSClusteringS2S":0.612522125,"DalajClassification":0.516329,"T2Reranking":0.682946,"WebLINXCandidatesReranking":0.11785666666666667,"KorSarcasmClassification":0.620898,"NusaX-senti":0.8092916666666667,"StackExchangeClustering.v2":0.794072,"Tatoeba":0.7964870178571429,"PolEmo2.0-OUT":0.788057,"RomaniBibleClustering":0.451437,"STS22.v2":0.7258547222222221,"PoemSentimentClassification":0.7521610000000001,"IndicGenBenchFloresBitextMining":0.9433079568965517},"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":0.6836798718752911,"meanTaskType":0.595943083153859,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7940258876262626,"Classification":0.7181957413578328,"Clustering":0.5458546372909491,"PairClassification":0.8363172683982684,"Reranking":0.6558326736111112,"Retrieval":0.6770753736353683,"InstructionReranking":0.05179366666666666,"BitextMining":0.7927964650156638,"MultilabelClassification":0.2915960347826087},"scoresByTask":{"ScalaClassification":0.5184815,"IndonesianIdClickbaitClassification":0.67001,"SICK-R":0.827477,"SCIDOCS":0.25153,"PunjabiNewsClassification":0.826115,"AlloProfClusteringS2S.v2":0.563589,"SlovakMovieReviewSentimentClassification":0.903467,"WikipediaRerankingMultilingual":0.922392375,"NTREXBitextMining":0.9364031090814197,"NusaParagraphEmotionClassification":0.5637578999999999,"MassiveIntentClassification":0.8192474215686275,"STS13":0.89887,"CyrillicTurkicLangClassification":0.952979,"CSFDSKMovieReviewSentimentClassification":0.49375,"XNLI":0.8525778928571429,"CEDRClassification":0.57423,"WinoGrande":0.60518,"IN22GenBitextMining":0.9374706205533597,"NusaTranslationBitextMining":0.7751845454545454,"TwitterURLCorpus":0.870488,"PpcPC":0.955008,"TwitterHjerneRetrieval":0.98021,"MalteseNewsClassification":0.373835,"STS12":0.815489,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.98993025,"SwahiliNewsClassification":0.660498,"BiorxivClusteringP2P.v2":0.538637,"STS14":0.854098,"BornholmBitextMining":0.516864,"FaroeseSTS":0.861155,"WikiCitiesClustering":0.916292,"NusaXBitextMining":0.8252310909090909,"STSBenchmark":0.890753,"StackOverflowQA":0.96713,"MultiEURLEXMultilabelClassification":0.05281217391304348,"NorwegianCourtsBitextMining":0.934211,"PlscClusteringP2P.v2":0.743128,"ToxicConversationsClassification":0.887451,"BrazilianToxicTweetsClassification":0.280225,"IndicLangClassification":0.876885,"News21InstructionRetrieval":0.102558,"GujaratiNewsClassification":0.920486,"SiswatiNewsClassification":0.62375,"STS17":0.8857540909090909,"NollySentiBitextMining":0.687072,"STS15":0.904404,"TempReasonL1":0.02956,"MedrxivClusteringP2P.v2":0.471595,"TRECCOVID":0.86315,"NepaliNewsClassification":0.981396,"ArmenianParaphrasePC":0.968924,"AmazonCounterfactualClassification":0.881994875,"KorHateSpeechMLClassification":0.176878,"BelebeleRetrieval":0.9073199468085107,"AlloprofReranking":0.817737,"NordicLangClassification":0.859667,"StatcanDialogueDatasetRetrieval":0.5111399999999999,"RuBQReranking":0.738384,"STSES":0.81749,"WikiClusteringP2P.v2":0.2822919285714286,"FinParaSTS":0.28603449999999997,"OpusparcusPC":0.9661754166666667,"CataloniaTweetClassification":0.54509575,"GermanSTSBenchmark":0.8809325,"SwissJudgementClassification":0.5786343333333334,"MLQARetrieval":0.8415779591836734,"SwednClusteringP2P":0.45836200000000005,"DBpediaClassification":0.947559,"HagridRetrieval":0.99306,"TswanaNewsClassification":0.533676,"WikipediaRetrievalMultilingual":0.942049375,"ArguAna":0.86442,"MIRACLRetrievalHardNegatives":0.7041794444444444,"IsiZuluNewsClassification":0.405319,"DiaBlaBitextMining":0.872278,"LegalBenchCorporateLobbying":0.95984,"EstonianValenceClassification":0.535208,"SinhalaNewsClassification":0.8229,"SprintDuplicateQuestions":0.968976,"CovidRetrieval":0.79134,"IndicCrosslingualSTS":0.6287478333333333,"Core17InstructionRetrieval":0.076909,"RTE3":0.895495,"BibleNLPBitextMining":0.20715552053140096,"AfriSentiClassification":0.5356471666666667,"PAC":0.716768,"VoyageMMarcoReranking":0.667285,"GreekLegalCodeClassification":0.4375735,"KurdishSentimentClassification":0.863865,"Robust04InstructionRetrieval":-0.024086,"TERRa":0.639244,"indonli":0.606863,"SpartQA":0.10297,"SentimentAnalysisHindi":0.760577,"ItaCaseholdClassification":0.733032,"OdiaNewsClassification":0.918368,"MasakhaNEWSClassification":0.83545275,"FinancialPhrasebankClassification":0.886352,"ArXivHierarchicalClusteringP2P":0.649199,"CLSClusteringP2P.v2":0.426782,"CTKFactsNLI":0.8758675,"JSICK":0.849949,"STSB":0.854982,"FloresBitextMining":0.8370786488215975,"MacedonianTweetSentimentClassification":0.718349,"TweetTopicSingleClassification":0.711105,"SIB200ClusteringS2S":0.4174267055837564,"HALClusteringS2S.v2":0.320018,"BulgarianStoreReviewSentimentClassfication":0.781319,"CzechProductReviewSentimentClassification":0.681592,"PawsXPairClassification":0.5998711428571429,"FilipinoShopeeReviewsClassification":0.4845215,"SemRel24STS":0.7313653333333333,"BigPatentClustering.v2":0.380613,"ArXivHierarchicalClusteringS2S":0.63843,"AILAStatutes":0.4877,"MultiHateClassification":0.7247181818181818,"MasakhaNEWSClusteringS2S":0.5744815625,"DalajClassification":0.50473,"T2Reranking":0.679547,"WebLINXCandidatesReranking":0.10965066666666667,"KorSarcasmClassification":0.605078,"NusaX-senti":0.803125,"StackExchangeClustering.v2":0.920656,"Tatoeba":0.8197292857142857,"PolEmo2.0-OUT":0.775304,"RomaniBibleClustering":0.432173,"STS22.v2":0.7169129444444444,"PoemSentimentClassification":0.596612,"IndicGenBenchFloresBitextMining":0.9677459741379311},"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":{"STS":0.8085726641414142,"Classification":0.7232709714877917,"Clustering":0.5714956655949737,"PairClassification":0.8505294404761905,"Reranking":0.6507923368055556,"Retrieval":0.6960449432587258,"InstructionReranking":0.11559966666666666,"BitextMining":0.7936349611909032,"MultilabelClassification":0.2677221739130434},"scoresByTask":{"ScalaClassification":0.51304925,"IndonesianIdClickbaitClassification":0.642929,"SICK-R":0.880603,"SCIDOCS":0.31444,"PunjabiNewsClassification":0.819108,"AlloProfClusteringS2S.v2":0.595093,"SlovakMovieReviewSentimentClassification":0.933447,"WikipediaRerankingMultilingual":0.8888541875,"NTREXBitextMining":0.8776807990605427,"NusaParagraphEmotionClassification":0.6042677000000001,"MassiveIntentClassification":0.7649383921568627,"STS13":0.943863,"CyrillicTurkicLangClassification":0.950439,"CSFDSKMovieReviewSentimentClassification":0.586865,"XNLI":0.8716251071428571,"CEDRClassification":0.510096,"WinoGrande":0.51511,"IN22GenBitextMining":0.8203192272727272,"NusaTranslationBitextMining":0.9111591818181818,"TwitterURLCorpus":0.871542,"PpcPC":0.952606,"TwitterHjerneRetrieval":0.72577,"MalteseNewsClassification":0.421463,"STS12":0.866139,"LEMBPasskeyRetrieval":0.8425,"BUCC.v2":0.9888939999999999,"SwahiliNewsClassification":0.67168,"BiorxivClusteringP2P.v2":0.509374,"STS14":0.909367,"BornholmBitextMining":0.7126,"FaroeseSTS":0.858496,"WikiCitiesClustering":0.93575,"NusaXBitextMining":0.8692281818181818,"STSBenchmark":0.936965,"StackOverflowQA":0.94323,"MultiEURLEXMultilabelClassification":0.05122086956521739,"NorwegianCourtsBitextMining":0.931287,"PlscClusteringP2P.v2":0.751397,"ToxicConversationsClassification":0.914355,"BrazilianToxicTweetsClassification":0.206494,"IndicLangClassification":0.950513,"News21InstructionRetrieval":0.087106,"GujaratiNewsClassification":0.919803,"SiswatiNewsClassification":0.5725,"STS17":0.9178071818181818,"NollySentiBitextMining":0.6357762499999999,"STS15":0.937673,"TempReasonL1":0.01226,"MedrxivClusteringP2P.v2":0.453245,"TRECCOVID":0.92924,"NepaliNewsClassification":0.972754,"ArmenianParaphrasePC":0.963151,"AmazonCounterfactualClassification":0.9254837499999999,"KorHateSpeechMLClassification":0.149337,"BelebeleRetrieval":0.8116209840425532,"AlloprofReranking":0.851337,"NordicLangClassification":0.908333,"StatcanDialogueDatasetRetrieval":0.42281250000000004,"RuBQReranking":0.722786,"STSES":0.727514,"WikiClusteringP2P.v2":0.31576564285714287,"FinParaSTS":0.3398695,"OpusparcusPC":0.9574801666666666,"CataloniaTweetClassification":0.5262285,"GermanSTSBenchmark":0.900137,"SwissJudgementClassification":0.6261546666666667,"MLQARetrieval":0.8192095918367347,"SwednClusteringP2P":0.6213095,"DBpediaClassification":0.992578,"HagridRetrieval":0.98766,"TswanaNewsClassification":0.364271,"WikipediaRetrievalMultilingual":0.912278125,"ArguAna":0.7564,"MIRACLRetrievalHardNegatives":0.6949377777777778,"IsiZuluNewsClassification":0.232181,"DiaBlaBitextMining":0.871122,"LegalBenchCorporateLobbying":0.95417,"EstonianValenceClassification":0.595721,"SinhalaNewsClassification":0.755371,"SprintDuplicateQuestions":0.960944,"CovidRetrieval":0.87373,"IndicCrosslingualSTS":0.6082089166666667,"Core17InstructionRetrieval":0.135289,"RTE3":0.9079275,"BibleNLPBitextMining":0.258675768115942,"AfriSentiClassification":0.5088950833333333,"PAC":0.696583,"VoyageMMarcoReranking":0.656114,"GreekLegalCodeClassification":0.5189695,"KurdishSentimentClassification":0.819024,"Robust04InstructionRetrieval":0.124404,"TERRa":0.666255,"indonli":0.65345,"SpartQA":0.2015,"SentimentAnalysisHindi":0.763686,"ItaCaseholdClassification":0.666516,"OdiaNewsClassification":0.937788,"MasakhaNEWSClassification":0.84326775,"FinancialPhrasebankClassification":0.938869,"ArXivHierarchicalClusteringP2P":0.648172,"CLSClusteringP2P.v2":0.731577,"CTKFactsNLI":0.861761,"JSICK":0.888302,"STSB":0.8610275000000001,"FloresBitextMining":0.7411791763739979,"MacedonianTweetSentimentClassification":0.754697,"TweetTopicSingleClassification":0.81707,"SIB200ClusteringS2S":0.41260894416243654,"HALClusteringS2S.v2":0.305499,"BulgarianStoreReviewSentimentClassfication":0.749451,"CzechProductReviewSentimentClassification":0.682617,"PawsXPairClassification":0.6890820714285715,"FilipinoShopeeReviewsClassification":0.47761200000000004,"SemRel24STS":0.63166875,"BigPatentClustering.v2":0.43242,"ArXivHierarchicalClusteringS2S":0.651593,"AILAStatutes":0.81194,"MultiHateClassification":0.7745181818181819,"MasakhaNEWSClusteringS2S":0.5616185625,"DalajClassification":0.506644,"T2Reranking":0.672706,"WebLINXCandidatesReranking":0.11295683333333334,"KorSarcasmClassification":0.611328,"NusaX-senti":0.796625,"StackExchangeClustering.v2":0.775663,"Tatoeba":0.7625911696428572,"PolEmo2.0-OUT":0.771053,"RomaniBibleClustering":0.442845,"STS22.v2":0.7295217777777778,"PoemSentimentClassification":0.722468,"IndicGenBenchFloresBitextMining":0.9367417413793103},"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":{"STS":0.8127400587121212,"Classification":0.6668300211908759,"Clustering":0.55683439948842,"PairClassification":0.8512434632034633,"Reranking":0.6763658194444445,"Retrieval":0.7161284597636336,"InstructionReranking":0.08896266666666668,"BitextMining":0.8034862451391084,"MultilabelClassification":0.25225545217391304},"scoresByTask":{"ScalaClassification":0.56453875,"IndonesianIdClickbaitClassification":0.600299,"SICK-R":0.881647,"SCIDOCS":0.3181,"PunjabiNewsClassification":0.826115,"AlloProfClusteringS2S.v2":0.586025,"SlovakMovieReviewSentimentClassification":0.899365,"WikipediaRerankingMultilingual":0.90995625,"NTREXBitextMining":0.8889060923799582,"NusaParagraphEmotionClassification":0.558353,"MassiveIntentClassification":0.7889426176470589,"STS13":0.939993,"CyrillicTurkicLangClassification":0.636572,"CSFDSKMovieReviewSentimentClassification":0.496631,"XNLI":0.8594638571428571,"CEDRClassification":0.525558,"WinoGrande":0.57094,"IN22GenBitextMining":0.8159360019762846,"NusaTranslationBitextMining":0.9133335454545454,"TwitterURLCorpus":0.865467,"PpcPC":0.946256,"TwitterHjerneRetrieval":0.81026,"MalteseNewsClassification":0.364562,"STS12":0.862443,"LEMBPasskeyRetrieval":0.89,"BUCC.v2":0.98925725,"SwahiliNewsClassification":0.656201,"BiorxivClusteringP2P.v2":0.508759,"STS14":0.905207,"BornholmBitextMining":0.760267,"FaroeseSTS":0.867066,"WikiCitiesClustering":0.811047,"NusaXBitextMining":0.8780089090909091,"STSBenchmark":0.936123,"StackOverflowQA":0.94503,"MultiEURLEXMultilabelClassification":0.044898260869565214,"NorwegianCourtsBitextMining":0.935673,"PlscClusteringP2P.v2":0.741634,"ToxicConversationsClassification":0.914795,"BrazilianToxicTweetsClassification":0.21001,"IndicLangClassification":0.307555,"News21InstructionRetrieval":0.056566,"GujaratiNewsClassification":0.907891,"SiswatiNewsClassification":0.59125,"STS17":0.9178522727272728,"NollySentiBitextMining":0.63795625,"STS15":0.938196,"TempReasonL1":0.01861,"MedrxivClusteringP2P.v2":0.456378,"TRECCOVID":0.9125,"NepaliNewsClassification":0.972656,"ArmenianParaphrasePC":0.968032,"AmazonCounterfactualClassification":0.92493175,"KorHateSpeechMLClassification":0.116249,"BelebeleRetrieval":0.8898725265957447,"AlloprofReranking":0.85399,"NordicLangClassification":0.9192,"StatcanDialogueDatasetRetrieval":0.48556999999999995,"RuBQReranking":0.76879,"STSES":0.748068,"WikiClusteringP2P.v2":0.322285,"FinParaSTS":0.34560100000000005,"OpusparcusPC":0.9616874166666666,"CataloniaTweetClassification":0.526496,"GermanSTSBenchmark":0.9003365,"SwissJudgementClassification":0.5952143333333333,"MLQARetrieval":0.8127270408163265,"SwednClusteringP2P":0.5778844999999999,"DBpediaClassification":0.966406,"HagridRetrieval":0.98747,"TswanaNewsClassification":0.397947,"WikipediaRetrievalMultilingual":0.922529375,"ArguAna":0.78308,"MIRACLRetrievalHardNegatives":0.6360433333333333,"IsiZuluNewsClassification":0.277128,"DiaBlaBitextMining":0.868581,"LegalBenchCorporateLobbying":0.95488,"EstonianValenceClassification":0.43423,"SinhalaNewsClassification":0.759863,"SprintDuplicateQuestions":0.956163,"CovidRetrieval":0.86235,"IndicCrosslingualSTS":0.61882,"Core17InstructionRetrieval":0.117965,"RTE3":0.9053027499999999,"BibleNLPBitextMining":0.26328749939613527,"AfriSentiClassification":0.45985516666666665,"PAC":0.639125,"VoyageMMarcoReranking":0.68,"GreekLegalCodeClassification":0.5432865,"KurdishSentimentClassification":0.785959,"Robust04InstructionRetrieval":0.092357,"TERRa":0.664144,"indonli":0.642407,"SpartQA":0.15902,"SentimentAnalysisHindi":0.623031,"ItaCaseholdClassification":0.71629,"OdiaNewsClassification":0.917946,"MasakhaNEWSClassification":0.8315541875,"FinancialPhrasebankClassification":0.849337,"ArXivHierarchicalClusteringP2P":0.647165,"CLSClusteringP2P.v2":0.748929,"CTKFactsNLI":0.866684,"JSICK":0.896312,"STSB":0.8629739999999999,"FloresBitextMining":0.7639460707765865,"MacedonianTweetSentimentClassification":0.684987,"TweetTopicSingleClassification":0.764324,"SIB200ClusteringS2S":0.4640589543147208,"HALClusteringS2S.v2":0.308877,"BulgarianStoreReviewSentimentClassfication":0.69011,"CzechProductReviewSentimentClassification":0.578613,"PawsXPairClassification":0.7280710714285714,"FilipinoShopeeReviewsClassification":0.399048,"SemRel24STS":0.643686,"BigPatentClustering.v2":0.314571,"ArXivHierarchicalClusteringS2S":0.645489,"AILAStatutes":0.93133,"MultiHateClassification":0.7533272727272727,"MasakhaNEWSClusteringS2S":0.5669959375,"DalajClassification":0.510473,"T2Reranking":0.67138,"WebLINXCandidatesReranking":0.1740786666666667,"KorSarcasmClassification":0.596826,"NusaX-senti":0.7067708333333332,"StackExchangeClustering.v2":0.785487,"Tatoeba":0.7888474642857143,"PolEmo2.0-OUT":0.551012,"RomaniBibleClustering":0.423765,"STS22.v2":0.7395161666666668,"PoemSentimentClassification":0.5492355,"IndicGenBenchFloresBitextMining":0.9413211034482758},"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":0.6873617278219417,"meanTaskType":0.5944857590576849,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7696734158775252,"Classification":0.7299929750735812,"Clustering":0.6091413987462608,"PairClassification":0.8125542597402596,"Reranking":0.7048642152777777,"Retrieval":0.6650490588513774,"InstructionReranking":0.006187333333333334,"BitextMining":0.7715472876625268,"MultilabelClassification":0.2813618869565217},"scoresByTask":{"ScalaClassification":0.8469115,"IndonesianIdClickbaitClassification":0.656251,"SICK-R":0.821847,"SCIDOCS":0.28418,"PunjabiNewsClassification":0.835032,"AlloProfClusteringS2S.v2":0.572643,"SlovakMovieReviewSentimentClassification":0.926074,"WikipediaRerankingMultilingual":0.902998125,"NTREXBitextMining":0.8930264039665972,"NusaParagraphEmotionClassification":0.5512527,"MassiveIntentClassification":0.8672656372549019,"STS13":0.872257,"CyrillicTurkicLangClassification":0.926562,"CSFDSKMovieReviewSentimentClassification":0.529932,"XNLI":0.7686439642857144,"CEDRClassification":0.560786,"WinoGrande":0.76073,"IN22GenBitextMining":0.8035384090909091,"NusaTranslationBitextMining":0.806643090909091,"TwitterURLCorpus":0.867674,"PpcPC":0.932079,"TwitterHjerneRetrieval":0.87194,"MalteseNewsClassification":0.413278,"STS12":0.826486,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.9904045,"SwahiliNewsClassification":0.695557,"BiorxivClusteringP2P.v2":0.732015,"STS14":0.855616,"BornholmBitextMining":0.556476,"FaroeseSTS":0.79941,"WikiCitiesClustering":0.929703,"NusaXBitextMining":0.830792,"STSBenchmark":0.873982,"StackOverflowQA":0.97488,"MultiEURLEXMultilabelClassification":0.045190434782608695,"NorwegianCourtsBitextMining":0.929825,"PlscClusteringP2P.v2":0.750589,"ToxicConversationsClassification":0.909131,"BrazilianToxicTweetsClassification":0.249902,"IndicLangClassification":0.948932,"News21InstructionRetrieval":-0.000228,"GujaratiNewsClassification":0.923672,"SiswatiNewsClassification":0.6875,"STS17":0.8784991818181819,"NollySentiBitextMining":0.5740925,"STS15":0.897574,"TempReasonL1":0.02257,"MedrxivClusteringP2P.v2":0.586466,"TRECCOVID":0.58916,"NepaliNewsClassification":0.974023,"ArmenianParaphrasePC":0.96227,"AmazonCounterfactualClassification":0.917106875,"KorHateSpeechMLClassification":0.137653,"BelebeleRetrieval":0.8467527659574468,"AlloprofReranking":0.83439,"NordicLangClassification":0.851933,"StatcanDialogueDatasetRetrieval":0.38927,"RuBQReranking":0.78299,"STSES":0.772219,"WikiClusteringP2P.v2":0.30258728571428567,"FinParaSTS":0.207685,"OpusparcusPC":0.961135,"CataloniaTweetClassification":0.49740675,"GermanSTSBenchmark":0.864249,"SwissJudgementClassification":0.570769,"MLQARetrieval":0.7896059183673468,"SwednClusteringP2P":0.5416080000000001,"DBpediaClassification":0.910937,"HagridRetrieval":0.98822,"TswanaNewsClassification":0.38501,"WikipediaRetrievalMultilingual":0.917429375,"ArguAna":0.64975,"MIRACLRetrievalHardNegatives":0.648675,"IsiZuluNewsClassification":0.308112,"DiaBlaBitextMining":0.888207,"LegalBenchCorporateLobbying":0.95759,"EstonianValenceClassification":0.596455,"SinhalaNewsClassification":0.806543,"SprintDuplicateQuestions":0.951997,"CovidRetrieval":0.79063,"IndicCrosslingualSTS":0.6012326666666666,"Core17InstructionRetrieval":0.03305,"RTE3":0.88478525,"BibleNLPBitextMining":0.23511252355072465,"AfriSentiClassification":0.49486,"PAC":0.670953,"VoyageMMarcoReranking":0.83664,"GreekLegalCodeClassification":0.5149170000000001,"KurdishSentimentClassification":0.799044,"Robust04InstructionRetrieval":-0.01426,"TERRa":0.610385,"indonli":0.559287,"SpartQA":0.15449,"SentimentAnalysisHindi":0.771258,"ItaCaseholdClassification":0.730317,"OdiaNewsClassification":0.894737,"MasakhaNEWSClassification":0.839874375,"FinancialPhrasebankClassification":0.939929,"ArXivHierarchicalClusteringP2P":0.623108,"CLSClusteringP2P.v2":0.721875,"CTKFactsNLI":0.801865,"JSICK":0.845234,"STSB":0.8326395,"FloresBitextMining":0.7587198681300106,"MacedonianTweetSentimentClassification":0.673222,"TweetTopicSingleClassification":0.789073,"SIB200ClusteringS2S":0.7929137817258883,"HALClusteringS2S.v2":0.310469,"BulgarianStoreReviewSentimentClassfication":0.77967,"CzechProductReviewSentimentClassification":0.681836,"PawsXPairClassification":0.6379756428571428,"FilipinoShopeeReviewsClassification":0.47370599999999996,"SemRel24STS":0.68424125,"BigPatentClustering.v2":0.422131,"ArXivHierarchicalClusteringS2S":0.639114,"AILAStatutes":0.48501,"MultiHateClassification":0.749009090909091,"MasakhaNEWSClusteringS2S":0.5617133125,"DalajClassification":0.556081,"T2Reranking":0.67224,"WebLINXCandidatesReranking":0.19992716666666666,"KorSarcasmClassification":0.588623,"NusaX-senti":0.7660625,"StackExchangeClustering.v2":0.808444,"Tatoeba":0.827777125,"PolEmo2.0-OUT":0.798178,"RomaniBibleClustering":0.450883,"STS22.v2":0.6816030555555556,"PoemSentimentClassification":0.7559795,"IndicGenBenchFloresBitextMining":0.9355003189655172},"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":0.6808569286689073,"meanTaskType":0.589867865510114,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7647452517361111,"Classification":0.7193299235392572,"Clustering":0.6062085908635106,"PairClassification":0.8117999339826841,"Reranking":0.7033517986111111,"Retrieval":0.6614607120275218,"InstructionReranking":0.008482666666666666,"BitextMining":0.7596248773815554,"MultilabelClassification":0.2738070347826087},"scoresByTask":{"ScalaClassification":0.8081907500000001,"IndonesianIdClickbaitClassification":0.657691,"SICK-R":0.820451,"SCIDOCS":0.2797,"PunjabiNewsClassification":0.848408,"AlloProfClusteringS2S.v2":0.57628,"SlovakMovieReviewSentimentClassification":0.908594,"WikipediaRerankingMultilingual":0.896510625,"NTREXBitextMining":0.8801699206680584,"NusaParagraphEmotionClassification":0.5339201,"MassiveIntentClassification":0.855495068627451,"STS13":0.870365,"CyrillicTurkicLangClassification":0.893555,"CSFDSKMovieReviewSentimentClassification":0.514258,"XNLI":0.7660726428571428,"CEDRClassification":0.565781,"WinoGrande":0.73255,"IN22GenBitextMining":0.8002823478260869,"NusaTranslationBitextMining":0.8134520909090909,"TwitterURLCorpus":0.866204,"PpcPC":0.921184,"TwitterHjerneRetrieval":0.84405,"MalteseNewsClassification":0.411842,"STS12":0.820957,"LEMBPasskeyRetrieval":0.8475,"BUCC.v2":0.9905142499999999,"SwahiliNewsClassification":0.693115,"BiorxivClusteringP2P.v2":0.694199,"STS14":0.850931,"BornholmBitextMining":0.50611,"FaroeseSTS":0.787032,"WikiCitiesClustering":0.938566,"NusaXBitextMining":0.8285553636363635,"STSBenchmark":0.870324,"StackOverflowQA":0.97049,"MultiEURLEXMultilabelClassification":0.042492173913043475,"NorwegianCourtsBitextMining":0.932749,"PlscClusteringP2P.v2":0.741535,"ToxicConversationsClassification":0.911816,"BrazilianToxicTweetsClassification":0.213672,"IndicLangClassification":0.930827,"News21InstructionRetrieval":0.00983,"GujaratiNewsClassification":0.922307,"SiswatiNewsClassification":0.65375,"STS17":0.874954,"NollySentiBitextMining":0.5418665,"STS15":0.895518,"TempReasonL1":0.01722,"MedrxivClusteringP2P.v2":0.569607,"TRECCOVID":0.58647,"NepaliNewsClassification":0.970898,"ArmenianParaphrasePC":0.963098,"AmazonCounterfactualClassification":0.9169315,"KorHateSpeechMLClassification":0.135248,"BelebeleRetrieval":0.8357542819148935,"AlloprofReranking":0.82707,"NordicLangClassification":0.8195,"StatcanDialogueDatasetRetrieval":0.4871475,"RuBQReranking":0.77614,"STSES":0.766815,"WikiClusteringP2P.v2":0.30869871428571427,"FinParaSTS":0.185494,"OpusparcusPC":0.9586034166666667,"CataloniaTweetClassification":0.49520325,"GermanSTSBenchmark":0.8566119999999999,"SwissJudgementClassification":0.588843,"MLQARetrieval":0.7810036734693877,"SwednClusteringP2P":0.5506555,"DBpediaClassification":0.917529,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.385626,"WikipediaRetrievalMultilingual":0.91080125,"ArguAna":0.63,"MIRACLRetrievalHardNegatives":0.6493361111111111,"IsiZuluNewsClassification":0.296676,"DiaBlaBitextMining":0.88719,"LegalBenchCorporateLobbying":0.9478,"EstonianValenceClassification":0.585086,"SinhalaNewsClassification":0.807373,"SprintDuplicateQuestions":0.958743,"CovidRetrieval":0.79544,"IndicCrosslingualSTS":0.580055,"Core17InstructionRetrieval":0.029102,"RTE3":0.8837645000000001,"BibleNLPBitextMining":0.22112534239130432,"AfriSentiClassification":0.47730183333333337,"PAC":0.672024,"VoyageMMarcoReranking":0.82174,"GreekLegalCodeClassification":0.4581785,"KurdishSentimentClassification":0.78314,"Robust04InstructionRetrieval":-0.013484,"TERRa":0.615076,"indonli":0.560164,"SpartQA":0.15228,"SentimentAnalysisHindi":0.767775,"ItaCaseholdClassification":0.721719,"OdiaNewsClassification":0.892642,"MasakhaNEWSClassification":0.8357819375,"FinancialPhrasebankClassification":0.937853,"ArXivHierarchicalClusteringP2P":0.634989,"CLSClusteringP2P.v2":0.721963,"CTKFactsNLI":0.8031005,"JSICK":0.850693,"STSB":0.8304279999999999,"FloresBitextMining":0.736840101613059,"MacedonianTweetSentimentClassification":0.667515,"TweetTopicSingleClassification":0.78293,"SIB200ClusteringS2S":0.7764768020304568,"HALClusteringS2S.v2":0.315922,"BulgarianStoreReviewSentimentClassfication":0.768681,"CzechProductReviewSentimentClassification":0.664355,"PawsXPairClassification":0.6337892142857143,"FilipinoShopeeReviewsClassification":0.46945800000000004,"SemRel24STS":0.6793500833333334,"BigPatentClustering.v2":0.399926,"ArXivHierarchicalClusteringS2S":0.643986,"AILAStatutes":0.44979,"MultiHateClassification":0.7454272727272727,"MasakhaNEWSClusteringS2S":0.5867374375,"DalajClassification":0.53491,"T2Reranking":0.67406,"WebLINXCandidatesReranking":0.22459016666666665,"KorSarcasmClassification":0.610986,"NusaX-senti":0.7635624999999999,"StackExchangeClustering.v2":0.803826,"Tatoeba":0.8104379285714286,"PolEmo2.0-OUT":0.790081,"RomaniBibleClustering":0.43597,"STS22.v2":0.6959449444444444,"PoemSentimentClassification":0.671273,"IndicGenBenchFloresBitextMining":0.9258305603448276},"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":{"STS":0.7708862173295454,"Classification":0.7387618735185301,"Clustering":0.5400164976403871,"PairClassification":0.8206734534632034,"Reranking":0.6315629930555556,"Retrieval":0.7075393197714468,"InstructionReranking":0.008062,"BitextMining":0.8284715221893226,"MultilabelClassification":0.2636758695652174},"scoresByTask":{"ScalaClassification":0.7287475,"IndonesianIdClickbaitClassification":0.664947,"SICK-R":0.838217,"SCIDOCS":0.23365,"PunjabiNewsClassification":0.802548,"AlloProfClusteringS2S.v2":0.498414,"SlovakMovieReviewSentimentClassification":0.922363,"WikipediaRerankingMultilingual":0.840655625,"NTREXBitextMining":0.9321788731732776,"NusaParagraphEmotionClassification":0.6768332,"MassiveIntentClassification":0.6667087647058824,"STS13":0.879525,"CyrillicTurkicLangClassification":0.9875,"CSFDSKMovieReviewSentimentClassification":0.601709,"XNLI":0.8335712142857143,"CEDRClassification":0.479702,"WinoGrande":0.83684,"IN22GenBitextMining":0.8236755553359684,"NusaTranslationBitextMining":0.8500775454545455,"TwitterURLCorpus":0.867927,"PpcPC":0.927231,"TwitterHjerneRetrieval":0.6434,"MalteseNewsClassification":0.381976,"STS12":0.809755,"LEMBPasskeyRetrieval":0.7675,"BUCC.v2":0.98795225,"SwahiliNewsClassification":0.593799,"BiorxivClusteringP2P.v2":0.504051,"STS14":0.845685,"BornholmBitextMining":0.6928,"FaroeseSTS":0.788753,"WikiCitiesClustering":0.930233,"NusaXBitextMining":0.8537570909090909,"STSBenchmark":0.893199,"StackOverflowQA":0.93694,"MultiEURLEXMultilabelClassification":0.05402434782608695,"NorwegianCourtsBitextMining":0.930556,"PlscClusteringP2P.v2":0.730573,"ToxicConversationsClassification":0.910205,"BrazilianToxicTweetsClassification":0.276953,"IndicLangClassification":0.984466,"News21InstructionRetrieval":0.008,"GujaratiNewsClassification":0.871472,"SiswatiNewsClassification":0.56,"STS17":0.8653647272727273,"NollySentiBitextMining":0.819632,"STS15":0.901548,"TempReasonL1":0.3191,"MedrxivClusteringP2P.v2":0.43613,"TRECCOVID":0.86952,"NepaliNewsClassification":0.958008,"ArmenianParaphrasePC":0.945325,"AmazonCounterfactualClassification":0.925338625,"KorHateSpeechMLClassification":0.125724,"BelebeleRetrieval":0.774189255319149,"AlloprofReranking":0.77904,"NordicLangClassification":0.935667,"StatcanDialogueDatasetRetrieval":0.4701375,"RuBQReranking":0.73921,"STSES":0.790986,"WikiClusteringP2P.v2":0.313977,"FinParaSTS":0.238404,"OpusparcusPC":0.9458826666666668,"CataloniaTweetClassification":0.70048775,"GermanSTSBenchmark":0.856786,"SwissJudgementClassification":0.7463403333333334,"MLQARetrieval":0.729975306122449,"SwednClusteringP2P":0.523969,"DBpediaClassification":0.989404,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.515606,"WikipediaRetrievalMultilingual":0.85075625,"ArguAna":0.64987,"MIRACLRetrievalHardNegatives":0.6635294444444445,"IsiZuluNewsClassification":0.368085,"DiaBlaBitextMining":0.858162,"LegalBenchCorporateLobbying":0.94247,"EstonianValenceClassification":0.584963,"SinhalaNewsClassification":0.736426,"SprintDuplicateQuestions":0.969434,"CovidRetrieval":0.83566,"IndicCrosslingualSTS":0.5328328333333333,"Core17InstructionRetrieval":0.028896,"RTE3":0.8898757500000001,"BibleNLPBitextMining":0.4064919365942029,"AfriSentiClassification":0.453382,"PAC":0.752853,"VoyageMMarcoReranking":0.63408,"GreekLegalCodeClassification":0.612085,"KurdishSentimentClassification":0.879165,"Robust04InstructionRetrieval":-0.01271,"TERRa":0.643316,"indonli":0.585202,"SpartQA":0.84689,"SentimentAnalysisHindi":0.681506,"ItaCaseholdClassification":0.787783,"OdiaNewsClassification":0.954217,"MasakhaNEWSClassification":0.8486668125,"FinancialPhrasebankClassification":0.951899,"ArXivHierarchicalClusteringP2P":0.633023,"CLSClusteringP2P.v2":0.599507,"CTKFactsNLI":0.8238620000000001,"JSICK":0.858272,"STSB":0.8358835,"FloresBitextMining":0.86347741753598,"MacedonianTweetSentimentClassification":0.665584,"TweetTopicSingleClassification":0.786119,"SIB200ClusteringS2S":0.4621556497461929,"HALClusteringS2S.v2":0.29833,"BulgarianStoreReviewSentimentClassfication":0.78956,"CzechProductReviewSentimentClassification":0.704883,"PawsXPairClassification":0.5957813571428572,"FilipinoShopeeReviewsClassification":0.4326175,"SemRel24STS":0.6776235833333333,"BigPatentClustering.v2":0.37607,"ArXivHierarchicalClusteringS2S":0.629247,"AILAStatutes":0.37692,"MultiHateClassification":0.649190909090909,"MasakhaNEWSClusteringS2S":0.5176043124999999,"DalajClassification":0.503153,"T2Reranking":0.6696,"WebLINXCandidatesReranking":0.1267923333333333,"KorSarcasmClassification":0.680566,"NusaX-senti":0.6651666666666667,"StackExchangeClustering.v2":0.774782,"Tatoeba":0.7951792142857144,"PolEmo2.0-OUT":0.704656,"RomaniBibleClustering":0.412198,"STS22.v2":0.7213448333333333,"PoemSentimentClassification":0.8320835,"IndicGenBenchFloresBitextMining":0.9561899051724139},"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":0.7025908463665075,"meanTaskType":0.6134094663277961,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7592164709595959,"Classification":0.7674938980920699,"Clustering":0.5678497389101025,"PairClassification":0.8550354632034632,"Reranking":0.6623974131944445,"Retrieval":0.660455045344773,"InstructionReranking":-0.00017033333333333253,"BitextMining":0.7868265005790488,"MultilabelClassification":0.46158099999999996},"scoresByTask":{"ScalaClassification":0.519458,"IndonesianIdClickbaitClassification":0.610702,"SICK-R":0.853409,"SCIDOCS":0.25827,"PunjabiNewsClassification":0.887898,"AlloProfClusteringS2S.v2":0.544464,"SlovakMovieReviewSentimentClassification":0.953906,"WikipediaRerankingMultilingual":0.9085308125,"NTREXBitextMining":0.8624202651356994,"NusaParagraphEmotionClassification":0.8374283,"MassiveIntentClassification":0.7289910490196079,"STS13":0.907732,"CyrillicTurkicLangClassification":0.974463,"CSFDSKMovieReviewSentimentClassification":0.615186,"XNLI":0.9290912857142857,"CEDRClassification":0.530871,"WinoGrande":0.76763,"IN22GenBitextMining":0.7779315158102768,"NusaTranslationBitextMining":0.8991632727272727,"TwitterURLCorpus":0.868772,"PpcPC":0.93156,"TwitterHjerneRetrieval":0.65162,"MalteseNewsClassification":0.693774,"STS12":0.829333,"LEMBPasskeyRetrieval":0.9924999999999999,"BUCC.v2":0.989061,"SwahiliNewsClassification":0.551904,"BiorxivClusteringP2P.v2":0.546996,"STS14":0.901132,"BornholmBitextMining":0.689371,"FaroeseSTS":0.746404,"WikiCitiesClustering":0.889361,"NusaXBitextMining":0.9055963636363636,"STSBenchmark":0.894044,"StackOverflowQA":0.972,"MultiEURLEXMultilabelClassification":0.09684000000000001,"NorwegianCourtsBitextMining":0.921053,"PlscClusteringP2P.v2":0.74346,"ToxicConversationsClassification":0.950293,"BrazilianToxicTweetsClassification":0.223926,"IndicLangClassification":0.993027,"News21InstructionRetrieval":0.004163,"GujaratiNewsClassification":0.934294,"SiswatiNewsClassification":0.5825,"STS17":0.8160330909090909,"NollySentiBitextMining":0.71593375,"STS15":0.914017,"TempReasonL1":0.02758,"MedrxivClusteringP2P.v2":0.487783,"TRECCOVID":0.61935,"NepaliNewsClassification":0.963574,"ArmenianParaphrasePC":0.925133,"AmazonCounterfactualClassification":0.96477125,"KorHateSpeechMLClassification":0.762494,"BelebeleRetrieval":0.7900444414893617,"AlloprofReranking":0.799649,"NordicLangClassification":0.917167,"StatcanDialogueDatasetRetrieval":0.3923375,"RuBQReranking":0.765125,"STSES":0.786971,"WikiClusteringP2P.v2":0.31482935714285715,"FinParaSTS":0.314212,"OpusparcusPC":0.9342029166666667,"CataloniaTweetClassification":0.77896975,"GermanSTSBenchmark":0.8649045,"SwissJudgementClassification":0.779127,"MLQARetrieval":0.8247273469387755,"SwednClusteringP2P":0.546052,"DBpediaClassification":0.989746,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.641684,"WikipediaRetrievalMultilingual":0.91809875,"ArguAna":0.80638,"MIRACLRetrievalHardNegatives":0.5923827777777778,"IsiZuluNewsClassification":0.267819,"DiaBlaBitextMining":0.873468,"LegalBenchCorporateLobbying":0.9569,"EstonianValenceClassification":0.586553,"SinhalaNewsClassification":0.722998,"SprintDuplicateQuestions":0.937493,"CovidRetrieval":0.85765,"IndicCrosslingualSTS":0.32307625,"Core17InstructionRetrieval":0.016382,"RTE3":0.91730575,"BibleNLPBitextMining":0.19014438405797102,"AfriSentiClassification":0.524508,"PAC":0.88106,"VoyageMMarcoReranking":0.661251,"GreekLegalCodeClassification":0.8052490000000001,"KurdishSentimentClassification":0.940262,"Robust04InstructionRetrieval":-0.021056,"TERRa":0.659561,"indonli":0.672246,"SpartQA":0.20477,"SentimentAnalysisHindi":0.734655,"ItaCaseholdClassification":0.853394,"OdiaNewsClassification":0.971494,"MasakhaNEWSClassification":0.900903875,"FinancialPhrasebankClassification":0.901369,"ArXivHierarchicalClusteringP2P":0.650779,"CLSClusteringP2P.v2":0.701349,"CTKFactsNLI":0.874297,"JSICK":0.88298,"STSB":0.840857,"FloresBitextMining":0.7283550737708877,"MacedonianTweetSentimentClassification":0.674012,"TweetTopicSingleClassification":0.856113,"SIB200ClusteringS2S":0.3975675279187817,"HALClusteringS2S.v2":0.290711,"BulgarianStoreReviewSentimentClassfication":0.730769,"CzechProductReviewSentimentClassification":0.766748,"PawsXPairClassification":0.7557281428571428,"FilipinoShopeeReviewsClassification":0.5080325,"SemRel24STS":0.5823615833333333,"BigPatentClustering.v2":0.402018,"ArXivHierarchicalClusteringS2S":0.634703,"AILAStatutes":0.26699,"MultiHateClassification":0.6673727272727272,"MasakhaNEWSClusteringS2S":0.7365069375,"DalajClassification":0.496284,"T2Reranking":0.660635,"WebLINXCandidatesReranking":0.17919366666666667,"KorSarcasmClassification":0.550635,"NusaX-senti":0.8482291666666667,"StackExchangeClustering.v2":0.777819,"Tatoeba":0.7595810892857143,"PolEmo2.0-OUT":0.774494,"RomaniBibleClustering":0.421197,"STS22.v2":0.6899971111111111,"PoemSentimentClassification":0.864194,"IndicGenBenchFloresBitextMining":0.9166657931034482},"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":{"STS":0.7591437910353536,"Classification":0.7072659510285827,"Clustering":0.5952918458065175,"PairClassification":0.805119211038961,"Reranking":0.6938075416666667,"Retrieval":0.6483662065767009,"InstructionReranking":0.022494333333333335,"BitextMining":0.7448752463759896,"MultilabelClassification":0.2658182956521739},"scoresByTask":{"ScalaClassification":0.7856445,"IndonesianIdClickbaitClassification":0.639107,"SICK-R":0.811879,"SCIDOCS":0.26771,"PunjabiNewsClassification":0.840764,"AlloProfClusteringS2S.v2":0.552871,"SlovakMovieReviewSentimentClassification":0.905225,"WikipediaRerankingMultilingual":0.89397875,"NTREXBitextMining":0.8627280970772443,"NusaParagraphEmotionClassification":0.5009840999999999,"MassiveIntentClassification":0.8502990196078432,"STS13":0.867143,"CyrillicTurkicLangClassification":0.861719,"CSFDSKMovieReviewSentimentClassification":0.497559,"XNLI":0.76090075,"CEDRClassification":0.561052,"WinoGrande":0.68819,"IN22GenBitextMining":0.7879611185770751,"NusaTranslationBitextMining":0.798752,"TwitterURLCorpus":0.864781,"PpcPC":0.904574,"TwitterHjerneRetrieval":0.8171,"MalteseNewsClassification":0.400131,"STS12":0.824698,"LEMBPasskeyRetrieval":0.845,"BUCC.v2":0.98992475,"SwahiliNewsClassification":0.706641,"BiorxivClusteringP2P.v2":0.717721,"STS14":0.847994,"BornholmBitextMining":0.500376,"FaroeseSTS":0.76719,"WikiCitiesClustering":0.937327,"NusaXBitextMining":0.8098796363636364,"STSBenchmark":0.873113,"StackOverflowQA":0.96748,"MultiEURLEXMultilabelClassification":0.04628347826086956,"NorwegianCourtsBitextMining":0.943713,"PlscClusteringP2P.v2":0.745551,"ToxicConversationsClassification":0.906689,"BrazilianToxicTweetsClassification":0.222803,"IndicLangClassification":0.910481,"News21InstructionRetrieval":0.033071,"GujaratiNewsClassification":0.901517,"SiswatiNewsClassification":0.7075,"STS17":0.8661935454545454,"NollySentiBitextMining":0.50479025,"STS15":0.89609,"TempReasonL1":0.0146,"MedrxivClusteringP2P.v2":0.566631,"TRECCOVID":0.57698,"NepaliNewsClassification":0.962207,"ArmenianParaphrasePC":0.957231,"AmazonCounterfactualClassification":0.921511,"KorHateSpeechMLClassification":0.098822,"BelebeleRetrieval":0.8108053989361701,"AlloprofReranking":0.82254,"NordicLangClassification":0.746867,"StatcanDialogueDatasetRetrieval":0.48644,"RuBQReranking":0.76431,"STSES":0.777008,"WikiClusteringP2P.v2":0.3098368571428572,"FinParaSTS":0.1746305,"OpusparcusPC":0.9541210000000001,"CataloniaTweetClassification":0.48355475000000003,"GermanSTSBenchmark":0.850501,"SwissJudgementClassification":0.5953743333333333,"MLQARetrieval":0.772,"SwednClusteringP2P":0.5252745,"DBpediaClassification":0.900684,"HagridRetrieval":0.98822,"TswanaNewsClassification":0.335318,"WikipediaRetrievalMultilingual":0.907996875,"ArguAna":0.62393,"MIRACLRetrievalHardNegatives":0.6380494444444444,"IsiZuluNewsClassification":0.293484,"DiaBlaBitextMining":0.884068,"LegalBenchCorporateLobbying":0.94481,"EstonianValenceClassification":0.569927,"SinhalaNewsClassification":0.781055,"SprintDuplicateQuestions":0.942027,"CovidRetrieval":0.78907,"IndicCrosslingualSTS":0.5358384166666667,"Core17InstructionRetrieval":0.035162,"RTE3":0.8796775,"BibleNLPBitextMining":0.21038889371980674,"AfriSentiClassification":0.45498616666666664,"PAC":0.669968,"VoyageMMarcoReranking":0.81735,"GreekLegalCodeClassification":0.4737305,"KurdishSentimentClassification":0.742526,"Robust04InstructionRetrieval":-0.00075,"TERRa":0.610987,"indonli":0.555603,"SpartQA":0.1276,"SentimentAnalysisHindi":0.770222,"ItaCaseholdClassification":0.715385,"OdiaNewsClassification":0.862149,"MasakhaNEWSClassification":0.8116448125,"FinancialPhrasebankClassification":0.929549,"ArXivHierarchicalClusteringP2P":0.634415,"CLSClusteringP2P.v2":0.73003,"CTKFactsNLI":0.7901455,"JSICK":0.849491,"STSB":0.828084,"FloresBitextMining":0.7040859602289191,"MacedonianTweetSentimentClassification":0.657594,"TweetTopicSingleClassification":0.773479,"SIB200ClusteringS2S":0.7612180507614213,"HALClusteringS2S.v2":0.30281,"BulgarianStoreReviewSentimentClassfication":0.783516,"CzechProductReviewSentimentClassification":0.662354,"PawsXPairClassification":0.6362635714285715,"FilipinoShopeeReviewsClassification":0.4512695,"SemRel24STS":0.6711099166666666,"BigPatentClustering.v2":0.396532,"ArXivHierarchicalClusteringS2S":0.619551,"AILAStatutes":0.40461,"MultiHateClassification":0.7194545454545455,"MasakhaNEWSClusteringS2S":0.515429125,"DalajClassification":0.529505,"T2Reranking":0.67272,"WebLINXCandidatesReranking":0.19194650000000002,"KorSarcasmClassification":0.580957,"NusaX-senti":0.7394166666666666,"StackExchangeClustering.v2":0.78668,"Tatoeba":0.7772081607142857,"PolEmo2.0-OUT":0.771053,"RomaniBibleClustering":0.422792,"STS22.v2":0.7053372777777778,"PoemSentimentClassification":0.709565,"IndicGenBenchFloresBitextMining":0.9095023362068965},"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":{"STS":0.7468451412563131,"Classification":0.686322462672035,"Clustering":0.5609909299226115,"PairClassification":0.8233255324675324,"Reranking":0.6778992638888889,"Retrieval":0.6407919116855765,"InstructionReranking":0.008983666666666668,"BitextMining":0.7047076932074879,"MultilabelClassification":0.34022824347826086},"scoresByTask":{"ScalaClassification":0.5096925,"IndonesianIdClickbaitClassification":0.630905,"SICK-R":0.839327,"SCIDOCS":0.22241,"PunjabiNewsClassification":0.810828,"AlloProfClusteringS2S.v2":0.557776,"SlovakMovieReviewSentimentClassification":0.90332,"WikipediaRerankingMultilingual":0.9209437500000001,"NTREXBitextMining":0.7925378199373695,"NusaParagraphEmotionClassification":0.4494516,"MassiveIntentClassification":0.7229407058823529,"STS13":0.884394,"CyrillicTurkicLangClassification":0.910596,"CSFDSKMovieReviewSentimentClassification":0.491943,"XNLI":0.776143,"CEDRClassification":0.738098,"WinoGrande":0.55809,"IN22GenBitextMining":0.7024545513833992,"NusaTranslationBitextMining":0.7870837272727272,"TwitterURLCorpus":0.871407,"PpcPC":0.909081,"TwitterHjerneRetrieval":0.78242,"MalteseNewsClassification":0.357423,"STS12":0.752841,"LEMBPasskeyRetrieval":0.7375,"BUCC.v2":0.9901340000000001,"SwahiliNewsClassification":0.597314,"BiorxivClusteringP2P.v2":0.561402,"STS14":0.839495,"BornholmBitextMining":0.579467,"FaroeseSTS":0.768241,"WikiCitiesClustering":0.902516,"NusaXBitextMining":0.7053590000000001,"STSBenchmark":0.883078,"StackOverflowQA":0.95991,"MultiEURLEXMultilabelClassification":0.05232521739130435,"NorwegianCourtsBitextMining":0.924708,"PlscClusteringP2P.v2":0.754521,"ToxicConversationsClassification":0.906104,"BrazilianToxicTweetsClassification":0.339795,"IndicLangClassification":0.827046,"News21InstructionRetrieval":0.014961,"GujaratiNewsClassification":0.792868,"SiswatiNewsClassification":0.5625,"STS17":0.8730994545454546,"NollySentiBitextMining":0.46009125,"STS15":0.892201,"TempReasonL1":0.02794,"MedrxivClusteringP2P.v2":0.51884,"TRECCOVID":0.86953,"NepaliNewsClassification":0.960498,"ArmenianParaphrasePC":0.96942,"AmazonCounterfactualClassification":0.9052215,"KorHateSpeechMLClassification":0.2135,"BelebeleRetrieval":0.7460936436170212,"AlloprofReranking":0.81056,"NordicLangClassification":0.6892,"StatcanDialogueDatasetRetrieval":0.438045,"RuBQReranking":0.80881,"STSES":0.768542,"WikiClusteringP2P.v2":0.3176929285714286,"FinParaSTS":0.21939199999999998,"OpusparcusPC":0.9557064999999999,"CataloniaTweetClassification":0.44192375,"GermanSTSBenchmark":0.8679874999999999,"SwissJudgementClassification":0.5886406666666667,"MLQARetrieval":0.7519065306122449,"SwednClusteringP2P":0.5576865,"DBpediaClassification":0.988574,"HagridRetrieval":0.9887,"TswanaNewsClassification":0.384394,"WikipediaRetrievalMultilingual":0.929658125,"ArguAna":0.54237,"MIRACLRetrievalHardNegatives":0.6739511111111111,"IsiZuluNewsClassification":0.298271,"DiaBlaBitextMining":0.880393,"LegalBenchCorporateLobbying":0.94131,"EstonianValenceClassification":0.577262,"SinhalaNewsClassification":0.641553,"SprintDuplicateQuestions":0.959471,"CovidRetrieval":0.78777,"IndicCrosslingualSTS":0.32453808333333334,"Core17InstructionRetrieval":0.038271,"RTE3":0.907755,"BibleNLPBitextMining":0.15391270471014493,"AfriSentiClassification":0.44998183333333336,"PAC":0.7245,"VoyageMMarcoReranking":0.71196,"GreekLegalCodeClassification":0.353271,"KurdishSentimentClassification":0.744741,"Robust04InstructionRetrieval":-0.026281,"TERRa":0.716034,"indonli":0.557151,"SpartQA":0.15151,"SentimentAnalysisHindi":0.740418,"ItaCaseholdClassification":0.719457,"OdiaNewsClassification":0.694874,"MasakhaNEWSClassification":0.8158886875,"FinancialPhrasebankClassification":0.999028,"ArXivHierarchicalClusteringP2P":0.673502,"CLSClusteringP2P.v2":0.474329,"CTKFactsNLI":0.8275794999999999,"JSICK":0.817438,"STSB":0.838695,"FloresBitextMining":0.6244965827779387,"MacedonianTweetSentimentClassification":0.670852,"TweetTopicSingleClassification":0.874483,"SIB200ClusteringS2S":0.5785695126903554,"HALClusteringS2S.v2":0.313573,"BulgarianStoreReviewSentimentClassfication":0.777473,"CzechProductReviewSentimentClassification":0.632373,"PawsXPairClassification":0.6068328571428572,"FilipinoShopeeReviewsClassification":0.45510249999999997,"SemRel24STS":0.6635158333333333,"BigPatentClustering.v2":0.39942,"ArXivHierarchicalClusteringS2S":0.662569,"AILAStatutes":0.42514,"MultiHateClassification":0.8263818181818181,"MasakhaNEWSClusteringS2S":0.5568039375,"DalajClassification":0.500113,"T2Reranking":0.66983,"WebLINXCandidatesReranking":0.14529183333333331,"KorSarcasmClassification":0.585449,"NusaX-senti":0.7137083333333334,"StackExchangeClustering.v2":0.721469,"Tatoeba":0.7233251428571429,"PolEmo2.0-OUT":0.75081,"RomaniBibleClustering":0.425185,"STS22.v2":0.7167373888888888,"PoemSentimentClassification":0.8919140000000001,"IndicGenBenchFloresBitextMining":0.8372372327586206},"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":0.5889679796692373,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7884922504734848,"Classification":0.7131957477780542,"Clustering":0.5340960235678027,"PairClassification":0.829295317099567,"Reranking":0.6565762986111111,"Retrieval":0.6487566807736687,"InstructionReranking":0.013450666666666666,"BitextMining":0.6971184755310418,"MultilabelClassification":0.41973035652173907},"scoresByTask":{"ScalaClassification":0.50225825,"IndonesianIdClickbaitClassification":0.577405,"SICK-R":0.916214,"SCIDOCS":0.2304,"PunjabiNewsClassification":0.885987,"AlloProfClusteringS2S.v2":0.530348,"SlovakMovieReviewSentimentClassification":0.876855,"WikipediaRerankingMultilingual":0.894645625,"NTREXBitextMining":0.7654576863256786,"NusaParagraphEmotionClassification":0.7583689,"MassiveIntentClassification":0.8532451862745097,"STS13":0.886952,"CyrillicTurkicLangClassification":0.976025,"CSFDSKMovieReviewSentimentClassification":0.466504,"XNLI":0.8242406785714286,"CEDRClassification":0.650053,"WinoGrande":0.58647,"IN22GenBitextMining":0.7486187588932806,"NusaTranslationBitextMining":0.7010277272727273,"TwitterURLCorpus":0.859878,"PpcPC":0.933517,"TwitterHjerneRetrieval":0.71545,"MalteseNewsClassification":0.569613,"STS12":0.851146,"LEMBPasskeyRetrieval":0.805,"BUCC.v2":0.98669925,"SwahiliNewsClassification":0.546094,"BiorxivClusteringP2P.v2":0.476539,"STS14":0.884952,"BornholmBitextMining":0.779778,"FaroeseSTS":0.769009,"WikiCitiesClustering":0.897629,"NusaXBitextMining":0.6922377272727273,"STSBenchmark":0.9483,"StackOverflowQA":0.93394,"MultiEURLEXMultilabelClassification":0.06555478260869566,"NorwegianCourtsBitextMining":0.940789,"PlscClusteringP2P.v2":0.744249,"ToxicConversationsClassification":0.93667,"BrazilianToxicTweetsClassification":0.212646,"IndicLangClassification":0.979565,"News21InstructionRetrieval":0.032392,"GujaratiNewsClassification":0.929666,"SiswatiNewsClassification":0.46625,"STS17":0.8718240909090909,"NollySentiBitextMining":0.38815775,"STS15":0.925753,"TempReasonL1":0.00928,"MedrxivClusteringP2P.v2":0.435063,"TRECCOVID":0.78486,"NepaliNewsClassification":0.995264,"ArmenianParaphrasePC":0.944631,"AmazonCounterfactualClassification":0.942928625,"KorHateSpeechMLClassification":0.600785,"BelebeleRetrieval":0.7751298670212765,"AlloprofReranking":0.81386,"NordicLangClassification":0.8812,"StatcanDialogueDatasetRetrieval":0.462555,"RuBQReranking":0.74894,"STSES":0.812281,"WikiClusteringP2P.v2":0.3080832857142857,"FinParaSTS":0.3305565,"OpusparcusPC":0.9411844166666666,"CataloniaTweetClassification":0.6594015,"GermanSTSBenchmark":0.9096785000000001,"SwissJudgementClassification":0.6611556666666667,"MLQARetrieval":0.7758764285714285,"SwednClusteringP2P":0.5759890000000001,"DBpediaClassification":0.982715,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.537782,"WikipediaRetrievalMultilingual":0.905845625,"ArguAna":0.65071,"MIRACLRetrievalHardNegatives":0.6658633333333334,"IsiZuluNewsClassification":0.199069,"DiaBlaBitextMining":0.848277,"LegalBenchCorporateLobbying":0.93997,"EstonianValenceClassification":0.560513,"SinhalaNewsClassification":0.525195,"SprintDuplicateQuestions":0.965576,"CovidRetrieval":0.80104,"IndicCrosslingualSTS":0.47799691666666666,"Core17InstructionRetrieval":0.024037,"RTE3":0.89703925,"BibleNLPBitextMining":0.13564997463768116,"AfriSentiClassification":0.3665820833333333,"PAC":0.869939,"VoyageMMarcoReranking":0.68835,"GreekLegalCodeClassification":0.6495605,"KurdishSentimentClassification":0.934071,"Robust04InstructionRetrieval":-0.016077,"TERRa":0.673056,"indonli":0.599727,"SpartQA":0.11454,"SentimentAnalysisHindi":0.442894,"ItaCaseholdClassification":0.909502,"OdiaNewsClassification":0.958481,"MasakhaNEWSClassification":0.868680625,"FinancialPhrasebankClassification":0.634099,"ArXivHierarchicalClusteringP2P":0.657904,"CLSClusteringP2P.v2":0.507139,"CTKFactsNLI":0.8268715,"JSICK":0.81305,"STSB":0.899151,"FloresBitextMining":0.5798888989423355,"MacedonianTweetSentimentClassification":0.676734,"TweetTopicSingleClassification":0.863142,"SIB200ClusteringS2S":0.40519209137055834,"HALClusteringS2S.v2":0.316887,"BulgarianStoreReviewSentimentClassfication":0.748352,"CzechProductReviewSentimentClassification":0.636279,"PawsXPairClassification":0.6565276428571429,"FilipinoShopeeReviewsClassification":0.4191895,"SemRel24STS":0.6093163333333333,"BigPatentClustering.v2":0.425871,"ArXivHierarchicalClusteringS2S":0.62706,"AILAStatutes":0.533,"MultiHateClassification":0.5834818181818182,"MasakhaNEWSClusteringS2S":0.532397,"DalajClassification":0.498761,"T2Reranking":0.68041,"WebLINXCandidatesReranking":0.11325216666666667,"KorSarcasmClassification":0.552344,"NusaX-senti":0.7973125,"StackExchangeClustering.v2":0.701319,"Tatoeba":0.6113075982142858,"PolEmo2.0-OUT":0.738664,"RomaniBibleClustering":0.403867,"STS22.v2":0.7096956666666666,"PoemSentimentClassification":0.819231,"IndicGenBenchFloresBitextMining":0.8846508103448276},"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":{"STS":0.7884922504734848,"Clustering":0.5340960235678027,"Reranking":0.6565762986111111,"Retrieval":0.6487566807736687,"InstructionReranking":0.013450666666666666,"BitextMining":0.6971184755310418,"MultilabelClassification":0.41973035652173907},"scoresByTask":{"ScalaClassification":0.50225825,"IndonesianIdClickbaitClassification":0.577405,"SICK-R":0.916214,"SCIDOCS":0.2304,"PunjabiNewsClassification":0.885987,"AlloProfClusteringS2S.v2":0.530348,"SlovakMovieReviewSentimentClassification":0.876855,"WikipediaRerankingMultilingual":0.894645625,"NTREXBitextMining":0.7654576863256786,"NusaParagraphEmotionClassification":0.7583689,"STS13":0.886952,"CyrillicTurkicLangClassification":0.976025,"CSFDSKMovieReviewSentimentClassification":0.466504,"XNLI":0.8242406785714286,"CEDRClassification":0.650053,"WinoGrande":0.58647,"IN22GenBitextMining":0.7486187588932806,"NusaTranslationBitextMining":0.7010277272727273,"TwitterURLCorpus":0.859878,"PpcPC":0.933517,"TwitterHjerneRetrieval":0.71545,"MalteseNewsClassification":0.569613,"STS12":0.851146,"LEMBPasskeyRetrieval":0.805,"BUCC.v2":0.98669925,"SwahiliNewsClassification":0.546094,"BiorxivClusteringP2P.v2":0.476539,"STS14":0.884952,"BornholmBitextMining":0.779778,"FaroeseSTS":0.769009,"WikiCitiesClustering":0.897629,"NusaXBitextMining":0.6922377272727273,"STSBenchmark":0.9483,"StackOverflowQA":0.93394,"MultiEURLEXMultilabelClassification":0.06555478260869566,"NorwegianCourtsBitextMining":0.940789,"PlscClusteringP2P.v2":0.744249,"ToxicConversationsClassification":0.93667,"BrazilianToxicTweetsClassification":0.212646,"IndicLangClassification":0.979565,"News21InstructionRetrieval":0.032392,"GujaratiNewsClassification":0.929666,"SiswatiNewsClassification":0.46625,"STS17":0.8718240909090909,"NollySentiBitextMining":0.38815775,"STS15":0.925753,"TempReasonL1":0.00928,"MedrxivClusteringP2P.v2":0.435063,"TRECCOVID":0.78486,"NepaliNewsClassification":0.995264,"ArmenianParaphrasePC":0.944631,"KorHateSpeechMLClassification":0.600785,"BelebeleRetrieval":0.7751298670212765,"AlloprofReranking":0.81386,"NordicLangClassification":0.8812,"StatcanDialogueDatasetRetrieval":0.462555,"RuBQReranking":0.74894,"STSES":0.812281,"WikiClusteringP2P.v2":0.3080832857142857,"FinParaSTS":0.3305565,"OpusparcusPC":0.9411844166666666,"CataloniaTweetClassification":0.6594015,"GermanSTSBenchmark":0.9096785000000001,"SwissJudgementClassification":0.6611556666666667,"MLQARetrieval":0.7758764285714285,"SwednClusteringP2P":0.5759890000000001,"DBpediaClassification":0.982715,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.537782,"WikipediaRetrievalMultilingual":0.905845625,"ArguAna":0.65071,"MIRACLRetrievalHardNegatives":0.6658633333333334,"IsiZuluNewsClassification":0.199069,"DiaBlaBitextMining":0.848277,"LegalBenchCorporateLobbying":0.93997,"EstonianValenceClassification":0.560513,"SinhalaNewsClassification":0.525195,"SprintDuplicateQuestions":0.965576,"CovidRetrieval":0.80104,"IndicCrosslingualSTS":0.47799691666666666,"Core17InstructionRetrieval":0.024037,"RTE3":0.89703925,"BibleNLPBitextMining":0.13564997463768116,"AfriSentiClassification":0.3665820833333333,"PAC":0.869939,"VoyageMMarcoReranking":0.68835,"GreekLegalCodeClassification":0.6495605,"KurdishSentimentClassification":0.934071,"Robust04InstructionRetrieval":-0.016077,"TERRa":0.673056,"indonli":0.599727,"SpartQA":0.11454,"SentimentAnalysisHindi":0.442894,"ItaCaseholdClassification":0.909502,"OdiaNewsClassification":0.958481,"MasakhaNEWSClassification":0.868680625,"FinancialPhrasebankClassification":0.634099,"ArXivHierarchicalClusteringP2P":0.657904,"CLSClusteringP2P.v2":0.507139,"CTKFactsNLI":0.8268715,"JSICK":0.81305,"STSB":0.899151,"FloresBitextMining":0.5798888989423355,"MacedonianTweetSentimentClassification":0.676734,"TweetTopicSingleClassification":0.863142,"SIB200ClusteringS2S":0.40519209137055834,"HALClusteringS2S.v2":0.316887,"BulgarianStoreReviewSentimentClassfication":0.748352,"CzechProductReviewSentimentClassification":0.636279,"FilipinoShopeeReviewsClassification":0.4191895,"SemRel24STS":0.6093163333333333,"BigPatentClustering.v2":0.425871,"ArXivHierarchicalClusteringS2S":0.62706,"AILAStatutes":0.533,"MultiHateClassification":0.5834818181818182,"MasakhaNEWSClusteringS2S":0.532397,"DalajClassification":0.498761,"T2Reranking":0.68041,"WebLINXCandidatesReranking":0.11325216666666667,"KorSarcasmClassification":0.552344,"NusaX-senti":0.7973125,"StackExchangeClustering.v2":0.701319,"Tatoeba":0.6113075982142858,"PolEmo2.0-OUT":0.738664,"RomaniBibleClustering":0.403867,"STS22.v2":0.7096956666666666,"PoemSentimentClassification":0.819231,"IndicGenBenchFloresBitextMining":0.8846508103448276},"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":{"STS":0.7576904114583334,"Classification":0.6768176956032624,"Clustering":0.587681699329224,"PairClassification":0.7987053852813853,"Reranking":0.6717333124999999,"Retrieval":0.6196778018724235,"InstructionReranking":0.005585666666666667,"BitextMining":0.7317560318171735,"MultilabelClassification":0.26041599130434784},"scoresByTask":{"ScalaClassification":0.764551,"IndonesianIdClickbaitClassification":0.628774,"SICK-R":0.805845,"SCIDOCS":0.23908,"PunjabiNewsClassification":0.802548,"AlloProfClusteringS2S.v2":0.512981,"SlovakMovieReviewSentimentClassification":0.887891,"WikipediaRerankingMultilingual":0.890836875,"NTREXBitextMining":0.849305127348643,"NusaParagraphEmotionClassification":0.48278360000000003,"MassiveIntentClassification":0.8463906764705883,"STS13":0.870407,"CyrillicTurkicLangClassification":0.676074,"CSFDSKMovieReviewSentimentClassification":0.467236,"XNLI":0.7575167857142857,"CEDRClassification":0.556111,"WinoGrande":0.5107,"IN22GenBitextMining":0.7819654249011858,"NusaTranslationBitextMining":0.7810421818181819,"TwitterURLCorpus":0.869942,"PpcPC":0.899771,"TwitterHjerneRetrieval":0.79298,"MalteseNewsClassification":0.365477,"STS12":0.824858,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.98968175,"SwahiliNewsClassification":0.668066,"BiorxivClusteringP2P.v2":0.672823,"STS14":0.852138,"BornholmBitextMining":0.501905,"FaroeseSTS":0.739411,"WikiCitiesClustering":0.932162,"NusaXBitextMining":0.798772090909091,"STSBenchmark":0.878159,"StackOverflowQA":0.95667,"MultiEURLEXMultilabelClassification":0.046826956521739134,"NorwegianCourtsBitextMining":0.942251,"PlscClusteringP2P.v2":0.729445,"ToxicConversationsClassification":0.91123,"BrazilianToxicTweetsClassification":0.220459,"IndicLangClassification":0.842103,"News21InstructionRetrieval":0.009141,"GujaratiNewsClassification":0.887026,"SiswatiNewsClassification":0.66125,"STS17":0.86008,"NollySentiBitextMining":0.47588025,"STS15":0.896714,"TempReasonL1":0.01156,"MedrxivClusteringP2P.v2":0.540824,"TRECCOVID":0.54208,"NepaliNewsClassification":0.955957,"ArmenianParaphrasePC":0.953742,"AmazonCounterfactualClassification":0.915395,"KorHateSpeechMLClassification":0.113206,"BelebeleRetrieval":0.7806917021276596,"AlloprofReranking":0.8011,"NordicLangClassification":0.725967,"StatcanDialogueDatasetRetrieval":0.3801575,"RuBQReranking":0.75327,"STSES":0.783883,"WikiClusteringP2P.v2":0.2959612857142857,"FinParaSTS":0.202054,"OpusparcusPC":0.9494361666666666,"CataloniaTweetClassification":0.49110224999999996,"GermanSTSBenchmark":0.8524050000000001,"SwissJudgementClassification":0.584645,"MLQARetrieval":0.7550925510204082,"SwednClusteringP2P":0.5211435,"DBpediaClassification":0.870996,"HagridRetrieval":0.9887,"TswanaNewsClassification":0.326283,"WikipediaRetrievalMultilingual":0.900908125,"ArguAna":0.60235,"MIRACLRetrievalHardNegatives":0.6277405555555555,"IsiZuluNewsClassification":0.275399,"DiaBlaBitextMining":0.87508,"LegalBenchCorporateLobbying":0.94662,"EstonianValenceClassification":0.511614,"SinhalaNewsClassification":0.735547,"SprintDuplicateQuestions":0.947433,"CovidRetrieval":0.76968,"IndicCrosslingualSTS":0.5174513333333334,"Core17InstructionRetrieval":0.014892,"RTE3":0.877448,"BibleNLPBitextMining":0.1911795845410628,"AfriSentiClassification":0.45143233333333327,"PAC":0.642253,"VoyageMMarcoReranking":0.75942,"GreekLegalCodeClassification":0.4046635,"KurdishSentimentClassification":0.739758,"Robust04InstructionRetrieval":-0.007276,"TERRa":0.593417,"indonli":0.544054,"SpartQA":0.16559,"SentimentAnalysisHindi":0.710106,"ItaCaseholdClassification":0.679186,"OdiaNewsClassification":0.827474,"MasakhaNEWSClassification":0.8027701875,"FinancialPhrasebankClassification":0.854064,"ArXivHierarchicalClusteringP2P":0.645105,"CLSClusteringP2P.v2":0.739602,"CTKFactsNLI":0.782368,"JSICK":0.846608,"STSB":0.832569,"FloresBitextMining":0.6821859610016421,"MacedonianTweetSentimentClassification":0.612028,"TweetTopicSingleClassification":0.788777,"SIB200ClusteringS2S":0.7713519035532994,"HALClusteringS2S.v2":0.300763,"BulgarianStoreReviewSentimentClassfication":0.737912,"CzechProductReviewSentimentClassification":0.64834,"PawsXPairClassification":0.6106312857142857,"FilipinoShopeeReviewsClassification":0.419043,"SemRel24STS":0.6600354166666667,"BigPatentClustering.v2":0.39274,"ArXivHierarchicalClusteringS2S":0.626066,"AILAStatutes":0.3336,"MultiHateClassification":0.6760363636363637,"MasakhaNEWSClusteringS2S":0.5181285,"DalajClassification":0.507995,"T2Reranking":0.66959,"WebLINXCandidatesReranking":0.156183,"KorSarcasmClassification":0.570068,"NusaX-senti":0.7025625,"StackExchangeClustering.v2":0.776777,"Tatoeba":0.7365830000000001,"PolEmo2.0-OUT":0.733806,"RomaniBibleClustering":0.427034,"STS22.v2":0.7004288333333333,"PoemSentimentClassification":0.6760575,"IndicGenBenchFloresBitextMining":0.9069970431034483},"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":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","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":{"STS":0.757330058080808,"Classification":0.6589510761674543,"Clustering":0.5150116440836883,"PairClassification":0.806507172077922,"Reranking":0.6471882291666666,"Retrieval":0.6104161974048878,"InstructionReranking":0.009715333333333333,"BitextMining":0.7228598638253487,"MultilabelClassification":0.2654419043478261},"scoresByTask":{"ScalaClassification":0.52790525,"IndonesianIdClickbaitClassification":0.591964,"SICK-R":0.812508,"SCIDOCS":0.23317,"PunjabiNewsClassification":0.796178,"AlloProfClusteringS2S.v2":0.560392,"SlovakMovieReviewSentimentClassification":0.861426,"WikipediaRerankingMultilingual":0.857991875,"NTREXBitextMining":0.819963600730689,"NusaParagraphEmotionClassification":0.5375957,"MassiveIntentClassification":0.6942355392156864,"STS13":0.881628,"CyrillicTurkicLangClassification":0.704004,"CSFDSKMovieReviewSentimentClassification":0.414453,"XNLI":0.7684601071428572,"CEDRClassification":0.548672,"WinoGrande":0.57984,"IN22GenBitextMining":0.7777492944664031,"NusaTranslationBitextMining":0.7730672727272728,"TwitterURLCorpus":0.873147,"PpcPC":0.936364,"TwitterHjerneRetrieval":0.75634,"MalteseNewsClassification":0.330518,"STS12":0.826959,"LEMBPasskeyRetrieval":0.48,"BUCC.v2":0.98989975,"SwahiliNewsClassification":0.593799,"BiorxivClusteringP2P.v2":0.442436,"STS14":0.849332,"BornholmBitextMining":0.566271,"FaroeseSTS":0.717523,"WikiCitiesClustering":0.746983,"NusaXBitextMining":0.7997509090909091,"STSBenchmark":0.882051,"StackOverflowQA":0.9411,"MultiEURLEXMultilabelClassification":0.05005652173913044,"NorwegianCourtsBitextMining":0.932018,"PlscClusteringP2P.v2":0.744674,"ToxicConversationsClassification":0.700098,"BrazilianToxicTweetsClassification":0.286426,"IndicLangClassification":0.873476,"News21InstructionRetrieval":0.002628,"GujaratiNewsClassification":0.884901,"SiswatiNewsClassification":0.7325,"STS17":0.8603048181818181,"NollySentiBitextMining":0.4113845,"STS15":0.900231,"TempReasonL1":0.0165,"MedrxivClusteringP2P.v2":0.435787,"TRECCOVID":0.80887,"NepaliNewsClassification":0.960938,"ArmenianParaphrasePC":0.948188,"AmazonCounterfactualClassification":0.79612825,"KorHateSpeechMLClassification":0.111537,"BelebeleRetrieval":0.7515075,"AlloprofReranking":0.81398,"NordicLangClassification":0.6854,"StatcanDialogueDatasetRetrieval":0.38471500000000003,"RuBQReranking":0.75106,"STSES":0.781491,"WikiClusteringP2P.v2":0.31281821428571427,"FinParaSTS":0.2181905,"OpusparcusPC":0.9543135,"CataloniaTweetClassification":0.47900825,"GermanSTSBenchmark":0.853894,"SwissJudgementClassification":0.538866,"MLQARetrieval":0.748038775510204,"SwednClusteringP2P":0.44438200000000005,"DBpediaClassification":0.950146,"HagridRetrieval":0.98832,"TswanaNewsClassification":0.32731,"WikipediaRetrievalMultilingual":0.8749675,"ArguAna":0.57044,"MIRACLRetrievalHardNegatives":0.6376527777777778,"IsiZuluNewsClassification":0.259176,"DiaBlaBitextMining":0.881496,"LegalBenchCorporateLobbying":0.95157,"EstonianValenceClassification":0.491565,"SinhalaNewsClassification":0.51084,"SprintDuplicateQuestions":0.970573,"CovidRetrieval":0.8128,"IndicCrosslingualSTS":0.48829041666666667,"Core17InstructionRetrieval":0.022729,"RTE3":0.8865649999999999,"BibleNLPBitextMining":0.16631755857487923,"AfriSentiClassification":0.45677349999999994,"PAC":0.650217,"VoyageMMarcoReranking":0.67403,"GreekLegalCodeClassification":0.476953,"KurdishSentimentClassification":0.658379,"Robust04InstructionRetrieval":0.003789,"TERRa":0.583374,"indonli":0.573306,"SpartQA":0.04661,"SentimentAnalysisHindi":0.74052,"ItaCaseholdClassification":0.855204,"OdiaNewsClassification":0.823291,"MasakhaNEWSClassification":0.7644769375,"FinancialPhrasebankClassification":0.917138,"ArXivHierarchicalClusteringP2P":0.639689,"CLSClusteringP2P.v2":0.442674,"CTKFactsNLI":0.8155585000000001,"JSICK":0.849784,"STSB":0.835491,"FloresBitextMining":0.6545073176615473,"MacedonianTweetSentimentClassification":0.666198,"TweetTopicSingleClassification":0.781453,"SIB200ClusteringS2S":0.4259889035532995,"HALClusteringS2S.v2":0.329866,"BulgarianStoreReviewSentimentClassfication":0.702747,"CzechProductReviewSentimentClassification":0.619141,"PawsXPairClassification":0.5617297857142857,"FilipinoShopeeReviewsClassification":0.40642100000000003,"SemRel24STS":0.64412675,"BigPatentClustering.v2":0.435921,"ArXivHierarchicalClusteringS2S":0.639599,"AILAStatutes":0.40505,"MultiHateClassification":0.7086181818181818,"MasakhaNEWSClusteringS2S":0.5418151875,"DalajClassification":0.50473,"T2Reranking":0.67014,"WebLINXCandidatesReranking":0.1159275,"KorSarcasmClassification":0.585059,"NusaX-senti":0.7181041666666667,"StackExchangeClustering.v2":0.690859,"Tatoeba":0.7278832678571429,"PolEmo2.0-OUT":0.728745,"RomaniBibleClustering":0.406302,"STS22.v2":0.7154764444444445,"PoemSentimentClassification":0.6588145000000001,"IndicGenBenchFloresBitextMining":0.8968697586206896},"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":0.6389016744352066,"meanTaskType":0.5648734309335082,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7419601870265151,"Classification":0.663214852204846,"Clustering":0.5432382941216461,"PairClassification":0.8261937857142857,"Reranking":0.6726423541666667,"Retrieval":0.6082298084724433,"InstructionReranking":0.021133,"BitextMining":0.6803675879995175,"MultilabelClassification":0.3268810086956522},"scoresByTask":{"ScalaClassification":0.51132825,"IndonesianIdClickbaitClassification":0.652475,"SICK-R":0.84408,"SCIDOCS":0.21696,"PunjabiNewsClassification":0.601274,"AlloProfClusteringS2S.v2":0.541065,"SlovakMovieReviewSentimentClassification":0.887256,"WikipediaRerankingMultilingual":0.915875625,"NTREXBitextMining":0.762844995302714,"NusaParagraphEmotionClassification":0.4183408,"MassiveIntentClassification":0.710592725490196,"STS13":0.894114,"CyrillicTurkicLangClassification":0.838965,"CSFDSKMovieReviewSentimentClassification":0.489307,"XNLI":0.7776868571428571,"CEDRClassification":0.677311,"WinoGrande":0.49544,"IN22GenBitextMining":0.6372465217391304,"NusaTranslationBitextMining":0.7736714545454546,"TwitterURLCorpus":0.868361,"PpcPC":0.921338,"TwitterHjerneRetrieval":0.77046,"MalteseNewsClassification":0.335046,"STS12":0.775605,"LEMBPasskeyRetrieval":0.6825,"BUCC.v2":0.98957675,"SwahiliNewsClassification":0.600439,"BiorxivClusteringP2P.v2":0.541222,"STS14":0.848646,"BornholmBitextMining":0.537033,"FaroeseSTS":0.731617,"WikiCitiesClustering":0.844866,"NusaXBitextMining":0.7017557272727273,"STSBenchmark":0.885829,"StackOverflowQA":0.95802,"MultiEURLEXMultilabelClassification":0.041913043478260865,"NorwegianCourtsBitextMining":0.94152,"PlscClusteringP2P.v2":0.757783,"ToxicConversationsClassification":0.903564,"BrazilianToxicTweetsClassification":0.342432,"IndicLangClassification":0.822118,"News21InstructionRetrieval":0.001076,"GujaratiNewsClassification":0.774127,"SiswatiNewsClassification":0.50875,"STS17":0.8603169090909091,"NollySentiBitextMining":0.419367,"STS15":0.895336,"TempReasonL1":0.02384,"MedrxivClusteringP2P.v2":0.510414,"TRECCOVID":0.84867,"NepaliNewsClassification":0.949414,"ArmenianParaphrasePC":0.966312,"AmazonCounterfactualClassification":0.912426875,"KorHateSpeechMLClassification":0.237703,"BelebeleRetrieval":0.7168182446808511,"AlloprofReranking":0.80149,"NordicLangClassification":0.6379,"StatcanDialogueDatasetRetrieval":0.3523125,"RuBQReranking":0.79881,"STSES":0.763235,"WikiClusteringP2P.v2":0.31452357142857146,"FinParaSTS":0.20004349999999999,"OpusparcusPC":0.9504655,"CataloniaTweetClassification":0.438853,"GermanSTSBenchmark":0.861146,"SwissJudgementClassification":0.5663223333333334,"MLQARetrieval":0.7297662244897959,"SwednClusteringP2P":0.5262279999999999,"DBpediaClassification":0.990332,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.320329,"WikipediaRetrievalMultilingual":0.92328625,"ArguAna":0.59084,"MIRACLRetrievalHardNegatives":0.6196033333333334,"IsiZuluNewsClassification":0.282979,"DiaBlaBitextMining":0.877603,"LegalBenchCorporateLobbying":0.94291,"EstonianValenceClassification":0.555501,"SinhalaNewsClassification":0.625195,"SprintDuplicateQuestions":0.963323,"CovidRetrieval":0.71299,"IndicCrosslingualSTS":0.28834441666666666,"Core17InstructionRetrieval":0.055743,"RTE3":0.9028705,"BibleNLPBitextMining":0.14063498973429953,"AfriSentiClassification":0.44742716666666665,"PAC":0.73203,"VoyageMMarcoReranking":0.706,"GreekLegalCodeClassification":0.18186,"KurdishSentimentClassification":0.70921,"Robust04InstructionRetrieval":0.00658,"TERRa":0.723104,"indonli":0.561743,"SpartQA":0.01264,"SentimentAnalysisHindi":0.728431,"ItaCaseholdClassification":0.693665,"OdiaNewsClassification":0.64592,"MasakhaNEWSClassification":0.7472678125,"FinancialPhrasebankClassification":1.0,"ArXivHierarchicalClusteringP2P":0.672404,"CLSClusteringP2P.v2":0.48762,"CTKFactsNLI":0.835025,"JSICK":0.821297,"STSB":0.8348184999999999,"FloresBitextMining":0.5934323322466918,"MacedonianTweetSentimentClassification":0.651097,"TweetTopicSingleClassification":0.879149,"SIB200ClusteringS2S":0.5505806345177665,"HALClusteringS2S.v2":0.297749,"BulgarianStoreReviewSentimentClassfication":0.787912,"CzechProductReviewSentimentClassification":0.632959,"PawsXPairClassification":0.6179027857142857,"FilipinoShopeeReviewsClassification":0.4546385,"SemRel24STS":0.656778,"BigPatentClustering.v2":0.329665,"ArXivHierarchicalClusteringS2S":0.665802,"AILAStatutes":0.36212,"MultiHateClassification":0.8536181818181817,"MasakhaNEWSClusteringS2S":0.5242445,"DalajClassification":0.497297,"T2Reranking":0.66645,"WebLINXCandidatesReranking":0.1472285,"KorSarcasmClassification":0.573682,"NusaX-senti":0.6955625,"StackExchangeClustering.v2":0.710291,"Tatoeba":0.6718858214285713,"PolEmo2.0-OUT":0.740688,"RomaniBibleClustering":0.417355,"STS22.v2":0.7101566666666668,"PoemSentimentClassification":0.8680355,"IndicGenBenchFloresBitextMining":0.7982070517241379},"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":{"STS":0.7535376526199495,"Classification":0.7083569239480993,"Clustering":0.5250786718013506,"PairClassification":0.8011885800865801,"Reranking":0.618955326388889,"Retrieval":0.6637835960040044,"InstructionReranking":-0.004679666666666668,"BitextMining":0.8153816831324021,"MultilabelClassification":0.23969744347826089},"scoresByTask":{"ScalaClassification":0.6221315000000001,"IndonesianIdClickbaitClassification":0.63195,"SICK-R":0.820597,"SCIDOCS":0.21469,"PunjabiNewsClassification":0.771975,"AlloProfClusteringS2S.v2":0.528639,"SlovakMovieReviewSentimentClassification":0.89873,"WikipediaRerankingMultilingual":0.847048125,"NTREXBitextMining":0.9247728935281837,"NusaParagraphEmotionClassification":0.6134754,"MassiveIntentClassification":0.6107007843137255,"STS13":0.850239,"CyrillicTurkicLangClassification":0.992285,"CSFDSKMovieReviewSentimentClassification":0.547559,"XNLI":0.7991549285714286,"CEDRClassification":0.473858,"WinoGrande":0.78175,"IN22GenBitextMining":0.8298904664031621,"NusaTranslationBitextMining":0.8297173636363637,"TwitterURLCorpus":0.861616,"PpcPC":0.901907,"TwitterHjerneRetrieval":0.60126,"MalteseNewsClassification":0.356117,"STS12":0.79363,"LEMBPasskeyRetrieval":0.8275,"BUCC.v2":0.9873675,"SwahiliNewsClassification":0.630859,"BiorxivClusteringP2P.v2":0.477091,"STS14":0.822524,"BornholmBitextMining":0.670144,"FaroeseSTS":0.760281,"WikiCitiesClustering":0.909163,"NusaXBitextMining":0.8226151818181818,"STSBenchmark":0.873411,"StackOverflowQA":0.89605,"MultiEURLEXMultilabelClassification":0.045805217391304345,"NorwegianCourtsBitextMining":0.932018,"PlscClusteringP2P.v2":0.732811,"ToxicConversationsClassification":0.888428,"BrazilianToxicTweetsClassification":0.231396,"IndicLangClassification":0.9818,"News21InstructionRetrieval":0.02147,"GujaratiNewsClassification":0.847572,"SiswatiNewsClassification":0.565,"STS17":0.8505116363636364,"NollySentiBitextMining":0.7803635,"STS15":0.893462,"TempReasonL1":0.18275,"MedrxivClusteringP2P.v2":0.408406,"TRECCOVID":0.82102,"NepaliNewsClassification":0.96084,"ArmenianParaphrasePC":0.942186,"AmazonCounterfactualClassification":0.923462875,"KorHateSpeechMLClassification":0.091311,"BelebeleRetrieval":0.7395702127659575,"AlloprofReranking":0.73985,"NordicLangClassification":0.914,"StatcanDialogueDatasetRetrieval":0.39607000000000003,"RuBQReranking":0.71855,"STSES":0.758846,"WikiClusteringP2P.v2":0.2938191428571429,"FinParaSTS":0.244117,"OpusparcusPC":0.9387706666666666,"CataloniaTweetClassification":0.6827485,"GermanSTSBenchmark":0.846686,"SwissJudgementClassification":0.7309566666666667,"MLQARetrieval":0.6758082653061224,"SwednClusteringP2P":0.5563715,"DBpediaClassification":0.988965,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.512731,"WikipediaRetrievalMultilingual":0.84341625,"ArguAna":0.63632,"MIRACLRetrievalHardNegatives":0.62177,"IsiZuluNewsClassification":0.361037,"DiaBlaBitextMining":0.852818,"LegalBenchCorporateLobbying":0.94238,"EstonianValenceClassification":0.571883,"SinhalaNewsClassification":0.758643,"SprintDuplicateQuestions":0.964584,"CovidRetrieval":0.81599,"IndicCrosslingualSTS":0.5113208333333333,"Core17InstructionRetrieval":-0.006641,"RTE3":0.878871,"BibleNLPBitextMining":0.3691456739130435,"AfriSentiClassification":0.45438175000000003,"PAC":0.707674,"VoyageMMarcoReranking":0.62046,"GreekLegalCodeClassification":0.582031,"KurdishSentimentClassification":0.865727,"Robust04InstructionRetrieval":-0.028868,"TERRa":0.592768,"indonli":0.567619,"SpartQA":0.60592,"SentimentAnalysisHindi":0.634514,"ItaCaseholdClassification":0.766063,"OdiaNewsClassification":0.944966,"MasakhaNEWSClassification":0.855459375,"FinancialPhrasebankClassification":0.803313,"ArXivHierarchicalClusteringP2P":0.61477,"CLSClusteringP2P.v2":0.532487,"CTKFactsNLI":0.813203,"JSICK":0.842092,"STSB":0.8221915,"FloresBitextMining":0.8537442749444606,"MacedonianTweetSentimentClassification":0.622125,"TweetTopicSingleClassification":0.785706,"SIB200ClusteringS2S":0.43797873096446704,"HALClusteringS2S.v2":0.291117,"BulgarianStoreReviewSentimentClassfication":0.754945,"CzechProductReviewSentimentClassification":0.669043,"PawsXPairClassification":0.5523947857142857,"FilipinoShopeeReviewsClassification":0.42168,"SemRel24STS":0.66244275,"BigPatentClustering.v2":0.373976,"ArXivHierarchicalClusteringS2S":0.594377,"AILAStatutes":0.35688,"MultiHateClassification":0.5791545454545455,"MasakhaNEWSClusteringS2S":0.542723375,"DalajClassification":0.496171,"T2Reranking":0.66829,"WebLINXCandidatesReranking":0.11953383333333334,"KorSarcasmClassification":0.558057,"NusaX-senti":0.6417708333333333,"StackExchangeClustering.v2":0.718229,"Tatoeba":0.7836472678571429,"PolEmo2.0-OUT":0.640486,"RomaniBibleClustering":0.3893,"STS22.v2":0.7042507222222222,"PoemSentimentClassification":0.6683475000000001,"IndicGenBenchFloresBitextMining":0.9637177586206896},"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":{"STS":0.7616835441919192,"Classification":0.6682845920770635,"Clustering":0.5232641443018038,"PairClassification":0.8083128398268399,"Reranking":0.6140931770833333,"Retrieval":0.6464702360447725,"InstructionReranking":0.05094133333333334,"BitextMining":0.7222786386933959,"MultilabelClassification":0.2458437826086956},"scoresByTask":{"ScalaClassification":0.50512725,"IndonesianIdClickbaitClassification":0.647674,"SICK-R":0.848283,"SCIDOCS":0.24407,"PunjabiNewsClassification":0.835032,"AlloProfClusteringS2S.v2":0.539575,"SlovakMovieReviewSentimentClassification":0.863428,"WikipediaRerankingMultilingual":0.8598550625,"NTREXBitextMining":0.7945833089770356,"NusaParagraphEmotionClassification":0.4775818,"MassiveIntentClassification":0.6143749509803922,"STS13":0.917553,"CyrillicTurkicLangClassification":0.902002,"CSFDSKMovieReviewSentimentClassification":0.44082,"XNLI":0.8171572500000001,"CEDRClassification":0.498831,"WinoGrande":0.50792,"IN22GenBitextMining":0.7577553023715415,"NusaTranslationBitextMining":0.8539324545454545,"TwitterURLCorpus":0.867482,"PpcPC":0.905005,"TwitterHjerneRetrieval":0.6004,"MalteseNewsClassification":0.36108,"STS12":0.829953,"LEMBPasskeyRetrieval":0.8475,"BUCC.v2":0.984417,"SwahiliNewsClassification":0.583545,"BiorxivClusteringP2P.v2":0.472655,"STS14":0.871015,"BornholmBitextMining":0.542167,"FaroeseSTS":0.743312,"WikiCitiesClustering":0.867578,"NusaXBitextMining":0.7838504545454547,"STSBenchmark":0.911297,"StackOverflowQA":0.89994,"MultiEURLEXMultilabelClassification":0.04647391304347826,"NorwegianCourtsBitextMining":0.926901,"PlscClusteringP2P.v2":0.742182,"ToxicConversationsClassification":0.821289,"BrazilianToxicTweetsClassification":0.226074,"IndicLangClassification":0.930919,"News21InstructionRetrieval":0.036048,"GujaratiNewsClassification":0.858422,"SiswatiNewsClassification":0.58,"STS17":0.8550388181818181,"NollySentiBitextMining":0.613331,"STS15":0.914472,"TempReasonL1":0.01022,"MedrxivClusteringP2P.v2":0.421841,"TRECCOVID":0.90518,"NepaliNewsClassification":0.955762,"ArmenianParaphrasePC":0.931424,"AmazonCounterfactualClassification":0.90422325,"KorHateSpeechMLClassification":0.09676,"BelebeleRetrieval":0.6873828457446808,"AlloprofReranking":0.803828,"NordicLangClassification":0.843233,"StatcanDialogueDatasetRetrieval":0.33633,"RuBQReranking":0.656728,"STSES":0.769487,"WikiClusteringP2P.v2":0.29658971428571423,"FinParaSTS":0.2632175,"OpusparcusPC":0.9294449166666666,"CataloniaTweetClassification":0.49137725,"GermanSTSBenchmark":0.8490105,"SwissJudgementClassification":0.5555926666666667,"MLQARetrieval":0.7278776530612244,"SwednClusteringP2P":0.5335785,"DBpediaClassification":0.988428,"HagridRetrieval":0.98758,"TswanaNewsClassification":0.348871,"WikipediaRetrievalMultilingual":0.87133875,"ArguAna":0.70965,"MIRACLRetrievalHardNegatives":0.6122650000000001,"IsiZuluNewsClassification":0.255585,"DiaBlaBitextMining":0.808666,"LegalBenchCorporateLobbying":0.94517,"EstonianValenceClassification":0.411125,"SinhalaNewsClassification":0.595898,"SprintDuplicateQuestions":0.941094,"CovidRetrieval":0.84761,"IndicCrosslingualSTS":0.3897911666666667,"Core17InstructionRetrieval":0.089328,"RTE3":0.8895385,"BibleNLPBitextMining":0.21171626932367152,"AfriSentiClassification":0.46047600000000005,"PAC":0.695251,"VoyageMMarcoReranking":0.576603,"GreekLegalCodeClassification":0.39694799999999997,"KurdishSentimentClassification":0.800654,"Robust04InstructionRetrieval":0.027448,"TERRa":0.606803,"indonli":0.589872,"SpartQA":0.10585,"SentimentAnalysisHindi":0.742522,"ItaCaseholdClassification":0.616742,"OdiaNewsClassification":0.841874,"MasakhaNEWSClassification":0.8049881249999999,"FinancialPhrasebankClassification":0.905786,"ArXivHierarchicalClusteringP2P":0.637187,"CLSClusteringP2P.v2":0.620127,"CTKFactsNLI":0.791702,"JSICK":0.866246,"STSB":0.846196,"FloresBitextMining":0.6275455782140443,"MacedonianTweetSentimentClassification":0.610272,"TweetTopicSingleClassification":0.807501,"SIB200ClusteringS2S":0.34126696954314717,"HALClusteringS2S.v2":0.289713,"BulgarianStoreReviewSentimentClassfication":0.734066,"CzechProductReviewSentimentClassification":0.637549,"PawsXPairClassification":0.6219185714285714,"FilipinoShopeeReviewsClassification":0.408447,"SemRel24STS":0.5937311666666667,"BigPatentClustering.v2":0.324887,"ArXivHierarchicalClusteringS2S":0.638185,"AILAStatutes":0.79018,"MultiHateClassification":0.6429999999999999,"MasakhaNEWSClusteringS2S":0.532390125,"DalajClassification":0.49955,"T2Reranking":0.671523,"WebLINXCandidatesReranking":0.116022,"KorSarcasmClassification":0.558984,"NusaX-senti":0.7131041666666667,"StackExchangeClustering.v2":0.711618,"Tatoeba":0.5805298660714285,"PolEmo2.0-OUT":0.715182,"RomaniBibleClustering":0.402853,"STS22.v2":0.7183335555555556,"PoemSentimentClassification":0.733031,"IndicGenBenchFloresBitextMining":0.9042270689655172},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":21,"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":{"STS":0.7816929666982323,"Classification":0.6917703844660696,"Clustering":0.5272884363697652,"PairClassification":0.8193616482683982,"Reranking":0.6462847430555555,"Retrieval":0.6326010977814096,"InstructionReranking":0.00047766666666666677,"BitextMining":0.6770274608449716,"MultilabelClassification":0.4131042173913043},"scoresByTask":{"ScalaClassification":0.50111075,"IndonesianIdClickbaitClassification":0.542764,"SICK-R":0.919743,"SCIDOCS":0.22604,"PunjabiNewsClassification":0.804459,"AlloProfClusteringS2S.v2":0.56435,"SlovakMovieReviewSentimentClassification":0.850635,"WikipediaRerankingMultilingual":0.888323125,"NTREXBitextMining":0.7281534890396659,"NusaParagraphEmotionClassification":0.7336516000000001,"MassiveIntentClassification":0.8405882843137255,"STS13":0.894751,"CyrillicTurkicLangClassification":0.979102,"CSFDSKMovieReviewSentimentClassification":0.405615,"XNLI":0.8137459285714286,"CEDRClassification":0.65271,"WinoGrande":0.53405,"IN22GenBitextMining":0.7169917608695652,"NusaTranslationBitextMining":0.6958577272727273,"TwitterURLCorpus":0.855575,"PpcPC":0.938663,"TwitterHjerneRetrieval":0.74015,"MalteseNewsClassification":0.562429,"STS12":0.853443,"LEMBPasskeyRetrieval":0.815,"BUCC.v2":0.98623575,"SwahiliNewsClassification":0.507373,"BiorxivClusteringP2P.v2":0.464257,"STS14":0.889108,"BornholmBitextMining":0.771171,"FaroeseSTS":0.713955,"WikiCitiesClustering":0.887275,"NusaXBitextMining":0.6581438181818182,"STSBenchmark":0.944537,"StackOverflowQA":0.92337,"MultiEURLEXMultilabelClassification":0.05454608695652174,"NorwegianCourtsBitextMining":0.948099,"PlscClusteringP2P.v2":0.743695,"ToxicConversationsClassification":0.927734,"BrazilianToxicTweetsClassification":0.207422,"IndicLangClassification":0.975955,"News21InstructionRetrieval":0.012812,"GujaratiNewsClassification":0.910091,"SiswatiNewsClassification":0.485,"STS17":0.8628882727272728,"NollySentiBitextMining":0.37097675,"STS15":0.927998,"TempReasonL1":0.01238,"MedrxivClusteringP2P.v2":0.425577,"TRECCOVID":0.77601,"NepaliNewsClassification":0.985693,"ArmenianParaphrasePC":0.93536,"AmazonCounterfactualClassification":0.937233875,"KorHateSpeechMLClassification":0.588414,"BelebeleRetrieval":0.753111170212766,"AlloprofReranking":0.79669,"NordicLangClassification":0.881667,"StatcanDialogueDatasetRetrieval":0.3305275,"RuBQReranking":0.73677,"STSES":0.800676,"WikiClusteringP2P.v2":0.302311,"FinParaSTS":0.3504525,"OpusparcusPC":0.9400324166666666,"CataloniaTweetClassification":0.6579675,"GermanSTSBenchmark":0.9073359999999999,"SwissJudgementClassification":0.6049216666666667,"MLQARetrieval":0.7703260204081633,"SwednClusteringP2P":0.560305,"DBpediaClassification":0.977539,"HagridRetrieval":0.98781,"TswanaNewsClassification":0.526489,"WikipediaRetrievalMultilingual":0.899545625,"ArguAna":0.65699,"MIRACLRetrievalHardNegatives":0.6580394444444445,"IsiZuluNewsClassification":0.177527,"DiaBlaBitextMining":0.838549,"LegalBenchCorporateLobbying":0.94524,"EstonianValenceClassification":0.509902,"SinhalaNewsClassification":0.516895,"SprintDuplicateQuestions":0.955503,"CovidRetrieval":0.7803,"IndicCrosslingualSTS":0.4143135,"Core17InstructionRetrieval":0.0178,"RTE3":0.8942365,"BibleNLPBitextMining":0.12497421256038649,"AfriSentiClassification":0.3683781666666666,"PAC":0.863018,"VoyageMMarcoReranking":0.67022,"GreekLegalCodeClassification":0.5896485,"KurdishSentimentClassification":0.933065,"Robust04InstructionRetrieval":-0.029179,"TERRa":0.645916,"indonli":0.595587,"SpartQA":0.06277,"SentimentAnalysisHindi":0.553538,"ItaCaseholdClassification":0.874208,"OdiaNewsClassification":0.945382,"MasakhaNEWSClassification":0.82716925,"FinancialPhrasebankClassification":0.486087,"ArXivHierarchicalClusteringP2P":0.650163,"CLSClusteringP2P.v2":0.488929,"CTKFactsNLI":0.8160995,"JSICK":0.815222,"STSB":0.897797,"FloresBitextMining":0.534389797715638,"MacedonianTweetSentimentClassification":0.649078,"TweetTopicSingleClassification":0.846604,"SIB200ClusteringS2S":0.3889512944162437,"HALClusteringS2S.v2":0.292121,"BulgarianStoreReviewSentimentClassfication":0.74011,"CzechProductReviewSentimentClassification":0.627246,"PawsXPairClassification":0.6222597857142856,"FilipinoShopeeReviewsClassification":0.405176,"SemRel24STS":0.6186724166666667,"BigPatentClustering.v2":0.435195,"ArXivHierarchicalClusteringS2S":0.610752,"AILAStatutes":0.51516,"MultiHateClassification":0.5700272727272727,"MasakhaNEWSClusteringS2S":0.5227696875,"DalajClassification":0.504279,"T2Reranking":0.67625,"WebLINXCandidatesReranking":0.10945533333333334,"KorSarcasmClassification":0.536963,"NusaX-senti":0.7611041666666667,"StackExchangeClustering.v2":0.693946,"Tatoeba":0.5653701250000001,"PolEmo2.0-OUT":0.669028,"RomaniBibleClustering":0.406018,"STS22.v2":0.6961947777777778,"PoemSentimentClassification":0.7561035,"IndicGenBenchFloresBitextMining":0.8624445603448276},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":22,"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":{"STS":0.7816929666982323,"Classification":0.6917703844660696,"Clustering":0.5272884363697652,"PairClassification":0.8193616482683982,"Reranking":0.6462847430555555,"Retrieval":0.6326010977814096,"InstructionReranking":0.00047766666666666677,"BitextMining":0.6770274608449716,"MultilabelClassification":0.4131042173913043},"scoresByTask":{"ScalaClassification":0.50111075,"IndonesianIdClickbaitClassification":0.542764,"SICK-R":0.919743,"SCIDOCS":0.22604,"PunjabiNewsClassification":0.804459,"AlloProfClusteringS2S.v2":0.56435,"SlovakMovieReviewSentimentClassification":0.850635,"WikipediaRerankingMultilingual":0.888323125,"NTREXBitextMining":0.7281534890396659,"NusaParagraphEmotionClassification":0.7336516000000001,"MassiveIntentClassification":0.8405882843137255,"STS13":0.894751,"CyrillicTurkicLangClassification":0.979102,"CSFDSKMovieReviewSentimentClassification":0.405615,"XNLI":0.8137459285714286,"CEDRClassification":0.65271,"WinoGrande":0.53405,"IN22GenBitextMining":0.7169917608695652,"NusaTranslationBitextMining":0.6958577272727273,"TwitterURLCorpus":0.855575,"PpcPC":0.938663,"TwitterHjerneRetrieval":0.74015,"MalteseNewsClassification":0.562429,"STS12":0.853443,"LEMBPasskeyRetrieval":0.815,"BUCC.v2":0.98623575,"SwahiliNewsClassification":0.507373,"BiorxivClusteringP2P.v2":0.464257,"STS14":0.889108,"BornholmBitextMining":0.771171,"FaroeseSTS":0.713955,"WikiCitiesClustering":0.887275,"NusaXBitextMining":0.6581438181818182,"STSBenchmark":0.944537,"StackOverflowQA":0.92337,"MultiEURLEXMultilabelClassification":0.05454608695652174,"NorwegianCourtsBitextMining":0.948099,"PlscClusteringP2P.v2":0.743695,"ToxicConversationsClassification":0.927734,"BrazilianToxicTweetsClassification":0.207422,"IndicLangClassification":0.975955,"News21InstructionRetrieval":0.012812,"GujaratiNewsClassification":0.910091,"SiswatiNewsClassification":0.485,"STS17":0.8628882727272728,"NollySentiBitextMining":0.37097675,"STS15":0.927998,"TempReasonL1":0.01238,"MedrxivClusteringP2P.v2":0.425577,"TRECCOVID":0.77601,"NepaliNewsClassification":0.985693,"ArmenianParaphrasePC":0.93536,"AmazonCounterfactualClassification":0.937233875,"KorHateSpeechMLClassification":0.588414,"BelebeleRetrieval":0.753111170212766,"AlloprofReranking":0.79669,"NordicLangClassification":0.881667,"StatcanDialogueDatasetRetrieval":0.3305275,"RuBQReranking":0.73677,"STSES":0.800676,"WikiClusteringP2P.v2":0.302311,"FinParaSTS":0.3504525,"OpusparcusPC":0.9400324166666666,"CataloniaTweetClassification":0.6579675,"GermanSTSBenchmark":0.9073359999999999,"SwissJudgementClassification":0.6049216666666667,"MLQARetrieval":0.7703260204081633,"SwednClusteringP2P":0.560305,"DBpediaClassification":0.977539,"HagridRetrieval":0.98781,"TswanaNewsClassification":0.526489,"WikipediaRetrievalMultilingual":0.899545625,"ArguAna":0.65699,"MIRACLRetrievalHardNegatives":0.6580394444444445,"IsiZuluNewsClassification":0.177527,"DiaBlaBitextMining":0.838549,"LegalBenchCorporateLobbying":0.94524,"EstonianValenceClassification":0.509902,"SinhalaNewsClassification":0.516895,"SprintDuplicateQuestions":0.955503,"CovidRetrieval":0.7803,"IndicCrosslingualSTS":0.4143135,"Core17InstructionRetrieval":0.0178,"RTE3":0.8942365,"BibleNLPBitextMining":0.12497421256038649,"AfriSentiClassification":0.3683781666666666,"PAC":0.863018,"VoyageMMarcoReranking":0.67022,"GreekLegalCodeClassification":0.5896485,"KurdishSentimentClassification":0.933065,"Robust04InstructionRetrieval":-0.029179,"TERRa":0.645916,"indonli":0.595587,"SpartQA":0.06277,"SentimentAnalysisHindi":0.553538,"ItaCaseholdClassification":0.874208,"OdiaNewsClassification":0.945382,"MasakhaNEWSClassification":0.82716925,"FinancialPhrasebankClassification":0.486087,"ArXivHierarchicalClusteringP2P":0.650163,"CLSClusteringP2P.v2":0.488929,"CTKFactsNLI":0.8160995,"JSICK":0.815222,"STSB":0.897797,"FloresBitextMining":0.534389797715638,"MacedonianTweetSentimentClassification":0.649078,"TweetTopicSingleClassification":0.846604,"SIB200ClusteringS2S":0.3889512944162437,"HALClusteringS2S.v2":0.292121,"BulgarianStoreReviewSentimentClassfication":0.74011,"CzechProductReviewSentimentClassification":0.627246,"PawsXPairClassification":0.6222597857142856,"FilipinoShopeeReviewsClassification":0.405176,"SemRel24STS":0.6186724166666667,"BigPatentClustering.v2":0.435195,"ArXivHierarchicalClusteringS2S":0.610752,"AILAStatutes":0.51516,"MultiHateClassification":0.5700272727272727,"MasakhaNEWSClusteringS2S":0.5227696875,"DalajClassification":0.504279,"T2Reranking":0.67625,"WebLINXCandidatesReranking":0.10945533333333334,"KorSarcasmClassification":0.536963,"NusaX-senti":0.7611041666666667,"StackExchangeClustering.v2":0.693946,"Tatoeba":0.5653701250000001,"PolEmo2.0-OUT":0.669028,"RomaniBibleClustering":0.406018,"STS22.v2":0.6961947777777778,"PoemSentimentClassification":0.7561035,"IndicGenBenchFloresBitextMining":0.8624445603448276},"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":0.6251239852717332,"meanTaskType":0.5593358772439865,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7398144356229727,"Classification":0.6155249207574879,"Clustering":0.52772736308095,"PairClassification":0.8512674430011671,"Reranking":0.6555365912172014,"Retrieval":0.6007638600483536,"InstructionReranking":0.04939433333333334,"BitextMining":0.739242257112979,"MultilabelClassification":0.2547516910214333},"scoresByTask":{"ScalaClassification":0.556787109375,"IndonesianIdClickbaitClassification":0.611236448842879,"SICK-R":0.7915962683643262,"SCIDOCS":0.2348,"PunjabiNewsClassification":0.7477707006369426,"AlloProfClusteringS2S.v2":0.5750644814745391,"SlovakMovieReviewSentimentClassification":0.823876953125,"WikipediaRerankingMultilingual":0.8772810185185185,"NTREXBitextMining":0.8402911422398943,"NusaParagraphEmotionClassification":0.4339895840019364,"MassiveIntentClassification":0.703681605851253,"STS13":0.8896943154592363,"CyrillicTurkicLangClassification":0.384033203125,"CSFDSKMovieReviewSentimentClassification":0.3787109375,"XNLI":0.8570667251967983,"CEDRClassification":0.5278427205100956,"WinoGrande":0.66808,"IN22GenBitextMining":0.7782830353570837,"NusaTranslationBitextMining":0.8727608050534665,"TwitterURLCorpus":0.8660659275450582,"PpcPC":0.9402375455132708,"TwitterHjerneRetrieval":0.68635,"MalteseNewsClassification":0.35690030474532,"STS12":0.7952565322917207,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.9871091057231139,"SwahiliNewsClassification":0.635302734375,"BiorxivClusteringP2P.v2":0.5324389713638713,"STS14":0.8386537189895273,"BornholmBitextMining":0.5016380952380952,"FaroeseSTS":0.7247030523460988,"WikiCitiesClustering":0.7758436521981417,"NusaXBitextMining":0.8050597402597401,"STSBenchmark":0.8681105691398512,"StackOverflowQA":0.84345,"MultiEURLEXMultilabelClassification":0.04686347826086957,"NorwegianCourtsBitextMining":0.9342105263157895,"PlscClusteringP2P.v2":0.7334101190608784,"ToxicConversationsClassification":0.857373046875,"BrazilianToxicTweetsClassification":0.257861328125,"IndicLangClassification":0.19078506147675717,"News21InstructionRetrieval":0.041129,"GujaratiNewsClassification":0.8795902883156298,"SiswatiNewsClassification":0.595,"STS17":0.8587071943485364,"NollySentiBitextMining":0.5584828382999115,"STS15":0.8848375378824065,"TempReasonL1":0.02177,"MedrxivClusteringP2P.v2":0.49030029866366104,"TRECCOVID":0.80374,"NepaliNewsClassification":0.96455078125,"ArmenianParaphrasePC":0.9265075872104955,"AmazonCounterfactualClassification":0.8615203983213754,"KorHateSpeechMLClassification":0.0842906234658812,"BelebeleRetrieval":0.775392420212766,"AlloprofReranking":0.8109504605331439,"NordicLangClassification":0.7322999999999998,"StatcanDialogueDatasetRetrieval":0.378685,"RuBQReranking":0.7413167186005539,"STSES":0.7830337680474654,"WikiClusteringP2P.v2":0.3077499816043735,"FinParaSTS":0.257195529264813,"OpusparcusPC":0.9599717595594743,"CataloniaTweetClassification":0.5233751308189349,"GermanSTSBenchmark":0.8475471109539576,"SwissJudgementClassification":0.5659687211360838,"MLQARetrieval":0.7869177551020409,"SwednClusteringP2P":0.512087241288512,"DBpediaClassification":0.954638671875,"HagridRetrieval":0.99045,"TswanaNewsClassification":0.3344969199178645,"WikipediaRetrievalMultilingual":0.88971875,"ArguAna":0.54565,"MIRACLRetrievalHardNegatives":0.5158155555555556,"IsiZuluNewsClassification":0.26462765957446804,"DiaBlaBitextMining":0.8514633147722919,"LegalBenchCorporateLobbying":0.9521,"EstonianValenceClassification":0.426161369193154,"SinhalaNewsClassification":0.668994140625,"SprintDuplicateQuestions":0.9314139545432241,"CovidRetrieval":0.81041,"IndicCrosslingualSTS":0.41814246601955257,"Core17InstructionRetrieval":0.067798,"RTE3":0.9078864343023099,"BibleNLPBitextMining":0.13587231117392606,"AfriSentiClassification":0.44384189781569644,"PAC":0.6631914277439908,"VoyageMMarcoReranking":0.7006085195437917,"GreekLegalCodeClassification":0.2267333984375,"KurdishSentimentClassification":0.6804730749874183,"Robust04InstructionRetrieval":0.039256,"TERRa":0.6760965595822725,"indonli":0.6683386443102921,"SpartQA":0.18777,"SentimentAnalysisHindi":0.6234053406046158,"ItaCaseholdClassification":0.7158371040723981,"OdiaNewsClassification":0.8023839743091854,"MasakhaNEWSClassification":0.7939616789673823,"FinancialPhrasebankClassification":0.7537985865724381,"ArXivHierarchicalClusteringP2P":0.681929207141039,"CLSClusteringP2P.v2":0.48419272227510957,"CTKFactsNLI":0.8779832630142748,"JSICK":0.7320416551353325,"STSB":0.8246545065922576,"FloresBitextMining":0.7039316876155357,"MacedonianTweetSentimentClassification":0.618700614574188,"TweetTopicSingleClassification":0.7305375073833431,"SIB200ClusteringS2S":0.3773466578510028,"HALClusteringS2S.v2":0.314552198945281,"BulgarianStoreReviewSentimentClassfication":0.7291208791208791,"CzechProductReviewSentimentClassification":0.55,"PawsXPairClassification":0.7523734722353675,"FilipinoShopeeReviewsClassification":0.38618164062500004,"SemRel24STS":0.6294644141747185,"BigPatentClustering.v2":0.2879449921867366,"ArXivHierarchicalClusteringS2S":0.6484694347666395,"AILAStatutes":0.33765,"MultiHateClassification":0.7226,"MasakhaNEWSClusteringS2S":0.49908696618175497,"DalajClassification":0.5352477477477479,"T2Reranking":0.6780494012637375,"WebLINXCandidatesReranking":0.12501342884346275,"KorSarcasmClassification":0.597265625,"NusaX-senti":0.6991041666666667,"StackExchangeClustering.v2":0.8026367734971261,"Tatoeba":0.7351357497714069,"PolEmo2.0-OUT":0.5449392712550607,"RomaniBibleClustering":0.4205841107965322,"STS22.v2":0.693392330957762,"PoemSentimentClassification":0.5554761904761905,"IndicGenBenchFloresBitextMining":0.90591099064847},"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":{"STS":0.742543392834596,"Classification":0.6610901994781951,"Clustering":0.518220272480058,"PairClassification":0.8023249556277056,"Reranking":0.6468417777777778,"Retrieval":0.6224154724714945,"InstructionReranking":0.004926333333333334,"BitextMining":0.7228292769299052,"MultilabelClassification":0.26416903478260867},"scoresByTask":{"ScalaClassification":0.53063975,"IndonesianIdClickbaitClassification":0.598071,"SICK-R":0.802474,"SCIDOCS":0.22118,"PunjabiNewsClassification":0.796815,"AlloProfClusteringS2S.v2":0.53315,"SlovakMovieReviewSentimentClassification":0.86416,"WikipediaRerankingMultilingual":0.8393925,"NTREXBitextMining":0.8232469284968684,"NusaParagraphEmotionClassification":0.5283312,"MassiveIntentClassification":0.6760138529411764,"STS13":0.876034,"CyrillicTurkicLangClassification":0.703516,"CSFDSKMovieReviewSentimentClassification":0.425781,"XNLI":0.7835226785714287,"CEDRClassification":0.51525,"WinoGrande":0.4871,"IN22GenBitextMining":0.776897604743083,"NusaTranslationBitextMining":0.7875619090909091,"TwitterURLCorpus":0.87191,"PpcPC":0.927042,"TwitterHjerneRetrieval":0.77886,"MalteseNewsClassification":0.340705,"STS12":0.826502,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.98912825,"SwahiliNewsClassification":0.625391,"BiorxivClusteringP2P.v2":0.460184,"STS14":0.851872,"BornholmBitextMining":0.530667,"FaroeseSTS":0.671842,"WikiCitiesClustering":0.75621,"NusaXBitextMining":0.8114531818181819,"STSBenchmark":0.87028,"StackOverflowQA":0.93487,"MultiEURLEXMultilabelClassification":0.05149217391304348,"NorwegianCourtsBitextMining":0.926901,"PlscClusteringP2P.v2":0.742843,"ToxicConversationsClassification":0.721338,"BrazilianToxicTweetsClassification":0.29165,"IndicLangClassification":0.877566,"News21InstructionRetrieval":0.029695,"GujaratiNewsClassification":0.880653,"SiswatiNewsClassification":0.73125,"STS17":0.8376370909090909,"NollySentiBitextMining":0.44260425,"STS15":0.89122,"TempReasonL1":0.01156,"MedrxivClusteringP2P.v2":0.443183,"TRECCOVID":0.82367,"NepaliNewsClassification":0.958496,"ArmenianParaphrasePC":0.951468,"AmazonCounterfactualClassification":0.78001725,"KorHateSpeechMLClassification":0.121748,"BelebeleRetrieval":0.7509175265957446,"AlloprofReranking":0.81257,"NordicLangClassification":0.700333,"StatcanDialogueDatasetRetrieval":0.3573625,"RuBQReranking":0.75563,"STSES":0.756258,"WikiClusteringP2P.v2":0.31086585714285714,"FinParaSTS":0.23861949999999998,"OpusparcusPC":0.9578023333333333,"CataloniaTweetClassification":0.4782855,"GermanSTSBenchmark":0.851963,"SwissJudgementClassification":0.5468143333333333,"MLQARetrieval":0.7344730612244897,"SwednClusteringP2P":0.4928205,"DBpediaClassification":0.953125,"HagridRetrieval":0.98646,"TswanaNewsClassification":0.381725,"WikipediaRetrievalMultilingual":0.85876375,"ArguAna":0.55721,"MIRACLRetrievalHardNegatives":0.6610616666666667,"IsiZuluNewsClassification":0.267154,"DiaBlaBitextMining":0.88037,"LegalBenchCorporateLobbying":0.94365,"EstonianValenceClassification":0.518704,"SinhalaNewsClassification":0.583887,"SprintDuplicateQuestions":0.955383,"CovidRetrieval":0.83146,"IndicCrosslingualSTS":0.43602841666666664,"Core17InstructionRetrieval":0.016112,"RTE3":0.886658,"BibleNLPBitextMining":0.15043005132850243,"AfriSentiClassification":0.4365273333333333,"PAC":0.672893,"VoyageMMarcoReranking":0.68731,"GreekLegalCodeClassification":0.505127,"KurdishSentimentClassification":0.716608,"Robust04InstructionRetrieval":-0.031028,"TERRa":0.563972,"indonli":0.564612,"SpartQA":0.0616,"SentimentAnalysisHindi":0.723239,"ItaCaseholdClassification":0.779638,"OdiaNewsClassification":0.806022,"MasakhaNEWSClassification":0.7903943125,"FinancialPhrasebankClassification":0.876723,"ArXivHierarchicalClusteringP2P":0.647862,"CLSClusteringP2P.v2":0.453669,"CTKFactsNLI":0.7896965,"JSICK":0.82459,"STSB":0.831472,"FloresBitextMining":0.6723022004732927,"MacedonianTweetSentimentClassification":0.625812,"TweetTopicSingleClassification":0.78228,"SIB200ClusteringS2S":0.41772550253807106,"HALClusteringS2S.v2":0.318698,"BulgarianStoreReviewSentimentClassfication":0.702198,"CzechProductReviewSentimentClassification":0.630859,"PawsXPairClassification":0.573508,"FilipinoShopeeReviewsClassification":0.4087405,"SemRel24STS":0.6214246666666666,"BigPatentClustering.v2":0.445002,"ArXivHierarchicalClusteringS2S":0.642188,"AILAStatutes":0.35328,"MultiHateClassification":0.6955545454545454,"MasakhaNEWSClusteringS2S":0.5307355,"DalajClassification":0.498086,"T2Reranking":0.66705,"WebLINXCandidatesReranking":0.11909816666666667,"KorSarcasmClassification":0.574268,"NusaX-senti":0.7021875,"StackExchangeClustering.v2":0.686329,"Tatoeba":0.7109822499999999,"PolEmo2.0-OUT":0.710931,"RomaniBibleClustering":0.410059,"STS22.v2":0.6924776111111111,"PoemSentimentClassification":0.6607235,"IndicGenBenchFloresBitextMining":0.8942359741379311},"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":{"Classification":0.622421414699146,"Clustering":0.5059780197295368,"PairClassification":0.8043335178634308,"Reranking":0.6436680161377836,"Retrieval":0.5868504247495886,"InstructionReranking":0.009449999999999998,"BitextMining":0.703398384627839,"MultilabelClassification":0.24769960954581158},"scoresByTask":{"ScalaClassification":0.51119375,"IndonesianIdClickbaitClassification":0.605751,"SICK-R":0.8430523596401186,"SCIDOCS":0.21932,"PunjabiNewsClassification":0.549045,"AlloProfClusteringS2S.v2":0.563914,"SlovakMovieReviewSentimentClassification":0.873193,"WikipediaRerankingMultilingual":0.9013028125,"NTREXBitextMining":0.7804424290187891,"NusaParagraphEmotionClassification":0.43114410000000003,"MassiveIntentClassification":0.6508960294117647,"STS13":0.8826850223126127,"CyrillicTurkicLangClassification":0.674756,"CSFDSKMovieReviewSentimentClassification":0.451416,"XNLI":0.7473036428571429,"CEDRClassification":0.515356004250797,"WinoGrande":0.52069,"IN22GenBitextMining":0.6617717351778656,"NusaTranslationBitextMining":0.7746697272727272,"TwitterURLCorpus":0.8751158697451964,"PpcPC":0.926578,"TwitterHjerneRetrieval":0.40841,"MalteseNewsClassification":0.369569,"STS12":0.7844413657529001,"LEMBPasskeyRetrieval":0.3775,"BUCC.v2":0.9894529999999999,"SwahiliNewsClassification":0.608203,"BiorxivClusteringP2P.v2":0.458864,"STS14":0.8449441798385489,"BornholmBitextMining":0.555822,"FaroeseSTS":0.800362,"WikiCitiesClustering":0.899577,"NusaXBitextMining":0.7815899090909091,"STSBenchmark":0.8880650007123052,"StackOverflowQA":0.91709,"MultiEURLEXMultilabelClassification":0.03961304347826087,"NorwegianCourtsBitextMining":0.937135,"PlscClusteringP2P.v2":0.727972,"ToxicConversationsClassification":0.7129380000000001,"BrazilianToxicTweetsClassification":0.223975,"IndicLangClassification":0.77151,"News21InstructionRetrieval":0.017141,"GujaratiNewsClassification":0.714416,"SiswatiNewsClassification":0.555,"NollySentiBitextMining":0.45958475,"STS15":0.9027866978947013,"TempReasonL1":0.04602,"MedrxivClusteringP2P.v2":0.409949,"TRECCOVID":0.8709700000000001,"NepaliNewsClassification":0.944287,"ArmenianParaphrasePC":0.924926,"AmazonCounterfactualClassification":0.8300365,"KorHateSpeechMLClassification":0.089985,"BelebeleRetrieval":0.7057427659574469,"AlloprofReranking":0.798192,"NordicLangClassification":0.688967,"StatcanDialogueDatasetRetrieval":0.469695,"RuBQReranking":0.7684186176600346,"STSES":0.78561,"WikiClusteringP2P.v2":0.30913050000000003,"FinParaSTS":0.189342,"OpusparcusPC":0.94938925,"CataloniaTweetClassification":0.52713875,"GermanSTSBenchmark":0.861437,"SwissJudgementClassification":0.5522766666666666,"MLQARetrieval":0.7046224489795918,"SwednClusteringP2P":0.47210050000000003,"DBpediaClassification":0.95835,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.392197,"WikipediaRetrievalMultilingual":0.907656875,"ArguAna":0.69649,"MIRACLRetrievalHardNegatives":0.5533605555555555,"IsiZuluNewsClassification":0.269681,"DiaBlaBitextMining":0.86664,"LegalBenchCorporateLobbying":0.95379,"EstonianValenceClassification":0.438631,"SinhalaNewsClassification":0.587695,"SprintDuplicateQuestions":0.9627527798658713,"CovidRetrieval":0.74663,"IndicCrosslingualSTS":0.22255258333333336,"Core17InstructionRetrieval":0.04674,"RTE3":0.88877125,"BibleNLPBitextMining":0.15659647101449276,"AfriSentiClassification":0.44996433333333336,"PAC":0.675094,"VoyageMMarcoReranking":0.612351,"GreekLegalCodeClassification":0.186084,"KurdishSentimentClassification":0.705133,"Robust04InstructionRetrieval":-0.035531,"TERRa":0.6000116897438131,"indonli":0.553272,"SpartQA":0.08408,"SentimentAnalysisHindi":0.635306,"ItaCaseholdClassification":0.710407,"OdiaNewsClassification":0.567309,"MasakhaNEWSClassification":0.7675476875,"FinancialPhrasebankClassification":0.862014,"ArXivHierarchicalClusteringP2P":0.633776,"CLSClusteringP2P.v2":0.433447,"CTKFactsNLI":0.8144724999999999,"JSICK":0.843428,"STSB":0.8316334999999999,"FloresBitextMining":0.609684093427026,"MacedonianTweetSentimentClassification":0.533802,"TweetTopicSingleClassification":0.722386,"SIB200ClusteringS2S":0.38398987817258884,"HALClusteringS2S.v2":0.290222,"BulgarianStoreReviewSentimentClassfication":0.804396,"CzechProductReviewSentimentClassification":0.632471,"PawsXPairClassification":0.6050757142857143,"FilipinoShopeeReviewsClassification":0.4232665,"SemRel24STS":0.6740269166666667,"BigPatentClustering.v2":0.248052,"ArXivHierarchicalClusteringS2S":0.62165,"AILAStatutes":0.39228,"MultiHateClassification":0.7272181818181819,"MasakhaNEWSClusteringS2S":0.5143464375,"DalajClassification":0.507207,"T2Reranking":0.668938,"WebLINXCandidatesReranking":0.11280566666666668,"KorSarcasmClassification":0.593604,"NusaX-senti":0.7347708333333333,"StackExchangeClustering.v2":0.721659,"Tatoeba":0.7132496696428571,"PolEmo2.0-OUT":0.668623,"RomaniBibleClustering":0.406999,"STS22.v2":0.6971411666666667,"PoemSentimentClassification":0.5587955,"IndicGenBenchFloresBitextMining":0.8575402155172414},"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":{"STS":0.7407452672032828,"Classification":0.6712455062549227,"Clustering":0.5303856563434781,"PairClassification":0.8096799004329004,"Reranking":0.6275708611111112,"Retrieval":0.6398634021244431,"InstructionReranking":-0.00880666666666667,"BitextMining":0.6858700701409579,"MultilabelClassification":0.25486494782608693},"scoresByTask":{"ScalaClassification":0.5034665,"IndonesianIdClickbaitClassification":0.610959,"SICK-R":0.800527,"SCIDOCS":0.26645,"PunjabiNewsClassification":0.841401,"AlloProfClusteringS2S.v2":0.591168,"SlovakMovieReviewSentimentClassification":0.90376,"WikipediaRerankingMultilingual":0.8749075,"NTREXBitextMining":0.7877296649269312,"NusaParagraphEmotionClassification":0.5031317,"MassiveIntentClassification":0.6683637450980392,"STS13":0.861862,"CyrillicTurkicLangClassification":0.698047,"CSFDSKMovieReviewSentimentClassification":0.494434,"XNLI":0.8068827142857142,"CEDRClassification":0.447078,"WinoGrande":0.31169,"IN22GenBitextMining":0.7692260059288538,"NusaTranslationBitextMining":0.7708457272727273,"TwitterURLCorpus":0.873195,"PpcPC":0.918139,"TwitterHjerneRetrieval":0.75668,"MalteseNewsClassification":0.346713,"STS12":0.76155,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.98895225,"SwahiliNewsClassification":0.636377,"BiorxivClusteringP2P.v2":0.522749,"STS14":0.786946,"BornholmBitextMining":0.47979,"FaroeseSTS":0.750418,"WikiCitiesClustering":0.906378,"NusaXBitextMining":0.7030506363636364,"STSBenchmark":0.860561,"StackOverflowQA":0.95786,"MultiEURLEXMultilabelClassification":0.04944173913043478,"NorwegianCourtsBitextMining":0.932018,"PlscClusteringP2P.v2":0.746272,"ToxicConversationsClassification":0.88335,"BrazilianToxicTweetsClassification":0.196875,"IndicLangClassification":0.808068,"News21InstructionRetrieval":0.000986,"GujaratiNewsClassification":0.900303,"SiswatiNewsClassification":0.49125,"STS17":0.8529306363636363,"NollySentiBitextMining":0.35496875,"STS15":0.866046,"TempReasonL1":0.00854,"MedrxivClusteringP2P.v2":0.440271,"TRECCOVID":0.77046,"NepaliNewsClassification":0.960498,"ArmenianParaphrasePC":0.94854,"AmazonCounterfactualClassification":0.891966375,"KorHateSpeechMLClassification":0.234217,"BelebeleRetrieval":0.772067420212766,"AlloprofReranking":0.79694,"NordicLangClassification":0.653933,"StatcanDialogueDatasetRetrieval":0.46021,"RuBQReranking":0.66322,"STSES":0.789232,"WikiClusteringP2P.v2":0.2986358571428572,"FinParaSTS":0.20856550000000001,"OpusparcusPC":0.9454583333333333,"CataloniaTweetClassification":0.5049605,"GermanSTSBenchmark":0.8182925,"SwissJudgementClassification":0.5730773333333333,"MLQARetrieval":0.7742517346938776,"SwednClusteringP2P":0.470159,"DBpediaClassification":0.923779,"HagridRetrieval":0.9893,"TswanaNewsClassification":0.32423,"WikipediaRetrievalMultilingual":0.91640875,"ArguAna":0.71673,"MIRACLRetrievalHardNegatives":0.6527533333333334,"IsiZuluNewsClassification":0.240957,"DiaBlaBitextMining":0.853725,"LegalBenchCorporateLobbying":0.94846,"EstonianValenceClassification":0.506112,"SinhalaNewsClassification":0.687061,"SprintDuplicateQuestions":0.964176,"CovidRetrieval":0.79944,"IndicCrosslingualSTS":0.5368493333333333,"Core17InstructionRetrieval":0.049267,"RTE3":0.8914610000000001,"BibleNLPBitextMining":0.11837455555555557,"AfriSentiClassification":0.44986575,"PAC":0.706313,"VoyageMMarcoReranking":0.61414,"GreekLegalCodeClassification":0.3970945,"KurdishSentimentClassification":0.727781,"Robust04InstructionRetrieval":-0.076673,"TERRa":0.574927,"indonli":0.577512,"SpartQA":0.10608,"SentimentAnalysisHindi":0.745913,"ItaCaseholdClassification":0.704977,"OdiaNewsClassification":0.87916,"MasakhaNEWSClassification":0.7943775625,"FinancialPhrasebankClassification":0.910689,"ArXivHierarchicalClusteringP2P":0.650087,"CLSClusteringP2P.v2":0.441965,"CTKFactsNLI":0.835466,"JSICK":0.818613,"STSB":0.8028474999999999,"FloresBitextMining":0.59375587935864,"MacedonianTweetSentimentClassification":0.644776,"TweetTopicSingleClassification":0.779209,"SIB200ClusteringS2S":0.38542045685279186,"HALClusteringS2S.v2":0.323516,"BulgarianStoreReviewSentimentClassfication":0.781868,"CzechProductReviewSentimentClassification":0.63623,"PawsXPairClassification":0.5707218571428572,"FilipinoShopeeReviewsClassification":0.45031750000000004,"SemRel24STS":0.6535157500000001,"BigPatentClustering.v2":0.419563,"ArXivHierarchicalClusteringS2S":0.635698,"AILAStatutes":0.46016,"MultiHateClassification":0.6896636363636364,"MasakhaNEWSClusteringS2S":0.4958411875,"DalajClassification":0.500113,"T2Reranking":0.6483,"WebLINXCandidatesReranking":0.16791766666666666,"KorSarcasmClassification":0.762842,"NusaX-senti":0.7256041666666667,"StackExchangeClustering.v2":0.725746,"Tatoeba":0.6802040803571429,"PolEmo2.0-OUT":0.680162,"RomaniBibleClustering":0.432701,"STS22.v2":0.6831680555555555,"PoemSentimentClassification":0.6871155,"IndicGenBenchFloresBitextMining":0.8836703620689655},"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":{"STS":0.7681467082456619,"Classification":0.649409808459209,"Clustering":0.5074454001117067,"PairClassification":0.8083367360349741,"Reranking":0.6260244546722679,"Retrieval":0.5711357853902987,"InstructionReranking":-0.003993032447339658,"BitextMining":0.801269703934022,"MultilabelClassification":0.2297405708394737},"scoresByTask":{"ScalaClassification":0.50364990234375,"IndonesianIdClickbaitClassification":0.6132581705544956,"SICK-R":0.8173085443529001,"SCIDOCS":0.19238,"PunjabiNewsClassification":0.8439490445859873,"AlloProfClusteringS2S.v2":0.5646565482025169,"SlovakMovieReviewSentimentClassification":0.875048828125,"WikipediaRerankingMultilingual":0.9096414682539683,"NTREXBitextMining":0.9367549966537496,"NusaParagraphEmotionClassification":0.44086054444686473,"MassiveIntentClassification":0.6276247254901961,"STS13":0.8805498843767127,"CyrillicTurkicLangClassification":0.8107421875,"CSFDSKMovieReviewSentimentClassification":0.4302734375,"XNLI":0.791604892857143,"CEDRClassification":0.5000531349628055,"WinoGrande":0.54272,"IN22GenBitextMining":0.7888523646095448,"NusaTranslationBitextMining":0.8507410091848311,"TwitterURLCorpus":0.8673195968908498,"PpcPC":0.934504745022352,"TwitterHjerneRetrieval":0.36855,"MalteseNewsClassification":0.29029168480626905,"STS12":0.8252836101249812,"LEMBPasskeyRetrieval":0.3775,"BUCC.v2":0.9895291237745646,"SwahiliNewsClassification":0.59111328125,"BiorxivClusteringP2P.v2":0.42746422233601206,"STS14":0.8482883151106293,"BornholmBitextMining":0.5541666666666667,"FaroeseSTS":0.8043799892800864,"WikiCitiesClustering":0.7622072269296974,"NusaXBitextMining":0.8528844036237085,"STSBenchmark":0.8839290178655834,"StackOverflowQA":0.85816,"MultiEURLEXMultilabelClassification":0.05502608695652174,"NorwegianCourtsBitextMining":0.9349415204678363,"PlscClusteringP2P.v2":0.7273714261252685,"ToxicConversationsClassification":0.6681640625,"BrazilianToxicTweetsClassification":0.201221,"IndicLangClassification":0.8626569794200802,"News21InstructionRetrieval":0.015037942951097161,"GujaratiNewsClassification":0.8751896813353566,"SiswatiNewsClassification":0.475,"STS17":0.8596897124958758,"NollySentiBitextMining":0.8071080139372823,"STS15":0.9102208309425296,"TempReasonL1":0.01197,"MedrxivClusteringP2P.v2":0.3809242836891137,"TRECCOVID":0.82509,"NepaliNewsClassification":0.969873046875,"ArmenianParaphrasePC":0.9595589691755348,"AmazonCounterfactualClassification":0.6860635595543068,"KorHateSpeechMLClassification":0.10211094747177221,"BelebeleRetrieval":0.8091880585106382,"AlloprofReranking":0.7467772958086248,"NordicLangClassification":0.7657,"StatcanDialogueDatasetRetrieval":0.3367,"RuBQReranking":0.716591133500063,"STSES":0.7707534827243024,"WikiClusteringP2P.v2":0.31450801211002777,"FinParaSTS":0.25615327512474306,"OpusparcusPC":0.9546305317773708,"CataloniaTweetClassification":0.51035,"GermanSTSBenchmark":0.8591879766484157,"SwissJudgementClassification":0.5546189493501322,"MLQARetrieval":0.7616448979591837,"SwednClusteringP2P":0.47559622454366446,"DBpediaClassification":0.954638671875,"HagridRetrieval":0.98678,"TswanaNewsClassification":0.46365503080082143,"WikipediaRetrievalMultilingual":0.915375625,"ArguAna":0.58476,"MIRACLRetrievalHardNegatives":0.5771855555555556,"IsiZuluNewsClassification":0.37340425531914895,"DiaBlaBitextMining":0.8731437587387483,"LegalBenchCorporateLobbying":0.9425,"EstonianValenceClassification":0.49095354523227386,"SinhalaNewsClassification":0.780419921875,"SprintDuplicateQuestions":0.921893142357913,"CovidRetrieval":0.75798,"IndicCrosslingualSTS":0.5368853300825269,"Core17InstructionRetrieval":0.018204591164585913,"RTE3":0.8791727578123854,"BibleNLPBitextMining":0.22027836813106355,"AfriSentiClassification":0.4538743185721043,"PAC":0.656849116710107,"VoyageMMarcoReranking":0.6248323780301285,"GreekLegalCodeClassification":0.3228271484375,"KurdishSentimentClassification":0.8087569199798692,"Robust04InstructionRetrieval":-0.04522163145770205,"TERRa":0.6388924936160191,"indonli":0.5617010158935305,"SpartQA":0.13537,"SentimentAnalysisHindi":0.5955430304148033,"ItaCaseholdClassification":0.6294117647058824,"OdiaNewsClassification":0.8453064922708904,"MasakhaNEWSClassification":0.8044986875,"FinancialPhrasebankClassification":0.844434628975265,"ArXivHierarchicalClusteringP2P":0.62534993503603,"CLSClusteringP2P.v2":0.4240111865680486,"CTKFactsNLI":0.8262079764718732,"JSICK":0.8255017107192334,"STSB":0.8309800997629713,"FloresBitextMining":0.8596172923065778,"MacedonianTweetSentimentClassification":0.6670763827919226,"TweetTopicSingleClassification":0.7487891317188422,"SIB200ClusteringS2S":0.4709087664974619,"HALClusteringS2S.v2":0.30071654993285046,"BulgarianStoreReviewSentimentClassfication":0.7862637362637362,"CzechProductReviewSentimentClassification":0.60654296875,"PawsXPairClassification":0.5562179745097441,"FilipinoShopeeReviewsClassification":0.4075927734375,"SemRel24STS":0.6917308958236403,"BigPatentClustering.v2":0.4318759632840442,"ArXivHierarchicalClusteringS2S":0.6128405793014597,"AILAStatutes":0.29659,"MultiHateClassification":0.6474454545454545,"MasakhaNEWSClusteringS2S":0.5923322751599159,"DalajClassification":0.5000000000000001,"T2Reranking":0.6712059871450872,"WebLINXCandidatesReranking":0.08709846529573541,"KorSarcasmClassification":0.581982421875,"NusaX-senti":0.70975,"StackExchangeClustering.v2":0.5996877429544218,"Tatoeba":0.8373624107142856,"PolEmo2.0-OUT":0.5696356275303643,"RomaniBibleClustering":0.4086754591167735,"STS22.v2":0.6895046564954582,"PoemSentimentClassification":0.5708333333333333,"IndicGenBenchFloresBitextMining":0.9111262223334274},"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":{"STS":0.7452079659090909,"Classification":0.6621744674848692,"Clustering":0.5004062391395485,"PairClassification":0.7968472272727273,"Reranking":0.6371424236111111,"Retrieval":0.6160833544879734,"InstructionReranking":-0.002168,"BitextMining":0.7288437830098269,"MultilabelClassification":0.251506652173913},"scoresByTask":{"ScalaClassification":0.5231567500000001,"IndonesianIdClickbaitClassification":0.593802,"SICK-R":0.807345,"SCIDOCS":0.20999,"PunjabiNewsClassification":0.802548,"AlloProfClusteringS2S.v2":0.527256,"SlovakMovieReviewSentimentClassification":0.861865,"WikipediaRerankingMultilingual":0.842271875,"NTREXBitextMining":0.8689591393528184,"NusaParagraphEmotionClassification":0.5052847,"MassiveIntentClassification":0.6731898431372548,"STS13":0.877795,"CyrillicTurkicLangClassification":0.766309,"CSFDSKMovieReviewSentimentClassification":0.414941,"XNLI":0.7707288928571429,"CEDRClassification":0.502179,"WinoGrande":0.43449,"IN22GenBitextMining":0.7694567648221344,"NusaTranslationBitextMining":0.7739196363636364,"TwitterURLCorpus":0.872407,"PpcPC":0.919279,"TwitterHjerneRetrieval":0.79153,"MalteseNewsClassification":0.316282,"STS12":0.820587,"LEMBPasskeyRetrieval":0.99,"BUCC.v2":0.9892185,"SwahiliNewsClassification":0.638135,"BiorxivClusteringP2P.v2":0.440745,"STS14":0.84469,"BornholmBitextMining":0.480676,"FaroeseSTS":0.692159,"WikiCitiesClustering":0.784485,"NusaXBitextMining":0.8060162727272728,"STSBenchmark":0.863069,"StackOverflowQA":0.89825,"MultiEURLEXMultilabelClassification":0.04835826086956521,"NorwegianCourtsBitextMining":0.924708,"PlscClusteringP2P.v2":0.728,"ToxicConversationsClassification":0.696484,"BrazilianToxicTweetsClassification":0.22876,"IndicLangClassification":0.858469,"News21InstructionRetrieval":0.012787,"GujaratiNewsClassification":0.879818,"SiswatiNewsClassification":0.74125,"STS17":0.8357254545454545,"NollySentiBitextMining":0.50258875,"STS15":0.891087,"TempReasonL1":0.01165,"MedrxivClusteringP2P.v2":0.415562,"TRECCOVID":0.82314,"NepaliNewsClassification":0.970898,"ArmenianParaphrasePC":0.955989,"AmazonCounterfactualClassification":0.772548125,"KorHateSpeechMLClassification":0.161954,"BelebeleRetrieval":0.7652732180851064,"AlloprofReranking":0.79345,"NordicLangClassification":0.7661,"StatcanDialogueDatasetRetrieval":0.301715,"RuBQReranking":0.74387,"STSES":0.74677,"WikiClusteringP2P.v2":0.2957986428571429,"FinParaSTS":0.24609399999999998,"OpusparcusPC":0.95539525,"CataloniaTweetClassification":0.493877,"GermanSTSBenchmark":0.838434,"SwissJudgementClassification":0.548542,"MLQARetrieval":0.7276528571428571,"SwednClusteringP2P":0.412854,"DBpediaClassification":0.951221,"HagridRetrieval":0.98707,"TswanaNewsClassification":0.342094,"WikipediaRetrievalMultilingual":0.85939875,"ArguAna":0.53869,"MIRACLRetrievalHardNegatives":0.6561505555555556,"IsiZuluNewsClassification":0.278324,"DiaBlaBitextMining":0.8755,"LegalBenchCorporateLobbying":0.9249,"EstonianValenceClassification":0.509535,"SinhalaNewsClassification":0.764111,"SprintDuplicateQuestions":0.951494,"CovidRetrieval":0.80805,"IndicCrosslingualSTS":0.48362208333333334,"Core17InstructionRetrieval":0.010671,"RTE3":0.873317,"BibleNLPBitextMining":0.152160547705314,"AfriSentiClassification":0.4767460833333333,"PAC":0.689429,"VoyageMMarcoReranking":0.67788,"GreekLegalCodeClassification":0.49313949999999995,"KurdishSentimentClassification":0.733216,"Robust04InstructionRetrieval":-0.029962,"TERRa":0.567637,"indonli":0.542707,"SpartQA":0.01291,"SentimentAnalysisHindi":0.718048,"ItaCaseholdClassification":0.70905,"OdiaNewsClassification":0.66693,"MasakhaNEWSClassification":0.8000848125,"FinancialPhrasebankClassification":0.86462,"ArXivHierarchicalClusteringP2P":0.658565,"CLSClusteringP2P.v2":0.434122,"CTKFactsNLI":0.7958695,"JSICK":0.821398,"STSB":0.8212010000000001,"FloresBitextMining":0.6986152633536172,"MacedonianTweetSentimentClassification":0.637489,"TweetTopicSingleClassification":0.789309,"SIB200ClusteringS2S":0.4193935583756345,"HALClusteringS2S.v2":0.324164,"BulgarianStoreReviewSentimentClassfication":0.687363,"CzechProductReviewSentimentClassification":0.62959,"PawsXPairClassification":0.5604958571428572,"FilipinoShopeeReviewsClassification":0.420581,"SemRel24STS":0.6512855833333333,"BigPatentClustering.v2":0.344667,"ArXivHierarchicalClusteringS2S":0.601575,"AILAStatutes":0.34864,"MultiHateClassification":0.6899454545454545,"MasakhaNEWSClusteringS2S":0.573370625,"DalajClassification":0.50259,"T2Reranking":0.6665,"WebLINXCandidatesReranking":0.09888266666666667,"KorSarcasmClassification":0.584961,"NusaX-senti":0.7030208333333333,"StackExchangeClustering.v2":0.634838,"Tatoeba":0.7375185892857142,"PolEmo2.0-OUT":0.715789,"RomaniBibleClustering":0.411104,"STS22.v2":0.6820653333333334,"PoemSentimentClassification":0.609098,"IndicGenBenchFloresBitextMining":0.8956317155172413},"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":{"STS":0.7440086150568181,"Classification":0.6694181807268996,"Clustering":0.5280494945697742,"PairClassification":0.8092368235930736,"Reranking":0.6188365763888889,"Retrieval":0.6220803669797311,"InstructionReranking":-0.005482000000000001,"BitextMining":0.6924725388107251,"MultilabelClassification":0.2541464260869565},"scoresByTask":{"ScalaClassification":0.5032227499999999,"IndonesianIdClickbaitClassification":0.601925,"SICK-R":0.799824,"SCIDOCS":0.1106,"PunjabiNewsClassification":0.847134,"AlloProfClusteringS2S.v2":0.591679,"SlovakMovieReviewSentimentClassification":0.903223,"WikipediaRerankingMultilingual":0.872143125,"NTREXBitextMining":0.7869084514613779,"NusaParagraphEmotionClassification":0.4976388,"MassiveIntentClassification":0.6701578235294118,"STS13":0.866784,"CyrillicTurkicLangClassification":0.673389,"CSFDSKMovieReviewSentimentClassification":0.486475,"XNLI":0.8051634285714285,"CEDRClassification":0.448353,"WinoGrande":0.32651,"IN22GenBitextMining":0.7681246343873518,"NusaTranslationBitextMining":0.7761112727272728,"TwitterURLCorpus":0.871519,"PpcPC":0.919168,"TwitterHjerneRetrieval":0.75323,"MalteseNewsClassification":0.327819,"STS12":0.774342,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.9886285,"SwahiliNewsClassification":0.658838,"BiorxivClusteringP2P.v2":0.52661,"STS14":0.793612,"BornholmBitextMining":0.549058,"FaroeseSTS":0.751138,"WikiCitiesClustering":0.899384,"NusaXBitextMining":0.7120983636363637,"STSBenchmark":0.869882,"StackOverflowQA":0.93418,"MultiEURLEXMultilabelClassification":0.04879913043478261,"NorwegianCourtsBitextMining":0.928363,"PlscClusteringP2P.v2":0.747716,"ToxicConversationsClassification":0.888574,"BrazilianToxicTweetsClassification":0.198682,"IndicLangClassification":0.813775,"News21InstructionRetrieval":-0.006314,"GujaratiNewsClassification":0.899848,"SiswatiNewsClassification":0.48375,"STS17":0.8488310909090909,"NollySentiBitextMining":0.35978725,"STS15":0.871027,"TempReasonL1":0.01005,"MedrxivClusteringP2P.v2":0.434389,"TRECCOVID":0.8306,"NepaliNewsClassification":0.956299,"ArmenianParaphrasePC":0.948063,"AmazonCounterfactualClassification":0.896566875,"KorHateSpeechMLClassification":0.247079,"BelebeleRetrieval":0.7727886436170213,"AlloprofReranking":0.78134,"NordicLangClassification":0.651367,"StatcanDialogueDatasetRetrieval":0.4937,"RuBQReranking":0.66742,"STSES":0.789407,"WikiClusteringP2P.v2":0.29515457142857143,"FinParaSTS":0.2199305,"OpusparcusPC":0.9449324166666666,"CataloniaTweetClassification":0.49986549999999996,"GermanSTSBenchmark":0.8250715,"SwissJudgementClassification":0.5615543333333334,"MLQARetrieval":0.7725994897959183,"SwednClusteringP2P":0.4691075,"DBpediaClassification":0.911328,"HagridRetrieval":0.9893,"TswanaNewsClassification":0.320534,"WikipediaRetrievalMultilingual":0.90985625,"ArguAna":0.57925,"MIRACLRetrievalHardNegatives":0.6559322222222222,"IsiZuluNewsClassification":0.23484,"DiaBlaBitextMining":0.851912,"LegalBenchCorporateLobbying":0.94483,"EstonianValenceClassification":0.492054,"SinhalaNewsClassification":0.683984,"SprintDuplicateQuestions":0.962493,"CovidRetrieval":0.80065,"IndicCrosslingualSTS":0.53371925,"Core17InstructionRetrieval":0.046944,"RTE3":0.891826,"BibleNLPBitextMining":0.12116699818840579,"AfriSentiClassification":0.444618,"PAC":0.70863,"VoyageMMarcoReranking":0.59834,"GreekLegalCodeClassification":0.35822750000000003,"KurdishSentimentClassification":0.721741,"Robust04InstructionRetrieval":-0.057076,"TERRa":0.576295,"indonli":0.576368,"SpartQA":0.07167,"SentimentAnalysisHindi":0.752141,"ItaCaseholdClassification":0.721719,"OdiaNewsClassification":0.874005,"MasakhaNEWSClassification":0.78279275,"FinancialPhrasebankClassification":0.911617,"ArXivHierarchicalClusteringP2P":0.6466,"CLSClusteringP2P.v2":0.435318,"CTKFactsNLI":0.8325435000000001,"JSICK":0.825712,"STSB":0.8128015,"FloresBitextMining":0.5954414008258475,"MacedonianTweetSentimentClassification":0.642932,"TweetTopicSingleClassification":0.779268,"SIB200ClusteringS2S":0.38203027918781723,"HALClusteringS2S.v2":0.317611,"BulgarianStoreReviewSentimentClassfication":0.790659,"CzechProductReviewSentimentClassification":0.637207,"PawsXPairClassification":0.5732337142857142,"FilipinoShopeeReviewsClassification":0.447827,"SemRel24STS":0.6490451666666667,"BigPatentClustering.v2":0.406363,"ArXivHierarchicalClusteringS2S":0.646988,"AILAStatutes":0.3917,"MultiHateClassification":0.6809272727272727,"MasakhaNEWSClusteringS2S":0.5073005625,"DalajClassification":0.499324,"T2Reranking":0.64941,"WebLINXCandidatesReranking":0.14436633333333335,"KorSarcasmClassification":0.819043,"NusaX-senti":0.7222916666666667,"StackExchangeClustering.v2":0.728621,"Tatoeba":0.6802453660714286,"PolEmo2.0-OUT":0.68664,"RomaniBibleClustering":0.41392,"STS22.v2":0.6730108333333333,"PoemSentimentClassification":0.6670285,"IndicGenBenchFloresBitextMining":0.8842977672413793},"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":{"STS":0.7422241884469698,"Classification":0.6406213244673133,"Clustering":0.5657670402833801,"PairClassification":0.7895111114718614,"Reranking":0.6513787847222222,"Retrieval":0.5929827331064419,"InstructionReranking":0.013864333333333334,"BitextMining":0.7030745865531716,"MultilabelClassification":0.2522665565217391},"scoresByTask":{"ScalaClassification":0.6855835,"IndonesianIdClickbaitClassification":0.614936,"SICK-R":0.797163,"SCIDOCS":0.22189,"PunjabiNewsClassification":0.76879,"AlloProfClusteringS2S.v2":0.47361,"SlovakMovieReviewSentimentClassification":0.825732,"WikipediaRerankingMultilingual":0.877336875,"NTREXBitextMining":0.8164817437369519,"NusaParagraphEmotionClassification":0.42648650000000005,"MassiveIntentClassification":0.8074108725490196,"STS13":0.868571,"CyrillicTurkicLangClassification":0.723975,"CSFDSKMovieReviewSentimentClassification":0.389209,"XNLI":0.7424436428571429,"CEDRClassification":0.540436,"WinoGrande":0.44343,"IN22GenBitextMining":0.7446074308300396,"NusaTranslationBitextMining":0.7723251818181819,"TwitterURLCorpus":0.866655,"PpcPC":0.892381,"TwitterHjerneRetrieval":0.71348,"MalteseNewsClassification":0.354071,"STS12":0.819757,"LEMBPasskeyRetrieval":0.8225,"BUCC.v2":0.98911975,"SwahiliNewsClassification":0.639209,"BiorxivClusteringP2P.v2":0.610184,"STS14":0.840933,"BornholmBitextMining":0.456573,"FaroeseSTS":0.703516,"WikiCitiesClustering":0.899691,"NusaXBitextMining":0.7639147272727272,"STSBenchmark":0.876024,"StackOverflowQA":0.94347,"MultiEURLEXMultilabelClassification":0.04341478260869565,"NorwegianCourtsBitextMining":0.92617,"PlscClusteringP2P.v2":0.724281,"ToxicConversationsClassification":0.904541,"BrazilianToxicTweetsClassification":0.228271,"IndicLangClassification":0.854231,"News21InstructionRetrieval":0.010592,"GujaratiNewsClassification":0.838619,"SiswatiNewsClassification":0.61875,"STS17":0.8335941818181819,"NollySentiBitextMining":0.46172925,"STS15":0.888497,"TempReasonL1":0.01329,"MedrxivClusteringP2P.v2":0.506028,"TRECCOVID":0.49821,"NepaliNewsClassification":0.948633,"ArmenianParaphrasePC":0.940327,"AmazonCounterfactualClassification":0.905254375,"KorHateSpeechMLClassification":0.09514,"BelebeleRetrieval":0.7266673138297872,"AlloprofReranking":0.78386,"NordicLangClassification":0.648667,"StatcanDialogueDatasetRetrieval":0.3203625,"RuBQReranking":0.71524,"STSES":0.808297,"WikiClusteringP2P.v2":0.2780467857142857,"FinParaSTS":0.1907005,"OpusparcusPC":0.9395580833333333,"CataloniaTweetClassification":0.491208,"GermanSTSBenchmark":0.8360315,"SwissJudgementClassification":0.5597636666666667,"MLQARetrieval":0.7238613265306123,"SwednClusteringP2P":0.50939,"DBpediaClassification":0.865967,"HagridRetrieval":0.98841,"TswanaNewsClassification":0.275975,"WikipediaRetrievalMultilingual":0.8824175,"ArguAna":0.59252,"MIRACLRetrievalHardNegatives":0.5962905555555555,"IsiZuluNewsClassification":0.263564,"DiaBlaBitextMining":0.862476,"LegalBenchCorporateLobbying":0.94758,"EstonianValenceClassification":0.428484,"SinhalaNewsClassification":0.685059,"SprintDuplicateQuestions":0.95459,"CovidRetrieval":0.77271,"IndicCrosslingualSTS":0.4005823333333334,"Core17InstructionRetrieval":0.017433,"RTE3":0.87096,"BibleNLPBitextMining":0.1657646231884058,"AfriSentiClassification":0.43493224999999996,"PAC":0.65097,"VoyageMMarcoReranking":0.72571,"GreekLegalCodeClassification":0.24367650000000002,"KurdishSentimentClassification":0.660896,"Robust04InstructionRetrieval":0.013568,"TERRa":0.584581,"indonli":0.53492,"SpartQA":0.14772,"SentimentAnalysisHindi":0.707036,"ItaCaseholdClassification":0.621719,"OdiaNewsClassification":0.750635,"MasakhaNEWSClassification":0.7661565,"FinancialPhrasebankClassification":0.851148,"ArXivHierarchicalClusteringP2P":0.651293,"CLSClusteringP2P.v2":0.721209,"CTKFactsNLI":0.759324,"JSICK":0.837306,"STSB":0.8309584999999999,"FloresBitextMining":0.6293016935912297,"MacedonianTweetSentimentClassification":0.522827,"TweetTopicSingleClassification":0.771648,"SIB200ClusteringS2S":0.7218474213197971,"HALClusteringS2S.v2":0.277037,"BulgarianStoreReviewSentimentClassfication":0.737912,"CzechProductReviewSentimentClassification":0.613086,"PawsXPairClassification":0.5988825,"FilipinoShopeeReviewsClassification":0.382715,"SemRel24STS":0.6472025,"BigPatentClustering.v2":0.413658,"ArXivHierarchicalClusteringS2S":0.632984,"AILAStatutes":0.31888,"MultiHateClassification":0.6256454545454546,"MasakhaNEWSClusteringS2S":0.4765284375,"DalajClassification":0.502365,"T2Reranking":0.67003,"WebLINXCandidatesReranking":0.13609583333333333,"KorSarcasmClassification":0.562256,"NusaX-senti":0.6733333333333333,"StackExchangeClustering.v2":0.74465,"Tatoeba":0.6557567678571428,"PolEmo2.0-OUT":0.655061,"RomaniBibleClustering":0.411835,"STS22.v2":0.6964535000000001,"PoemSentimentClassification":0.642651,"IndicGenBenchFloresBitextMining":0.8957494568965517},"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":0.6115172338325173,"meanTaskType":0.543074773298723,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7473321186868687,"Classification":0.6089934209001783,"Clustering":0.5116646908028917,"PairClassification":0.8139706212121212,"Reranking":0.6325405069444444,"Retrieval":0.624856579493401,"InstructionReranking":0.05607066666666668,"BitextMining":0.64403993759063,"MultilabelClassification":0.24820441739130433},"scoresByTask":{"ScalaClassification":0.5076905,"IndonesianIdClickbaitClassification":0.60871,"SICK-R":0.813676,"SCIDOCS":0.18429,"PunjabiNewsClassification":0.823567,"AlloProfClusteringS2S.v2":0.528155,"SlovakMovieReviewSentimentClassification":0.732666,"WikipediaRerankingMultilingual":0.8987818750000001,"NTREXBitextMining":0.7386705,"NusaParagraphEmotionClassification":0.4416295,"MassiveIntentClassification":0.6269916176470588,"STS13":0.864161,"CyrillicTurkicLangClassification":0.586279,"CSFDSKMovieReviewSentimentClassification":0.344922,"XNLI":0.8172844642857143,"CEDRClassification":0.527577,"WinoGrande":0.59402,"IN22GenBitextMining":0.74404295256917,"NusaTranslationBitextMining":0.6605157272727272,"TwitterURLCorpus":0.869003,"PpcPC":0.908572,"TwitterHjerneRetrieval":0.7204,"MalteseNewsClassification":0.330823,"STS12":0.793211,"LEMBPasskeyRetrieval":0.6075,"BUCC.v2":0.9874890000000001,"SwahiliNewsClassification":0.659521,"BiorxivClusteringP2P.v2":0.520956,"STS14":0.836713,"BornholmBitextMining":0.34633,"FaroeseSTS":0.65301,"WikiCitiesClustering":0.9202,"NusaXBitextMining":0.671074909090909,"STSBenchmark":0.881646,"StackOverflowQA":0.86473,"MultiEURLEXMultilabelClassification":0.04342608695652174,"NorwegianCourtsBitextMining":0.907895,"PlscClusteringP2P.v2":0.721375,"ToxicConversationsClassification":0.829346,"BrazilianToxicTweetsClassification":0.223438,"IndicLangClassification":0.466247,"News21InstructionRetrieval":0.114471,"GujaratiNewsClassification":0.827845,"SiswatiNewsClassification":0.57,"STS17":0.8441624545454545,"NollySentiBitextMining":0.412551,"STS15":0.893485,"TempReasonL1":0.00998,"MedrxivClusteringP2P.v2":0.441053,"TRECCOVID":0.8035,"NepaliNewsClassification":0.954785,"ArmenianParaphrasePC":0.926779,"AmazonCounterfactualClassification":0.842323625,"KorHateSpeechMLClassification":0.115758,"BelebeleRetrieval":0.7238063829787235,"AlloprofReranking":0.796881,"NordicLangClassification":0.6556,"StatcanDialogueDatasetRetrieval":0.4626625,"RuBQReranking":0.71259,"STSES":0.823051,"WikiClusteringP2P.v2":0.2702587857142857,"FinParaSTS":0.25224650000000004,"OpusparcusPC":0.9334728333333334,"CataloniaTweetClassification":0.5122935,"GermanSTSBenchmark":0.8466905,"SwissJudgementClassification":0.5773533333333334,"MLQARetrieval":0.7894633673469389,"SwednClusteringP2P":0.40037,"DBpediaClassification":0.942725,"HagridRetrieval":0.98919,"TswanaNewsClassification":0.311499,"WikipediaRetrievalMultilingual":0.899950625,"ArguAna":0.71535,"MIRACLRetrievalHardNegatives":0.6619755555555555,"IsiZuluNewsClassification":0.264229,"DiaBlaBitextMining":0.83925,"LegalBenchCorporateLobbying":0.95076,"EstonianValenceClassification":0.382885,"SinhalaNewsClassification":0.656689,"SprintDuplicateQuestions":0.970258,"CovidRetrieval":0.78934,"IndicCrosslingualSTS":0.4306836666666667,"Core17InstructionRetrieval":0.063145,"RTE3":0.89668325,"BibleNLPBitextMining":0.12678407548309178,"AfriSentiClassification":0.44472941666666665,"PAC":0.678656,"VoyageMMarcoReranking":0.609945,"GreekLegalCodeClassification":0.290308,"KurdishSentimentClassification":0.599748,"Robust04InstructionRetrieval":-0.009404,"TERRa":0.651458,"indonli":0.609519,"SpartQA":0.10676,"SentimentAnalysisHindi":0.65492,"ItaCaseholdClassification":0.70362,"OdiaNewsClassification":0.579467,"MasakhaNEWSClassification":0.749335,"FinancialPhrasebankClassification":0.864488,"ArXivHierarchicalClusteringP2P":0.63588,"CLSClusteringP2P.v2":0.414545,"CTKFactsNLI":0.7933655,"JSICK":0.843984,"STSB":0.8163670000000001,"FloresBitextMining":0.5534657320824882,"MacedonianTweetSentimentClassification":0.453117,"TweetTopicSingleClassification":0.730242,"SIB200ClusteringS2S":0.2653071421319797,"HALClusteringS2S.v2":0.293391,"BulgarianStoreReviewSentimentClassfication":0.712637,"CzechProductReviewSentimentClassification":0.586279,"PawsXPairClassification":0.5772817857142857,"FilipinoShopeeReviewsClassification":0.40524899999999997,"SemRel24STS":0.6522101666666666,"BigPatentClustering.v2":0.416445,"ArXivHierarchicalClusteringS2S":0.595855,"AILAStatutes":0.37374,"MultiHateClassification":0.6100272727272728,"MasakhaNEWSClusteringS2S":0.434606125,"DalajClassification":0.502815,"T2Reranking":0.675443,"WebLINXCandidatesReranking":0.10160216666666666,"KorSarcasmClassification":0.580957,"NusaX-senti":0.6980208333333334,"StackExchangeClustering.v2":0.909414,"Tatoeba":0.5135344732142857,"PolEmo2.0-OUT":0.627733,"RomaniBibleClustering":0.418824,"STS22.v2":0.7120166111111111,"PoemSentimentClassification":0.5885715,"IndicGenBenchFloresBitextMining":0.8709158189655173},"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":{"Classification":0.6001580892877129,"Clustering":0.5183621639236993,"PairClassification":0.8029147799467928,"Reranking":0.6419020486111111,"Retrieval":0.5944037095686383,"InstructionReranking":0.001581333333333335,"BitextMining":0.6999746720172968,"MultilabelClassification":0.24547988695652173},"scoresByTask":{"ScalaClassification":0.5095215,"IndonesianIdClickbaitClassification":0.582314,"SICK-R":0.8292294737327579,"SCIDOCS":0.19908,"PunjabiNewsClassification":0.571338,"AlloProfClusteringS2S.v2":0.578715,"SlovakMovieReviewSentimentClassification":0.845264,"WikipediaRerankingMultilingual":0.901746625,"NTREXBitextMining":0.787623619519833,"NusaParagraphEmotionClassification":0.4050217,"MassiveIntentClassification":0.6047275882352942,"STS13":0.8915419511870839,"CyrillicTurkicLangClassification":0.649902,"CSFDSKMovieReviewSentimentClassification":0.37041,"XNLI":0.7464536785714285,"CEDRClassification":0.517428,"WinoGrande":0.45645,"IN22GenBitextMining":0.6659641581027668,"NusaTranslationBitextMining":0.7684426363636363,"TwitterURLCorpus":0.8778613271895861,"PpcPC":0.923623,"TwitterHjerneRetrieval":0.76062,"MalteseNewsClassification":0.36626,"STS12":0.7946865215168464,"LEMBPasskeyRetrieval":0.2975,"BUCC.v2":0.9896095,"SwahiliNewsClassification":0.598877,"BiorxivClusteringP2P.v2":0.471772,"STS14":0.8493199878424691,"BornholmBitextMining":0.502438,"FaroeseSTS":0.793127,"WikiCitiesClustering":0.909769,"NusaXBitextMining":0.7892074545454545,"STSBenchmark":0.8899708463265337,"StackOverflowQA":0.92278,"MultiEURLEXMultilabelClassification":0.04557043478260869,"NorwegianCourtsBitextMining":0.929825,"PlscClusteringP2P.v2":0.739569,"ToxicConversationsClassification":0.6932940000000001,"BrazilianToxicTweetsClassification":0.198828,"IndicLangClassification":0.740193,"News21InstructionRetrieval":0.013774,"GujaratiNewsClassification":0.733839,"SiswatiNewsClassification":0.49,"NollySentiBitextMining":0.45940099999999995,"STS15":0.907407512744838,"TempReasonL1":0.03592,"MedrxivClusteringP2P.v2":0.431892,"TRECCOVID":0.87599,"NepaliNewsClassification":0.950293,"ArmenianParaphrasePC":0.923813,"AmazonCounterfactualClassification":0.738071125,"KorHateSpeechMLClassification":0.099313,"BelebeleRetrieval":0.6959641489361702,"AlloprofReranking":0.793174,"NordicLangClassification":0.688,"StatcanDialogueDatasetRetrieval":0.46637000000000006,"RuBQReranking":0.772412,"STSES":0.768954,"WikiClusteringP2P.v2":0.3091065,"FinParaSTS":0.19889800000000002,"OpusparcusPC":0.9496713333333333,"CataloniaTweetClassification":0.52929875,"GermanSTSBenchmark":0.864393,"SwissJudgementClassification":0.5502066666666666,"MLQARetrieval":0.693089081632653,"SwednClusteringP2P":0.4895615,"DBpediaClassification":0.916357,"HagridRetrieval":0.98822,"TswanaNewsClassification":0.407187,"WikipediaRetrievalMultilingual":0.909736875,"ArguAna":0.67171,"MIRACLRetrievalHardNegatives":0.5841066666666667,"IsiZuluNewsClassification":0.254255,"DiaBlaBitextMining":0.861938,"LegalBenchCorporateLobbying":0.94832,"EstonianValenceClassification":0.398533,"SinhalaNewsClassification":0.565967,"SprintDuplicateQuestions":0.9645919546060879,"CovidRetrieval":0.73067,"IndicCrosslingualSTS":0.22849208333333335,"Core17InstructionRetrieval":0.045502,"RTE3":0.882073,"BibleNLPBitextMining":0.16517113828502417,"AfriSentiClassification":0.4420196666666667,"PAC":0.62479,"VoyageMMarcoReranking":0.620577,"GreekLegalCodeClassification":0.2621095,"KurdishSentimentClassification":0.681429,"Robust04InstructionRetrieval":-0.054532,"TERRa":0.606486,"indonli":0.561773,"SpartQA":0.08807,"SentimentAnalysisHindi":0.575925,"ItaCaseholdClassification":0.713122,"OdiaNewsClassification":0.546177,"MasakhaNEWSClassification":0.7742108125,"FinancialPhrasebankClassification":0.756095,"ArXivHierarchicalClusteringP2P":0.655027,"CLSClusteringP2P.v2":0.434734,"CTKFactsNLI":0.8067225,"JSICK":0.837372,"STSB":0.8356275,"FloresBitextMining":0.6173848491741524,"MacedonianTweetSentimentClassification":0.520193,"TweetTopicSingleClassification":0.772593,"SIB200ClusteringS2S":0.3835486852791878,"HALClusteringS2S.v2":0.301156,"BulgarianStoreReviewSentimentClassfication":0.792308,"CzechProductReviewSentimentClassification":0.591699,"PawsXPairClassification":0.5889937857142857,"FilipinoShopeeReviewsClassification":0.3950195,"SemRel24STS":0.6690585833333333,"BigPatentClustering.v2":0.305361,"ArXivHierarchicalClusteringS2S":0.625545,"AILAStatutes":0.37467,"MultiHateClassification":0.6825363636363636,"MasakhaNEWSClusteringS2S":0.5342579375,"DalajClassification":0.504167,"T2Reranking":0.669732,"WebLINXCandidatesReranking":0.09377066666666667,"KorSarcasmClassification":0.575684,"NusaX-senti":0.6921666666666666,"StackExchangeClustering.v2":0.719022,"Tatoeba":0.7051660267857143,"PolEmo2.0-OUT":0.548583,"RomaniBibleClustering":0.404758,"STS22.v2":0.6888672777777778,"PoemSentimentClassification":0.5630999999999999,"IndicGenBenchFloresBitextMining":0.8574993534482759},"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":{"STS":0.7611342154356061,"Classification":0.6464310032546738,"Clustering":0.47843804643310367,"PairClassification":0.8113861125541125,"Reranking":0.6122087187499999,"Retrieval":0.5968372314409414,"InstructionReranking":0.040847,"BitextMining":0.7073296226793543,"MultilabelClassification":0.22800393913043476},"scoresByTask":{"ScalaClassification":0.51765125,"IndonesianIdClickbaitClassification":0.591506,"SICK-R":0.807759,"SCIDOCS":0.1796,"PunjabiNewsClassification":0.817834,"AlloProfClusteringS2S.v2":0.4676,"SlovakMovieReviewSentimentClassification":0.87666,"WikipediaRerankingMultilingual":0.8799783125,"NTREXBitextMining":0.8843521670146138,"NusaParagraphEmotionClassification":0.46888969999999996,"MassiveIntentClassification":0.6555781274509804,"STS13":0.887532,"CyrillicTurkicLangClassification":0.646826,"CSFDSKMovieReviewSentimentClassification":0.394531,"XNLI":0.7986480357142857,"CEDRClassification":0.500319,"WinoGrande":0.39211,"IN22GenBitextMining":0.7336125573122529,"NusaTranslationBitextMining":0.7085169090909091,"TwitterURLCorpus":0.870444,"PpcPC":0.927031,"TwitterHjerneRetrieval":0.91255,"MalteseNewsClassification":0.247714,"STS12":0.791855,"LEMBPasskeyRetrieval":0.69,"BUCC.v2":0.98641375,"SwahiliNewsClassification":0.606299,"BiorxivClusteringP2P.v2":0.377101,"STS14":0.834547,"BornholmBitextMining":0.416219,"FaroeseSTS":0.797079,"WikiCitiesClustering":0.807368,"NusaXBitextMining":0.7273942727272726,"STSBenchmark":0.876198,"StackOverflowQA":0.89823,"MultiEURLEXMultilabelClassification":0.04980869565217391,"NorwegianCourtsBitextMining":0.942251,"PlscClusteringP2P.v2":0.709733,"ToxicConversationsClassification":0.878223,"BrazilianToxicTweetsClassification":0.21665,"IndicLangClassification":0.435545,"News21InstructionRetrieval":0.064038,"GujaratiNewsClassification":0.882549,"SiswatiNewsClassification":0.61625,"STS17":0.8376853636363637,"NollySentiBitextMining":0.57342825,"STS15":0.886594,"TempReasonL1":0.01208,"MedrxivClusteringP2P.v2":0.365672,"TRECCOVID":0.81452,"NepaliNewsClassification":0.955078,"ArmenianParaphrasePC":0.964752,"AmazonCounterfactualClassification":0.761918,"KorHateSpeechMLClassification":0.125528,"BelebeleRetrieval":0.7992118085106383,"AlloprofReranking":0.760201,"NordicLangClassification":0.5358,"StatcanDialogueDatasetRetrieval":0.299595,"RuBQReranking":0.681847,"STSES":0.803606,"WikiClusteringP2P.v2":0.27904535714285716,"FinParaSTS":0.217643,"OpusparcusPC":0.9405691666666667,"CataloniaTweetClassification":0.50135425,"GermanSTSBenchmark":0.8449804999999999,"SwissJudgementClassification":0.5654703333333333,"MLQARetrieval":0.7105305102040816,"SwednClusteringP2P":0.3764875,"DBpediaClassification":0.874658,"HagridRetrieval":0.99128,"TswanaNewsClassification":0.489117,"WikipediaRetrievalMultilingual":0.888990625,"ArguAna":0.53814,"MIRACLRetrievalHardNegatives":0.5935222222222223,"IsiZuluNewsClassification":0.378191,"DiaBlaBitextMining":0.819803,"LegalBenchCorporateLobbying":0.9308,"EstonianValenceClassification":0.461736,"SinhalaNewsClassification":0.78042,"SprintDuplicateQuestions":0.968032,"CovidRetrieval":0.74239,"IndicCrosslingualSTS":0.535552,"Core17InstructionRetrieval":0.048146,"RTE3":0.8811327499999999,"BibleNLPBitextMining":0.14634451147342994,"AfriSentiClassification":0.4881641666666667,"PAC":0.668491,"VoyageMMarcoReranking":0.566448,"GreekLegalCodeClassification":0.462671,"KurdishSentimentClassification":0.848817,"Robust04InstructionRetrieval":0.010357,"TERRa":0.603852,"indonli":0.567678,"SpartQA":0.0005,"SentimentAnalysisHindi":0.698398,"ItaCaseholdClassification":0.611765,"OdiaNewsClassification":0.74182,"MasakhaNEWSClassification":0.8013298125,"FinancialPhrasebankClassification":0.84258,"ArXivHierarchicalClusteringP2P":0.56284,"CLSClusteringP2P.v2":0.380248,"CTKFactsNLI":0.8329885,"JSICK":0.833242,"STSB":0.8120575,"FloresBitextMining":0.6881764897131266,"MacedonianTweetSentimentClassification":0.680685,"TweetTopicSingleClassification":0.713881,"SIB200ClusteringS2S":0.36373038578680206,"HALClusteringS2S.v2":0.268754,"BulgarianStoreReviewSentimentClassfication":0.77967,"CzechProductReviewSentimentClassification":0.621533,"PawsXPairClassification":0.5701197857142857,"FilipinoShopeeReviewsClassification":0.41071749999999996,"SemRel24STS":0.70641425,"BigPatentClustering.v2":0.343731,"ArXivHierarchicalClusteringS2S":0.536635,"AILAStatutes":0.34902,"MultiHateClassification":0.615,"MasakhaNEWSClusteringS2S":0.4911215,"DalajClassification":0.504955,"T2Reranking":0.660377,"WebLINXCandidatesReranking":0.124401,"KorSarcasmClassification":0.582422,"NusaX-senti":0.72975,"StackExchangeClustering.v2":0.913658,"Tatoeba":0.7019111875,"PolEmo2.0-OUT":0.699798,"RomaniBibleClustering":0.411284,"STS22.v2":0.7054028333333333,"PoemSentimentClassification":0.602001,"IndicGenBenchFloresBitextMining":0.866862},"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":{"STS":0.7332796007418407,"Classification":0.6183024740334713,"Clustering":0.4974634266413336,"PairClassification":0.7994441093062641,"Reranking":0.6377875398491918,"Retrieval":0.5830671092003586,"InstructionReranking":0.034529763909089885,"BitextMining":0.7053172550560896,"MultilabelClassification":0.22773771161015946},"scoresByTask":{"ScalaClassification":0.52105712890625,"IndonesianIdClickbaitClassification":0.604390029477563,"SICK-R":0.8312714130007381,"SCIDOCS":0.24409,"PunjabiNewsClassification":0.602547770700637,"AlloProfClusteringS2S.v2":0.5641182129244591,"SlovakMovieReviewSentimentClassification":0.856787109375,"WikipediaRerankingMultilingual":0.9104981812169312,"NTREXBitextMining":0.7807461712905885,"NusaParagraphEmotionClassification":0.42938064080904337,"MassiveIntentClassification":0.638057444033619,"STS13":0.8504027564663601,"CyrillicTurkicLangClassification":0.648779296875,"CSFDSKMovieReviewSentimentClassification":0.413525390625,"XNLI":0.7504609614716912,"CEDRClassification":0.5067481402763019,"WinoGrande":0.53697,"IN22GenBitextMining":0.6703253832518722,"NusaTranslationBitextMining":0.7812577242664365,"TwitterURLCorpus":0.8742665970242987,"PpcPC":0.918706383851458,"TwitterHjerneRetrieval":0.43266,"MalteseNewsClassification":0.3023944275141489,"STS12":0.7733852878004329,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.9901506999178171,"SwahiliNewsClassification":0.630078125,"BiorxivClusteringP2P.v2":0.41895930454425534,"STS14":0.8290819992299016,"BornholmBitextMining":0.6117333333333334,"FaroeseSTS":0.7555661848971026,"WikiCitiesClustering":0.8366189968292854,"NusaXBitextMining":0.7543008523463068,"STSBenchmark":0.8564422693135456,"StackOverflowQA":0.93367,"MultiEURLEXMultilabelClassification":0.0486295652173913,"NorwegianCourtsBitextMining":0.9269005847953216,"PlscClusteringP2P.v2":0.7252547747581624,"ToxicConversationsClassification":0.688134765625,"BrazilianToxicTweetsClassification":0.1884765625,"IndicLangClassification":0.8157702676047076,"News21InstructionRetrieval":0.01215088943097819,"GujaratiNewsClassification":0.6985584218512899,"SiswatiNewsClassification":0.58875,"STS17":0.8438532687280109,"NollySentiBitextMining":0.44405770391912047,"STS15":0.8812508895141099,"TempReasonL1":0.07164,"MedrxivClusteringP2P.v2":0.36471142453724265,"TRECCOVID":0.74313,"NepaliNewsClassification":0.94365234375,"ArmenianParaphrasePC":0.9325395448596443,"AmazonCounterfactualClassification":0.7929651246204344,"KorHateSpeechMLClassification":0.09243986254295532,"BelebeleRetrieval":0.7170350531914894,"AlloprofReranking":0.7792616035817949,"NordicLangClassification":0.6936333333333333,"StatcanDialogueDatasetRetrieval":0.4575875,"RuBQReranking":0.7574687449941541,"STSES":0.7981620069387338,"WikiClusteringP2P.v2":0.298793956306957,"FinParaSTS":0.22715692027055356,"OpusparcusPC":0.9509266363723512,"CataloniaTweetClassification":0.5438375,"GermanSTSBenchmark":0.8173166793520105,"SwissJudgementClassification":0.5639577374702821,"MLQARetrieval":0.7274202040816328,"SwednClusteringP2P":0.5148660574260581,"DBpediaClassification":0.929296875,"HagridRetrieval":0.98673,"TswanaNewsClassification":0.4012320328542095,"WikipediaRetrievalMultilingual":0.917721875,"ArguAna":0.63171,"MIRACLRetrievalHardNegatives":0.5167933333333333,"IsiZuluNewsClassification":0.2824468085106383,"DiaBlaBitextMining":0.8783077193045878,"LegalBenchCorporateLobbying":0.94999,"EstonianValenceClassification":0.38679706601466995,"SinhalaNewsClassification":0.57998046875,"SprintDuplicateQuestions":0.9334758693133184,"CovidRetrieval":0.73401,"IndicCrosslingualSTS":0.27245619705709045,"Core17InstructionRetrieval":0.0670487257319918,"RTE3":0.8911072722656621,"BibleNLPBitextMining":0.15703429559492083,"AfriSentiClassification":0.4507858861214175,"PAC":0.6705183898059658,"VoyageMMarcoReranking":0.6183745237945266,"GreekLegalCodeClassification":0.273876953125,"KurdishSentimentClassification":0.6719677906391545,"Robust04InstructionRetrieval":0.024389676564299665,"TERRa":0.5893383738329443,"indonli":0.5552071327419831,"SpartQA":0.09355,"SentimentAnalysisHindi":0.5714425391589478,"ItaCaseholdClassification":0.7352941176470589,"OdiaNewsClassification":0.5664906429095378,"MasakhaNEWSClassification":0.7504496865922062,"FinancialPhrasebankClassification":0.8435512367491167,"ArXivHierarchicalClusteringP2P":0.5976004587290107,"CLSClusteringP2P.v2":0.42753052986595896,"CTKFactsNLI":0.8259920995368684,"JSICK":0.8563182770798646,"STSB":0.7903608450123514,"FloresBitextMining":0.6109930285907467,"MacedonianTweetSentimentClassification":0.5447761194029851,"TweetTopicSingleClassification":0.7502658003544005,"SIB200ClusteringS2S":0.36072519770658396,"HALClusteringS2S.v2":0.2976084253019843,"BulgarianStoreReviewSentimentClassfication":0.7758241758241757,"CzechProductReviewSentimentClassification":0.62216796875,"PawsXPairClassification":0.5718643310986854,"FilipinoShopeeReviewsClassification":0.4171630859375,"SemRel24STS":0.6556195908195133,"BigPatentClustering.v2":0.3101061795309582,"ArXivHierarchicalClusteringS2S":0.6228324344758562,"AILAStatutes":0.418,"MultiHateClassification":0.7353727272727273,"MasakhaNEWSClusteringS2S":0.542806919405131,"DalajClassification":0.5063063063063062,"T2Reranking":0.6564118643982063,"WebLINXCandidatesReranking":0.10471032110953798,"KorSarcasmClassification":0.597412109375,"NusaX-senti":0.7078958333333333,"StackExchangeClustering.v2":0.6813461467763409,"Tatoeba":0.7207802431124207,"PolEmo2.0-OUT":0.6255060728744939,"RomaniBibleClustering":0.39553580714309355,"STS22.v2":0.6938290263891328,"PoemSentimentClassification":0.51632326007326,"IndicGenBenchFloresBitextMining":0.8425365760056918},"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":0.6048772792186462,"meanTaskType":0.5331074022184246,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7315994488170926,"Classification":0.6154945577526977,"Clustering":0.5016081079734814,"PairClassification":0.7973249475570392,"Reranking":0.6261169140341616,"Retrieval":0.5753712292356856,"InstructionReranking":0.02441566666666667,"BitextMining":0.6817441140509695,"MultilabelClassification":0.2442916338780267},"scoresByTask":{"ScalaClassification":0.51417236328125,"IndonesianIdClickbaitClassification":0.6053829876003729,"SICK-R":0.8056596360704134,"SCIDOCS":0.23248,"PunjabiNewsClassification":0.60828025477707,"AlloProfClusteringS2S.v2":0.5927976109387059,"SlovakMovieReviewSentimentClassification":0.807080078125,"WikipediaRerankingMultilingual":0.8957123346560847,"NTREXBitextMining":0.7579458659735226,"NusaParagraphEmotionClassification":0.4134654013621842,"MassiveIntentClassification":0.6364562002886288,"STS13":0.8584537862684345,"CyrillicTurkicLangClassification":0.657958984375,"CSFDSKMovieReviewSentimentClassification":0.410986328125,"XNLI":0.752711712477524,"CEDRClassification":0.5078108395324124,"WinoGrande":0.37968,"IN22GenBitextMining":0.6747859425081396,"NusaTranslationBitextMining":0.7104237614808239,"TwitterURLCorpus":0.8651045713469981,"PpcPC":0.9228721630012803,"TwitterHjerneRetrieval":0.79321,"MalteseNewsClassification":0.3353069220722682,"STS12":0.7369103876926383,"LEMBPasskeyRetrieval":0.3775,"BUCC.v2":0.9899570655024637,"SwahiliNewsClassification":0.637109375,"BiorxivClusteringP2P.v2":0.446450727199578,"STS14":0.8204633406211417,"BornholmBitextMining":0.4912761904761904,"FaroeseSTS":0.7517412143009663,"WikiCitiesClustering":0.8494429480083369,"NusaXBitextMining":0.7094830574898601,"STSBenchmark":0.8746088823673782,"StackOverflowQA":0.86211,"MultiEURLEXMultilabelClassification":0.049573043478260866,"NorwegianCourtsBitextMining":0.9371345029239766,"PlscClusteringP2P.v2":0.7296674316108865,"ToxicConversationsClassification":0.693505859375,"BrazilianToxicTweetsClassification":0.21826171875,"IndicLangClassification":0.8092576763758302,"News21InstructionRetrieval":0.003758,"GujaratiNewsClassification":0.7830045523520485,"SiswatiNewsClassification":0.57875,"STS17":0.8592753995349883,"NollySentiBitextMining":0.3972705063349237,"STS15":0.8881340550511095,"TempReasonL1":0.03635,"MedrxivClusteringP2P.v2":0.40283075404998303,"TRECCOVID":0.81357,"NepaliNewsClassification":0.9619140625,"ArmenianParaphrasePC":0.9356474709832032,"AmazonCounterfactualClassification":0.7650539503502856,"KorHateSpeechMLClassification":0.11050564555719196,"BelebeleRetrieval":0.7057933776595745,"AlloprofReranking":0.7812358280850987,"NordicLangClassification":0.7319666666666668,"StatcanDialogueDatasetRetrieval":0.33925,"RuBQReranking":0.7478543858273224,"STSES":0.8031875222821119,"WikiClusteringP2P.v2":0.2948246378693038,"FinParaSTS":0.20079960731368923,"OpusparcusPC":0.9559659475693941,"CataloniaTweetClassification":0.5356440472810237,"GermanSTSBenchmark":0.845956147247001,"SwissJudgementClassification":0.5632928757440476,"MLQARetrieval":0.7114567346938775,"SwednClusteringP2P":0.4040531899431452,"DBpediaClassification":0.946728515625,"HagridRetrieval":0.98721,"TswanaNewsClassification":0.39507186858316223,"WikipediaRetrievalMultilingual":0.899813125,"ArguAna":0.59539,"MIRACLRetrievalHardNegatives":0.48838888888888893,"IsiZuluNewsClassification":0.26369680851063826,"DiaBlaBitextMining":0.8815242632570399,"LegalBenchCorporateLobbying":0.94312,"EstonianValenceClassification":0.4039119804400978,"SinhalaNewsClassification":0.61796875,"SprintDuplicateQuestions":0.9197328651896981,"CovidRetrieval":0.71435,"IndicCrosslingualSTS":0.2720565589380371,"Core17InstructionRetrieval":0.061511,"RTE3":0.88368571258487,"BibleNLPBitextMining":0.13915500546280568,"AfriSentiClassification":0.442001978091279,"PAC":0.6669562699102229,"VoyageMMarcoReranking":0.572151290908269,"GreekLegalCodeClassification":0.28486328125000004,"KurdishSentimentClassification":0.6929542023150479,"Robust04InstructionRetrieval":0.007978,"TERRa":0.582072604427126,"indonli":0.5510282995247396,"SpartQA":0.08657,"SentimentAnalysisHindi":0.5622358006373366,"ItaCaseholdClassification":0.751131221719457,"OdiaNewsClassification":0.5856284944863729,"MasakhaNEWSClassification":0.7719695826365901,"FinancialPhrasebankClassification":0.8170494699646644,"ArXivHierarchicalClusteringP2P":0.5986256139428866,"CLSClusteringP2P.v2":0.4211841225675311,"CTKFactsNLI":0.8217309967794337,"JSICK":0.8156952164325557,"STSB":0.8082807037325123,"FloresBitextMining":0.5780816294638521,"MacedonianTweetSentimentClassification":0.5622475856014046,"TweetTopicSingleClassification":0.7580626107501477,"SIB200ClusteringS2S":0.4043809536314839,"HALClusteringS2S.v2":0.30876966019822577,"BulgarianStoreReviewSentimentClassfication":0.7247252747252746,"CzechProductReviewSentimentClassification":0.591650390625,"PawsXPairClassification":0.5800220792431646,"FilipinoShopeeReviewsClassification":0.410986328125,"SemRel24STS":0.6635383449093746,"BigPatentClustering.v2":0.3786152284690122,"ArXivHierarchicalClusteringS2S":0.5721927960247923,"AILAStatutes":0.39044,"MultiHateClassification":0.7365090909090909,"MasakhaNEWSClusteringS2S":0.5375969255403582,"DalajClassification":0.5086711711711712,"T2Reranking":0.6531220227771662,"WebLINXCandidatesReranking":0.10662562195102826,"KorSarcasmClassification":0.587744140625,"NusaX-senti":0.6652708333333334,"StackExchangeClustering.v2":0.692228133991667,"Tatoeba":0.7524183704932332,"PolEmo2.0-OUT":0.48441295546558705,"RomaniBibleClustering":0.3920689935898069,"STS22.v2":0.7008303783111294,"PoemSentimentClassification":0.5205357142857143,"IndicGenBenchFloresBitextMining":0.8432173212957706},"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":0.6003096039902289,"meanTaskType":0.5284187395550346,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7402160002045006,"Classification":0.603142953313603,"Clustering":0.5056677488407624,"PairClassification":0.8112221072702099,"Reranking":0.6381918343246639,"Retrieval":0.5575010117137871,"InstructionReranking":-0.00616534421018271,"BitextMining":0.6840241323353866,"MultilabelClassification":0.22196821220257984},"scoresByTask":{"ScalaClassification":0.51070556640625,"IndonesianIdClickbaitClassification":0.5791527819311136,"SICK-R":0.8264168405010995,"SCIDOCS":0.16315,"PunjabiNewsClassification":0.5573248407643312,"AlloProfClusteringS2S.v2":0.571119995801465,"SlovakMovieReviewSentimentClassification":0.851416015625,"WikipediaRerankingMultilingual":0.9025595072751322,"NTREXBitextMining":0.7882254775515363,"NusaParagraphEmotionClassification":0.3972819872294248,"MassiveIntentClassification":0.5995188404732258,"STS13":0.8842693188284634,"CyrillicTurkicLangClassification":0.662890625,"CSFDSKMovieReviewSentimentClassification":0.375634765625,"XNLI":0.7869561736986618,"CEDRClassification":0.5194473963868226,"WinoGrande":0.39514,"IN22GenBitextMining":0.6624329979557673,"NusaTranslationBitextMining":0.7858169271193841,"TwitterURLCorpus":0.8778798304575807,"PpcPC":0.9288061041237821,"TwitterHjerneRetrieval":0.33405,"MalteseNewsClassification":0.25768393556813235,"STS12":0.7965304787099163,"LEMBPasskeyRetrieval":0.3075,"BUCC.v2":0.988904421803621,"SwahiliNewsClassification":0.58271484375,"BiorxivClusteringP2P.v2":0.4243994588820838,"STS14":0.8453916226397308,"BornholmBitextMining":0.5724333333333332,"FaroeseSTS":0.7831946771080547,"WikiCitiesClustering":0.8903355245373612,"NusaXBitextMining":0.7895774622506679,"STSBenchmark":0.8859956806069065,"StackOverflowQA":0.91018,"MultiEURLEXMultilabelClassification":0.051606956521739134,"NorwegianCourtsBitextMining":0.9312865497076023,"PlscClusteringP2P.v2":0.7456474020582282,"ToxicConversationsClassification":0.71748046875,"BrazilianToxicTweetsClassification":0.19033203125,"IndicLangClassification":0.7451147346965612,"News21InstructionRetrieval":0.007424044941545943,"GujaratiNewsClassification":0.7308801213960547,"SiswatiNewsClassification":0.43125,"STS17":0.8517116133130891,"NollySentiBitextMining":0.4662746749043283,"STS15":0.9042497351106816,"TempReasonL1":0.03595,"MedrxivClusteringP2P.v2":0.39047461828238117,"TRECCOVID":0.87034,"NepaliNewsClassification":0.9498046875,"ArmenianParaphrasePC":0.9209217221470107,"AmazonCounterfactualClassification":0.7355583851060097,"KorHateSpeechMLClassification":0.09077074128620519,"BelebeleRetrieval":0.6828947074468086,"AlloprofReranking":0.7831766438517511,"NordicLangClassification":0.6913333333333332,"StatcanDialogueDatasetRetrieval":0.44826,"RuBQReranking":0.7632050567901123,"STSES":0.7654646568695226,"WikiClusteringP2P.v2":0.31041842947604564,"FinParaSTS":0.2057879181482765,"OpusparcusPC":0.9532411071027078,"CataloniaTweetClassification":0.5264624999999999,"GermanSTSBenchmark":0.8566991448217436,"SwissJudgementClassification":0.5565359690090873,"MLQARetrieval":0.6706868367346939,"SwednClusteringP2P":0.5055558993934491,"DBpediaClassification":0.90859375,"HagridRetrieval":0.98795,"TswanaNewsClassification":0.4059548254620123,"WikipediaRetrievalMultilingual":0.909265,"ArguAna":0.61653,"MIRACLRetrievalHardNegatives":0.5802816666666666,"IsiZuluNewsClassification":0.25026595744680846,"DiaBlaBitextMining":0.5735740331599325,"LegalBenchCorporateLobbying":0.94603,"EstonianValenceClassification":0.4229828850855745,"SinhalaNewsClassification":0.56279296875,"SprintDuplicateQuestions":0.9586143310549287,"CovidRetrieval":0.73111,"IndicCrosslingualSTS":0.22981297058285943,"Core17InstructionRetrieval":0.03755971498044373,"RTE3":0.8944188789556573,"BibleNLPBitextMining":0.15871068617513198,"AfriSentiClassification":0.44476334504656,"PAC":0.6226469736461049,"VoyageMMarcoReranking":0.6161925183883836,"GreekLegalCodeClassification":0.2230224609375,"KurdishSentimentClassification":0.690689481630599,"Robust04InstructionRetrieval":-0.0634797925525378,"TERRa":0.6081463737650523,"indonli":0.5799422834513732,"SpartQA":0.10035,"SentimentAnalysisHindi":0.6213235665105454,"ItaCaseholdClassification":0.6787330316742082,"OdiaNewsClassification":0.5615991706834288,"MasakhaNEWSClassification":0.7720843925808814,"FinancialPhrasebankClassification":0.7919169611307422,"ArXivHierarchicalClusteringP2P":0.6528373499913129,"CLSClusteringP2P.v2":0.43579798656323565,"CTKFactsNLI":0.8326076063030767,"JSICK":0.8354828172469371,"STSB":0.8328891491867841,"FloresBitextMining":0.6171733102240896,"MacedonianTweetSentimentClassification":0.5381913959613696,"TweetTopicSingleClassification":0.7660366213821618,"SIB200ClusteringS2S":0.3874355629191053,"HALClusteringS2S.v2":0.2905991221911424,"BulgarianStoreReviewSentimentClassfication":0.7928571428571429,"CzechProductReviewSentimentClassification":0.598095703125,"PawsXPairClassification":0.5819087689124792,"FilipinoShopeeReviewsClassification":0.40537109375,"SemRel24STS":0.6637408186274176,"BigPatentClustering.v2":0.2914035497773531,"ArXivHierarchicalClusteringS2S":0.612781226957918,"AILAStatutes":0.34535,"MultiHateClassification":0.6914818181818182,"MasakhaNEWSClusteringS2S":0.5455790207829309,"DalajClassification":0.5092342342342342,"T2Reranking":0.6689539154997776,"WebLINXCandidatesReranking":0.09506336414282647,"KorSarcasmClassification":0.57021484375,"NusaX-senti":0.7089166666666666,"StackExchangeClustering.v2":0.6432871212725468,"Tatoeba":0.7008043679895427,"PolEmo2.0-OUT":0.6054655870445343,"RomaniBibleClustering":0.39301171256563905,"STS22.v2":0.6758185609705276,"PoemSentimentClassification":0.5908516483516484,"IndicGenBenchFloresBitextMining":0.857099478185088},"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":{"Classification":0.629480556057497,"Clustering":0.4695716677902919,"PairClassification":0.798814042916828,"Reranking":0.6406770381944443,"Retrieval":0.5921862292340104,"InstructionReranking":-0.018948666666666666,"BitextMining":0.7051161079644473,"MultilabelClassification":0.22739629565217392},"scoresByTask":{"ScalaClassification":0.50861825,"IndonesianIdClickbaitClassification":0.596016,"SICK-R":0.8218202534761809,"SCIDOCS":0.19339000000000003,"PunjabiNewsClassification":0.820382,"AlloProfClusteringS2S.v2":0.444215,"SlovakMovieReviewSentimentClassification":0.850732,"WikipediaRerankingMultilingual":0.8999060625,"NTREXBitextMining":0.8728835579331942,"NusaParagraphEmotionClassification":0.4489529,"MassiveIntentClassification":0.6338870294117647,"STS13":0.8515620774806095,"CyrillicTurkicLangClassification":0.45083,"CSFDSKMovieReviewSentimentClassification":0.408252,"XNLI":0.7624010357142856,"CEDRClassification":0.456695,"WinoGrande":0.58442,"IN22GenBitextMining":0.7582516185770751,"NusaTranslationBitextMining":0.6476891818181818,"TwitterURLCorpus":0.8648560260020556,"PpcPC":0.931833,"TwitterHjerneRetrieval":0.76754,"MalteseNewsClassification":0.300958,"STS12":0.7762042143066208,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.98562325,"SwahiliNewsClassification":0.611084,"BiorxivClusteringP2P.v2":0.428922,"STS14":0.8001967438481185,"BornholmBitextMining":0.358124,"FaroeseSTS":0.759531,"WikiCitiesClustering":0.824805,"NusaXBitextMining":0.7259490000000001,"STSBenchmark":0.8878683817318573,"StackOverflowQA":0.89415,"MultiEURLEXMultilabelClassification":0.052743478260869565,"NorwegianCourtsBitextMining":0.928655,"PlscClusteringP2P.v2":0.720522,"ToxicConversationsClassification":0.7119979999999999,"BrazilianToxicTweetsClassification":0.213281,"IndicLangClassification":0.225334,"News21InstructionRetrieval":0.008293,"GujaratiNewsClassification":0.827011,"SiswatiNewsClassification":0.6425,"NollySentiBitextMining":0.5458445000000001,"STS15":0.8892297656560553,"TempReasonL1":0.00909,"MedrxivClusteringP2P.v2":0.390101,"TRECCOVID":0.83372,"NepaliNewsClassification":0.940137,"ArmenianParaphrasePC":0.952877,"AmazonCounterfactualClassification":0.75382025,"KorHateSpeechMLClassification":0.113304,"BelebeleRetrieval":0.8108666755319149,"AlloprofReranking":0.754051,"NordicLangClassification":0.7873,"StatcanDialogueDatasetRetrieval":0.2420775,"RuBQReranking":0.752585,"STSES":0.787576,"WikiClusteringP2P.v2":0.27932799999999997,"FinParaSTS":0.2823905,"OpusparcusPC":0.9514209166666667,"CataloniaTweetClassification":0.508065,"GermanSTSBenchmark":0.825937,"SwissJudgementClassification":0.5466766666666666,"MLQARetrieval":0.7607983673469387,"SwednClusteringP2P":0.416635,"DBpediaClassification":0.904443,"HagridRetrieval":0.98841,"TswanaNewsClassification":0.49692,"WikipediaRetrievalMultilingual":0.90871125,"ArguAna":0.55105,"MIRACLRetrievalHardNegatives":0.6803383333333334,"IsiZuluNewsClassification":0.34109,"DiaBlaBitextMining":0.8309746945574851,"LegalBenchCorporateLobbying":0.93758,"EstonianValenceClassification":0.442298,"SinhalaNewsClassification":0.727148,"SprintDuplicateQuestions":0.9679160651306724,"CovidRetrieval":0.77121,"IndicCrosslingualSTS":0.46727516666666663,"Core17InstructionRetrieval":0.002851,"RTE3":0.882536,"BibleNLPBitextMining":0.14452701630434783,"AfriSentiClassification":0.47868358333333333,"PAC":0.682942,"VoyageMMarcoReranking":0.678867,"GreekLegalCodeClassification":0.43464349999999996,"KurdishSentimentClassification":0.801107,"Robust04InstructionRetrieval":-0.06799,"TERRa":0.586097,"indonli":0.515903,"SpartQA":0.04658,"SentimentAnalysisHindi":0.667452,"ItaCaseholdClassification":0.679638,"OdiaNewsClassification":0.826985,"MasakhaNEWSClassification":0.809224125,"FinancialPhrasebankClassification":0.83856,"ArXivHierarchicalClusteringP2P":0.596227,"CLSClusteringP2P.v2":0.403376,"CTKFactsNLI":0.800896,"JSICK":0.771914,"STSB":0.8141585,"FloresBitextMining":0.7642027161209312,"MacedonianTweetSentimentClassification":0.653995,"TweetTopicSingleClassification":0.717661,"SIB200ClusteringS2S":0.30028630964467,"HALClusteringS2S.v2":0.28687,"BulgarianStoreReviewSentimentClassfication":0.729121,"CzechProductReviewSentimentClassification":0.607568,"PawsXPairClassification":0.5702184285714286,"FilipinoShopeeReviewsClassification":0.3766115,"SemRel24STS":0.638431,"BigPatentClustering.v2":0.411753,"ArXivHierarchicalClusteringS2S":0.574664,"AILAStatutes":0.29692,"MultiHateClassification":0.6519272727272727,"MasakhaNEWSClusteringS2S":0.444601375,"DalajClassification":0.500113,"T2Reranking":0.678045,"WebLINXCandidatesReranking":0.08060816666666666,"KorSarcasmClassification":0.56543,"NusaX-senti":0.7152708333333333,"StackExchangeClustering.v2":0.590993,"Tatoeba":0.7245546785714286,"PolEmo2.0-OUT":0.62996,"RomaniBibleClustering":0.399848,"STS22.v2":0.6935949444444445,"PoemSentimentClassification":0.5172760000000001,"IndicGenBenchFloresBitextMining":0.8792301896551724},"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":{"PairClassification":0.8158277088834601,"Reranking":0.6258029008562543,"Retrieval":0.607844085098677,"InstructionReranking":0.007441333333333332,"BitextMining":0.6250869715941743,"MultilabelClassification":0.24023933413112789},"scoresByTask":{"ScalaClassification":0.503674,"IndonesianIdClickbaitClassification":0.604454,"SICK-R":0.8049030614009419,"SCIDOCS":0.24976000000000004,"PunjabiNewsClassification":0.65414,"AlloProfClusteringS2S.v2":0.497099,"SlovakMovieReviewSentimentClassification":0.712207,"WikipediaRerankingMultilingual":0.8731201875,"NTREXBitextMining":0.6791727327766179,"NusaParagraphEmotionClassification":0.4258642,"MassiveIntentClassification":0.5769371764705882,"STS13":0.8779454220555091,"CyrillicTurkicLangClassification":0.417188,"CSFDSKMovieReviewSentimentClassification":0.333887,"XNLI":0.8044733928571429,"CEDRClassification":0.5298087141339002,"WinoGrande":0.65611,"IN22GenBitextMining":0.5972967391304348,"NusaTranslationBitextMining":0.6866452727272727,"TwitterURLCorpus":0.8758146137353202,"PpcPC":0.9147194213011349,"TwitterHjerneRetrieval":0.67008,"MalteseNewsClassification":0.337875,"STS12":0.7725370084896513,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.98802225,"SwahiliNewsClassification":0.599365,"BiorxivClusteringP2P.v2":0.458146,"STS14":0.8291015471820322,"BornholmBitextMining":0.397881,"FaroeseSTS":0.684519,"WikiCitiesClustering":0.813248,"NusaXBitextMining":0.6855387272727272,"STSBenchmark":0.8637572865993327,"StackOverflowQA":0.90274,"MultiEURLEXMultilabelClassification":0.04378695652173913,"NorwegianCourtsBitextMining":0.938596,"PlscClusteringP2P.v2":0.724581,"ToxicConversationsClassification":0.8266099999999998,"BrazilianToxicTweetsClassification":0.21167,"IndicLangClassification":0.3816,"News21InstructionRetrieval":0.029466,"GujaratiNewsClassification":0.762215,"SiswatiNewsClassification":0.5225,"NollySentiBitextMining":0.36048175,"STS15":0.8845414278092397,"TempReasonL1":0.01326,"MedrxivClusteringP2P.v2":0.430505,"TRECCOVID":0.85382,"NepaliNewsClassification":0.941895,"ArmenianParaphrasePC":0.915907,"AmazonCounterfactualClassification":0.819994375,"KorHateSpeechMLClassification":0.078056,"BelebeleRetrieval":0.6658554521276596,"AlloprofReranking":0.7348697375332002,"NordicLangClassification":0.610767,"StatcanDialogueDatasetRetrieval":0.33253,"RuBQReranking":0.7387568855586618,"STSES":0.765209,"WikiClusteringP2P.v2":0.30012999999999995,"FinParaSTS":0.1750045,"OpusparcusPC":0.9456908333333334,"CataloniaTweetClassification":0.500191,"GermanSTSBenchmark":0.812812,"SwissJudgementClassification":0.5412786666666666,"MLQARetrieval":0.7289005102040816,"SwednClusteringP2P":0.4865125,"DBpediaClassification":0.94624,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.319713,"WikipediaRetrievalMultilingual":0.877718125,"ArguAna":0.6972,"MIRACLRetrievalHardNegatives":0.6322794444444445,"IsiZuluNewsClassification":0.250798,"DiaBlaBitextMining":0.855479,"LegalBenchCorporateLobbying":0.94843,"EstonianValenceClassification":0.389731,"SinhalaNewsClassification":0.503369,"SprintDuplicateQuestions":0.953203137438653,"CovidRetrieval":0.80794,"IndicCrosslingualSTS":0.22661225,"Core17InstructionRetrieval":0.028398,"RTE3":0.8899837500000001,"BibleNLPBitextMining":0.10921005736714975,"AfriSentiClassification":0.4086470833333333,"PAC":0.6904141326382855,"VoyageMMarcoReranking":0.652151,"GreekLegalCodeClassification":0.178833,"KurdishSentimentClassification":0.579467,"Robust04InstructionRetrieval":-0.03554,"TERRa":0.60546979190962,"indonli":0.595192,"SpartQA":0.18627,"SentimentAnalysisHindi":0.600938,"ItaCaseholdClassification":0.700905,"OdiaNewsClassification":0.572839,"FinancialPhrasebankClassification":0.806007,"ArXivHierarchicalClusteringP2P":0.647434,"CLSClusteringP2P.v2":0.456336,"CTKFactsNLI":0.8133429999999999,"JSICK":0.75413,"FloresBitextMining":0.5109261066840529,"MacedonianTweetSentimentClassification":0.525549,"TweetTopicSingleClassification":0.766273,"SIB200ClusteringS2S":0.32698268020304566,"HALClusteringS2S.v2":0.298521,"BulgarianStoreReviewSentimentClassfication":0.682967,"CzechProductReviewSentimentClassification":0.551562,"PawsXPairClassification":0.6603078571428572,"FilipinoShopeeReviewsClassification":0.355713,"SemRel24STS":0.61532025,"BigPatentClustering.v2":0.438761,"ArXivHierarchicalClusteringS2S":0.63218,"AILAStatutes":0.34886,"MultiHateClassification":0.6572363636363636,"DalajClassification":0.502815,"T2Reranking":0.6743289278789972,"WebLINXCandidatesReranking":0.08159066666666666,"KorSarcasmClassification":0.562549,"NusaX-senti":0.6742708333333334,"StackExchangeClustering.v2":0.693255,"Tatoeba":0.5398598482142857,"PolEmo2.0-OUT":0.6840080971659919,"RomaniBibleClustering":0.407045,"STS22.v2":0.6939835555555556,"PoemSentimentClassification":0.578544,"IndicGenBenchFloresBitextMining":0.777021146551724},"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":{"PairClassification":0.7983029823081506,"Reranking":0.6142277256650982,"Retrieval":0.5510419689026124,"InstructionReranking":-0.030383000000000004,"BitextMining":0.735531713165128,"MultilabelClassification":0.22355873913043478},"scoresByTask":{"ScalaClassification":0.50267325,"IndonesianIdClickbaitClassification":0.582447,"SICK-R":0.810146278511025,"SCIDOCS":0.18829,"PunjabiNewsClassification":0.80828,"AlloProfClusteringS2S.v2":0.52845,"SlovakMovieReviewSentimentClassification":0.751221,"WikipediaRerankingMultilingual":0.877276,"NTREXBitextMining":0.9039577296450939,"NusaParagraphEmotionClassification":0.4651373,"MassiveIntentClassification":0.6254441274509804,"STS13":0.8936590409791387,"CyrillicTurkicLangClassification":0.753418,"CSFDSKMovieReviewSentimentClassification":0.374512,"XNLI":0.7497024999999999,"CEDRClassification":0.466684,"WinoGrande":0.37977,"IN22GenBitextMining":0.7634322391304348,"NusaTranslationBitextMining":0.736593090909091,"TwitterURLCorpus":0.8719162847931056,"PpcPC":0.917714,"TwitterHjerneRetrieval":0.73114,"MalteseNewsClassification":0.289073,"STS12":0.8552036823639512,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.9871417499999999,"SwahiliNewsClassification":0.60083,"BiorxivClusteringP2P.v2":0.394234,"STS14":0.9160879188296314,"BornholmBitextMining":0.362332,"FaroeseSTS":0.790172,"WikiCitiesClustering":0.746969,"NusaXBitextMining":0.7697249090909092,"STSBenchmark":0.8928237056532354,"StackOverflowQA":0.89398,"MultiEURLEXMultilabelClassification":0.04690869565217391,"NorwegianCourtsBitextMining":0.934211,"PlscClusteringP2P.v2":0.703663,"ToxicConversationsClassification":0.6556640625,"BrazilianToxicTweetsClassification":0.207715,"IndicLangClassification":0.797409,"News21InstructionRetrieval":-0.006267,"GujaratiNewsClassification":0.800152,"SiswatiNewsClassification":0.60875,"NollySentiBitextMining":0.6451125,"STS15":0.9202450415044239,"TempReasonL1":0.01111,"MedrxivClusteringP2P.v2":0.370089,"TRECCOVID":0.5292,"NepaliNewsClassification":0.950244,"ArmenianParaphrasePC":0.960543,"AmazonCounterfactualClassification":0.7658533750000001,"KorHateSpeechMLClassification":0.107413,"BelebeleRetrieval":0.8055823138297873,"AlloprofReranking":0.7363055206572554,"NordicLangClassification":0.717767,"StatcanDialogueDatasetRetrieval":0.33481,"RuBQReranking":0.722633,"STSES":0.803175,"WikiClusteringP2P.v2":0.28258542857142854,"FinParaSTS":0.275016,"OpusparcusPC":0.9570077499999999,"CataloniaTweetClassification":0.5021545,"GermanSTSBenchmark":0.873049,"SwissJudgementClassification":0.550817,"MLQARetrieval":0.7396082653061224,"SwednClusteringP2P":0.367685,"DBpediaClassification":0.915332,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.468172,"WikipediaRetrievalMultilingual":0.88673875,"ArguAna":0.55888,"MIRACLRetrievalHardNegatives":0.5117761111111112,"IsiZuluNewsClassification":0.355053,"DiaBlaBitextMining":0.829207,"LegalBenchCorporateLobbying":0.93074,"EstonianValenceClassification":0.41956,"SinhalaNewsClassification":0.733154,"SprintDuplicateQuestions":0.9261210920251232,"CovidRetrieval":0.73348,"IndicCrosslingualSTS":0.45948283333333334,"Core17InstructionRetrieval":0.001298,"RTE3":0.88326675,"BibleNLPBitextMining":0.1806243786231884,"AfriSentiClassification":0.46070174999999997,"PAC":0.674776,"VoyageMMarcoReranking":0.594133,"GreekLegalCodeClassification":0.3895265,"KurdishSentimentClassification":0.780272,"Robust04InstructionRetrieval":-0.08618,"TERRa":0.57944,"indonli":0.545103,"SpartQA":0.06009,"SentimentAnalysisHindi":0.599602,"ItaCaseholdClassification":0.684163,"OdiaNewsClassification":0.815851,"FinancialPhrasebankClassification":0.827694,"ArXivHierarchicalClusteringP2P":0.57353,"CLSClusteringP2P.v2":0.396442,"CTKFactsNLI":0.8022195,"JSICK":0.834595,"STSB":0.8493280000000001,"FloresBitextMining":0.7991609412972085,"MacedonianTweetSentimentClassification":0.614838,"TweetTopicSingleClassification":0.720201,"SIB200ClusteringS2S":0.35061096446700507,"HALClusteringS2S.v2":0.280894,"BulgarianStoreReviewSentimentClassfication":0.702747,"CzechProductReviewSentimentClassification":0.580322,"PawsXPairClassification":0.5882989285714286,"FilipinoShopeeReviewsClassification":0.371167,"SemRel24STS":0.6757848333333333,"BigPatentClustering.v2":0.32571,"ArXivHierarchicalClusteringS2S":0.576409,"AILAStatutes":0.25162,"MultiHateClassification":0.6135,"DalajClassification":0.498649,"T2Reranking":0.666306,"WebLINXCandidatesReranking":0.08871283333333334,"KorSarcasmClassification":0.571436,"NusaX-senti":0.6915,"StackExchangeClustering.v2":0.576207,"Tatoeba":0.7611879910714286,"PolEmo2.0-OUT":0.383198,"RomaniBibleClustering":0.414633,"STS22.v2":0.7134637222222222,"PoemSentimentClassification":0.500014,"IndicGenBenchFloresBitextMining":0.8892267413793103},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":40,"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":0.6041920978359635,"meanTaskType":0.5285171877694232,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7073993702651515,"Classification":0.6250123282893918,"Clustering":0.49515773868348895,"PairClassification":0.7837580443722945,"Reranking":0.626544625,"Retrieval":0.5905713564164831,"InstructionReranking":0.011666333333333334,"BitextMining":0.6755133544342313,"MultilabelClassification":0.2410315391304348},"scoresByTask":{"ScalaClassification":0.51236575,"IndonesianIdClickbaitClassification":0.591893,"SICK-R":0.805413,"SCIDOCS":0.21505,"PunjabiNewsClassification":0.816561,"AlloProfClusteringS2S.v2":0.490307,"SlovakMovieReviewSentimentClassification":0.807422,"WikipediaRerankingMultilingual":0.82884125,"NTREXBitextMining":0.766550872651357,"NusaParagraphEmotionClassification":0.4730132,"MassiveIntentClassification":0.5940962156862745,"STS13":0.866599,"CyrillicTurkicLangClassification":0.651318,"CSFDSKMovieReviewSentimentClassification":0.366504,"XNLI":0.7429570357142856,"CEDRClassification":0.495218,"WinoGrande":0.44112,"IN22GenBitextMining":0.6707138695652174,"NusaTranslationBitextMining":0.7731034545454545,"TwitterURLCorpus":0.865583,"PpcPC":0.906108,"TwitterHjerneRetrieval":0.67878,"MalteseNewsClassification":0.321027,"STS12":0.815699,"LEMBPasskeyRetrieval":0.8475,"BUCC.v2":0.98745925,"SwahiliNewsClassification":0.620996,"BiorxivClusteringP2P.v2":0.451932,"STS14":0.826496,"BornholmBitextMining":0.469271,"FaroeseSTS":0.631154,"WikiCitiesClustering":0.778238,"NusaXBitextMining":0.7372066363636364,"STSBenchmark":0.861102,"StackOverflowQA":0.91418,"MultiEURLEXMultilabelClassification":0.05014869565217392,"NorwegianCourtsBitextMining":0.919591,"PlscClusteringP2P.v2":0.732788,"ToxicConversationsClassification":0.672314,"BrazilianToxicTweetsClassification":0.230566,"IndicLangClassification":0.820626,"News21InstructionRetrieval":0.039008,"GujaratiNewsClassification":0.761077,"SiswatiNewsClassification":0.745,"STS17":0.7746170909090909,"NollySentiBitextMining":0.45492775,"STS15":0.88647,"TempReasonL1":0.01175,"MedrxivClusteringP2P.v2":0.425434,"TRECCOVID":0.81262,"NepaliNewsClassification":0.923584,"ArmenianParaphrasePC":0.931895,"AmazonCounterfactualClassification":0.737615875,"KorHateSpeechMLClassification":0.108198,"BelebeleRetrieval":0.6639147074468086,"AlloprofReranking":0.78165,"NordicLangClassification":0.607,"StatcanDialogueDatasetRetrieval":0.33048500000000003,"RuBQReranking":0.72784,"STSES":0.744114,"WikiClusteringP2P.v2":0.29574814285714285,"FinParaSTS":0.198802,"OpusparcusPC":0.9457644166666667,"CataloniaTweetClassification":0.46039399999999997,"GermanSTSBenchmark":0.812582,"SwissJudgementClassification":0.53249,"MLQARetrieval":0.6651323469387754,"SwednClusteringP2P":0.4381915,"DBpediaClassification":0.951807,"HagridRetrieval":0.98847,"TswanaNewsClassification":0.358522,"WikipediaRetrievalMultilingual":0.8400412500000001,"ArguAna":0.53028,"MIRACLRetrievalHardNegatives":0.6260211111111111,"IsiZuluNewsClassification":0.250665,"DiaBlaBitextMining":0.856951,"LegalBenchCorporateLobbying":0.93245,"EstonianValenceClassification":0.422372,"SinhalaNewsClassification":0.553857,"SprintDuplicateQuestions":0.956555,"CovidRetrieval":0.81305,"IndicCrosslingualSTS":0.21552166666666664,"Core17InstructionRetrieval":0.024746,"RTE3":0.87761025,"BibleNLPBitextMining":0.12842380374396134,"AfriSentiClassification":0.45803258333333335,"PAC":0.677961,"VoyageMMarcoReranking":0.64635,"GreekLegalCodeClassification":0.4571775,"KurdishSentimentClassification":0.72159,"Robust04InstructionRetrieval":-0.028755,"TERRa":0.532683,"indonli":0.543097,"SpartQA":0.04992,"SentimentAnalysisHindi":0.660437,"ItaCaseholdClassification":0.762443,"OdiaNewsClassification":0.657884,"MasakhaNEWSClassification":0.76009925,"FinancialPhrasebankClassification":0.853578,"ArXivHierarchicalClusteringP2P":0.643759,"CLSClusteringP2P.v2":0.427665,"CTKFactsNLI":0.76556,"JSICK":0.808134,"STSB":0.8215520000000001,"FloresBitextMining":0.5987318042113398,"MacedonianTweetSentimentClassification":0.576032,"TweetTopicSingleClassification":0.761902,"SIB200ClusteringS2S":0.34794223857868023,"HALClusteringS2S.v2":0.303975,"BulgarianStoreReviewSentimentClassfication":0.643407,"CzechProductReviewSentimentClassification":0.595068,"PawsXPairClassification":0.5535257857142858,"FilipinoShopeeReviewsClassification":0.3572265,"SemRel24STS":0.5846905,"BigPatentClustering.v2":0.419226,"ArXivHierarchicalClusteringS2S":0.627477,"AILAStatutes":0.26952,"MultiHateClassification":0.6469909090909091,"MasakhaNEWSClusteringS2S":0.5019999375,"DalajClassification":0.499099,"T2Reranking":0.66512,"WebLINXCandidatesReranking":0.10946650000000001,"KorSarcasmClassification":0.551904,"NusaX-senti":0.6585208333333333,"StackExchangeClustering.v2":0.6366,"Tatoeba":0.6035280803571429,"PolEmo2.0-OUT":0.696356,"RomaniBibleClustering":0.401241,"STS22.v2":0.6654436666666667,"PoemSentimentClassification":0.6483285,"IndicGenBenchFloresBitextMining":0.8152150862068965},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":41,"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":{"STS":0.7104117085098223,"Classification":0.5901297281025372,"Clustering":0.5365150316729014,"PairClassification":0.7858276916137644,"Reranking":0.6304058307677637,"Retrieval":0.5793426107887993,"InstructionReranking":-0.018008,"BitextMining":0.6883560310712092,"MultilabelClassification":0.2518798227828036},"scoresByTask":{"ScalaClassification":0.53289794921875,"IndonesianIdClickbaitClassification":0.5782717020002759,"SICK-R":0.7699265897099083,"SCIDOCS":0.24687,"PunjabiNewsClassification":0.5598726114649681,"AlloProfClusteringS2S.v2":0.5584624917823335,"SlovakMovieReviewSentimentClassification":0.84658203125,"WikipediaRerankingMultilingual":0.8937412037037037,"NTREXBitextMining":0.7728248193085587,"NusaParagraphEmotionClassification":0.3339264706826883,"MassiveIntentClassification":0.603147375859275,"STS13":0.8233675805831938,"CyrillicTurkicLangClassification":0.627392578125,"CSFDSKMovieReviewSentimentClassification":0.345166015625,"XNLI":0.7179802219834659,"CEDRClassification":0.5072263549415515,"WinoGrande":0.321,"IN22GenBitextMining":0.6264714267442265,"NusaTranslationBitextMining":0.7861524476308837,"TwitterURLCorpus":0.880245996306869,"PpcPC":0.8714889656857301,"TwitterHjerneRetrieval":0.774,"MalteseNewsClassification":0.37997387897257295,"STS12":0.7568517860427304,"LEMBPasskeyRetrieval":0.3775,"BUCC.v2":0.989025517606559,"SwahiliNewsClassification":0.6037109375,"BiorxivClusteringP2P.v2":0.5422313821757675,"STS14":0.7987787992067579,"BornholmBitextMining":0.5075017316017315,"FaroeseSTS":0.7618155073073155,"WikiCitiesClustering":0.9110235415072879,"NusaXBitextMining":0.7827707581782448,"STSBenchmark":0.8355880011831174,"StackOverflowQA":0.92378,"MultiEURLEXMultilabelClassification":0.04726695652173913,"NorwegianCourtsBitextMining":0.9305555555555557,"PlscClusteringP2P.v2":0.747676187734729,"ToxicConversationsClassification":0.908251953125,"BrazilianToxicTweetsClassification":0.228515625,"IndicLangClassification":0.7779012426852521,"News21InstructionRetrieval":0.007358,"GujaratiNewsClassification":0.6438543247344461,"SiswatiNewsClassification":0.39875,"STS17":0.809712191114691,"NollySentiBitextMining":0.4639200724359499,"STS15":0.8576600770180892,"TempReasonL1":0.02983,"MedrxivClusteringP2P.v2":0.49590411571633836,"TRECCOVID":0.88437,"NepaliNewsClassification":0.9373046875,"ArmenianParaphrasePC":0.9189420497662172,"AmazonCounterfactualClassification":0.8711675034408363,"KorHateSpeechMLClassification":0.09641629847815417,"BelebeleRetrieval":0.6565772606382979,"AlloprofReranking":0.7843175388044725,"NordicLangClassification":0.6698333333333333,"StatcanDialogueDatasetRetrieval":0.48161750000000003,"RuBQReranking":0.7413185334224739,"STSES":0.7858187209410636,"WikiClusteringP2P.v2":0.31012654375781074,"FinParaSTS":0.1924935152558195,"OpusparcusPC":0.9399850702336447,"CataloniaTweetClassification":0.510357166371851,"GermanSTSBenchmark":0.8008042266863844,"SwissJudgementClassification":0.5605710886186371,"MLQARetrieval":0.6508361224489796,"SwednClusteringP2P":0.5468268106137036,"DBpediaClassification":0.9087890625,"HagridRetrieval":0.98572,"TswanaNewsClassification":0.33921971252566735,"WikipediaRetrievalMultilingual":0.901375,"ArguAna":0.56592,"MIRACLRetrievalHardNegatives":0.46744111111111114,"IsiZuluNewsClassification":0.2110372340425532,"DiaBlaBitextMining":0.8604974161065283,"LegalBenchCorporateLobbying":0.93563,"EstonianValenceClassification":0.3801955990220049,"SinhalaNewsClassification":0.52333984375,"SprintDuplicateQuestions":0.9766692232687736,"CovidRetrieval":0.7205,"IndicCrosslingualSTS":0.21696509733881733,"Core17InstructionRetrieval":0.004369,"RTE3":0.8716708305151571,"BibleNLPBitextMining":0.1555450226561159,"AfriSentiClassification":0.4245752014931837,"PAC":0.6481899797277728,"VoyageMMarcoReranking":0.5911690846119884,"GreekLegalCodeClassification":0.1968505859375,"KurdishSentimentClassification":0.6741821841972824,"Robust04InstructionRetrieval":-0.065751,"TERRa":0.5849395582717876,"indonli":0.525365303316593,"SpartQA":0.08838,"SentimentAnalysisHindi":0.6173571859257712,"ItaCaseholdClassification":0.6407239819004524,"OdiaNewsClassification":0.5517802508570987,"MasakhaNEWSClassification":0.7316713608175158,"FinancialPhrasebankClassification":0.757773851590106,"ArXivHierarchicalClusteringP2P":0.653697253315525,"CLSClusteringP2P.v2":0.4591065703717877,"CTKFactsNLI":0.7889785247761882,"JSICK":0.8378054628722682,"STSB":0.7803711069458885,"FloresBitextMining":0.5914761276247826,"MacedonianTweetSentimentClassification":0.5021949078138719,"TweetTopicSingleClassification":0.675073833431778,"SIB200ClusteringS2S":0.3319243053768026,"HALClusteringS2S.v2":0.300900629861384,"BulgarianStoreReviewSentimentClassfication":0.7626373626373626,"CzechProductReviewSentimentClassification":0.556689453125,"PawsXPairClassification":0.5678388636269834,"FilipinoShopeeReviewsClassification":0.375439453125,"SemRel24STS":0.6670738345759623,"BigPatentClustering.v2":0.4453164717722028,"ArXivHierarchicalClusteringS2S":0.6399603433974237,"AILAStatutes":0.41682,"MultiHateClassification":0.6773,"MasakhaNEWSClusteringS2S":0.49683898270543553,"DalajClassification":0.5269144144144146,"T2Reranking":0.6734923556470908,"WebLINXCandidatesReranking":0.09839626841685256,"KorSarcasmClassification":0.558154296875,"NusaX-senti":0.6763958333333333,"StackExchangeClustering.v2":0.7499008423226651,"Tatoeba":0.6603485000615491,"PolEmo2.0-OUT":0.5540485829959514,"RomaniBibleClustering":0.3943440343552257,"STS22.v2":0.6715548393751484,"PoemSentimentClassification":0.5960851648351648,"IndicGenBenchFloresBitextMining":0.8215390084150361},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","STS12","STS22.v2","STSBenchmark"],"experiments":null},{"rank":42,"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":{"STS":0.7273399371843434,"Classification":0.6169409941109109,"Clustering":0.5468648532989259,"PairClassification":0.7779432207792208,"Reranking":0.6334734652777777,"Retrieval":0.5649661861005237,"InstructionReranking":-0.016544333333333335,"BitextMining":0.6980320944265892,"MultilabelClassification":0.24562215652173913},"scoresByTask":{"ScalaClassification":0.64350575,"IndonesianIdClickbaitClassification":0.594927,"SICK-R":0.766394,"SCIDOCS":0.19936,"PunjabiNewsClassification":0.754777,"AlloProfClusteringS2S.v2":0.419655,"SlovakMovieReviewSentimentClassification":0.744092,"WikipediaRerankingMultilingual":0.872510625,"NTREXBitextMining":0.8056587390396659,"NusaParagraphEmotionClassification":0.40268699999999996,"MassiveIntentClassification":0.7702046274509804,"STS13":0.852266,"CyrillicTurkicLangClassification":0.793799,"CSFDSKMovieReviewSentimentClassification":0.34165,"XNLI":0.7172392142857144,"CEDRClassification":0.523645,"WinoGrande":0.34897,"IN22GenBitextMining":0.7284172549407115,"NusaTranslationBitextMining":0.7942593636363636,"TwitterURLCorpus":0.862989,"PpcPC":0.865581,"TwitterHjerneRetrieval":0.6456,"MalteseNewsClassification":0.351894,"STS12":0.813965,"LEMBPasskeyRetrieval":0.7625,"BUCC.v2":0.9876795,"SwahiliNewsClassification":0.606738,"BiorxivClusteringP2P.v2":0.586002,"STS14":0.827708,"BornholmBitextMining":0.464733,"FaroeseSTS":0.698931,"WikiCitiesClustering":0.877457,"NusaXBitextMining":0.7482610000000001,"STSBenchmark":0.869486,"StackOverflowQA":0.92002,"MultiEURLEXMultilabelClassification":0.04183478260869565,"NorwegianCourtsBitextMining":0.929094,"PlscClusteringP2P.v2":0.71984,"ToxicConversationsClassification":0.906299,"BrazilianToxicTweetsClassification":0.220654,"IndicLangClassification":0.855286,"News21InstructionRetrieval":0.002743,"GujaratiNewsClassification":0.809029,"SiswatiNewsClassification":0.6275,"STS17":0.7994322727272727,"NollySentiBitextMining":0.471619,"STS15":0.886049,"TempReasonL1":0.01325,"MedrxivClusteringP2P.v2":0.49182,"TRECCOVID":0.52932,"NepaliNewsClassification":0.939697,"ArmenianParaphrasePC":0.933672,"AmazonCounterfactualClassification":0.9001115,"KorHateSpeechMLClassification":0.090083,"BelebeleRetrieval":0.6990965425531914,"AlloprofReranking":0.75912,"NordicLangClassification":0.594167,"StatcanDialogueDatasetRetrieval":0.24535,"RuBQReranking":0.69627,"STSES":0.791204,"WikiClusteringP2P.v2":0.2821747857142857,"FinParaSTS":0.1831195,"OpusparcusPC":0.9356827500000001,"CataloniaTweetClassification":0.48350150000000003,"GermanSTSBenchmark":0.8257255,"SwissJudgementClassification":0.5507073333333333,"MLQARetrieval":0.6979959183673469,"SwednClusteringP2P":0.5052875,"DBpediaClassification":0.842236,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.322382,"WikipediaRetrievalMultilingual":0.87637,"ArguAna":0.5801,"MIRACLRetrievalHardNegatives":0.5787688888888889,"IsiZuluNewsClassification":0.256782,"DiaBlaBitextMining":0.851219,"LegalBenchCorporateLobbying":0.93736,"EstonianValenceClassification":0.353912,"SinhalaNewsClassification":0.699316,"SprintDuplicateQuestions":0.96257,"CovidRetrieval":0.75478,"IndicCrosslingualSTS":0.32861724999999997,"Core17InstructionRetrieval":-0.019645,"RTE3":0.86216525,"BibleNLPBitextMining":0.15901060386473428,"AfriSentiClassification":0.4164650833333334,"PAC":0.642427,"VoyageMMarcoReranking":0.6948,"GreekLegalCodeClassification":0.240454,"KurdishSentimentClassification":0.654504,"Robust04InstructionRetrieval":-0.032731,"TERRa":0.557964,"indonli":0.520122,"SpartQA":0.13135,"SentimentAnalysisHindi":0.593862,"ItaCaseholdClassification":0.645249,"OdiaNewsClassification":0.727265,"MasakhaNEWSClassification":0.7602449375,"FinancialPhrasebankClassification":0.72182,"ArXivHierarchicalClusteringP2P":0.643288,"CLSClusteringP2P.v2":0.717415,"CTKFactsNLI":0.7621055,"JSICK":0.823661,"STSB":0.826603,"FloresBitextMining":0.621007041002608,"MacedonianTweetSentimentClassification":0.455048,"TweetTopicSingleClassification":0.771884,"SIB200ClusteringS2S":0.6792543045685279,"HALClusteringS2S.v2":0.258728,"BulgarianStoreReviewSentimentClassfication":0.715385,"CzechProductReviewSentimentClassification":0.563965,"PawsXPairClassification":0.5772847142857144,"FilipinoShopeeReviewsClassification":0.3495605,"SemRel24STS":0.6498669166666667,"BigPatentClustering.v2":0.369344,"ArXivHierarchicalClusteringS2S":0.613511,"AILAStatutes":0.26226,"MultiHateClassification":0.5793181818181817,"MasakhaNEWSClusteringS2S":0.4585160625,"DalajClassification":0.496622,"T2Reranking":0.66639,"WebLINXCandidatesReranking":0.11175016666666666,"KorSarcasmClassification":0.553418,"NusaX-senti":0.6421458333333333,"StackExchangeClustering.v2":0.711864,"Tatoeba":0.6235007767857143,"PolEmo2.0-OUT":0.589676,"RomaniBibleClustering":0.415681,"STS22.v2":0.6944105555555555,"PoemSentimentClassification":0.6158425000000001,"IndicGenBenchFloresBitextMining":0.889957948275862},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":43,"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":{"Classification":0.5823944269177757,"Clustering":0.5226252467056064,"PairClassification":0.8457331377224151,"Retrieval":0.5776650079723576,"InstructionReranking":0.05358333333333334,"BitextMining":0.6079808430957608,"MultilabelClassification":0.23451109149378552},"scoresByTask":{"ScalaClassification":0.5556639999999999,"IndonesianIdClickbaitClassification":0.601414,"SICK-R":0.7914737320486729,"SCIDOCS":0.27694,"PunjabiNewsClassification":0.575796,"AlloProfClusteringS2S.v2":0.55302,"SlovakMovieReviewSentimentClassification":0.701514,"WikipediaRerankingMultilingual":0.8835913125,"NTREXBitextMining":0.6700759890396659,"NusaParagraphEmotionClassification":0.3581891,"MassiveIntentClassification":0.5680241078431373,"STS13":0.8862720469210904,"CyrillicTurkicLangClassification":0.622461,"CSFDSKMovieReviewSentimentClassification":0.332129,"XNLI":0.853927,"CEDRClassification":0.5477151965993624,"WinoGrande":0.64799,"IN22GenBitextMining":0.5759286324110672,"NusaTranslationBitextMining":0.6665869999999999,"TwitterURLCorpus":0.867900899669397,"PpcPC":0.926785,"TwitterHjerneRetrieval":0.64255,"MalteseNewsClassification":0.308098,"STS12":0.7652287451692155,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.98975225,"SwahiliNewsClassification":0.572803,"BiorxivClusteringP2P.v2":0.55757,"STS14":0.8332346434965836,"BornholmBitextMining":0.406232,"FaroeseSTS":0.676476,"WikiCitiesClustering":0.907419,"NusaXBitextMining":0.6089824545454546,"STSBenchmark":0.8735031011815017,"StackOverflowQA":0.91017,"MultiEURLEXMultilabelClassification":0.04141826086956522,"NorwegianCourtsBitextMining":0.923977,"PlscClusteringP2P.v2":0.72294,"ToxicConversationsClassification":0.7875399999999999,"BrazilianToxicTweetsClassification":0.215088,"IndicLangClassification":0.796344,"News21InstructionRetrieval":0.018197,"GujaratiNewsClassification":0.768589,"SiswatiNewsClassification":0.42875,"NollySentiBitextMining":0.32197075,"STS15":0.8750432670473445,"TempReasonL1":0.0184,"MedrxivClusteringP2P.v2":0.49515,"TRECCOVID":0.7272,"NepaliNewsClassification":0.927734,"ArmenianParaphrasePC":0.905094,"AmazonCounterfactualClassification":0.79854725,"KorHateSpeechMLClassification":0.060236,"BelebeleRetrieval":0.5994616755319149,"AlloprofReranking":0.755628,"NordicLangClassification":0.7294,"StatcanDialogueDatasetRetrieval":0.353085,"RuBQReranking":0.7028418717346855,"STSES":0.725065,"WikiClusteringP2P.v2":0.3000939285714286,"FinParaSTS":0.253549,"OpusparcusPC":0.9519259166666667,"CataloniaTweetClassification":0.522397,"GermanSTSBenchmark":0.809884,"SwissJudgementClassification":0.539173,"MLQARetrieval":0.7011052040816326,"SwednClusteringP2P":0.48324449999999997,"DBpediaClassification":0.960986,"HagridRetrieval":0.98747,"TswanaNewsClassification":0.275975,"WikipediaRetrievalMultilingual":0.8580393749999999,"ArguAna":0.62645,"MIRACLRetrievalHardNegatives":0.4285888888888889,"IsiZuluNewsClassification":0.190824,"DiaBlaBitextMining":0.861042,"LegalBenchCorporateLobbying":0.94513,"EstonianValenceClassification":0.426284,"SinhalaNewsClassification":0.432227,"SprintDuplicateQuestions":0.9606741547889861,"CovidRetrieval":0.80873,"IndicCrosslingualSTS":0.23876891666666666,"Core17InstructionRetrieval":0.083726,"RTE3":0.90852175,"BibleNLPBitextMining":0.0934515422705314,"AfriSentiClassification":0.43942975,"PAC":0.663771,"VoyageMMarcoReranking":0.474524,"GreekLegalCodeClassification":0.101904,"KurdishSentimentClassification":0.627378,"Robust04InstructionRetrieval":0.058827,"TERRa":0.6949609366786602,"indonli":0.638804,"SpartQA":0.16955,"SentimentAnalysisHindi":0.573431,"ItaCaseholdClassification":0.723982,"OdiaNewsClassification":0.641372,"MasakhaNEWSClassification":0.6986899375,"FinancialPhrasebankClassification":0.777871,"ArXivHierarchicalClusteringP2P":0.6726,"CLSClusteringP2P.v2":0.463449,"CTKFactsNLI":0.861944,"JSICK":0.707808,"FloresBitextMining":0.4585669072491065,"MacedonianTweetSentimentClassification":0.538191,"TweetTopicSingleClassification":0.751093,"SIB200ClusteringS2S":0.3228490812182741,"HALClusteringS2S.v2":0.299673,"BulgarianStoreReviewSentimentClassfication":0.681319,"CzechProductReviewSentimentClassification":0.551221,"PawsXPairClassification":0.7325268571428571,"FilipinoShopeeReviewsClassification":0.368091,"SemRel24STS":0.5527935,"BigPatentClustering.v2":0.282013,"ArXivHierarchicalClusteringS2S":0.639121,"AILAStatutes":0.31461,"MultiHateClassification":0.6842545454545454,"MasakhaNEWSClusteringS2S":0.4659294375,"DalajClassification":0.501239,"WebLINXCandidatesReranking":0.11768416666666666,"KorSarcasmClassification":0.557422,"NusaX-senti":0.6506666666666666,"StackExchangeClustering.v2":0.805959,"Tatoeba":0.5678551071428571,"PolEmo2.0-OUT":0.470445,"RomaniBibleClustering":0.390973,"STS22.v2":0.6879782222222223,"PoemSentimentClassification":0.568425,"IndicGenBenchFloresBitextMining":0.7593293275862069},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":44,"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":{"Classification":0.6026862581032166,"Clustering":0.47054923297333984,"Reranking":0.6388514405002738,"Retrieval":0.5932486238293584,"InstructionReranking":-0.026765020547623527,"BitextMining":0.6215164057963966,"MultilabelClassification":0.22027121578726816},"scoresByTask":{"ScalaClassification":0.507471,"IndonesianIdClickbaitClassification":0.6042294428100596,"SICK-R":0.7900399379,"SCIDOCS":0.23071,"PunjabiNewsClassification":0.729936305732484,"AlloProfClusteringS2S.v2":0.5662427627371602,"SlovakMovieReviewSentimentClassification":0.79189453125,"WikipediaRerankingMultilingual":0.8884176752645503,"NTREXBitextMining":0.6759026246466017,"NusaParagraphEmotionClassification":0.4608730747060118,"MassiveIntentClassification":0.5882194117647058,"STS13":0.8609681753,"CyrillicTurkicLangClassification":0.47978515625,"CSFDSKMovieReviewSentimentClassification":0.405322265625,"XNLI":0.7257922787410054,"CEDRClassification":0.46769394261424024,"WinoGrande":0.2911,"IN22GenBitextMining":0.4445832673362433,"NusaTranslationBitextMining":0.7373321234417616,"PpcPC":0.9147084910522896,"TwitterHjerneRetrieval":0.82489,"MalteseNewsClassification":0.27488027862429254,"STS12":0.7283588741,"LEMBPasskeyRetrieval":0.6975,"BUCC.v2":0.9897874107902187,"SwahiliNewsClassification":0.645947265625,"BiorxivClusteringP2P.v2":0.4064671336706326,"STS14":0.8115012257,"BornholmBitextMining":0.435626,"FaroeseSTS":0.7495941443294787,"WikiCitiesClustering":0.8532907659925846,"NusaXBitextMining":0.7102285252191208,"STSBenchmark":0.8356231247,"StackOverflowQA":0.92439,"MultiEURLEXMultilabelClassification":0.03826608695652174,"NorwegianCourtsBitextMining":0.940058,"PlscClusteringP2P.v2":0.7105706347976926,"ToxicConversationsClassification":0.688232421875,"BrazilianToxicTweetsClassification":0.228125,"IndicLangClassification":0.5411861397856532,"News21InstructionRetrieval":-0.02026237736978675,"GujaratiNewsClassification":0.7270864946889225,"SiswatiNewsClassification":0.6125,"NollySentiBitextMining":0.3602839321315646,"STS15":0.8848536072,"TempReasonL1":0.02126,"MedrxivClusteringP2P.v2":0.3605684448601972,"TRECCOVID":0.79562,"NepaliNewsClassification":0.918896484375,"ArmenianParaphrasePC":0.9119998195318644,"AmazonCounterfactualClassification":0.7745554117540872,"KorHateSpeechMLClassification":0.09239077074128621,"BelebeleRetrieval":0.6879388031914894,"AlloprofReranking":0.8030230136896739,"NordicLangClassification":0.797367,"StatcanDialogueDatasetRetrieval":0.31098,"RuBQReranking":0.7518908455520829,"STSES":0.742164,"WikiClusteringP2P.v2":0.2772000134573109,"FinParaSTS":0.23505001009883802,"OpusparcusPC":0.9608057910562459,"CataloniaTweetClassification":0.5303249999999999,"GermanSTSBenchmark":0.8424308106781443,"SwissJudgementClassification":0.581184243872416,"MLQARetrieval":0.7324698979591836,"SwednClusteringP2P":0.372099,"DBpediaClassification":0.914794921875,"HagridRetrieval":0.99045,"TswanaNewsClassification":0.36837782340862424,"WikipediaRetrievalMultilingual":0.89242875,"ArguAna":0.57992,"MIRACLRetrievalHardNegatives":0.5693777777777779,"IsiZuluNewsClassification":0.285904255319149,"DiaBlaBitextMining":0.8846228353143801,"LegalBenchCorporateLobbying":0.95222,"EstonianValenceClassification":0.436919315403423,"SinhalaNewsClassification":0.496728515625,"CovidRetrieval":0.68432,"IndicCrosslingualSTS":0.12593334632315248,"Core17InstructionRetrieval":-0.0019630682229421848,"RTE3":0.872026311556171,"BibleNLPBitextMining":0.13453410549460348,"AfriSentiClassification":0.4450883159199708,"PAC":0.7033014769765421,"VoyageMMarcoReranking":0.6245420744502883,"GreekLegalCodeClassification":0.3770263671875,"KurdishSentimentClassification":0.6574232511323603,"Robust04InstructionRetrieval":-0.05806961605014164,"TERRa":0.5807862400836128,"indonli":0.5335609297461946,"SpartQA":0.0744,"SentimentAnalysisHindi":0.5674087595513349,"ItaCaseholdClassification":0.7013574660633484,"OdiaNewsClassification":0.6048828693588888,"MasakhaNEWSClassification":0.7335418447804932,"FinancialPhrasebankClassification":0.82226148409894,"ArXivHierarchicalClusteringP2P":0.5951058902834719,"CLSClusteringP2P.v2":0.3919650269689925,"CTKFactsNLI":0.8072716605808476,"JSICK":0.812385607766652,"STSB":0.8024660879533194,"FloresBitextMining":0.47615715710335904,"MacedonianTweetSentimentClassification":0.5923617208077261,"TweetTopicSingleClassification":0.7057294743059658,"SIB200ClusteringS2S":0.2957876900738167,"HALClusteringS2S.v2":0.2833047052874952,"BulgarianStoreReviewSentimentClassfication":0.6467032967032967,"CzechProductReviewSentimentClassification":0.588037109375,"PawsXPairClassification":0.599144606291114,"FilipinoShopeeReviewsClassification":0.41396484375,"SemRel24STS":0.6524806518504508,"BigPatentClustering.v2":0.3282742581791263,"ArXivHierarchicalClusteringS2S":0.5992750593820826,"AILAStatutes":0.4185,"MultiHateClassification":0.6896545454545454,"MasakhaNEWSClusteringS2S":0.4562127132711609,"DalajClassification":0.500563,"T2Reranking":0.6705490914475406,"WebLINXCandidatesReranking":0.09468594259750651,"KorSarcasmClassification":0.59345703125,"NusaX-senti":0.6706249999999999,"StackExchangeClustering.v2":0.625075212537656,"Tatoeba":0.6562552035826513,"PolEmo2.0-OUT":0.5006072874493926,"RomaniBibleClustering":0.4073484160740575,"STS22.v2":0.6929491666150667,"PoemSentimentClassification":0.5137774725274725,"IndicGenBenchFloresBitextMining":0.6343420902926502},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":45,"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":0.4995605098839915,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6990535578346755,"Classification":0.5669403998641573,"Clustering":0.4970993515241362,"PairClassification":0.7847153336252866,"Reranking":0.6137494702917606,"Retrieval":0.5283551618594642,"InstructionReranking":0.002130666666666666,"BitextMining":0.5856271429727177,"MultilabelClassification":0.21837350431705854},"scoresByTask":{"ScalaClassification":0.50335693359375,"IndonesianIdClickbaitClassification":0.5949811572388662,"SICK-R":0.8240165924558952,"SCIDOCS":0.26769,"PunjabiNewsClassification":0.7076433121019108,"AlloProfClusteringS2S.v2":0.4898297698660915,"SlovakMovieReviewSentimentClassification":0.750244140625,"WikipediaRerankingMultilingual":0.8497159060846561,"NTREXBitextMining":0.6330048893396267,"NusaParagraphEmotionClassification":0.4063709564680484,"MassiveIntentClassification":0.48595058780020867,"STS13":0.8862429790970509,"CyrillicTurkicLangClassification":0.443603515625,"CSFDSKMovieReviewSentimentClassification":0.353564453125,"XNLI":0.7135481266181604,"CEDRClassification":0.439798087141339,"WinoGrande":0.45327,"IN22GenBitextMining":0.42637996680370643,"NusaTranslationBitextMining":0.7497428305665395,"TwitterURLCorpus":0.8736525428661075,"PpcPC":0.8744633882550972,"TwitterHjerneRetrieval":0.45019,"MalteseNewsClassification":0.2903787548976926,"STS12":0.7855520488226414,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.9857448484807625,"SwahiliNewsClassification":0.6115234375,"BiorxivClusteringP2P.v2":0.5238436429933815,"STS14":0.8331890044293464,"BornholmBitextMining":0.4765410256410257,"FaroeseSTS":0.6477624234117043,"WikiCitiesClustering":0.8828792124799975,"NusaXBitextMining":0.6523807700743398,"STSBenchmark":0.874855111372355,"StackOverflowQA":0.8952,"MultiEURLEXMultilabelClassification":0.04487652173913043,"NorwegianCourtsBitextMining":0.9254385964912281,"PlscClusteringP2P.v2":0.7111740626683348,"ToxicConversationsClassification":0.867626953125,"BrazilianToxicTweetsClassification":0.240869140625,"IndicLangClassification":0.554027220724571,"News21InstructionRetrieval":0.02085,"GujaratiNewsClassification":0.6185887708649468,"SiswatiNewsClassification":0.5537500000000001,"STS17":0.754324048725048,"NollySentiBitextMining":0.3838234957610547,"STS15":0.8850644215638906,"TempReasonL1":0.01429,"MedrxivClusteringP2P.v2":0.47229686525218595,"TRECCOVID":0.83842,"NepaliNewsClassification":0.892431640625,"ArmenianParaphrasePC":0.909103786919342,"AmazonCounterfactualClassification":0.8433246404634167,"KorHateSpeechMLClassification":0.07594501718213059,"BelebeleRetrieval":0.6011458244680852,"AlloprofReranking":0.7550792014283335,"NordicLangClassification":0.5509,"StatcanDialogueDatasetRetrieval":0.3743725,"RuBQReranking":0.7353816190634465,"STSES":0.7903547695055785,"WikiClusteringP2P.v2":0.28098000498210896,"FinParaSTS":0.18049866467893338,"OpusparcusPC":0.9253898949164059,"CataloniaTweetClassification":0.5143427749295587,"GermanSTSBenchmark":0.8138993724328965,"SwissJudgementClassification":0.5549149636956076,"MLQARetrieval":0.6226880612244897,"SwednClusteringP2P":0.45420931224587313,"DBpediaClassification":0.9107421875,"HagridRetrieval":0.98721,"TswanaNewsClassification":0.2924024640657084,"WikipediaRetrievalMultilingual":0.78904375,"ArguAna":0.5706,"MIRACLRetrievalHardNegatives":0.20902277777777778,"IsiZuluNewsClassification":0.24920212765957447,"DiaBlaBitextMining":0.804915258907952,"LegalBenchCorporateLobbying":0.94676,"EstonianValenceClassification":0.3331295843520782,"SinhalaNewsClassification":0.419287109375,"SprintDuplicateQuestions":0.9611373611590401,"CovidRetrieval":0.78285,"IndicCrosslingualSTS":0.11361840565059628,"Core17InstructionRetrieval":0.020463,"RTE3":0.8841579366838557,"BibleNLPBitextMining":0.10798511206432344,"AfriSentiClassification":0.4153699941682243,"PAC":0.686909933391254,"VoyageMMarcoReranking":0.568229712592622,"GreekLegalCodeClassification":0.195361328125,"KurdishSentimentClassification":0.6097131353799699,"Robust04InstructionRetrieval":-0.034921,"TERRa":0.5573968359881456,"indonli":0.5587535050855057,"SpartQA":0.0439,"SentimentAnalysisHindi":0.5002558031630425,"ItaCaseholdClassification":0.7158371040723982,"OdiaNewsClassification":0.5738939780073613,"MasakhaNEWSClassification":0.6917783256981338,"FinancialPhrasebankClassification":0.801678445229682,"ArXivHierarchicalClusteringP2P":0.6452339106857525,"CLSClusteringP2P.v2":0.41126914741074055,"CTKFactsNLI":0.7766095051416986,"JSICK":0.7786621088920119,"STSB":0.8050913806120912,"FloresBitextMining":0.4799458682395927,"MacedonianTweetSentimentClassification":0.46654960491659353,"TweetTopicSingleClassification":0.6805670407560543,"SIB200ClusteringS2S":0.24609344532153418,"HALClusteringS2S.v2":0.27348270525053564,"BulgarianStoreReviewSentimentClassfication":0.6681318681318682,"CzechProductReviewSentimentClassification":0.542529296875,"PawsXPairClassification":0.5976557862447939,"FilipinoShopeeReviewsClassification":0.3509765625,"SemRel24STS":0.5218958939624679,"BigPatentClustering.v2":0.34945293653644904,"ArXivHierarchicalClusteringS2S":0.6131306424118907,"AILAStatutes":0.28124,"MultiHateClassification":0.5853454545454545,"MasakhaNEWSClusteringS2S":0.4167922945316068,"DalajClassification":0.49977477477477483,"T2Reranking":0.6712207724142024,"WebLINXCandidatesReranking":0.10286961016730323,"KorSarcasmClassification":0.537646484375,"NusaX-senti":0.6586666666666666,"StackExchangeClustering.v2":0.7604248089768724,"Tatoeba":0.4420360988277256,"PolEmo2.0-OUT":0.5860323886639677,"RomaniBibleClustering":0.42249686277282483,"STS22.v2":0.6898296997422999,"PoemSentimentClassification":0.5995100732600733,"IndicGenBenchFloresBitextMining":0.5452140974474533},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":46,"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":{"Retrieval":0.5511889921978445,"InstructionReranking":0.0025889999999999993,"BitextMining":0.6063049974619286,"MultilabelClassification":0.22660653913043477},"scoresByTask":{"IndonesianIdClickbaitClassification":0.596792,"SICK-R":0.82234,"SCIDOCS":0.24638,"PunjabiNewsClassification":0.78535,"AlloProfClusteringS2S.v2":0.543335,"SlovakMovieReviewSentimentClassification":0.785156,"WikipediaRerankingMultilingual":0.87109825,"NTREXBitextMining":0.6403605762004175,"NusaParagraphEmotionClassification":0.4047801,"STS13":0.89692,"CyrillicTurkicLangClassification":0.487256,"CSFDSKMovieReviewSentimentClassification":0.358154,"XNLI":0.7269214999999999,"CEDRClassification":0.480659,"WinoGrande":0.47656,"IN22GenBitextMining":0.4452912193675889,"NusaTranslationBitextMining":0.7332389090909092,"TwitterURLCorpus":0.877075,"PpcPC":0.880841,"TwitterHjerneRetrieval":0.34564,"MalteseNewsClassification":0.336961,"STS12":0.802578,"LEMBPasskeyRetrieval":0.6225,"BUCC.v2":0.98887625,"SwahiliNewsClassification":0.612402,"BiorxivClusteringP2P.v2":0.550404,"STS14":0.853155,"BornholmBitextMining":0.555905,"FaroeseSTS":0.700253,"WikiCitiesClustering":0.858664,"NusaXBitextMining":0.6603829999999999,"STSBenchmark":0.888456,"StackOverflowQA":0.85675,"MultiEURLEXMultilabelClassification":0.048928695652173906,"NorwegianCourtsBitextMining":0.928363,"PlscClusteringP2P.v2":0.721735,"ToxicConversationsClassification":0.913135,"BrazilianToxicTweetsClassification":0.215674,"IndicLangClassification":0.646124,"News21InstructionRetrieval":0.008075,"GujaratiNewsClassification":0.653187,"SiswatiNewsClassification":0.54625,"NollySentiBitextMining":0.3863215,"STS15":0.901574,"TempReasonL1":0.01301,"MedrxivClusteringP2P.v2":0.497693,"TRECCOVID":0.86732,"NepaliNewsClassification":0.913916,"ArmenianParaphrasePC":0.911458,"AmazonCounterfactualClassification":0.859297875,"KorHateSpeechMLClassification":0.05081,"BelebeleRetrieval":0.6201197606382979,"AlloprofReranking":0.770939,"NordicLangClassification":0.5853,"StatcanDialogueDatasetRetrieval":0.355805,"STSES":0.798621,"WikiClusteringP2P.v2":0.29981707142857145,"FinParaSTS":0.181305,"OpusparcusPC":0.929625,"CataloniaTweetClassification":0.521837,"GermanSTSBenchmark":0.8392855,"SwissJudgementClassification":0.5786113333333334,"MLQARetrieval":0.6656559183673469,"SwednClusteringP2P":0.455752,"DBpediaClassification":0.914941,"HagridRetrieval":0.98543,"TswanaNewsClassification":0.350308,"WikipediaRetrievalMultilingual":0.832000625,"ArguAna":0.65204,"MIRACLRetrievalHardNegatives":0.27725055555555556,"IsiZuluNewsClassification":0.253324,"DiaBlaBitextMining":0.837269,"LegalBenchCorporateLobbying":0.94383,"EstonianValenceClassification":0.347311,"SinhalaNewsClassification":0.430225,"SprintDuplicateQuestions":0.964021,"CovidRetrieval":0.73553,"IndicCrosslingualSTS":0.11053675,"Core17InstructionRetrieval":0.02269,"RTE3":0.889588,"BibleNLPBitextMining":0.12269383574879228,"AfriSentiClassification":0.4178858333333333,"PAC":0.671156,"VoyageMMarcoReranking":0.560784,"GreekLegalCodeClassification":0.14409149999999998,"KurdishSentimentClassification":0.616658,"Robust04InstructionRetrieval":-0.022998,"TERRa":0.566219,"indonli":0.55793,"SpartQA":0.10635,"SentimentAnalysisHindi":0.504253,"ItaCaseholdClassification":0.679638,"OdiaNewsClassification":0.529611,"MasakhaNEWSClassification":0.74193225,"FinancialPhrasebankClassification":0.833392,"ArXivHierarchicalClusteringP2P":0.686877,"CLSClusteringP2P.v2":0.439201,"CTKFactsNLI":0.7889955,"JSICK":0.793177,"STSB":0.820854,"FloresBitextMining":0.49354160178209217,"MacedonianTweetSentimentClassification":0.482002,"TweetTopicSingleClassification":0.743001,"HALClusteringS2S.v2":0.297597,"BulgarianStoreReviewSentimentClassfication":0.696154,"CzechProductReviewSentimentClassification":0.55083,"FilipinoShopeeReviewsClassification":0.3668945,"SemRel24STS":0.5496155,"BigPatentClustering.v2":0.36439,"ArXivHierarchicalClusteringS2S":0.647347,"AILAStatutes":0.31923,"MultiHateClassification":0.5948818181818182,"MasakhaNEWSClusteringS2S":0.479536125,"DalajClassification":0.503941,"T2Reranking":0.671071,"WebLINXCandidatesReranking":0.11373266666666666,"KorSarcasmClassification":0.53042,"NusaX-senti":0.6685833333333333,"StackExchangeClustering.v2":0.80049,"Tatoeba":0.47462566964285713,"PolEmo2.0-OUT":0.587854,"RomaniBibleClustering":0.402406,"STS22.v2":0.6984303888888889,"PoemSentimentClassification":0.6071335,"IndicGenBenchFloresBitextMining":0.6150954051724138},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":47,"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":{"Classification":0.5728667141695685,"Clustering":0.40799889874179956,"PairClassification":0.7893633858442904,"Reranking":0.638239976660262,"Retrieval":0.5672494040650145,"InstructionReranking":0.010405,"BitextMining":0.5784180828033816,"MultilabelClassification":0.18633925220163564},"scoresByTask":{"ScalaClassification":0.50687275,"IndonesianIdClickbaitClassification":0.626581,"SICK-R":0.8214763206055602,"SCIDOCS":0.21901,"PunjabiNewsClassification":0.57707,"AlloProfClusteringS2S.v2":0.452606,"SlovakMovieReviewSentimentClassification":0.685742,"WikipediaRerankingMultilingual":0.9060883125,"NTREXBitextMining":0.6172040495824636,"NusaParagraphEmotionClassification":0.3948631,"MassiveIntentClassification":0.5783538725490196,"STS13":0.8830238972017451,"CyrillicTurkicLangClassification":0.702246,"CSFDSKMovieReviewSentimentClassification":0.341162,"XNLI":0.7047195357142858,"CEDRClassification":0.39234856535600426,"WinoGrande":0.4974,"IN22GenBitextMining":0.5032285691699605,"NusaTranslationBitextMining":0.6814693636363637,"TwitterURLCorpus":0.8786649114275045,"PpcPC":0.920137,"TwitterHjerneRetrieval":0.45574,"MalteseNewsClassification":0.224205,"STS12":0.7789286260403269,"LEMBPasskeyRetrieval":0.4275,"BUCC.v2":0.98910325,"SwahiliNewsClassification":0.585498,"BiorxivClusteringP2P.v2":0.437315,"STS14":0.8429920990970672,"BornholmBitextMining":0.433718,"FaroeseSTS":0.765184,"WikiCitiesClustering":0.674872,"NusaXBitextMining":0.4809628181818182,"STSBenchmark":0.8840520383147418,"StackOverflowQA":0.92931,"MultiEURLEXMultilabelClassification":0.026928695652173915,"NorwegianCourtsBitextMining":0.924708,"PlscClusteringP2P.v2":0.691034,"ToxicConversationsClassification":0.9274020000000001,"BrazilianToxicTweetsClassification":0.209863,"IndicLangClassification":0.861888,"News21InstructionRetrieval":0.015816,"GujaratiNewsClassification":0.643854,"SiswatiNewsClassification":0.5875,"NollySentiBitextMining":0.26413575,"STS15":0.8903555007807218,"TempReasonL1":0.06503,"MedrxivClusteringP2P.v2":0.37396367034196193,"TRECCOVID":0.88851,"NepaliNewsClassification":0.902686,"ArmenianParaphrasePC":0.923768,"AmazonCounterfactualClassification":0.776058375,"KorHateSpeechMLClassification":0.078351,"BelebeleRetrieval":0.697943164893617,"AlloprofReranking":0.736418,"NordicLangClassification":0.717367,"StatcanDialogueDatasetRetrieval":0.195475,"RuBQReranking":0.7709527141282384,"STSES":0.76058,"WikiClusteringP2P.v2":0.25854571428571427,"FinParaSTS":0.11892799999999999,"OpusparcusPC":0.94703275,"CataloniaTweetClassification":0.51485075,"GermanSTSBenchmark":0.812241,"SwissJudgementClassification":0.564863,"MLQARetrieval":0.7061384693877552,"SwednClusteringP2P":0.214653,"DBpediaClassification":0.886914,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.269815,"WikipediaRetrievalMultilingual":0.90826875,"ArguAna":0.70074,"MIRACLRetrievalHardNegatives":0.5554238888888889,"IsiZuluNewsClassification":0.292952,"DiaBlaBitextMining":0.859999,"LegalBenchCorporateLobbying":0.95203,"EstonianValenceClassification":0.326528,"SinhalaNewsClassification":0.53999,"SprintDuplicateQuestions":0.9709194643777883,"CovidRetrieval":0.59205,"IndicCrosslingualSTS":0.13376316666666668,"Core17InstructionRetrieval":0.032103,"RTE3":0.8865385,"BibleNLPBitextMining":0.09427139311594203,"AfriSentiClassification":0.4313656666666667,"PAC":0.671127,"VoyageMMarcoReranking":0.630234,"GreekLegalCodeClassification":0.101636,"KurdishSentimentClassification":0.656316,"Robust04InstructionRetrieval":-0.016704,"TERRa":0.6028542256247589,"indonli":0.504789,"SpartQA":0.11514,"SentimentAnalysisHindi":0.549665,"ItaCaseholdClassification":0.437104,"OdiaNewsClassification":0.595214,"MasakhaNEWSClassification":0.6252474375,"FinancialPhrasebankClassification":0.783039,"ArXivHierarchicalClusteringP2P":0.602787,"CLSClusteringP2P.v2":0.354904,"CTKFactsNLI":0.7879609999999999,"JSICK":0.796515,"STSB":0.7755105,"FloresBitextMining":0.41813602407514733,"MacedonianTweetSentimentClassification":0.47691,"TweetTopicSingleClassification":0.638866,"SIB200ClusteringS2S":0.12592018274111674,"HALClusteringS2S.v2":0.21673,"BulgarianStoreReviewSentimentClassfication":0.659341,"CzechProductReviewSentimentClassification":0.563721,"PawsXPairClassification":0.5556128571428571,"FilipinoShopeeReviewsClassification":0.3679685,"SemRel24STS":0.591533,"BigPatentClustering.v2":0.227047,"ArXivHierarchicalClusteringS2S":0.592447,"AILAStatutes":0.31582,"MultiHateClassification":0.6245090909090909,"MasakhaNEWSClusteringS2S":0.3816398125,"DalajClassification":0.50214,"T2Reranking":0.666383,"WebLINXCandidatesReranking":0.11936383333333334,"KorSarcasmClassification":0.56416,"NusaX-senti":0.6342916666666667,"StackExchangeClustering.v2":0.550391,"Tatoeba":0.6300081517857142,"PolEmo2.0-OUT":0.387045,"RomaniBibleClustering":0.373127,"STS22.v2":0.6140383333333334,"PoemSentimentClassification":0.5525454999999999,"IndicGenBenchFloresBitextMining":0.6224907068965517},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":48,"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":{"STS":0.7297650422979798,"Clustering":0.43858523219667783,"PairClassification":0.787224316017316,"Reranking":0.620153469266272,"Retrieval":0.5569129152527835,"InstructionReranking":-0.03477766666666667,"BitextMining":0.7609840282505057,"MultilabelClassification":0.21404021739130435},"scoresByTask":{"ScalaClassification":0.5067995,"IndonesianIdClickbaitClassification":0.606588,"SICK-R":0.78227,"SCIDOCS":0.20431,"PunjabiNewsClassification":0.805096,"AlloProfClusteringS2S.v2":0.388797,"SlovakMovieReviewSentimentClassification":0.721826,"WikipediaRerankingMultilingual":0.9017364375,"NTREXBitextMining":0.9133261795407098,"NusaParagraphEmotionClassification":0.4572476,"MassiveIntentClassification":0.6277484019607843,"STS13":0.793187,"CyrillicTurkicLangClassification":0.556055,"CSFDSKMovieReviewSentimentClassification":0.358594,"XNLI":0.7305925714285715,"CEDRClassification":0.456695,"WinoGrande":0.47456,"IN22GenBitextMining":0.768223766798419,"NusaTranslationBitextMining":0.7760257272727272,"TwitterURLCorpus":0.860346,"PpcPC":0.911889,"TwitterHjerneRetrieval":0.75412,"MalteseNewsClassification":0.277928,"STS12":0.734113,"LEMBPasskeyRetrieval":0.3475,"BUCC.v2":0.98939525,"SwahiliNewsClassification":0.610156,"BiorxivClusteringP2P.v2":0.39399,"STS14":0.778392,"BornholmBitextMining":0.449444,"FaroeseSTS":0.726873,"WikiCitiesClustering":0.860362,"NusaXBitextMining":0.7812315454545455,"STSBenchmark":0.835086,"StackOverflowQA":0.86063,"MultiEURLEXMultilabelClassification":0.05126608695652174,"NorwegianCourtsBitextMining":0.944737,"PlscClusteringP2P.v2":0.713275,"ToxicConversationsClassification":0.659668,"BrazilianToxicTweetsClassification":0.187061,"IndicLangClassification":0.267664,"News21InstructionRetrieval":-0.005458,"GujaratiNewsClassification":0.792868,"SiswatiNewsClassification":0.65,"STS17":0.8244014545454544,"NollySentiBitextMining":0.71518325,"STS15":0.868678,"TempReasonL1":0.01076,"MedrxivClusteringP2P.v2":0.364499,"TRECCOVID":0.61867,"NepaliNewsClassification":0.940967,"ArmenianParaphrasePC":0.957359,"AmazonCounterfactualClassification":0.749076875,"KorHateSpeechMLClassification":0.097251,"BelebeleRetrieval":0.7945721542553192,"AlloprofReranking":0.648770878097632,"NordicLangClassification":0.657033,"StatcanDialogueDatasetRetrieval":0.217125,"RuBQReranking":0.720917,"STSES":0.763617,"WikiClusteringP2P.v2":0.27660707142857144,"FinParaSTS":0.2376355,"OpusparcusPC":0.9473463333333334,"CataloniaTweetClassification":0.5013995,"GermanSTSBenchmark":0.812426,"SwissJudgementClassification":0.5438523333333333,"MLQARetrieval":0.7407529591836735,"SwednClusteringP2P":0.3662875,"DBpediaClassification":0.901514,"HagridRetrieval":0.98841,"TswanaNewsClassification":0.482752,"WikipediaRetrievalMultilingual":0.90806125,"ArguAna":0.56925,"MIRACLRetrievalHardNegatives":0.5813311111111111,"IsiZuluNewsClassification":0.339628,"DiaBlaBitextMining":0.869651,"LegalBenchCorporateLobbying":0.92752,"EstonianValenceClassification":0.403545,"SinhalaNewsClassification":0.722705,"SprintDuplicateQuestions":0.923772,"CovidRetrieval":0.71261,"IndicCrosslingualSTS":0.5305509166666666,"Core17InstructionRetrieval":-0.015173,"RTE3":0.8725965,"BibleNLPBitextMining":0.18015542512077293,"AfriSentiClassification":0.46070966666666663,"PAC":0.673212,"VoyageMMarcoReranking":0.685484,"GreekLegalCodeClassification":0.43864749999999997,"KurdishSentimentClassification":0.791394,"Robust04InstructionRetrieval":-0.083702,"TERRa":0.583542,"indonli":0.521832,"SpartQA":0.02506,"SentimentAnalysisHindi":0.628924,"ItaCaseholdClassification":0.695928,"OdiaNewsClassification":0.808595,"FinancialPhrasebankClassification":0.815813,"ArXivHierarchicalClusteringP2P":0.568996,"CLSClusteringP2P.v2":0.371762,"CTKFactsNLI":0.7954325,"JSICK":0.79675,"STSB":0.7951904999999999,"FloresBitextMining":0.8078802239930454,"MacedonianTweetSentimentClassification":0.622125,"TweetTopicSingleClassification":0.673597,"SIB200ClusteringS2S":0.2991650812182741,"HALClusteringS2S.v2":0.251969,"BulgarianStoreReviewSentimentClassfication":0.618132,"CzechProductReviewSentimentClassification":0.566602,"PawsXPairClassification":0.5547595714285715,"FilipinoShopeeReviewsClassification":0.35690900000000003,"SemRel24STS":0.6879189166666667,"BigPatentClustering.v2":0.32825,"ArXivHierarchicalClusteringS2S":0.547207,"AILAStatutes":0.28919,"MultiHateClassification":0.6311090909090908,"MasakhaNEWSClusteringS2S":0.4043500625,"DalajClassification":0.498874,"T2Reranking":0.662578,"WebLINXCandidatesReranking":0.1014345,"KorSarcasmClassification":0.573975,"NusaX-senti":0.6998958333333333,"StackExchangeClustering.v2":0.474778,"Tatoeba":0.8046549732142857,"PolEmo2.0-OUT":0.424696,"RomaniBibleClustering":0.407069,"STS22.v2":0.709151388888889,"PoemSentimentClassification":0.5029075,"IndicGenBenchFloresBitextMining":0.8928840258620689},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":49,"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":0.5845948037547056,"meanTaskType":0.5191440295096625,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6996554466540404,"Classification":0.5854257133249388,"Clustering":0.45868247169880805,"PairClassification":0.7597030746753245,"Reranking":0.6416097534722222,"Retrieval":0.6400839479938942,"InstructionReranking":0.06495066666666667,"BitextMining":0.6051906954488947,"MultilabelClassification":0.21699449565217394},"scoresByTask":{"ScalaClassification":0.5056032500000001,"IndonesianIdClickbaitClassification":0.611723,"SICK-R":0.794101,"SCIDOCS":0.21344,"PunjabiNewsClassification":0.836943,"AlloProfClusteringS2S.v2":0.510298,"SlovakMovieReviewSentimentClassification":0.755664,"WikipediaRerankingMultilingual":0.9155971875,"NTREXBitextMining":0.6866626466597078,"NusaParagraphEmotionClassification":0.4395716,"MassiveIntentClassification":0.5547175294117647,"STS13":0.829891,"CyrillicTurkicLangClassification":0.412891,"CSFDSKMovieReviewSentimentClassification":0.374268,"XNLI":0.6521152142857144,"CEDRClassification":0.37933,"WinoGrande":0.46044,"IN22GenBitextMining":0.6778322450592885,"NusaTranslationBitextMining":0.6026391818181818,"TwitterURLCorpus":0.850067,"PpcPC":0.878549,"TwitterHjerneRetrieval":0.85327,"MalteseNewsClassification":0.337919,"STS12":0.701112,"LEMBPasskeyRetrieval":0.965,"BUCC.v2":0.9818565,"SwahiliNewsClassification":0.614209,"BiorxivClusteringP2P.v2":0.410494,"STS14":0.769845,"BornholmBitextMining":0.424005,"FaroeseSTS":0.735325,"WikiCitiesClustering":0.852421,"NusaXBitextMining":0.5340570909090908,"STSBenchmark":0.822799,"StackOverflowQA":0.94657,"MultiEURLEXMultilabelClassification":0.042163478260869566,"NorwegianCourtsBitextMining":0.929825,"PlscClusteringP2P.v2":0.704998,"ToxicConversationsClassification":0.646582,"BrazilianToxicTweetsClassification":0.230469,"IndicLangClassification":0.285515,"News21InstructionRetrieval":0.072886,"GujaratiNewsClassification":0.848027,"SiswatiNewsClassification":0.5775,"STS17":0.7784700909090909,"NollySentiBitextMining":0.317489,"STS15":0.828124,"TempReasonL1":0.01555,"MedrxivClusteringP2P.v2":0.372505,"TRECCOVID":0.80949,"NepaliNewsClassification":0.95625,"ArmenianParaphrasePC":0.944034,"AmazonCounterfactualClassification":0.66984175,"KorHateSpeechMLClassification":0.095091,"BelebeleRetrieval":0.7557094680851064,"AlloprofReranking":0.806555,"NordicLangClassification":0.479433,"StatcanDialogueDatasetRetrieval":0.4298075,"RuBQReranking":0.736916,"STSES":0.746917,"WikiClusteringP2P.v2":0.27792735714285716,"FinParaSTS":0.2615875,"OpusparcusPC":0.9373625,"CataloniaTweetClassification":0.50765525,"GermanSTSBenchmark":0.7621315,"SwissJudgementClassification":0.6081046666666666,"MLQARetrieval":0.7578317346938775,"SwednClusteringP2P":0.38545050000000003,"DBpediaClassification":0.91582,"HagridRetrieval":0.9897,"TswanaNewsClassification":0.400616,"WikipediaRetrievalMultilingual":0.92249625,"ArguAna":0.50827,"MIRACLRetrievalHardNegatives":0.5924761111111111,"IsiZuluNewsClassification":0.255186,"DiaBlaBitextMining":0.784701,"LegalBenchCorporateLobbying":0.95318,"EstonianValenceClassification":0.432152,"SinhalaNewsClassification":0.704395,"SprintDuplicateQuestions":0.870956,"CovidRetrieval":0.80456,"IndicCrosslingualSTS":0.3141649166666667,"Core17InstructionRetrieval":0.107018,"RTE3":0.86717775,"BibleNLPBitextMining":0.08837941968599035,"AfriSentiClassification":0.42385349999999994,"PAC":0.661801,"VoyageMMarcoReranking":0.615265,"GreekLegalCodeClassification":0.38566900000000004,"KurdishSentimentClassification":0.719426,"Robust04InstructionRetrieval":0.014948,"TERRa":0.522508,"indonli":0.509304,"SpartQA":0.06551,"SentimentAnalysisHindi":0.543754,"ItaCaseholdClassification":0.620814,"OdiaNewsClassification":0.772487,"MasakhaNEWSClassification":0.7666646875,"FinancialPhrasebankClassification":0.80667,"ArXivHierarchicalClusteringP2P":0.559564,"CLSClusteringP2P.v2":0.403868,"CTKFactsNLI":0.756685,"JSICK":0.782563,"STSB":0.7089705,"FloresBitextMining":0.4960851500531247,"MacedonianTweetSentimentClassification":0.563652,"TweetTopicSingleClassification":0.734141,"SIB200ClusteringS2S":0.32004450253807104,"HALClusteringS2S.v2":0.273272,"BulgarianStoreReviewSentimentClassfication":0.632967,"CzechProductReviewSentimentClassification":0.52832,"PawsXPairClassification":0.5679753571428571,"FilipinoShopeeReviewsClassification":0.34797350000000005,"SemRel24STS":0.6482670833333334,"BigPatentClustering.v2":0.283775,"ArXivHierarchicalClusteringS2S":0.559096,"AILAStatutes":0.47821,"MultiHateClassification":0.6343272727272727,"MasakhaNEWSClusteringS2S":0.43662018750000003,"DalajClassification":0.500901,"T2Reranking":0.662549,"WebLINXCandidatesReranking":0.11277633333333333,"KorSarcasmClassification":0.572559,"NusaX-senti":0.6629166666666667,"StackExchangeClustering.v2":0.584788,"Tatoeba":0.5926773928571428,"PolEmo2.0-OUT":0.394534,"RomaniBibleClustering":0.403798,"STS22.v2":0.7102185555555556,"PoemSentimentClassification":0.507207,"IndicGenBenchFloresBitextMining":0.7512694137931034},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":50,"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":{"STS":0.771301676390377,"Classification":0.5876977226172645,"Clustering":0.45649848336266624,"PairClassification":0.7927068189210605,"Reranking":0.5708685213114758,"Retrieval":0.557616827224487,"InstructionReranking":-0.013383596226675997,"BitextMining":0.6525122337025727,"MultilabelClassification":0.18379392385318002},"scoresByTask":{"ScalaClassification":0.50167236328125,"IndonesianIdClickbaitClassification":0.581498923939676,"SICK-R":0.896184310325287,"SCIDOCS":0.1992,"PunjabiNewsClassification":0.7745222929936306,"AlloProfClusteringS2S.v2":0.4467655078318857,"SlovakMovieReviewSentimentClassification":0.84326171875,"WikipediaRerankingMultilingual":0.7781227347883598,"NTREXBitextMining":0.7829088031914911,"NusaParagraphEmotionClassification":0.42223784201278053,"MassiveIntentClassification":0.6847285534620713,"STS13":0.8948997027157911,"CyrillicTurkicLangClassification":0.433056640625,"CSFDSKMovieReviewSentimentClassification":0.391357421875,"XNLI":0.7372577107314753,"CEDRClassification":0.4741764080765143,"WinoGrande":0.1857,"IN22GenBitextMining":0.727888751050791,"NusaTranslationBitextMining":0.623318024149037,"TwitterURLCorpus":0.8414377403934505,"PpcPC":0.9142651443320569,"TwitterHjerneRetrieval":0.73015,"MalteseNewsClassification":0.12664344797562038,"STS12":0.8243843925205465,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.9839877433553733,"SwahiliNewsClassification":0.56240234375,"BiorxivClusteringP2P.v2":0.39969707713049957,"STS14":0.8495370207075369,"BornholmBitextMining":0.37276666666666664,"FaroeseSTS":0.8081871117320545,"WikiCitiesClustering":0.8532015240783812,"NusaXBitextMining":0.6421556499219255,"STSBenchmark":0.8942710598569711,"StackOverflowQA":0.90794,"MultiEURLEXMultilabelClassification":0.01499391304347826,"NorwegianCourtsBitextMining":0.9261695906432749,"PlscClusteringP2P.v2":0.7153158862268262,"ToxicConversationsClassification":0.912744140625,"BrazilianToxicTweetsClassification":0.197412109375,"IndicLangClassification":0.1804194884607798,"News21InstructionRetrieval":0.023559975288696362,"GujaratiNewsClassification":0.8622913505311077,"SiswatiNewsClassification":0.5137499999999999,"STS17":0.8593804335071763,"NollySentiBitextMining":0.33194984574844777,"STS15":0.8931983553904262,"TempReasonL1":0.00575,"MedrxivClusteringP2P.v2":0.3816461321424296,"TRECCOVID":0.77742,"NepaliNewsClassification":0.934423828125,"ArmenianParaphrasePC":0.9580568147862285,"AmazonCounterfactualClassification":0.9217312299199567,"KorHateSpeechMLClassification":0.10574374079528719,"BelebeleRetrieval":0.7341020212765957,"AlloprofReranking":0.7292786802385444,"NordicLangClassification":0.4086666666666667,"StatcanDialogueDatasetRetrieval":0.39197,"RuBQReranking":0.6555799604667903,"STSES":0.7786980293198451,"WikiClusteringP2P.v2":0.27778759617858545,"FinParaSTS":0.22378369514955132,"OpusparcusPC":0.9458082266012271,"CataloniaTweetClassification":0.4508625,"GermanSTSBenchmark":0.878718136424015,"SwissJudgementClassification":0.5509326237283226,"MLQARetrieval":0.7339366326530613,"SwednClusteringP2P":0.26784391620272474,"DBpediaClassification":0.760546875,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.2585215605749487,"WikipediaRetrievalMultilingual":0.891348125,"ArguAna":0.43288,"MIRACLRetrievalHardNegatives":0.6257661111111111,"IsiZuluNewsClassification":0.2081117021276596,"DiaBlaBitextMining":0.8514483689588075,"LegalBenchCorporateLobbying":0.93431,"EstonianValenceClassification":0.4880195599022005,"SinhalaNewsClassification":0.743017578125,"SprintDuplicateQuestions":0.9700074479088465,"CovidRetrieval":0.78546,"IndicCrosslingualSTS":0.5466261773788955,"Core17InstructionRetrieval":-0.0006006880001947074,"RTE3":0.8811597477151394,"BibleNLPBitextMining":0.1053904617809526,"AfriSentiClassification":0.42801209261640993,"PAC":0.6922096727483348,"VoyageMMarcoReranking":0.5076418517372003,"GreekLegalCodeClassification":0.1157958984375,"KurdishSentimentClassification":0.5760442878711626,"Robust04InstructionRetrieval":-0.06311007596852965,"TERRa":0.5921573978021274,"indonli":0.5439457872844693,"SpartQA":0.0065,"SentimentAnalysisHindi":0.6571603264331195,"ItaCaseholdClassification":0.6280542986425339,"OdiaNewsClassification":0.8136061920798792,"MasakhaNEWSClassification":0.7148168473659897,"FinancialPhrasebankClassification":0.7950088339222614,"ArXivHierarchicalClusteringP2P":0.5892914985808295,"CLSClusteringP2P.v2":0.3940192795763958,"CTKFactsNLI":0.7915245898978892,"JSICK":0.7816101828927973,"STSB":0.854102691003267,"FloresBitextMining":0.5529046521924518,"MacedonianTweetSentimentClassification":0.6119402985074627,"TweetTopicSingleClassification":0.570584760779681,"SIB200ClusteringS2S":0.3203424515762365,"HALClusteringS2S.v2":0.2926211186445843,"BulgarianStoreReviewSentimentClassfication":0.7604395604395604,"CzechProductReviewSentimentClassification":0.619091796875,"PawsXPairClassification":0.5441544006787563,"FilipinoShopeeReviewsClassification":0.3847900390625,"SemRel24STS":0.645808468036827,"BigPatentClustering.v2":0.3713039996033536,"ArXivHierarchicalClusteringS2S":0.5594901652486779,"AILAStatutes":0.32773,"MultiHateClassification":0.6033818181818181,"MasakhaNEWSClusteringS2S":0.4615721454084101,"DalajClassification":0.5012387387387387,"T2Reranking":0.6561451899350483,"WebLINXCandidatesReranking":0.09844271070291133,"KorSarcasmClassification":0.562109375,"NusaX-senti":0.6602291666666666,"StackExchangeClustering.v2":0.5671926940250415,"Tatoeba":0.7112976577833562,"PolEmo2.0-OUT":0.597165991902834,"RomaniBibleClustering":0.4058847413477982,"STS22.v2":0.7114370552850424,"PoemSentimentClassification":0.5905448717948718,"IndicGenBenchFloresBitextMining":0.8704728226908693},"scoresByCustomGroup":{},"trainedOnTasks":["STS12"],"experiments":null},{"rank":51,"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":{"STS":0.7411799476842144,"Classification":0.60348643517409,"Clustering":0.40878518378897355,"PairClassification":0.8076403656988344,"Reranking":0.6278649295178697,"Retrieval":0.5459152655386426,"InstructionReranking":-0.031102328698400197,"MultilabelClassification":0.20097051669645744},"scoresByTask":{"ScalaClassification":0.5042968750000001,"IndonesianIdClickbaitClassification":0.5981558534828536,"SICK-R":0.7971643426941272,"SCIDOCS":0.16308,"PunjabiNewsClassification":0.8184713375796179,"AlloProfClusteringS2S.v2":0.3619216344495169,"SlovakMovieReviewSentimentClassification":0.8234375,"WikipediaRerankingMultilingual":0.8859673115079365,"NTREXBitextMining":0.8875352501971301,"NusaParagraphEmotionClassification":0.43249264275533356,"MassiveIntentClassification":0.6411372549019608,"STS13":0.7959845218249569,"CyrillicTurkicLangClassification":0.465771484375,"CSFDSKMovieReviewSentimentClassification":0.383984375,"XNLI":0.8042925357142857,"CEDRClassification":0.4346971307120085,"WinoGrande":0.41723,"IN22GenBitextMining":0.7707218368297666,"NusaTranslationBitextMining":0.7667073990544376,"TwitterURLCorpus":0.8589385623646721,"PpcPC":0.922932779559589,"TwitterHjerneRetrieval":0.37823,"MalteseNewsClassification":0.22673051806704397,"STS12":0.7873342460860246,"LEMBPasskeyRetrieval":0.59,"BUCC.v2":0.9871393318310167,"SwahiliNewsClassification":0.614453125,"BiorxivClusteringP2P.v2":0.3412341045015362,"STS14":0.7900172058630167,"BornholmBitextMining":0.4411047619047619,"FaroeseSTS":0.7780087894521951,"WikiCitiesClustering":0.7246461319371534,"NusaXBitextMining":0.7245709770429696,"STSBenchmark":0.8486928980149938,"StackOverflowQA":0.80597,"MultiEURLEXMultilabelClassification":0.03624434782608696,"NorwegianCourtsBitextMining":0.9444444444444445,"PlscClusteringP2P.v2":0.7086867101152514,"ToxicConversationsClassification":0.687158203125,"BrazilianToxicTweetsClassification":0.19755859375,"IndicLangClassification":0.2080380038135315,"News21InstructionRetrieval":-0.013922666099468859,"GujaratiNewsClassification":0.8262518968133536,"SiswatiNewsClassification":0.6,"STS17":0.7964601701719772,"NollySentiBitextMining":0.5617627062656877,"STS15":0.8781467178456492,"TempReasonL1":0.00989,"MedrxivClusteringP2P.v2":0.3386894009350974,"TRECCOVID":0.54722,"NepaliNewsClassification":0.92763671875,"ArmenianParaphrasePC":0.9628934668895,"AmazonCounterfactualClassification":0.7473963117418877,"KorHateSpeechMLClassification":0.10962199312714778,"BelebeleRetrieval":0.7815855053191489,"AlloprofReranking":0.7386611217407191,"NordicLangClassification":0.3893,"StatcanDialogueDatasetRetrieval":0.2186025,"RuBQReranking":0.7402919214478741,"STSES":0.7750423747965199,"WikiClusteringP2P.v2":0.2698172232695978,"FinParaSTS":0.30431328782408107,"OpusparcusPC":0.9467489348065071,"CataloniaTweetClassification":0.4903125,"GermanSTSBenchmark":0.8211890464850575,"SwissJudgementClassification":0.547834739268431,"MLQARetrieval":0.7480581632653062,"SwednClusteringP2P":0.3542459527969732,"DBpediaClassification":0.897021484375,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.3919917864476386,"WikipediaRetrievalMultilingual":0.8987475,"ArguAna":0.54038,"MIRACLRetrievalHardNegatives":0.6959111111111111,"IsiZuluNewsClassification":0.30279255319148934,"DiaBlaBitextMining":0.8540150524492905,"LegalBenchCorporateLobbying":0.90342,"EstonianValenceClassification":0.43716381418092903,"SinhalaNewsClassification":0.744775390625,"SprintDuplicateQuestions":0.9732648734783681,"CovidRetrieval":0.77512,"IndicCrosslingualSTS":0.5213085085870016,"Core17InstructionRetrieval":-0.012533158568791294,"RTE3":0.8824624918344175,"AfriSentiClassification":0.4598457395838167,"PAC":0.6913119026933101,"VoyageMMarcoReranking":0.6407782329205451,"GreekLegalCodeClassification":0.3913330078125,"KurdishSentimentClassification":0.7072471061902366,"Robust04InstructionRetrieval":-0.06685116142694043,"TERRa":0.6060381782240654,"indonli":0.5600241047485994,"SpartQA":0.07492,"SentimentAnalysisHindi":0.6636414468747696,"ItaCaseholdClassification":0.6773755656108598,"OdiaNewsClassification":0.8235565251185845,"MasakhaNEWSClassification":0.7566331875,"FinancialPhrasebankClassification":0.8186837455830389,"ArXivHierarchicalClusteringP2P":0.5279810320966879,"CLSClusteringP2P.v2":0.3747996308379785,"CTKFactsNLI":0.8093851165173471,"JSICK":0.7921412178476995,"STSB":0.818995399726979,"FloresBitextMining":0.7379408480633632,"MacedonianTweetSentimentClassification":0.6343283582089552,"TweetTopicSingleClassification":0.677613703484938,"SIB200ClusteringS2S":0.25621221827411167,"HALClusteringS2S.v2":0.23742325127919153,"BulgarianStoreReviewSentimentClassfication":0.7175824175824175,"CzechProductReviewSentimentClassification":0.609765625,"PawsXPairClassification":0.5570629785498282,"FilipinoShopeeReviewsClassification":0.3676025390625,"SemRel24STS":0.6538084262632565,"BigPatentClustering.v2":0.2920004527728074,"ArXivHierarchicalClusteringS2S":0.5042344785604722,"AILAStatutes":0.29042,"MultiHateClassification":0.6123363636363637,"MasakhaNEWSClusteringS2S":0.4064460696004453,"DalajClassification":0.4986486486486486,"T2Reranking":0.6682958692252711,"WebLINXCandidatesReranking":0.09319512026487183,"KorSarcasmClassification":0.5671875,"NusaX-senti":0.722,"StackExchangeClustering.v2":0.43975467999381834,"Tatoeba":0.7375696339285714,"PolEmo2.0-OUT":0.4947368421052632,"RomaniBibleClustering":0.4024699692029377,"STS22.v2":0.700272009463895,"PoemSentimentClassification":0.5786126373626375,"IndicGenBenchFloresBitextMining":0.8847130878481941},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":52,"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":{"STS":0.7285476442903629,"PairClassification":0.8049352147462255,"InstructionReranking":-0.007424547557030796},"scoresByTask":{"ScalaClassification":0.50093994140625,"IndonesianIdClickbaitClassification":0.5968661150403338,"SICK-R":0.7934202518512105,"SCIDOCS":0.18257,"PunjabiNewsClassification":0.8108280254777072,"AlloProfClusteringS2S.v2":0.4422861762265864,"SlovakMovieReviewSentimentClassification":0.65390625,"NTREXBitextMining":0.8543135345812296,"NusaParagraphEmotionClassification":0.42352090265704023,"STS13":0.8555376747969323,"CyrillicTurkicLangClassification":0.327734375,"CSFDSKMovieReviewSentimentClassification":0.32275390625,"XNLI":0.7863687457708363,"CEDRClassification":0.4163124335812965,"WinoGrande":0.42207,"IN22GenBitextMining":0.7293768411897597,"NusaTranslationBitextMining":0.7362313710548947,"TwitterURLCorpus":0.8541579134030077,"PpcPC":0.9243434559495841,"TwitterHjerneRetrieval":0.6892,"MalteseNewsClassification":0.28175881584675666,"STS12":0.7750749639238503,"LEMBPasskeyRetrieval":0.555,"BUCC.v2":0.9842550796913565,"SwahiliNewsClassification":0.571240234375,"BiorxivClusteringP2P.v2":0.39660852705122057,"STS14":0.816756953287287,"BornholmBitextMining":0.4432857142857143,"FaroeseSTS":0.7171043504672766,"WikiCitiesClustering":0.8354162940235061,"NusaXBitextMining":0.662877700582246,"STSBenchmark":0.864554908309818,"StackOverflowQA":0.87081,"NorwegianCourtsBitextMining":0.9298245614035088,"PlscClusteringP2P.v2":0.7089730962408101,"ToxicConversationsClassification":0.68310546875,"BrazilianToxicTweetsClassification":0.1802734375,"IndicLangClassification":0.12448221447826946,"News21InstructionRetrieval":0.012460912600446166,"GujaratiNewsClassification":0.8477238239757208,"SiswatiNewsClassification":0.5987499999999999,"STS17":0.8258805312157542,"NollySentiBitextMining":0.608645338401436,"STS15":0.8894403930558215,"TempReasonL1":0.01084,"MedrxivClusteringP2P.v2":0.36920965436201,"TRECCOVID":0.57668,"NepaliNewsClassification":0.931591796875,"ArmenianParaphrasePC":0.945295312187127,"AmazonCounterfactualClassification":0.712711769970824,"KorHateSpeechMLClassification":0.09651448208149238,"AlloprofReranking":0.7507543109356692,"NordicLangClassification":0.34006666666666663,"StatcanDialogueDatasetRetrieval":0.217355,"RuBQReranking":0.7104367094472374,"STSES":0.7077059615617489,"WikiClusteringP2P.v2":0.26989315587934626,"FinParaSTS":0.19899749832034094,"OpusparcusPC":0.9371008010831484,"CataloniaTweetClassification":0.487575,"GermanSTSBenchmark":0.830706756621252,"SwissJudgementClassification":0.5635159238743469,"MLQARetrieval":0.721895918367347,"SwednClusteringP2P":0.2974442245689869,"DBpediaClassification":0.87431640625,"HagridRetrieval":0.98545,"TswanaNewsClassification":0.4529774127310061,"ArguAna":0.58284,"MIRACLRetrievalHardNegatives":0.6417405555555555,"IsiZuluNewsClassification":0.3313829787234043,"DiaBlaBitextMining":0.8447879644904698,"LegalBenchCorporateLobbying":0.90547,"EstonianValenceClassification":0.3907090464547677,"SinhalaNewsClassification":0.744580078125,"SprintDuplicateQuestions":0.9545486732659925,"CovidRetrieval":0.80614,"IndicCrosslingualSTS":0.4136584389092463,"Core17InstructionRetrieval":0.02019801127002012,"RTE3":0.8805270804977041,"BibleNLPBitextMining":0.14096200102746156,"AfriSentiClassification":0.41423410724648174,"PAC":0.66956269910223,"VoyageMMarcoReranking":0.5774158598617879,"GreekLegalCodeClassification":0.384228515625,"KurdishSentimentClassification":0.666985405133367,"Robust04InstructionRetrieval":-0.054932566541558675,"TERRa":0.6576051448897164,"indonli":0.5531448810862225,"SpartQA":0.05286,"SentimentAnalysisHindi":0.5930940613684815,"ItaCaseholdClassification":0.6285067873303167,"OdiaNewsClassification":0.8058988767106612,"MasakhaNEWSClassification":0.7833391759573689,"FinancialPhrasebankClassification":0.8010159010600706,"ArXivHierarchicalClusteringP2P":0.5799437291346836,"CLSClusteringP2P.v2":0.36930527026523097,"CTKFactsNLI":0.8057848310359695,"JSICK":0.8008282435699906,"STSB":0.8269553867913557,"FloresBitextMining":0.850191689268811,"MacedonianTweetSentimentClassification":0.5326602282704126,"TweetTopicSingleClassification":0.7021854695806262,"HALClusteringS2S.v2":0.2587842871849939,"BulgarianStoreReviewSentimentClassfication":0.6434065934065935,"CzechProductReviewSentimentClassification":0.5529296875,"PawsXPairClassification":0.5554105230391742,"FilipinoShopeeReviewsClassification":0.3199462890625,"SemRel24STS":0.6522819384023778,"BigPatentClustering.v2":0.32659002018707006,"ArXivHierarchicalClusteringS2S":0.5794172192774746,"AILAStatutes":0.33572,"MasakhaNEWSClusteringS2S":0.4570058771632867,"DalajClassification":0.4995495495495496,"T2Reranking":0.6708883460286066,"WebLINXCandidatesReranking":0.1074419652352538,"KorSarcasmClassification":0.54921875,"NusaX-senti":0.658,"StackExchangeClustering.v2":0.5191497256515774,"PolEmo2.0-OUT":0.3848178137651822,"RomaniBibleClustering":0.4264871157600716,"STS22.v2":0.6878580575615442,"PoemSentimentClassification":0.5263919413919413,"IndicGenBenchFloresBitextMining":0.8666601966111531},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":53,"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":{"PairClassification":0.7769867982994983,"Reranking":0.6058763882802833,"Retrieval":0.5416548988470488,"InstructionReranking":-0.014962666666666668,"BitextMining":0.6477278324656607,"MultilabelClassification":0.20674274158850436},"scoresByTask":{"ScalaClassification":0.50417475,"IndonesianIdClickbaitClassification":0.600754,"SICK-R":0.7992986896006748,"SCIDOCS":0.20241,"PunjabiNewsClassification":0.741401,"AlloProfClusteringS2S.v2":0.499975,"SlovakMovieReviewSentimentClassification":0.587744,"WikipediaRerankingMultilingual":0.8554763125,"NTREXBitextMining":0.7394224436325679,"NusaParagraphEmotionClassification":0.3891208,"MassiveIntentClassification":0.5095885490196078,"STS13":0.8486841413445535,"CyrillicTurkicLangClassification":0.492139,"CSFDSKMovieReviewSentimentClassification":0.265039,"XNLI":0.7216891071428571,"CEDRClassification":0.4215727948990436,"WinoGrande":0.29914,"IN22GenBitextMining":0.6285447193675889,"NusaTranslationBitextMining":0.7418867272727273,"TwitterURLCorpus":0.8674895762701595,"PpcPC":0.8718435695095992,"TwitterHjerneRetrieval":0.23295,"MalteseNewsClassification":0.291554,"STS12":0.7666847347731301,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.9858885,"SwahiliNewsClassification":0.590869,"BiorxivClusteringP2P.v2":0.372009,"STS14":0.8010636060670153,"BornholmBitextMining":0.428638,"FaroeseSTS":0.703541,"WikiCitiesClustering":0.844755,"NusaXBitextMining":0.6173676363636363,"STSBenchmark":0.8606896054399278,"StackOverflowQA":0.92367,"MultiEURLEXMultilabelClassification":0.045453913043478254,"NorwegianCourtsBitextMining":0.931287,"PlscClusteringP2P.v2":0.702789,"ToxicConversationsClassification":0.70810546875,"BrazilianToxicTweetsClassification":0.186768,"IndicLangClassification":0.676511,"News21InstructionRetrieval":-0.000674,"GujaratiNewsClassification":0.730425,"SiswatiNewsClassification":0.5925,"NollySentiBitextMining":0.516431,"STS15":0.8869670049389599,"TempReasonL1":0.01963,"MedrxivClusteringP2P.v2":0.342933,"TRECCOVID":0.78374,"NepaliNewsClassification":0.941064,"ArmenianParaphrasePC":0.932777,"AmazonCounterfactualClassification":0.725132125,"KorHateSpeechMLClassification":0.088365,"BelebeleRetrieval":0.6745883776595745,"AlloprofReranking":0.7405051363767075,"NordicLangClassification":0.623967,"StatcanDialogueDatasetRetrieval":0.3359725,"RuBQReranking":0.6976660332457353,"STSES":0.782375,"WikiClusteringP2P.v2":0.27250764285714285,"FinParaSTS":0.185411,"OpusparcusPC":0.9246668333333333,"CataloniaTweetClassification":0.5035115,"GermanSTSBenchmark":0.8132035,"SwissJudgementClassification":0.5479900000000001,"MLQARetrieval":0.720082857142857,"SwednClusteringP2P":0.34857649999999996,"DBpediaClassification":0.898193,"HagridRetrieval":0.98598,"TswanaNewsClassification":0.432444,"WikipediaRetrievalMultilingual":0.85872,"ArguAna":0.56713,"MIRACLRetrievalHardNegatives":0.5575344444444444,"IsiZuluNewsClassification":0.30625,"DiaBlaBitextMining":0.824189,"LegalBenchCorporateLobbying":0.92954,"EstonianValenceClassification":0.345966,"SinhalaNewsClassification":0.612988,"SprintDuplicateQuestions":0.9491386698713322,"CovidRetrieval":0.82091,"IndicCrosslingualSTS":0.18576008333333335,"Core17InstructionRetrieval":0.006015,"RTE3":0.8710465000000001,"BibleNLPBitextMining":0.1328897759661836,"AfriSentiClassification":0.4318350833333333,"PAC":0.6558934260063713,"VoyageMMarcoReranking":0.577271,"GreekLegalCodeClassification":0.32895549999999996,"KurdishSentimentClassification":0.622144,"Robust04InstructionRetrieval":-0.050229,"TERRa":0.5770599537386281,"indonli":0.522176,"SpartQA":0.10569,"SentimentAnalysisHindi":0.568485,"ItaCaseholdClassification":0.675566,"OdiaNewsClassification":0.664438,"FinancialPhrasebankClassification":0.828799,"ArXivHierarchicalClusteringP2P":0.593345,"CLSClusteringP2P.v2":0.391697,"CTKFactsNLI":0.7450065,"JSICK":0.816292,"FloresBitextMining":0.5729686801651696,"MacedonianTweetSentimentClassification":0.462599,"TweetTopicSingleClassification":0.720378,"SIB200ClusteringS2S":0.21790531472081218,"HALClusteringS2S.v2":0.254397,"BulgarianStoreReviewSentimentClassfication":0.482418,"CzechProductReviewSentimentClassification":0.47666,"PawsXPairClassification":0.5639610714285714,"FilipinoShopeeReviewsClassification":0.289429,"SemRel24STS":0.6390488333333334,"BigPatentClustering.v2":0.311965,"ArXivHierarchicalClusteringS2S":0.554429,"AILAStatutes":0.3471,"MultiHateClassification":0.6059272727272728,"DalajClassification":0.502027,"T2Reranking":0.6650583475592573,"WebLINXCandidatesReranking":0.09928150000000001,"KorSarcasmClassification":0.549072,"NusaX-senti":0.6268541666666666,"StackExchangeClustering.v2":0.575793,"Tatoeba":0.5065173392857143,"PolEmo2.0-OUT":0.561336032388664,"RomaniBibleClustering":0.413084,"STS22.v2":0.7002722777777778,"PoemSentimentClassification":0.544565,"IndicGenBenchFloresBitextMining":0.7944310000000001},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":54,"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":{"PairClassification":0.7744262995668533,"Reranking":0.5940896438754216,"Retrieval":0.5295659288039487,"InstructionReranking":-0.038393666666666666,"BitextMining":0.6997808672833231,"MultilabelClassification":0.2067780695652174},"scoresByTask":{"ScalaClassification":0.505115,"IndonesianIdClickbaitClassification":0.58612,"SICK-R":0.7949310740723677,"SCIDOCS":0.16927,"PunjabiNewsClassification":0.798726,"AlloProfClusteringS2S.v2":0.465156,"SlovakMovieReviewSentimentClassification":0.640576,"WikipediaRerankingMultilingual":0.857396625,"NTREXBitextMining":0.8737528136743214,"NusaParagraphEmotionClassification":0.41993290000000005,"MassiveIntentClassification":0.590986568627451,"STS13":0.8470010174539925,"CyrillicTurkicLangClassification":0.563623,"CSFDSKMovieReviewSentimentClassification":0.304492,"XNLI":0.6988476071428572,"CEDRClassification":0.411583,"WinoGrande":0.55183,"IN22GenBitextMining":0.7351680138339921,"NusaTranslationBitextMining":0.7342786363636363,"TwitterURLCorpus":0.8648986996838992,"PpcPC":0.864742,"TwitterHjerneRetrieval":0.64751,"MalteseNewsClassification":0.287462,"STS12":0.7959450354665624,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.982795,"SwahiliNewsClassification":0.628027,"BiorxivClusteringP2P.v2":0.380501,"STS14":0.8391546630697558,"BornholmBitextMining":0.328322,"FaroeseSTS":0.74355,"WikiCitiesClustering":0.774514,"NusaXBitextMining":0.6774936363636364,"STSBenchmark":0.8744031003802738,"StackOverflowQA":0.8422,"MultiEURLEXMultilabelClassification":0.04236434782608696,"NorwegianCourtsBitextMining":0.912281,"PlscClusteringP2P.v2":0.69133,"ToxicConversationsClassification":0.633837890625,"BrazilianToxicTweetsClassification":0.192383,"IndicLangClassification":0.328075,"News21InstructionRetrieval":-0.027424,"GujaratiNewsClassification":0.802124,"SiswatiNewsClassification":0.5875,"NollySentiBitextMining":0.57622875,"STS15":0.8987899103812357,"TempReasonL1":0.00768,"MedrxivClusteringP2P.v2":0.349347,"TRECCOVID":0.49443,"NepaliNewsClassification":0.952588,"ArmenianParaphrasePC":0.947708,"AmazonCounterfactualClassification":0.747796125,"KorHateSpeechMLClassification":0.100098,"BelebeleRetrieval":0.756231755319149,"AlloprofReranking":0.7045979049191964,"NordicLangClassification":0.747067,"StatcanDialogueDatasetRetrieval":0.16515,"RuBQReranking":0.693564,"STSES":0.81362,"WikiClusteringP2P.v2":0.26920185714285716,"FinParaSTS":0.200724,"OpusparcusPC":0.9437890000000001,"CataloniaTweetClassification":0.4982875,"GermanSTSBenchmark":0.83884,"SwissJudgementClassification":0.5507456666666667,"MLQARetrieval":0.7142401020408163,"SwednClusteringP2P":0.360221,"DBpediaClassification":0.89917,"HagridRetrieval":0.98692,"TswanaNewsClassification":0.421561,"WikipediaRetrievalMultilingual":0.86875875,"ArguAna":0.51867,"MIRACLRetrievalHardNegatives":0.5395161111111111,"IsiZuluNewsClassification":0.348005,"DiaBlaBitextMining":0.819889,"LegalBenchCorporateLobbying":0.89604,"EstonianValenceClassification":0.386064,"SinhalaNewsClassification":0.723975,"SprintDuplicateQuestions":0.9475976312657727,"CovidRetrieval":0.72647,"IndicCrosslingualSTS":0.45239175000000004,"Core17InstructionRetrieval":-0.011036,"RTE3":0.871314,"BibleNLPBitextMining":0.1485933520531401,"AfriSentiClassification":0.4578905,"PAC":0.684854,"VoyageMMarcoReranking":0.588681,"GreekLegalCodeClassification":0.326099,"KurdishSentimentClassification":0.778661,"Robust04InstructionRetrieval":-0.076721,"TERRa":0.560008,"indonli":0.507059,"SpartQA":0.06323,"SentimentAnalysisHindi":0.61298,"ItaCaseholdClassification":0.647964,"OdiaNewsClassification":0.794714,"FinancialPhrasebankClassification":0.799293,"ArXivHierarchicalClusteringP2P":0.569346,"CLSClusteringP2P.v2":0.401088,"CTKFactsNLI":0.7561085000000001,"JSICK":0.819487,"STSB":0.8244355,"FloresBitextMining":0.7448742755964455,"MacedonianTweetSentimentClassification":0.602283,"TweetTopicSingleClassification":0.708978,"SIB200ClusteringS2S":0.3121698274111675,"HALClusteringS2S.v2":0.260129,"BulgarianStoreReviewSentimentClassfication":0.607692,"CzechProductReviewSentimentClassification":0.541943,"PawsXPairClassification":0.5566168571428571,"FilipinoShopeeReviewsClassification":0.35227050000000004,"SemRel24STS":0.6693188333333334,"BigPatentClustering.v2":0.336706,"ArXivHierarchicalClusteringS2S":0.543943,"AILAStatutes":0.19904,"MultiHateClassification":0.5919272727272727,"DalajClassification":0.500676,"T2Reranking":0.645928,"WebLINXCandidatesReranking":0.07437033333333333,"KorSarcasmClassification":0.570801,"NusaX-senti":0.6845,"StackExchangeClustering.v2":0.565337,"Tatoeba":0.6925443571428571,"PolEmo2.0-OUT":0.318219,"RomaniBibleClustering":0.409507,"STS22.v2":0.6754345,"PoemSentimentClassification":0.5028935,"IndicGenBenchFloresBitextMining":0.8709304396551724},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":55,"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":{"ScalaClassification":0.51085225,"IndonesianIdClickbaitClassification":0.6121987442790695,"SICK-R":0.8023155937954839,"SCIDOCS":0.17447,"PunjabiNewsClassification":0.8070063694267515,"AlloProfClusteringS2S.v2":0.332797,"SlovakMovieReviewSentimentClassification":0.744091796875,"NTREXBitextMining":0.9140137432150314,"NusaParagraphEmotionClassification":0.41658841774889865,"MassiveIntentClassification":0.6024989803921569,"STS13":0.8155024883174237,"CyrillicTurkicLangClassification":0.408544921875,"CSFDSKMovieReviewSentimentClassification":0.348438,"XNLI":0.7511323116253975,"CEDRClassification":0.44835281615302874,"WinoGrande":0.54985,"IN22GenBitextMining":0.7674970563358843,"NusaTranslationBitextMining":0.6720261953326626,"TwitterURLCorpus":0.8582919735430881,"PpcPC":0.911595,"TwitterHjerneRetrieval":0.35219,"MalteseNewsClassification":0.239486,"STS12":0.8001977936978489,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.98780825,"SwahiliNewsClassification":0.598682,"BiorxivClusteringP2P.v2":0.372034,"STS14":0.7772248064874142,"BornholmBitextMining":0.441611,"FaroeseSTS":0.7238825717388577,"WikiCitiesClustering":0.7550409670326536,"NusaXBitextMining":0.7266705103639549,"STSBenchmark":0.8729412528181398,"StackOverflowQA":0.8889,"MultiEURLEXMultilabelClassification":0.0515904347826087,"NorwegianCourtsBitextMining":0.940351,"PlscClusteringP2P.v2":0.7160654442346245,"ToxicConversationsClassification":0.660107421875,"BrazilianToxicTweetsClassification":0.177393,"IndicLangClassification":0.20250838319416134,"News21InstructionRetrieval":-0.000595,"GujaratiNewsClassification":0.7673748103186646,"SiswatiNewsClassification":0.55375,"STS17":0.8213768001321604,"NollySentiBitextMining":0.72419275,"STS15":0.8930888242498176,"TempReasonL1":0.01144,"MedrxivClusteringP2P.v2":0.34306003127887985,"TRECCOVID":0.7115,"NepaliNewsClassification":0.88466796875,"ArmenianParaphrasePC":0.9492751875986167,"KorHateSpeechMLClassification":0.10490918016691213,"BelebeleRetrieval":0.7790888563829788,"AlloprofReranking":0.694429,"NordicLangClassification":0.8015333333333334,"StatcanDialogueDatasetRetrieval":0.10628750000000001,"RuBQReranking":0.7559529314558228,"STSES":0.8021052030021173,"WikiClusteringP2P.v2":0.2560124213863619,"FinParaSTS":0.24921500000000002,"OpusparcusPC":0.9450528333333333,"CataloniaTweetClassification":0.5040125,"GermanSTSBenchmark":0.840798,"SwissJudgementClassification":0.5361600473070006,"MLQARetrieval":0.7566102040816327,"SwednClusteringP2P":0.36914366408436133,"DBpediaClassification":0.882812,"HagridRetrieval":0.9891,"TswanaNewsClassification":0.453799,"ArguAna":0.54357,"IsiZuluNewsClassification":0.3375,"DiaBlaBitextMining":0.848343,"LegalBenchCorporateLobbying":0.89716,"EstonianValenceClassification":0.428851,"SprintDuplicateQuestions":0.9313702348755108,"CovidRetrieval":0.75614,"IndicCrosslingualSTS":0.4386616217853115,"Core17InstructionRetrieval":-0.016235,"RTE3":0.8752315,"BibleNLPBitextMining":0.1664931847826087,"AfriSentiClassification":0.45879766666666666,"PAC":0.7033014769765422,"VoyageMMarcoReranking":0.6820628165658267,"GreekLegalCodeClassification":0.37131349999999996,"KurdishSentimentClassification":0.7707599396074484,"Robust04InstructionRetrieval":-0.074796,"TERRa":0.5842134677213782,"indonli":0.5173601487694219,"SpartQA":0.05645,"SentimentAnalysisHindi":0.641980680051149,"ItaCaseholdClassification":0.667873,"OdiaNewsClassification":0.8000961096540655,"FinancialPhrasebankClassification":0.839399,"ArXivHierarchicalClusteringP2P":0.556856,"CLSClusteringP2P.v2":0.40368983869869046,"CTKFactsNLI":0.798385,"JSICK":0.798065,"STSB":0.8235674320152246,"FloresBitextMining":0.8108048566599053,"MacedonianTweetSentimentClassification":0.6192273924495171,"TweetTopicSingleClassification":0.6532191376255168,"HALClusteringS2S.v2":0.226091,"BulgarianStoreReviewSentimentClassfication":0.638462,"CzechProductReviewSentimentClassification":0.571387,"FilipinoShopeeReviewsClassification":0.35273437500000004,"BigPatentClustering.v2":0.31471,"ArXivHierarchicalClusteringS2S":0.536658,"AILAStatutes":0.20842,"MultiHateClassification":0.6357272727272728,"DalajClassification":0.500113,"T2Reranking":0.6632099500865187,"WebLINXCandidatesReranking":0.07780226876227447,"KorSarcasmClassification":0.567919921875,"NusaX-senti":0.7054791666666667,"StackExchangeClustering.v2":0.46428409593639797,"PolEmo2.0-OUT":0.364777,"RomaniBibleClustering":0.409232,"STS22.v2":0.6430422816304919,"PoemSentimentClassification":0.5067355,"IndicGenBenchFloresBitextMining":0.8874948168460361},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":56,"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":{"STS":0.7101963735795456,"Classification":0.6035780801543134,"Clustering":0.44515225730261965,"PairClassification":0.763358382034632,"Reranking":0.6032032152777779,"Retrieval":0.572074713581453,"InstructionReranking":-0.039365000000000004,"BitextMining":0.6071659450686452,"MultilabelClassification":0.1956490260869565},"scoresByTask":{"ScalaClassification":0.506067,"IndonesianIdClickbaitClassification":0.6082,"SICK-R":0.738397,"SCIDOCS":0.19245,"PunjabiNewsClassification":0.840764,"AlloProfClusteringS2S.v2":0.389857,"SlovakMovieReviewSentimentClassification":0.700293,"WikipediaRerankingMultilingual":0.881440625,"NTREXBitextMining":0.7249473794363256,"NusaParagraphEmotionClassification":0.4259005,"MassiveIntentClassification":0.5808778235294118,"STS13":0.827242,"CyrillicTurkicLangClassification":0.668652,"CSFDSKMovieReviewSentimentClassification":0.341895,"XNLI":0.6608902857142857,"CEDRClassification":0.39203,"WinoGrande":0.65878,"IN22GenBitextMining":0.6537154861660079,"NusaTranslationBitextMining":0.6764960909090909,"TwitterURLCorpus":0.862407,"PpcPC":0.814301,"TwitterHjerneRetrieval":0.67933,"MalteseNewsClassification":0.238572,"STS12":0.726515,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.969381,"SwahiliNewsClassification":0.600146,"BiorxivClusteringP2P.v2":0.417402,"STS14":0.790294,"BornholmBitextMining":0.404509,"FaroeseSTS":0.734484,"WikiCitiesClustering":0.800494,"NusaXBitextMining":0.5628188181818182,"STSBenchmark":0.834553,"StackOverflowQA":0.76177,"MultiEURLEXMultilabelClassification":0.04947913043478261,"NorwegianCourtsBitextMining":0.937135,"PlscClusteringP2P.v2":0.715131,"ToxicConversationsClassification":0.684961,"BrazilianToxicTweetsClassification":0.19458,"IndicLangClassification":0.706917,"News21InstructionRetrieval":-0.009636,"GujaratiNewsClassification":0.820713,"SiswatiNewsClassification":0.59375,"STS17":0.7338527272727272,"NollySentiBitextMining":0.329808,"STS15":0.866919,"TempReasonL1":0.00744,"MedrxivClusteringP2P.v2":0.375347,"TRECCOVID":0.78741,"NepaliNewsClassification":0.936914,"ArmenianParaphrasePC":0.954487,"AmazonCounterfactualClassification":0.733774625,"KorHateSpeechMLClassification":0.103584,"BelebeleRetrieval":0.7195666755319149,"AlloprofReranking":0.70981,"NordicLangClassification":0.614533,"StatcanDialogueDatasetRetrieval":0.27933,"RuBQReranking":0.6816,"STSES":0.796377,"WikiClusteringP2P.v2":0.27004364285714283,"FinParaSTS":0.1655485,"OpusparcusPC":0.9119244166666666,"CataloniaTweetClassification":0.50906125,"GermanSTSBenchmark":0.7999475,"SwissJudgementClassification":0.5550523333333334,"MLQARetrieval":0.6898412244897959,"SwednClusteringP2P":0.380011,"DBpediaClassification":0.882178,"HagridRetrieval":0.98843,"TswanaNewsClassification":0.319097,"WikipediaRetrievalMultilingual":0.8848925,"ArguAna":0.55761,"MIRACLRetrievalHardNegatives":0.6663044444444445,"IsiZuluNewsClassification":0.265957,"DiaBlaBitextMining":0.714888,"LegalBenchCorporateLobbying":0.92566,"EstonianValenceClassification":0.413081,"SinhalaNewsClassification":0.752295,"SprintDuplicateQuestions":0.958895,"CovidRetrieval":0.76169,"IndicCrosslingualSTS":0.363809,"Core17InstructionRetrieval":-0.014764,"RTE3":0.869865,"BibleNLPBitextMining":0.0803527940821256,"AfriSentiClassification":0.42298824999999995,"PAC":0.709325,"VoyageMMarcoReranking":0.6025,"GreekLegalCodeClassification":0.4022705,"KurdishSentimentClassification":0.632058,"Robust04InstructionRetrieval":-0.093695,"TERRa":0.555412,"indonli":0.51083,"SpartQA":0.07114,"SentimentAnalysisHindi":0.58887,"ItaCaseholdClassification":0.693665,"OdiaNewsClassification":0.801781,"MasakhaNEWSClassification":0.7388344375,"FinancialPhrasebankClassification":0.80742,"ArXivHierarchicalClusteringP2P":0.597252,"CLSClusteringP2P.v2":0.390722,"CTKFactsNLI":0.76433,"JSICK":0.819425,"STSB":0.7850090000000001,"FloresBitextMining":0.4803671620061818,"MacedonianTweetSentimentClassification":0.541352,"TweetTopicSingleClassification":0.695275,"SIB200ClusteringS2S":0.2886465989847716,"HALClusteringS2S.v2":0.273467,"BulgarianStoreReviewSentimentClassfication":0.675824,"CzechProductReviewSentimentClassification":0.577197,"PawsXPairClassification":0.5336005,"FilipinoShopeeReviewsClassification":0.331592,"SemRel24STS":0.6659182499999999,"BigPatentClustering.v2":0.341772,"ArXivHierarchicalClusteringS2S":0.541661,"AILAStatutes":0.2857,"MultiHateClassification":0.5701727272727273,"MasakhaNEWSClusteringS2S":0.438476875,"DalajClassification":0.502703,"T2Reranking":0.67229,"WebLINXCandidatesReranking":0.07157866666666667,"KorSarcasmClassification":0.54707,"NusaX-senti":0.6718125,"StackExchangeClustering.v2":0.529593,"Tatoeba":0.5426425982142857,"PolEmo2.0-OUT":0.513158,"RomaniBibleClustering":0.37256,"STS22.v2":0.714851,"PoemSentimentClassification":0.46940950000000004,"IndicGenBenchFloresBitextMining":0.8160959568965517},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":57,"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":0.5112170088952284,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7335232001262626,"Classification":0.5723323382404758,"Clustering":0.4304628876195386,"PairClassification":0.7781121807359308,"Reranking":0.6145471875,"Retrieval":0.5751618872810157,"InstructionReranking":-0.048336,"BitextMining":0.7540285202929611,"MultilabelClassification":0.19112087826086954},"scoresByTask":{"ScalaClassification":0.5026735,"IndonesianIdClickbaitClassification":0.601129,"SICK-R":0.744838,"SCIDOCS":0.20112,"PunjabiNewsClassification":0.832484,"AlloProfClusteringS2S.v2":0.342353,"SlovakMovieReviewSentimentClassification":0.655762,"WikipediaRerankingMultilingual":0.867110625,"NTREXBitextMining":0.8980458042797494,"NusaParagraphEmotionClassification":0.42668100000000003,"MassiveIntentClassification":0.5709014117647059,"STS13":0.808453,"CyrillicTurkicLangClassification":0.300342,"CSFDSKMovieReviewSentimentClassification":0.306152,"XNLI":0.6976832142857142,"CEDRClassification":0.402444,"WinoGrande":0.4425,"IN22GenBitextMining":0.7694650830039526,"NusaTranslationBitextMining":0.7602994545454546,"TwitterURLCorpus":0.854901,"PpcPC":0.858221,"TwitterHjerneRetrieval":0.63527,"MalteseNewsClassification":0.210144,"STS12":0.76753,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.986833,"SwahiliNewsClassification":0.615137,"BiorxivClusteringP2P.v2":0.390586,"STS14":0.791962,"BornholmBitextMining":0.517911,"FaroeseSTS":0.763753,"WikiCitiesClustering":0.897273,"NusaXBitextMining":0.7392359090909092,"STSBenchmark":0.85802,"StackOverflowQA":0.77158,"MultiEURLEXMultilabelClassification":0.04531739130434782,"NorwegianCourtsBitextMining":0.944444,"PlscClusteringP2P.v2":0.707784,"ToxicConversationsClassification":0.669434,"BrazilianToxicTweetsClassification":0.198877,"IndicLangClassification":0.131255,"News21InstructionRetrieval":-0.007702,"GujaratiNewsClassification":0.750531,"SiswatiNewsClassification":0.64,"STS17":0.7896850909090909,"NollySentiBitextMining":0.7144170000000001,"STS15":0.88273,"TempReasonL1":0.01421,"MedrxivClusteringP2P.v2":0.359369,"TRECCOVID":0.56792,"NepaliNewsClassification":0.93877,"ArmenianParaphrasePC":0.94313,"AmazonCounterfactualClassification":0.718680625,"KorHateSpeechMLClassification":0.098822,"BelebeleRetrieval":0.7455432978723404,"AlloprofReranking":0.70657,"NordicLangClassification":0.383867,"StatcanDialogueDatasetRetrieval":0.2704075,"RuBQReranking":0.65977,"STSES":0.804688,"WikiClusteringP2P.v2":0.2679807142857143,"FinParaSTS":0.2205895,"OpusparcusPC":0.9439654166666666,"CataloniaTweetClassification":0.47675575000000003,"GermanSTSBenchmark":0.8344535,"SwissJudgementClassification":0.5497139999999999,"MLQARetrieval":0.7107660204081632,"SwednClusteringP2P":0.334649,"DBpediaClassification":0.839014,"HagridRetrieval":0.9862,"TswanaNewsClassification":0.484394,"WikipediaRetrievalMultilingual":0.878849375,"ArguAna":0.57419,"MIRACLRetrievalHardNegatives":0.5986677777777777,"IsiZuluNewsClassification":0.351463,"DiaBlaBitextMining":0.864738,"LegalBenchCorporateLobbying":0.91423,"EstonianValenceClassification":0.384108,"SinhalaNewsClassification":0.673828,"SprintDuplicateQuestions":0.954399,"CovidRetrieval":0.73958,"IndicCrosslingualSTS":0.49625908333333335,"Core17InstructionRetrieval":-0.029222,"RTE3":0.896359,"BibleNLPBitextMining":0.19415333212560387,"AfriSentiClassification":0.44363358333333336,"PAC":0.686215,"VoyageMMarcoReranking":0.6824,"GreekLegalCodeClassification":0.4104735,"KurdishSentimentClassification":0.778259,"Robust04InstructionRetrieval":-0.108084,"TERRa":0.578911,"indonli":0.528914,"SpartQA":0.09167,"SentimentAnalysisHindi":0.595335,"ItaCaseholdClassification":0.662896,"OdiaNewsClassification":0.737523,"MasakhaNEWSClassification":0.78924225,"FinancialPhrasebankClassification":0.777032,"ArXivHierarchicalClusteringP2P":0.551511,"CLSClusteringP2P.v2":0.348863,"CTKFactsNLI":0.7626539999999999,"JSICK":0.832695,"STSB":0.81793,"FloresBitextMining":0.7728519132135613,"MacedonianTweetSentimentClassification":0.611853,"TweetTopicSingleClassification":0.695806,"SIB200ClusteringS2S":0.27599167512690354,"HALClusteringS2S.v2":0.237631,"BulgarianStoreReviewSentimentClassfication":0.587363,"CzechProductReviewSentimentClassification":0.526367,"PawsXPairClassification":0.5400963571428571,"FilipinoShopeeReviewsClassification":0.3241455,"SemRel24STS":0.6294419166666667,"BigPatentClustering.v2":0.301129,"ArXivHierarchicalClusteringS2S":0.540062,"AILAStatutes":0.36021,"MultiHateClassification":0.5970090909090909,"MasakhaNEWSClusteringS2S":0.3900558125,"DalajClassification":0.497973,"T2Reranking":0.66204,"WebLINXCandidatesReranking":0.1093925,"KorSarcasmClassification":0.554639,"NusaX-senti":0.6733958333333333,"StackExchangeClustering.v2":0.535662,"Tatoeba":0.7410957589285714,"PolEmo2.0-OUT":0.359514,"RomaniBibleClustering":0.406506,"STS22.v2":0.6933431111111111,"PoemSentimentClassification":0.4985395,"IndicGenBenchFloresBitextMining":0.8988805086206897},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","PawsXPairClassification"],"experiments":null},{"rank":58,"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":{"STS":0.746937180239899,"Clustering":0.40354839379475616,"PairClassification":0.7851120183982684,"Reranking":0.6037203327361101,"Retrieval":0.5326259483336282,"InstructionReranking":-0.024984666666666665,"BitextMining":0.7216174488890352,"MultilabelClassification":0.19563215652173915},"scoresByTask":{"ScalaClassification":0.503491,"IndonesianIdClickbaitClassification":0.591245,"SICK-R":0.776325,"SCIDOCS":0.14024,"PunjabiNewsClassification":0.788535,"AlloProfClusteringS2S.v2":0.412913,"SlovakMovieReviewSentimentClassification":0.768457,"WikipediaRerankingMultilingual":0.88578625,"NTREXBitextMining":0.8819057708768268,"NusaParagraphEmotionClassification":0.4323353,"MassiveIntentClassification":0.6425388627450981,"STS13":0.815511,"CyrillicTurkicLangClassification":0.456689,"CSFDSKMovieReviewSentimentClassification":0.382617,"XNLI":0.7070792499999999,"CEDRClassification":0.428268,"WinoGrande":0.55444,"IN22GenBitextMining":0.7685191837944664,"NusaTranslationBitextMining":0.7571231818181818,"TwitterURLCorpus":0.859136,"PpcPC":0.905291,"TwitterHjerneRetrieval":0.31471,"MalteseNewsClassification":0.21145,"STS12":0.81355,"LEMBPasskeyRetrieval":0.7575000000000001,"BUCC.v2":0.98502125,"SwahiliNewsClassification":0.602441,"BiorxivClusteringP2P.v2":0.318016,"STS14":0.800594,"BornholmBitextMining":0.466519,"FaroeseSTS":0.777105,"WikiCitiesClustering":0.661149,"NusaXBitextMining":0.7242660909090909,"STSBenchmark":0.849036,"StackOverflowQA":0.80171,"MultiEURLEXMultilabelClassification":0.03701478260869565,"NorwegianCourtsBitextMining":0.94152,"PlscClusteringP2P.v2":0.70173,"ToxicConversationsClassification":0.67749,"BrazilianToxicTweetsClassification":0.199268,"IndicLangClassification":0.202709,"News21InstructionRetrieval":-0.00896,"GujaratiNewsClassification":0.816009,"SiswatiNewsClassification":0.6025,"STS17":0.8024752727272727,"NollySentiBitextMining":0.54695575,"STS15":0.880237,"TempReasonL1":0.0101,"MedrxivClusteringP2P.v2":0.310821,"TRECCOVID":0.44867,"NepaliNewsClassification":0.900732,"ArmenianParaphrasePC":0.962616,"AmazonCounterfactualClassification":0.732504125,"KorHateSpeechMLClassification":0.10216,"BelebeleRetrieval":0.7582951595744681,"AlloprofReranking":0.6517465797499942,"NordicLangClassification":0.402033,"StatcanDialogueDatasetRetrieval":0.173725,"RuBQReranking":0.721255,"STSES":0.779766,"WikiClusteringP2P.v2":0.2684614285714286,"FinParaSTS":0.30422499999999997,"OpusparcusPC":0.9489936666666666,"CataloniaTweetClassification":0.500219,"GermanSTSBenchmark":0.8294585,"SwissJudgementClassification":0.5507696666666667,"MLQARetrieval":0.6927666326530613,"SwednClusteringP2P":0.263377,"DBpediaClassification":0.892285,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.377002,"WikipediaRetrievalMultilingual":0.8952875,"ArguAna":0.51591,"MIRACLRetrievalHardNegatives":0.6140227777777778,"IsiZuluNewsClassification":0.302926,"DiaBlaBitextMining":0.828055,"LegalBenchCorporateLobbying":0.9154,"EstonianValenceClassification":0.411002,"SinhalaNewsClassification":0.728271,"SprintDuplicateQuestions":0.965551,"CovidRetrieval":0.6796,"IndicCrosslingualSTS":0.520987,"Core17InstructionRetrieval":-0.024296,"RTE3":0.8750325,"BibleNLPBitextMining":0.15836702717391302,"AfriSentiClassification":0.45215641666666667,"PAC":0.690211,"VoyageMMarcoReranking":0.590349,"GreekLegalCodeClassification":0.313745,"KurdishSentimentClassification":0.675239,"Robust04InstructionRetrieval":-0.041698,"TERRa":0.564175,"indonli":0.523255,"SpartQA":0.10456,"SentimentAnalysisHindi":0.602932,"ItaCaseholdClassification":0.655204,"OdiaNewsClassification":0.815527,"FinancialPhrasebankClassification":0.823454,"ArXivHierarchicalClusteringP2P":0.542435,"CLSClusteringP2P.v2":0.357524,"CTKFactsNLI":0.7626585,"JSICK":0.821227,"STSB":0.827647,"FloresBitextMining":0.7173782764899064,"MacedonianTweetSentimentClassification":0.632221,"TweetTopicSingleClassification":0.660484,"SIB200ClusteringS2S":0.27302030964467006,"HALClusteringS2S.v2":0.232945,"BulgarianStoreReviewSentimentClassfication":0.69011,"CzechProductReviewSentimentClassification":0.578955,"PawsXPairClassification":0.5624442857142857,"FilipinoShopeeReviewsClassification":0.355884,"SemRel24STS":0.6639303333333334,"BigPatentClustering.v2":0.278496,"ArXivHierarchicalClusteringS2S":0.499528,"AILAStatutes":0.22264,"MultiHateClassification":0.5943454545454545,"MasakhaNEWSClusteringS2S":0.4272065625,"DalajClassification":0.498198,"T2Reranking":0.657125,"WebLINXCandidatesReranking":0.11606016666666667,"KorSarcasmClassification":0.566211,"NusaX-senti":0.687875,"StackExchangeClustering.v2":0.498588,"Tatoeba":0.7234318303571429,"PolEmo2.0-OUT":0.44332,"RomaniBibleClustering":0.410564,"STS22.v2":0.6889207777777778,"PoemSentimentClassification":0.54989,"IndicGenBenchFloresBitextMining":0.881964474137931},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":59,"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":{"PairClassification":0.7747326677157077,"Reranking":0.5817020817835371,"Retrieval":0.5083869389480575,"InstructionReranking":-0.026031666666666665,"BitextMining":0.6421731665978687,"MultilabelClassification":0.21618938846740282},"scoresByTask":{"ScalaClassification":0.50379625,"IndonesianIdClickbaitClassification":0.611629,"SICK-R":0.7963245426461405,"SCIDOCS":0.20428999999999997,"PunjabiNewsClassification":0.826752,"AlloProfClusteringS2S.v2":0.488282,"SlovakMovieReviewSentimentClassification":0.584082,"WikipediaRerankingMultilingual":0.8424543125,"NTREXBitextMining":0.7358612332985387,"NusaParagraphEmotionClassification":0.37979979999999997,"MassiveIntentClassification":0.49239420588235294,"STS13":0.8449255715794354,"CyrillicTurkicLangClassification":0.464209,"CSFDSKMovieReviewSentimentClassification":0.262549,"XNLI":0.7256158928571429,"CEDRClassification":0.43299681190223166,"WinoGrande":0.24248,"IN22GenBitextMining":0.6062994486166008,"NusaTranslationBitextMining":0.738007090909091,"TwitterURLCorpus":0.863276630523782,"PpcPC":0.8743755817552732,"TwitterHjerneRetrieval":0.34227,"MalteseNewsClassification":0.322551,"STS12":0.8149535893255212,"LEMBPasskeyRetrieval":0.5475,"BUCC.v2":0.9854609999999999,"SwahiliNewsClassification":0.596777,"BiorxivClusteringP2P.v2":0.371479,"STS14":0.8005601661201852,"BornholmBitextMining":0.386636,"FaroeseSTS":0.690652,"WikiCitiesClustering":0.826445,"NusaXBitextMining":0.6357902727272727,"STSBenchmark":0.8429708032112021,"StackOverflowQA":0.92801,"MultiEURLEXMultilabelClassification":0.044959130434782606,"NorwegianCourtsBitextMining":0.937135,"PlscClusteringP2P.v2":0.71373,"ToxicConversationsClassification":0.890380859375,"BrazilianToxicTweetsClassification":0.204053,"IndicLangClassification":0.573184,"News21InstructionRetrieval":0.007913,"GujaratiNewsClassification":0.707891,"SiswatiNewsClassification":0.545,"NollySentiBitextMining":0.52606,"STS15":0.865434566350121,"TempReasonL1":0.01583,"MedrxivClusteringP2P.v2":0.346143,"TRECCOVID":0.7953600000000001,"NepaliNewsClassification":0.938721,"ArmenianParaphrasePC":0.934971,"AmazonCounterfactualClassification":0.7925791249999999,"KorHateSpeechMLClassification":0.076387,"BelebeleRetrieval":0.5806740691489362,"AlloprofReranking":0.7504647907753766,"NordicLangClassification":0.6043,"StatcanDialogueDatasetRetrieval":0.2142125,"RuBQReranking":0.6848180892753541,"STSES":0.766854,"WikiClusteringP2P.v2":0.2677572142857143,"FinParaSTS":0.2097235,"OpusparcusPC":0.9259611666666667,"CataloniaTweetClassification":0.50594275,"GermanSTSBenchmark":0.8003085000000001,"SwissJudgementClassification":0.5550510000000001,"MLQARetrieval":0.5093767346938776,"SwednClusteringP2P":0.34919849999999997,"DBpediaClassification":0.895557,"HagridRetrieval":0.98646,"TswanaNewsClassification":0.434086,"WikipediaRetrievalMultilingual":0.799549375,"ArguAna":0.56569,"MIRACLRetrievalHardNegatives":0.28169222222222223,"IsiZuluNewsClassification":0.28258,"DiaBlaBitextMining":0.821332,"LegalBenchCorporateLobbying":0.859,"EstonianValenceClassification":0.33423,"SinhalaNewsClassification":0.596826,"SprintDuplicateQuestions":0.9418170827750167,"CovidRetrieval":0.82766,"IndicCrosslingualSTS":0.23075516666666665,"Core17InstructionRetrieval":-0.000019,"RTE3":0.86769825,"BibleNLPBitextMining":0.12455731944444444,"AfriSentiClassification":0.42419566666666664,"PAC":0.6480162177816392,"VoyageMMarcoReranking":0.438256,"GreekLegalCodeClassification":0.2865235,"KurdishSentimentClassification":0.607851,"Robust04InstructionRetrieval":-0.085989,"TERRa":0.5556580974377611,"indonli":0.523427,"SpartQA":0.07491,"SentimentAnalysisHindi":0.571145,"ItaCaseholdClassification":0.604525,"OdiaNewsClassification":0.656742,"FinancialPhrasebankClassification":0.802164,"ArXivHierarchicalClusteringP2P":0.589147,"CLSClusteringP2P.v2":0.379962,"CTKFactsNLI":0.743409,"JSICK":0.810265,"FloresBitextMining":0.5637904433256061,"MacedonianTweetSentimentClassification":0.45259,"TweetTopicSingleClassification":0.718311,"SIB200ClusteringS2S":0.21608259898477158,"HALClusteringS2S.v2":0.253751,"BulgarianStoreReviewSentimentClassfication":0.471978,"CzechProductReviewSentimentClassification":0.469531,"PawsXPairClassification":0.5658496428571429,"FilipinoShopeeReviewsClassification":0.290161,"SemRel24STS":0.6066900000000001,"BigPatentClustering.v2":0.366091,"ArXivHierarchicalClusteringS2S":0.545492,"AILAStatutes":0.376,"MultiHateClassification":0.6087636363636363,"DalajClassification":0.50259,"T2Reranking":0.6638154648171585,"WebLINXCandidatesReranking":0.11040383333333333,"KorSarcasmClassification":0.545703,"NusaX-senti":0.6193125,"StackExchangeClustering.v2":0.537344,"Tatoeba":0.5006483660714286,"PolEmo2.0-OUT":0.6137651821862349,"RomaniBibleClustering":0.431674,"STS22.v2":0.7041453888888889,"PoemSentimentClassification":0.5632189999999999,"IndicGenBenchFloresBitextMining":0.7866729913793103},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":60,"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":{"Classification":0.5703894534717904,"Clustering":0.42855181260480874,"PairClassification":0.7618700283273221,"Reranking":0.6429282047091296,"Retrieval":0.5398362749875364,"InstructionReranking":0.030227333333333332,"BitextMining":0.48899496402011755,"MultilabelClassification":0.18949170258282125},"scoresByTask":{"ScalaClassification":0.503723,"IndonesianIdClickbaitClassification":0.614686,"SICK-R":0.8280375234068289,"SCIDOCS":0.20190000000000002,"PunjabiNewsClassification":0.566242,"AlloProfClusteringS2S.v2":0.54257,"SlovakMovieReviewSentimentClassification":0.815527,"WikipediaRerankingMultilingual":0.8993619375,"NTREXBitextMining":0.5180861784968684,"NusaParagraphEmotionClassification":0.43181010000000003,"MassiveIntentClassification":0.5414639901960784,"STS13":0.863035513172505,"CyrillicTurkicLangClassification":0.692725,"CSFDSKMovieReviewSentimentClassification":0.370312,"XNLI":0.6001419642857143,"CEDRClassification":0.3871413390010627,"WinoGrande":0.20143,"IN22GenBitextMining":0.3628834703557312,"NusaTranslationBitextMining":0.5723649090909091,"TwitterURLCorpus":0.8608743411620402,"PpcPC":0.92079,"TwitterHjerneRetrieval":0.45521,"MalteseNewsClassification":0.220331,"STS12":0.7622474792649981,"LEMBPasskeyRetrieval":0.425,"BUCC.v2":0.97016325,"SwahiliNewsClassification":0.598535,"BiorxivClusteringP2P.v2":0.47384,"STS14":0.8209196894621045,"BornholmBitextMining":0.321199,"FaroeseSTS":0.684522,"WikiCitiesClustering":0.714848,"NusaXBitextMining":0.4852255454545455,"STSBenchmark":0.8613895001731495,"StackOverflowQA":0.9261,"MultiEURLEXMultilabelClassification":0.033152173913043474,"NorwegianCourtsBitextMining":0.896199,"PlscClusteringP2P.v2":0.679498,"ToxicConversationsClassification":0.925984,"BrazilianToxicTweetsClassification":0.234375,"IndicLangClassification":0.845585,"News21InstructionRetrieval":0.031499,"GujaratiNewsClassification":0.675948,"SiswatiNewsClassification":0.56625,"NollySentiBitextMining":0.24027099999999998,"STS15":0.8724083005603993,"TempReasonL1":0.03443,"MedrxivClusteringP2P.v2":0.378069,"TRECCOVID":0.85883,"NepaliNewsClassification":0.914941,"ArmenianParaphrasePC":0.921434,"AmazonCounterfactualClassification":0.67530525,"KorHateSpeechMLClassification":0.072459,"BelebeleRetrieval":0.6550401861702128,"AlloprofReranking":0.734677,"NordicLangClassification":0.668967,"StatcanDialogueDatasetRetrieval":0.1884575,"RuBQReranking":0.7567224574214443,"STSES":0.767763,"WikiClusteringP2P.v2":0.26710614285714285,"FinParaSTS":0.2036975,"OpusparcusPC":0.9093081666666666,"CataloniaTweetClassification":0.5158134999999999,"GermanSTSBenchmark":0.7675974999999999,"SwissJudgementClassification":0.5695546666666668,"MLQARetrieval":0.7102973469387754,"SwednClusteringP2P":0.2557615,"DBpediaClassification":0.900439,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.316838,"WikipediaRetrievalMultilingual":0.90164125,"ArguAna":0.6820499999999999,"MIRACLRetrievalHardNegatives":0.48757666666666666,"IsiZuluNewsClassification":0.26117,"DiaBlaBitextMining":0.585644,"LegalBenchCorporateLobbying":0.95064,"EstonianValenceClassification":0.345721,"SinhalaNewsClassification":0.510547,"SprintDuplicateQuestions":0.9607286531485965,"CovidRetrieval":0.58094,"IndicCrosslingualSTS":0.13455675,"Core17InstructionRetrieval":0.07724,"RTE3":0.8655649999999999,"BibleNLPBitextMining":0.07104925785024155,"AfriSentiClassification":0.4240205833333333,"PAC":0.659629,"VoyageMMarcoReranking":0.662976,"GreekLegalCodeClassification":0.1260745,"KurdishSentimentClassification":0.668646,"Robust04InstructionRetrieval":-0.018057,"TERRa":0.5351598291946672,"indonli":0.49096,"SpartQA":0.03953,"SentimentAnalysisHindi":0.49873,"ItaCaseholdClassification":0.533484,"OdiaNewsClassification":0.532551,"MasakhaNEWSClassification":0.6599655,"FinancialPhrasebankClassification":0.761661,"ArXivHierarchicalClusteringP2P":0.613772,"CLSClusteringP2P.v2":0.333504,"CTKFactsNLI":0.7484685,"JSICK":0.786911,"STSB":0.741869,"FloresBitextMining":0.3645286082053511,"MacedonianTweetSentimentClassification":0.484372,"TweetTopicSingleClassification":0.629711,"SIB200ClusteringS2S":0.16748842131979694,"HALClusteringS2S.v2":0.270038,"BulgarianStoreReviewSentimentClassfication":0.595604,"CzechProductReviewSentimentClassification":0.533154,"PawsXPairClassification":0.5671398571428571,"FilipinoShopeeReviewsClassification":0.33999,"SemRel24STS":0.5685314166666667,"BigPatentClustering.v2":0.191678,"ArXivHierarchicalClusteringS2S":0.613319,"AILAStatutes":0.42902,"MultiHateClassification":0.6381909090909091,"MasakhaNEWSClusteringS2S":0.3985749375,"DalajClassification":0.501126,"T2Reranking":0.656929,"WebLINXCandidatesReranking":0.14690283333333334,"KorSarcasmClassification":0.549121,"NusaX-senti":0.6491250000000001,"StackExchangeClustering.v2":0.563493,"Tatoeba":0.45702807142857144,"PolEmo2.0-OUT":0.342308,"RomaniBibleClustering":0.393269,"STS22.v2":0.6251442222222222,"PoemSentimentClassification":0.5711955,"IndicGenBenchFloresBitextMining":0.5122922413793103},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":61,"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":{"Classification":0.5851498438253949,"Clustering":0.44789628498345724,"PairClassification":0.7699816479605393,"Reranking":0.6197763333333333,"Retrieval":0.5579244334717733,"InstructionReranking":-0.024518333333333333,"BitextMining":0.6502562285300878,"MultilabelClassification":0.20085348695652172},"scoresByTask":{"ScalaClassification":0.5029907499999999,"IndonesianIdClickbaitClassification":0.591079,"SICK-R":0.7703523134004042,"SCIDOCS":0.171,"PunjabiNewsClassification":0.802548,"AlloProfClusteringS2S.v2":0.400149,"SlovakMovieReviewSentimentClassification":0.632373,"WikipediaRerankingMultilingual":0.876505,"NTREXBitextMining":0.8025385668058456,"NusaParagraphEmotionClassification":0.40669659999999996,"MassiveIntentClassification":0.5693219117647059,"STS13":0.7949916779764082,"CyrillicTurkicLangClassification":0.480566,"CSFDSKMovieReviewSentimentClassification":0.3,"XNLI":0.7089326428571429,"CEDRClassification":0.384963,"WinoGrande":0.61865,"IN22GenBitextMining":0.7190989249011858,"NusaTranslationBitextMining":0.7451254545454545,"TwitterURLCorpus":0.8584596466970871,"PpcPC":0.866967,"TwitterHjerneRetrieval":0.60683,"MalteseNewsClassification":0.283848,"STS12":0.7321878234127571,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.95593125,"SwahiliNewsClassification":0.623193,"BiorxivClusteringP2P.v2":0.416921,"STS14":0.769552055757283,"BornholmBitextMining":0.366354,"FaroeseSTS":0.669596,"WikiCitiesClustering":0.78729,"NusaXBitextMining":0.5946670909090909,"STSBenchmark":0.8546101092708824,"StackOverflowQA":0.81466,"MultiEURLEXMultilabelClassification":0.045510434782608696,"NorwegianCourtsBitextMining":0.921053,"PlscClusteringP2P.v2":0.715271,"ToxicConversationsClassification":0.7065859999999999,"BrazilianToxicTweetsClassification":0.198193,"IndicLangClassification":0.195062,"News21InstructionRetrieval":-0.008279,"GujaratiNewsClassification":0.771472,"SiswatiNewsClassification":0.60125,"NollySentiBitextMining":0.5331095,"STS15":0.8642805701554928,"TempReasonL1":0.00945,"MedrxivClusteringP2P.v2":0.378458,"TRECCOVID":0.7893000000000001,"NepaliNewsClassification":0.93833,"ArmenianParaphrasePC":0.932593,"AmazonCounterfactualClassification":0.67063625,"KorHateSpeechMLClassification":0.091753,"BelebeleRetrieval":0.7237323138297873,"AlloprofReranking":0.72488,"NordicLangClassification":0.6597,"StatcanDialogueDatasetRetrieval":0.22624499999999997,"RuBQReranking":0.71116,"STSES":0.798427,"WikiClusteringP2P.v2":0.27023014285714286,"FinParaSTS":0.23962050000000001,"OpusparcusPC":0.9152525833333334,"CataloniaTweetClassification":0.483831,"GermanSTSBenchmark":0.787069,"SwissJudgementClassification":0.543557,"MLQARetrieval":0.6672688775510204,"SwednClusteringP2P":0.396386,"DBpediaClassification":0.892627,"HagridRetrieval":0.98753,"TswanaNewsClassification":0.418891,"WikipediaRetrievalMultilingual":0.8802025,"ArguAna":0.53369,"MIRACLRetrievalHardNegatives":0.6328211111111111,"IsiZuluNewsClassification":0.318218,"DiaBlaBitextMining":0.6633497725167528,"LegalBenchCorporateLobbying":0.92636,"EstonianValenceClassification":0.384719,"SinhalaNewsClassification":0.715381,"SprintDuplicateQuestions":0.9659618618212249,"CovidRetrieval":0.72969,"IndicCrosslingualSTS":0.42477499999999996,"Core17InstructionRetrieval":0.015792,"RTE3":0.8619727500000001,"BibleNLPBitextMining":0.10722834541062802,"AfriSentiClassification":0.45706058333333327,"PAC":0.671098,"VoyageMMarcoReranking":0.629058,"GreekLegalCodeClassification":0.35566450000000005,"KurdishSentimentClassification":0.814545,"Robust04InstructionRetrieval":-0.081068,"TERRa":0.566672,"indonli":0.510596,"SpartQA":0.05402,"SentimentAnalysisHindi":0.635874,"ItaCaseholdClassification":0.728054,"OdiaNewsClassification":0.77764,"MasakhaNEWSClassification":0.7670567500000001,"FinancialPhrasebankClassification":0.770981,"ArXivHierarchicalClusteringP2P":0.571049,"CLSClusteringP2P.v2":0.395903,"CTKFactsNLI":0.7504605,"JSICK":0.825874,"STSB":0.7771115,"FloresBitextMining":0.6538387862455327,"MacedonianTweetSentimentClassification":0.5741,"TweetTopicSingleClassification":0.689309,"SIB200ClusteringS2S":0.2880127918781726,"HALClusteringS2S.v2":0.253644,"BulgarianStoreReviewSentimentClassfication":0.627473,"CzechProductReviewSentimentClassification":0.528467,"PawsXPairClassification":0.5319301428571429,"FilipinoShopeeReviewsClassification":0.3563475,"SemRel24STS":0.6060305,"BigPatentClustering.v2":0.377866,"ArXivHierarchicalClusteringS2S":0.533711,"AILAStatutes":0.29119,"MultiHateClassification":0.5741272727272727,"MasakhaNEWSClusteringS2S":0.424312625,"DalajClassification":0.501126,"T2Reranking":0.674628,"WebLINXCandidatesReranking":0.102427,"KorSarcasmClassification":0.555322,"NusaX-senti":0.6694791666666666,"StackExchangeClustering.v2":0.559929,"Tatoeba":0.5273573571428571,"PolEmo2.0-OUT":0.433603,"RomaniBibleClustering":0.397208,"STS22.v2":0.6862112777777778,"PoemSentimentClassification":0.46508700000000003,"IndicGenBenchFloresBitextMining":0.8636789224137932},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":62,"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":0.5797783120250245,"meanTaskType":0.5060790622151053,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7009980208333333,"Classification":0.5885664444124902,"Clustering":0.5082591279629713,"PairClassification":0.7601766255411255,"Reranking":0.603372798611111,"Retrieval":0.5408139624660936,"InstructionReranking":-0.03385733333333333,"BitextMining":0.6559148525725915,"MultilabelClassification":0.23046706086956523},"scoresByTask":{"ScalaClassification":0.5103150000000001,"IndonesianIdClickbaitClassification":0.569197,"SICK-R":0.741905,"SCIDOCS":0.17548,"PunjabiNewsClassification":0.733758,"AlloProfClusteringS2S.v2":0.356857,"SlovakMovieReviewSentimentClassification":0.710352,"WikipediaRerankingMultilingual":0.851395625,"NTREXBitextMining":0.7493269081419625,"NusaParagraphEmotionClassification":0.360684,"MassiveIntentClassification":0.6948711078431372,"STS13":0.825131,"CyrillicTurkicLangClassification":0.781787,"CSFDSKMovieReviewSentimentClassification":0.289795,"XNLI":0.6946952857142856,"CEDRClassification":0.505792,"WinoGrande":0.4316,"IN22GenBitextMining":0.6439979584980238,"NusaTranslationBitextMining":0.7748587272727273,"TwitterURLCorpus":0.853305,"PpcPC":0.817422,"TwitterHjerneRetrieval":0.5725,"MalteseNewsClassification":0.333696,"STS12":0.797303,"LEMBPasskeyRetrieval":0.69,"BUCC.v2":0.9839905,"SwahiliNewsClassification":0.57334,"BiorxivClusteringP2P.v2":0.524248,"STS14":0.804775,"BornholmBitextMining":0.454067,"FaroeseSTS":0.681381,"WikiCitiesClustering":0.826393,"NusaXBitextMining":0.6649766363636364,"STSBenchmark":0.84624,"StackOverflowQA":0.87356,"MultiEURLEXMultilabelClassification":0.03307130434782608,"NorwegianCourtsBitextMining":0.923246,"PlscClusteringP2P.v2":0.703734,"ToxicConversationsClassification":0.891992,"BrazilianToxicTweetsClassification":0.199609,"IndicLangClassification":0.872792,"News21InstructionRetrieval":-0.003425,"GujaratiNewsClassification":0.702428,"SiswatiNewsClassification":0.6525,"STS17":0.749116,"NollySentiBitextMining":0.4608845,"STS15":0.871076,"TempReasonL1":0.01178,"MedrxivClusteringP2P.v2":0.446989,"TRECCOVID":0.54333,"NepaliNewsClassification":0.916455,"ArmenianParaphrasePC":0.914843,"AmazonCounterfactualClassification":0.8589202499999999,"KorHateSpeechMLClassification":0.080167,"BelebeleRetrieval":0.6287028989361703,"AlloprofReranking":0.69468,"NordicLangClassification":0.566133,"StatcanDialogueDatasetRetrieval":0.2151075,"RuBQReranking":0.65773,"STSES":0.768965,"WikiClusteringP2P.v2":0.2601697142857143,"FinParaSTS":0.1884845,"OpusparcusPC":0.9211919166666666,"CataloniaTweetClassification":0.45540975,"GermanSTSBenchmark":0.7827765,"SwissJudgementClassification":0.5566939999999999,"MLQARetrieval":0.6504422448979592,"SwednClusteringP2P":0.470426,"DBpediaClassification":0.833154,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.289528,"WikipediaRetrievalMultilingual":0.839498125,"ArguAna":0.54011,"MIRACLRetrievalHardNegatives":0.5216405555555556,"IsiZuluNewsClassification":0.251862,"DiaBlaBitextMining":0.811894,"LegalBenchCorporateLobbying":0.91519,"EstonianValenceClassification":0.358313,"SinhalaNewsClassification":0.637109,"SprintDuplicateQuestions":0.965692,"CovidRetrieval":0.72488,"IndicCrosslingualSTS":0.23886408333333334,"Core17InstructionRetrieval":-0.026391,"RTE3":0.85630275,"BibleNLPBitextMining":0.1271493013285024,"AfriSentiClassification":0.41502058333333336,"PAC":0.624095,"VoyageMMarcoReranking":0.63249,"GreekLegalCodeClassification":0.177686,"KurdishSentimentClassification":0.641218,"Robust04InstructionRetrieval":-0.071756,"TERRa":0.547896,"indonli":0.500953,"SpartQA":0.14484,"SentimentAnalysisHindi":0.632544,"ItaCaseholdClassification":0.620362,"OdiaNewsClassification":0.652416,"MasakhaNEWSClassification":0.7212223125,"FinancialPhrasebankClassification":0.74333,"ArXivHierarchicalClusteringP2P":0.624399,"CLSClusteringP2P.v2":0.662164,"CTKFactsNLI":0.740479,"JSICK":0.815828,"STSB":0.810851,"FloresBitextMining":0.558225917294504,"MacedonianTweetSentimentClassification":0.455751,"TweetTopicSingleClassification":0.724926,"SIB200ClusteringS2S":0.5668122081218274,"HALClusteringS2S.v2":0.20172,"BulgarianStoreReviewSentimentClassfication":0.663187,"CzechProductReviewSentimentClassification":0.535352,"PawsXPairClassification":0.5491629285714286,"FilipinoShopeeReviewsClassification":0.3411375,"SemRel24STS":0.6227350833333333,"BigPatentClustering.v2":0.39991,"ArXivHierarchicalClusteringS2S":0.604902,"AILAStatutes":0.26905,"MultiHateClassification":0.5628272727272727,"MasakhaNEWSClusteringS2S":0.424929125,"DalajClassification":0.501014,"T2Reranking":0.66664,"WebLINXCandidatesReranking":0.11730116666666666,"KorSarcasmClassification":0.535791,"NusaX-senti":0.6278958333333333,"StackExchangeClustering.v2":0.654859,"Tatoeba":0.5180499017857143,"PolEmo2.0-OUT":0.471053,"RomaniBibleClustering":0.403634,"STS22.v2":0.6705371666666666,"PoemSentimentClassification":0.5941395,"IndicGenBenchFloresBitextMining":0.8562257327586207},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":63,"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":0.5702563224781808,"meanTaskType":0.49950257297757517,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7011107679924242,"Classification":0.5738896811113875,"Clustering":0.4275727271658584,"PairClassification":0.7671248452380953,"Reranking":0.636680875,"Retrieval":0.5836340391357488,"InstructionReranking":-0.02470633333333333,"BitextMining":0.6408188762271254,"MultilabelClassification":0.18939767826086956},"scoresByTask":{"ScalaClassification":0.5059325,"IndonesianIdClickbaitClassification":0.609263,"SICK-R":0.739812,"SCIDOCS":0.20276,"PunjabiNewsClassification":0.811465,"AlloProfClusteringS2S.v2":0.457351,"SlovakMovieReviewSentimentClassification":0.661719,"WikipediaRerankingMultilingual":0.89175375,"NTREXBitextMining":0.7740594754697285,"NusaParagraphEmotionClassification":0.4270742,"MassiveIntentClassification":0.6299041862745097,"STS13":0.804384,"CyrillicTurkicLangClassification":0.576855,"CSFDSKMovieReviewSentimentClassification":0.309814,"XNLI":0.6428095,"CEDRClassification":0.384803,"WinoGrande":0.55034,"IN22GenBitextMining":0.713656652173913,"NusaTranslationBitextMining":0.6276281818181818,"TwitterURLCorpus":0.854327,"PpcPC":0.870826,"TwitterHjerneRetrieval":0.44523,"MalteseNewsClassification":0.186548,"STS12":0.712258,"LEMBPasskeyRetrieval":0.7725,"BUCC.v2":0.980749,"SwahiliNewsClassification":0.609326,"BiorxivClusteringP2P.v2":0.371826,"STS14":0.751031,"BornholmBitextMining":0.420268,"FaroeseSTS":0.709056,"WikiCitiesClustering":0.742287,"NusaXBitextMining":0.5821191818181819,"STSBenchmark":0.792127,"StackOverflowQA":0.86938,"MultiEURLEXMultilabelClassification":0.045777391304347825,"NorwegianCourtsBitextMining":0.925439,"PlscClusteringP2P.v2":0.71065,"ToxicConversationsClassification":0.65874,"BrazilianToxicTweetsClassification":0.225098,"IndicLangClassification":0.330064,"News21InstructionRetrieval":-0.002411,"GujaratiNewsClassification":0.84393,"SiswatiNewsClassification":0.57875,"STS17":0.7440714545454546,"NollySentiBitextMining":0.33606375,"STS15":0.82865,"TempReasonL1":0.01003,"MedrxivClusteringP2P.v2":0.349524,"TRECCOVID":0.83633,"NepaliNewsClassification":0.91167,"ArmenianParaphrasePC":0.958592,"AmazonCounterfactualClassification":0.647299875,"KorHateSpeechMLClassification":0.104762,"BelebeleRetrieval":0.7402316755319149,"AlloprofReranking":0.758424,"NordicLangClassification":0.4905,"StatcanDialogueDatasetRetrieval":0.1905825,"RuBQReranking":0.737447,"STSES":0.78657,"WikiClusteringP2P.v2":0.27066271428571426,"FinParaSTS":0.2214595,"OpusparcusPC":0.9274588333333332,"CataloniaTweetClassification":0.49121225,"GermanSTSBenchmark":0.7701955,"SwissJudgementClassification":0.5709913333333333,"MLQARetrieval":0.730980612244898,"SwednClusteringP2P":0.2599375,"DBpediaClassification":0.895508,"HagridRetrieval":0.98687,"TswanaNewsClassification":0.253799,"WikipediaRetrievalMultilingual":0.90495125,"ArguAna":0.5911,"MIRACLRetrievalHardNegatives":0.6653066666666666,"IsiZuluNewsClassification":0.239495,"DiaBlaBitextMining":0.804912,"LegalBenchCorporateLobbying":0.938,"EstonianValenceClassification":0.406724,"SinhalaNewsClassification":0.733203,"SprintDuplicateQuestions":0.96542,"CovidRetrieval":0.78526,"IndicCrosslingualSTS":0.4720138333333333,"Core17InstructionRetrieval":0.00432,"RTE3":0.86227475,"BibleNLPBitextMining":0.10271433272946859,"AfriSentiClassification":0.4412669166666667,"PAC":0.669041,"VoyageMMarcoReranking":0.66633,"GreekLegalCodeClassification":0.356958,"KurdishSentimentClassification":0.616709,"Robust04InstructionRetrieval":-0.076028,"TERRa":0.537924,"indonli":0.507387,"SpartQA":0.05736,"SentimentAnalysisHindi":0.560291,"ItaCaseholdClassification":0.681448,"OdiaNewsClassification":0.829321,"MasakhaNEWSClassification":0.743300875,"FinancialPhrasebankClassification":0.719832,"ArXivHierarchicalClusteringP2P":0.571874,"CLSClusteringP2P.v2":0.341997,"CTKFactsNLI":0.7449775000000001,"JSICK":0.815808,"STSB":0.72001,"FloresBitextMining":0.5471168098618758,"MacedonianTweetSentimentClassification":0.612906,"TweetTopicSingleClassification":0.655995,"SIB200ClusteringS2S":0.2542598578680203,"HALClusteringS2S.v2":0.249489,"BulgarianStoreReviewSentimentClassfication":0.592857,"CzechProductReviewSentimentClassification":0.497461,"PawsXPairClassification":0.5663767142857142,"FilipinoShopeeReviewsClassification":0.3175785,"SemRel24STS":0.6634601666666667,"BigPatentClustering.v2":0.341326,"ArXivHierarchicalClusteringS2S":0.531249,"AILAStatutes":0.2282,"MultiHateClassification":0.5910818181818182,"MasakhaNEWSClusteringS2S":0.4293865625,"DalajClassification":0.501802,"T2Reranking":0.67565,"WebLINXCandidatesReranking":0.0904805,"KorSarcasmClassification":0.584082,"NusaX-senti":0.6547708333333333,"StackExchangeClustering.v2":0.562998,"Tatoeba":0.6685067053571428,"PolEmo2.0-OUT":0.344939,"RomaniBibleClustering":0.396346,"STS22.v2":0.6868658333333334,"PoemSentimentClassification":0.5123759999999999,"IndicGenBenchFloresBitextMining":0.8474123017241378},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":64,"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":{"PairClassification":0.7707348005125975,"Reranking":0.5931385218701601,"Retrieval":0.49547512820938067,"InstructionReranking":-0.033578333333333335,"BitextMining":0.6948470038098188,"MultilabelClassification":0.19170805217391304},"scoresByTask":{"ScalaClassification":0.5032105,"IndonesianIdClickbaitClassification":0.577079,"SICK-R":0.7464910820402831,"SCIDOCS":0.16203,"PunjabiNewsClassification":0.773248,"AlloProfClusteringS2S.v2":0.443956,"SlovakMovieReviewSentimentClassification":0.608105,"WikipediaRerankingMultilingual":0.8515164375,"NTREXBitextMining":0.8437591847599164,"NusaParagraphEmotionClassification":0.4090934,"MassiveIntentClassification":0.600017294117647,"STS13":0.853226077419183,"CyrillicTurkicLangClassification":0.491943,"CSFDSKMovieReviewSentimentClassification":0.270703,"XNLI":0.7005838214285715,"CEDRClassification":0.373539,"WinoGrande":0.44663,"IN22GenBitextMining":0.7233999130434782,"NusaTranslationBitextMining":0.7243029090909091,"TwitterURLCorpus":0.8647944792205788,"PpcPC":0.841219,"TwitterHjerneRetrieval":0.38095,"MalteseNewsClassification":0.27414,"STS12":0.7939117869636217,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.9769545,"SwahiliNewsClassification":0.622559,"BiorxivClusteringP2P.v2":0.375005,"STS14":0.8389978896960656,"BornholmBitextMining":0.413151,"FaroeseSTS":0.764524,"WikiCitiesClustering":0.745781,"NusaXBitextMining":0.6696657272727273,"STSBenchmark":0.860757276289371,"StackOverflowQA":0.75573,"MultiEURLEXMultilabelClassification":0.042158260869565214,"NorwegianCourtsBitextMining":0.919591,"PlscClusteringP2P.v2":0.698678,"ToxicConversationsClassification":0.625244140625,"BrazilianToxicTweetsClassification":0.17749,"IndicLangClassification":0.262966,"News21InstructionRetrieval":-0.002579,"GujaratiNewsClassification":0.755766,"SiswatiNewsClassification":0.78375,"NollySentiBitextMining":0.56784125,"STS15":0.8846744045180212,"TempReasonL1":0.00837,"MedrxivClusteringP2P.v2":0.341211,"TRECCOVID":0.4678899999999999,"NepaliNewsClassification":0.937695,"ArmenianParaphrasePC":0.940549,"AmazonCounterfactualClassification":0.7179005,"KorHateSpeechMLClassification":0.091213,"BelebeleRetrieval":0.7073439361702127,"AlloprofReranking":0.6843888603876276,"NordicLangClassification":0.643267,"StatcanDialogueDatasetRetrieval":0.16286,"RuBQReranking":0.672373,"STSES":0.809764,"WikiClusteringP2P.v2":0.2669119285714286,"FinParaSTS":0.1783505,"OpusparcusPC":0.9309369166666667,"CataloniaTweetClassification":0.46932475,"GermanSTSBenchmark":0.830576,"SwissJudgementClassification":0.5367206666666666,"MLQARetrieval":0.666303163265306,"SwednClusteringP2P":0.391231,"DBpediaClassification":0.918359,"HagridRetrieval":0.98742,"TswanaNewsClassification":0.402464,"WikipediaRetrievalMultilingual":0.856656875,"ArguAna":0.53594,"MIRACLRetrievalHardNegatives":0.47061833333333336,"IsiZuluNewsClassification":0.307979,"DiaBlaBitextMining":0.820914,"LegalBenchCorporateLobbying":0.91127,"EstonianValenceClassification":0.367359,"SinhalaNewsClassification":0.69248,"SprintDuplicateQuestions":0.9453929097513268,"CovidRetrieval":0.727,"IndicCrosslingualSTS":0.47767000000000004,"Core17InstructionRetrieval":0.012404,"RTE3":0.88485025,"BibleNLPBitextMining":0.136999288647343,"AfriSentiClassification":0.44440474999999996,"PAC":0.67993,"VoyageMMarcoReranking":0.571518,"GreekLegalCodeClassification":0.426245,"KurdishSentimentClassification":0.760845,"Robust04InstructionRetrieval":-0.11056,"TERRa":0.554003,"indonli":0.519879,"SpartQA":0.03025,"SentimentAnalysisHindi":0.569476,"ItaCaseholdClassification":0.79276,"OdiaNewsClassification":0.756353,"FinancialPhrasebankClassification":0.773984,"ArXivHierarchicalClusteringP2P":0.552794,"CLSClusteringP2P.v2":0.379576,"CTKFactsNLI":0.7506360000000001,"JSICK":0.813258,"STSB":0.813666,"FloresBitextMining":0.68664118096204,"MacedonianTweetSentimentClassification":0.56734,"TweetTopicSingleClassification":0.699646,"SIB200ClusteringS2S":0.31046910659898475,"HALClusteringS2S.v2":0.24141,"BulgarianStoreReviewSentimentClassfication":0.531868,"CzechProductReviewSentimentClassification":0.477979,"PawsXPairClassification":0.5452384285714286,"FilipinoShopeeReviewsClassification":0.323682,"SemRel24STS":0.65514025,"BigPatentClustering.v2":0.293111,"ArXivHierarchicalClusteringS2S":0.525221,"AILAStatutes":0.25879,"MultiHateClassification":0.5781727272727273,"DalajClassification":0.497748,"T2Reranking":0.665662,"WebLINXCandidatesReranking":0.11337283333333333,"KorSarcasmClassification":0.565918,"NusaX-senti":0.6332916666666667,"StackExchangeClustering.v2":0.505889,"Tatoeba":0.6719917767857143,"PolEmo2.0-OUT":0.350202,"RomaniBibleClustering":0.398554,"STS22.v2":0.6836987222222223,"PoemSentimentClassification":0.473283,"IndicGenBenchFloresBitextMining":0.8777993189655172},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark","XNLI"],"experiments":null},{"rank":65,"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":{"STS":0.6339146030618686,"Classification":0.5811039397064006,"Clustering":0.4178263835688225,"PairClassification":0.7579014512987015,"Reranking":0.6586953958333334,"Retrieval":0.6335120651321009,"InstructionReranking":0.04657133333333333,"BitextMining":0.5790262198172992,"MultilabelClassification":0.1880595565217391},"scoresByTask":{"ScalaClassification":0.505432,"IndonesianIdClickbaitClassification":0.602708,"SICK-R":0.716452,"SCIDOCS":0.2222,"PunjabiNewsClassification":0.817197,"AlloProfClusteringS2S.v2":0.457632,"SlovakMovieReviewSentimentClassification":0.721924,"WikipediaRerankingMultilingual":0.896569375,"NTREXBitextMining":0.6656014243215032,"NusaParagraphEmotionClassification":0.4422786,"MassiveIntentClassification":0.5286404607843137,"STS13":0.730436,"CyrillicTurkicLangClassification":0.481885,"CSFDSKMovieReviewSentimentClassification":0.345654,"XNLI":0.6489964285714286,"CEDRClassification":0.357386,"WinoGrande":0.54413,"IN22GenBitextMining":0.710224671936759,"NusaTranslationBitextMining":0.5796737272727273,"TwitterURLCorpus":0.783682,"PpcPC":0.87932,"TwitterHjerneRetrieval":0.77563,"MalteseNewsClassification":0.298172,"STS12":0.704834,"LEMBPasskeyRetrieval":0.945,"BUCC.v2":0.9712259999999999,"SwahiliNewsClassification":0.629297,"BiorxivClusteringP2P.v2":0.401164,"STS14":0.676597,"BornholmBitextMining":0.270516,"FaroeseSTS":0.585503,"WikiCitiesClustering":0.842725,"NusaXBitextMining":0.5635441818181818,"STSBenchmark":0.69453,"StackOverflowQA":0.92573,"MultiEURLEXMultilabelClassification":0.044474782608695654,"NorwegianCourtsBitextMining":0.931287,"PlscClusteringP2P.v2":0.686625,"ToxicConversationsClassification":0.612158,"BrazilianToxicTweetsClassification":0.180029,"IndicLangClassification":0.453814,"News21InstructionRetrieval":0.018314,"GujaratiNewsClassification":0.8261,"SiswatiNewsClassification":0.50875,"STS17":0.6874284545454545,"NollySentiBitextMining":0.2756535,"STS15":0.747482,"TempReasonL1":0.01637,"MedrxivClusteringP2P.v2":0.359324,"TRECCOVID":0.78394,"NepaliNewsClassification":0.92373,"ArmenianParaphrasePC":0.942539,"AmazonCounterfactualClassification":0.6462995,"KorHateSpeechMLClassification":0.060236,"BelebeleRetrieval":0.7774963829787234,"AlloprofReranking":0.83486,"NordicLangClassification":0.546667,"StatcanDialogueDatasetRetrieval":0.4788625,"RuBQReranking":0.74762,"STSES":0.7269,"WikiClusteringP2P.v2":0.2619545714285714,"FinParaSTS":0.282694,"OpusparcusPC":0.91845275,"CataloniaTweetClassification":0.4937165,"GermanSTSBenchmark":0.6675409999999999,"SwissJudgementClassification":0.5716003333333334,"MLQARetrieval":0.7748037755102041,"SwednClusteringP2P":0.289142,"DBpediaClassification":0.900195,"HagridRetrieval":0.99025,"TswanaNewsClassification":0.322382,"WikipediaRetrievalMultilingual":0.9065006250000001,"ArguAna":0.49516,"MIRACLRetrievalHardNegatives":0.5966838888888889,"IsiZuluNewsClassification":0.243351,"DiaBlaBitextMining":0.78158,"LegalBenchCorporateLobbying":0.95008,"EstonianValenceClassification":0.419927,"SinhalaNewsClassification":0.601953,"SprintDuplicateQuestions":0.864682,"CovidRetrieval":0.80302,"IndicCrosslingualSTS":0.3667233333333333,"Core17InstructionRetrieval":0.095967,"RTE3":0.8718885000000001,"BibleNLPBitextMining":0.07324195350241545,"AfriSentiClassification":0.4163361666666667,"PAC":0.667622,"VoyageMMarcoReranking":0.6623,"GreekLegalCodeClassification":0.3981445,"KurdishSentimentClassification":0.645697,"Robust04InstructionRetrieval":0.025433,"TERRa":0.53398,"indonli":0.52697,"SpartQA":0.03885,"SentimentAnalysisHindi":0.579776,"ItaCaseholdClassification":0.653394,"OdiaNewsClassification":0.740924,"MasakhaNEWSClassification":0.7433119375,"FinancialPhrasebankClassification":0.784011,"ArXivHierarchicalClusteringP2P":0.584845,"CLSClusteringP2P.v2":0.32252,"CTKFactsNLI":0.7724245000000001,"JSICK":0.708445,"STSB":0.625981,"FloresBitextMining":0.47315132734473103,"MacedonianTweetSentimentClassification":0.516506,"TweetTopicSingleClassification":0.660307,"SIB200ClusteringS2S":0.18075687817258884,"HALClusteringS2S.v2":0.231296,"BulgarianStoreReviewSentimentClassfication":0.619231,"CzechProductReviewSentimentClassification":0.535205,"PawsXPairClassification":0.5939807857142857,"FilipinoShopeeReviewsClassification":0.3368655,"SemRel24STS":0.51323525,"BigPatentClustering.v2":0.320124,"ArXivHierarchicalClusteringS2S":0.525936,"AILAStatutes":0.37851,"MultiHateClassification":0.7000909090909091,"MasakhaNEWSClusteringS2S":0.3444236875,"DalajClassification":0.50214,"T2Reranking":0.68828,"WebLINXCandidatesReranking":0.122543,"KorSarcasmClassification":0.59458,"NusaX-senti":0.683875,"StackExchangeClustering.v2":0.501685,"Tatoeba":0.46545132142857143,"PolEmo2.0-OUT":0.529352,"RomaniBibleClustering":0.375069,"STS22.v2":0.7078516111111112,"PoemSentimentClassification":0.534441,"IndicGenBenchFloresBitextMining":0.76618975},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":66,"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":0.5680508264131752,"meanTaskType":0.4930433401998595,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6766375868055555,"Classification":0.5908990798434067,"Clustering":0.46200153545084754,"PairClassification":0.7672457240259739,"Reranking":0.5964911736111111,"Retrieval":0.5459169116001404,"InstructionReranking":-0.022399000000000002,"BitextMining":0.6133536504617005,"MultilabelClassification":0.2072434},"scoresByTask":{"ScalaClassification":0.51257325,"IndonesianIdClickbaitClassification":0.579068,"SICK-R":0.790715,"SCIDOCS":0.18088,"PunjabiNewsClassification":0.692994,"AlloProfClusteringS2S.v2":0.426973,"SlovakMovieReviewSentimentClassification":0.730322,"WikipediaRerankingMultilingual":0.814951875,"NTREXBitextMining":0.7077568324634655,"NusaParagraphEmotionClassification":0.42052949999999995,"MassiveIntentClassification":0.5286502647058824,"STS13":0.792234,"CyrillicTurkicLangClassification":0.705518,"CSFDSKMovieReviewSentimentClassification":0.297656,"XNLI":0.6912235714285714,"CEDRClassification":0.441073,"WinoGrande":0.3529,"IN22GenBitextMining":0.5333162332015811,"NusaTranslationBitextMining":0.7082497272727273,"TwitterURLCorpus":0.862675,"PpcPC":0.865357,"TwitterHjerneRetrieval":0.57122,"MalteseNewsClassification":0.284763,"STS12":0.761098,"LEMBPasskeyRetrieval":0.905,"BUCC.v2":0.98274125,"SwahiliNewsClassification":0.56001,"BiorxivClusteringP2P.v2":0.41231,"STS14":0.766278,"BornholmBitextMining":0.368692,"FaroeseSTS":0.568217,"WikiCitiesClustering":0.75611,"NusaXBitextMining":0.6272215454545454,"STSBenchmark":0.838036,"StackOverflowQA":0.80605,"MultiEURLEXMultilabelClassification":0.04174,"NorwegianCourtsBitextMining":0.915205,"PlscClusteringP2P.v2":0.725797,"ToxicConversationsClassification":0.676514,"BrazilianToxicTweetsClassification":0.197998,"IndicLangClassification":0.829266,"News21InstructionRetrieval":0.023091,"GujaratiNewsClassification":0.721927,"SiswatiNewsClassification":0.7225,"STS17":0.72838,"NollySentiBitextMining":0.40143324999999996,"STS15":0.843521,"TempReasonL1":0.00748,"MedrxivClusteringP2P.v2":0.403121,"TRECCOVID":0.76012,"NepaliNewsClassification":0.944678,"ArmenianParaphrasePC":0.925333,"AmazonCounterfactualClassification":0.716999125,"KorHateSpeechMLClassification":0.070643,"BelebeleRetrieval":0.567181835106383,"AlloprofReranking":0.73899,"NordicLangClassification":0.603867,"StatcanDialogueDatasetRetrieval":0.188745,"RuBQReranking":0.66447,"STSES":0.732052,"WikiClusteringP2P.v2":0.2782314285714286,"FinParaSTS":0.1752195,"OpusparcusPC":0.9309742499999999,"CataloniaTweetClassification":0.45651975,"GermanSTSBenchmark":0.760337,"SwissJudgementClassification":0.5508493333333333,"MLQARetrieval":0.5910047959183673,"SwednClusteringP2P":0.4195065,"DBpediaClassification":0.931494,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.28501,"WikipediaRetrievalMultilingual":0.80923,"ArguAna":0.50818,"MIRACLRetrievalHardNegatives":0.5584027777777778,"IsiZuluNewsClassification":0.242553,"DiaBlaBitextMining":0.830284,"LegalBenchCorporateLobbying":0.9326,"EstonianValenceClassification":0.360636,"SinhalaNewsClassification":0.61875,"SprintDuplicateQuestions":0.960096,"CovidRetrieval":0.76817,"IndicCrosslingualSTS":0.228715,"Core17InstructionRetrieval":-0.009425,"RTE3":0.8717145,"BibleNLPBitextMining":0.10479741304347825,"AfriSentiClassification":0.40548925,"PAC":0.666377,"VoyageMMarcoReranking":0.59318,"GreekLegalCodeClassification":0.375342,"KurdishSentimentClassification":0.656719,"Robust04InstructionRetrieval":-0.080863,"TERRa":0.536541,"indonli":0.517515,"SpartQA":0.08338,"SentimentAnalysisHindi":0.633183,"ItaCaseholdClassification":0.630317,"OdiaNewsClassification":0.525449,"MasakhaNEWSClassification":0.6976466875,"FinancialPhrasebankClassification":0.85561,"ArXivHierarchicalClusteringP2P":0.612727,"CLSClusteringP2P.v2":0.409057,"CTKFactsNLI":0.752312,"JSICK":0.806304,"STSB":0.7956975,"FloresBitextMining":0.49729349212788565,"MacedonianTweetSentimentClassification":0.509833,"TweetTopicSingleClassification":0.74495,"SIB200ClusteringS2S":0.30074307614213197,"HALClusteringS2S.v2":0.274754,"BulgarianStoreReviewSentimentClassfication":0.61978,"CzechProductReviewSentimentClassification":0.539746,"PawsXPairClassification":0.5259616428571429,"FilipinoShopeeReviewsClassification":0.3184325,"SemRel24STS":0.5867091666666667,"BigPatentClustering.v2":0.342098,"ArXivHierarchicalClusteringS2S":0.547889,"AILAStatutes":0.24827,"MultiHateClassification":0.5953272727272728,"MasakhaNEWSClusteringS2S":0.4995425625,"DalajClassification":0.498874,"T2Reranking":0.66547,"WebLINXCandidatesReranking":0.10188516666666665,"KorSarcasmClassification":0.54624,"NusaX-senti":0.6316875,"StackExchangeClustering.v2":0.582015,"Tatoeba":0.5340046607142857,"PolEmo2.0-OUT":0.625101,"RomaniBibleClustering":0.40115,"STS22.v2":0.6526882222222222,"PoemSentimentClassification":0.643672,"IndicGenBenchFloresBitextMining":0.762602051724138},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":67,"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":{"STS":0.716446773989899,"Classification":0.5481510288697509,"Clustering":0.4239469129067712,"PairClassification":0.7646650768398268,"Reranking":0.6053908680555556,"Retrieval":0.5627437209031564,"InstructionReranking":-0.03340566666666666,"BitextMining":0.7308040069715798,"MultilabelClassification":0.18593881739130436},"scoresByTask":{"ScalaClassification":0.50102525,"IndonesianIdClickbaitClassification":0.57829,"SICK-R":0.719193,"SCIDOCS":0.19432,"PunjabiNewsClassification":0.792357,"AlloProfClusteringS2S.v2":0.325517,"SlovakMovieReviewSentimentClassification":0.610693,"WikipediaRerankingMultilingual":0.855746875,"NTREXBitextMining":0.8686474556367432,"NusaParagraphEmotionClassification":0.41274829999999996,"MassiveIntentClassification":0.5317728921568627,"STS13":0.803475,"CyrillicTurkicLangClassification":0.313037,"CSFDSKMovieReviewSentimentClassification":0.270898,"XNLI":0.67526025,"CEDRClassification":0.39187,"WinoGrande":0.59285,"IN22GenBitextMining":0.7577070434782609,"NusaTranslationBitextMining":0.7771548181818182,"TwitterURLCorpus":0.85333,"PpcPC":0.803747,"TwitterHjerneRetrieval":0.56723,"MalteseNewsClassification":0.214062,"STS12":0.766207,"LEMBPasskeyRetrieval":0.85,"BUCC.v2":0.98124,"SwahiliNewsClassification":0.616553,"BiorxivClusteringP2P.v2":0.391591,"STS14":0.778922,"BornholmBitextMining":0.49181,"FaroeseSTS":0.728211,"WikiCitiesClustering":0.893985,"NusaXBitextMining":0.7177084545454545,"STSBenchmark":0.8445,"StackOverflowQA":0.74779,"MultiEURLEXMultilabelClassification":0.03854608695652174,"NorwegianCourtsBitextMining":0.934211,"PlscClusteringP2P.v2":0.705173,"ToxicConversationsClassification":0.682471,"BrazilianToxicTweetsClassification":0.201465,"IndicLangClassification":0.148034,"News21InstructionRetrieval":-0.015607,"GujaratiNewsClassification":0.733915,"SiswatiNewsClassification":0.625,"STS17":0.7547332727272728,"NollySentiBitextMining":0.6528775,"STS15":0.872158,"TempReasonL1":0.01059,"MedrxivClusteringP2P.v2":0.352208,"TRECCOVID":0.53351,"NepaliNewsClassification":0.937549,"ArmenianParaphrasePC":0.941869,"AmazonCounterfactualClassification":0.695075875,"KorHateSpeechMLClassification":0.083751,"BelebeleRetrieval":0.6971394946808511,"AlloprofReranking":0.68693,"NordicLangClassification":0.382067,"StatcanDialogueDatasetRetrieval":0.226895,"RuBQReranking":0.64266,"STSES":0.789767,"WikiClusteringP2P.v2":0.26139635714285714,"FinParaSTS":0.2176715,"OpusparcusPC":0.9295704166666666,"CataloniaTweetClassification":0.472213,"GermanSTSBenchmark":0.8098110000000001,"SwissJudgementClassification":0.5580933333333333,"MLQARetrieval":0.6748975510204082,"SwednClusteringP2P":0.335741,"DBpediaClassification":0.836963,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.445791,"WikipediaRetrievalMultilingual":0.860239375,"ArguAna":0.55413,"MIRACLRetrievalHardNegatives":0.5349655555555555,"IsiZuluNewsClassification":0.350266,"DiaBlaBitextMining":0.841068,"LegalBenchCorporateLobbying":0.91777,"EstonianValenceClassification":0.369315,"SinhalaNewsClassification":0.638135,"SprintDuplicateQuestions":0.963094,"CovidRetrieval":0.72037,"IndicCrosslingualSTS":0.4489235833333333,"Core17InstructionRetrieval":-0.018576,"RTE3":0.87154675,"BibleNLPBitextMining":0.19171301328502413,"AfriSentiClassification":0.43905174999999996,"PAC":0.679902,"VoyageMMarcoReranking":0.65336,"GreekLegalCodeClassification":0.3199705,"KurdishSentimentClassification":0.76618,"Robust04InstructionRetrieval":-0.066034,"TERRa":0.576336,"indonli":0.520826,"SpartQA":0.12036,"SentimentAnalysisHindi":0.558973,"ItaCaseholdClassification":0.661538,"OdiaNewsClassification":0.702916,"MasakhaNEWSClassification":0.76352125,"FinancialPhrasebankClassification":0.706979,"ArXivHierarchicalClusteringP2P":0.54496,"CLSClusteringP2P.v2":0.357288,"CTKFactsNLI":0.7404044999999999,"JSICK":0.829796,"STSB":0.7960095,"FloresBitextMining":0.7156557211436299,"MacedonianTweetSentimentClassification":0.5741,"TweetTopicSingleClassification":0.679327,"SIB200ClusteringS2S":0.24396062436548224,"HALClusteringS2S.v2":0.235405,"BulgarianStoreReviewSentimentClassfication":0.458791,"CzechProductReviewSentimentClassification":0.474268,"PawsXPairClassification":0.5353319285714285,"FilipinoShopeeReviewsClassification":0.3109135,"SemRel24STS":0.6262045833333333,"BigPatentClustering.v2":0.308073,"ArXivHierarchicalClusteringS2S":0.521138,"AILAStatutes":0.33939,"MultiHateClassification":0.5831090909090909,"MasakhaNEWSClusteringS2S":0.378243625,"DalajClassification":0.500563,"T2Reranking":0.66668,"WebLINXCandidatesReranking":0.12696833333333332,"KorSarcasmClassification":0.54585,"NusaX-senti":0.639125,"StackExchangeClustering.v2":0.515445,"Tatoeba":0.6757816964285714,"PolEmo2.0-OUT":0.228543,"RomaniBibleClustering":0.413026,"STS22.v2":0.6775659444444444,"PoemSentimentClassification":0.4746105,"IndicGenBenchFloresBitextMining":0.8948773879310344},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","PawsXPairClassification"],"experiments":null},{"rank":68,"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":0.5702229678407706,"meanTaskType":0.498238455165708,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7144424898041946,"Classification":0.5820495169519949,"Clustering":0.41815426899296393,"PairClassification":0.771791595896529,"Reranking":0.6017636038075228,"Retrieval":0.5272182269168503,"InstructionReranking":-0.02653979464467561,"BitextMining":0.6953253244180568,"MultilabelClassification":0.19994086434793512},"scoresByTask":{"ScalaClassification":0.5088625,"IndonesianIdClickbaitClassification":0.6005877150630511,"SICK-R":0.7851396550478342,"SCIDOCS":0.17168,"PunjabiNewsClassification":0.8070063694267517,"AlloProfClusteringS2S.v2":0.3411318975061236,"SlovakMovieReviewSentimentClassification":0.6462890625,"WikipediaRerankingMultilingual":0.8773647652116402,"NTREXBitextMining":0.8490554151366932,"NusaParagraphEmotionClassification":0.38301886855471595,"MassiveIntentClassification":0.5417837825100603,"STS13":0.7802330106775197,"CyrillicTurkicLangClassification":0.49609375,"CSFDSKMovieReviewSentimentClassification":0.319970703125,"XNLI":0.7183810263243762,"CEDRClassification":0.4232199787460149,"WinoGrande":0.56177,"IN22GenBitextMining":0.7412770701267871,"NusaTranslationBitextMining":0.6351884057936822,"TwitterURLCorpus":0.8548080278022832,"PpcPC":0.882969,"TwitterHjerneRetrieval":0.42163,"MalteseNewsClassification":0.2575097953852852,"STS12":0.7669682068361314,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.9832702432332955,"SwahiliNewsClassification":0.62568359375,"BiorxivClusteringP2P.v2":0.38867753499529095,"STS14":0.7659646479642243,"BornholmBitextMining":0.3321808524808525,"FaroeseSTS":0.6632589857661965,"WikiCitiesClustering":0.7987175879554366,"NusaXBitextMining":0.6801095412477435,"STSBenchmark":0.8563930748879539,"StackOverflowQA":0.85113,"MultiEURLEXMultilabelClassification":0.03973565217391305,"NorwegianCourtsBitextMining":0.8954678362573099,"PlscClusteringP2P.v2":0.7068204996394601,"ToxicConversationsClassification":0.643310546875,"BrazilianToxicTweetsClassification":0.18999,"IndicLangClassification":0.22861134854362547,"News21InstructionRetrieval":-0.011437673339867031,"GujaratiNewsClassification":0.7490895295902883,"SiswatiNewsClassification":0.47000000000000003,"STS17":0.783495220311829,"NollySentiBitextMining":0.6340499424698008,"STS15":0.8815964513683959,"TempReasonL1":0.00723,"MedrxivClusteringP2P.v2":0.33508773965624533,"TRECCOVID":0.69492,"NepaliNewsClassification":0.8935546875,"ArmenianParaphrasePC":0.936790154244407,"AmazonCounterfactualClassification":0.7433401424126785,"KorHateSpeechMLClassification":0.08924889543446245,"BelebeleRetrieval":0.7072227925531915,"AlloprofReranking":0.6589715207937976,"NordicLangClassification":0.7585333333333334,"StatcanDialogueDatasetRetrieval":0.13721,"RuBQReranking":0.7201216785249704,"STSES":0.8163465862445543,"WikiClusteringP2P.v2":0.2502530930365376,"FinParaSTS":0.2272335634612951,"OpusparcusPC":0.9275231752459785,"CataloniaTweetClassification":0.4919375,"GermanSTSBenchmark":0.8132822872718026,"SwissJudgementClassification":0.5644293593039112,"MLQARetrieval":0.7024126530612245,"SwednClusteringP2P":0.3525218788316018,"DBpediaClassification":0.87099609375,"HagridRetrieval":0.98766,"TswanaNewsClassification":0.4102669404517454,"WikipediaRetrievalMultilingual":0.8875087500000001,"ArguAna":0.44206,"MIRACLRetrievalHardNegatives":0.6276438888888889,"IsiZuluNewsClassification":0.3147606382978723,"DiaBlaBitextMining":0.846981,"LegalBenchCorporateLobbying":0.88968,"EstonianValenceClassification":0.4123471882640587,"SinhalaNewsClassification":0.6578125,"SprintDuplicateQuestions":0.9301551354758207,"CovidRetrieval":0.73482,"IndicCrosslingualSTS":0.41113889998269176,"Core17InstructionRetrieval":0.006114242835247392,"RTE3":0.8725055958403447,"BibleNLPBitextMining":0.1399684043394193,"AfriSentiClassification":0.4380231465026481,"PAC":0.7086591369823342,"VoyageMMarcoReranking":0.634995917570887,"GreekLegalCodeClassification":0.290283203125,"KurdishSentimentClassification":0.7640664318067438,"Robust04InstructionRetrieval":-0.07429595342940719,"TERRa":0.5498367488012741,"indonli":0.5096618305531675,"SpartQA":0.07914,"SentimentAnalysisHindi":0.6464383926809989,"ItaCaseholdClassification":0.6153846153846153,"OdiaNewsClassification":0.7728424148535061,"MasakhaNEWSClassification":0.7384936549130209,"FinancialPhrasebankClassification":0.8209363957597173,"ArXivHierarchicalClusteringP2P":0.5668313660694407,"CLSClusteringP2P.v2":0.38979458846690196,"CTKFactsNLI":0.7824458549656494,"JSICK":0.8122589759302916,"STSB":0.8068840851794232,"FloresBitextMining":0.7455973945233266,"MacedonianTweetSentimentClassification":0.6063213345039509,"TweetTopicSingleClassification":0.6744240992321322,"SIB200ClusteringS2S":0.21623275261146016,"HALClusteringS2S.v2":0.20560850388912005,"BulgarianStoreReviewSentimentClassfication":0.6939560439560439,"CzechProductReviewSentimentClassification":0.544970703125,"PawsXPairClassification":0.5246310056085185,"FilipinoShopeeReviewsClassification":0.3419921875,"SemRel24STS":0.6148645709140282,"BigPatentClustering.v2":0.3336996076385371,"ArXivHierarchicalClusteringS2S":0.5611505558712511,"AILAStatutes":0.20371,"MultiHateClassification":0.5951,"MasakhaNEWSClusteringS2S":0.3941257535325063,"DalajClassification":0.4975225225225225,"T2Reranking":0.6486420736157057,"WebLINXCandidatesReranking":0.07048566712813642,"KorSarcasmClassification":0.5470703125,"NusaX-senti":0.6875625,"StackExchangeClustering.v2":0.445731971756278,"Tatoeba":0.6805819069367823,"PolEmo2.0-OUT":0.4392712550607287,"RomaniBibleClustering":0.40408297243123215,"STS22.v2":0.6460216150229415,"PoemSentimentClassification":0.4665247252747253,"IndicGenBenchFloresBitextMining":0.8755012048890468},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":69,"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":{"Clustering":0.460666080890479,"InstructionReranking":-0.02382847790034975,"BitextMining":0.5037709775206903,"MultilabelClassification":0.19919117395091068},"scoresByTask":{"ScalaClassification":0.504309,"IndonesianIdClickbaitClassification":0.5878382402893776,"SICK-R":0.7673167594,"SCIDOCS":0.20797,"PunjabiNewsClassification":0.689171974522293,"AlloProfClusteringS2S.v2":0.5213000030232618,"SlovakMovieReviewSentimentClassification":0.663623046875,"NTREXBitextMining":0.5279556572268727,"NusaParagraphEmotionClassification":0.40064298966272105,"MassiveIntentClassification":0.5173333235294117,"STS13":0.8491997414,"CyrillicTurkicLangClassification":0.55419921875,"CSFDSKMovieReviewSentimentClassification":0.3140625,"XNLI":0.6752916659328496,"CEDRClassification":0.39383634431455905,"WinoGrande":0.31526,"IN22GenBitextMining":0.1405340021243533,"NusaTranslationBitextMining":0.6820947612054312,"PpcPC":0.8461124320022559,"TwitterHjerneRetrieval":0.70883,"MalteseNewsClassification":0.26560731388767955,"STS12":0.7308926436,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.9858721749051333,"SwahiliNewsClassification":0.62431640625,"BiorxivClusteringP2P.v2":0.4025718174108642,"STS14":0.7981407149,"BornholmBitextMining":0.412929,"FaroeseSTS":0.6563423078970047,"WikiCitiesClustering":0.8982232121571151,"NusaXBitextMining":0.6041726383751299,"STSBenchmark":0.8423906519,"StackOverflowQA":0.88672,"MultiEURLEXMultilabelClassification":0.03927391304347826,"NorwegianCourtsBitextMining":0.924269,"PlscClusteringP2P.v2":0.7112288765757434,"ToxicConversationsClassification":0.719124,"BrazilianToxicTweetsClassification":0.2205078125,"IndicLangClassification":0.7561871260437899,"News21InstructionRetrieval":-0.018085227846059017,"GujaratiNewsClassification":0.5038694992412747,"SiswatiNewsClassification":0.6012500000000001,"NollySentiBitextMining":0.3275247020647606,"STS15":0.8801202172,"TempReasonL1":0.02348,"MedrxivClusteringP2P.v2":0.36448130580518867,"TRECCOVID":0.77903,"NepaliNewsClassification":0.7564453125,"ArmenianParaphrasePC":0.911406409809348,"KorHateSpeechMLClassification":0.07673048600883652,"BelebeleRetrieval":0.5540947074468084,"AlloprofReranking":0.7484190604835087,"NordicLangClassification":0.678933,"StatcanDialogueDatasetRetrieval":0.24115999999999999,"RuBQReranking":0.6599933069354724,"STSES":0.781869,"WikiClusteringP2P.v2":0.27465584202547777,"FinParaSTS":0.17413570572498877,"CataloniaTweetClassification":0.5087875,"GermanSTSBenchmark":0.8216816901357918,"SwissJudgementClassification":0.5754855605034818,"MLQARetrieval":0.5547270408163265,"SwednClusteringP2P":0.36220399999999997,"DBpediaClassification":0.889990234375,"HagridRetrieval":0.98781,"TswanaNewsClassification":0.30123203285420946,"ArguAna":0.55486,"IsiZuluNewsClassification":0.2680851063829787,"DiaBlaBitextMining":0.8576699300081345,"LegalBenchCorporateLobbying":0.93903,"EstonianValenceClassification":0.38728606356968215,"SinhalaNewsClassification":0.46708984375,"CovidRetrieval":0.61067,"IndicCrosslingualSTS":0.04129674535283759,"Core17InstructionRetrieval":0.011536596231932908,"RTE3":0.8612929481350924,"BibleNLPBitextMining":0.09814203093916309,"AfriSentiClassification":0.42238183334878693,"PAC":0.668288444830582,"VoyageMMarcoReranking":0.5348483307636431,"GreekLegalCodeClassification":0.18649902343750002,"KurdishSentimentClassification":0.627176648213387,"Robust04InstructionRetrieval":-0.06493680208692315,"TERRa":0.5372882766621385,"indonli":0.5071241965194344,"SpartQA":0.06627,"SentimentAnalysisHindi":0.4434969561728394,"ItaCaseholdClassification":0.629864253393665,"OdiaNewsClassification":0.4848585004583432,"MasakhaNEWSClassification":0.7015809227536728,"FinancialPhrasebankClassification":0.7784893992932862,"ArXivHierarchicalClusteringP2P":0.5788295087642524,"CLSClusteringP2P.v2":0.3879678702859093,"CTKFactsNLI":0.7617649880678294,"JSICK":0.8080212135305126,"STSB":0.7778555263836353,"FloresBitextMining":0.31800995297901496,"MacedonianTweetSentimentClassification":0.4905179982440737,"TweetTopicSingleClassification":0.7123449497932663,"SIB200ClusteringS2S":0.22701765996486883,"HALClusteringS2S.v2":0.27265050122581785,"BulgarianStoreReviewSentimentClassfication":0.5318681318681318,"CzechProductReviewSentimentClassification":0.53330078125,"PawsXPairClassification":0.5748861297027198,"FilipinoShopeeReviewsClassification":0.343994140625,"SemRel24STS":0.6089785224623995,"BigPatentClustering.v2":0.3539869889979264,"ArXivHierarchicalClusteringS2S":0.5710651257728321,"AILAStatutes":0.28335,"MultiHateClassification":0.6033545454545455,"MasakhaNEWSClusteringS2S":0.43762602712637655,"DalajClassification":0.50045,"T2Reranking":0.6570913041914855,"WebLINXCandidatesReranking":0.11679498875910412,"KorSarcasmClassification":0.594287109375,"NusaX-senti":0.6422291666666667,"StackExchangeClustering.v2":0.5907183636054019,"Tatoeba":0.4889309434160839,"PolEmo2.0-OUT":0.31457489878542505,"RomaniBibleClustering":0.41613019150662744,"STS22.v2":0.6602746986805054,"PoemSentimentClassification":0.49945512820512816,"IndicGenBenchFloresBitextMining":0.18091791452489764},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":70,"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":{"STS":0.6819789330808081,"Classification":0.5793425303450026,"Clustering":0.4482171832906544,"PairClassification":0.7506683560606061,"Reranking":0.6029279340277777,"Retrieval":0.5860213400998697,"InstructionReranking":-0.011744333333333334,"BitextMining":0.6011951463117204},"scoresByTask":{"ScalaClassification":0.50880125,"IndonesianIdClickbaitClassification":0.630673,"SICK-R":0.766482,"SCIDOCS":0.19119,"PunjabiNewsClassification":0.805096,"AlloProfClusteringS2S.v2":0.460873,"SlovakMovieReviewSentimentClassification":0.649268,"WikipediaRerankingMultilingual":0.8803859375,"NTREXBitextMining":0.7010127599164927,"NusaParagraphEmotionClassification":0.4005657,"MassiveIntentClassification":0.5656881862745098,"STS13":0.765052,"CyrillicTurkicLangClassification":0.419971,"CSFDSKMovieReviewSentimentClassification":0.327881,"XNLI":0.620543,"CEDRClassification":0.375611,"WinoGrande":0.41167,"IN22GenBitextMining":0.6752190533596838,"NusaTranslationBitextMining":0.6357760909090909,"TwitterURLCorpus":0.840877,"PpcPC":0.851091,"TwitterHjerneRetrieval":0.72655,"MalteseNewsClassification":0.304179,"STS12":0.70758,"LEMBPasskeyRetrieval":0.8475,"BUCC.v2":0.96477375,"SwahiliNewsClassification":0.623047,"BiorxivClusteringP2P.v2":0.400315,"STS14":0.719166,"BornholmBitextMining":0.40006,"FaroeseSTS":0.76202,"WikiCitiesClustering":0.828504,"NusaXBitextMining":0.5184908181818182,"STSBenchmark":0.785603,"StackOverflowQA":0.89412,"NorwegianCourtsBitextMining":0.925439,"PlscClusteringP2P.v2":0.7077,"ToxicConversationsClassification":0.618604,"BrazilianToxicTweetsClassification":0.196729,"IndicLangClassification":0.323424,"News21InstructionRetrieval":0.001284,"GujaratiNewsClassification":0.826176,"SiswatiNewsClassification":0.61875,"STS17":0.7304648181818183,"NollySentiBitextMining":0.35818500000000003,"STS15":0.811019,"TempReasonL1":0.01849,"MedrxivClusteringP2P.v2":0.363005,"TRECCOVID":0.76499,"NepaliNewsClassification":0.94917,"ArmenianParaphrasePC":0.952588,"AmazonCounterfactualClassification":0.646352625,"KorHateSpeechMLClassification":0.08218,"BelebeleRetrieval":0.7111597340425532,"AlloprofReranking":0.750166,"NordicLangClassification":0.489233,"StatcanDialogueDatasetRetrieval":0.2827925,"RuBQReranking":0.678469,"STSES":0.805674,"WikiClusteringP2P.v2":0.27813935714285715,"FinParaSTS":0.241568,"OpusparcusPC":0.9337419166666666,"CataloniaTweetClassification":0.49402925000000003,"GermanSTSBenchmark":0.715301,"SwissJudgementClassification":0.553464,"MLQARetrieval":0.684669387755102,"SwednClusteringP2P":0.3695465,"DBpediaClassification":0.912109,"HagridRetrieval":0.98692,"TswanaNewsClassification":0.360164,"WikipediaRetrievalMultilingual":0.8911275,"ArguAna":0.60139,"MIRACLRetrievalHardNegatives":0.48659500000000006,"IsiZuluNewsClassification":0.240559,"DiaBlaBitextMining":0.701092,"LegalBenchCorporateLobbying":0.94528,"EstonianValenceClassification":0.416626,"SinhalaNewsClassification":0.73208,"SprintDuplicateQuestions":0.894701,"CovidRetrieval":0.74909,"IndicCrosslingualSTS":0.31913058333333333,"Core17InstructionRetrieval":0.004102,"RTE3":0.8602375,"BibleNLPBitextMining":0.07592161473429951,"AfriSentiClassification":0.416541,"PAC":0.703533,"VoyageMMarcoReranking":0.551724,"GreekLegalCodeClassification":0.36845700000000003,"KurdishSentimentClassification":0.742174,"Robust04InstructionRetrieval":-0.040619,"TERRa":0.526819,"indonli":0.493848,"SpartQA":0.00452,"SentimentAnalysisHindi":0.530604,"ItaCaseholdClassification":0.683258,"OdiaNewsClassification":0.792925,"MasakhaNEWSClassification":0.7362516875,"FinancialPhrasebankClassification":0.799205,"ArXivHierarchicalClusteringP2P":0.568291,"CLSClusteringP2P.v2":0.378802,"CTKFactsNLI":0.737435,"JSICK":0.780621,"STSB":0.6758795,"FloresBitextMining":0.47154338730319717,"MacedonianTweetSentimentClassification":0.583494,"TweetTopicSingleClassification":0.712286,"SIB200ClusteringS2S":0.2945327005076142,"HALClusteringS2S.v2":0.24757,"BulgarianStoreReviewSentimentClassfication":0.631319,"CzechProductReviewSentimentClassification":0.531689,"PawsXPairClassification":0.5454705,"FilipinoShopeeReviewsClassification":0.299829,"SemRel24STS":0.6408604166666666,"BigPatentClustering.v2":0.337128,"ArXivHierarchicalClusteringS2S":0.551711,"AILAStatutes":0.35033,"MultiHateClassification":0.5891272727272727,"MasakhaNEWSClusteringS2S":0.429780375,"DalajClassification":0.5,"T2Reranking":0.653961,"WebLINXCandidatesReranking":0.10286166666666667,"KorSarcasmClassification":0.578516,"NusaX-senti":0.6578958333333333,"StackExchangeClustering.v2":0.562448,"Tatoeba":0.6192001517857142,"PolEmo2.0-OUT":0.419838,"RomaniBibleClustering":0.393129,"STS22.v2":0.685241611111111,"PoemSentimentClassification":0.523054,"IndicGenBenchFloresBitextMining":0.7688232758620689},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":71,"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":{"STS":0.685178005050505,"PairClassification":0.761847051948052,"Reranking":0.6336415381944445,"Retrieval":0.6617770187218899,"InstructionReranking":0.013462999999999998,"BitextMining":0.6003410770796014},"scoresByTask":{"ScalaClassification":0.50617675,"IndonesianIdClickbaitClassification":0.609775,"SICK-R":0.796314,"SCIDOCS":0.21429,"AlloProfClusteringS2S.v2":0.45564,"SlovakMovieReviewSentimentClassification":0.748291,"WikipediaRerankingMultilingual":0.8816955625,"NTREXBitextMining":0.7110175438413361,"NusaParagraphEmotionClassification":0.4585399,"MassiveIntentClassification":0.5451384019607843,"STS13":0.805623,"CyrillicTurkicLangClassification":0.383643,"CSFDSKMovieReviewSentimentClassification":0.371826,"XNLI":0.6184222857142857,"CEDRClassification":0.361743,"WinoGrande":0.67744,"IN22GenBitextMining":0.740880747035573,"NusaTranslationBitextMining":0.5842362727272726,"TwitterURLCorpus":0.836063,"PpcPC":0.881605,"TwitterHjerneRetrieval":0.86646,"MalteseNewsClassification":0.290248,"STS12":0.695154,"LEMBPasskeyRetrieval":0.9475,"BUCC.v2":0.9668595,"SwahiliNewsClassification":0.600732,"BiorxivClusteringP2P.v2":0.394713,"STS14":0.733251,"BornholmBitextMining":0.346285,"FaroeseSTS":0.725055,"WikiCitiesClustering":0.836926,"NusaXBitextMining":0.4891163636363636,"STSBenchmark":0.795318,"StackOverflowQA":0.94335,"NorwegianCourtsBitextMining":0.905702,"PlscClusteringP2P.v2":0.700728,"ToxicConversationsClassification":0.607275,"BrazilianToxicTweetsClassification":0.182471,"IndicLangClassification":0.251693,"News21InstructionRetrieval":0.045874,"GujaratiNewsClassification":0.876328,"SiswatiNewsClassification":0.62625,"STS17":0.7624326363636363,"NollySentiBitextMining":0.31324,"STS15":0.803908,"TempReasonL1":0.01233,"MedrxivClusteringP2P.v2":0.351939,"TRECCOVID":0.8046,"NepaliNewsClassification":0.923779,"ArmenianParaphrasePC":0.963822,"AmazonCounterfactualClassification":0.61511225,"KorHateSpeechMLClassification":0.086352,"BelebeleRetrieval":0.7653593882978723,"AlloprofReranking":0.846541,"NordicLangClassification":0.470267,"StatcanDialogueDatasetRetrieval":0.49170749999999996,"RuBQReranking":0.726014,"STSES":0.725128,"WikiClusteringP2P.v2":0.2686537857142857,"FinParaSTS":0.2251015,"OpusparcusPC":0.9361134999999999,"CataloniaTweetClassification":0.5091697500000001,"GermanSTSBenchmark":0.7305865,"SwissJudgementClassification":0.563392,"MLQARetrieval":0.7568997959183674,"SwednClusteringP2P":0.34909100000000004,"DBpediaClassification":0.889014,"HagridRetrieval":0.9862,"TswanaNewsClassification":0.374538,"WikipediaRetrievalMultilingual":0.897291875,"ArguAna":0.60956,"MIRACLRetrievalHardNegatives":0.5766877777777778,"IsiZuluNewsClassification":0.256915,"DiaBlaBitextMining":0.71898,"LegalBenchCorporateLobbying":0.94543,"EstonianValenceClassification":0.403667,"SinhalaNewsClassification":0.739844,"SprintDuplicateQuestions":0.901969,"CovidRetrieval":0.88471,"IndicCrosslingualSTS":0.41628858333333335,"Core17InstructionRetrieval":0.014483,"RTE3":0.8744675,"BibleNLPBitextMining":0.08564751086956522,"AfriSentiClassification":0.4268479166666666,"PAC":0.684738,"VoyageMMarcoReranking":0.603784,"KurdishSentimentClassification":0.710367,"Robust04InstructionRetrieval":-0.019968,"TERRa":0.520441,"indonli":0.512505,"SpartQA":0.10728,"SentimentAnalysisHindi":0.545921,"ItaCaseholdClassification":0.665158,"OdiaNewsClassification":0.812839,"MasakhaNEWSClassification":0.72383925,"FinancialPhrasebankClassification":0.81621,"ArXivHierarchicalClusteringP2P":0.55695,"CLSClusteringP2P.v2":0.347463,"CTKFactsNLI":0.7544105,"JSICK":0.717563,"STSB":0.66569,"FloresBitextMining":0.5192729447744615,"MacedonianTweetSentimentClassification":0.570149,"TweetTopicSingleClassification":0.687419,"SIB200ClusteringS2S":0.2925351878172589,"HALClusteringS2S.v2":0.28794,"BulgarianStoreReviewSentimentClassfication":0.60989,"CzechProductReviewSentimentClassification":0.486377,"PawsXPairClassification":0.5804987857142857,"FilipinoShopeeReviewsClassification":0.333911,"SemRel24STS":0.6466249166666667,"ArXivHierarchicalClusteringS2S":0.569548,"AILAStatutes":0.42489,"MultiHateClassification":0.6062545454545455,"MasakhaNEWSClusteringS2S":0.4007635,"DalajClassification":0.499662,"T2Reranking":0.65271,"WebLINXCandidatesReranking":0.09110466666666667,"KorSarcasmClassification":0.57251,"NusaX-senti":0.6599583333333333,"StackExchangeClustering.v2":0.527743,"Tatoeba":0.6223189553571429,"PolEmo2.0-OUT":0.426113,"RomaniBibleClustering":0.406908,"STS22.v2":0.7188099444444445,"PoemSentimentClassification":0.47224350000000004,"IndicGenBenchFloresBitextMining":0.8008771637931035},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":72,"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,"BitextMining":0.6940291687317485,"MultilabelClassification":0.19045086701473918},"scoresByTask":{"ScalaClassification":0.504077,"IndonesianIdClickbaitClassification":0.624888,"SICK-R":0.786312,"SCIDOCS":0.13896,"PunjabiNewsClassification":0.788535,"AlloProfClusteringS2S.v2":0.308775,"SlovakMovieReviewSentimentClassification":0.605127,"NTREXBitextMining":0.8358316179540709,"NusaParagraphEmotionClassification":0.3785441,"MassiveIntentClassification":0.5158192647058824,"STS13":0.774714,"CyrillicTurkicLangClassification":0.498535,"CSFDSKMovieReviewSentimentClassification":0.272754,"XNLI":0.7179370357142857,"CEDRClassification":0.4039319872476089,"WinoGrande":0.37464,"IN22GenBitextMining":0.7278608774703557,"NusaTranslationBitextMining":0.7720125454545456,"TwitterURLCorpus":0.858645,"PpcPC":0.877393,"TwitterHjerneRetrieval":0.58176,"MalteseNewsClassification":0.226687,"STS12":0.780543,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.97410275,"SwahiliNewsClassification":0.608984,"BiorxivClusteringP2P.v2":0.365442,"STS14":0.775423,"BornholmBitextMining":0.438852,"FaroeseSTS":0.681804,"WikiCitiesClustering":0.756975,"NusaXBitextMining":0.5982073636363636,"STSBenchmark":0.835893,"StackOverflowQA":0.81942,"MultiEURLEXMultilabelClassification":0.04352434782608696,"NorwegianCourtsBitextMining":0.932018,"PlscClusteringP2P.v2":0.686028,"ToxicConversationsClassification":0.635254,"BrazilianToxicTweetsClassification":0.189746,"IndicLangClassification":0.339648,"News21InstructionRetrieval":0.005421,"GujaratiNewsClassification":0.746662,"SiswatiNewsClassification":0.48375,"NollySentiBitextMining":0.5491325,"STS15":0.874871,"TempReasonL1":0.00795,"MedrxivClusteringP2P.v2":0.34349330178320625,"TRECCOVID":0.72287,"NepaliNewsClassification":0.921338,"ArmenianParaphrasePC":0.932118,"KorHateSpeechMLClassification":0.088365,"BelebeleRetrieval":0.662927579787234,"AlloprofReranking":0.6441,"NordicLangClassification":0.751533,"StatcanDialogueDatasetRetrieval":0.1032975,"RuBQReranking":0.7145735496700822,"STSES":0.796527,"WikiClusteringP2P.v2":0.2589842857142857,"FinParaSTS":0.201573,"OpusparcusPC":0.92537175,"CataloniaTweetClassification":0.4827035,"GermanSTSBenchmark":0.8088415,"SwissJudgementClassification":0.5387233333333333,"MLQARetrieval":0.6384725510204081,"SwednClusteringP2P":0.31482699999999997,"DBpediaClassification":0.871191,"HagridRetrieval":0.98545,"TswanaNewsClassification":0.392813,"ArguAna":0.39088,"MIRACLRetrievalHardNegatives":0.600925,"IsiZuluNewsClassification":0.290027,"DiaBlaBitextMining":0.819182,"LegalBenchCorporateLobbying":0.89474,"EstonianValenceClassification":0.396822,"SinhalaNewsClassification":0.675195,"SprintDuplicateQuestions":0.935791,"CovidRetrieval":0.72821,"IndicCrosslingualSTS":0.45931341666666664,"Core17InstructionRetrieval":-0.002604,"RTE3":0.86577475,"BibleNLPBitextMining":0.12314114251207729,"AfriSentiClassification":0.43187708333333336,"PAC":0.692731,"VoyageMMarcoReranking":0.63535,"GreekLegalCodeClassification":0.3264645,"KurdishSentimentClassification":0.783392,"Robust04InstructionRetrieval":-0.076222,"TERRa":0.5751046579848809,"indonli":0.518577,"SpartQA":0.05431,"SentimentAnalysisHindi":0.616999,"ItaCaseholdClassification":0.659276,"OdiaNewsClassification":0.78655,"MasakhaNEWSClassification":0.7343954375,"FinancialPhrasebankClassification":0.781935,"ArXivHierarchicalClusteringP2P":0.52699,"CLSClusteringP2P.v2":0.390219,"CTKFactsNLI":0.7704985,"JSICK":0.814204,"STSB":0.797172,"FloresBitextMining":0.6899834830000966,"MacedonianTweetSentimentClassification":0.562511,"TweetTopicSingleClassification":0.678854,"HALClusteringS2S.v2":0.181347,"BulgarianStoreReviewSentimentClassfication":0.576374,"CzechProductReviewSentimentClassification":0.507227,"FilipinoShopeeReviewsClassification":0.336792,"SemRel24STS":0.6151575833333333,"BigPatentClustering.v2":0.285455,"ArXivHierarchicalClusteringS2S":0.538085,"AILAStatutes":0.19011,"MultiHateClassification":0.5872636363636364,"MasakhaNEWSClusteringS2S":0.391866,"DalajClassification":0.501689,"T2Reranking":0.65718,"WebLINXCandidatesReranking":0.10267933333333333,"KorSarcasmClassification":0.550781,"NusaX-senti":0.6609375000000001,"StackExchangeClustering.v2":0.502063,"Tatoeba":0.6894057410714286,"PolEmo2.0-OUT":0.238057,"RomaniBibleClustering":0.403885,"STS22.v2":0.658568888888889,"PoemSentimentClassification":0.455481,"IndicGenBenchFloresBitextMining":0.8726491724137931},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":73,"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":0.5595681951181033,"meanTaskType":0.4934671290287297,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6904683724747476,"Classification":0.5334342949752311,"Clustering":0.4442453581937772,"PairClassification":0.761054971861472,"Reranking":0.6199201388888889,"Retrieval":0.6520793755846507,"InstructionReranking":-0.024157,"BitextMining":0.5791828318884954,"MultilabelClassification":0.18497581739130436},"scoresByTask":{"ScalaClassification":0.500354,"IndonesianIdClickbaitClassification":0.587688,"SICK-R":0.707836,"SCIDOCS":0.21859,"PunjabiNewsClassification":0.817834,"AlloProfClusteringS2S.v2":0.457359,"SlovakMovieReviewSentimentClassification":0.631592,"WikipediaRerankingMultilingual":0.8624025,"NTREXBitextMining":0.6825039316283925,"NusaParagraphEmotionClassification":0.360907,"MassiveIntentClassification":0.5037156176470589,"STS13":0.824474,"CyrillicTurkicLangClassification":0.435107,"CSFDSKMovieReviewSentimentClassification":0.272607,"XNLI":0.6262927142857143,"CEDRClassification":0.353348,"WinoGrande":0.66613,"IN22GenBitextMining":0.5557543181818182,"NusaTranslationBitextMining":0.5870662727272727,"TwitterURLCorpus":0.835373,"PpcPC":0.871406,"TwitterHjerneRetrieval":0.6827,"MalteseNewsClassification":0.248803,"STS12":0.730653,"LEMBPasskeyRetrieval":0.955,"BUCC.v2":0.9740555,"SwahiliNewsClassification":0.578223,"BiorxivClusteringP2P.v2":0.404965,"STS14":0.753747,"BornholmBitextMining":0.352726,"FaroeseSTS":0.64749,"WikiCitiesClustering":0.738975,"NusaXBitextMining":0.5234420000000001,"STSBenchmark":0.790764,"StackOverflowQA":0.86318,"MultiEURLEXMultilabelClassification":0.04092608695652174,"NorwegianCourtsBitextMining":0.926901,"PlscClusteringP2P.v2":0.712972,"ToxicConversationsClassification":0.620117,"BrazilianToxicTweetsClassification":0.19707,"IndicLangClassification":0.29067,"News21InstructionRetrieval":-0.001904,"GujaratiNewsClassification":0.824583,"SiswatiNewsClassification":0.4975,"STS17":0.7395561818181818,"NollySentiBitextMining":0.31714625,"STS15":0.860791,"TempReasonL1":0.1125,"MedrxivClusteringP2P.v2":0.369781,"TRECCOVID":0.68435,"NepaliNewsClassification":0.949707,"ArmenianParaphrasePC":0.937409,"AmazonCounterfactualClassification":0.636602625,"KorHateSpeechMLClassification":0.084732,"BelebeleRetrieval":0.6649527925531914,"AlloprofReranking":0.76233,"NordicLangClassification":0.433233,"StatcanDialogueDatasetRetrieval":0.588905,"RuBQReranking":0.7253,"STSES":0.781307,"WikiClusteringP2P.v2":0.2666932142857143,"FinParaSTS":0.16054049999999997,"OpusparcusPC":0.9175130833333333,"CataloniaTweetClassification":0.46783375,"GermanSTSBenchmark":0.78291,"SwissJudgementClassification":0.5523736666666667,"MLQARetrieval":0.6713002040816326,"SwednClusteringP2P":0.3112895,"DBpediaClassification":0.835498,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.285216,"WikipediaRetrievalMultilingual":0.867591875,"ArguAna":0.57113,"MIRACLRetrievalHardNegatives":0.5981088888888889,"IsiZuluNewsClassification":0.218085,"DiaBlaBitextMining":0.76741,"LegalBenchCorporateLobbying":0.92503,"EstonianValenceClassification":0.367726,"SinhalaNewsClassification":0.717676,"SprintDuplicateQuestions":0.956112,"CovidRetrieval":0.73547,"IndicCrosslingualSTS":0.3717410833333334,"Core17InstructionRetrieval":-0.020805,"RTE3":0.86911225,"BibleNLPBitextMining":0.08348457004830918,"AfriSentiClassification":0.4078138333333334,"PAC":0.65459,"VoyageMMarcoReranking":0.5884,"GreekLegalCodeClassification":0.271582,"KurdishSentimentClassification":0.653749,"Robust04InstructionRetrieval":-0.049762,"TERRa":0.540013,"indonli":0.490444,"SpartQA":0.6463,"SentimentAnalysisHindi":0.515424,"ItaCaseholdClassification":0.554299,"OdiaNewsClassification":0.554679,"MasakhaNEWSClassification":0.7293218124999999,"FinancialPhrasebankClassification":0.696776,"ArXivHierarchicalClusteringP2P":0.576638,"CLSClusteringP2P.v2":0.377912,"CTKFactsNLI":0.7368585000000001,"JSICK":0.801397,"STSB":0.7669645,"FloresBitextMining":0.43430194856563314,"MacedonianTweetSentimentClassification":0.483494,"TweetTopicSingleClassification":0.699291,"SIB200ClusteringS2S":0.2877349543147208,"HALClusteringS2S.v2":0.271412,"BulgarianStoreReviewSentimentClassfication":0.600549,"CzechProductReviewSentimentClassification":0.505371,"PawsXPairClassification":0.5910711428571428,"FilipinoShopeeReviewsClassification":0.2664305,"SemRel24STS":0.6266604166666666,"BigPatentClustering.v2":0.37172,"ArXivHierarchicalClusteringS2S":0.562656,"AILAStatutes":0.2985,"MultiHateClassification":0.5833545454545455,"MasakhaNEWSClusteringS2S":0.4265700625,"DalajClassification":0.496622,"T2Reranking":0.67312,"WebLINXCandidatesReranking":0.10796833333333333,"KorSarcasmClassification":0.548096,"NusaX-senti":0.6245833333333334,"StackExchangeClustering.v2":0.569098,"Tatoeba":0.5573074285714286,"PolEmo2.0-OUT":0.212551,"RomaniBibleClustering":0.40215,"STS22.v2":0.7006622777777778,"PoemSentimentClassification":0.49424900000000005,"IndicGenBenchFloresBitextMining":0.7672775948275862},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SpartQA","StatcanDialogueDatasetRetrieval","TempReasonL1","WinoGrande"],"experiments":null},{"rank":74,"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":0.4861714023761487,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6855148959911617,"Classification":0.5554283885975003,"Clustering":0.47658426411235494,"PairClassification":0.7497805616883116,"Reranking":0.5894965833333333,"Retrieval":0.5014005551819821,"InstructionReranking":-0.016239666666666666,"BitextMining":0.6186036391473604,"MultilabelClassification":0.2149734},"scoresByTask":{"ScalaClassification":0.5020020000000001,"IndonesianIdClickbaitClassification":0.537268,"SICK-R":0.730558,"SCIDOCS":0.17299,"PunjabiNewsClassification":0.570064,"AlloProfClusteringS2S.v2":0.344952,"SlovakMovieReviewSentimentClassification":0.650635,"WikipediaRerankingMultilingual":0.83444,"NTREXBitextMining":0.6984096127348643,"NusaParagraphEmotionClassification":0.3518312,"MassiveIntentClassification":0.6613249509803921,"STS13":0.801997,"CyrillicTurkicLangClassification":0.745557,"CSFDSKMovieReviewSentimentClassification":0.260693,"XNLI":0.6807105,"CEDRClassification":0.485122,"WinoGrande":0.33664,"IN22GenBitextMining":0.5647413043478261,"NusaTranslationBitextMining":0.7477340909090909,"TwitterURLCorpus":0.84609,"PpcPC":0.809404,"TwitterHjerneRetrieval":0.46683,"MalteseNewsClassification":0.291511,"STS12":0.786856,"LEMBPasskeyRetrieval":0.5325,"BUCC.v2":0.98036725,"SwahiliNewsClassification":0.556006,"BiorxivClusteringP2P.v2":0.49063,"STS14":0.784945,"BornholmBitextMining":0.413876,"FaroeseSTS":0.67995,"WikiCitiesClustering":0.741257,"NusaXBitextMining":0.6099678181818182,"STSBenchmark":0.83632,"StackOverflowQA":0.84226,"MultiEURLEXMultilabelClassification":0.0309,"NorwegianCourtsBitextMining":0.924708,"PlscClusteringP2P.v2":0.686494,"ToxicConversationsClassification":0.880566,"BrazilianToxicTweetsClassification":0.19458,"IndicLangClassification":0.803623,"News21InstructionRetrieval":-0.005485,"GujaratiNewsClassification":0.657967,"SiswatiNewsClassification":0.5775,"STS17":0.7299973636363636,"NollySentiBitextMining":0.43874375,"STS15":0.860763,"TempReasonL1":0.01312,"MedrxivClusteringP2P.v2":0.434252,"TRECCOVID":0.54995,"NepaliNewsClassification":0.911719,"ArmenianParaphrasePC":0.906774,"AmazonCounterfactualClassification":0.842938,"KorHateSpeechMLClassification":0.072754,"BelebeleRetrieval":0.5766729255319148,"AlloprofReranking":0.67038,"NordicLangClassification":0.527133,"StatcanDialogueDatasetRetrieval":0.16191250000000001,"RuBQReranking":0.64571,"STSES":0.766936,"WikiClusteringP2P.v2":0.25322335714285715,"FinParaSTS":0.1724835,"OpusparcusPC":0.9136175,"CataloniaTweetClassification":0.4532035,"GermanSTSBenchmark":0.775089,"SwissJudgementClassification":0.528684,"MLQARetrieval":0.6116840816326531,"SwednClusteringP2P":0.42917950000000005,"DBpediaClassification":0.785303,"HagridRetrieval":0.98471,"TswanaNewsClassification":0.267556,"WikipediaRetrievalMultilingual":0.806944375,"ArguAna":0.51437,"MIRACLRetrievalHardNegatives":0.4903911111111111,"IsiZuluNewsClassification":0.246809,"DiaBlaBitextMining":0.780587,"LegalBenchCorporateLobbying":0.92227,"EstonianValenceClassification":0.332274,"SinhalaNewsClassification":0.591846,"SprintDuplicateQuestions":0.951046,"CovidRetrieval":0.70206,"IndicCrosslingualSTS":0.1997243333333333,"Core17InstructionRetrieval":0.006715,"RTE3":0.85655025,"BibleNLPBitextMining":0.11363663043478262,"AfriSentiClassification":0.3815955,"PAC":0.624471,"VoyageMMarcoReranking":0.60241,"GreekLegalCodeClassification":0.0801025,"KurdishSentimentClassification":0.613337,"Robust04InstructionRetrieval":-0.049949,"TERRa":0.527493,"indonli":0.495665,"SpartQA":0.14999,"SentimentAnalysisHindi":0.593121,"ItaCaseholdClassification":0.58009,"OdiaNewsClassification":0.613172,"MasakhaNEWSClassification":0.6785964375,"FinancialPhrasebankClassification":0.705345,"ArXivHierarchicalClusteringP2P":0.634236,"CLSClusteringP2P.v2":0.626289,"CTKFactsNLI":0.720003,"JSICK":0.796968,"STSB":0.80194,"FloresBitextMining":0.5055548495363663,"MacedonianTweetSentimentClassification":0.435909,"TweetTopicSingleClassification":0.69368,"SIB200ClusteringS2S":0.5367892436548223,"HALClusteringS2S.v2":0.195246,"BulgarianStoreReviewSentimentClassfication":0.648352,"CzechProductReviewSentimentClassification":0.49873,"PawsXPairClassification":0.5402329285714286,"FilipinoShopeeReviewsClassification":0.338086,"SemRel24STS":0.5931774166666667,"BigPatentClustering.v2":0.246846,"ArXivHierarchicalClusteringS2S":0.583881,"AILAStatutes":0.189915,"MultiHateClassification":0.5553454545454546,"MasakhaNEWSClusteringS2S":0.397356125,"DalajClassification":0.50045,"T2Reranking":0.66602,"WebLINXCandidatesReranking":0.1180195,"KorSarcasmClassification":0.532666,"NusaX-senti":0.6031041666666667,"StackExchangeClustering.v2":0.618853,"Tatoeba":0.45919183035714284,"PolEmo2.0-OUT":0.393927,"RomaniBibleClustering":0.405864,"STS22.v2":0.6505337222222223,"PoemSentimentClassification":0.570838,"IndicGenBenchFloresBitextMining":0.8043291724137931},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","StackOverflowQA","ToxicConversationsClassification","XNLI"],"experiments":null},{"rank":75,"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":{"STS":0.5953106706123736,"Classification":0.5318957946075841,"Reranking":0.5153077656830568,"InstructionReranking":-0.026510333333333334,"MultilabelClassification":0.18599462063484729},"scoresByTask":{"ScalaClassification":0.50351575,"IndonesianIdClickbaitClassification":0.584136,"SICK-R":0.810025,"SCIDOCS":0.16154,"PunjabiNewsClassification":0.64586,"AlloProfClusteringS2S.v2":0.383264,"SlovakMovieReviewSentimentClassification":0.808887,"WikipediaRerankingMultilingual":0.7788333125,"NusaParagraphEmotionClassification":0.39996109999999996,"MassiveIntentClassification":0.3368569705882353,"STS13":0.838523,"CyrillicTurkicLangClassification":0.43251953125,"CSFDSKMovieReviewSentimentClassification":0.364795,"CEDRClassification":0.45478214665249733,"WinoGrande":0.32792,"IN22GenBitextMining":0.13144811067193676,"NusaTranslationBitextMining":0.7262184545454545,"TwitterURLCorpus":0.857092,"PpcPC":0.902572,"TwitterHjerneRetrieval":0.21387,"MalteseNewsClassification":0.216717,"STS12":0.810964,"LEMBPasskeyRetrieval":0.6075,"SwahiliNewsClassification":0.601709,"BiorxivClusteringP2P.v2":0.350746,"STS14":0.821097,"BornholmBitextMining":0.424397,"FaroeseSTS":0.712514,"WikiCitiesClustering":0.748871,"NusaXBitextMining":0.5648396363636364,"STSBenchmark":0.868518,"StackOverflowQA":0.79292,"MultiEURLEXMultilabelClassification":0.033686956521739135,"NorwegianCourtsBitextMining":0.930556,"PlscClusteringP2P.v2":0.696989,"ToxicConversationsClassification":0.691943,"BrazilianToxicTweetsClassification":0.182666,"IndicLangClassification":0.131146,"News21InstructionRetrieval":-0.009275,"GujaratiNewsClassification":0.460546,"SiswatiNewsClassification":0.60625,"STS17":0.5845140909090909,"NollySentiBitextMining":0.40428975,"STS15":0.889983,"TempReasonL1":0.00901,"MedrxivClusteringP2P.v2":0.345243,"TRECCOVID":0.51016,"NepaliNewsClassification":0.52168,"ArmenianParaphrasePC":0.831121,"AmazonCounterfactualClassification":0.67443825,"KorHateSpeechMLClassification":0.042121,"AlloprofReranking":0.732505,"NordicLangClassification":0.405333,"StatcanDialogueDatasetRetrieval":0.2033625,"RuBQReranking":0.7307652815983409,"STSES":0.769232,"WikiClusteringP2P.v2":0.2656880714285714,"FinParaSTS":0.20504499999999998,"OpusparcusPC":0.9307617499999999,"CataloniaTweetClassification":0.47943925,"GermanSTSBenchmark":0.8195095,"SwissJudgementClassification":0.539189,"MLQARetrieval":0.2844184693877551,"SwednClusteringP2P":0.309212,"DBpediaClassification":0.891455,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.383984,"WikipediaRetrievalMultilingual":0.725034375,"ArguAna":0.49951,"MIRACLRetrievalHardNegatives":0.30494944444444444,"IsiZuluNewsClassification":0.296676,"DiaBlaBitextMining":0.805772,"LegalBenchCorporateLobbying":0.90594,"EstonianValenceClassification":0.421394,"SinhalaNewsClassification":0.376221,"SprintDuplicateQuestions":0.97241,"CovidRetrieval":0.00121,"IndicCrosslingualSTS":0.08529333333333333,"Core17InstructionRetrieval":0.0004,"RTE3":0.8926784999999999,"AfriSentiClassification":0.41732316666666663,"PAC":0.675789,"VoyageMMarcoReranking":0.181332,"GreekLegalCodeClassification":0.045337,"KurdishSentimentClassification":0.594363,"Robust04InstructionRetrieval":-0.070656,"TERRa":0.6506800747742694,"indonli":0.581323,"SpartQA":0.07582,"SentimentAnalysisHindi":0.366871,"ItaCaseholdClassification":0.649321,"OdiaNewsClassification":0.601912,"MasakhaNEWSClassification":0.7006429375,"FinancialPhrasebankClassification":0.834806,"ArXivHierarchicalClusteringP2P":0.541321,"CLSClusteringP2P.v2":0.109629,"CTKFactsNLI":0.8167125,"JSICK":0.264296,"STSB":0.090928,"MacedonianTweetSentimentClassification":0.642318,"TweetTopicSingleClassification":0.691376,"HALClusteringS2S.v2":0.248165,"BulgarianStoreReviewSentimentClassfication":0.731319,"CzechProductReviewSentimentClassification":0.599072,"PawsXPairClassification":0.5471025,"FilipinoShopeeReviewsClassification":0.3470215,"SemRel24STS":0.3143755833333333,"BigPatentClustering.v2":0.288615,"ArXivHierarchicalClusteringS2S":0.506237,"AILAStatutes":0.2669,"MultiHateClassification":0.6027545454545454,"MasakhaNEWSClusteringS2S":0.3871046875,"DalajClassification":0.497523,"T2Reranking":0.569737,"WebLINXCandidatesReranking":0.098674,"KorSarcasmClassification":0.52168,"NusaX-senti":0.6949791666666667,"StackExchangeClustering.v2":0.5192,"PolEmo2.0-OUT":0.5,"RomaniBibleClustering":0.409126,"STS22.v2":0.6401532222222222,"PoemSentimentClassification":0.5991759999999999,"IndicGenBenchFloresBitextMining":0.10380987068965518},"scoresByCustomGroup":{},"trainedOnTasks":["BibleNLPBitextMining","MIRACLRetrievalHardNegatives","T2Reranking"],"experiments":null},{"rank":76,"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":{"Classification":0.5438374695213075,"Clustering":0.4224423457017087,"PairClassification":0.7486020465367964,"Reranking":0.6167293784722222,"Retrieval":0.5483483771218298,"InstructionReranking":-0.033352,"BitextMining":0.5372911649469749,"MultilabelClassification":0.17044351304347827},"scoresByTask":{"ScalaClassification":0.5016115,"IndonesianIdClickbaitClassification":0.601535,"SICK-R":0.712985,"SCIDOCS":0.20321,"PunjabiNewsClassification":0.816561,"AlloProfClusteringS2S.v2":0.438749,"SlovakMovieReviewSentimentClassification":0.61416,"WikipediaRerankingMultilingual":0.8742659375,"NTREXBitextMining":0.5644909624217118,"NusaParagraphEmotionClassification":0.3468002,"MassiveIntentClassification":0.5330137450980392,"STS13":0.773886,"CyrillicTurkicLangClassification":0.607227,"CSFDSKMovieReviewSentimentClassification":0.250928,"XNLI":0.6296866071428572,"CEDRClassification":0.343411,"WinoGrande":0.66334,"IN22GenBitextMining":0.4963843893280632,"NusaTranslationBitextMining":0.6878937272727272,"TwitterURLCorpus":0.859584,"PpcPC":0.841334,"TwitterHjerneRetrieval":0.23334,"MalteseNewsClassification":0.191685,"STS12":0.706481,"LEMBPasskeyRetrieval":0.58,"BUCC.v2":0.96191125,"SwahiliNewsClassification":0.57583,"BiorxivClusteringP2P.v2":0.381119,"STS14":0.729113,"BornholmBitextMining":0.435714,"FaroeseSTS":0.632482,"WikiCitiesClustering":0.810007,"NusaXBitextMining":0.387584,"STSBenchmark":0.759802,"StackOverflowQA":0.90679,"MultiEURLEXMultilabelClassification":0.04128956521739131,"NorwegianCourtsBitextMining":0.914474,"PlscClusteringP2P.v2":0.707064,"ToxicConversationsClassification":0.648389,"BrazilianToxicTweetsClassification":0.220898,"IndicLangClassification":0.543672,"News21InstructionRetrieval":-0.004708,"GujaratiNewsClassification":0.787405,"SiswatiNewsClassification":0.5575,"NollySentiBitextMining":0.28226249999999997,"STS15":0.818161,"TempReasonL1":0.00985,"MedrxivClusteringP2P.v2":0.353642,"TRECCOVID":0.80342,"NepaliNewsClassification":0.916943,"ArmenianParaphrasePC":0.935735,"AmazonCounterfactualClassification":0.63979225,"KorHateSpeechMLClassification":0.054934,"BelebeleRetrieval":0.6130694148936171,"AlloprofReranking":0.761181,"NordicLangClassification":0.540467,"StatcanDialogueDatasetRetrieval":0.21588999999999997,"RuBQReranking":0.699125,"STSES":0.802475,"WikiClusteringP2P.v2":0.2594882142857143,"FinParaSTS":0.22919099999999998,"OpusparcusPC":0.8851690833333333,"CataloniaTweetClassification":0.482009,"GermanSTSBenchmark":0.738767,"SwissJudgementClassification":0.5618299999999999,"MLQARetrieval":0.623029081632653,"SwednClusteringP2P":0.271818,"DBpediaClassification":0.89292,"HagridRetrieval":0.98847,"TswanaNewsClassification":0.280698,"WikipediaRetrievalMultilingual":0.878250625,"ArguAna":0.57877,"MIRACLRetrievalHardNegatives":0.6147616666666667,"IsiZuluNewsClassification":0.255319,"DiaBlaBitextMining":0.775022,"LegalBenchCorporateLobbying":0.93523,"EstonianValenceClassification":0.340587,"SinhalaNewsClassification":0.706787,"SprintDuplicateQuestions":0.960056,"CovidRetrieval":0.70425,"IndicCrosslingualSTS":0.30798949999999997,"Core17InstructionRetrieval":-0.019607,"RTE3":0.86173875,"BibleNLPBitextMining":0.06065508031400966,"AfriSentiClassification":0.3977779166666667,"PAC":0.659542,"VoyageMMarcoReranking":0.595377,"GreekLegalCodeClassification":0.224976,"KurdishSentimentClassification":0.616004,"Robust04InstructionRetrieval":-0.075741,"TERRa":0.518731,"indonli":0.484427,"SpartQA":0.03746,"SentimentAnalysisHindi":0.514592,"ItaCaseholdClassification":0.713575,"OdiaNewsClassification":0.476137,"MasakhaNEWSClassification":0.6399915625,"FinancialPhrasebankClassification":0.730124,"ArXivHierarchicalClusteringP2P":0.575366,"CLSClusteringP2P.v2":0.363589,"CTKFactsNLI":0.7149559999999999,"JSICK":0.806935,"STSB":0.6898015,"FloresBitextMining":0.3402943430406646,"MacedonianTweetSentimentClassification":0.541879,"TweetTopicSingleClassification":0.638512,"SIB200ClusteringS2S":0.18656862944162436,"HALClusteringS2S.v2":0.254848,"BulgarianStoreReviewSentimentClassfication":0.429121,"CzechProductReviewSentimentClassification":0.468164,"PawsXPairClassification":0.5432050714285714,"FilipinoShopeeReviewsClassification":0.28959999999999997,"SemRel24STS":0.5891024166666666,"BigPatentClustering.v2":0.310903,"ArXivHierarchicalClusteringS2S":0.518794,"AILAStatutes":0.28114,"MultiHateClassification":0.5779181818181818,"MasakhaNEWSClusteringS2S":0.3908906875,"DalajClassification":0.499887,"T2Reranking":0.677812,"WebLINXCandidatesReranking":0.09261533333333333,"KorSarcasmClassification":0.550049,"NusaX-senti":0.6168333333333333,"StackExchangeClustering.v2":0.53989,"Tatoeba":0.4081623660714286,"PolEmo2.0-OUT":0.290688,"RomaniBibleClustering":0.396341,"STS22.v2":0.6904341666666667,"PoemSentimentClassification":0.5076555,"IndicGenBenchFloresBitextMining":0.669936525862069},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":77,"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":{"STS":0.7208889605467628,"Classification":0.5507958549071426,"Clustering":0.3959204601613488,"PairClassification":0.8080385541125541,"Reranking":0.5159039895833334,"Retrieval":0.36977813367259826,"InstructionReranking":-0.01772466666666667,"BitextMining":0.7032939564030916,"MultilabelClassification":0.19947434782608697},"scoresByTask":{"ScalaClassification":0.501123,"IndonesianIdClickbaitClassification":0.574108,"SICK-R":0.7703286420274621,"SCIDOCS":0.09626,"PunjabiNewsClassification":0.761146,"AlloProfClusteringS2S.v2":0.353017,"SlovakMovieReviewSentimentClassification":0.648877,"WikipediaRerankingMultilingual":0.8324249375,"NTREXBitextMining":0.8560843183716075,"NusaParagraphEmotionClassification":0.38385379999999997,"MassiveIntentClassification":0.5866345784313726,"STS13":0.7954963868861197,"CyrillicTurkicLangClassification":0.341846,"CSFDSKMovieReviewSentimentClassification":0.299658,"XNLI":0.8264358214285714,"CEDRClassification":0.400053,"WinoGrande":0.37632,"IN22GenBitextMining":0.6804445079051383,"NusaTranslationBitextMining":0.7032729090909091,"TwitterURLCorpus":0.851038,"PpcPC":0.924076,"TwitterHjerneRetrieval":0.27903,"MalteseNewsClassification":0.292643,"STS12":0.7921432176112556,"LEMBPasskeyRetrieval":0.255,"BUCC.v2":0.9847785,"SwahiliNewsClassification":0.570947,"BiorxivClusteringP2P.v2":0.318139,"STS14":0.7884601702652395,"BornholmBitextMining":0.38591,"FaroeseSTS":0.729274,"WikiCitiesClustering":0.541304,"NusaXBitextMining":0.6832186363636363,"STSBenchmark":0.8204996129795596,"StackOverflowQA":0.33733,"MultiEURLEXMultilabelClassification":0.03936173913043478,"NorwegianCourtsBitextMining":0.91886,"PlscClusteringP2P.v2":0.711069,"ToxicConversationsClassification":0.665918,"BrazilianToxicTweetsClassification":0.186914,"IndicLangClassification":0.165507,"News21InstructionRetrieval":-0.000158,"GujaratiNewsClassification":0.75569,"SiswatiNewsClassification":0.555,"STS17":0.7983951818181818,"NollySentiBitextMining":0.68000875,"STS15":0.8560821849381648,"TempReasonL1":0.01443,"MedrxivClusteringP2P.v2":0.331463,"TRECCOVID":0.27311,"NepaliNewsClassification":0.914111,"ArmenianParaphrasePC":0.960324,"AmazonCounterfactualClassification":0.7244965,"KorHateSpeechMLClassification":0.0784,"BelebeleRetrieval":0.6248619148936171,"AlloprofReranking":0.560109,"NordicLangClassification":0.335867,"StatcanDialogueDatasetRetrieval":0.06857,"RuBQReranking":0.587018,"STSES":0.73136,"WikiClusteringP2P.v2":0.2685464285714286,"FinParaSTS":0.2835655,"OpusparcusPC":0.9464151666666667,"CataloniaTweetClassification":0.4436715,"GermanSTSBenchmark":0.801569,"SwissJudgementClassification":0.5332796666666667,"MLQARetrieval":0.5808177551020408,"SwednClusteringP2P":0.294678,"DBpediaClassification":0.844922,"HagridRetrieval":0.96551,"TswanaNewsClassification":0.405133,"WikipediaRetrievalMultilingual":0.744050625,"ArguAna":0.41699,"MIRACLRetrievalHardNegatives":0.2352761111111111,"IsiZuluNewsClassification":0.297739,"DiaBlaBitextMining":0.858767,"LegalBenchCorporateLobbying":0.81143,"EstonianValenceClassification":0.42824,"SinhalaNewsClassification":0.683691,"SprintDuplicateQuestions":0.901768,"CovidRetrieval":0.34224,"IndicCrosslingualSTS":0.55515475,"Core17InstructionRetrieval":0.018312,"RTE3":0.88406275,"BibleNLPBitextMining":0.12456687137681159,"AfriSentiClassification":0.46752658333333336,"PAC":0.658297,"VoyageMMarcoReranking":0.379366,"GreekLegalCodeClassification":0.1896485,"KurdishSentimentClassification":0.578561,"Robust04InstructionRetrieval":-0.071328,"TERRa":0.618473,"indonli":0.591864,"SpartQA":0.03231,"SentimentAnalysisHindi":0.614641,"ItaCaseholdClassification":0.564253,"OdiaNewsClassification":0.721566,"MasakhaNEWSClassification":0.730973375,"FinancialPhrasebankClassification":0.798366,"ArXivHierarchicalClusteringP2P":0.52145,"CLSClusteringP2P.v2":0.378234,"CTKFactsNLI":0.841646,"JSICK":0.732819,"STSB":0.785123,"FloresBitextMining":0.6132878511542549,"MacedonianTweetSentimentClassification":0.590869,"TweetTopicSingleClassification":0.609628,"SIB200ClusteringS2S":0.25920493401015227,"HALClusteringS2S.v2":0.216944,"BulgarianStoreReviewSentimentClassfication":0.624176,"CzechProductReviewSentimentClassification":0.557715,"PawsXPairClassification":0.5423213571428571,"FilipinoShopeeReviewsClassification":0.3313475,"SemRel24STS":0.64906,"BigPatentClustering.v2":0.357232,"ArXivHierarchicalClusteringS2S":0.495583,"AILAStatutes":0.20247,"MultiHateClassification":0.5930090909090908,"MasakhaNEWSClusteringS2S":0.416503,"DalajClassification":0.49786,"T2Reranking":0.65403,"WebLINXCandidatesReranking":0.08247600000000001,"KorSarcasmClassification":0.568604,"NusaX-senti":0.6548541666666666,"StackExchangeClustering.v2":0.473132,"Tatoeba":0.7628335803571428,"PolEmo2.0-OUT":0.377328,"RomaniBibleClustering":0.398228,"STS22.v2":0.6448927222222223,"PoemSentimentClassification":0.5335395,"IndicGenBenchFloresBitextMining":0.8907885086206897},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":78,"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":{"Classification":0.5031046324819675,"Clustering":0.42320349017063996,"PairClassification":0.7406540207402554,"Reranking":0.5067984270833333,"Retrieval":0.45407982020231263,"InstructionReranking":-0.001697333333333332,"BitextMining":0.3138580426583025,"MultilabelClassification":0.17192961739130436},"scoresByTask":{"ScalaClassification":0.50008525,"IndonesianIdClickbaitClassification":0.565189,"SICK-R":0.8127177640994141,"SCIDOCS":0.20314,"PunjabiNewsClassification":0.626115,"AlloProfClusteringS2S.v2":0.359737,"SlovakMovieReviewSentimentClassification":0.588232,"WikipediaRerankingMultilingual":0.7692875625,"NTREXBitextMining":0.2656955991649269,"NusaParagraphEmotionClassification":0.2987478,"MassiveIntentClassification":0.32501297058823525,"STS13":0.8520181466598035,"CyrillicTurkicLangClassification":0.62417,"CSFDSKMovieReviewSentimentClassification":0.23999,"XNLI":0.6239946071428571,"CEDRClassification":0.355632,"WinoGrande":0.57935,"IN22GenBitextMining":0.08182389328063241,"NusaTranslationBitextMining":0.6945585454545454,"TwitterURLCorpus":0.8646378511891255,"PpcPC":0.847398,"TwitterHjerneRetrieval":0.41637,"MalteseNewsClassification":0.248542,"STS12":0.7437099514810371,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.34564625000000004,"SwahiliNewsClassification":0.535547,"BiorxivClusteringP2P.v2":0.437402,"STS14":0.8097859876561874,"BornholmBitextMining":0.408492,"FaroeseSTS":0.68031,"WikiCitiesClustering":0.81597,"NusaXBitextMining":0.3196202727272727,"STSBenchmark":0.8854881886307971,"StackOverflowQA":0.89352,"MultiEURLEXMultilabelClassification":0.02892608695652174,"NorwegianCourtsBitextMining":0.895468,"PlscClusteringP2P.v2":0.683727,"ToxicConversationsClassification":0.7261299999999999,"BrazilianToxicTweetsClassification":0.192969,"IndicLangClassification":0.495894,"News21InstructionRetrieval":0.002986,"GujaratiNewsClassification":0.41563,"SiswatiNewsClassification":0.5775,"NollySentiBitextMining":0.29873075,"STS15":0.8922666720704161,"TempReasonL1":0.01507,"MedrxivClusteringP2P.v2":0.399723,"TRECCOVID":0.81919,"NepaliNewsClassification":0.580176,"ArmenianParaphrasePC":0.8785,"AmazonCounterfactualClassification":0.673393875,"KorHateSpeechMLClassification":0.033579,"BelebeleRetrieval":0.3539927925531915,"AlloprofReranking":0.682614,"NordicLangClassification":0.582033,"StatcanDialogueDatasetRetrieval":0.23500000000000001,"RuBQReranking":0.513066,"STSES":0.755994,"WikiClusteringP2P.v2":0.2580361428571428,"FinParaSTS":0.1615395,"OpusparcusPC":0.8860049999999999,"CataloniaTweetClassification":0.4866325,"GermanSTSBenchmark":0.7095745,"SwissJudgementClassification":0.543154,"MLQARetrieval":0.27407938775510204,"SwednClusteringP2P":0.3029035,"DBpediaClassification":0.92168,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.268789,"WikipediaRetrievalMultilingual":0.64916125,"ArguAna":0.61521,"MIRACLRetrievalHardNegatives":0.23155333333333333,"IsiZuluNewsClassification":0.256516,"DiaBlaBitextMining":0.378141,"LegalBenchCorporateLobbying":0.93642,"EstonianValenceClassification":0.312592,"SinhalaNewsClassification":0.348975,"SprintDuplicateQuestions":0.9624594126679709,"CovidRetrieval":0.2782,"IndicCrosslingualSTS":0.02799533333333333,"Core17InstructionRetrieval":0.026835,"RTE3":0.8627575,"BibleNLPBitextMining":0.02710338768115942,"AfriSentiClassification":0.40656391666666664,"PAC":0.691167,"VoyageMMarcoReranking":0.362989,"GreekLegalCodeClassification":0.0753175,"KurdishSentimentClassification":0.579316,"Robust04InstructionRetrieval":-0.034913,"TERRa":0.476833,"indonli":0.480409,"SpartQA":0.03743,"SentimentAnalysisHindi":0.399234,"ItaCaseholdClassification":0.669683,"OdiaNewsClassification":0.544586,"MasakhaNEWSClassification":0.6558406875,"FinancialPhrasebankClassification":0.816784,"ArXivHierarchicalClusteringP2P":0.624076,"CLSClusteringP2P.v2":0.185814,"CTKFactsNLI":0.7292795000000001,"JSICK":0.684049,"STSB":0.4342435,"FloresBitextMining":0.18531125156959335,"MacedonianTweetSentimentClassification":0.406146,"TweetTopicSingleClassification":0.686119,"SIB200ClusteringS2S":0.12030532487309645,"HALClusteringS2S.v2":0.249005,"BulgarianStoreReviewSentimentClassfication":0.426374,"CzechProductReviewSentimentClassification":0.453516,"PawsXPairClassification":0.5349203571428571,"FilipinoShopeeReviewsClassification":0.331128,"SemRel24STS":0.39991249999999995,"BigPatentClustering.v2":0.369059,"ArXivHierarchicalClusteringS2S":0.579659,"AILAStatutes":0.26381,"MultiHateClassification":0.5564363636363636,"MasakhaNEWSClusteringS2S":0.400968875,"DalajClassification":0.500788,"T2Reranking":0.628422,"WebLINXCandidatesReranking":0.084412,"KorSarcasmClassification":0.527588,"NusaX-senti":0.6005833333333334,"StackExchangeClustering.v2":0.605585,"Tatoeba":0.11297703571428572,"PolEmo2.0-OUT":0.268219,"RomaniBibleClustering":0.379285,"STS22.v2":0.6017488888888889,"PoemSentimentClassification":0.545925,"IndicGenBenchFloresBitextMining":0.06658656896551723},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":79,"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":{"Classification":0.566709409181072,"Clustering":0.40222411993518853,"PairClassification":0.8335210108225108,"Reranking":0.48313436111111113,"Retrieval":0.31724809972767676,"InstructionReranking":0.013800333333333336,"BitextMining":0.6088618266137285,"MultilabelClassification":0.19318403478260868},"scoresByTask":{"ScalaClassification":0.5049805,"IndonesianIdClickbaitClassification":0.551287,"SICK-R":0.779915,"SCIDOCS":0.06284,"PunjabiNewsClassification":0.753503,"AlloProfClusteringS2S.v2":0.395046,"SlovakMovieReviewSentimentClassification":0.779932,"WikipediaRerankingMultilingual":0.7959485,"NTREXBitextMining":0.7280772447807933,"NusaParagraphEmotionClassification":0.4294448,"MassiveIntentClassification":0.5910321470588236,"STS13":0.820074,"CyrillicTurkicLangClassification":0.392529,"CSFDSKMovieReviewSentimentClassification":0.358252,"XNLI":0.8906898214285714,"CEDRClassification":0.42423,"WinoGrande":0.28725,"IN22GenBitextMining":0.6444901956521739,"NusaTranslationBitextMining":0.5934344545454545,"TwitterURLCorpus":0.829793,"PpcPC":0.949791,"TwitterHjerneRetrieval":0.17373,"MalteseNewsClassification":0.24471,"STS12":0.788377,"LEMBPasskeyRetrieval":0.31,"BUCC.v2":0.9725655,"SwahiliNewsClassification":0.588818,"BiorxivClusteringP2P.v2":0.320096,"STS14":0.793489,"BornholmBitextMining":0.312838,"FaroeseSTS":0.705322,"WikiCitiesClustering":0.582691,"NusaXBitextMining":0.6004501818181818,"STSBenchmark":0.840891,"StackOverflowQA":0.25085,"MultiEURLEXMultilabelClassification":0.043892173913043474,"NorwegianCourtsBitextMining":0.915205,"PlscClusteringP2P.v2":0.741802,"ToxicConversationsClassification":0.674707,"BrazilianToxicTweetsClassification":0.178223,"IndicLangClassification":0.168433,"News21InstructionRetrieval":-0.008835,"GujaratiNewsClassification":0.777011,"SiswatiNewsClassification":0.73625,"NollySentiBitextMining":0.31283325,"STS15":0.855924,"TempReasonL1":0.00382,"MedrxivClusteringP2P.v2":0.320355,"TRECCOVID":0.22262,"NepaliNewsClassification":0.925684,"ArmenianParaphrasePC":0.96866,"AmazonCounterfactualClassification":0.693604,"KorHateSpeechMLClassification":0.074865,"BelebeleRetrieval":0.5327529521276596,"AlloprofReranking":0.509931,"NordicLangClassification":0.375067,"StatcanDialogueDatasetRetrieval":0.09523,"RuBQReranking":0.542633,"STSES":0.677446,"WikiClusteringP2P.v2":0.25859478571428574,"FinParaSTS":0.2512725,"OpusparcusPC":0.9472080833333334,"CataloniaTweetClassification":0.43942424999999996,"GermanSTSBenchmark":0.8252345,"SwissJudgementClassification":0.539439,"MLQARetrieval":0.5263552040816327,"SwednClusteringP2P":0.3011735,"DBpediaClassification":0.877588,"HagridRetrieval":0.87919,"TswanaNewsClassification":0.225051,"WikipediaRetrievalMultilingual":0.62436375,"ArguAna":0.2325,"MIRACLRetrievalHardNegatives":0.1228238888888889,"IsiZuluNewsClassification":0.235638,"DiaBlaBitextMining":0.810914,"LegalBenchCorporateLobbying":0.79603,"EstonianValenceClassification":0.449511,"SinhalaNewsClassification":0.700244,"SprintDuplicateQuestions":0.819392,"CovidRetrieval":0.36527,"IndicCrosslingualSTS":0.5040478333333334,"Core17InstructionRetrieval":0.065988,"RTE3":0.90055,"BibleNLPBitextMining":0.0856663466183575,"AfriSentiClassification":0.45359025,"PAC":0.63093,"VoyageMMarcoReranking":0.321726,"GreekLegalCodeClassification":0.331787,"KurdishSentimentClassification":0.603724,"Robust04InstructionRetrieval":-0.015752,"TERRa":0.6834,"indonli":0.664644,"SpartQA":0.00745,"SentimentAnalysisHindi":0.615159,"ItaCaseholdClassification":0.531674,"OdiaNewsClassification":0.776499,"MasakhaNEWSClassification":0.691875375,"FinancialPhrasebankClassification":0.794214,"ArXivHierarchicalClusteringP2P":0.525282,"CLSClusteringP2P.v2":0.383742,"CTKFactsNLI":0.899346,"JSICK":0.673614,"STSB":0.8159925,"FloresBitextMining":0.47175304054380374,"MacedonianTweetSentimentClassification":0.602634,"TweetTopicSingleClassification":0.648848,"SIB200ClusteringS2S":0.27789588324873093,"HALClusteringS2S.v2":0.239225,"BulgarianStoreReviewSentimentClassfication":0.634066,"CzechProductReviewSentimentClassification":0.564258,"PawsXPairClassification":0.6152572142857142,"FilipinoShopeeReviewsClassification":0.3468995,"SemRel24STS":0.5885230833333334,"BigPatentClustering.v2":0.334025,"ArXivHierarchicalClusteringS2S":0.50487,"AILAStatutes":0.21739,"MultiHateClassification":0.6214272727272727,"MasakhaNEWSClusteringS2S":0.37795475,"DalajClassification":0.503041,"T2Reranking":0.647111,"WebLINXCandidatesReranking":0.08145666666666666,"KorSarcasmClassification":0.569531,"NusaX-senti":0.6664375,"StackExchangeClustering.v2":0.480493,"Tatoeba":0.6426246785714286,"PolEmo2.0-OUT":0.524494,"RomaniBibleClustering":0.39234,"STS22.v2":0.6705620555555556,"PoemSentimentClassification":0.489986,"IndicGenBenchFloresBitextMining":0.8243518534482759},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":80,"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":0.48323132996129187,"meanTaskType":0.42106449226583514,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6322958410163001,"Classification":0.49197965495078083,"Clustering":0.46195540507304167,"PairClassification":0.7450503637986358,"Reranking":0.4648661714879117,"Retrieval":0.4257808946244968,"InstructionReranking":-0.006954333333333334,"BitextMining":0.39239785334867255,"MultilabelClassification":0.18220857942601},"scoresByTask":{"ScalaClassification":0.50111083984375,"IndonesianIdClickbaitClassification":0.5763986515549843,"SICK-R":0.814748469518998,"SCIDOCS":0.23224,"PunjabiNewsClassification":0.5949044585987262,"AlloProfClusteringS2S.v2":0.42171193342654256,"SlovakMovieReviewSentimentClassification":0.57705078125,"WikipediaRerankingMultilingual":0.7548675264550264,"NTREXBitextMining":0.35223315441903863,"NusaParagraphEmotionClassification":0.281718386312593,"MassiveIntentClassification":0.2630365029533239,"STS13":0.8863998125652698,"CyrillicTurkicLangClassification":0.486572265625,"CSFDSKMovieReviewSentimentClassification":0.237451171875,"XNLI":0.6317842174241554,"CEDRClassification":0.33405951115834215,"WinoGrande":0.40828,"IN22GenBitextMining":0.1066991250497489,"NusaTranslationBitextMining":0.6975376543337282,"TwitterURLCorpus":0.8570698982748501,"PpcPC":0.819670840515333,"TwitterHjerneRetrieval":0.27671,"MalteseNewsClassification":0.2459730082716587,"STS12":0.8133552823557412,"LEMBPasskeyRetrieval":0.36,"BUCC.v2":0.577056072355872,"SwahiliNewsClassification":0.55625,"BiorxivClusteringP2P.v2":0.541196547218052,"STS14":0.847722847346502,"BornholmBitextMining":0.4500492063492063,"FaroeseSTS":0.6341164396990034,"WikiCitiesClustering":0.8884868793238737,"NusaXBitextMining":0.4004126437338121,"STSBenchmark":0.8763996146760704,"StackOverflowQA":0.85492,"MultiEURLEXMultilabelClassification":0.030940000000000002,"NorwegianCourtsBitextMining":0.8910818713450293,"PlscClusteringP2P.v2":0.6797400052868933,"ToxicConversationsClassification":0.839697265625,"BrazilianToxicTweetsClassification":0.232421875,"IndicLangClassification":0.4086429088039976,"News21InstructionRetrieval":0.016342,"GujaratiNewsClassification":0.4600910470409712,"SiswatiNewsClassification":0.45125000000000004,"STS17":0.5712350981367403,"NollySentiBitextMining":0.32523891953045364,"STS15":0.9022928378885277,"TempReasonL1":0.00951,"MedrxivClusteringP2P.v2":0.49585183072117767,"TRECCOVID":0.76648,"NepaliNewsClassification":0.523046875,"ArmenianParaphrasePC":0.897193448810461,"AmazonCounterfactualClassification":0.7414066816397549,"KorHateSpeechMLClassification":0.06764850270004909,"BelebeleRetrieval":0.36112074468085104,"AlloprofReranking":0.7085100526512748,"NordicLangClassification":0.4914666666666666,"StatcanDialogueDatasetRetrieval":0.4196475,"RuBQReranking":0.3965020561813707,"STSES":0.7684757660305823,"WikiClusteringP2P.v2":0.26539169959026726,"FinParaSTS":0.15533759032122146,"OpusparcusPC":0.8889128271152297,"CataloniaTweetClassification":0.4918124940478395,"GermanSTSBenchmark":0.7301454204722709,"SwissJudgementClassification":0.5442718756414203,"MLQARetrieval":0.2744561224489796,"SwednClusteringP2P":0.3205965281811596,"DBpediaClassification":0.908984375,"HagridRetrieval":0.984,"TswanaNewsClassification":0.30739219712525667,"WikipediaRetrievalMultilingual":0.555495625,"ArguAna":0.609,"MIRACLRetrievalHardNegatives":0.10086611111111111,"IsiZuluNewsClassification":0.22114361702127655,"DiaBlaBitextMining":0.6856360074305446,"LegalBenchCorporateLobbying":0.93586,"EstonianValenceClassification":0.2997555012224939,"SinhalaNewsClassification":0.394189453125,"SprintDuplicateQuestions":0.956075961598125,"CovidRetrieval":0.15857,"IndicCrosslingualSTS":0.06726973228853077,"Core17InstructionRetrieval":0.015288,"RTE3":0.871501115423084,"BibleNLPBitextMining":0.05518317172674023,"AfriSentiClassification":0.4036111258292249,"PAC":0.6313350709527947,"VoyageMMarcoReranking":0.26282614109794966,"GreekLegalCodeClassification":0.0832275390625,"KurdishSentimentClassification":0.6263714141922495,"Robust04InstructionRetrieval":-0.052493,"TERRa":0.4850687733499515,"indonli":0.48623920389605035,"SpartQA":0.04082,"SentimentAnalysisHindi":0.4390504994014181,"ItaCaseholdClassification":0.6882352941176471,"OdiaNewsClassification":0.5598423978271503,"MasakhaNEWSClassification":0.6512046772495622,"FinancialPhrasebankClassification":0.7566696113074205,"ArXivHierarchicalClusteringP2P":0.6392483709906334,"CLSClusteringP2P.v2":0.2647037819493522,"CTKFactsNLI":0.7230105655683896,"JSICK":0.5812561548806204,"STSB":0.4460396720051284,"FloresBitextMining":0.2593639651557765,"MacedonianTweetSentimentClassification":0.3464442493415276,"TweetTopicSingleClassification":0.6977554636739516,"SIB200ClusteringS2S":0.13203103747896314,"HALClusteringS2S.v2":0.24334929515258086,"BulgarianStoreReviewSentimentClassfication":0.3626373626373626,"CzechProductReviewSentimentClassification":0.44130859375,"PawsXPairClassification":0.5790271498093629,"FilipinoShopeeReviewsClassification":0.2875244140625,"SemRel24STS":0.4019127189502412,"BigPatentClustering.v2":0.34607188009214707,"ArXivHierarchicalClusteringS2S":0.6081704622679586,"AILAStatutes":0.31608,"MultiHateClassification":0.5461818181818182,"MasakhaNEWSClusteringS2S":0.3871449562428137,"DalajClassification":0.49808558558558563,"T2Reranking":0.5873697992352499,"WebLINXCandidatesReranking":0.07912145330659885,"KorSarcasmClassification":0.54765625,"NusaX-senti":0.5843958333333333,"StackExchangeClustering.v2":0.7757900851574056,"Tatoeba":0.19980019179540934,"PolEmo2.0-OUT":0.26842105263157895,"RomaniBibleClustering":0.3818011880888459,"STS22.v2":0.6200259991253527,"PoemSentimentClassification":0.5775228937728937,"IndicGenBenchFloresBitextMining":0.10088011030738349},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":81,"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":{"Classification":0.5409152906007753,"Clustering":0.4140511770247915,"PairClassification":0.7571427911255412,"Reranking":0.5989301979166667,"Retrieval":0.5219717090915366,"InstructionReranking":-0.017737333333333338,"BitextMining":0.5847780166720141,"MultilabelClassification":0.17669290434782609},"scoresByTask":{"ScalaClassification":0.5016605,"IndonesianIdClickbaitClassification":0.580763,"SICK-R":0.687448,"SCIDOCS":0.17721,"PunjabiNewsClassification":0.834395,"AlloProfClusteringS2S.v2":0.32115,"SlovakMovieReviewSentimentClassification":0.601074,"WikipediaRerankingMultilingual":0.8549066875,"NTREXBitextMining":0.6590276205636743,"NusaParagraphEmotionClassification":0.3277176,"MassiveIntentClassification":0.503351,"STS13":0.773053,"CyrillicTurkicLangClassification":0.512402,"CSFDSKMovieReviewSentimentClassification":0.247266,"XNLI":0.6446697142857143,"CEDRClassification":0.344633,"WinoGrande":0.60376,"IN22GenBitextMining":0.5436345177865612,"NusaTranslationBitextMining":0.5951930909090909,"TwitterURLCorpus":0.861545,"PpcPC":0.835082,"TwitterHjerneRetrieval":0.34977,"MalteseNewsClassification":0.228124,"STS12":0.751911,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.98113525,"SwahiliNewsClassification":0.602539,"BiorxivClusteringP2P.v2":0.385069,"STS14":0.749479,"BornholmBitextMining":0.405438,"FaroeseSTS":0.636052,"WikiCitiesClustering":0.662064,"NusaXBitextMining":0.4450346363636364,"STSBenchmark":0.784076,"StackOverflowQA":0.7845,"MultiEURLEXMultilabelClassification":0.04011652173913043,"NorwegianCourtsBitextMining":0.926901,"PlscClusteringP2P.v2":0.707084,"ToxicConversationsClassification":0.624805,"BrazilianToxicTweetsClassification":0.18252,"IndicLangClassification":0.270521,"News21InstructionRetrieval":0.009166,"GujaratiNewsClassification":0.82959,"SiswatiNewsClassification":0.5175,"NollySentiBitextMining":0.35831125,"STS15":0.860174,"TempReasonL1":0.00892,"MedrxivClusteringP2P.v2":0.354313,"TRECCOVID":0.68573,"NepaliNewsClassification":0.951709,"ArmenianParaphrasePC":0.944085,"AmazonCounterfactualClassification":0.71300775,"KorHateSpeechMLClassification":0.088071,"BelebeleRetrieval":0.6219613829787234,"AlloprofReranking":0.734146,"NordicLangClassification":0.419033,"StatcanDialogueDatasetRetrieval":0.3014,"RuBQReranking":0.681953,"STSES":0.779259,"WikiClusteringP2P.v2":0.26746235714285715,"FinParaSTS":0.1262055,"OpusparcusPC":0.9123376666666667,"CataloniaTweetClassification":0.46963175,"GermanSTSBenchmark":0.7900320000000001,"SwissJudgementClassification":0.5385676666666667,"MLQARetrieval":0.6298780612244899,"SwednClusteringP2P":0.319708,"DBpediaClassification":0.884277,"HagridRetrieval":0.9862,"TswanaNewsClassification":0.245585,"WikipediaRetrievalMultilingual":0.850581875,"ArguAna":0.55244,"MIRACLRetrievalHardNegatives":0.5944894444444445,"IsiZuluNewsClassification":0.227128,"DiaBlaBitextMining":0.832127,"LegalBenchCorporateLobbying":0.91316,"EstonianValenceClassification":0.348533,"SinhalaNewsClassification":0.750732,"SprintDuplicateQuestions":0.935084,"CovidRetrieval":0.58044,"IndicCrosslingualSTS":0.34516349999999996,"Core17InstructionRetrieval":0.004278,"RTE3":0.86700975,"BibleNLPBitextMining":0.08288825422705313,"AfriSentiClassification":0.4046595,"PAC":0.675731,"VoyageMMarcoReranking":0.563562,"GreekLegalCodeClassification":0.2887455,"KurdishSentimentClassification":0.600101,"Robust04InstructionRetrieval":-0.066656,"TERRa":0.562551,"indonli":0.495405,"SpartQA":0.10924,"SentimentAnalysisHindi":0.511137,"ItaCaseholdClassification":0.71991,"OdiaNewsClassification":0.7872,"MasakhaNEWSClassification":0.7100250625,"FinancialPhrasebankClassification":0.714178,"ArXivHierarchicalClusteringP2P":0.547465,"CLSClusteringP2P.v2":0.386857,"CTKFactsNLI":0.7186765,"JSICK":0.771764,"STSB":0.748993,"FloresBitextMining":0.4113208742876461,"MacedonianTweetSentimentClassification":0.534328,"TweetTopicSingleClassification":0.696751,"SIB200ClusteringS2S":0.2618633502538071,"HALClusteringS2S.v2":0.226243,"BulgarianStoreReviewSentimentClassfication":0.503297,"CzechProductReviewSentimentClassification":0.481006,"PawsXPairClassification":0.5521250714285715,"FilipinoShopeeReviewsClassification":0.2775145,"SemRel24STS":0.6141298333333333,"BigPatentClustering.v2":0.299931,"ArXivHierarchicalClusteringS2S":0.540382,"AILAStatutes":0.26081,"MultiHateClassification":0.5876,"MasakhaNEWSClusteringS2S":0.417428125,"DalajClassification":0.499212,"T2Reranking":0.669801,"WebLINXCandidatesReranking":0.08921250000000001,"KorSarcasmClassification":0.540771,"NusaX-senti":0.5936041666666666,"StackExchangeClustering.v2":0.532453,"Tatoeba":0.5689559553571428,"PolEmo2.0-OUT":0.167206,"RomaniBibleClustering":0.395346,"STS22.v2":0.6785498888888889,"PoemSentimentClassification":0.46459249999999996,"IndicGenBenchFloresBitextMining":0.7921467672413793},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":82,"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":{"STS":0.6966104039828362,"Classification":0.5506435391255491,"Clustering":0.40192411660649197,"PairClassification":0.8115442843643152,"Reranking":0.533746767203514,"Retrieval":0.3975775238634658,"InstructionReranking":-0.011384055264166052,"BitextMining":0.520626659919545,"MultilabelClassification":0.1497323689994118},"scoresByTask":{"ScalaClassification":0.5003662109375,"IndonesianIdClickbaitClassification":0.5940662989866821,"SICK-R":0.7962205774287165,"SCIDOCS":0.13965,"PunjabiNewsClassification":0.8019108280254776,"AlloProfClusteringS2S.v2":0.4180627407342839,"SlovakMovieReviewSentimentClassification":0.69599609375,"WikipediaRerankingMultilingual":0.8218340277777778,"NTREXBitextMining":0.6249489644808279,"NusaParagraphEmotionClassification":0.31869786508154097,"MassiveIntentClassification":0.5740488309832656,"STS13":0.851067656701606,"CyrillicTurkicLangClassification":0.331591796875,"CSFDSKMovieReviewSentimentClassification":0.321875,"XNLI":0.8320187787700871,"CEDRClassification":0.39984059511158343,"WinoGrande":0.49013,"IN22GenBitextMining":0.47707834188719683,"NusaTranslationBitextMining":0.4147127131182071,"TwitterURLCorpus":0.8532492627482752,"PpcPC":0.9367111973837764,"TwitterHjerneRetrieval":0.36681,"MalteseNewsClassification":0.10422289943404442,"STS12":0.7789525808313972,"LEMBPasskeyRetrieval":0.0775,"BUCC.v2":0.9793115146625337,"SwahiliNewsClassification":0.50537109375,"BiorxivClusteringP2P.v2":0.36069759040358595,"STS14":0.8080585658408256,"BornholmBitextMining":0.18182931512931513,"FaroeseSTS":0.5329624347842054,"WikiCitiesClustering":0.6172655474787038,"NusaXBitextMining":0.3849911346510821,"STSBenchmark":0.8682218476677823,"StackOverflowQA":0.43111,"MultiEURLEXMultilabelClassification":0.03373391304347826,"NorwegianCourtsBitextMining":0.8728070175438597,"PlscClusteringP2P.v2":0.6956819740132472,"ToxicConversationsClassification":0.65556640625,"BrazilianToxicTweetsClassification":0.151807,"IndicLangClassification":0.17905187717798673,"News21InstructionRetrieval":0.006136846883424381,"GujaratiNewsClassification":0.8193474962063731,"SiswatiNewsClassification":0.5974999999999999,"STS17":0.8251857092057722,"NollySentiBitextMining":0.23382655230372934,"STS15":0.8748018793840922,"TempReasonL1":0.01939,"MedrxivClusteringP2P.v2":0.35773235342706017,"TRECCOVID":0.37872,"NepaliNewsClassification":0.937109375,"ArmenianParaphrasePC":0.9538695054156368,"AmazonCounterfactualClassification":0.7276652761221295,"KorHateSpeechMLClassification":0.05905743740795287,"BelebeleRetrieval":0.5439205585106383,"AlloprofReranking":0.6720432168620495,"NordicLangClassification":0.4157,"StatcanDialogueDatasetRetrieval":0.189505,"RuBQReranking":0.5876834586094655,"STSES":0.7279937941549619,"WikiClusteringP2P.v2":0.2500914435128936,"FinParaSTS":0.25520348803775217,"OpusparcusPC":0.9502310401281101,"CataloniaTweetClassification":0.464225,"GermanSTSBenchmark":0.8439918653036127,"SwissJudgementClassification":0.5297885666702871,"MLQARetrieval":0.6116228571428571,"SwednClusteringP2P":0.30006062788022203,"DBpediaClassification":0.896533203125,"HagridRetrieval":0.98519,"TswanaNewsClassification":0.197741273100616,"WikipediaRetrievalMultilingual":0.717918125,"ArguAna":0.48908,"MIRACLRetrievalHardNegatives":0.2719388888888889,"IsiZuluNewsClassification":0.1988031914893617,"DiaBlaBitextMining":0.8068165252098795,"LegalBenchCorporateLobbying":0.87617,"EstonianValenceClassification":0.4083129584352078,"SinhalaNewsClassification":0.7099609375,"SprintDuplicateQuestions":0.9109871555441387,"CovidRetrieval":0.28852,"IndicCrosslingualSTS":0.3409687373505032,"Core17InstructionRetrieval":-0.0004272300749764979,"RTE3":0.8949319978186635,"BibleNLPBitextMining":0.05896934022959743,"AfriSentiClassification":0.4244547089175059,"PAC":0.6376194613379671,"VoyageMMarcoReranking":0.41259726618482384,"GreekLegalCodeClassification":0.31621093749999996,"KurdishSentimentClassification":0.7924006039255158,"Robust04InstructionRetrieval":-0.03986178260094604,"TERRa":0.6456662563306175,"indonli":0.5796744667660267,"SpartQA":0.05686,"SentimentAnalysisHindi":0.6054665306165083,"ItaCaseholdClassification":0.7176470588235293,"OdiaNewsClassification":0.7570942508435877,"MasakhaNEWSClassification":0.5896314804196201,"FinancialPhrasebankClassification":0.774249116607774,"ArXivHierarchicalClusteringP2P":0.5534276670530136,"CLSClusteringP2P.v2":0.3925507062183195,"CTKFactsNLI":0.8304815730260398,"JSICK":0.6469901497355702,"STSB":0.8244491739610309,"FloresBitextMining":0.3516645962764416,"MacedonianTweetSentimentClassification":0.6337137840210711,"TweetTopicSingleClassification":0.6815121086828115,"SIB200ClusteringS2S":0.24066656169282485,"HALClusteringS2S.v2":0.25617174685378363,"BulgarianStoreReviewSentimentClassfication":0.5510989010989011,"CzechProductReviewSentimentClassification":0.55458984375,"PawsXPairClassification":0.5391658940760972,"FilipinoShopeeReviewsClassification":0.27099609375,"SemRel24STS":0.5539463518408585,"BigPatentClustering.v2":0.22321962888929794,"ArXivHierarchicalClusteringS2S":0.5516032759428068,"AILAStatutes":0.22236,"MultiHateClassification":0.6254727272727273,"MasakhaNEWSClusteringS2S":0.3773332936804355,"DalajClassification":0.4998873873873875,"T2Reranking":0.6449298287723758,"WebLINXCandidatesReranking":0.06339280501459126,"KorSarcasmClassification":0.556005859375,"NusaX-senti":0.6110833333333333,"StackExchangeClustering.v2":0.46235438475977036,"Tatoeba":0.6216878936163452,"PolEmo2.0-OUT":0.19919028340080974,"RomaniBibleClustering":0.3738663231636226,"STS22.v2":0.6167516514966925,"PoemSentimentClassification":0.49811813186813186,"IndicGenBenchFloresBitextMining":0.7595026698450703},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":83,"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":{"STS":0.7128582111840795,"Classification":0.5464014009228744,"Clustering":0.38247505137327775,"PairClassification":0.8116052186147187,"Reranking":0.5427028854166667,"Retrieval":0.3847159236576821,"InstructionReranking":-0.010511,"BitextMining":0.558966374094882,"MultilabelClassification":0.14992731304347826},"scoresByTask":{"ScalaClassification":0.50214825,"IndonesianIdClickbaitClassification":0.558568,"SICK-R":0.7939435627520158,"SCIDOCS":0.12865,"PunjabiNewsClassification":0.70828,"AlloProfClusteringS2S.v2":0.377244,"SlovakMovieReviewSentimentClassification":0.683838,"WikipediaRerankingMultilingual":0.8402738125,"NTREXBitextMining":0.6628780652400834,"NusaParagraphEmotionClassification":0.3198899,"MassiveIntentClassification":0.5953866862745097,"STS13":0.8273032633919926,"CyrillicTurkicLangClassification":0.417773,"CSFDSKMovieReviewSentimentClassification":0.303467,"XNLI":0.8279478214285714,"CEDRClassification":0.382891,"WinoGrande":0.48617,"IN22GenBitextMining":0.5410290217391305,"NusaTranslationBitextMining":0.5004870909090909,"TwitterURLCorpus":0.860714,"PpcPC":0.937421,"TwitterHjerneRetrieval":0.33225,"MalteseNewsClassification":0.081323,"STS12":0.7893043293576132,"LEMBPasskeyRetrieval":0.1125,"BUCC.v2":0.984229,"SwahiliNewsClassification":0.502979,"BiorxivClusteringP2P.v2":0.323849,"STS14":0.8164974497557361,"BornholmBitextMining":0.215521,"FaroeseSTS":0.625112,"WikiCitiesClustering":0.660114,"NusaXBitextMining":0.46463572727272723,"STSBenchmark":0.8616303183485594,"StackOverflowQA":0.30623,"MultiEURLEXMultilabelClassification":0.031809565217391304,"NorwegianCourtsBitextMining":0.923246,"PlscClusteringP2P.v2":0.690582,"ToxicConversationsClassification":0.649463,"BrazilianToxicTweetsClassification":0.18999,"IndicLangClassification":0.243382,"News21InstructionRetrieval":0.006749,"GujaratiNewsClassification":0.76047,"SiswatiNewsClassification":0.65375,"STS17":0.8246652727272727,"NollySentiBitextMining":0.28433450000000005,"STS15":0.8762163215009723,"TempReasonL1":0.01914,"MedrxivClusteringP2P.v2":0.3234,"TRECCOVID":0.3851,"NepaliNewsClassification":0.909473,"ArmenianParaphrasePC":0.951576,"AmazonCounterfactualClassification":0.750812125,"KorHateSpeechMLClassification":0.063623,"BelebeleRetrieval":0.5461790691489361,"AlloprofReranking":0.651898,"NordicLangClassification":0.4302,"StatcanDialogueDatasetRetrieval":0.118945,"RuBQReranking":0.609206,"STSES":0.741421,"WikiClusteringP2P.v2":0.24862792857142857,"FinParaSTS":0.2814115,"OpusparcusPC":0.9512560833333333,"CataloniaTweetClassification":0.4294635,"GermanSTSBenchmark":0.8308725,"SwissJudgementClassification":0.5313553333333333,"MLQARetrieval":0.597200612244898,"SwednClusteringP2P":0.23046,"DBpediaClassification":0.897266,"HagridRetrieval":0.98519,"TswanaNewsClassification":0.197947,"WikipediaRetrievalMultilingual":0.7668425,"ArguAna":0.43975,"MIRACLRetrievalHardNegatives":0.29272944444444443,"IsiZuluNewsClassification":0.224867,"DiaBlaBitextMining":0.832343,"LegalBenchCorporateLobbying":0.83769,"EstonianValenceClassification":0.394621,"SinhalaNewsClassification":0.670947,"SprintDuplicateQuestions":0.89418,"CovidRetrieval":0.33563,"IndicCrosslingualSTS":0.3758553333333334,"Core17InstructionRetrieval":0.005357,"RTE3":0.891663,"BibleNLPBitextMining":0.0651768079710145,"AfriSentiClassification":0.41536475,"PAC":0.637388,"VoyageMMarcoReranking":0.431488,"GreekLegalCodeClassification":0.309473,"KurdishSentimentClassification":0.745496,"Robust04InstructionRetrieval":-0.043639,"TERRa":0.627097,"indonli":0.589598,"SpartQA":0.03958,"SentimentAnalysisHindi":0.616136,"ItaCaseholdClassification":0.786878,"OdiaNewsClassification":0.725131,"MasakhaNEWSClassification":0.5617489375,"FinancialPhrasebankClassification":0.766166,"ArXivHierarchicalClusteringP2P":0.526607,"CLSClusteringP2P.v2":0.353973,"CTKFactsNLI":0.8519405,"JSICK":0.727201,"STSB":0.8126575,"FloresBitextMining":0.3675036402492031,"MacedonianTweetSentimentClassification":0.585953,"TweetTopicSingleClassification":0.616302,"SIB200ClusteringS2S":0.21370089340101525,"HALClusteringS2S.v2":0.207738,"BulgarianStoreReviewSentimentClassfication":0.548352,"CzechProductReviewSentimentClassification":0.535742,"PawsXPairClassification":0.544264,"FilipinoShopeeReviewsClassification":0.275635,"SemRel24STS":0.6038239166666667,"BigPatentClustering.v2":0.203497,"ArXivHierarchicalClusteringS2S":0.525286,"AILAStatutes":0.19511,"MultiHateClassification":0.624009090909091,"MasakhaNEWSClusteringS2S":0.36839099999999997,"DalajClassification":0.499324,"T2Reranking":0.661358,"WebLINXCandidatesReranking":0.0619935,"KorSarcasmClassification":0.544629,"NusaX-senti":0.6026666666666667,"StackExchangeClustering.v2":0.485842,"Tatoeba":0.6357807857142858,"PolEmo2.0-OUT":0.262551,"RomaniBibleClustering":0.380289,"STS22.v2":0.6178161111111111,"PoemSentimentClassification":0.49996799999999997,"IndicGenBenchFloresBitextMining":0.789398224137931},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":84,"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":0.5206696822099908,"meanTaskType":0.4564896174791991,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.653497625056543,"Classification":0.5460084417572433,"Clustering":0.3808039646433129,"PairClassification":0.7596908880619057,"Reranking":0.5019756209844671,"Retrieval":0.3316911301516272,"InstructionReranking":-0.02998099257303799,"BitextMining":0.763498710374755,"MultilabelClassification":0.20122116885597582},"scoresByTask":{"ScalaClassification":0.5055908203125,"IndonesianIdClickbaitClassification":0.591308197035622,"SICK-R":0.6999188482038212,"SCIDOCS":0.05632,"PunjabiNewsClassification":0.773248407643312,"AlloProfClusteringS2S.v2":0.30208929693435194,"SlovakMovieReviewSentimentClassification":0.618408203125,"WikipediaRerankingMultilingual":0.8093706183862434,"NTREXBitextMining":0.9069040801163176,"NusaParagraphEmotionClassification":0.38866748596455997,"MassiveIntentClassification":0.5761129308963128,"STS13":0.6797543550218779,"CyrillicTurkicLangClassification":0.35986328125,"CSFDSKMovieReviewSentimentClassification":0.2927734375,"XNLI":0.6653794760346823,"CEDRClassification":0.40605738575982997,"WinoGrande":0.54296,"IN22GenBitextMining":0.7403924046858019,"NusaTranslationBitextMining":0.8116996527378909,"TwitterURLCorpus":0.8458219134995364,"PpcPC":0.8696783545579525,"TwitterHjerneRetrieval":0.1438,"MalteseNewsClassification":0.29042228994340447,"STS12":0.6508166563535989,"LEMBPasskeyRetrieval":0.2,"BUCC.v2":0.9876684202018526,"SwahiliNewsClassification":0.600146484375,"BiorxivClusteringP2P.v2":0.32427862133174284,"STS14":0.6403144384844788,"BornholmBitextMining":0.45625569985569986,"FaroeseSTS":0.5520673066381397,"WikiCitiesClustering":0.6509677179134266,"NusaXBitextMining":0.7789231068021949,"STSBenchmark":0.7225055941558153,"StackOverflowQA":0.38226,"MultiEURLEXMultilabelClassification":0.03554,"NorwegianCourtsBitextMining":0.9261695906432749,"PlscClusteringP2P.v2":0.7080798656548408,"ToxicConversationsClassification":0.632373046875,"BrazilianToxicTweetsClassification":0.207861328125,"IndicLangClassification":0.19197843382207902,"News21InstructionRetrieval":-0.011131448533904752,"GujaratiNewsClassification":0.7635811836115327,"SiswatiNewsClassification":0.6425,"STS17":0.7418204228376322,"NollySentiBitextMining":0.8051809910956252,"STS15":0.7659341752268845,"TempReasonL1":0.01564,"MedrxivClusteringP2P.v2":0.3375144873879118,"TRECCOVID":0.16339,"NepaliNewsClassification":0.868212890625,"ArmenianParaphrasePC":0.9556336462001336,"AmazonCounterfactualClassification":0.749879103380403,"KorHateSpeechMLClassification":0.06622484045164456,"BelebeleRetrieval":0.6073163829787234,"AlloprofReranking":0.5537476614602802,"NordicLangClassification":0.35386666666666666,"StatcanDialogueDatasetRetrieval":0.0417275,"RuBQReranking":0.5512582873913561,"STSES":0.7690847725508182,"WikiClusteringP2P.v2":0.2529623663247956,"FinParaSTS":0.24823815963063123,"OpusparcusPC":0.9399158612092902,"CataloniaTweetClassification":0.46525,"GermanSTSBenchmark":0.7333711525875363,"SwissJudgementClassification":0.5506066640116819,"MLQARetrieval":0.5269732653061224,"SwednClusteringP2P":0.27933570690404086,"DBpediaClassification":0.8478515625,"HagridRetrieval":0.94763,"TswanaNewsClassification":0.41252566735112933,"WikipediaRetrievalMultilingual":0.66306375,"ArguAna":0.34178,"MIRACLRetrievalHardNegatives":0.17492944444444444,"IsiZuluNewsClassification":0.32327127659574467,"DiaBlaBitextMining":0.8757355794673122,"LegalBenchCorporateLobbying":0.69388,"EstonianValenceClassification":0.3828850855745721,"SinhalaNewsClassification":0.6611328125,"SprintDuplicateQuestions":0.8926375293062657,"CovidRetrieval":0.28599,"IndicCrosslingualSTS":0.5275801799859855,"Core17InstructionRetrieval":0.014913995291081414,"RTE3":0.8699708774086988,"BibleNLPBitextMining":0.1879184613804074,"AfriSentiClassification":0.43170656636349797,"PAC":0.6808572256009267,"VoyageMMarcoReranking":0.3732765827961959,"GreekLegalCodeClassification":0.1956298828125,"KurdishSentimentClassification":0.6101157523905385,"Robust04InstructionRetrieval":-0.09372552447629062,"TERRa":0.557081571444402,"indonli":0.4985596761955143,"SpartQA":0.01561,"SentimentAnalysisHindi":0.5341089803803458,"ItaCaseholdClassification":0.5325791855203621,"OdiaNewsClassification":0.7692460728262358,"MasakhaNEWSClassification":0.7221757817744032,"FinancialPhrasebankClassification":0.7186395759717314,"ArXivHierarchicalClusteringP2P":0.5344270249920056,"CLSClusteringP2P.v2":0.358001191189406,"CTKFactsNLI":0.7482363869551538,"JSICK":0.7698893346336119,"STSB":0.6993403703159636,"FloresBitextMining":0.7211323597266492,"MacedonianTweetSentimentClassification":0.5359086918349429,"TweetTopicSingleClassification":0.5484937979917307,"SIB200ClusteringS2S":0.18786704860428421,"HALClusteringS2S.v2":0.20392138532862622,"BulgarianStoreReviewSentimentClassfication":0.5461538461538462,"CzechProductReviewSentimentClassification":0.527392578125,"PawsXPairClassification":0.5136844758693341,"FilipinoShopeeReviewsClassification":0.3269287109375,"SemRel24STS":0.6227748092129947,"BigPatentClustering.v2":0.3231379480681305,"ArXivHierarchicalClusteringS2S":0.49986064489223114,"AILAStatutes":0.16717,"MultiHateClassification":0.6078818181818182,"MasakhaNEWSClusteringS2S":0.3916459230286812,"DalajClassification":0.49887387387387383,"T2Reranking":0.6328614882694595,"WebLINXCandidatesReranking":0.0913390876032677,"KorSarcasmClassification":0.5609375,"NusaX-senti":0.6497916666666667,"StackExchangeClustering.v2":0.30233366371330894,"Tatoeba":0.8114049549210332,"PolEmo2.0-OUT":0.44757085020242915,"RomaniBibleClustering":0.43644054202522203,"STS22.v2":0.632551425064898,"PoemSentimentClassification":0.4813369963369963,"IndicGenBenchFloresBitextMining":0.9160979332377558},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":85,"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":{"Classification":0.5731564300439415,"Clustering":0.4170979550625453,"PairClassification":0.7481927007091642,"Reranking":0.48846876736111106,"InstructionReranking":-0.0009136666666666673,"BitextMining":0.19535671305491376},"scoresByTask":{"ScalaClassification":0.53228725,"IndonesianIdClickbaitClassification":0.592307,"SICK-R":0.8246041161692649,"SCIDOCS":0.16628999999999997,"PunjabiNewsClassification":0.642675,"AlloProfClusteringS2S.v2":0.261816,"SlovakMovieReviewSentimentClassification":0.621143,"WikipediaRerankingMultilingual":0.8030999375,"NTREXBitextMining":0.1355470307933194,"NusaParagraphEmotionClassification":0.4245602,"MassiveIntentClassification":0.5349812843137255,"STS13":0.8994300436293617,"CyrillicTurkicLangClassification":0.779639,"CSFDSKMovieReviewSentimentClassification":0.2979,"XNLI":0.5890587142857143,"CEDRClassification":0.37763,"WinoGrande":0.01985,"IN22GenBitextMining":0.14436582015810276,"NusaTranslationBitextMining":0.4262346363636364,"TwitterURLCorpus":0.8749835162128704,"PpcPC":0.741097,"TwitterHjerneRetrieval":0.15067,"MalteseNewsClassification":0.256073,"STS12":0.8015194914870666,"LEMBPasskeyRetrieval":0.2225,"BUCC.v2":0.203128,"SwahiliNewsClassification":0.647559,"BiorxivClusteringP2P.v2":0.381548,"STS14":0.8623848649310362,"BornholmBitextMining":0.181718,"FaroeseSTS":0.515356,"WikiCitiesClustering":0.836133,"NusaXBitextMining":0.14709827272727272,"STSBenchmark":0.8920507562822989,"StackOverflowQA":0.60661,"NorwegianCourtsBitextMining":0.819444,"PlscClusteringP2P.v2":0.711804,"ToxicConversationsClassification":0.6843159999999999,"BrazilianToxicTweetsClassification":0.168115,"IndicLangClassification":0.90144,"News21InstructionRetrieval":0.006018,"GujaratiNewsClassification":0.602124,"SiswatiNewsClassification":0.76,"NollySentiBitextMining":0.0916305,"STS15":0.9119520084590635,"TempReasonL1":0.00422,"MedrxivClusteringP2P.v2":0.348086,"TRECCOVID":0.87433,"NepaliNewsClassification":0.927539,"ArmenianParaphrasePC":0.915839,"AmazonCounterfactualClassification":0.711985625,"KorHateSpeechMLClassification":0.070447,"BelebeleRetrieval":0.2757351595744681,"AlloprofReranking":0.412361,"NordicLangClassification":0.736967,"StatcanDialogueDatasetRetrieval":0.045169999999999995,"RuBQReranking":0.518568,"STSES":0.693728,"WikiClusteringP2P.v2":0.24257735714285714,"FinParaSTS":0.03193,"OpusparcusPC":0.8945971666666667,"CataloniaTweetClassification":0.49741475,"GermanSTSBenchmark":0.669775,"SwissJudgementClassification":0.5435373333333333,"MLQARetrieval":0.20934551020408163,"SwednClusteringP2P":0.3827085,"DBpediaClassification":0.907812,"TswanaNewsClassification":0.384189,"WikipediaRetrievalMultilingual":0.719349375,"ArguAna":0.59295,"IsiZuluNewsClassification":0.256383,"DiaBlaBitextMining":0.020058,"LegalBenchCorporateLobbying":0.82615,"EstonianValenceClassification":0.342665,"SinhalaNewsClassification":0.533838,"SprintDuplicateQuestions":0.9577631677784113,"CovidRetrieval":0.5432,"IndicCrosslingualSTS":-0.04807316666666667,"Core17InstructionRetrieval":0.014593,"RTE3":0.874209,"BibleNLPBitextMining":0.0204027306763285,"AfriSentiClassification":0.4034985833333333,"PAC":0.676281,"VoyageMMarcoReranking":0.45668,"GreekLegalCodeClassification":0.368286,"KurdishSentimentClassification":0.579265,"Robust04InstructionRetrieval":-0.023352,"TERRa":0.532681,"indonli":0.503525,"SpartQA":0.00424,"SentimentAnalysisHindi":0.447105,"ItaCaseholdClassification":0.760181,"OdiaNewsClassification":0.485566,"MasakhaNEWSClassification":0.741718375,"FinancialPhrasebankClassification":0.684099,"ArXivHierarchicalClusteringP2P":0.600154,"CLSClusteringP2P.v2":0.390819,"CTKFactsNLI":0.7378155,"JSICK":0.764772,"STSB":0.6724195,"FloresBitextMining":0.09480800159374095,"MacedonianTweetSentimentClassification":0.494644,"TweetTopicSingleClassification":0.705139,"SIB200ClusteringS2S":0.17290792385786802,"HALClusteringS2S.v2":0.202426,"BulgarianStoreReviewSentimentClassfication":0.523626,"CzechProductReviewSentimentClassification":0.48833,"PawsXPairClassification":0.6085506428571429,"FilipinoShopeeReviewsClassification":0.3272705,"SemRel24STS":0.5083290833333334,"BigPatentClustering.v2":0.299812,"ArXivHierarchicalClusteringS2S":0.560762,"AILAStatutes":0.2641,"MultiHateClassification":0.5879090909090908,"MasakhaNEWSClusteringS2S":0.37176750000000003,"DalajClassification":0.500788,"T2Reranking":0.643867,"WebLINXCandidatesReranking":0.09623666666666668,"KorSarcasmClassification":0.553174,"NusaX-senti":0.6025625,"StackExchangeClustering.v2":0.525119,"Tatoeba":0.11023879464285714,"PolEmo2.0-OUT":0.414372,"RomaniBibleClustering":0.385127,"STS22.v2":0.5587195,"PoemSentimentClassification":0.43864899999999996,"IndicGenBenchFloresBitextMining":0.1449634827586207},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":86,"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":{"STS":0.6075033487714272,"Classification":0.49655958222896046,"Clustering":0.41868347230878,"PairClassification":0.7281645843806566,"Reranking":0.48349681468280165,"Retrieval":0.41209877871489414,"InstructionReranking":-0.021441666666666668,"BitextMining":0.26835797691520874,"MultilabelClassification":0.17174808553342885},"scoresByTask":{"ScalaClassification":0.50181884765625,"IndonesianIdClickbaitClassification":0.572793,"SICK-R":0.8262331465639475,"SCIDOCS":0.22981,"PunjabiNewsClassification":0.6617834394904458,"AlloProfClusteringS2S.v2":0.376275,"SlovakMovieReviewSentimentClassification":0.561475,"WikipediaRerankingMultilingual":0.7214050595238095,"NTREXBitextMining":0.22071425521920668,"NusaParagraphEmotionClassification":0.29794233879949167,"MassiveIntentClassification":0.3572800906370882,"STS13":0.8961713197117621,"CyrillicTurkicLangClassification":0.654785,"CSFDSKMovieReviewSentimentClassification":0.21201171875,"XNLI":0.6066839497965902,"CEDRClassification":0.3427736450584485,"WinoGrande":0.53605,"IN22GenBitextMining":0.05634440513833992,"NusaTranslationBitextMining":0.5643877272727272,"TwitterURLCorpus":0.8633025598681032,"PpcPC":0.7157522555941394,"TwitterHjerneRetrieval":0.13116,"MalteseNewsClassification":0.236265,"STS12":0.7909144554302442,"LEMBPasskeyRetrieval":0.375,"BUCC.v2":0.28284575,"SwahiliNewsClassification":0.5392578125,"BiorxivClusteringP2P.v2":0.417929,"STS14":0.8501783656853793,"BornholmBitextMining":0.3305969696969697,"FaroeseSTS":0.6411057176624086,"WikiCitiesClustering":0.864723,"NusaXBitextMining":0.2787854749436734,"STSBenchmark":0.8906081794905042,"StackOverflowQA":0.82092,"MultiEURLEXMultilabelClassification":0.03143478260869565,"NorwegianCourtsBitextMining":0.9049707602339181,"PlscClusteringP2P.v2":0.686942,"ToxicConversationsClassification":0.668896484375,"BrazilianToxicTweetsClassification":0.207324,"IndicLangClassification":0.43420671970543756,"News21InstructionRetrieval":0.003038,"GujaratiNewsClassification":0.428756,"SiswatiNewsClassification":0.74375,"STS17":0.4353181258063066,"NollySentiBitextMining":0.2859717384516783,"STS15":0.8950909892872387,"TempReasonL1":0.01614,"MedrxivClusteringP2P.v2":0.368819606384123,"TRECCOVID":0.76271,"NepaliNewsClassification":0.40947265625,"ArmenianParaphrasePC":0.879928145270874,"AmazonCounterfactualClassification":0.6609239893794552,"KorHateSpeechMLClassification":0.040943,"BelebeleRetrieval":0.30494992021276596,"AlloprofReranking":0.6848897697982276,"NordicLangClassification":0.5420666666666667,"StatcanDialogueDatasetRetrieval":0.21875999999999998,"RuBQReranking":0.46192079726657154,"STSES":0.7660494323611018,"WikiClusteringP2P.v2":0.25779459761142093,"FinParaSTS":0.08099015267269791,"OpusparcusPC":0.8753004326482765,"CataloniaTweetClassification":0.48369475,"GermanSTSBenchmark":0.6775364097162251,"SwissJudgementClassification":0.5304123333333334,"MLQARetrieval":0.22793969387755103,"SwednClusteringP2P":0.33057583603273255,"DBpediaClassification":0.835498046875,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.2655030800821355,"WikipediaRetrievalMultilingual":0.567310625,"ArguAna":0.6614999999999999,"MIRACLRetrievalHardNegatives":0.1875877777777778,"IsiZuluNewsClassification":0.2712765957446808,"DiaBlaBitextMining":0.259686,"LegalBenchCorporateLobbying":0.92002,"EstonianValenceClassification":0.2897310513447433,"SinhalaNewsClassification":0.37880859375,"SprintDuplicateQuestions":0.9723695845695101,"CovidRetrieval":0.19998,"IndicCrosslingualSTS":0.023132239743669625,"Core17InstructionRetrieval":0.00247,"RTE3":0.8750007837085549,"BibleNLPBitextMining":0.01679641183263981,"AfriSentiClassification":0.38268989109150237,"PAC":0.6061685490877498,"VoyageMMarcoReranking":0.31578506693006225,"GreekLegalCodeClassification":0.08212900000000001,"KurdishSentimentClassification":0.5795168595873176,"Robust04InstructionRetrieval":-0.069833,"TERRa":0.47756153740687374,"indonli":0.48743918848895984,"SpartQA":0.02503,"SentimentAnalysisHindi":0.371396,"ItaCaseholdClassification":0.9167420814479639,"OdiaNewsClassification":0.5478355420819715,"MasakhaNEWSClassification":0.6265933208742325,"FinancialPhrasebankClassification":0.7853798586572437,"ArXivHierarchicalClusteringP2P":0.5937910271512732,"CLSClusteringP2P.v2":0.182223,"CTKFactsNLI":0.716682,"JSICK":0.6278255263784759,"STSB":0.4378498621850465,"FloresBitextMining":0.15255827801120447,"MacedonianTweetSentimentClassification":0.38990342405618966,"TweetTopicSingleClassification":0.714767,"SIB200ClusteringS2S":0.11781302565284234,"HALClusteringS2S.v2":0.26636227189930406,"BulgarianStoreReviewSentimentClassfication":0.35219780219780217,"CzechProductReviewSentimentClassification":0.43896484375,"PawsXPairClassification":0.5397899908353405,"FilipinoShopeeReviewsClassification":0.28772,"SemRel24STS":0.37282938340141314,"BigPatentClustering.v2":0.2825389303617144,"ArXivHierarchicalClusteringS2S":0.6051344629594086,"AILAStatutes":0.24455,"MultiHateClassification":0.5639090909090908,"MasakhaNEWSClusteringS2S":0.4065111769094275,"DalajClassification":0.499775,"T2Reranking":0.6347541104224886,"WebLINXCandidatesReranking":0.08222608415565051,"KorSarcasmClassification":0.5439453125,"NusaX-senti":0.540625,"StackExchangeClustering.v2":0.5721976219782328,"Tatoeba":0.08035961013183832,"PolEmo2.0-OUT":0.2880566801619433,"RomaniBibleClustering":0.369305,"STS22.v2":0.5082202742464148,"PoemSentimentClassification":0.5316025641025641,"IndicGenBenchFloresBitextMining":0.05463631896551724},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":87,"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":0.45911937318587737,"meanTaskType":0.3944831391169199,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6046032081966788,"Classification":0.49740483257233625,"Clustering":0.42487729574133226,"PairClassification":0.7255606124276436,"Reranking":0.475955643833527,"Retrieval":0.4030404296177691,"InstructionReranking":-0.019523333333333334,"BitextMining":0.25741698449057354,"MultilabelClassification":0.18101257850575242},"scoresByTask":{"ScalaClassification":0.5014404296875,"IndonesianIdClickbaitClassification":0.5736171592254067,"SICK-R":0.8277671230423026,"SCIDOCS":0.23101,"PunjabiNewsClassification":0.6496815286624203,"AlloProfClusteringS2S.v2":0.3789706960033518,"SlovakMovieReviewSentimentClassification":0.5642578125,"WikipediaRerankingMultilingual":0.7190572916666667,"NTREXBitextMining":0.2094225075608307,"NusaParagraphEmotionClassification":0.29784414487635785,"MassiveIntentClassification":0.3531995658407899,"STS13":0.8979451553480633,"CyrillicTurkicLangClassification":0.653173828125,"CSFDSKMovieReviewSentimentClassification":0.212939453125,"XNLI":0.6055027188799453,"CEDRClassification":0.38241232731137087,"WinoGrande":0.47988,"IN22GenBitextMining":0.053179339755554944,"NusaTranslationBitextMining":0.55667044644078,"TwitterURLCorpus":0.862275892878467,"PpcPC":0.704224157826027,"TwitterHjerneRetrieval":0.15541,"MalteseNewsClassification":0.247976,"STS12":0.7906872494516909,"LEMBPasskeyRetrieval":0.3575,"BUCC.v2":0.2651832252935446,"SwahiliNewsClassification":0.544775390625,"BiorxivClusteringP2P.v2":0.4187022064365139,"STS14":0.8521908733722553,"BornholmBitextMining":0.3024860028860029,"FaroeseSTS":0.6230161099163795,"WikiCitiesClustering":0.8805530575095165,"NusaXBitextMining":0.2594557723840453,"STSBenchmark":0.8928960362631743,"StackOverflowQA":0.80874,"MultiEURLEXMultilabelClassification":0.0313895652173913,"NorwegianCourtsBitextMining":0.9057017543859649,"PlscClusteringP2P.v2":0.7060814075768891,"ToxicConversationsClassification":0.67314453125,"BrazilianToxicTweetsClassification":0.202539,"IndicLangClassification":0.4375665724242225,"News21InstructionRetrieval":0.007469,"GujaratiNewsClassification":0.43141122913505303,"SiswatiNewsClassification":0.74375,"STS17":0.4265608888134615,"NollySentiBitextMining":0.27227638714885655,"STS15":0.89343833752036,"TempReasonL1":0.0159,"MedrxivClusteringP2P.v2":0.37269967546926125,"TRECCOVID":0.7553,"NepaliNewsClassification":0.407373046875,"ArmenianParaphrasePC":0.8716392150085285,"AmazonCounterfactualClassification":0.6571679524770283,"KorHateSpeechMLClassification":0.040746,"BelebeleRetrieval":0.2974103989361702,"AlloprofReranking":0.6729620627601599,"NordicLangClassification":0.5446666666666666,"StatcanDialogueDatasetRetrieval":0.19129,"RuBQReranking":0.4439899163429036,"STSES":0.7561987115112402,"WikiClusteringP2P.v2":0.26178465063998424,"FinParaSTS":0.08411662818410127,"OpusparcusPC":0.8719461783376713,"CataloniaTweetClassification":0.48302809276464187,"GermanSTSBenchmark":0.6718068176966264,"SwissJudgementClassification":0.5325109522526684,"MLQARetrieval":0.22393795918367349,"SwednClusteringP2P":0.32976064615039524,"DBpediaClassification":0.857275390625,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.2646817248459959,"WikipediaRetrievalMultilingual":0.549699375,"ArguAna":0.65469,"MIRACLRetrievalHardNegatives":0.1778,"IsiZuluNewsClassification":0.2710106382978723,"DiaBlaBitextMining":0.24029052410368862,"LegalBenchCorporateLobbying":0.91814,"EstonianValenceClassification":0.2910757946210269,"SinhalaNewsClassification":0.385888671875,"SprintDuplicateQuestions":0.9681663100569824,"CovidRetrieval":0.18702,"IndicCrosslingualSTS":0.028329027704181015,"Core17InstructionRetrieval":0.008719,"RTE3":0.8757942194730443,"BibleNLPBitextMining":0.015035651773277002,"AfriSentiClassification":0.38156415339565813,"PAC":0.6053286996814364,"VoyageMMarcoReranking":0.3044215801734777,"GreekLegalCodeClassification":0.081591796875,"KurdishSentimentClassification":0.5774031202818318,"Robust04InstructionRetrieval":-0.074758,"TERRa":0.48149944697559516,"indonli":0.487643601458615,"SpartQA":0.0151,"SentimentAnalysisHindi":0.37057799220328025,"ItaCaseholdClassification":0.8981900452488688,"OdiaNewsClassification":0.5438216933088127,"MasakhaNEWSClassification":0.6329837922762794,"FinancialPhrasebankClassification":0.7962014134275618,"ArXivHierarchicalClusteringP2P":0.6010625739174296,"CLSClusteringP2P.v2":0.17874050371010197,"CTKFactsNLI":0.71320298861833,"JSICK":0.6266568613200523,"STSB":0.4333993849247296,"FloresBitextMining":0.1443203040193602,"MacedonianTweetSentimentClassification":0.38858647936786656,"TweetTopicSingleClassification":0.7221500295333727,"SIB200ClusteringS2S":0.12250535406281814,"HALClusteringS2S.v2":0.2631659943607061,"BulgarianStoreReviewSentimentClassfication":0.34945054945054943,"CzechProductReviewSentimentClassification":0.435546875,"PawsXPairClassification":0.5392720071908735,"FilipinoShopeeReviewsClassification":0.287158203125,"SemRel24STS":0.35924517615053503,"BigPatentClustering.v2":0.3475497129400884,"ArXivHierarchicalClusteringS2S":0.5899389736636808,"AILAStatutes":0.24754,"MultiHateClassification":0.5641636363636363,"MasakhaNEWSClusteringS2S":0.4209934387385591,"DalajClassification":0.49808558558558563,"T2Reranking":0.6303236081284148,"WebLINXCandidatesReranking":0.08497940392953945,"KorSarcasmClassification":0.54775390625,"NusaX-senti":0.5415208333333333,"StackExchangeClustering.v2":0.550802570899201,"Tatoeba":0.07594548920154452,"PolEmo2.0-OUT":0.29797570850202426,"RomaniBibleClustering":0.37472526978281945,"STS22.v2":0.5093969499277071,"PoemSentimentClassification":0.5368727106227107,"IndicGenBenchFloresBitextMining":0.04645339342400557},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":88,"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":0.5191888317290785,"meanTaskType":0.4590963035875404,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6557525632891414,"Classification":0.49621705670988275,"Clustering":0.43645388457725254,"PairClassification":0.7453745021645021,"Reranking":0.5939110833333333,"Retrieval":0.6031867130081938,"InstructionReranking":-0.020111666666666667,"BitextMining":0.4420094393504854,"MultilabelClassification":0.1790731565217391},"scoresByTask":{"ScalaClassification":0.50084225,"IndonesianIdClickbaitClassification":0.566486,"SICK-R":0.700609,"SCIDOCS":0.20355,"PunjabiNewsClassification":0.694904,"AlloProfClusteringS2S.v2":0.418171,"SlovakMovieReviewSentimentClassification":0.597266,"WikipediaRerankingMultilingual":0.834395,"NTREXBitextMining":0.47681417849686847,"NusaParagraphEmotionClassification":0.3243852,"MassiveIntentClassification":0.4124231078431373,"STS13":0.797896,"CyrillicTurkicLangClassification":0.450098,"CSFDSKMovieReviewSentimentClassification":0.24707,"XNLI":0.6044388214285714,"CEDRClassification":0.338895,"WinoGrande":0.5661,"IN22GenBitextMining":0.1848144644268775,"NusaTranslationBitextMining":0.49238309090909094,"TwitterURLCorpus":0.826311,"PpcPC":0.830925,"TwitterHjerneRetrieval":0.56708,"MalteseNewsClassification":0.250892,"STS12":0.713433,"LEMBPasskeyRetrieval":0.8275,"BUCC.v2":0.9318897500000001,"SwahiliNewsClassification":0.57793,"BiorxivClusteringP2P.v2":0.397051,"STS14":0.724612,"BornholmBitextMining":0.26639,"FaroeseSTS":0.595233,"WikiCitiesClustering":0.774675,"NusaXBitextMining":0.381961090909091,"STSBenchmark":0.779391,"StackOverflowQA":0.81991,"MultiEURLEXMultilabelClassification":0.03843478260869565,"NorwegianCourtsBitextMining":0.881579,"PlscClusteringP2P.v2":0.724205,"ToxicConversationsClassification":0.574707,"BrazilianToxicTweetsClassification":0.193457,"IndicLangClassification":0.548458,"News21InstructionRetrieval":0.003257,"GujaratiNewsClassification":0.470789,"SiswatiNewsClassification":0.465,"STS17":0.6985668181818182,"NollySentiBitextMining":0.29512174999999996,"STS15":0.835842,"TempReasonL1":0.05145,"MedrxivClusteringP2P.v2":0.365743,"TRECCOVID":0.66266,"NepaliNewsClassification":0.939795,"ArmenianParaphrasePC":0.92333,"AmazonCounterfactualClassification":0.6193538749999999,"KorHateSpeechMLClassification":0.073687,"BelebeleRetrieval":0.5285722074468084,"AlloprofReranking":0.73172,"NordicLangClassification":0.414033,"StatcanDialogueDatasetRetrieval":0.5364975,"RuBQReranking":0.67935,"STSES":0.778293,"WikiClusteringP2P.v2":0.25884650000000003,"FinParaSTS":0.1366745,"OpusparcusPC":0.9051271666666666,"CataloniaTweetClassification":0.45391225,"GermanSTSBenchmark":0.751884,"SwissJudgementClassification":0.5481306666666667,"MLQARetrieval":0.6053759183673469,"SwednClusteringP2P":0.327188,"DBpediaClassification":0.816113,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.228953,"WikipediaRetrievalMultilingual":0.832406875,"ArguAna":0.53087,"MIRACLRetrievalHardNegatives":0.5608683333333333,"IsiZuluNewsClassification":0.215559,"DiaBlaBitextMining":0.688695,"LegalBenchCorporateLobbying":0.91362,"EstonianValenceClassification":0.331051,"SinhalaNewsClassification":0.465283,"SprintDuplicateQuestions":0.952052,"CovidRetrieval":0.701,"IndicCrosslingualSTS":0.16805608333333333,"Core17InstructionRetrieval":-0.001931,"RTE3":0.85684575,"BibleNLPBitextMining":0.0522281672705314,"AfriSentiClassification":0.39398724999999996,"PAC":0.673994,"VoyageMMarcoReranking":0.5479,"GreekLegalCodeClassification":0.215088,"KurdishSentimentClassification":0.575793,"Robust04InstructionRetrieval":-0.061661,"TERRa":0.5375,"indonli":0.48647,"SpartQA":0.67343,"SentimentAnalysisHindi":0.504171,"ItaCaseholdClassification":0.556561,"OdiaNewsClassification":0.438741,"MasakhaNEWSClassification":0.6533041875,"FinancialPhrasebankClassification":0.675663,"ArXivHierarchicalClusteringP2P":0.571886,"CLSClusteringP2P.v2":0.384987,"CTKFactsNLI":0.7058795,"JSICK":0.792533,"STSB":0.7463394999999999,"FloresBitextMining":0.2605092340142954,"MacedonianTweetSentimentClassification":0.442932,"TweetTopicSingleClassification":0.668222,"SIB200ClusteringS2S":0.2294367157360406,"HALClusteringS2S.v2":0.263365,"BulgarianStoreReviewSentimentClassfication":0.471978,"CzechProductReviewSentimentClassification":0.471777,"PawsXPairClassification":0.5702402857142858,"FilipinoShopeeReviewsClassification":0.253125,"SemRel24STS":0.5919308333333334,"BigPatentClustering.v2":0.343237,"ArXivHierarchicalClusteringS2S":0.553207,"AILAStatutes":0.28953,"MultiHateClassification":0.5771818181818182,"MasakhaNEWSClusteringS2S":0.41282993749999997,"DalajClassification":0.496059,"T2Reranking":0.6734,"WebLINXCandidatesReranking":0.0967015,"KorSarcasmClassification":0.536719,"NusaX-senti":0.5893958333333333,"StackExchangeClustering.v2":0.556571,"Tatoeba":0.38822183035714286,"PolEmo2.0-OUT":0.190081,"RomaniBibleClustering":0.401863,"STS22.v2":0.6807472777777778,"PoemSentimentClassification":0.490018,"IndicGenBenchFloresBitextMining":0.4455151551724138},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SpartQA","StatcanDialogueDatasetRetrieval","TempReasonL1","WinoGrande"],"experiments":null},{"rank":89,"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":{"Classification":0.5256509538738963,"Clustering":0.4038497202739757,"PairClassification":0.752919882034632,"Reranking":0.58483040625,"Retrieval":0.4807583383355312,"InstructionReranking":-0.02962833333333333,"BitextMining":0.5407504625604654,"MultilabelClassification":0.17331323478260868},"scoresByTask":{"ScalaClassification":0.50196525,"IndonesianIdClickbaitClassification":0.569187,"SICK-R":0.684656,"SCIDOCS":0.1738,"PunjabiNewsClassification":0.852229,"AlloProfClusteringS2S.v2":0.320985,"SlovakMovieReviewSentimentClassification":0.592139,"WikipediaRerankingMultilingual":0.8391969375,"NTREXBitextMining":0.5773077682672234,"NusaParagraphEmotionClassification":0.3182383,"MassiveIntentClassification":0.46353235294117645,"STS13":0.756399,"CyrillicTurkicLangClassification":0.530176,"CSFDSKMovieReviewSentimentClassification":0.235596,"XNLI":0.642370642857143,"CEDRClassification":0.342136,"WinoGrande":0.60524,"IN22GenBitextMining":0.41748562450592885,"NusaTranslationBitextMining":0.5857551818181818,"TwitterURLCorpus":0.856694,"PpcPC":0.833628,"TwitterHjerneRetrieval":0.17061,"MalteseNewsClassification":0.220026,"STS12":0.747362,"LEMBPasskeyRetrieval":0.28250000000000003,"BUCC.v2":0.9762945,"SwahiliNewsClassification":0.603467,"BiorxivClusteringP2P.v2":0.376204,"STS14":0.731976,"BornholmBitextMining":0.38556,"FaroeseSTS":0.631735,"WikiCitiesClustering":0.696539,"NusaXBitextMining":0.3961019090909091,"STSBenchmark":0.769844,"StackOverflowQA":0.66576,"MultiEURLEXMultilabelClassification":0.03757217391304348,"NorwegianCourtsBitextMining":0.913743,"PlscClusteringP2P.v2":0.698956,"ToxicConversationsClassification":0.603809,"BrazilianToxicTweetsClassification":0.187451,"IndicLangClassification":0.349865,"News21InstructionRetrieval":0.008519,"GujaratiNewsClassification":0.797117,"SiswatiNewsClassification":0.50375,"NollySentiBitextMining":0.3262755,"STS15":0.850551,"TempReasonL1":0.00709,"MedrxivClusteringP2P.v2":0.353212,"TRECCOVID":0.62815,"NepaliNewsClassification":0.9354,"ArmenianParaphrasePC":0.935202,"AmazonCounterfactualClassification":0.708863,"KorHateSpeechMLClassification":0.079381,"BelebeleRetrieval":0.5511563031914893,"AlloprofReranking":0.697056,"NordicLangClassification":0.416833,"StatcanDialogueDatasetRetrieval":0.2749925,"RuBQReranking":0.666716,"STSES":0.779058,"WikiClusteringP2P.v2":0.2614299285714286,"FinParaSTS":0.131042,"OpusparcusPC":0.9048879166666667,"CataloniaTweetClassification":0.45460225,"GermanSTSBenchmark":0.7810805000000001,"SwissJudgementClassification":0.5411166666666667,"MLQARetrieval":0.6047348979591837,"SwednClusteringP2P":0.289033,"DBpediaClassification":0.883887,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.244969,"WikipediaRetrievalMultilingual":0.8187675,"ArguAna":0.51663,"MIRACLRetrievalHardNegatives":0.5724788888888889,"IsiZuluNewsClassification":0.20625,"DiaBlaBitextMining":0.819472,"LegalBenchCorporateLobbying":0.89439,"EstonianValenceClassification":0.325428,"SinhalaNewsClassification":0.713525,"SprintDuplicateQuestions":0.940777,"CovidRetrieval":0.59721,"IndicCrosslingualSTS":0.26927358333333334,"Core17InstructionRetrieval":-0.010512,"RTE3":0.862438,"BibleNLPBitextMining":0.06418643357487923,"AfriSentiClassification":0.3825191666666667,"PAC":0.670518,"VoyageMMarcoReranking":0.536479,"GreekLegalCodeClassification":0.1730225,"KurdishSentimentClassification":0.598641,"Robust04InstructionRetrieval":-0.086892,"TERRa":0.55541,"indonli":0.486673,"SpartQA":0.08652,"SentimentAnalysisHindi":0.504478,"ItaCaseholdClassification":0.633484,"OdiaNewsClassification":0.720366,"MasakhaNEWSClassification":0.6537025,"FinancialPhrasebankClassification":0.708657,"ArXivHierarchicalClusteringP2P":0.550976,"CLSClusteringP2P.v2":0.375462,"CTKFactsNLI":0.715978,"JSICK":0.772935,"STSB":0.7465175,"FloresBitextMining":0.3365313949821308,"MacedonianTweetSentimentClassification":0.505882,"TweetTopicSingleClassification":0.691199,"SIB200ClusteringS2S":0.22542172081218276,"HALClusteringS2S.v2":0.22844,"BulgarianStoreReviewSentimentClassfication":0.426374,"CzechProductReviewSentimentClassification":0.471484,"PawsXPairClassification":0.5480601428571429,"FilipinoShopeeReviewsClassification":0.277295,"SemRel24STS":0.5861606666666667,"BigPatentClustering.v2":0.251953,"ArXivHierarchicalClusteringS2S":0.527251,"AILAStatutes":0.21668,"MultiHateClassification":0.5854363636363636,"MasakhaNEWSClusteringS2S":0.38650687499999997,"DalajClassification":0.501914,"T2Reranking":0.671168,"WebLINXCandidatesReranking":0.09836650000000001,"KorSarcasmClassification":0.5354,"NusaX-senti":0.5877916666666666,"StackExchangeClustering.v2":0.526249,"Tatoeba":0.49326633035714285,"PolEmo2.0-OUT":0.179352,"RomaniBibleClustering":0.392977,"STS22.v2":0.6656946666666667,"PoemSentimentClassification":0.44353,"IndicGenBenchFloresBitextMining":0.7377763706896552},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":90,"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":0.4664317170667399,"meanTaskType":0.4031620683446241,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6186857183940452,"Classification":0.497994665402693,"Clustering":0.3978731495352074,"PairClassification":0.7391972410110598,"Reranking":0.48758673219272847,"Retrieval":0.40057037356165875,"InstructionReranking":-0.009935666666666667,"BitextMining":0.338032582477094,"MultilabelClassification":0.15845381919379714},"scoresByTask":{"ScalaClassification":0.50145263671875,"IndonesianIdClickbaitClassification":0.5763510434742589,"SICK-R":0.7915895517070431,"SCIDOCS":0.20498,"PunjabiNewsClassification":0.5847133757961782,"AlloProfClusteringS2S.v2":0.36430317719442706,"SlovakMovieReviewSentimentClassification":0.571337890625,"WikipediaRerankingMultilingual":0.7815410218253969,"NTREXBitextMining":0.3059202295189208,"NusaParagraphEmotionClassification":0.29970004035956954,"MassiveIntentClassification":0.32698835334444126,"STS13":0.8098029517065778,"CyrillicTurkicLangClassification":0.6673828125,"CSFDSKMovieReviewSentimentClassification":0.224853515625,"XNLI":0.6325639399891537,"CEDRClassification":0.3554729011689692,"WinoGrande":0.51524,"IN22GenBitextMining":0.10081238926847709,"NusaTranslationBitextMining":0.742481102905753,"TwitterURLCorpus":0.8644115834976902,"PpcPC":0.8434597318929373,"TwitterHjerneRetrieval":0.08533,"MalteseNewsClassification":0.2028297779712669,"STS12":0.7355323398454772,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.37228691252480717,"SwahiliNewsClassification":0.548291015625,"BiorxivClusteringP2P.v2":0.397176428189129,"STS14":0.7915977416467089,"BornholmBitextMining":0.4086200501253132,"FaroeseSTS":0.6743254226313018,"WikiCitiesClustering":0.7794842077596872,"NusaXBitextMining":0.3677943958440304,"STSBenchmark":0.845488080918384,"StackOverflowQA":0.89929,"MultiEURLEXMultilabelClassification":0.03031478260869565,"NorwegianCourtsBitextMining":0.9247076023391813,"PlscClusteringP2P.v2":0.6748297906473474,"ToxicConversationsClassification":0.63291015625,"BrazilianToxicTweetsClassification":0.16923828125,"IndicLangClassification":0.5305871523440068,"News21InstructionRetrieval":0.008256,"GujaratiNewsClassification":0.4393778452200303,"SiswatiNewsClassification":0.45625,"STS17":0.4805269026236347,"NollySentiBitextMining":0.32946723608055783,"STS15":0.8829499706388189,"TempReasonL1":0.01766,"MedrxivClusteringP2P.v2":0.35215934606100385,"TRECCOVID":0.66636,"NepaliNewsClassification":0.577197265625,"ArmenianParaphrasePC":0.8994534284452317,"AmazonCounterfactualClassification":0.6843723383370051,"KorHateSpeechMLClassification":0.034413352970054004,"BelebeleRetrieval":0.33899255319148935,"AlloprofReranking":0.6512298546739727,"NordicLangClassification":0.5982333333333333,"StatcanDialogueDatasetRetrieval":0.169745,"RuBQReranking":0.47835819736633195,"STSES":0.7983558551679866,"WikiClusteringP2P.v2":0.24508830475406398,"FinParaSTS":0.1598819811188566,"OpusparcusPC":0.886554958693908,"CataloniaTweetClassification":0.4826892218461338,"GermanSTSBenchmark":0.7332000953653802,"SwissJudgementClassification":0.5472491084256978,"MLQARetrieval":0.26141479591836736,"SwednClusteringP2P":0.27235051619916784,"DBpediaClassification":0.894482421875,"HagridRetrieval":0.9897,"TswanaNewsClassification":0.2753593429158111,"WikipediaRetrievalMultilingual":0.655714375,"ArguAna":0.46427,"MIRACLRetrievalHardNegatives":0.16577,"IsiZuluNewsClassification":0.2458776595744681,"DiaBlaBitextMining":0.39953428281580033,"LegalBenchCorporateLobbying":0.91495,"EstonianValenceClassification":0.29877750611246945,"SinhalaNewsClassification":0.394189453125,"SprintDuplicateQuestions":0.9483551821336549,"CovidRetrieval":0.19586,"IndicCrosslingualSTS":0.030581112879233523,"Core17InstructionRetrieval":0.001202,"RTE3":0.8659173340350785,"BibleNLPBitextMining":0.029977187374976927,"AfriSentiClassification":0.395473778934667,"PAC":0.6978858963220388,"VoyageMMarcoReranking":0.3359718048254007,"GreekLegalCodeClassification":0.088818359375,"KurdishSentimentClassification":0.6196779063915451,"Robust04InstructionRetrieval":-0.039265,"TERRa":0.4726599208656485,"indonli":0.4779619471930659,"SpartQA":0.10366,"SentimentAnalysisHindi":0.40646204657224294,"ItaCaseholdClassification":0.6402714932126696,"OdiaNewsClassification":0.5531021677562264,"MasakhaNEWSClassification":0.6402243213223816,"FinancialPhrasebankClassification":0.8310512367491165,"ArXivHierarchicalClusteringP2P":0.5778481103327435,"CLSClusteringP2P.v2":0.20543630905378962,"CTKFactsNLI":0.7152161748013304,"JSICK":0.7188885428127878,"STSB":0.4335341654060719,"FloresBitextMining":0.21461774527169472,"MacedonianTweetSentimentClassification":0.41273046532045654,"TweetTopicSingleClassification":0.679799173065564,"SIB200ClusteringS2S":0.0966691150628817,"HALClusteringS2S.v2":0.2493391144392299,"BulgarianStoreReviewSentimentClassfication":0.3873626373626374,"CzechProductReviewSentimentClassification":0.455419921875,"PawsXPairClassification":0.5246154495739586,"FilipinoShopeeReviewsClassification":0.31389160156249996,"SemRel24STS":0.4428938898030304,"BigPatentClustering.v2":0.330628917629176,"ArXivHierarchicalClusteringS2S":0.5510124770152588,"AILAStatutes":0.17633,"MultiHateClassification":0.5612363636363636,"MasakhaNEWSClusteringS2S":0.36526732022209063,"DalajClassification":0.49988738738738736,"T2Reranking":0.5961411800579169,"WebLINXCandidatesReranking":0.08227833440735166,"KorSarcasmClassification":0.534033203125,"NusaX-senti":0.5969166666666667,"StackExchangeClustering.v2":0.5207408773855098,"Tatoeba":0.11685703317510766,"PolEmo2.0-OUT":0.23279352226720648,"RomaniBibleClustering":0.3836363806178126,"STS22.v2":0.5698228900334296,"PoemSentimentClassification":0.5081089743589744,"IndicGenBenchFloresBitextMining":0.08134740495760161},"scoresByCustomGroup":{},"trainedOnTasks":[],"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":{"Classification":0.4817648765768147,"Clustering":0.4238956193799855,"PairClassification":0.7228269435699051,"Reranking":0.47084975656398637,"Retrieval":0.4040804898401441,"InstructionReranking":-0.018138333333333333,"BitextMining":0.2563830596620627,"MultilabelClassification":0.17541697847802984},"scoresByTask":{"ScalaClassification":0.49962175,"IndonesianIdClickbaitClassification":0.562554,"SICK-R":0.8279782085421951,"SCIDOCS":0.24062,"PunjabiNewsClassification":0.600637,"AlloProfClusteringS2S.v2":0.385759,"SlovakMovieReviewSentimentClassification":0.568896,"WikipediaRerankingMultilingual":0.73071925,"NTREXBitextMining":0.209861878914405,"NusaParagraphEmotionClassification":0.2818706,"MassiveIntentClassification":0.29311533333333334,"STS13":0.8928563503553643,"CyrillicTurkicLangClassification":0.638818,"CSFDSKMovieReviewSentimentClassification":0.21665,"XNLI":0.6044603928571428,"CEDRClassification":0.34006376195536664,"WinoGrande":0.39069,"IN22GenBitextMining":0.06395044466403162,"NusaTranslationBitextMining":0.5669556363636364,"TwitterURLCorpus":0.8596137364694969,"PpcPC":0.678696,"TwitterHjerneRetrieval":0.15063,"MalteseNewsClassification":0.244232,"STS12":0.7712670500926937,"LEMBPasskeyRetrieval":0.375,"BUCC.v2":0.25601375000000004,"SwahiliNewsClassification":0.532422,"BiorxivClusteringP2P.v2":0.423635,"STS14":0.838288465070091,"BornholmBitextMining":0.293937,"FaroeseSTS":0.637884,"WikiCitiesClustering":0.868131,"NusaXBitextMining":0.27719563636363637,"STSBenchmark":0.8830389489193672,"StackOverflowQA":0.82187,"MultiEURLEXMultilabelClassification":0.03021913043478261,"NorwegianCourtsBitextMining":0.878216,"PlscClusteringP2P.v2":0.695568,"ToxicConversationsClassification":0.718624,"BrazilianToxicTweetsClassification":0.213135,"IndicLangClassification":0.444733,"News21InstructionRetrieval":0.003028,"GujaratiNewsClassification":0.437557,"SiswatiNewsClassification":0.53875,"NollySentiBitextMining":0.28759,"STS15":0.8969728364350713,"TempReasonL1":0.01479,"MedrxivClusteringP2P.v2":0.379457,"TRECCOVID":0.69127,"NepaliNewsClassification":0.455566,"ArmenianParaphrasePC":0.88522,"AmazonCounterfactualClassification":0.656646875,"KorHateSpeechMLClassification":0.049435,"BelebeleRetrieval":0.31116768617021273,"AlloprofReranking":0.689988,"NordicLangClassification":0.548067,"StatcanDialogueDatasetRetrieval":0.26048499999999997,"RuBQReranking":0.39896478938391794,"STSES":0.747522,"WikiClusteringP2P.v2":0.2618872857142857,"FinParaSTS":0.103363,"OpusparcusPC":0.8700013333333333,"CataloniaTweetClassification":0.48598125,"GermanSTSBenchmark":0.678534,"SwissJudgementClassification":0.5403566666666667,"MLQARetrieval":0.23013571428571428,"SwednClusteringP2P":0.323764,"DBpediaClassification":0.829248,"HagridRetrieval":0.98847,"TswanaNewsClassification":0.26386,"WikipediaRetrievalMultilingual":0.55350875,"ArguAna":0.6338,"MIRACLRetrievalHardNegatives":0.14544166666666666,"IsiZuluNewsClassification":0.256383,"DiaBlaBitextMining":0.219444,"LegalBenchCorporateLobbying":0.93046,"EstonianValenceClassification":0.290465,"SinhalaNewsClassification":0.369727,"SprintDuplicateQuestions":0.9654495433438355,"CovidRetrieval":0.18505,"IndicCrosslingualSTS":-0.0014881666666666654,"Core17InstructionRetrieval":-0.005703,"RTE3":0.87061025,"BibleNLPBitextMining":0.01814597644927536,"AfriSentiClassification":0.38205941666666665,"PAC":0.576803,"VoyageMMarcoReranking":0.29841,"GreekLegalCodeClassification":0.0535645,"KurdishSentimentClassification":0.584097,"Robust04InstructionRetrieval":-0.05174,"TERRa":0.479840337550861,"indonli":0.480458,"SpartQA":0.04704,"SentimentAnalysisHindi":0.380441,"ItaCaseholdClassification":0.745701,"OdiaNewsClassification":0.472631,"MasakhaNEWSClassification":0.6489504375,"FinancialPhrasebankClassification":0.808922,"ArXivHierarchicalClusteringP2P":0.597983,"CLSClusteringP2P.v2":0.199926,"CTKFactsNLI":0.7109965,"JSICK":0.636089,"STSB":0.46327050000000003,"FloresBitextMining":0.14747427243311118,"MacedonianTweetSentimentClassification":0.372783,"TweetTopicSingleClassification":0.730774,"SIB200ClusteringS2S":0.12336862436548224,"HALClusteringS2S.v2":0.25373,"BulgarianStoreReviewSentimentClassfication":0.345604,"CzechProductReviewSentimentClassification":0.433057,"PawsXPairClassification":0.5457502857142857,"FilipinoShopeeReviewsClassification":0.294092,"SemRel24STS":0.41812658333333336,"BigPatentClustering.v2":0.30568,"ArXivHierarchicalClusteringS2S":0.589655,"AILAStatutes":0.30302,"MultiHateClassification":0.5525363636363636,"MasakhaNEWSClusteringS2S":0.40036700000000003,"DalajClassification":0.496284,"T2Reranking":0.619902,"WebLINXCandidatesReranking":0.0871145,"KorSarcasmClassification":0.524414,"NusaX-senti":0.5424375,"StackExchangeClustering.v2":0.604036,"Tatoeba":0.07210173214285713,"PolEmo2.0-OUT":0.218623,"RomaniBibleClustering":0.369383,"STS22.v2":0.5370507777777778,"PoemSentimentClassification":0.521566,"IndicGenBenchFloresBitextMining":0.04209344827586207},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":92,"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":{"Classification":0.49385073907163285,"Clustering":0.4080551280026287,"PairClassification":0.7166100349346002,"Reranking":0.46007849305555554,"Retrieval":0.37045466730023374,"InstructionReranking":-0.032455333333333336,"BitextMining":0.2836856979438745,"MultilabelClassification":0.17799928695652173},"scoresByTask":{"ScalaClassification":0.500281,"IndonesianIdClickbaitClassification":0.571899,"SICK-R":0.785797159641342,"SCIDOCS":0.18292999999999998,"PunjabiNewsClassification":0.60828,"AlloProfClusteringS2S.v2":0.337397,"SlovakMovieReviewSentimentClassification":0.56543,"WikipediaRerankingMultilingual":0.755717125,"NTREXBitextMining":0.23033251356993736,"NusaParagraphEmotionClassification":0.2838405,"MassiveIntentClassification":0.2947107156862745,"STS13":0.8540429140249618,"CyrillicTurkicLangClassification":0.668994,"CSFDSKMovieReviewSentimentClassification":0.233789,"XNLI":0.5888143571428571,"CEDRClassification":0.349575,"WinoGrande":0.44564,"IN22GenBitextMining":0.07338121739130435,"NusaTranslationBitextMining":0.7169128181818182,"TwitterURLCorpus":0.8671257651501476,"PpcPC":0.683407,"TwitterHjerneRetrieval":0.13513,"MalteseNewsClassification":0.258032,"STS12":0.7891631735081286,"LEMBPasskeyRetrieval":0.2425,"BUCC.v2":0.2025795,"SwahiliNewsClassification":0.519531,"BiorxivClusteringP2P.v2":0.414831,"STS14":0.8164101363896585,"BornholmBitextMining":0.484076,"FaroeseSTS":0.679035,"WikiCitiesClustering":0.843349,"NusaXBitextMining":0.33362827272727275,"STSBenchmark":0.8554302197678367,"StackOverflowQA":0.70958,"MultiEURLEXMultilabelClassification":0.027250434782608694,"NorwegianCourtsBitextMining":0.931287,"PlscClusteringP2P.v2":0.668944,"ToxicConversationsClassification":0.7149519999999999,"BrazilianToxicTweetsClassification":0.198242,"IndicLangClassification":0.480531,"News21InstructionRetrieval":0.035617,"GujaratiNewsClassification":0.417451,"SiswatiNewsClassification":0.5075,"NollySentiBitextMining":0.3102905,"STS15":0.8720408521902229,"TempReasonL1":0.01588,"MedrxivClusteringP2P.v2":0.370082,"TRECCOVID":0.79923,"NepaliNewsClassification":0.589209,"ArmenianParaphrasePC":0.888397,"AmazonCounterfactualClassification":0.662815,"KorHateSpeechMLClassification":0.056897,"BelebeleRetrieval":0.285230744680851,"AlloprofReranking":0.624713,"NordicLangClassification":0.5266,"StatcanDialogueDatasetRetrieval":0.14597,"RuBQReranking":0.341278,"STSES":0.710022,"WikiClusteringP2P.v2":0.2482217142857143,"FinParaSTS":0.1525125,"OpusparcusPC":0.88391725,"CataloniaTweetClassification":0.4831105,"GermanSTSBenchmark":0.66786,"SwissJudgementClassification":0.556299,"MLQARetrieval":0.20725653061224492,"SwednClusteringP2P":0.296008,"DBpediaClassification":0.906104,"HagridRetrieval":0.98397,"TswanaNewsClassification":0.292608,"WikipediaRetrievalMultilingual":0.562760625,"ArguAna":0.49258,"MIRACLRetrievalHardNegatives":0.12040611111111112,"IsiZuluNewsClassification":0.230053,"DiaBlaBitextMining":0.144487,"LegalBenchCorporateLobbying":0.92732,"EstonianValenceClassification":0.299144,"SinhalaNewsClassification":0.38208,"SprintDuplicateQuestions":0.9352081548447405,"CovidRetrieval":0.18656,"IndicCrosslingualSTS":0.10810833333333332,"Core17InstructionRetrieval":-0.02112,"RTE3":0.8560385,"BibleNLPBitextMining":0.017758039855072464,"AfriSentiClassification":0.38123916666666663,"PAC":0.691428,"VoyageMMarcoReranking":0.306209,"GreekLegalCodeClassification":0.0344485,"KurdishSentimentClassification":0.601258,"Robust04InstructionRetrieval":-0.111863,"TERRa":0.463235,"indonli":0.47783,"SpartQA":0.06269,"SentimentAnalysisHindi":0.396332,"ItaCaseholdClassification":0.628507,"OdiaNewsClassification":0.595406,"MasakhaNEWSClassification":0.654607625,"FinancialPhrasebankClassification":0.839797,"ArXivHierarchicalClusteringP2P":0.589489,"CLSClusteringP2P.v2":0.201377,"CTKFactsNLI":0.711081,"JSICK":0.705923,"STSB":0.4091395,"FloresBitextMining":0.14681142152033227,"MacedonianTweetSentimentClassification":0.357594,"TweetTopicSingleClassification":0.684997,"SIB200ClusteringS2S":0.08724858375634519,"HALClusteringS2S.v2":0.218551,"BulgarianStoreReviewSentimentClassfication":0.333516,"CzechProductReviewSentimentClassification":0.449268,"PawsXPairClassification":0.5276563571428571,"FilipinoShopeeReviewsClassification":0.29919450000000003,"SemRel24STS":0.4400753333333333,"BigPatentClustering.v2":0.347527,"ArXivHierarchicalClusteringS2S":0.549637,"AILAStatutes":0.16255,"MultiHateClassification":0.5591272727272728,"MasakhaNEWSClusteringS2S":0.38889675,"DalajClassification":0.497297,"T2Reranking":0.614295,"WebLINXCandidatesReranking":0.11825883333333333,"KorSarcasmClassification":0.54834,"NusaX-senti":0.5816875,"StackExchangeClustering.v2":0.585626,"Tatoeba":0.05830291071428571,"PolEmo2.0-OUT":0.22834,"RomaniBibleClustering":0.381697,"STS22.v2":0.5630708888888889,"PoemSentimentClassification":0.5779855,"IndicGenBenchFloresBitextMining":0.03806687931034483},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":93,"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":{"Classification":0.4923721584354143,"Clustering":0.4042484734182379,"PairClassification":0.7206613956442349,"Reranking":0.4503722465277778,"Retrieval":0.4074315386248077,"InstructionReranking":-0.03748633333333334,"BitextMining":0.28600806155188807,"MultilabelClassification":0.17355587826086957},"scoresByTask":{"ScalaClassification":0.5012449999999999,"IndonesianIdClickbaitClassification":0.565092,"SICK-R":0.773007421887329,"SCIDOCS":0.18696,"PunjabiNewsClassification":0.608917,"AlloProfClusteringS2S.v2":0.341265,"SlovakMovieReviewSentimentClassification":0.564551,"WikipediaRerankingMultilingual":0.7683898124999999,"NTREXBitextMining":0.23298176878914406,"NusaParagraphEmotionClassification":0.301789,"MassiveIntentClassification":0.3043326176470588,"STS13":0.7938801416063187,"CyrillicTurkicLangClassification":0.683594,"CSFDSKMovieReviewSentimentClassification":0.227686,"XNLI":0.6148959642857142,"CEDRClassification":0.343677,"WinoGrande":0.52473,"IN22GenBitextMining":0.07300070355731225,"NusaTranslationBitextMining":0.7014389090909091,"TwitterURLCorpus":0.8638437691024106,"PpcPC":0.684247,"TwitterHjerneRetrieval":0.30217,"MalteseNewsClassification":0.217675,"STS12":0.7797040896962337,"LEMBPasskeyRetrieval":0.3975,"BUCC.v2":0.2326735,"SwahiliNewsClassification":0.515674,"BiorxivClusteringP2P.v2":0.40559,"STS14":0.7817327332594571,"BornholmBitextMining":0.463676,"FaroeseSTS":0.64879,"WikiCitiesClustering":0.82077,"NusaXBitextMining":0.3359865454545454,"STSBenchmark":0.8341508337893958,"StackOverflowQA":0.73401,"MultiEURLEXMultilabelClassification":0.027837391304347824,"NorwegianCourtsBitextMining":0.931287,"PlscClusteringP2P.v2":0.662988,"ToxicConversationsClassification":0.7138599999999999,"BrazilianToxicTweetsClassification":0.228467,"IndicLangClassification":0.491495,"News21InstructionRetrieval":-0.004937,"GujaratiNewsClassification":0.407284,"SiswatiNewsClassification":0.5775,"NollySentiBitextMining":0.31046875,"STS15":0.8550877410088334,"TempReasonL1":0.01273,"MedrxivClusteringP2P.v2":0.36204,"TRECCOVID":0.82312,"NepaliNewsClassification":0.542725,"ArmenianParaphrasePC":0.892125,"AmazonCounterfactualClassification":0.683723125,"KorHateSpeechMLClassification":0.050123,"BelebeleRetrieval":0.29846502659574464,"AlloprofReranking":0.577175,"NordicLangClassification":0.5347,"StatcanDialogueDatasetRetrieval":0.1523475,"RuBQReranking":0.310896,"STSES":0.727611,"WikiClusteringP2P.v2":0.2473937142857143,"FinParaSTS":0.2257305,"OpusparcusPC":0.8796750000000001,"CataloniaTweetClassification":0.4698045,"GermanSTSBenchmark":0.6319175,"SwissJudgementClassification":0.5598106666666666,"MLQARetrieval":0.21439857142857144,"SwednClusteringP2P":0.2915895,"DBpediaClassification":0.905566,"HagridRetrieval":0.98843,"TswanaNewsClassification":0.317248,"WikipediaRetrievalMultilingual":0.612604375,"ArguAna":0.54662,"MIRACLRetrievalHardNegatives":0.15902222222222223,"IsiZuluNewsClassification":0.234176,"DiaBlaBitextMining":0.154934,"LegalBenchCorporateLobbying":0.92352,"EstonianValenceClassification":0.301589,"SinhalaNewsClassification":0.369238,"SprintDuplicateQuestions":0.9484210829841738,"CovidRetrieval":0.21562,"IndicCrosslingualSTS":0.06040475,"Core17InstructionRetrieval":-0.016459,"RTE3":0.85868725,"BibleNLPBitextMining":0.020590885869565215,"AfriSentiClassification":0.38598316666666665,"PAC":0.642224,"VoyageMMarcoReranking":0.320481,"GreekLegalCodeClassification":0.041528499999999996,"KurdishSentimentClassification":0.601359,"Robust04InstructionRetrieval":-0.091063,"TERRa":0.477198,"indonli":0.478709,"SpartQA":0.05854,"SentimentAnalysisHindi":0.397151,"ItaCaseholdClassification":0.628959,"OdiaNewsClassification":0.583063,"MasakhaNEWSClassification":0.6488463125,"FinancialPhrasebankClassification":0.834452,"ArXivHierarchicalClusteringP2P":0.579034,"CLSClusteringP2P.v2":0.195557,"CTKFactsNLI":0.712361,"JSICK":0.676739,"STSB":0.4268825,"FloresBitextMining":0.15006208070124602,"MacedonianTweetSentimentClassification":0.357155,"TweetTopicSingleClassification":0.613585,"SIB200ClusteringS2S":0.08595436040609136,"HALClusteringS2S.v2":0.214091,"BulgarianStoreReviewSentimentClassfication":0.336264,"CzechProductReviewSentimentClassification":0.454199,"PawsXPairClassification":0.5171122857142857,"FilipinoShopeeReviewsClassification":0.29892549999999996,"SemRel24STS":0.4361584166666667,"BigPatentClustering.v2":0.35883,"ArXivHierarchicalClusteringS2S":0.551111,"AILAStatutes":0.18298,"MultiHateClassification":0.5580090909090909,"MasakhaNEWSClusteringS2S":0.384685,"DalajClassification":0.500788,"T2Reranking":0.596264,"WebLINXCandidatesReranking":0.12902766666666668,"KorSarcasmClassification":0.538672,"NusaX-senti":0.5761458333333334,"StackExchangeClustering.v2":0.576426,"Tatoeba":0.06885329464285714,"PolEmo2.0-OUT":0.245749,"RomaniBibleClustering":0.390651,"STS22.v2":0.5676061111111111,"PoemSentimentClassification":0.5473445,"IndicGenBenchFloresBitextMining":0.04215136206896552},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":94,"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":0.37953906535687537,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.594908398989899,"Classification":0.5205430897194658,"Clustering":0.4291880065179705,"PairClassification":0.7341457445887446,"Reranking":0.39815587152777776,"Retrieval":0.33333432577877486,"InstructionReranking":-0.033869666666666666,"BitextMining":0.2686097568863474,"MultilabelClassification":0.1708360608695652},"scoresByTask":{"ScalaClassification":0.50051275,"IndonesianIdClickbaitClassification":0.580328,"SICK-R":0.81401,"SCIDOCS":0.04885,"PunjabiNewsClassification":0.644586,"AlloProfClusteringS2S.v2":0.399959,"SlovakMovieReviewSentimentClassification":0.574756,"WikipediaRerankingMultilingual":0.6878935625,"NTREXBitextMining":0.262903262526096,"NusaParagraphEmotionClassification":0.3198081,"MassiveIntentClassification":0.37971904901960785,"STS13":0.849162,"CyrillicTurkicLangClassification":0.605518,"CSFDSKMovieReviewSentimentClassification":0.224512,"XNLI":0.6010672499999999,"CEDRClassification":0.362168,"WinoGrande":0.1588,"IN22GenBitextMining":0.10786644071146245,"NusaTranslationBitextMining":0.5656586363636363,"TwitterURLCorpus":0.840576,"PpcPC":0.782603,"TwitterHjerneRetrieval":0.2443,"MalteseNewsClassification":0.214715,"STS12":0.807987,"LEMBPasskeyRetrieval":0.36,"BUCC.v2":0.30307925,"SwahiliNewsClassification":0.58042,"BiorxivClusteringP2P.v2":0.432663,"STS14":0.816616,"BornholmBitextMining":0.279458,"FaroeseSTS":0.664214,"WikiCitiesClustering":0.846638,"NusaXBitextMining":0.2769140909090909,"STSBenchmark":0.853376,"StackOverflowQA":0.7851,"MultiEURLEXMultilabelClassification":0.03223130434782608,"NorwegianCourtsBitextMining":0.893275,"PlscClusteringP2P.v2":0.69305,"ToxicConversationsClassification":0.663135,"BrazilianToxicTweetsClassification":0.199902,"IndicLangClassification":0.71606,"News21InstructionRetrieval":0.001837,"GujaratiNewsClassification":0.542413,"SiswatiNewsClassification":0.72,"STS17":0.47970827272727273,"NollySentiBitextMining":0.28893875,"STS15":0.857166,"TempReasonL1":0.01007,"MedrxivClusteringP2P.v2":0.385244,"TRECCOVID":0.38976,"NepaliNewsClassification":0.670654,"ArmenianParaphrasePC":0.898447,"AmazonCounterfactualClassification":0.65047075,"KorHateSpeechMLClassification":0.045164,"BelebeleRetrieval":0.28515933510638297,"AlloprofReranking":0.617739,"NordicLangClassification":0.567533,"StatcanDialogueDatasetRetrieval":0.22466250000000001,"RuBQReranking":0.210757,"STSES":0.756386,"WikiClusteringP2P.v2":0.25932385714285716,"FinParaSTS":0.08356050000000001,"OpusparcusPC":0.8666230833333333,"CataloniaTweetClassification":0.489771,"GermanSTSBenchmark":0.646012,"SwissJudgementClassification":0.563249,"MLQARetrieval":0.21341061224489796,"SwednClusteringP2P":0.39291149999999997,"DBpediaClassification":0.849023,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.28768,"WikipediaRetrievalMultilingual":0.44489875,"ArguAna":0.62739,"MIRACLRetrievalHardNegatives":0.052366666666666666,"IsiZuluNewsClassification":0.253059,"DiaBlaBitextMining":0.132382,"LegalBenchCorporateLobbying":0.91588,"EstonianValenceClassification":0.308068,"SinhalaNewsClassification":0.439893,"SprintDuplicateQuestions":0.96537,"CovidRetrieval":0.00533,"IndicCrosslingualSTS":0.047044,"Core17InstructionRetrieval":-0.020966,"RTE3":0.8850560000000001,"BibleNLPBitextMining":0.01690312620772947,"AfriSentiClassification":0.40454433333333334,"PAC":0.6376773819866782,"VoyageMMarcoReranking":0.207103,"GreekLegalCodeClassification":0.064551,"KurdishSentimentClassification":0.595924,"Robust04InstructionRetrieval":-0.08248,"TERRa":0.495896,"indonli":0.505233,"SpartQA":0.05459,"SentimentAnalysisHindi":0.356106,"ItaCaseholdClassification":0.850226,"OdiaNewsClassification":0.599512,"MasakhaNEWSClassification":0.6641091875,"FinancialPhrasebankClassification":0.798675,"ArXivHierarchicalClusteringP2P":0.598724,"CLSClusteringP2P.v2":0.219221,"CTKFactsNLI":0.7057074999999999,"JSICK":0.549916,"STSB":0.377826,"FloresBitextMining":0.19138576125277698,"MacedonianTweetSentimentClassification":0.349693,"TweetTopicSingleClassification":0.740343,"SIB200ClusteringS2S":0.12751430964467003,"HALClusteringS2S.v2":0.259577,"BulgarianStoreReviewSentimentClassfication":0.327473,"CzechProductReviewSentimentClassification":0.428809,"PawsXPairClassification":0.5290243571428571,"FilipinoShopeeReviewsClassification":0.2912845,"SemRel24STS":0.3676878333333333,"BigPatentClustering.v2":0.297858,"ArXivHierarchicalClusteringS2S":0.576432,"AILAStatutes":0.19251,"MultiHateClassification":0.5682454545454546,"MasakhaNEWSClusteringS2S":0.4102114375,"DalajClassification":0.500788,"T2Reranking":0.579495,"WebLINXCandidatesReranking":0.08594766666666666,"KorSarcasmClassification":0.537109,"NusaX-senti":0.5765208333333334,"StackExchangeClustering.v2":0.594283,"Tatoeba":0.08757812499999999,"PolEmo2.0-OUT":0.4313765182186235,"RomaniBibleClustering":0.373398,"STS22.v2":0.5478627777777778,"PoemSentimentClassification":0.529217,"IndicGenBenchFloresBitextMining":0.08558439655172413},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":95,"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":0.48520745649609054,"meanTaskType":0.42383455904156303,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.7237207306383763,"Classification":0.510239193455416,"Clustering":0.32381886870014503,"PairClassification":0.7871038452380952,"Reranking":0.5000572916666667,"Retrieval":0.34655726123970076,"InstructionReranking":-0.019566,"BitextMining":0.4763174926095803,"MultilabelClassification":0.16626234782608695},"scoresByTask":{"ScalaClassification":0.5012695,"IndonesianIdClickbaitClassification":0.511754,"SICK-R":0.946525,"SCIDOCS":0.09396,"PunjabiNewsClassification":0.759873,"AlloProfClusteringS2S.v2":0.318401,"SlovakMovieReviewSentimentClassification":0.657129,"WikipediaRerankingMultilingual":0.78790425,"NTREXBitextMining":0.6186266790187891,"NusaParagraphEmotionClassification":0.1973376,"MassiveIntentClassification":0.5293405784313725,"STS13":0.977636,"CyrillicTurkicLangClassification":0.369287,"CSFDSKMovieReviewSentimentClassification":0.278662,"XNLI":0.7653651785714286,"CEDRClassification":0.387566,"WinoGrande":0.44382,"IN22GenBitextMining":0.5377320395256917,"NusaTranslationBitextMining":0.07072918181818182,"TwitterURLCorpus":0.850724,"PpcPC":0.929042,"TwitterHjerneRetrieval":0.40041,"MalteseNewsClassification":0.077667,"STS12":0.954619,"LEMBPasskeyRetrieval":0.1375,"BUCC.v2":0.984037,"SwahiliNewsClassification":0.525537,"BiorxivClusteringP2P.v2":0.213935,"STS14":0.975293,"BornholmBitextMining":0.192095,"FaroeseSTS":0.973917,"WikiCitiesClustering":0.391394,"NusaXBitextMining":0.05260790909090909,"STSBenchmark":0.009762486352335524,"StackOverflowQA":0.26012,"MultiEURLEXMultilabelClassification":0.030341739130434784,"NorwegianCourtsBitextMining":0.889912,"PlscClusteringP2P.v2":0.656563,"ToxicConversationsClassification":0.628027,"BrazilianToxicTweetsClassification":0.254736,"IndicLangClassification":0.224183,"News21InstructionRetrieval":0.006503,"GujaratiNewsClassification":0.744158,"SiswatiNewsClassification":0.71,"STS17":0.008798064972795824,"NollySentiBitextMining":0.25251325,"STS15":0.981124,"TempReasonL1":0.01135,"MedrxivClusteringP2P.v2":0.272966,"TRECCOVID":0.28936,"NepaliNewsClassification":0.863086,"ArmenianParaphrasePC":0.954796,"AmazonCounterfactualClassification":0.696718375,"KorHateSpeechMLClassification":0.081001,"BelebeleRetrieval":0.4575592553191489,"AlloprofReranking":0.605078,"NordicLangClassification":0.3767,"StatcanDialogueDatasetRetrieval":0.168235,"RuBQReranking":0.539317,"STSES":0.715904,"WikiClusteringP2P.v2":0.22765614285714286,"FinParaSTS":0.2697395,"OpusparcusPC":0.9468570833333333,"CataloniaTweetClassification":0.43221575,"GermanSTSBenchmark":0.9540905,"SwissJudgementClassification":0.5292793333333333,"MLQARetrieval":0.5195688775510204,"SwednClusteringP2P":0.2191565,"DBpediaClassification":0.734082,"HagridRetrieval":0.97581,"TswanaNewsClassification":0.176591,"WikipediaRetrievalMultilingual":0.677598125,"ArguAna":0.41501,"MIRACLRetrievalHardNegatives":0.14131944444444444,"IsiZuluNewsClassification":0.22141,"DiaBlaBitextMining":0.808321,"LegalBenchCorporateLobbying":0.76644,"EstonianValenceClassification":0.367482,"SinhalaNewsClassification":0.631445,"SprintDuplicateQuestions":0.915748,"CovidRetrieval":0.25289,"IndicCrosslingualSTS":0.8476556666666667,"Core17InstructionRetrieval":-0.044696,"RTE3":0.88218475,"BibleNLPBitextMining":0.057131394323671494,"AfriSentiClassification":0.40768316666666665,"PAC":0.643093,"VoyageMMarcoReranking":0.385681,"GreekLegalCodeClassification":0.3090575,"KurdishSentimentClassification":0.746553,"Robust04InstructionRetrieval":-0.020505,"TERRa":0.56872,"indonli":0.524363,"SpartQA":0.02701,"SentimentAnalysisHindi":0.559706,"ItaCaseholdClassification":0.553394,"OdiaNewsClassification":0.711787,"MasakhaNEWSClassification":0.5131755,"FinancialPhrasebankClassification":0.686882,"ArXivHierarchicalClusteringP2P":0.515432,"CLSClusteringP2P.v2":0.266401,"CTKFactsNLI":0.7814425,"JSICK":0.830754,"STSB":0.9198569999999999,"FloresBitextMining":0.33641576972858106,"MacedonianTweetSentimentClassification":0.589816,"TweetTopicSingleClassification":0.527939,"SIB200ClusteringS2S":0.13351575634517765,"HALClusteringS2S.v2":0.151333,"BulgarianStoreReviewSentimentClassfication":0.427473,"CzechProductReviewSentimentClassification":0.500146,"PawsXPairClassification":0.5388997857142857,"FilipinoShopeeReviewsClassification":0.26855450000000003,"SemRel24STS":0.5628870833333334,"BigPatentClustering.v2":0.219713,"ArXivHierarchicalClusteringS2S":0.49367,"AILAStatutes":0.20007,"MultiHateClassification":0.6031181818181818,"MasakhaNEWSClusteringS2S":0.3340725,"DalajClassification":0.498874,"T2Reranking":0.628741,"WebLINXCandidatesReranking":0.0536225,"KorSarcasmClassification":0.545459,"NusaX-senti":0.46439583333333334,"StackExchangeClustering.v2":0.397963,"Tatoeba":0.5947872321428571,"PolEmo2.0-OUT":0.22915,"RomaniBibleClustering":0.36893,"STS22.v2":0.6509693888888889,"PoemSentimentClassification":0.4884615,"IndicGenBenchFloresBitextMining":0.797218948275862},"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":96,"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":0.39055133965274474,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6014078166065417,"Classification":0.4801599031385298,"Clustering":0.414204579738028,"PairClassification":0.7203906037303329,"Reranking":0.4883970993061591,"Retrieval":0.38998102906400933,"InstructionReranking":-0.022854666666666665,"BitextMining":0.2665315389198349,"MultilabelClassification":0.17674415303793375},"scoresByTask":{"ScalaClassification":0.501025390625,"IndonesianIdClickbaitClassification":0.5825655189413274,"SICK-R":0.8168367384277421,"SCIDOCS":0.2263,"PunjabiNewsClassification":0.594904458598726,"AlloProfClusteringS2S.v2":0.39228808942727406,"SlovakMovieReviewSentimentClassification":0.560595703125,"WikipediaRerankingMultilingual":0.7375030257936508,"NTREXBitextMining":0.21935157709929262,"NusaParagraphEmotionClassification":0.2801824579147131,"MassiveIntentClassification":0.28162007779376613,"STS13":0.8637060444136577,"CyrillicTurkicLangClassification":0.6267578125,"CSFDSKMovieReviewSentimentClassification":0.21552734375,"XNLI":0.604696003464804,"CEDRClassification":0.3615302869287992,"WinoGrande":0.19183,"IN22GenBitextMining":0.04798617392287465,"NusaTranslationBitextMining":0.5933774881286132,"TwitterURLCorpus":0.8560075039899073,"PpcPC":0.6888377136354772,"TwitterHjerneRetrieval":0.14726,"MalteseNewsClassification":0.240096,"STS12":0.7904889235593613,"LEMBPasskeyRetrieval":0.3675,"BUCC.v2":0.2617676753906728,"SwahiliNewsClassification":0.531396484375,"BiorxivClusteringP2P.v2":0.4205574653405882,"STS14":0.8277810172031654,"BornholmBitextMining":0.3408574314574314,"FaroeseSTS":0.6458289770378548,"WikiCitiesClustering":0.8122951122099706,"NusaXBitextMining":0.27773529877602515,"STSBenchmark":0.875190636046235,"StackOverflowQA":0.83072,"MultiEURLEXMultilabelClassification":0.031063478260869564,"NorwegianCourtsBitextMining":0.9049707602339181,"PlscClusteringP2P.v2":0.6821459019779761,"ToxicConversationsClassification":0.66484375,"BrazilianToxicTweetsClassification":0.20459,"IndicLangClassification":0.3699454270497732,"News21InstructionRetrieval":0.003309,"GujaratiNewsClassification":0.4137329286798179,"SiswatiNewsClassification":0.5199999999999999,"STS17":0.44452043373002526,"NollySentiBitextMining":0.2881107183934921,"STS15":0.8802952704872573,"TempReasonL1":0.01459,"MedrxivClusteringP2P.v2":0.363124446086602,"TRECCOVID":0.74696,"NepaliNewsClassification":0.390625,"ArmenianParaphrasePC":0.8688638880277008,"AmazonCounterfactualClassification":0.6514257083912395,"KorHateSpeechMLClassification":0.046441,"BelebeleRetrieval":0.30672239361702125,"AlloprofReranking":0.6741453775649174,"NordicLangClassification":0.5506666666666666,"StatcanDialogueDatasetRetrieval":0.210055,"RuBQReranking":0.4766395487120344,"STSES":0.7743412903673891,"WikiClusteringP2P.v2":0.25497817529753936,"FinParaSTS":0.08827194610588233,"OpusparcusPC":0.8758947504675182,"CataloniaTweetClassification":0.478264279269786,"GermanSTSBenchmark":0.6719234776654263,"SwissJudgementClassification":0.5389150534944581,"MLQARetrieval":0.22989244897959185,"SwednClusteringP2P":0.3144923102972488,"DBpediaClassification":0.8166015625,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.26776180698151947,"WikipediaRetrievalMultilingual":0.590133125,"ArguAna":0.64516,"MIRACLRetrievalHardNegatives":0.18485555555555555,"IsiZuluNewsClassification":0.2579787234042553,"DiaBlaBitextMining":0.23913513941047662,"LegalBenchCorporateLobbying":0.90767,"EstonianValenceClassification":0.2933985330073349,"SinhalaNewsClassification":0.3904296875,"SprintDuplicateQuestions":0.9674942736590371,"CovidRetrieval":0.17176,"IndicCrosslingualSTS":0.038852702700658895,"Core17InstructionRetrieval":-0.01927,"RTE3":0.8708430233267807,"BibleNLPBitextMining":0.015163998684138823,"AfriSentiClassification":0.3831637563933368,"PAC":0.6087749782797568,"VoyageMMarcoReranking":0.3246532592589748,"GreekLegalCodeClassification":0.05537109375,"KurdishSentimentClassification":0.5841469552088576,"Robust04InstructionRetrieval":-0.052603,"TERRa":0.4755262351237274,"indonli":0.47951576509266935,"SpartQA":0.02993,"SentimentAnalysisHindi":0.36129668399806836,"ItaCaseholdClassification":0.7592760180995475,"OdiaNewsClassification":0.5503515914908438,"MasakhaNEWSClassification":0.6284163020128597,"FinancialPhrasebankClassification":0.8028710247349824,"ArXivHierarchicalClusteringP2P":0.6058357599909132,"CLSClusteringP2P.v2":0.18408571124333784,"CTKFactsNLI":0.7112882000885975,"JSICK":0.6420348141703155,"STSB":0.4152787527044174,"FloresBitextMining":0.1491365345498998,"MacedonianTweetSentimentClassification":0.37655838454784896,"TweetTopicSingleClassification":0.7190194920259894,"SIB200ClusteringS2S":0.10883082953571561,"HALClusteringS2S.v2":0.26196699206865165,"BulgarianStoreReviewSentimentClassfication":0.35439560439560436,"CzechProductReviewSentimentClassification":0.451123046875,"PawsXPairClassification":0.5253292841574425,"FilipinoShopeeReviewsClassification":0.2943359375,"SemRel24STS":0.3581120814755227,"BigPatentClustering.v2":0.2684193778905645,"ArXivHierarchicalClusteringS2S":0.5873767879927723,"AILAStatutes":0.23063,"MultiHateClassification":0.5600727272727273,"MasakhaNEWSClusteringS2S":0.39969681929197,"DalajClassification":0.49898648648648647,"T2Reranking":0.6306938175778142,"WebLINXCandidatesReranking":0.08674756692956341,"KorSarcasmClassification":0.530810546875,"NusaX-senti":0.5710625,"StackExchangeClustering.v2":0.5941857905540503,"Tatoeba":0.07506780932351168,"PolEmo2.0-OUT":0.24129554655870447,"RomaniBibleClustering":0.37699370660327347,"STS22.v2":0.4890619596097559,"PoemSentimentClassification":0.5363827838827839,"IndicGenBenchFloresBitextMining":0.05224940058750648},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":97,"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":{"Classification":0.48163624971448404,"Clustering":0.4062461210370966,"PairClassification":0.7347740621319452,"Reranking":0.44192500000000007,"Retrieval":0.3850392515532612,"InstructionReranking":-0.023270999999999997,"BitextMining":0.30560795020855164,"MultilabelClassification":0.16305965217391305},"scoresByTask":{"ScalaClassification":0.49993875,"IndonesianIdClickbaitClassification":0.560497,"SICK-R":0.8048508130408966,"SCIDOCS":0.20116999999999996,"PunjabiNewsClassification":0.592357,"AlloProfClusteringS2S.v2":0.390621,"SlovakMovieReviewSentimentClassification":0.568799,"WikipediaRerankingMultilingual":0.7507505,"NTREXBitextMining":0.26013129488517744,"NusaParagraphEmotionClassification":0.2980278,"MassiveIntentClassification":0.29222695098039214,"STS13":0.8522240034668203,"CyrillicTurkicLangClassification":0.570703,"CSFDSKMovieReviewSentimentClassification":0.224951,"XNLI":0.6112554285714286,"CEDRClassification":0.331509,"WinoGrande":0.50999,"IN22GenBitextMining":0.06463599011857707,"NusaTranslationBitextMining":0.6845511818181819,"TwitterURLCorpus":0.8631476416599727,"PpcPC":0.811887,"TwitterHjerneRetrieval":0.08658,"MalteseNewsClassification":0.247148,"STS12":0.7593057758003267,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.3243415,"SwahiliNewsClassification":0.501611,"BiorxivClusteringP2P.v2":0.392882,"STS14":0.8054074646118492,"BornholmBitextMining":0.40153,"FaroeseSTS":0.686149,"WikiCitiesClustering":0.850814,"NusaXBitextMining":0.3337747272727273,"STSBenchmark":0.8721366640615442,"StackOverflowQA":0.82847,"MultiEURLEXMultilabelClassification":0.030098260869565217,"NorwegianCourtsBitextMining":0.912281,"PlscClusteringP2P.v2":0.684753,"ToxicConversationsClassification":0.705592,"BrazilianToxicTweetsClassification":0.17915,"IndicLangClassification":0.465172,"News21InstructionRetrieval":-0.009401,"GujaratiNewsClassification":0.416388,"SiswatiNewsClassification":0.45375,"NollySentiBitextMining":0.29739275,"STS15":0.8881459873052109,"TempReasonL1":0.01739,"MedrxivClusteringP2P.v2":0.360874,"TRECCOVID":0.78317,"NepaliNewsClassification":0.509229,"ArmenianParaphrasePC":0.881363,"AmazonCounterfactualClassification":0.65604725,"KorHateSpeechMLClassification":0.027393,"BelebeleRetrieval":0.31265021276595745,"AlloprofReranking":0.619338,"NordicLangClassification":0.583033,"StatcanDialogueDatasetRetrieval":0.1232875,"RuBQReranking":0.308314,"STSES":0.769093,"WikiClusteringP2P.v2":0.2530740714285714,"FinParaSTS":0.1609355,"OpusparcusPC":0.8855614166666667,"CataloniaTweetClassification":0.47087425,"GermanSTSBenchmark":0.71297,"SwissJudgementClassification":0.5286123333333334,"MLQARetrieval":0.23109520408163264,"SwednClusteringP2P":0.2536955,"DBpediaClassification":0.901514,"HagridRetrieval":0.98604,"TswanaNewsClassification":0.28768,"WikipediaRetrievalMultilingual":0.6048525,"ArguAna":0.49352,"MIRACLRetrievalHardNegatives":0.1648711111111111,"IsiZuluNewsClassification":0.261037,"DiaBlaBitextMining":0.327466,"LegalBenchCorporateLobbying":0.91608,"EstonianValenceClassification":0.298778,"SinhalaNewsClassification":0.365186,"SprintDuplicateQuestions":0.9541507679819002,"CovidRetrieval":0.0401,"IndicCrosslingualSTS":-0.01840325,"Core17InstructionRetrieval":0.002087,"RTE3":0.8609395,"BibleNLPBitextMining":0.026658323067632852,"AfriSentiClassification":0.4076743333333333,"PAC":0.675586,"VoyageMMarcoReranking":0.286305,"GreekLegalCodeClassification":0.038891499999999996,"KurdishSentimentClassification":0.608505,"Robust04InstructionRetrieval":-0.062499,"TERRa":0.473702,"indonli":0.480264,"SpartQA":0.01745,"SentimentAnalysisHindi":0.383928,"ItaCaseholdClassification":0.542534,"OdiaNewsClassification":0.591369,"MasakhaNEWSClassification":0.6355073125,"FinancialPhrasebankClassification":0.809717,"ArXivHierarchicalClusteringP2P":0.572224,"CLSClusteringP2P.v2":0.164937,"CTKFactsNLI":0.723633,"JSICK":0.567301,"STSB":0.419142,"FloresBitextMining":0.18716888942818505,"MacedonianTweetSentimentClassification":0.317032,"TweetTopicSingleClassification":0.693798,"SIB200ClusteringS2S":0.10105417766497461,"HALClusteringS2S.v2":0.234878,"BulgarianStoreReviewSentimentClassfication":0.351648,"CzechProductReviewSentimentClassification":0.451855,"PawsXPairClassification":0.5366109285714286,"FilipinoShopeeReviewsClassification":0.2756105,"SemRel24STS":0.3993960833333334,"BigPatentClustering.v2":0.323807,"ArXivHierarchicalClusteringS2S":0.572867,"AILAStatutes":0.22899,"MultiHateClassification":0.5475090909090908,"MasakhaNEWSClusteringS2S":0.3868061875,"DalajClassification":0.498198,"T2Reranking":0.597219,"WebLINXCandidatesReranking":0.08962350000000001,"KorSarcasmClassification":0.532275,"NusaX-senti":0.5836041666666666,"StackExchangeClustering.v2":0.56889,"Tatoeba":0.0979241875,"PolEmo2.0-OUT":0.235425,"RomaniBibleClustering":0.387761,"STS22.v2":0.5592901666666666,"PoemSentimentClassification":0.5176875,"IndicGenBenchFloresBitextMining":0.055047508620689654},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":98,"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":0.3933198734301671,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6072819840435053,"Classification":0.49458432466577745,"Clustering":0.4009631070174877,"PairClassification":0.7262708963019432,"Reranking":0.4750181430043469,"Retrieval":0.404927464808717,"InstructionReranking":-0.03936266666666667,"BitextMining":0.3095466985228846,"MultilabelClassification":0.16064890917350866},"scoresByTask":{"ScalaClassification":0.50152587890625,"IndonesianIdClickbaitClassification":0.5662607891929815,"SICK-R":0.7839807283202838,"SCIDOCS":0.18681,"PunjabiNewsClassification":0.6,"AlloProfClusteringS2S.v2":0.3613314123735414,"SlovakMovieReviewSentimentClassification":0.567626953125,"WikipediaRerankingMultilingual":0.7631734788359789,"NTREXBitextMining":0.2768137162304641,"NusaParagraphEmotionClassification":0.28910273387230656,"MassiveIntentClassification":0.3077228091864849,"STS13":0.8299690334443994,"CyrillicTurkicLangClassification":0.647021484375,"CSFDSKMovieReviewSentimentClassification":0.227685546875,"XNLI":0.6178241537871462,"CEDRClassification":0.3410733262486717,"WinoGrande":0.46989,"IN22GenBitextMining":0.08854841653315136,"NusaTranslationBitextMining":0.73294374586137,"TwitterURLCorpus":0.8666483900596083,"PpcPC":0.7254084332039443,"TwitterHjerneRetrieval":0.39628,"MalteseNewsClassification":0.19647366129734437,"STS12":0.7348862196374729,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.28347241836862,"SwahiliNewsClassification":0.514501953125,"BiorxivClusteringP2P.v2":0.3911946928392568,"STS14":0.8044585834356298,"BornholmBitextMining":0.384923088023088,"FaroeseSTS":0.7022820299315986,"WikiCitiesClustering":0.8629738933210734,"NusaXBitextMining":0.3456763136461109,"STSBenchmark":0.854798891881189,"StackOverflowQA":0.87849,"MultiEURLEXMultilabelClassification":0.030129565217391307,"NorwegianCourtsBitextMining":0.9261695906432749,"PlscClusteringP2P.v2":0.6708641241339651,"ToxicConversationsClassification":0.658740234375,"BrazilianToxicTweetsClassification":0.186181640625,"IndicLangClassification":0.5030179498980867,"News21InstructionRetrieval":-0.020822,"GujaratiNewsClassification":0.43710166919575116,"SiswatiNewsClassification":0.47000000000000003,"STS17":0.41989804167357325,"NollySentiBitextMining":0.3317386931007994,"STS15":0.8818055224097616,"TempReasonL1":0.01735,"MedrxivClusteringP2P.v2":0.3553594605417122,"TRECCOVID":0.69633,"NepaliNewsClassification":0.583251953125,"ArmenianParaphrasePC":0.880724180828073,"AmazonCounterfactualClassification":0.6701691356225369,"KorHateSpeechMLClassification":0.04938635247913599,"BelebeleRetrieval":0.3184071542553192,"AlloprofReranking":0.654093169654747,"NordicLangClassification":0.6078666666666667,"StatcanDialogueDatasetRetrieval":0.1596025,"RuBQReranking":0.45350643601453516,"STSES":0.7676002181951239,"WikiClusteringP2P.v2":0.24898247863216613,"FinParaSTS":0.15392875797454897,"OpusparcusPC":0.884786885502178,"CataloniaTweetClassification":0.47781415824619666,"GermanSTSBenchmark":0.720826882387422,"SwissJudgementClassification":0.5468375570864121,"MLQARetrieval":0.24456714285714287,"SwednClusteringP2P":0.2680123459696884,"DBpediaClassification":0.893115234375,"HagridRetrieval":0.98698,"TswanaNewsClassification":0.2570841889117043,"WikipediaRetrievalMultilingual":0.615363125,"ArguAna":0.44568,"MIRACLRetrievalHardNegatives":0.15045444444444445,"IsiZuluNewsClassification":0.23563829787234045,"DiaBlaBitextMining":0.27328831839681844,"LegalBenchCorporateLobbying":0.91916,"EstonianValenceClassification":0.2965770171149144,"SinhalaNewsClassification":0.387548828125,"SprintDuplicateQuestions":0.9425578233832086,"CovidRetrieval":0.14883,"IndicCrosslingualSTS":-0.01332694301463828,"Core17InstructionRetrieval":-0.029186,"RTE3":0.8595278328131464,"BibleNLPBitextMining":0.020139059340378806,"AfriSentiClassification":0.3771128253246499,"PAC":0.6806255430060817,"VoyageMMarcoReranking":0.30998197088493534,"GreekLegalCodeClassification":0.0669921875,"KurdishSentimentClassification":0.5908907901358832,"Robust04InstructionRetrieval":-0.06808,"TERRa":0.49063514687851495,"indonli":0.4803616247335078,"SpartQA":0.07841,"SentimentAnalysisHindi":0.3918892540044135,"ItaCaseholdClassification":0.6927601809954751,"OdiaNewsClassification":0.5768405598409225,"MasakhaNEWSClassification":0.6273148524246869,"FinancialPhrasebankClassification":0.8292402826855124,"ArXivHierarchicalClusteringP2P":0.5796287997107757,"CLSClusteringP2P.v2":0.19094154283590511,"CTKFactsNLI":0.7249564699964335,"JSICK":0.7129048066992956,"STSB":0.40406215949785546,"FloresBitextMining":0.19416503600278381,"MacedonianTweetSentimentClassification":0.3769973661106233,"TweetTopicSingleClassification":0.6996455995274662,"SIB200ClusteringS2S":0.10039628740871737,"HALClusteringS2S.v2":0.24289227449286271,"BulgarianStoreReviewSentimentClassfication":0.43681318681318676,"CzechProductReviewSentimentClassification":0.4556640625,"PawsXPairClassification":0.5155489181356151,"FilipinoShopeeReviewsClassification":0.30241699218749996,"SemRel24STS":0.4399229544265435,"BigPatentClustering.v2":0.2692021458961568,"ArXivHierarchicalClusteringS2S":0.5462964772346335,"AILAStatutes":0.19609,"MultiHateClassification":0.5612090909090909,"MasakhaNEWSClusteringS2S":0.41108121330809333,"DalajClassification":0.49954954954954955,"T2Reranking":0.6049986055137735,"WebLINXCandidatesReranking":0.0643551971221117,"KorSarcasmClassification":0.5265625,"NusaX-senti":0.5958125,"StackExchangeClustering.v2":0.5311466874767545,"Tatoeba":0.0905515589029658,"PolEmo2.0-OUT":0.21052631578947367,"RomaniBibleClustering":0.3851058761045007,"STS22.v2":0.5185138577960277,"PoemSentimentClassification":0.522051282051282,"IndicGenBenchFloresBitextMining":0.07567712574767356},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":99,"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":{"STS":0.6923525658875975,"Classification":0.5309777956892799,"Clustering":0.3762742613844951,"PairClassification":0.7956577413419914,"Reranking":0.5112600520833334,"Retrieval":0.3506160130070547,"InstructionReranking":-0.011884666666666667,"BitextMining":0.4868127241704011,"MultilabelClassification":0.14905558260869564},"scoresByTask":{"ScalaClassification":0.5000125,"IndonesianIdClickbaitClassification":0.556406,"SICK-R":0.7961914245705792,"SCIDOCS":0.10929,"PunjabiNewsClassification":0.8,"AlloProfClusteringS2S.v2":0.341071,"SlovakMovieReviewSentimentClassification":0.616895,"WikipediaRerankingMultilingual":0.8113543125,"NTREXBitextMining":0.5661117724425887,"NusaParagraphEmotionClassification":0.2938831,"MassiveIntentClassification":0.5451980294117648,"STS13":0.7958989311630421,"CyrillicTurkicLangClassification":0.409961,"CSFDSKMovieReviewSentimentClassification":0.264258,"XNLI":0.8105940714285714,"CEDRClassification":0.392242,"WinoGrande":0.4282,"IN22GenBitextMining":0.30602846837944664,"NusaTranslationBitextMining":0.45384763636363634,"TwitterURLCorpus":0.847153,"PpcPC":0.916933,"TwitterHjerneRetrieval":0.27171,"MalteseNewsClassification":0.072834,"STS12":0.7738689922564416,"LEMBPasskeyRetrieval":0.08750000000000001,"BUCC.v2":0.9750105,"SwahiliNewsClassification":0.529541,"BiorxivClusteringP2P.v2":0.335766,"STS14":0.7978614320477877,"BornholmBitextMining":0.199516,"FaroeseSTS":0.595809,"WikiCitiesClustering":0.672536,"NusaXBitextMining":0.38732500000000003,"STSBenchmark":0.843492527221498,"StackOverflowQA":0.31124,"MultiEURLEXMultilabelClassification":0.023713913043478262,"NorwegianCourtsBitextMining":0.84576,"PlscClusteringP2P.v2":0.705807,"ToxicConversationsClassification":0.617285,"BrazilianToxicTweetsClassification":0.18501,"IndicLangClassification":0.289148,"News21InstructionRetrieval":0.002778,"GujaratiNewsClassification":0.728907,"SiswatiNewsClassification":0.74875,"STS17":0.8027092727272728,"NollySentiBitextMining":0.24273625000000001,"STS15":0.8621134464371615,"TempReasonL1":0.01218,"MedrxivClusteringP2P.v2":0.315893,"TRECCOVID":0.30658,"NepaliNewsClassification":0.869141,"ArmenianParaphrasePC":0.94091,"AmazonCounterfactualClassification":0.7175345,"KorHateSpeechMLClassification":0.071478,"BelebeleRetrieval":0.4506325,"AlloprofReranking":0.595396,"NordicLangClassification":0.394767,"StatcanDialogueDatasetRetrieval":0.0728,"RuBQReranking":0.550344,"STSES":0.71709,"WikiClusteringP2P.v2":0.23153557142857142,"FinParaSTS":0.278687,"OpusparcusPC":0.9393908333333334,"CataloniaTweetClassification":0.44379575,"GermanSTSBenchmark":0.8061045,"SwissJudgementClassification":0.5334343333333333,"MLQARetrieval":0.5416164285714286,"SwednClusteringP2P":0.2110355,"DBpediaClassification":0.867139,"HagridRetrieval":0.97729,"TswanaNewsClassification":0.185832,"WikipediaRetrievalMultilingual":0.67368375,"ArguAna":0.40791,"MIRACLRetrievalHardNegatives":0.22133555555555554,"IsiZuluNewsClassification":0.230053,"DiaBlaBitextMining":0.796327,"LegalBenchCorporateLobbying":0.83911,"EstonianValenceClassification":0.377506,"SinhalaNewsClassification":0.583398,"SprintDuplicateQuestions":0.89785,"CovidRetrieval":0.3666,"IndicCrosslingualSTS":0.2804238333333333,"Core17InstructionRetrieval":0.007971,"RTE3":0.87683175,"BibleNLPBitextMining":0.05195976811594203,"AfriSentiClassification":0.3952659166666667,"PAC":0.659427,"VoyageMMarcoReranking":0.399317,"GreekLegalCodeClassification":0.2686035,"KurdishSentimentClassification":0.768344,"Robust04InstructionRetrieval":-0.046403,"TERRa":0.59587,"indonli":0.574154,"SpartQA":0.04966,"SentimentAnalysisHindi":0.589957,"ItaCaseholdClassification":0.647059,"OdiaNewsClassification":0.715526,"MasakhaNEWSClassification":0.5329053125,"FinancialPhrasebankClassification":0.720716,"ArXivHierarchicalClusteringP2P":0.526815,"CLSClusteringP2P.v2":0.358156,"CTKFactsNLI":0.8273744999999999,"JSICK":0.751148,"STSB":0.798867,"FloresBitextMining":0.28655030616729454,"MacedonianTweetSentimentClassification":0.5964,"TweetTopicSingleClassification":0.591731,"SIB200ClusteringS2S":0.17920654822335028,"HALClusteringS2S.v2":0.198242,"BulgarianStoreReviewSentimentClassfication":0.493407,"CzechProductReviewSentimentClassification":0.508252,"PawsXPairClassification":0.525174,"FilipinoShopeeReviewsClassification":0.274536,"SemRel24STS":0.57739475,"BigPatentClustering.v2":0.220115,"ArXivHierarchicalClusteringS2S":0.516348,"AILAStatutes":0.18375,"MultiHateClassification":0.5957272727272728,"MasakhaNEWSClusteringS2S":0.3400455625,"DalajClassification":0.498649,"T2Reranking":0.65625,"WebLINXCandidatesReranking":0.054898999999999996,"KorSarcasmClassification":0.566846,"NusaX-senti":0.5848125000000001,"StackExchangeClustering.v2":0.483682,"Tatoeba":0.5857169196428572,"PolEmo2.0-OUT":0.256883,"RomaniBibleClustering":0.384134,"STS22.v2":0.5999809444444444,"PoemSentimentClassification":0.46415249999999997,"IndicGenBenchFloresBitextMining":0.6316757931034483},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":100,"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":{"Classification":0.48892114641731954,"Clustering":0.4040334794404913,"PairClassification":0.7203849121405375,"Reranking":0.48025647916666664,"Retrieval":0.41775034128022764,"InstructionReranking":-0.013906,"BitextMining":0.260951858860467,"MultilabelClassification":0.16420561739130432},"scoresByTask":{"ScalaClassification":0.49970725,"IndonesianIdClickbaitClassification":0.561313,"SICK-R":0.7965240734965129,"SCIDOCS":0.18098,"PunjabiNewsClassification":0.63949,"AlloProfClusteringS2S.v2":0.305767,"SlovakMovieReviewSentimentClassification":0.554053,"WikipediaRerankingMultilingual":0.746137375,"NTREXBitextMining":0.20778471189979122,"NusaParagraphEmotionClassification":0.29315389999999997,"MassiveIntentClassification":0.30336955882352945,"STS13":0.8287639489647018,"CyrillicTurkicLangClassification":0.640283,"CSFDSKMovieReviewSentimentClassification":0.22373,"XNLI":0.5919409642857143,"CEDRClassification":0.351966,"WinoGrande":0.62405,"IN22GenBitextMining":0.0549214347826087,"NusaTranslationBitextMining":0.6764028181818182,"TwitterURLCorpus":0.8631913976395483,"PpcPC":0.720014,"TwitterHjerneRetrieval":0.32422,"MalteseNewsClassification":0.22007,"STS12":0.726022866501722,"LEMBPasskeyRetrieval":0.3575,"BUCC.v2":0.20879575,"SwahiliNewsClassification":0.511572,"BiorxivClusteringP2P.v2":0.419052,"STS14":0.7974024708732993,"BornholmBitextMining":0.338169,"FaroeseSTS":0.693698,"WikiCitiesClustering":0.842026,"NusaXBitextMining":0.29720163636363633,"STSBenchmark":0.8657651994952795,"StackOverflowQA":0.81777,"MultiEURLEXMultilabelClassification":0.026226086956521736,"NorwegianCourtsBitextMining":0.921053,"PlscClusteringP2P.v2":0.645041,"ToxicConversationsClassification":0.730414,"BrazilianToxicTweetsClassification":0.193213,"IndicLangClassification":0.463956,"News21InstructionRetrieval":-0.005754,"GujaratiNewsClassification":0.396737,"SiswatiNewsClassification":0.60875,"NollySentiBitextMining":0.27723625,"STS15":0.8697688974734349,"TempReasonL1":0.01441,"MedrxivClusteringP2P.v2":0.402191,"TRECCOVID":0.79364,"NepaliNewsClassification":0.544629,"ArmenianParaphrasePC":0.873675,"AmazonCounterfactualClassification":0.684869375,"KorHateSpeechMLClassification":0.029553,"BelebeleRetrieval":0.29534380319148934,"AlloprofReranking":0.641998,"NordicLangClassification":0.551,"StatcanDialogueDatasetRetrieval":0.204975,"RuBQReranking":0.439396,"STSES":0.738418,"WikiClusteringP2P.v2":0.24323857142857142,"FinParaSTS":0.198546,"OpusparcusPC":0.8720440833333334,"CataloniaTweetClassification":0.46552975,"GermanSTSBenchmark":0.6531039999999999,"SwissJudgementClassification":0.5477923333333333,"MLQARetrieval":0.21793602040816326,"SwednClusteringP2P":0.2537815,"DBpediaClassification":0.910791,"HagridRetrieval":0.98632,"TswanaNewsClassification":0.273922,"WikipediaRetrievalMultilingual":0.560791875,"ArguAna":0.50806,"MIRACLRetrievalHardNegatives":0.18616944444444444,"IsiZuluNewsClassification":0.260904,"DiaBlaBitextMining":0.16661150000000002,"LegalBenchCorporateLobbying":0.91552,"EstonianValenceClassification":0.293276,"SinhalaNewsClassification":0.355811,"SprintDuplicateQuestions":0.9659150882873164,"CovidRetrieval":0.23796,"IndicCrosslingualSTS":0.04158216666666667,"Core17InstructionRetrieval":0.016271,"RTE3":0.8602795,"BibleNLPBitextMining":0.017024594806763285,"AfriSentiClassification":0.38640041666666664,"PAC":0.641326,"VoyageMMarcoReranking":0.34076,"GreekLegalCodeClassification":0.029443499999999997,"KurdishSentimentClassification":0.561047,"Robust04InstructionRetrieval":-0.052235,"TERRa":0.44986,"indonli":0.479021,"SpartQA":0.03662,"SentimentAnalysisHindi":0.388811,"ItaCaseholdClassification":0.60362,"OdiaNewsClassification":0.544014,"MasakhaNEWSClassification":0.6397375,"FinancialPhrasebankClassification":0.784585,"ArXivHierarchicalClusteringP2P":0.60552,"CLSClusteringP2P.v2":0.1684,"CTKFactsNLI":0.7253700000000001,"JSICK":0.670899,"STSB":0.42017950000000004,"FloresBitextMining":0.13530620498889212,"MacedonianTweetSentimentClassification":0.372256,"TweetTopicSingleClassification":0.702363,"SIB200ClusteringS2S":0.08593897461928933,"HALClusteringS2S.v2":0.201868,"BulgarianStoreReviewSentimentClassfication":0.347802,"CzechProductReviewSentimentClassification":0.446875,"PawsXPairClassification":0.522923,"FilipinoShopeeReviewsClassification":0.315161,"SemRel24STS":0.3921791666666667,"BigPatentClustering.v2":0.399049,"ArXivHierarchicalClusteringS2S":0.56104,"AILAStatutes":0.25724,"MultiHateClassification":0.5481545454545454,"MasakhaNEWSClusteringS2S":0.380344625,"DalajClassification":0.498536,"T2Reranking":0.634606,"WebLINXCandidatesReranking":0.07864149999999999,"KorSarcasmClassification":0.546045,"NusaX-senti":0.5802291666666667,"StackExchangeClustering.v2":0.574865,"Tatoeba":0.058902660714285716,"PolEmo2.0-OUT":0.267814,"RomaniBibleClustering":0.376413,"STS22.v2":0.49827033333333337,"PoemSentimentClassification":0.504336,"IndicGenBenchFloresBitextMining":0.03296460344827586},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":101,"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":{"Classification":0.47883810568492724,"Clustering":0.42260843934123454,"PairClassification":0.7170405357032513,"Reranking":0.4563623293887302,"Retrieval":0.38452862587479825,"InstructionReranking":-0.03349,"BitextMining":0.24379269570151896,"MultilabelClassification":0.16705609245483527},"scoresByTask":{"ScalaClassification":0.5015992499999999,"IndonesianIdClickbaitClassification":0.557422,"SICK-R":0.8128563534883214,"SCIDOCS":0.23469,"PunjabiNewsClassification":0.599363,"AlloProfClusteringS2S.v2":0.359073,"SlovakMovieReviewSentimentClassification":0.562158,"WikipediaRerankingMultilingual":0.726451875,"NTREXBitextMining":0.19572562473903965,"NusaParagraphEmotionClassification":0.2962065,"MassiveIntentClassification":0.284903637254902,"STS13":0.8784898360302155,"CyrillicTurkicLangClassification":0.63916,"CSFDSKMovieReviewSentimentClassification":0.217041,"XNLI":0.5996229285714286,"CEDRClassification":0.3324654622741764,"WinoGrande":0.40046,"IN22GenBitextMining":0.04814859881422925,"NusaTranslationBitextMining":0.6202960909090909,"TwitterURLCorpus":0.8610715280490069,"PpcPC":0.663789,"TwitterHjerneRetrieval":0.13799,"MalteseNewsClassification":0.241184,"STS12":0.76155337187325,"LEMBPasskeyRetrieval":0.21,"BUCC.v2":0.195733,"SwahiliNewsClassification":0.52251,"BiorxivClusteringP2P.v2":0.42258,"STS14":0.8338989083933329,"BornholmBitextMining":0.276012,"FaroeseSTS":0.639209,"WikiCitiesClustering":0.875305,"NusaXBitextMining":0.2611213636363636,"STSBenchmark":0.8732401087204754,"StackOverflowQA":0.81159,"MultiEURLEXMultilabelClassification":0.024700000000000003,"NorwegianCourtsBitextMining":0.903509,"PlscClusteringP2P.v2":0.703912,"ToxicConversationsClassification":0.724186,"BrazilianToxicTweetsClassification":0.19751,"IndicLangClassification":0.404146,"News21InstructionRetrieval":-0.007944,"GujaratiNewsClassification":0.412974,"SiswatiNewsClassification":0.49375,"NollySentiBitextMining":0.28215325,"STS15":0.8942976214499576,"TempReasonL1":0.01224,"MedrxivClusteringP2P.v2":0.375789,"TRECCOVID":0.69603,"NepaliNewsClassification":0.427539,"ArmenianParaphrasePC":0.867059,"AmazonCounterfactualClassification":0.661149375,"KorHateSpeechMLClassification":0.039421,"BelebeleRetrieval":0.2935283510638298,"AlloprofReranking":0.641533,"NordicLangClassification":0.530067,"StatcanDialogueDatasetRetrieval":0.24329,"RuBQReranking":0.36595660133238134,"STSES":0.720844,"WikiClusteringP2P.v2":0.2564194285714286,"FinParaSTS":0.106949,"OpusparcusPC":0.8709779166666666,"CataloniaTweetClassification":0.48271825,"GermanSTSBenchmark":0.668669,"SwissJudgementClassification":0.5341313333333334,"MLQARetrieval":0.20389142857142856,"SwednClusteringP2P":0.285746,"DBpediaClassification":0.822119,"HagridRetrieval":0.98781,"TswanaNewsClassification":0.283573,"WikipediaRetrievalMultilingual":0.517049375,"ArguAna":0.6262,"MIRACLRetrievalHardNegatives":0.1294161111111111,"IsiZuluNewsClassification":0.234043,"DiaBlaBitextMining":0.13284,"LegalBenchCorporateLobbying":0.92662,"EstonianValenceClassification":0.293888,"SinhalaNewsClassification":0.363184,"SprintDuplicateQuestions":0.9597587114452257,"CovidRetrieval":0.18898,"IndicCrosslingualSTS":0.04236675,"Core17InstructionRetrieval":-0.028588,"RTE3":0.85995725,"BibleNLPBitextMining":0.016144811594202897,"AfriSentiClassification":0.37762333333333337,"PAC":0.600319,"VoyageMMarcoReranking":0.308409,"GreekLegalCodeClassification":0.027612,"KurdishSentimentClassification":0.574987,"Robust04InstructionRetrieval":-0.063938,"TERRa":0.4829227722891509,"indonli":0.483465,"SpartQA":0.02637,"SentimentAnalysisHindi":0.377713,"ItaCaseholdClassification":0.655204,"OdiaNewsClassification":0.569461,"MasakhaNEWSClassification":0.6333430625,"FinancialPhrasebankClassification":0.815901,"ArXivHierarchicalClusteringP2P":0.595916,"CLSClusteringP2P.v2":0.216823,"CTKFactsNLI":0.703931,"JSICK":0.628,"STSB":0.470692,"FloresBitextMining":0.138177277214334,"MacedonianTweetSentimentClassification":0.360404,"TweetTopicSingleClassification":0.726048,"SIB200ClusteringS2S":0.10652472588832487,"HALClusteringS2S.v2":0.25591,"BulgarianStoreReviewSentimentClassfication":0.378022,"CzechProductReviewSentimentClassification":0.430566,"PawsXPairClassification":0.5348907857142857,"FilipinoShopeeReviewsClassification":0.3000485,"SemRel24STS":0.42567283333333333,"BigPatentClustering.v2":0.322645,"ArXivHierarchicalClusteringS2S":0.587499,"AILAStatutes":0.27536,"MultiHateClassification":0.5461636363636363,"MasakhaNEWSClusteringS2S":0.408743875,"DalajClassification":0.502928,"T2Reranking":0.610747,"WebLINXCandidatesReranking":0.0850765,"KorSarcasmClassification":0.518213,"NusaX-senti":0.5659791666666667,"StackExchangeClustering.v2":0.611531,"Tatoeba":0.06394013928145162,"PolEmo2.0-OUT":0.269231,"RomaniBibleClustering":0.377318,"STS22.v2":0.502682111111111,"PoemSentimentClassification":0.5124405,"IndicGenBenchFloresBitextMining":0.035503887931034483},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":102,"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":0.48730350138584544,"meanTaskType":0.4236984399786655,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.6658195256699465,"Classification":0.516568888283686,"Clustering":0.38329314568609923,"PairClassification":0.7899287121463505,"Reranking":0.5097238693264449,"Retrieval":0.3661497149517805,"InstructionReranking":-0.013123878201460252,"BitextMining":0.44562269372857694,"MultilabelClassification":0.14930328821656538},"scoresByTask":{"ScalaClassification":0.50113525390625,"IndonesianIdClickbaitClassification":0.5447571992128452,"SICK-R":0.7960669235249621,"SCIDOCS":0.13778,"PunjabiNewsClassification":0.6872611464968152,"AlloProfClusteringS2S.v2":0.4045121324528272,"SlovakMovieReviewSentimentClassification":0.631982421875,"WikipediaRerankingMultilingual":0.7850792824074073,"NTREXBitextMining":0.49966456477912763,"NusaParagraphEmotionClassification":0.28090422092665335,"MassiveIntentClassification":0.5164298806042713,"STS13":0.8069594195489891,"CyrillicTurkicLangClassification":0.323828125,"CSFDSKMovieReviewSentimentClassification":0.272705078125,"XNLI":0.7959167987732727,"CEDRClassification":0.37763018065887355,"WinoGrande":0.46517,"IN22GenBitextMining":0.17794478508891043,"NusaTranslationBitextMining":0.3737318739652382,"TwitterURLCorpus":0.8383014551116796,"PpcPC":0.9236653149841323,"TwitterHjerneRetrieval":0.18721,"MalteseNewsClassification":0.08528515454941227,"STS12":0.7602134324654332,"LEMBPasskeyRetrieval":0.0825,"BUCC.v2":0.9690364161894831,"SwahiliNewsClassification":0.43349609375,"BiorxivClusteringP2P.v2":0.36183432722474873,"STS14":0.7885313504683503,"BornholmBitextMining":0.19671528822055137,"FaroeseSTS":0.47293943188031634,"WikiCitiesClustering":0.5860680771370187,"NusaXBitextMining":0.3375617448605121,"STSBenchmark":0.8441678852971709,"StackOverflowQA":0.37943,"MultiEURLEXMultilabelClassification":0.028473913043478263,"NorwegianCourtsBitextMining":0.8241228070175439,"PlscClusteringP2P.v2":0.7025250257612787,"ToxicConversationsClassification":0.60126953125,"BrazilianToxicTweetsClassification":0.200537109375,"IndicLangClassification":0.2772240120980998,"News21InstructionRetrieval":-0.0037183018817733317,"GujaratiNewsClassification":0.7687405159332322,"SiswatiNewsClassification":0.6737500000000001,"STS17":0.814449612140821,"NollySentiBitextMining":0.2315320416181205,"STS15":0.858377178673668,"TempReasonL1":0.01432,"MedrxivClusteringP2P.v2":0.3474628627190173,"TRECCOVID":0.39345,"NepaliNewsClassification":0.770703125,"ArmenianParaphrasePC":0.935202064558111,"AmazonCounterfactualClassification":0.6807564562919773,"KorHateSpeechMLClassification":0.054590083456062845,"BelebeleRetrieval":0.45311276595744676,"AlloprofReranking":0.6242438219619088,"NordicLangClassification":0.42519999999999997,"StatcanDialogueDatasetRetrieval":0.1551125,"RuBQReranking":0.5279721446203545,"STSES":0.730132586284384,"WikiClusteringP2P.v2":0.23476647804639497,"FinParaSTS":0.23206666484404181,"OpusparcusPC":0.9385251838230301,"CataloniaTweetClassification":0.45505,"GermanSTSBenchmark":0.8068480124709163,"SwissJudgementClassification":0.5234760991033393,"MLQARetrieval":0.5702107142857143,"SwednClusteringP2P":0.27218829152813295,"DBpediaClassification":0.851025390625,"HagridRetrieval":0.97958,"TswanaNewsClassification":0.18644763860369612,"WikipediaRetrievalMultilingual":0.645405,"ArguAna":0.44878,"MIRACLRetrievalHardNegatives":0.2377438888888889,"IsiZuluNewsClassification":0.20478723404255322,"DiaBlaBitextMining":0.7775351531476424,"LegalBenchCorporateLobbying":0.88511,"EstonianValenceClassification":0.3875305623471883,"SinhalaNewsClassification":0.49384765625,"SprintDuplicateQuestions":0.9114959431815378,"CovidRetrieval":0.30115,"IndicCrosslingualSTS":0.19788971420337967,"Core17InstructionRetrieval":-0.006219572754538268,"RTE3":0.8841697304085178,"BibleNLPBitextMining":0.0481067333912658,"AfriSentiClassification":0.37672740295538326,"PAC":0.657486243845931,"VoyageMMarcoReranking":0.40179803574703865,"GreekLegalCodeClassification":0.297314453125,"KurdishSentimentClassification":0.8028686462003021,"Robust04InstructionRetrieval":-0.029433759968069153,"TERRa":0.5855563164758582,"indonli":0.5578666250475282,"SpartQA":0.04938,"SentimentAnalysisHindi":0.5861909658086787,"ItaCaseholdClassification":0.5452488687782805,"OdiaNewsClassification":0.7014107598037894,"MasakhaNEWSClassification":0.5240296641260579,"FinancialPhrasebankClassification":0.7396643109540636,"ArXivHierarchicalClusteringP2P":0.5361794435755446,"CLSClusteringP2P.v2":0.3613216103048282,"CTKFactsNLI":0.7948898019153445,"JSICK":0.6919120650023513,"STSB":0.8075013537387945,"FloresBitextMining":0.273070514609292,"MacedonianTweetSentimentClassification":0.6205443371378403,"TweetTopicSingleClassification":0.6511518015357354,"SIB200ClusteringS2S":0.1939446072915212,"HALClusteringS2S.v2":0.2349852586140488,"BulgarianStoreReviewSentimentClassfication":0.4769230769230769,"CzechProductReviewSentimentClassification":0.513427734375,"PawsXPairClassification":0.5236265993308434,"FilipinoShopeeReviewsClassification":0.2605224609375,"SemRel24STS":0.4780921542631211,"BigPatentClustering.v2":0.22730670439948125,"ArXivHierarchicalClusteringS2S":0.5224573621152333,"AILAStatutes":0.20525,"MultiHateClassification":0.5897363636363636,"MasakhaNEWSClusteringS2S":0.3382036145121526,"DalajClassification":0.5011261261261262,"T2Reranking":0.6527930543542254,"WebLINXCandidatesReranking":0.06645687686773495,"KorSarcasmClassification":0.557080078125,"NusaX-senti":0.5736458333333333,"StackExchangeClustering.v2":0.43471709937699465,"Tatoeba":0.5662915789757399,"PolEmo2.0-OUT":0.28663967611336033,"RomaniBibleClustering":0.37421743591836465,"STS22.v2":0.5669646259124438,"PoemSentimentClassification":0.45841575091575093,"IndicGenBenchFloresBitextMining":0.517781516608073},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":103,"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":{"Classification":0.4761348745004767,"Clustering":0.4138706163915201,"PairClassification":0.7173970519861403,"Reranking":0.48869792708333337,"Retrieval":0.382319824683518,"InstructionReranking":-0.012887333333333334,"BitextMining":0.2622801568463992,"MultilabelClassification":0.17914355652173913},"scoresByTask":{"ScalaClassification":0.50061025,"IndonesianIdClickbaitClassification":0.559189,"SICK-R":0.7980930790660699,"SCIDOCS":0.23440000000000003,"PunjabiNewsClassification":0.564331,"AlloProfClusteringS2S.v2":0.378373,"SlovakMovieReviewSentimentClassification":0.566699,"WikipediaRerankingMultilingual":0.7406230625,"NTREXBitextMining":0.2103113919624217,"NusaParagraphEmotionClassification":0.2786512,"MassiveIntentClassification":0.27702189215686274,"STS13":0.881099866206877,"CyrillicTurkicLangClassification":0.643066,"CSFDSKMovieReviewSentimentClassification":0.215039,"XNLI":0.5946544642857142,"CEDRClassification":0.360946,"WinoGrande":0.17335,"IN22GenBitextMining":0.03255626877470356,"NusaTranslationBitextMining":0.5967731818181818,"TwitterURLCorpus":0.8552705223340233,"PpcPC":0.694578,"TwitterHjerneRetrieval":0.23332,"MalteseNewsClassification":0.237745,"STS12":0.7680552915288186,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.26039075,"SwahiliNewsClassification":0.524463,"BiorxivClusteringP2P.v2":0.410188,"STS14":0.8266200957916445,"BornholmBitextMining":0.339581,"FaroeseSTS":0.664819,"WikiCitiesClustering":0.849984,"NusaXBitextMining":0.2921320909090909,"STSBenchmark":0.8607166710670507,"StackOverflowQA":0.82489,"MultiEURLEXMultilabelClassification":0.02949478260869565,"NorwegianCourtsBitextMining":0.903509,"PlscClusteringP2P.v2":0.696337,"ToxicConversationsClassification":0.7055579999999999,"BrazilianToxicTweetsClassification":0.221484,"IndicLangClassification":0.374814,"News21InstructionRetrieval":0.012578,"GujaratiNewsClassification":0.420865,"SiswatiNewsClassification":0.44125,"NollySentiBitextMining":0.29438725,"STS15":0.8892791680286954,"TempReasonL1":0.01617,"MedrxivClusteringP2P.v2":0.366636,"TRECCOVID":0.7021999999999999,"NepaliNewsClassification":0.405713,"ArmenianParaphrasePC":0.843303,"AmazonCounterfactualClassification":0.640996625,"KorHateSpeechMLClassification":0.046048,"BelebeleRetrieval":0.3232109840425532,"AlloprofReranking":0.70544,"NordicLangClassification":0.553933,"StatcanDialogueDatasetRetrieval":0.08951250000000001,"RuBQReranking":0.459815,"STSES":0.737066,"WikiClusteringP2P.v2":0.2529334285714286,"FinParaSTS":0.1158815,"OpusparcusPC":0.872385,"CataloniaTweetClassification":0.48432224999999995,"GermanSTSBenchmark":0.698542,"SwissJudgementClassification":0.5358096666666666,"MLQARetrieval":0.23400704081632653,"SwednClusteringP2P":0.2948515,"DBpediaClassification":0.821436,"HagridRetrieval":0.98673,"TswanaNewsClassification":0.262628,"WikipediaRetrievalMultilingual":0.587901875,"ArguAna":0.57158,"MIRACLRetrievalHardNegatives":0.16405444444444445,"IsiZuluNewsClassification":0.246543,"DiaBlaBitextMining":0.206674,"LegalBenchCorporateLobbying":0.91462,"EstonianValenceClassification":0.296577,"SinhalaNewsClassification":0.356104,"SprintDuplicateQuestions":0.9574716566563773,"CovidRetrieval":0.19652,"IndicCrosslingualSTS":0.015148999999999998,"Core17InstructionRetrieval":-0.003123,"RTE3":0.8596635,"BibleNLPBitextMining":0.02107204770531401,"AfriSentiClassification":0.3724718333333334,"PAC":0.616855,"VoyageMMarcoReranking":0.318553,"GreekLegalCodeClassification":0.066919,"KurdishSentimentClassification":0.585355,"Robust04InstructionRetrieval":-0.048117,"TERRa":0.484838,"indonli":0.479212,"SpartQA":0.01696,"SentimentAnalysisHindi":0.359396,"ItaCaseholdClassification":0.725339,"OdiaNewsClassification":0.538453,"MasakhaNEWSClassification":0.63437075,"FinancialPhrasebankClassification":0.827694,"ArXivHierarchicalClusteringP2P":0.586399,"CLSClusteringP2P.v2":0.206409,"CTKFactsNLI":0.7150110000000001,"JSICK":0.646186,"STSB":0.44546949999999996,"FloresBitextMining":0.14666389773495606,"MacedonianTweetSentimentClassification":0.371203,"TweetTopicSingleClassification":0.729829,"SIB200ClusteringS2S":0.1114367461928934,"HALClusteringS2S.v2":0.255711,"BulgarianStoreReviewSentimentClassfication":0.355495,"CzechProductReviewSentimentClassification":0.446094,"PawsXPairClassification":0.5349804285714286,"FilipinoShopeeReviewsClassification":0.29108900000000004,"SemRel24STS":0.3761818333333333,"BigPatentClustering.v2":0.254472,"ArXivHierarchicalClusteringS2S":0.585197,"AILAStatutes":0.23233,"MultiHateClassification":0.5534636363636364,"MasakhaNEWSClusteringS2S":0.3995001875,"DalajClassification":0.496622,"T2Reranking":0.613591,"WebLINXCandidatesReranking":0.09416550000000001,"KorSarcasmClassification":0.530273,"NusaX-senti":0.543125,"StackExchangeClustering.v2":0.603187,"Tatoeba":0.07015414285714286,"PolEmo2.0-OUT":0.213968,"RomaniBibleClustering":0.370315,"STS22.v2":0.5471163333333333,"PoemSentimentClassification":0.5401644999999999,"IndicGenBenchFloresBitextMining":0.03543701724137931},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":104,"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":{"Classification":0.49210311260259926,"Clustering":0.408714827663275,"PairClassification":0.7172517966724415,"Reranking":0.4359141215277778,"Retrieval":0.37807731181952686,"InstructionReranking":-0.02534,"BitextMining":0.23124526423696376,"MultilabelClassification":0.168997},"scoresByTask":{"ScalaClassification":0.50079325,"IndonesianIdClickbaitClassification":0.553671,"SICK-R":0.803077709440879,"SCIDOCS":0.21823,"PunjabiNewsClassification":0.656688,"AlloProfClusteringS2S.v2":0.324355,"SlovakMovieReviewSentimentClassification":0.549316,"WikipediaRerankingMultilingual":0.7078420625,"NTREXBitextMining":0.1817320114822547,"NusaParagraphEmotionClassification":0.299239,"MassiveIntentClassification":0.3468821960784314,"STS13":0.8608377598473446,"CyrillicTurkicLangClassification":0.6604,"CSFDSKMovieReviewSentimentClassification":0.214209,"XNLI":0.5988848928571429,"CEDRClassification":0.355473,"WinoGrande":0.35429,"IN22GenBitextMining":0.038335007905138344,"NusaTranslationBitextMining":0.6130804545454546,"TwitterURLCorpus":0.8548043564821317,"PpcPC":0.680782,"TwitterHjerneRetrieval":0.11558,"MalteseNewsClassification":0.243796,"STS12":0.7575714864112797,"LEMBPasskeyRetrieval":0.3075,"BUCC.v2":0.14012075,"SwahiliNewsClassification":0.513477,"BiorxivClusteringP2P.v2":0.418853,"STS14":0.8228284203795577,"BornholmBitextMining":0.303519,"FaroeseSTS":0.637321,"WikiCitiesClustering":0.801023,"NusaXBitextMining":0.22285927272727274,"STSBenchmark":0.8697909372129874,"StackOverflowQA":0.73456,"MultiEURLEXMultilabelClassification":0.023020000000000002,"NorwegianCourtsBitextMining":0.90424,"PlscClusteringP2P.v2":0.667876,"ToxicConversationsClassification":0.6943699999999999,"BrazilianToxicTweetsClassification":0.188037,"IndicLangClassification":0.438882,"News21InstructionRetrieval":-0.00396,"GujaratiNewsClassification":0.430956,"SiswatiNewsClassification":0.725,"NollySentiBitextMining":0.2770485,"STS15":0.8890045649789439,"TempReasonL1":0.01124,"MedrxivClusteringP2P.v2":0.380557,"TRECCOVID":0.80118,"NepaliNewsClassification":0.438428,"ArmenianParaphrasePC":0.885263,"AmazonCounterfactualClassification":0.661184125,"KorHateSpeechMLClassification":0.034659,"BelebeleRetrieval":0.25437784574468086,"AlloprofReranking":0.599676,"NordicLangClassification":0.537433,"StatcanDialogueDatasetRetrieval":0.235155,"RuBQReranking":0.306517,"STSES":0.718332,"WikiClusteringP2P.v2":0.24766885714285714,"FinParaSTS":0.1270985,"OpusparcusPC":0.8752005,"CataloniaTweetClassification":0.46891475,"GermanSTSBenchmark":0.6724140000000001,"SwissJudgementClassification":0.5492896666666667,"MLQARetrieval":0.17940418367346941,"SwednClusteringP2P":0.2983425,"DBpediaClassification":0.857959,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.296715,"WikipediaRetrievalMultilingual":0.48054125000000003,"ArguAna":0.57593,"MIRACLRetrievalHardNegatives":0.1264033333333333,"IsiZuluNewsClassification":0.256915,"DiaBlaBitextMining":0.101824,"LegalBenchCorporateLobbying":0.91852,"EstonianValenceClassification":0.291687,"SinhalaNewsClassification":0.393945,"SprintDuplicateQuestions":0.9621199069147254,"CovidRetrieval":0.21477,"IndicCrosslingualSTS":-0.022843333333333337,"Core17InstructionRetrieval":0.003904,"RTE3":0.85928325,"BibleNLPBitextMining":0.011726884661835748,"AfriSentiClassification":0.3921005833333333,"PAC":0.596785,"VoyageMMarcoReranking":0.284702,"GreekLegalCodeClassification":0.0384275,"KurdishSentimentClassification":0.579819,"Robust04InstructionRetrieval":-0.075964,"TERRa":0.455217,"indonli":0.482282,"SpartQA":0.00591,"SentimentAnalysisHindi":0.350142,"ItaCaseholdClassification":0.803167,"OdiaNewsClassification":0.590944,"MasakhaNEWSClassification":0.6410494375,"FinancialPhrasebankClassification":0.796466,"ArXivHierarchicalClusteringP2P":0.601126,"CLSClusteringP2P.v2":0.195414,"CTKFactsNLI":0.7090620000000001,"JSICK":0.650772,"STSB":0.4646245,"FloresBitextMining":0.12242906022408964,"MacedonianTweetSentimentClassification":0.357594,"TweetTopicSingleClassification":0.725635,"SIB200ClusteringS2S":0.09304619796954314,"HALClusteringS2S.v2":0.236545,"BulgarianStoreReviewSentimentClassfication":0.315385,"CzechProductReviewSentimentClassification":0.433008,"PawsXPairClassification":0.5268708571428571,"FilipinoShopeeReviewsClassification":0.289136,"SemRel24STS":0.3804490833333333,"BigPatentClustering.v2":0.326024,"ArXivHierarchicalClusteringS2S":0.575768,"AILAStatutes":0.28411,"MultiHateClassification":0.5514,"MasakhaNEWSClusteringS2S":0.4013386875,"DalajClassification":0.50259,"T2Reranking":0.631274,"WebLINXCandidatesReranking":0.08547366666666667,"KorSarcasmClassification":0.537012,"NusaX-senti":0.5411458333333333,"StackExchangeClustering.v2":0.584265,"Tatoeba":0.0545238125,"PolEmo2.0-OUT":0.294737,"RomaniBibleClustering":0.387235,"STS22.v2":0.5142086111111112,"PoemSentimentClassification":0.48753650000000004,"IndicGenBenchFloresBitextMining":0.034749681034482754},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":105,"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":{"Classification":0.4864060729215893,"Clustering":0.41513834276423134,"PairClassification":0.7173529912745488,"Reranking":0.43860490625,"Retrieval":0.35275553623862865,"InstructionReranking":-0.03273,"BitextMining":0.2508716745681959,"MultilabelClassification":0.15821954782608696},"scoresByTask":{"ScalaClassification":0.5015745,"IndonesianIdClickbaitClassification":0.582269,"SICK-R":0.8105827848407056,"SCIDOCS":0.18583,"PunjabiNewsClassification":0.593631,"AlloProfClusteringS2S.v2":0.351139,"SlovakMovieReviewSentimentClassification":0.557666,"WikipediaRerankingMultilingual":0.7245574375,"NTREXBitextMining":0.20778784551148224,"NusaParagraphEmotionClassification":0.2883084,"MassiveIntentClassification":0.29263157843137255,"STS13":0.8488094386637868,"CyrillicTurkicLangClassification":0.645117,"CSFDSKMovieReviewSentimentClassification":0.219482,"XNLI":0.606803357142857,"CEDRClassification":0.326993,"WinoGrande":0.25429,"IN22GenBitextMining":0.05365913241106719,"NusaTranslationBitextMining":0.6033513636363637,"TwitterURLCorpus":0.8615882097229648,"PpcPC":0.669711,"TwitterHjerneRetrieval":0.09708,"MalteseNewsClassification":0.216369,"STS12":0.787182808242435,"LEMBPasskeyRetrieval":0.17500000000000002,"BUCC.v2":0.20032775,"SwahiliNewsClassification":0.518115,"BiorxivClusteringP2P.v2":0.414085,"STS14":0.8310699573133828,"BornholmBitextMining":0.35395,"FaroeseSTS":0.645622,"WikiCitiesClustering":0.862996,"NusaXBitextMining":0.26396945454545456,"STSBenchmark":0.8744850004752103,"StackOverflowQA":0.78807,"MultiEURLEXMultilabelClassification":0.025521739130434783,"NorwegianCourtsBitextMining":0.908187,"PlscClusteringP2P.v2":0.669428,"ToxicConversationsClassification":0.7299279999999999,"BrazilianToxicTweetsClassification":0.177148,"IndicLangClassification":0.410747,"News21InstructionRetrieval":-0.012953,"GujaratiNewsClassification":0.411836,"SiswatiNewsClassification":0.5725,"NollySentiBitextMining":0.272117,"STS15":0.8873903130248592,"TempReasonL1":0.0091,"MedrxivClusteringP2P.v2":0.363817,"TRECCOVID":0.64792,"NepaliNewsClassification":0.461719,"ArmenianParaphrasePC":0.870422,"AmazonCounterfactualClassification":0.670369875,"KorHateSpeechMLClassification":0.045066,"BelebeleRetrieval":0.2796265159574468,"AlloprofReranking":0.652087,"NordicLangClassification":0.519767,"StatcanDialogueDatasetRetrieval":0.193615,"RuBQReranking":0.289029,"STSES":0.75843,"WikiClusteringP2P.v2":0.2506811428571428,"FinParaSTS":0.085982,"OpusparcusPC":0.8747931666666666,"CataloniaTweetClassification":0.47349275,"GermanSTSBenchmark":0.655087,"SwissJudgementClassification":0.530012,"MLQARetrieval":0.1945161224489796,"SwednClusteringP2P":0.288095,"DBpediaClassification":0.876562,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.273717,"WikipediaRetrievalMultilingual":0.501133125,"ArguAna":0.60627,"MIRACLRetrievalHardNegatives":0.1115788888888889,"IsiZuluNewsClassification":0.233777,"DiaBlaBitextMining":0.129611,"LegalBenchCorporateLobbying":0.91205,"EstonianValenceClassification":0.294499,"SinhalaNewsClassification":0.389258,"SprintDuplicateQuestions":0.9569771347732625,"CovidRetrieval":0.14017,"IndicCrosslingualSTS":0.06423383333333334,"Core17InstructionRetrieval":-0.014892,"RTE3":0.86573425,"BibleNLPBitextMining":0.014614067632850242,"AfriSentiClassification":0.37592766666666666,"PAC":0.61671,"VoyageMMarcoReranking":0.276406,"GreekLegalCodeClassification":0.038623000000000005,"KurdishSentimentClassification":0.595018,"Robust04InstructionRetrieval":-0.070345,"TERRa":0.468912,"indonli":0.491976,"SpartQA":0.06801,"SentimentAnalysisHindi":0.382433,"ItaCaseholdClassification":0.70724,"OdiaNewsClassification":0.566961,"MasakhaNEWSClassification":0.6311145625,"FinancialPhrasebankClassification":0.805565,"ArXivHierarchicalClusteringP2P":0.59993,"CLSClusteringP2P.v2":0.208722,"CTKFactsNLI":0.7034849999999999,"JSICK":0.609924,"STSB":0.4676725,"FloresBitextMining":0.14340411223799865,"MacedonianTweetSentimentClassification":0.354697,"TweetTopicSingleClassification":0.726816,"SIB200ClusteringS2S":0.09597209137055837,"HALClusteringS2S.v2":0.244082,"BulgarianStoreReviewSentimentClassfication":0.358791,"CzechProductReviewSentimentClassification":0.448047,"PawsXPairClassification":0.5204807857142857,"FilipinoShopeeReviewsClassification":0.29406750000000004,"SemRel24STS":0.4087220833333333,"BigPatentClustering.v2":0.341423,"ArXivHierarchicalClusteringS2S":0.58569,"AILAStatutes":0.19698,"MultiHateClassification":0.5493636363636364,"MasakhaNEWSClusteringS2S":0.40778225,"DalajClassification":0.503716,"T2Reranking":0.599792,"WebLINXCandidatesReranking":0.089758,"KorSarcasmClassification":0.522949,"NusaX-senti":0.5790416666666667,"StackExchangeClustering.v2":0.590957,"Tatoeba":0.06714650892857142,"PolEmo2.0-OUT":0.275911,"RomaniBibleClustering":0.367414,"STS22.v2":0.5169397222222222,"PoemSentimentClassification":0.53549,"IndicGenBenchFloresBitextMining":0.04320653448275862},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":106,"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":{"Classification":0.4899822382700121,"Clustering":0.39104962517279285,"PairClassification":0.7170478844832125,"Reranking":0.48176546875,"Retrieval":0.40662063976536245,"InstructionReranking":-0.02146466666666667,"BitextMining":0.2741206105414802,"MultilabelClassification":0.16381166956521737},"scoresByTask":{"ScalaClassification":0.5002075,"IndonesianIdClickbaitClassification":0.547841,"SICK-R":0.7418938626206575,"SCIDOCS":0.2017,"PunjabiNewsClassification":0.63758,"AlloProfClusteringS2S.v2":0.353976,"SlovakMovieReviewSentimentClassification":0.560938,"WikipediaRerankingMultilingual":0.7849368125,"NTREXBitextMining":0.21932943893528184,"NusaParagraphEmotionClassification":0.3025951,"MassiveIntentClassification":0.32265404901960787,"STS13":0.8477145185366202,"CyrillicTurkicLangClassification":0.687646,"CSFDSKMovieReviewSentimentClassification":0.227734,"XNLI":0.58517125,"CEDRClassification":0.330765,"WinoGrande":0.55998,"IN22GenBitextMining":0.07330315612648221,"NusaTranslationBitextMining":0.6557476363636364,"TwitterURLCorpus":0.8541051488820464,"PpcPC":0.662038,"TwitterHjerneRetrieval":0.14506,"MalteseNewsClassification":0.202307,"STS12":0.7322311186990363,"LEMBPasskeyRetrieval":0.485,"BUCC.v2":0.25192925,"SwahiliNewsClassification":0.514111,"BiorxivClusteringP2P.v2":0.387819,"STS14":0.799948128016449,"BornholmBitextMining":0.387452,"FaroeseSTS":0.642727,"WikiCitiesClustering":0.790965,"NusaXBitextMining":0.316431,"STSBenchmark":0.8395859527071088,"StackOverflowQA":0.75436,"MultiEURLEXMultilabelClassification":0.027324347826086958,"NorwegianCourtsBitextMining":0.91038,"PlscClusteringP2P.v2":0.688227,"ToxicConversationsClassification":0.7296340000000001,"BrazilianToxicTweetsClassification":0.209717,"IndicLangClassification":0.495526,"News21InstructionRetrieval":0.015335,"GujaratiNewsClassification":0.406373,"SiswatiNewsClassification":0.58875,"NollySentiBitextMining":0.28934925,"STS15":0.8726758456901442,"TempReasonL1":0.01679,"MedrxivClusteringP2P.v2":0.348539,"TRECCOVID":0.62203,"NepaliNewsClassification":0.578955,"ArmenianParaphrasePC":0.891183,"AmazonCounterfactualClassification":0.67554825,"KorHateSpeechMLClassification":0.048945,"BelebeleRetrieval":0.32400880319148934,"AlloprofReranking":0.64001,"NordicLangClassification":0.537067,"StatcanDialogueDatasetRetrieval":0.22869,"RuBQReranking":0.400502,"STSES":0.718886,"WikiClusteringP2P.v2":0.24807385714285715,"FinParaSTS":0.10904900000000001,"OpusparcusPC":0.876057,"CataloniaTweetClassification":0.459943,"GermanSTSBenchmark":0.696293,"SwissJudgementClassification":0.5581616666666666,"MLQARetrieval":0.23698979591836736,"SwednClusteringP2P":0.30542400000000003,"DBpediaClassification":0.837988,"HagridRetrieval":0.98471,"TswanaNewsClassification":0.316427,"WikipediaRetrievalMultilingual":0.63208625,"ArguAna":0.54812,"MIRACLRetrievalHardNegatives":0.14851666666666669,"IsiZuluNewsClassification":0.248138,"DiaBlaBitextMining":0.164329,"LegalBenchCorporateLobbying":0.9369,"EstonianValenceClassification":0.297188,"SinhalaNewsClassification":0.359766,"SprintDuplicateQuestions":0.9593389375761486,"CovidRetrieval":0.19467,"IndicCrosslingualSTS":-0.04279158333333333,"Core17InstructionRetrieval":-0.022076,"RTE3":0.85203375,"BibleNLPBitextMining":0.021927052536231884,"AfriSentiClassification":0.3791570833333333,"PAC":0.635447,"VoyageMMarcoReranking":0.331604,"GreekLegalCodeClassification":0.052466,"KurdishSentimentClassification":0.590941,"Robust04InstructionRetrieval":-0.057653,"TERRa":0.470902,"indonli":0.482936,"SpartQA":0.069,"SentimentAnalysisHindi":0.389449,"ItaCaseholdClassification":0.623529,"OdiaNewsClassification":0.578292,"MasakhaNEWSClassification":0.6509746875,"FinancialPhrasebankClassification":0.819081,"ArXivHierarchicalClusteringP2P":0.567453,"CLSClusteringP2P.v2":0.174395,"CTKFactsNLI":0.710456,"JSICK":0.686459,"STSB":0.449326,"FloresBitextMining":0.15048168786825075,"MacedonianTweetSentimentClassification":0.362248,"TweetTopicSingleClassification":0.638098,"SIB200ClusteringS2S":0.08961220812182741,"HALClusteringS2S.v2":0.193763,"BulgarianStoreReviewSentimentClassfication":0.358791,"CzechProductReviewSentimentClassification":0.443945,"PawsXPairClassification":0.5433056428571429,"FilipinoShopeeReviewsClassification":0.2918945,"SemRel24STS":0.42707558333333334,"BigPatentClustering.v2":0.296227,"ArXivHierarchicalClusteringS2S":0.552057,"AILAStatutes":0.23056,"MultiHateClassification":0.5527909090909091,"MasakhaNEWSClusteringS2S":0.3523499375,"DalajClassification":0.497635,"T2Reranking":0.62252,"WebLINXCandidatesReranking":0.11102000000000001,"KorSarcasmClassification":0.530566,"NusaX-senti":0.5680625,"StackExchangeClustering.v2":0.527255,"Tatoeba":0.07494874107142857,"PolEmo2.0-OUT":0.241498,"RomaniBibleClustering":0.380658,"STS22.v2":0.5730821666666667,"PoemSentimentClassification":0.473599,"IndicGenBenchFloresBitextMining":0.04795972413793104},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":107,"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":{"Classification":0.5017183966028271,"Clustering":0.38085018947153737,"PairClassification":0.7293370197851594,"Reranking":0.4247470416666667,"Retrieval":0.36776524101849173,"InstructionReranking":-0.029243666666666668,"BitextMining":0.2786061755535216,"MultilabelClassification":0.1571270347826087},"scoresByTask":{"ScalaClassification":0.50170875,"IndonesianIdClickbaitClassification":0.551502,"SICK-R":0.7829727771767095,"SCIDOCS":0.18694,"PunjabiNewsClassification":0.673885,"AlloProfClusteringS2S.v2":0.312929,"SlovakMovieReviewSentimentClassification":0.556055,"WikipediaRerankingMultilingual":0.71672675,"NTREXBitextMining":0.23567894624217117,"NusaParagraphEmotionClassification":0.31234,"MassiveIntentClassification":0.35227547058823533,"STS13":0.8358056936846942,"CyrillicTurkicLangClassification":0.648389,"CSFDSKMovieReviewSentimentClassification":0.222021,"XNLI":0.60366625,"CEDRClassification":0.339639,"WinoGrande":0.37335,"IN22GenBitextMining":0.06854173913043478,"NusaTranslationBitextMining":0.7128998181818181,"TwitterURLCorpus":0.8663028865482376,"PpcPC":0.707928,"TwitterHjerneRetrieval":0.06443,"MalteseNewsClassification":0.19852,"STS12":0.7579279003980384,"LEMBPasskeyRetrieval":0.6525,"BUCC.v2":0.225639,"SwahiliNewsClassification":0.518213,"BiorxivClusteringP2P.v2":0.367251,"STS14":0.79948683747966,"BornholmBitextMining":0.374419,"FaroeseSTS":0.661041,"WikiCitiesClustering":0.727597,"NusaXBitextMining":0.3025221818181818,"STSBenchmark":0.8652303197250791,"StackOverflowQA":0.79923,"MultiEURLEXMultilabelClassification":0.025092173913043476,"NorwegianCourtsBitextMining":0.913743,"PlscClusteringP2P.v2":0.656811,"ToxicConversationsClassification":0.721126,"BrazilianToxicTweetsClassification":0.191113,"IndicLangClassification":0.51581,"News21InstructionRetrieval":-0.004283,"GujaratiNewsClassification":0.423065,"SiswatiNewsClassification":0.7275,"NollySentiBitextMining":0.2939915,"STS15":0.8882021731518206,"TempReasonL1":0.01465,"MedrxivClusteringP2P.v2":0.344909,"TRECCOVID":0.69596,"NepaliNewsClassification":0.522852,"ArmenianParaphrasePC":0.875325,"AmazonCounterfactualClassification":0.671741625,"KorHateSpeechMLClassification":0.031271,"BelebeleRetrieval":0.27140271276595745,"AlloprofReranking":0.583338,"NordicLangClassification":0.599867,"StatcanDialogueDatasetRetrieval":0.1333825,"RuBQReranking":0.306557,"STSES":0.704574,"WikiClusteringP2P.v2":0.24126771428571428,"FinParaSTS":0.15645550000000003,"OpusparcusPC":0.8791773333333334,"CataloniaTweetClassification":0.47418575,"GermanSTSBenchmark":0.6615805,"SwissJudgementClassification":0.5551353333333333,"MLQARetrieval":0.202280306122449,"SwednClusteringP2P":0.267841,"DBpediaClassification":0.920605,"HagridRetrieval":0.98681,"TswanaNewsClassification":0.290965,"WikipediaRetrievalMultilingual":0.503959375,"ArguAna":0.4449,"MIRACLRetrievalHardNegatives":0.09393944444444445,"IsiZuluNewsClassification":0.238165,"DiaBlaBitextMining":0.187813,"LegalBenchCorporateLobbying":0.90173,"EstonianValenceClassification":0.30599,"SinhalaNewsClassification":0.397217,"SprintDuplicateQuestions":0.9459134620408962,"CovidRetrieval":0.04758,"IndicCrosslingualSTS":-0.03211675,"Core17InstructionRetrieval":-0.02144,"RTE3":0.875533,"BibleNLPBitextMining":0.016012740942028987,"AfriSentiClassification":0.38675166666666666,"PAC":0.652302,"VoyageMMarcoReranking":0.268894,"GreekLegalCodeClassification":0.0722415,"KurdishSentimentClassification":0.579265,"Robust04InstructionRetrieval":-0.062008,"TERRa":0.508323,"indonli":0.498959,"SpartQA":0.03535,"SentimentAnalysisHindi":0.384319,"ItaCaseholdClassification":0.642534,"OdiaNewsClassification":0.572004,"MasakhaNEWSClassification":0.636389125,"FinancialPhrasebankClassification":0.788207,"ArXivHierarchicalClusteringP2P":0.552846,"CLSClusteringP2P.v2":0.170865,"CTKFactsNLI":0.7313735,"JSICK":0.603486,"STSB":0.3657415,"FloresBitextMining":0.16481505631218005,"MacedonianTweetSentimentClassification":0.390255,"TweetTopicSingleClassification":0.682162,"SIB200ClusteringS2S":0.08389181725888326,"HALClusteringS2S.v2":0.23174,"BulgarianStoreReviewSentimentClassfication":0.392857,"CzechProductReviewSentimentClassification":0.440234,"PawsXPairClassification":0.5302057857142858,"FilipinoShopeeReviewsClassification":0.28757299999999997,"SemRel24STS":0.39846733333333334,"BigPatentClustering.v2":0.336437,"ArXivHierarchicalClusteringS2S":0.538693,"AILAStatutes":0.21138,"MultiHateClassification":0.5608,"MasakhaNEWSClusteringS2S":0.3820535,"DalajClassification":0.499775,"T2Reranking":0.586084,"WebLINXCandidatesReranking":0.08688250000000002,"KorSarcasmClassification":0.539502,"NusaX-senti":0.5677708333333333,"StackExchangeClustering.v2":0.52223,"Tatoeba":0.0657399375,"PolEmo2.0-OUT":0.281984,"RomaniBibleClustering":0.356241,"STS22.v2":0.49595616666666664,"PoemSentimentClassification":0.516351,"IndicGenBenchFloresBitextMining":0.06006436206896552},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":108,"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":0.4415222031994076,"meanTaskType":0.3636763615283428,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5737464627525253,"Classification":0.5228402404266557,"Clustering":0.4216150220778191,"PairClassification":0.7238550800865802,"Reranking":0.3607395798611111,"Retrieval":0.3078808277766386,"InstructionReranking":-0.03324033333333334,"BitextMining":0.23553317410708854,"MultilabelClassification":0.16011720000000002},"scoresByTask":{"ScalaClassification":0.50122075,"IndonesianIdClickbaitClassification":0.578081,"SICK-R":0.808023,"SCIDOCS":0.05346,"PunjabiNewsClassification":0.688535,"AlloProfClusteringS2S.v2":0.363268,"SlovakMovieReviewSentimentClassification":0.570703,"WikipediaRerankingMultilingual":0.6376553125,"NTREXBitextMining":0.22708399478079333,"NusaParagraphEmotionClassification":0.303853,"MassiveIntentClassification":0.3773632941176471,"STS13":0.837403,"CyrillicTurkicLangClassification":0.655518,"CSFDSKMovieReviewSentimentClassification":0.217041,"XNLI":0.5872564285714285,"CEDRClassification":0.352444,"WinoGrande":0.15227,"IN22GenBitextMining":0.11263156126482214,"NusaTranslationBitextMining":0.5452411818181818,"TwitterURLCorpus":0.854059,"PpcPC":0.726414,"TwitterHjerneRetrieval":0.18522,"MalteseNewsClassification":0.192425,"STS12":0.785712,"LEMBPasskeyRetrieval":0.1975,"BUCC.v2":0.17784149999999999,"SwahiliNewsClassification":0.54458,"BiorxivClusteringP2P.v2":0.426656,"STS14":0.822311,"BornholmBitextMining":0.241953,"FaroeseSTS":0.624483,"WikiCitiesClustering":0.855346,"NusaXBitextMining":0.2656590909090909,"STSBenchmark":0.866135,"StackOverflowQA":0.72256,"MultiEURLEXMultilabelClassification":0.02574,"NorwegianCourtsBitextMining":0.847807,"PlscClusteringP2P.v2":0.680967,"ToxicConversationsClassification":0.646729,"BrazilianToxicTweetsClassification":0.185303,"IndicLangClassification":0.788122,"News21InstructionRetrieval":-0.004789,"GujaratiNewsClassification":0.551442,"SiswatiNewsClassification":0.74,"STS17":0.4302721818181819,"NollySentiBitextMining":0.27162074999999997,"STS15":0.881554,"TempReasonL1":0.01243,"MedrxivClusteringP2P.v2":0.37711,"TRECCOVID":0.39997,"NepaliNewsClassification":0.710791,"ArmenianParaphrasePC":0.888154,"AmazonCounterfactualClassification":0.660390875,"KorHateSpeechMLClassification":0.044674,"BelebeleRetrieval":0.25184904255319146,"AlloprofReranking":0.549436,"NordicLangClassification":0.581433,"StatcanDialogueDatasetRetrieval":0.17721,"RuBQReranking":0.176976,"STSES":0.703403,"WikiClusteringP2P.v2":0.24572671428571427,"FinParaSTS":0.0680635,"OpusparcusPC":0.8610826666666668,"CataloniaTweetClassification":0.4763555,"GermanSTSBenchmark":0.613086,"SwissJudgementClassification":0.5236096666666666,"MLQARetrieval":0.16768051020408165,"SwednClusteringP2P":0.294875,"DBpediaClassification":0.864014,"HagridRetrieval":0.98766,"TswanaNewsClassification":0.259343,"WikipediaRetrievalMultilingual":0.37620312499999997,"ArguAna":0.59834,"MIRACLRetrievalHardNegatives":0.05721222222222222,"IsiZuluNewsClassification":0.259176,"DiaBlaBitextMining":0.054638,"LegalBenchCorporateLobbying":0.91128,"EstonianValenceClassification":0.299267,"SinhalaNewsClassification":0.473291,"SprintDuplicateQuestions":0.963292,"CovidRetrieval":0.00158,"IndicCrosslingualSTS":0.048059083333333336,"Core17InstructionRetrieval":-0.022127,"RTE3":0.8715705,"BibleNLPBitextMining":0.015686683574879227,"AfriSentiClassification":0.3908270833333333,"PAC":0.645033304373009,"VoyageMMarcoReranking":0.189641,"GreekLegalCodeClassification":0.031421,"KurdishSentimentClassification":0.59537,"Robust04InstructionRetrieval":-0.072805,"TERRa":0.4829,"indonli":0.488006,"SpartQA":0.06962,"SentimentAnalysisHindi":0.364283,"ItaCaseholdClassification":0.849774,"OdiaNewsClassification":0.636718,"MasakhaNEWSClassification":0.6322785625,"FinancialPhrasebankClassification":0.802473,"ArXivHierarchicalClusteringP2P":0.59867,"CLSClusteringP2P.v2":0.260635,"CTKFactsNLI":0.721683,"JSICK":0.547506,"STSB":0.27923699999999996,"FloresBitextMining":0.1554614483966,"MacedonianTweetSentimentClassification":0.381036,"TweetTopicSingleClassification":0.734082,"SIB200ClusteringS2S":0.08987426395939087,"HALClusteringS2S.v2":0.242857,"BulgarianStoreReviewSentimentClassfication":0.353846,"CzechProductReviewSentimentClassification":0.43501,"PawsXPairClassification":0.5179882857142857,"FilipinoShopeeReviewsClassification":0.2863285,"SemRel24STS":0.3650650833333333,"BigPatentClustering.v2":0.383094,"ArXivHierarchicalClusteringS2S":0.555983,"AILAStatutes":0.21981,"MultiHateClassification":0.5603636363636363,"MasakhaNEWSClusteringS2S":0.423637375,"DalajClassification":0.502027,"T2Reranking":0.530725,"WebLINXCandidatesReranking":0.08000416666666667,"KorSarcasmClassification":0.530176,"NusaX-senti":0.5833125,"StackExchangeClustering.v2":0.574387,"Tatoeba":0.06871327678571429,"PolEmo2.0-OUT":0.35809716599190283,"RomaniBibleClustering":0.372754,"STS22.v2":0.4996305555555555,"PoemSentimentClassification":0.5388145,"IndicGenBenchFloresBitextMining":0.07759377586206896},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":109,"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":0.3814252903466809,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5996556319877875,"Classification":0.4798785121085593,"Clustering":0.41405828272955114,"PairClassification":0.7169130237317259,"Reranking":0.47570400293367926,"Retrieval":0.38610113720094025,"InstructionReranking":-0.039828333333333334,"BitextMining":0.2366939557612183,"MultilabelClassification":0.1636514},"scoresByTask":{"ScalaClassification":0.501416015625,"IndonesianIdClickbaitClassification":0.5675181467981372,"SICK-R":0.8030113956602887,"SCIDOCS":0.21725,"PunjabiNewsClassification":0.5942675159235667,"AlloProfClusteringS2S.v2":0.36888166426835217,"SlovakMovieReviewSentimentClassification":0.5552734375,"WikipediaRerankingMultilingual":0.7482888723544974,"NTREXBitextMining":0.18782182072788872,"NusaParagraphEmotionClassification":0.28694690165368325,"MassiveIntentClassification":0.29001338390338705,"STS13":0.8418359851756962,"CyrillicTurkicLangClassification":0.64658203125,"CSFDSKMovieReviewSentimentClassification":0.21796875,"XNLI":0.6049994436873245,"CEDRClassification":0.336238,"WinoGrande":0.13762,"IN22GenBitextMining":0.045363678943209244,"NusaTranslationBitextMining":0.5900375182713821,"TwitterURLCorpus":0.8564521499076442,"PpcPC":0.6765950542181262,"TwitterHjerneRetrieval":0.3151,"MalteseNewsClassification":0.224946,"STS12":0.7802846881992981,"LEMBPasskeyRetrieval":0.18000000000000002,"BUCC.v2":0.17480235939157296,"SwahiliNewsClassification":0.5185546875,"BiorxivClusteringP2P.v2":0.41671936179830205,"STS14":0.8227285338843656,"BornholmBitextMining":0.27604043637521897,"FaroeseSTS":0.6425782252314615,"WikiCitiesClustering":0.8608056803918346,"NusaXBitextMining":0.26289668348646134,"STSBenchmark":0.8641801045690194,"StackOverflowQA":0.80228,"MultiEURLEXMultilabelClassification":0.02794,"NorwegianCourtsBitextMining":0.9067251461988304,"PlscClusteringP2P.v2":0.6942819671719158,"ToxicConversationsClassification":0.670361328125,"BrazilianToxicTweetsClassification":0.187012,"IndicLangClassification":0.4270136103622855,"News21InstructionRetrieval":-0.009961,"GujaratiNewsClassification":0.4000758725341426,"SiswatiNewsClassification":0.51625,"STS17":0.42320743874364647,"NollySentiBitextMining":0.265771218007503,"STS15":0.8795662500150213,"TempReasonL1":0.01073,"MedrxivClusteringP2P.v2":0.3632620368274916,"TRECCOVID":0.78029,"NepaliNewsClassification":0.442724609375,"ArmenianParaphrasePC":0.8703939295948434,"AmazonCounterfactualClassification":0.6602951658649427,"KorHateSpeechMLClassification":0.042121,"BelebeleRetrieval":0.2937189361702128,"AlloprofReranking":0.6218705897681431,"NordicLangClassification":0.5343,"StatcanDialogueDatasetRetrieval":0.2252825,"RuBQReranking":0.44524547699694,"STSES":0.7256256149542571,"WikiClusteringP2P.v2":0.2465445511096089,"FinParaSTS":0.10132880531033092,"OpusparcusPC":0.8741595067885141,"CataloniaTweetClassification":0.48165575960810975,"GermanSTSBenchmark":0.6557169829445715,"SwissJudgementClassification":0.5364300000000001,"MLQARetrieval":0.2076330612244898,"SwednClusteringP2P":0.2868285031269452,"DBpediaClassification":0.8271484375,"HagridRetrieval":0.98829,"TswanaNewsClassification":0.28624229979466115,"WikipediaRetrievalMultilingual":0.56414375,"ArguAna":0.63752,"MIRACLRetrievalHardNegatives":0.17404222222222224,"IsiZuluNewsClassification":0.23377659574468085,"DiaBlaBitextMining":0.1221141947077726,"LegalBenchCorporateLobbying":0.91672,"EstonianValenceClassification":0.2893643031784841,"SinhalaNewsClassification":0.372607421875,"SprintDuplicateQuestions":0.9637070633494467,"CovidRetrieval":0.23207,"IndicCrosslingualSTS":0.07372074182768025,"Core17InstructionRetrieval":-0.034175,"RTE3":0.8642650702385338,"BibleNLPBitextMining":0.014617693276362474,"AfriSentiClassification":0.3667348764533609,"PAC":0.5961482768607008,"VoyageMMarcoReranking":0.3197988617242776,"GreekLegalCodeClassification":0.036328125,"KurdishSentimentClassification":0.5848515349773529,"Robust04InstructionRetrieval":-0.075349,"TERRa":0.4711582214111984,"indonli":0.4832895922964917,"SpartQA":0.03367,"SentimentAnalysisHindi":0.3830833432147465,"ItaCaseholdClassification":0.6972850678733031,"OdiaNewsClassification":0.5388313787456811,"MasakhaNEWSClassification":0.6148979749519565,"FinancialPhrasebankClassification":0.804726148409894,"ArXivHierarchicalClusteringP2P":0.6068256839091629,"CLSClusteringP2P.v2":0.20925849649331352,"CTKFactsNLI":0.6966847316111846,"JSICK":0.6377333314877683,"STSB":0.44958034856820145,"FloresBitextMining":0.13030990414084534,"MacedonianTweetSentimentClassification":0.3628621597892889,"TweetTopicSingleClassification":0.7175428233904312,"SIB200ClusteringS2S":0.09367398281450416,"HALClusteringS2S.v2":0.25267746520624706,"BulgarianStoreReviewSentimentClassfication":0.3510989010989011,"CzechProductReviewSentimentClassification":0.43818359375,"PawsXPairClassification":0.5243384979456771,"FilipinoShopeeReviewsClassification":0.304052734375,"SemRel24STS":0.4274099961523518,"BigPatentClustering.v2":0.3120725565062686,"ArXivHierarchicalClusteringS2S":0.5898746479298997,"AILAStatutes":0.23346,"MultiHateClassification":0.5497818181818181,"MasakhaNEWSClusteringS2S":0.40468395717880457,"DalajClassification":0.5018018018018019,"T2Reranking":0.6308878145033734,"WebLINXCandidatesReranking":0.0881324022548442,"KorSarcasmClassification":0.518798828125,"NusaX-senti":0.5787083333333333,"StackExchangeClustering.v2":0.5533297004859964,"Tatoeba":0.06339663304634066,"PolEmo2.0-OUT":0.30789473684210533,"RomaniBibleClustering":0.3652122684541712,"STS22.v2":0.46598166908064237,"PoemSentimentClassification":0.5243772893772893,"IndicGenBenchFloresBitextMining":0.03712413832245025},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":110,"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":{"Classification":0.47567815935517976,"Clustering":0.40474013723146296,"PairClassification":0.7153562955940136,"Reranking":0.43250621874999995,"Retrieval":0.3722359585976826,"InstructionReranking":-0.027530000000000002,"BitextMining":0.23364391297563897,"MultilabelClassification":0.1679058},"scoresByTask":{"ScalaClassification":0.501294,"IndonesianIdClickbaitClassification":0.561988,"SICK-R":0.8053174518259548,"SCIDOCS":0.21889,"PunjabiNewsClassification":0.599363,"AlloProfClusteringS2S.v2":0.318466,"SlovakMovieReviewSentimentClassification":0.555127,"WikipediaRerankingMultilingual":0.6965628125,"NTREXBitextMining":0.17839102922755742,"NusaParagraphEmotionClassification":0.273555,"MassiveIntentClassification":0.26833833333333335,"STS13":0.8626355088415221,"CyrillicTurkicLangClassification":0.645654,"CSFDSKMovieReviewSentimentClassification":0.216992,"XNLI":0.5986285,"CEDRClassification":0.353879,"WinoGrande":0.3444,"IN22GenBitextMining":0.034746,"NusaTranslationBitextMining":0.6107186363636363,"TwitterURLCorpus":0.8534184508966621,"PpcPC":0.687536,"TwitterHjerneRetrieval":0.15084,"MalteseNewsClassification":0.227253,"STS12":0.7556589127055523,"LEMBPasskeyRetrieval":0.2675,"BUCC.v2":0.14688475,"SwahiliNewsClassification":0.495068,"BiorxivClusteringP2P.v2":0.421505,"STS14":0.8229883673695083,"BornholmBitextMining":0.311305,"FaroeseSTS":0.638349,"WikiCitiesClustering":0.809841,"NusaXBitextMining":0.22509154545454546,"STSBenchmark":0.8707819121764246,"StackOverflowQA":0.74494,"MultiEURLEXMultilabelClassification":0.02422,"NorwegianCourtsBitextMining":0.922515,"PlscClusteringP2P.v2":0.667187,"ToxicConversationsClassification":0.7280239999999999,"BrazilianToxicTweetsClassification":0.198291,"IndicLangClassification":0.386501,"News21InstructionRetrieval":-0.011994,"GujaratiNewsClassification":0.438771,"SiswatiNewsClassification":0.51625,"NollySentiBitextMining":0.27400425,"STS15":0.887364409031183,"TempReasonL1":0.01447,"MedrxivClusteringP2P.v2":0.377786,"TRECCOVID":0.6914,"NepaliNewsClassification":0.420996,"ArmenianParaphrasePC":0.875862,"AmazonCounterfactualClassification":0.656036375,"KorHateSpeechMLClassification":0.035886,"BelebeleRetrieval":0.25004784574468086,"AlloprofReranking":0.610312,"NordicLangClassification":0.514467,"StatcanDialogueDatasetRetrieval":0.249085,"RuBQReranking":0.311847,"STSES":0.712607,"WikiClusteringP2P.v2":0.24918392857142857,"FinParaSTS":0.132524,"OpusparcusPC":0.8752980833333334,"CataloniaTweetClassification":0.46831325,"GermanSTSBenchmark":0.6673235,"SwissJudgementClassification":0.5541333333333333,"MLQARetrieval":0.18040336734693876,"SwednClusteringP2P":0.2937345,"DBpediaClassification":0.825586,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.288296,"WikipediaRetrievalMultilingual":0.461924375,"ArguAna":0.5912,"MIRACLRetrievalHardNegatives":0.10569666666666667,"IsiZuluNewsClassification":0.230585,"DiaBlaBitextMining":0.113369,"LegalBenchCorporateLobbying":0.91446,"EstonianValenceClassification":0.293765,"SinhalaNewsClassification":0.383398,"SprintDuplicateQuestions":0.9589733601612964,"CovidRetrieval":0.16297,"IndicCrosslingualSTS":-0.0160185,"Core17InstructionRetrieval":-0.001142,"RTE3":0.860205,"BibleNLPBitextMining":0.011757882246376812,"AfriSentiClassification":0.3911035,"PAC":0.595337,"VoyageMMarcoReranking":0.274871,"GreekLegalCodeClassification":0.02583,"KurdishSentimentClassification":0.594162,"Robust04InstructionRetrieval":-0.069454,"TERRa":0.444718,"indonli":0.480635,"SpartQA":0.04807,"SentimentAnalysisHindi":0.339683,"ItaCaseholdClassification":0.613122,"OdiaNewsClassification":0.593262,"MasakhaNEWSClassification":0.6376115,"FinancialPhrasebankClassification":0.815504,"ArXivHierarchicalClusteringP2P":0.596633,"CLSClusteringP2P.v2":0.189324,"CTKFactsNLI":0.70642,"JSICK":0.655528,"STSB":0.46004,"FloresBitextMining":0.12158652108084612,"MacedonianTweetSentimentClassification":0.344688,"TweetTopicSingleClassification":0.728411,"SIB200ClusteringS2S":0.09047714213197969,"HALClusteringS2S.v2":0.223401,"BulgarianStoreReviewSentimentClassfication":0.344505,"CzechProductReviewSentimentClassification":0.437646,"PawsXPairClassification":0.5272248571428572,"FilipinoShopeeReviewsClassification":0.298926,"SemRel24STS":0.3727591666666667,"BigPatentClustering.v2":0.311608,"ArXivHierarchicalClusteringS2S":0.571498,"AILAStatutes":0.31626,"MultiHateClassification":0.5423727272727272,"MasakhaNEWSClusteringS2S":0.391380625,"DalajClassification":0.503716,"T2Reranking":0.617536,"WebLINXCandidatesReranking":0.0839085,"KorSarcasmClassification":0.53208,"NusaX-senti":0.5485208333333333,"StackExchangeClustering.v2":0.585482,"Tatoeba":0.053071375,"PolEmo2.0-OUT":0.225101,"RomaniBibleClustering":0.378335,"STS22.v2":0.5149538888888888,"PoemSentimentClassification":0.520078,"IndicGenBenchFloresBitextMining":0.03392987931034483},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":111,"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":0.3571130345071074,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.519253179135101,"Classification":0.4839154560660595,"Clustering":0.4106094040376858,"PairClassification":0.7385989794372295,"Reranking":0.3594238055555556,"Retrieval":0.31749174559618965,"InstructionReranking":-0.03581133333333333,"BitextMining":0.252514847982522,"MultilabelClassification":0.16802122608695652},"scoresByTask":{"ScalaClassification":0.50102525,"IndonesianIdClickbaitClassification":0.570632,"SICK-R":0.813594,"SCIDOCS":0.04834,"PunjabiNewsClassification":0.673248,"AlloProfClusteringS2S.v2":0.35113,"SlovakMovieReviewSentimentClassification":0.560889,"WikipediaRerankingMultilingual":0.636732,"NTREXBitextMining":0.21182684916492694,"NusaParagraphEmotionClassification":0.3120249,"MassiveIntentClassification":0.2793863039215686,"STS13":0.848021,"CyrillicTurkicLangClassification":0.174512,"CSFDSKMovieReviewSentimentClassification":0.221094,"XNLI":0.5826512142857142,"CEDRClassification":0.358077,"WinoGrande":0.12949,"IN22GenBitextMining":0.07423244466403162,"NusaTranslationBitextMining":0.6483155454545454,"TwitterURLCorpus":0.841692,"PpcPC":0.935626,"TwitterHjerneRetrieval":0.22679,"MalteseNewsClassification":0.222682,"STS12":0.803478,"LEMBPasskeyRetrieval":0.32,"BUCC.v2":0.21793825,"SwahiliNewsClassification":0.564648,"BiorxivClusteringP2P.v2":0.436246,"STS14":0.816639,"BornholmBitextMining":0.301663,"FaroeseSTS":0.655724,"WikiCitiesClustering":0.827028,"NusaXBitextMining":0.22488354545454545,"STSBenchmark":0.850874,"StackOverflowQA":0.74863,"MultiEURLEXMultilabelClassification":0.03137913043478261,"NorwegianCourtsBitextMining":0.905263,"PlscClusteringP2P.v2":0.714336,"ToxicConversationsClassification":0.666943,"BrazilianToxicTweetsClassification":0.175391,"IndicLangClassification":0.155115,"News21InstructionRetrieval":0.003559,"GujaratiNewsClassification":0.477162,"SiswatiNewsClassification":0.72125,"STS17":0.3681267272727273,"NollySentiBitextMining":0.28800325000000004,"STS15":0.858572,"TempReasonL1":0.01019,"MedrxivClusteringP2P.v2":0.386568,"TRECCOVID":0.3747,"NepaliNewsClassification":0.506201,"ArmenianParaphrasePC":0.83149,"AmazonCounterfactualClassification":0.6500345,"KorHateSpeechMLClassification":0.052577,"BelebeleRetrieval":0.25075244680851067,"AlloprofReranking":0.591793,"NordicLangClassification":0.496667,"StatcanDialogueDatasetRetrieval":0.23905,"RuBQReranking":0.153068,"STSES":0.729918,"WikiClusteringP2P.v2":0.2538897142857143,"FinParaSTS":0.064315,"OpusparcusPC":0.8618404166666668,"CataloniaTweetClassification":0.46899575,"GermanSTSBenchmark":0.6235135,"SwissJudgementClassification":0.5534123333333333,"MLQARetrieval":0.16621091836734694,"SwednClusteringP2P":0.288779,"DBpediaClassification":0.850342,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.273511,"WikipediaRetrievalMultilingual":0.3987725,"ArguAna":0.61904,"MIRACLRetrievalHardNegatives":0.04403555555555555,"IsiZuluNewsClassification":0.241223,"DiaBlaBitextMining":0.102784,"LegalBenchCorporateLobbying":0.91546,"EstonianValenceClassification":0.293399,"SinhalaNewsClassification":0.3896,"SprintDuplicateQuestions":0.964769,"CovidRetrieval":0.00171,"IndicCrosslingualSTS":0.06280941666666667,"Core17InstructionRetrieval":-0.0304,"RTE3":0.880719,"BibleNLPBitextMining":0.014218204710144927,"AfriSentiClassification":0.41009125,"PAC":0.6469446857804807,"VoyageMMarcoReranking":0.141143,"GreekLegalCodeClassification":0.0299315,"KurdishSentimentClassification":0.599799,"Robust04InstructionRetrieval":-0.080593,"TERRa":0.478367,"indonli":0.50458,"SpartQA":0.05458,"SentimentAnalysisHindi":0.341764,"ItaCaseholdClassification":0.840271,"OdiaNewsClassification":0.610733,"MasakhaNEWSClassification":0.63984675,"FinancialPhrasebankClassification":0.799912,"ArXivHierarchicalClusteringP2P":0.608105,"CLSClusteringP2P.v2":0.106062,"CTKFactsNLI":0.7313615,"JSICK":0.02014,"STSB":0.022290000000000004,"FloresBitextMining":0.15862813413986282,"MacedonianTweetSentimentClassification":0.294557,"TweetTopicSingleClassification":0.733786,"SIB200ClusteringS2S":0.10542718781725888,"HALClusteringS2S.v2":0.249619,"BulgarianStoreReviewSentimentClassfication":0.291209,"CzechProductReviewSentimentClassification":0.432764,"PawsXPairClassification":0.5114926428571429,"FilipinoShopeeReviewsClassification":0.2934325,"SemRel24STS":0.265458,"BigPatentClustering.v2":0.299098,"ArXivHierarchicalClusteringS2S":0.570935,"AILAStatutes":0.18016,"MultiHateClassification":0.5748090909090909,"MasakhaNEWSClusteringS2S":0.4165485625,"DalajClassification":0.501802,"T2Reranking":0.54866,"WebLINXCandidatesReranking":0.08514683333333334,"KorSarcasmClassification":0.524268,"NusaX-senti":0.5751458333333334,"StackExchangeClustering.v2":0.580577,"Tatoeba":0.07892745535714285,"PolEmo2.0-OUT":0.537246963562753,"RomaniBibleClustering":0.375402,"STS22.v2":0.5045782222222223,"PoemSentimentClassification":0.528736,"IndicGenBenchFloresBitextMining":0.05600934482758621},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":112,"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":{"Classification":0.5057818035246445,"Clustering":0.4171702855528236,"PairClassification":0.7307539522497689,"Reranking":0.38127770833333335,"Retrieval":0.3289649099252585,"InstructionReranking":-0.027616666666666664,"BitextMining":0.2672548282655683,"MultilabelClassification":0.1550484347826087},"scoresByTask":{"ScalaClassification":0.50355225,"IndonesianIdClickbaitClassification":0.559771,"SICK-R":0.8091205372065705,"SCIDOCS":0.16603,"PunjabiNewsClassification":0.801274,"AlloProfClusteringS2S.v2":0.380702,"SlovakMovieReviewSentimentClassification":0.556445,"WikipediaRerankingMultilingual":0.63751725,"NTREXBitextMining":0.21628943528183714,"NusaParagraphEmotionClassification":0.2594973,"MassiveIntentClassification":0.3640104901960784,"STS13":0.8262953855483206,"CyrillicTurkicLangClassification":0.47793,"CSFDSKMovieReviewSentimentClassification":0.214893,"XNLI":0.6181533571428571,"CEDRClassification":0.335547,"WinoGrande":0.44185,"IN22GenBitextMining":0.11639360671936759,"NusaTranslationBitextMining":0.5003315454545455,"TwitterURLCorpus":0.8464911720373662,"PpcPC":0.73558,"TwitterHjerneRetrieval":0.03716,"MalteseNewsClassification":0.189639,"STS12":0.7697735281189987,"LEMBPasskeyRetrieval":0.24,"BUCC.v2":0.5055299999999999,"SwahiliNewsClassification":0.450879,"BiorxivClusteringP2P.v2":0.397806,"STS14":0.7783933203825716,"BornholmBitextMining":0.198057,"FaroeseSTS":0.57104,"WikiCitiesClustering":0.830741,"NusaXBitextMining":0.1573770909090909,"STSBenchmark":0.842021805427655,"StackOverflowQA":0.59339,"MultiEURLEXMultilabelClassification":0.03311217391304348,"NorwegianCourtsBitextMining":0.807749,"PlscClusteringP2P.v2":0.667268,"ToxicConversationsClassification":0.6748099999999999,"BrazilianToxicTweetsClassification":0.17124,"IndicLangClassification":0.350967,"News21InstructionRetrieval":-0.004757,"GujaratiNewsClassification":0.790288,"SiswatiNewsClassification":0.60125,"NollySentiBitextMining":0.22586450000000002,"STS15":0.8591807216993299,"TempReasonL1":0.01872,"MedrxivClusteringP2P.v2":0.394704,"TRECCOVID":0.451,"NepaliNewsClassification":0.852686,"ArmenianParaphrasePC":0.912386,"AmazonCounterfactualClassification":0.634944375,"KorHateSpeechMLClassification":0.045704,"BelebeleRetrieval":0.3045707978723404,"AlloprofReranking":0.587912,"NordicLangClassification":0.504633,"StatcanDialogueDatasetRetrieval":0.1693975,"RuBQReranking":0.217596,"STSES":0.651527,"WikiClusteringP2P.v2":0.255906,"FinParaSTS":0.0251995,"OpusparcusPC":0.8639115833333334,"CataloniaTweetClassification":0.46363775,"GermanSTSBenchmark":0.8146205,"SwissJudgementClassification":0.5601046666666667,"MLQARetrieval":0.33876612244897963,"SwednClusteringP2P":0.24374449999999998,"DBpediaClassification":0.913525,"HagridRetrieval":0.98668,"TswanaNewsClassification":0.228747,"WikipediaRetrievalMultilingual":0.400390625,"ArguAna":0.52035,"MIRACLRetrievalHardNegatives":0.10544333333333333,"IsiZuluNewsClassification":0.220346,"DiaBlaBitextMining":0.073277,"LegalBenchCorporateLobbying":0.88066,"EstonianValenceClassification":0.316137,"SinhalaNewsClassification":0.513232,"SprintDuplicateQuestions":0.9067883265196162,"CovidRetrieval":0.00053,"IndicCrosslingualSTS":0.09566358333333334,"Core17InstructionRetrieval":3e-6,"RTE3":0.89224125,"BibleNLPBitextMining":0.016006878623188406,"AfriSentiClassification":0.39400908333333334,"PAC":0.60084,"VoyageMMarcoReranking":0.219123,"GreekLegalCodeClassification":0.0861085,"KurdishSentimentClassification":0.653749,"Robust04InstructionRetrieval":-0.078096,"TERRa":0.485974,"indonli":0.509622,"SpartQA":0.07173,"SentimentAnalysisHindi":0.465862,"ItaCaseholdClassification":0.623077,"OdiaNewsClassification":0.615861,"MasakhaNEWSClassification":0.6225705,"FinancialPhrasebankClassification":0.780698,"ArXivHierarchicalClusteringP2P":0.585614,"CLSClusteringP2P.v2":0.29018,"CTKFactsNLI":0.7354125,"JSICK":0.576237,"STSB":0.31426699999999996,"FloresBitextMining":0.1353957668067227,"MacedonianTweetSentimentClassification":0.398859,"TweetTopicSingleClassification":0.702422,"SIB200ClusteringS2S":0.12636475634517766,"HALClusteringS2S.v2":0.225838,"BulgarianStoreReviewSentimentClassfication":0.33956,"CzechProductReviewSentimentClassification":0.434277,"PawsXPairClassification":0.5317332857142857,"FilipinoShopeeReviewsClassification":0.2671875,"SemRel24STS":0.3988678333333333,"BigPatentClustering.v2":0.442977,"ArXivHierarchicalClusteringS2S":0.542086,"AILAStatutes":0.1947,"MultiHateClassification":0.5568636363636363,"MasakhaNEWSClusteringS2S":0.3912873125,"DalajClassification":0.500338,"T2Reranking":0.525604,"WebLINXCandidatesReranking":0.099914,"KorSarcasmClassification":0.541992,"NusaX-senti":0.57425,"StackExchangeClustering.v2":0.526949,"Tatoeba":0.23087136607142858,"PolEmo2.0-OUT":0.30668,"RomaniBibleClustering":0.372557,"STS22.v2":0.520559,"PoemSentimentClassification":0.46985350000000004,"IndicGenBenchFloresBitextMining":0.29116957758620693},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":113,"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":{"STS":0.6932187426540617,"Clustering":0.35328697544076326,"PairClassification":0.7779673216193309,"Reranking":0.46333103819444443,"Retrieval":0.2698766574345459,"InstructionReranking":-0.03968866666666667,"BitextMining":0.39503383052494523,"MultilabelClassification":0.1422205652173913},"scoresByTask":{"ScalaClassification":0.5010375,"IndonesianIdClickbaitClassification":0.546792,"SICK-R":0.7997373018384307,"SCIDOCS":0.09802,"PunjabiNewsClassification":0.769427,"AlloProfClusteringS2S.v2":0.293119,"SlovakMovieReviewSentimentClassification":0.60459,"WikipediaRerankingMultilingual":0.6474180625,"NTREXBitextMining":0.43260696711899793,"NusaParagraphEmotionClassification":0.3041464,"MassiveIntentClassification":0.5199097352941177,"STS13":0.8286479010707746,"CyrillicTurkicLangClassification":0.331494,"CSFDSKMovieReviewSentimentClassification":0.255322,"XNLI":0.7405241428571429,"CEDRClassification":0.363656,"WinoGrande":0.31609,"IN22GenBitextMining":0.07123898221343875,"NusaTranslationBitextMining":0.3324251818181818,"TwitterURLCorpus":0.8345540469219863,"PpcPC":0.909729,"TwitterHjerneRetrieval":0.18691,"MalteseNewsClassification":0.056378,"STS12":0.8091314664846955,"LEMBPasskeyRetrieval":0.1325,"BUCC.v2":0.95642825,"SwahiliNewsClassification":0.507031,"BiorxivClusteringP2P.v2":0.313771,"STS14":0.8736399473803172,"BornholmBitextMining":0.174283,"FaroeseSTS":0.637119,"WikiCitiesClustering":0.604727,"NusaXBitextMining":0.31721636363636363,"STSBenchmark":0.8644881302053585,"StackOverflowQA":0.32472,"MultiEURLEXMultilabelClassification":0.02796782608695652,"NorwegianCourtsBitextMining":0.799708,"PlscClusteringP2P.v2":0.701101,"ToxicConversationsClassification":0.6596839999999999,"BrazilianToxicTweetsClassification":0.205762,"IndicLangClassification":0.320797,"News21InstructionRetrieval":-0.020953,"GujaratiNewsClassification":0.694992,"SiswatiNewsClassification":0.61125,"STS17":0.7984178599073626,"NollySentiBitextMining":0.21319875000000002,"STS15":0.8831438033558269,"TempReasonL1":0.01476,"MedrxivClusteringP2P.v2":0.333962,"TRECCOVID":0.32101,"NepaliNewsClassification":0.753857,"ArmenianParaphrasePC":0.940509,"KorHateSpeechMLClassification":0.057339,"BelebeleRetrieval":0.2636633244680851,"AlloprofReranking":0.556827,"NordicLangClassification":0.381267,"StatcanDialogueDatasetRetrieval":0.04122,"RuBQReranking":0.476914,"STSES":0.688714,"WikiClusteringP2P.v2":0.21537871428571428,"FinParaSTS":0.22294049999999999,"OpusparcusPC":0.9355878333333334,"CataloniaTweetClassification":0.450234,"GermanSTSBenchmark":0.842214,"SwissJudgementClassification":0.5258583333333333,"MLQARetrieval":0.3082225510204082,"SwednClusteringP2P":0.172892,"DBpediaClassification":0.714355,"HagridRetrieval":0.80219,"TswanaNewsClassification":0.169199,"WikipediaRetrievalMultilingual":0.369175625,"ArguAna":0.31355,"MIRACLRetrievalHardNegatives":0.16081833333333334,"IsiZuluNewsClassification":0.217287,"DiaBlaBitextMining":0.7780959414618168,"LegalBenchCorporateLobbying":0.81558,"EstonianValenceClassification":0.362592,"SinhalaNewsClassification":0.4979,"SprintDuplicateQuestions":0.8547332647001774,"CovidRetrieval":0.15002,"IndicCrosslingualSTS":0.1944315,"Core17InstructionRetrieval":-0.027464,"RTE3":0.87663225,"BibleNLPBitextMining":0.04050092934782609,"AfriSentiClassification":0.4035545,"PAC":0.661106,"VoyageMMarcoReranking":0.38902,"GreekLegalCodeClassification":0.187769,"KurdishSentimentClassification":0.755712,"Robust04InstructionRetrieval":-0.070649,"TERRa":0.545583,"indonli":0.544114,"SpartQA":0.08546,"SentimentAnalysisHindi":0.521755,"ItaCaseholdClassification":0.50905,"OdiaNewsClassification":0.686926,"MasakhaNEWSClassification":0.515964375,"FinancialPhrasebankClassification":0.708746,"ArXivHierarchicalClusteringP2P":0.493802,"CLSClusteringP2P.v2":0.328714,"CTKFactsNLI":0.762688,"JSICK":0.788452,"STSB":0.8000655,"FloresBitextMining":0.16753049403554524,"MacedonianTweetSentimentClassification":0.561282,"TweetTopicSingleClassification":0.518901,"SIB200ClusteringS2S":0.11803351776649747,"HALClusteringS2S.v2":0.171763,"BulgarianStoreReviewSentimentClassfication":0.442857,"CzechProductReviewSentimentClassification":0.488086,"PawsXPairClassification":0.612986,"FilipinoShopeeReviewsClassification":0.2602295,"SemRel24STS":0.47552325,"BigPatentClustering.v2":0.311606,"ArXivHierarchicalClusteringS2S":0.507806,"AILAStatutes":0.15387,"MultiHateClassification":0.5687909090909091,"MasakhaNEWSClusteringS2S":0.326408375,"DalajClassification":0.500563,"T2Reranking":0.650723,"WebLINXCandidatesReranking":0.05908416666666667,"KorSarcasmClassification":0.5375,"NusaX-senti":0.5535416666666667,"StackExchangeClustering.v2":0.410218,"Tatoeba":0.5366321785714285,"PolEmo2.0-OUT":0.205061,"RomaniBibleClustering":0.34929,"STS22.v2":0.5848337222222222,"PoemSentimentClassification":0.450751,"IndicGenBenchFloresBitextMining":0.3155747586206897},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":114,"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":{"Classification":0.4718859767053228,"Clustering":0.4145381345999139,"PairClassification":0.713675626690052,"Reranking":0.46937479513888886,"Retrieval":0.3585506787074562,"InstructionReranking":-0.02449933333333333,"BitextMining":0.25303962127164437,"MultilabelClassification":0.16145012173913043},"scoresByTask":{"ScalaClassification":0.50075675,"IndonesianIdClickbaitClassification":0.557147,"SICK-R":0.7885870555294795,"SCIDOCS":0.23132000000000003,"PunjabiNewsClassification":0.609554,"AlloProfClusteringS2S.v2":0.375952,"SlovakMovieReviewSentimentClassification":0.561572,"WikipediaRerankingMultilingual":0.7378224375,"NTREXBitextMining":0.19766826513569938,"NusaParagraphEmotionClassification":0.2858675,"MassiveIntentClassification":0.2777501176470588,"STS13":0.8572991921531624,"CyrillicTurkicLangClassification":0.654883,"CSFDSKMovieReviewSentimentClassification":0.213916,"XNLI":0.5963745714285714,"CEDRClassification":0.338789,"WinoGrande":0.08359,"IN22GenBitextMining":0.0352165,"NusaTranslationBitextMining":0.636556909090909,"TwitterURLCorpus":0.8554712254033734,"PpcPC":0.663057,"TwitterHjerneRetrieval":0.07866,"MalteseNewsClassification":0.223378,"STS12":0.7571298531799368,"LEMBPasskeyRetrieval":0.31,"BUCC.v2":0.1991825,"SwahiliNewsClassification":0.496387,"BiorxivClusteringP2P.v2":0.406174,"STS14":0.8150806522502527,"BornholmBitextMining":0.321639,"FaroeseSTS":0.630901,"WikiCitiesClustering":0.872155,"NusaXBitextMining":0.28726945454545455,"STSBenchmark":0.8573266847750144,"StackOverflowQA":0.80546,"MultiEURLEXMultilabelClassification":0.023942608695652172,"NorwegianCourtsBitextMining":0.92617,"PlscClusteringP2P.v2":0.675219,"ToxicConversationsClassification":0.7161279999999999,"BrazilianToxicTweetsClassification":0.185059,"IndicLangClassification":0.371885,"News21InstructionRetrieval":0.004136,"GujaratiNewsClassification":0.408574,"SiswatiNewsClassification":0.42,"NollySentiBitextMining":0.288861,"STS15":0.8881032027008194,"TempReasonL1":0.0122,"MedrxivClusteringP2P.v2":0.364043,"TRECCOVID":0.68783,"NepaliNewsClassification":0.396631,"ArmenianParaphrasePC":0.863919,"AmazonCounterfactualClassification":0.657710375,"KorHateSpeechMLClassification":0.036082,"BelebeleRetrieval":0.29971271276595746,"AlloprofReranking":0.665411,"NordicLangClassification":0.5357,"StatcanDialogueDatasetRetrieval":0.11523,"RuBQReranking":0.402726,"STSES":0.723831,"WikiClusteringP2P.v2":0.24802957142857143,"FinParaSTS":0.126613,"OpusparcusPC":0.8723407499999999,"CataloniaTweetClassification":0.47331625,"GermanSTSBenchmark":0.690791,"SwissJudgementClassification":0.523721,"MLQARetrieval":0.21160714285714285,"SwednClusteringP2P":0.28625449999999997,"DBpediaClassification":0.829199,"HagridRetrieval":0.98632,"TswanaNewsClassification":0.273511,"WikipediaRetrievalMultilingual":0.55542125,"ArguAna":0.57122,"MIRACLRetrievalHardNegatives":0.1444311111111111,"IsiZuluNewsClassification":0.23125,"DiaBlaBitextMining":0.143042,"LegalBenchCorporateLobbying":0.91814,"EstonianValenceClassification":0.300856,"SinhalaNewsClassification":0.352832,"SprintDuplicateQuestions":0.9572927039014849,"CovidRetrieval":0.19123,"IndicCrosslingualSTS":0.056757166666666664,"Core17InstructionRetrieval":-0.026231,"RTE3":0.854939,"BibleNLPBitextMining":0.017493384057971014,"AfriSentiClassification":0.36340516666666667,"PAC":0.625891,"VoyageMMarcoReranking":0.313557,"GreekLegalCodeClassification":0.031152,"KurdishSentimentClassification":0.572572,"Robust04InstructionRetrieval":-0.051403,"TERRa":0.469215,"indonli":0.479945,"SpartQA":0.02879,"SentimentAnalysisHindi":0.343758,"ItaCaseholdClassification":0.697285,"OdiaNewsClassification":0.49479,"MasakhaNEWSClassification":0.6167936875,"FinancialPhrasebankClassification":0.818993,"ArXivHierarchicalClusteringP2P":0.593139,"CLSClusteringP2P.v2":0.219676,"CTKFactsNLI":0.7081575,"JSICK":0.643867,"STSB":0.459048,"FloresBitextMining":0.13656865483434752,"MacedonianTweetSentimentClassification":0.360053,"TweetTopicSingleClassification":0.719728,"SIB200ClusteringS2S":0.09477464467005076,"HALClusteringS2S.v2":0.245766,"BulgarianStoreReviewSentimentClassfication":0.385165,"CzechProductReviewSentimentClassification":0.439502,"PawsXPairClassification":0.5297201428571429,"FilipinoShopeeReviewsClassification":0.290454,"SemRel24STS":0.4049649166666667,"BigPatentClustering.v2":0.296037,"ArXivHierarchicalClusteringS2S":0.58284,"AILAStatutes":0.22275,"MultiHateClassification":0.5444818181818182,"MasakhaNEWSClusteringS2S":0.3941144375,"DalajClassification":0.500676,"T2Reranking":0.612007,"WebLINXCandidatesReranking":0.08472533333333333,"KorSarcasmClassification":0.525488,"NusaX-senti":0.5674583333333333,"StackExchangeClustering.v2":0.59126,"Tatoeba":0.06375985714285715,"PolEmo2.0-OUT":0.252024,"RomaniBibleClustering":0.387176,"STS22.v2":0.5144635000000001,"PoemSentimentClassification":0.49228,"IndicGenBenchFloresBitextMining":0.036087551724137926},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":115,"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":0.4409949687026109,"meanTaskType":0.37840422093514303,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5945159831067963,"Classification":0.48506522162196924,"Clustering":0.3973832111256659,"PairClassification":0.7189754515465562,"Reranking":0.4484272926500312,"Retrieval":0.34094431070517256,"InstructionReranking":-0.018476000000000003,"BitextMining":0.27090916983400926,"MultilabelClassification":0.16789334782608695},"scoresByTask":{"ScalaClassification":0.500439453125,"IndonesianIdClickbaitClassification":0.5651806726802053,"SICK-R":0.7544467557272925,"SCIDOCS":0.17629,"PunjabiNewsClassification":0.5738853503184713,"AlloProfClusteringS2S.v2":0.35589784272212277,"SlovakMovieReviewSentimentClassification":0.56435546875,"WikipediaRerankingMultilingual":0.7227982804232804,"NTREXBitextMining":0.2087788168058455,"NusaParagraphEmotionClassification":0.27657588940435185,"MassiveIntentClassification":0.2811682325363714,"STS13":0.807169234916371,"CyrillicTurkicLangClassification":0.665283203125,"CSFDSKMovieReviewSentimentClassification":0.230517578125,"XNLI":0.5849599591227098,"CEDRClassification":0.343305,"WinoGrande":0.46788,"IN22GenBitextMining":0.06643300592885376,"NusaTranslationBitextMining":0.6669260909090909,"TwitterURLCorpus":0.8522205028000035,"PpcPC":0.6929726300258248,"TwitterHjerneRetrieval":0.06737,"MalteseNewsClassification":0.228037,"STS12":0.7116012635813495,"LEMBPasskeyRetrieval":0.17250000000000001,"BUCC.v2":0.20233325,"SwahiliNewsClassification":0.50791015625,"BiorxivClusteringP2P.v2":0.41947123498616856,"STS14":0.7658383975698424,"BornholmBitextMining":0.474697,"FaroeseSTS":0.6812046852290111,"WikiCitiesClustering":0.7943921043303649,"NusaXBitextMining":0.30311227272727276,"STSBenchmark":0.8139924460748615,"StackOverflowQA":0.63621,"MultiEURLEXMultilabelClassification":0.021441739130434782,"NorwegianCourtsBitextMining":0.922515,"PlscClusteringP2P.v2":0.6633484374913852,"ToxicConversationsClassification":0.67177734375,"BrazilianToxicTweetsClassification":0.191455,"IndicLangClassification":0.4784502597146426,"News21InstructionRetrieval":0.03145,"GujaratiNewsClassification":0.42116843702579665,"SiswatiNewsClassification":0.46875,"STS17":0.46242069116675305,"NollySentiBitextMining":0.29565625,"STS15":0.8523035009567322,"TempReasonL1":0.01706,"MedrxivClusteringP2P.v2":0.3804370276490524,"TRECCOVID":0.63436,"NepaliNewsClassification":0.6,"ArmenianParaphrasePC":0.8873975412104699,"AmazonCounterfactualClassification":0.6488479297713661,"KorHateSpeechMLClassification":0.055228,"BelebeleRetrieval":0.25979734042553193,"AlloprofReranking":0.5936580868606335,"NordicLangClassification":0.5163666666666666,"StatcanDialogueDatasetRetrieval":0.12760749999999998,"RuBQReranking":0.365334896706144,"STSES":0.7157862019177685,"WikiClusteringP2P.v2":0.2495719363858869,"FinParaSTS":0.11762822046046062,"OpusparcusPC":0.8814792216739223,"CataloniaTweetClassification":0.47997821362289345,"GermanSTSBenchmark":0.6959612470126179,"SwissJudgementClassification":0.5486351376488096,"MLQARetrieval":0.16999122448979592,"SwednClusteringP2P":0.24795576277620987,"DBpediaClassification":0.9095703125,"HagridRetrieval":0.98545,"TswanaNewsClassification":0.2806981519507187,"WikipediaRetrievalMultilingual":0.50695875,"ArguAna":0.52018,"MIRACLRetrievalHardNegatives":0.08774277777777778,"IsiZuluNewsClassification":0.22380319148936173,"DiaBlaBitextMining":0.14038,"LegalBenchCorporateLobbying":0.92189,"EstonianValenceClassification":0.29229828850855744,"SinhalaNewsClassification":0.369873046875,"SprintDuplicateQuestions":0.9598024920069808,"CovidRetrieval":0.13109,"IndicCrosslingualSTS":0.07701696631931629,"Core17InstructionRetrieval":-0.021977,"RTE3":0.8512572448206276,"BibleNLPBitextMining":0.017341138285024156,"AfriSentiClassification":0.3756616143427105,"PAC":0.6710686359687229,"VoyageMMarcoReranking":0.29258988556309606,"GreekLegalCodeClassification":0.026708984375,"KurdishSentimentClassification":0.5933568193256165,"Robust04InstructionRetrieval":-0.064901,"TERRa":0.4714138621014874,"indonli":0.47852342051885777,"SpartQA":0.06303,"SentimentAnalysisHindi":0.4015303950756207,"ItaCaseholdClassification":0.5538461538461539,"OdiaNewsClassification":0.5892900025601915,"MasakhaNEWSClassification":0.6211103071574202,"FinancialPhrasebankClassification":0.8421819787985866,"ArXivHierarchicalClusteringP2P":0.6008051520875409,"CLSClusteringP2P.v2":0.1909070026594335,"CTKFactsNLI":0.7076697820073804,"JSICK":0.690603414729546,"STSB":0.4193086883969097,"FloresBitextMining":0.1335938062155897,"MacedonianTweetSentimentClassification":0.35434591747146615,"TweetTopicSingleClassification":0.6834613112817484,"SIB200ClusteringS2S":0.08207832637484624,"HALClusteringS2S.v2":0.22146048132761015,"BulgarianStoreReviewSentimentClassfication":0.3302197802197802,"CzechProductReviewSentimentClassification":0.449267578125,"PawsXPairClassification":0.5410333107238539,"FilipinoShopeeReviewsClassification":0.29279785156250004,"SemRel24STS":0.4354766000733399,"BigPatentClustering.v2":0.2562363238859456,"ArXivHierarchicalClusteringS2S":0.5538342532333089,"AILAStatutes":0.19159,"MultiHateClassification":0.5583272727272728,"MasakhaNEWSClusteringS2S":0.36156223444570884,"DalajClassification":0.5012387387387388,"T2Reranking":0.6109359663189391,"WebLINXCandidatesReranking":0.10524664002809374,"KorSarcasmClassification":0.545751953125,"NusaX-senti":0.5774583333333333,"StackExchangeClustering.v2":0.6046466288318849,"Tatoeba":0.05832448214285714,"PolEmo2.0-OUT":0.24433198380566798,"RomaniBibleClustering":0.3755266288231841,"STS22.v2":0.5114974155765681,"PoemSentimentClassification":0.5703159340659341,"IndicGenBenchFloresBitextMining":0.031728094827586206},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":116,"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":{"Classification":0.4777079040920491,"Clustering":0.3868909855732188,"PairClassification":0.7181728377516774,"Reranking":0.41486966319444446,"Retrieval":0.3768691814722343,"InstructionReranking":-0.034868,"BitextMining":0.29547724550459953,"MultilabelClassification":0.16138224347826086},"scoresByTask":{"ScalaClassification":0.49907250000000003,"IndonesianIdClickbaitClassification":0.579899,"SICK-R":0.7966419880841734,"SCIDOCS":0.1899,"PunjabiNewsClassification":0.549045,"AlloProfClusteringS2S.v2":0.354399,"SlovakMovieReviewSentimentClassification":0.557715,"WikipediaRerankingMultilingual":0.7307373125,"NTREXBitextMining":0.24868501931106474,"NusaParagraphEmotionClassification":0.29732159999999996,"MassiveIntentClassification":0.28848203921568627,"STS13":0.8331401180333396,"CyrillicTurkicLangClassification":0.519287,"CSFDSKMovieReviewSentimentClassification":0.222705,"XNLI":0.59756875,"CEDRClassification":0.333209,"WinoGrande":0.51983,"IN22GenBitextMining":0.054693517786561265,"NusaTranslationBitextMining":0.7179084545454546,"TwitterURLCorpus":0.8597819287477351,"PpcPC":0.668106,"TwitterHjerneRetrieval":0.16781,"MalteseNewsClassification":0.214628,"STS12":0.7421899903211739,"LEMBPasskeyRetrieval":0.35,"BUCC.v2":0.24906224999999999,"SwahiliNewsClassification":0.49751,"BiorxivClusteringP2P.v2":0.374893,"STS14":0.7852252410630708,"BornholmBitextMining":0.40086,"FaroeseSTS":0.679557,"WikiCitiesClustering":0.802858,"NusaXBitextMining":0.36081718181818184,"STSBenchmark":0.8618102563389962,"StackOverflowQA":0.81659,"MultiEURLEXMultilabelClassification":0.02970521739130435,"NorwegianCourtsBitextMining":0.932749,"PlscClusteringP2P.v2":0.677412,"ToxicConversationsClassification":0.74117,"BrazilianToxicTweetsClassification":0.179492,"IndicLangClassification":0.430827,"News21InstructionRetrieval":-0.021684,"GujaratiNewsClassification":0.430273,"SiswatiNewsClassification":0.46125,"NollySentiBitextMining":0.31002125,"STS15":0.8834876527774259,"TempReasonL1":0.01532,"MedrxivClusteringP2P.v2":0.346347,"TRECCOVID":0.7963799999999999,"NepaliNewsClassification":0.425146,"ArmenianParaphrasePC":0.878075,"AmazonCounterfactualClassification":0.681531625,"KorHateSpeechMLClassification":0.049877,"BelebeleRetrieval":0.29298090425531914,"AlloprofReranking":0.629168,"NordicLangClassification":0.5934,"StatcanDialogueDatasetRetrieval":0.10786500000000002,"RuBQReranking":0.218047,"STSES":0.760396,"WikiClusteringP2P.v2":0.24268421428571427,"FinParaSTS":0.1281795,"OpusparcusPC":0.8837105,"CataloniaTweetClassification":0.4653305,"GermanSTSBenchmark":0.6953145000000001,"SwissJudgementClassification":0.5323213333333333,"MLQARetrieval":0.20333561224489796,"SwednClusteringP2P":0.2591495,"DBpediaClassification":0.893066,"HagridRetrieval":0.98471,"TswanaNewsClassification":0.252977,"WikipediaRetrievalMultilingual":0.56395875,"ArguAna":0.51411,"MIRACLRetrievalHardNegatives":0.140755,"IsiZuluNewsClassification":0.245346,"DiaBlaBitextMining":0.229953,"LegalBenchCorporateLobbying":0.89475,"EstonianValenceClassification":0.301345,"SinhalaNewsClassification":0.378076,"SprintDuplicateQuestions":0.9487673936635739,"CovidRetrieval":0.0164,"IndicCrosslingualSTS":0.01589516666666667,"Core17InstructionRetrieval":-0.024069,"RTE3":0.8588545,"BibleNLPBitextMining":0.020559020531400966,"AfriSentiClassification":0.3957765833333333,"PAC":0.626383,"VoyageMMarcoReranking":0.251106,"GreekLegalCodeClassification":0.0223385,"KurdishSentimentClassification":0.592954,"Robust04InstructionRetrieval":-0.058851,"TERRa":0.464249,"indonli":0.482172,"SpartQA":0.03173,"SentimentAnalysisHindi":0.379638,"ItaCaseholdClassification":0.636199,"OdiaNewsClassification":0.595949,"MasakhaNEWSClassification":0.6147369375,"FinancialPhrasebankClassification":0.791034,"ArXivHierarchicalClusteringP2P":0.5516,"CLSClusteringP2P.v2":0.159282,"CTKFactsNLI":0.7272460000000001,"JSICK":0.582531,"STSB":0.37654849999999995,"FloresBitextMining":0.18004886979619433,"MacedonianTweetSentimentClassification":0.322212,"TweetTopicSingleClassification":0.685529,"SIB200ClusteringS2S":0.09417049238578681,"HALClusteringS2S.v2":0.220842,"BulgarianStoreReviewSentimentClassfication":0.367582,"CzechProductReviewSentimentClassification":0.454102,"PawsXPairClassification":0.5313701428571428,"FilipinoShopeeReviewsClassification":0.287671,"SemRel24STS":0.3867500833333333,"BigPatentClustering.v2":0.250609,"ArXivHierarchicalClusteringS2S":0.549871,"AILAStatutes":0.17722,"MultiHateClassification":0.5522090909090909,"MasakhaNEWSClusteringS2S":0.3817725625,"DalajClassification":0.497072,"T2Reranking":0.574347,"WebLINXCandidatesReranking":0.08581266666666666,"KorSarcasmClassification":0.545557,"NusaX-senti":0.5817291666666667,"StackExchangeClustering.v2":0.542585,"Tatoeba":0.08107195535714286,"PolEmo2.0-OUT":0.220445,"RomaniBibleClustering":0.381781,"STS22.v2":0.5100597222222222,"PoemSentimentClassification":0.529226,"IndicGenBenchFloresBitextMining":0.05477467241379311},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":117,"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":0.44473374933408233,"meanTaskType":0.3797151479688635,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5986546788718536,"Classification":0.480735794274148,"Clustering":0.3752865668794403,"PairClassification":0.7212531388709587,"Reranking":0.4443565767704942,"Retrieval":0.39381258695381227,"InstructionReranking":-0.028502,"BitextMining":0.2803978222610326,"MultilabelClassification":0.15144116683803205},"scoresByTask":{"ScalaClassification":0.501611328125,"IndonesianIdClickbaitClassification":0.5600493061816852,"SICK-R":0.792507216483598,"SCIDOCS":0.17714,"PunjabiNewsClassification":0.5745222929936304,"AlloProfClusteringS2S.v2":0.29482130747312346,"SlovakMovieReviewSentimentClassification":0.549658203125,"WikipediaRerankingMultilingual":0.7324946593915344,"NTREXBitextMining":0.2385083110292525,"NusaParagraphEmotionClassification":0.28485585324431334,"MassiveIntentClassification":0.2884261970885975,"STS13":0.8231720264513166,"CyrillicTurkicLangClassification":0.651806640625,"CSFDSKMovieReviewSentimentClassification":0.2177734375,"XNLI":0.6102729926829361,"CEDRClassification":0.3549946865037195,"WinoGrande":0.48562,"IN22GenBitextMining":0.06757130464822607,"NusaTranslationBitextMining":0.7111474129890738,"TwitterURLCorpus":0.859557793642612,"PpcPC":0.7190144000788568,"TwitterHjerneRetrieval":0.30469,"MalteseNewsClassification":0.15441880713974748,"STS12":0.737079788758814,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.2054008995567338,"SwahiliNewsClassification":0.507763671875,"BiorxivClusteringP2P.v2":0.37464846514243255,"STS14":0.8006919084564517,"BornholmBitextMining":0.40004206349206345,"FaroeseSTS":0.700810874426783,"WikiCitiesClustering":0.8170551340159667,"NusaXBitextMining":0.29333300741488033,"STSBenchmark":0.8491603276683479,"StackOverflowQA":0.8353,"MultiEURLEXMultilabelClassification":0.025624347826086958,"NorwegianCourtsBitextMining":0.9078947368421053,"PlscClusteringP2P.v2":0.6528197210308306,"ToxicConversationsClassification":0.6373046875,"BrazilianToxicTweetsClassification":0.176708984375,"IndicLangClassification":0.4734006180550989,"News21InstructionRetrieval":-0.017201,"GujaratiNewsClassification":0.42314112291350536,"SiswatiNewsClassification":0.4462499999999999,"STS17":0.3476703201059355,"NollySentiBitextMining":0.31328135632699833,"STS15":0.8720998142742838,"TempReasonL1":0.0151,"MedrxivClusteringP2P.v2":0.3480660307591203,"TRECCOVID":0.74373,"NepaliNewsClassification":0.541845703125,"ArmenianParaphrasePC":0.881718475568916,"AmazonCounterfactualClassification":0.6794170523516321,"KorHateSpeechMLClassification":0.04545900834560628,"BelebeleRetrieval":0.28173813829787236,"AlloprofReranking":0.5743378455631061,"NordicLangClassification":0.5287000000000001,"StatcanDialogueDatasetRetrieval":0.11463499999999999,"RuBQReranking":0.36709630397946547,"STSES":0.7607557603005908,"WikiClusteringP2P.v2":0.23018825235081394,"FinParaSTS":0.15429769290780737,"OpusparcusPC":0.8844073749097277,"CataloniaTweetClassification":0.4678766887234629,"GermanSTSBenchmark":0.6996631700012932,"SwissJudgementClassification":0.5599030493123974,"MLQARetrieval":0.20453551020408164,"SwednClusteringP2P":0.20805747461175703,"DBpediaClassification":0.87236328125,"HagridRetrieval":0.98772,"TswanaNewsClassification":0.2609856262833676,"WikipediaRetrievalMultilingual":0.55025125,"ArguAna":0.41794,"MIRACLRetrievalHardNegatives":0.14849666666666667,"IsiZuluNewsClassification":0.24960106382978728,"DiaBlaBitextMining":0.19990143497579874,"LegalBenchCorporateLobbying":0.91466,"EstonianValenceClassification":0.2832518337408313,"SinhalaNewsClassification":0.38330078125,"SprintDuplicateQuestions":0.9508344066205744,"CovidRetrieval":0.18663,"IndicCrosslingualSTS":0.021724887144665483,"Core17InstructionRetrieval":-0.004997,"RTE3":0.8611256521557031,"BibleNLPBitextMining":0.018061966267723044,"AfriSentiClassification":0.38088906894919744,"PAC":0.6688386909933391,"VoyageMMarcoReranking":0.3217473246492847,"GreekLegalCodeClassification":0.0221923828125,"KurdishSentimentClassification":0.5781580271766482,"Robust04InstructionRetrieval":-0.063308,"TERRa":0.4549634897825856,"indonli":0.47557514537623957,"SpartQA":0.1383,"SentimentAnalysisHindi":0.3988635263308418,"ItaCaseholdClassification":0.651131221719457,"OdiaNewsClassification":0.5495002876381295,"MasakhaNEWSClassification":0.6067190364440576,"FinancialPhrasebankClassification":0.8084363957597173,"ArXivHierarchicalClusteringP2P":0.538363445953143,"CLSClusteringP2P.v2":0.18591526429853028,"CTKFactsNLI":0.7231714020416788,"JSICK":0.6848384494860525,"STSB":0.4578418580321469,"FloresBitextMining":0.16229723596026824,"MacedonianTweetSentimentClassification":0.37875329236172084,"TweetTopicSingleClassification":0.6744831659775545,"SIB200ClusteringS2S":0.08878233843626429,"HALClusteringS2S.v2":0.19681668684293874,"BulgarianStoreReviewSentimentClassfication":0.3467032967032967,"CzechProductReviewSentimentClassification":0.44833984375,"PawsXPairClassification":0.5131433947207154,"FilipinoShopeeReviewsClassification":0.2949462890625,"SemRel24STS":0.4178052256882217,"BigPatentClustering.v2":0.31120883142670647,"ArXivHierarchicalClusteringS2S":0.5286100414159316,"AILAStatutes":0.20214,"MultiHateClassification":0.5612272727272728,"MasakhaNEWSClusteringS2S":0.3766047652548593,"DalajClassification":0.5002252252252253,"T2Reranking":0.6014494193214792,"WebLINXCandidatesReranking":0.06901390771809557,"KorSarcasmClassification":0.542041015625,"NusaX-senti":0.5653958333333333,"StackExchangeClustering.v2":0.4655300833419639,"Tatoeba":0.07309527255105056,"PolEmo2.0-OUT":0.2562753036437247,"RomaniBibleClustering":0.3870972277166621,"STS22.v2":0.4583555417633497,"PoemSentimentClassification":0.4947115384615384,"IndicGenBenchFloresBitextMining":0.054636687339249874},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":118,"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":false,"paper":false,"model card":true},"opennessScore":4,"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":null,"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":{"STS":0.612293523989899,"Classification":0.5236152765602331,"Clustering":0.37633561232097534,"PairClassification":0.7138897922077923,"Reranking":0.47389146875000004,"Retrieval":0.3786165785385273,"InstructionReranking":-0.020791333333333332,"BitextMining":0.40715040100128996,"MultilabelClassification":0.1511484347826087},"scoresByTask":{"ScalaClassification":0.5006715,"IndonesianIdClickbaitClassification":0.545987,"SICK-R":0.608512,"SCIDOCS":0.06695,"PunjabiNewsClassification":0.840127,"AlloProfClusteringS2S.v2":0.272558,"SlovakMovieReviewSentimentClassification":0.582275,"WikipediaRerankingMultilingual":0.7940908125,"NTREXBitextMining":0.42445412995824633,"NusaParagraphEmotionClassification":0.3458584,"MassiveIntentClassification":0.49527415686274506,"STS13":0.742303,"CyrillicTurkicLangClassification":0.655518,"CSFDSKMovieReviewSentimentClassification":0.237744,"XNLI":0.6172252142857142,"CEDRClassification":0.342667,"WinoGrande":0.41691,"IN22GenBitextMining":0.3052315553359684,"NusaTranslationBitextMining":0.5850589090909092,"TwitterURLCorpus":0.754543,"PpcPC":0.694775,"TwitterHjerneRetrieval":0.3721,"MalteseNewsClassification":0.136178,"STS12":0.64349,"LEMBPasskeyRetrieval":0.3525,"BUCC.v2":0.7564305,"SwahiliNewsClassification":0.595068,"BiorxivClusteringP2P.v2":0.321787,"STS14":0.697261,"BornholmBitextMining":0.303097,"FaroeseSTS":0.647274,"WikiCitiesClustering":0.664138,"NusaXBitextMining":0.36035981818181817,"STSBenchmark":0.717519,"StackOverflowQA":0.46405,"MultiEURLEXMultilabelClassification":0.03137217391304348,"NorwegianCourtsBitextMining":0.862135,"PlscClusteringP2P.v2":0.701384,"ToxicConversationsClassification":0.653564,"BrazilianToxicTweetsClassification":0.178711,"IndicLangClassification":0.426991,"News21InstructionRetrieval":-0.01031,"GujaratiNewsClassification":0.774431,"SiswatiNewsClassification":0.54,"STS17":0.6186672727272727,"NollySentiBitextMining":0.28241675,"STS15":0.793331,"TempReasonL1":0.00471,"MedrxivClusteringP2P.v2":0.321571,"TRECCOVID":0.41697,"NepaliNewsClassification":0.915088,"ArmenianParaphrasePC":0.930223,"AmazonCounterfactualClassification":0.6485725,"KorHateSpeechMLClassification":0.066814,"BelebeleRetrieval":0.42518367021276593,"AlloprofReranking":0.483225,"NordicLangClassification":0.4962,"StatcanDialogueDatasetRetrieval":0.02974,"RuBQReranking":0.469428,"STSES":0.706588,"WikiClusteringP2P.v2":0.23494728571428572,"FinParaSTS":0.097789,"OpusparcusPC":0.8816765000000001,"CataloniaTweetClassification":0.454905,"GermanSTSBenchmark":0.708329,"SwissJudgementClassification":0.540429,"MLQARetrieval":0.4142339795918367,"SwednClusteringP2P":0.322481,"DBpediaClassification":0.835693,"HagridRetrieval":0.94308,"TswanaNewsClassification":0.316222,"WikipediaRetrievalMultilingual":0.630941875,"ArguAna":0.40152,"MIRACLRetrievalHardNegatives":0.1861788888888889,"IsiZuluNewsClassification":0.253324,"DiaBlaBitextMining":0.362582,"LegalBenchCorporateLobbying":0.83281,"EstonianValenceClassification":0.332396,"SinhalaNewsClassification":0.692529,"SprintDuplicateQuestions":0.911136,"CovidRetrieval":0.4885,"IndicCrosslingualSTS":0.14809666666666668,"Core17InstructionRetrieval":-0.007909,"RTE3":0.869825,"BibleNLPBitextMining":0.03562628985507246,"AfriSentiClassification":0.3988313333333333,"PAC":0.622908,"VoyageMMarcoReranking":0.365693,"GreekLegalCodeClassification":0.1731935,"KurdishSentimentClassification":0.601912,"Robust04InstructionRetrieval":-0.044155,"TERRa":0.503342,"indonli":0.494117,"SpartQA":0.20083,"SentimentAnalysisHindi":0.43719,"ItaCaseholdClassification":0.518552,"OdiaNewsClassification":0.609392,"MasakhaNEWSClassification":0.6776000625,"FinancialPhrasebankClassification":0.624072,"ArXivHierarchicalClusteringP2P":0.492931,"CLSClusteringP2P.v2":0.344045,"CTKFactsNLI":0.7279089999999999,"JSICK":0.762142,"STSB":0.7125565,"FloresBitextMining":0.2264187184149522,"MacedonianTweetSentimentClassification":0.541703,"TweetTopicSingleClassification":0.542705,"SIB200ClusteringS2S":0.1403107614213198,"HALClusteringS2S.v2":0.147002,"BulgarianStoreReviewSentimentClassfication":0.431868,"CzechProductReviewSentimentClassification":0.468213,"PawsXPairClassification":0.468016,"FilipinoShopeeReviewsClassification":0.2817385,"SemRel24STS":0.5917523333333333,"BigPatentClustering.v2":0.320079,"ArXivHierarchicalClusteringS2S":0.512061,"AILAStatutes":0.16789,"MultiHateClassification":0.5479272727272727,"MasakhaNEWSClusteringS2S":0.37163375,"DalajClassification":0.50214,"T2Reranking":0.65022,"WebLINXCandidatesReranking":0.080692,"KorSarcasmClassification":0.545703,"NusaX-senti":0.5963541666666666,"StackExchangeClustering.v2":0.471612,"Tatoeba":0.3256497232142857,"PolEmo2.0-OUT":0.309312,"RomaniBibleClustering":0.382829,"STS22.v2":0.6010856111111111,"PoemSentimentClassification":0.4052745,"IndicGenBenchFloresBitextMining":0.46349481896551725},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","MLQARetrieval","T2Reranking"],"experiments":null},{"rank":119,"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":0.41277002507541843,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.640241158459596,"Classification":0.4859774168174564,"Clustering":0.30668004117850345,"PairClassification":0.743437488095238,"Reranking":0.49447746527777775,"Retrieval":0.41208957407440905,"InstructionReranking":-0.012445333333333336,"BitextMining":0.5061736585873793,"MultilabelClassification":0.13829875652173915},"scoresByTask":{"ScalaClassification":0.50123275,"IndonesianIdClickbaitClassification":0.520317,"SICK-R":0.683204,"SCIDOCS":0.10891,"PunjabiNewsClassification":0.671338,"AlloProfClusteringS2S.v2":0.206444,"SlovakMovieReviewSentimentClassification":0.562061,"WikipediaRerankingMultilingual":0.811353625,"NTREXBitextMining":0.4283457719206681,"NusaParagraphEmotionClassification":0.3450232,"MassiveIntentClassification":0.4635581568627451,"STS13":0.743251,"CyrillicTurkicLangClassification":0.587939,"CSFDSKMovieReviewSentimentClassification":0.239258,"XNLI":0.6476606428571429,"CEDRClassification":0.374655,"WinoGrande":0.48285,"IN22GenBitextMining":0.21427782411067192,"NusaTranslationBitextMining":0.6881628181818182,"TwitterURLCorpus":0.831149,"PpcPC":0.745729,"TwitterHjerneRetrieval":0.2482,"MalteseNewsClassification":0.052068,"STS12":0.7157,"LEMBPasskeyRetrieval":1.0,"BUCC.v2":0.96580575,"SwahiliNewsClassification":0.509863,"BiorxivClusteringP2P.v2":0.293004,"STS14":0.728186,"BornholmBitextMining":0.479781,"FaroeseSTS":0.716824,"WikiCitiesClustering":0.630435,"NusaXBitextMining":0.4867717272727273,"STSBenchmark":0.799425,"StackOverflowQA":0.50102,"MultiEURLEXMultilabelClassification":0.02769478260869565,"NorwegianCourtsBitextMining":0.935965,"PlscClusteringP2P.v2":0.629132,"ToxicConversationsClassification":0.60083,"BrazilianToxicTweetsClassification":0.197852,"IndicLangClassification":0.588507,"News21InstructionRetrieval":-0.001873,"GujaratiNewsClassification":0.497724,"SiswatiNewsClassification":0.70875,"STS17":0.7289600909090909,"NollySentiBitextMining":0.29543525,"STS15":0.825291,"TempReasonL1":0.00898,"MedrxivClusteringP2P.v2":0.276006,"TRECCOVID":0.35368,"NepaliNewsClassification":0.747803,"ArmenianParaphrasePC":0.920078,"AmazonCounterfactualClassification":0.68012575,"KorHateSpeechMLClassification":0.039224,"BelebeleRetrieval":0.3777348404255319,"AlloprofReranking":0.530797,"NordicLangClassification":0.5118,"StatcanDialogueDatasetRetrieval":0.030182499999999998,"RuBQReranking":0.52593,"STSES":0.720103,"WikiClusteringP2P.v2":0.19651035714285717,"FinParaSTS":0.1682345,"OpusparcusPC":0.9005803333333334,"CataloniaTweetClassification":0.44783775000000003,"GermanSTSBenchmark":0.7328605,"SwissJudgementClassification":0.544183,"MLQARetrieval":0.41302867346938776,"SwednClusteringP2P":0.122317,"DBpediaClassification":0.836084,"HagridRetrieval":0.97271,"TswanaNewsClassification":0.31848,"WikipediaRetrievalMultilingual":0.657781875,"ArguAna":0.44107,"MIRACLRetrievalHardNegatives":0.18841444444444444,"IsiZuluNewsClassification":0.255718,"DiaBlaBitextMining":0.750713,"LegalBenchCorporateLobbying":0.85336,"EstonianValenceClassification":0.267359,"SinhalaNewsClassification":0.322949,"SprintDuplicateQuestions":0.921152,"CovidRetrieval":0.45659,"IndicCrosslingualSTS":0.08022891666666666,"Core17InstructionRetrieval":-0.004701,"RTE3":0.89271375,"BibleNLPBitextMining":0.0506850211352657,"AfriSentiClassification":0.40455083333333336,"PAC":0.56435,"VoyageMMarcoReranking":0.384755,"GreekLegalCodeClassification":0.2820315,"KurdishSentimentClassification":0.602667,"Robust04InstructionRetrieval":-0.030762,"TERRa":0.585183,"indonli":0.511191,"SpartQA":0.15681,"SentimentAnalysisHindi":0.4469,"ItaCaseholdClassification":0.546154,"OdiaNewsClassification":0.343603,"MasakhaNEWSClassification":0.5900494374999999,"FinancialPhrasebankClassification":0.521687,"ArXivHierarchicalClusteringP2P":0.477162,"CLSClusteringP2P.v2":0.296145,"CTKFactsNLI":0.7469185,"JSICK":0.786656,"STSB":0.7181565000000001,"FloresBitextMining":0.2164078633004926,"MacedonianTweetSentimentClassification":0.445478,"TweetTopicSingleClassification":0.438925,"SIB200ClusteringS2S":0.05913661421319797,"HALClusteringS2S.v2":0.084489,"BulgarianStoreReviewSentimentClassfication":0.398352,"CzechProductReviewSentimentClassification":0.451758,"PawsXPairClassification":0.47545714285714286,"FilipinoShopeeReviewsClassification":0.2923585,"SemRel24STS":0.5242039166666667,"BigPatentClustering.v2":0.295099,"ArXivHierarchicalClusteringS2S":0.398134,"AILAStatutes":0.16629,"MultiHateClassification":0.5564545454545455,"MasakhaNEWSClusteringS2S":0.3060616875,"DalajClassification":0.500788,"T2Reranking":0.649287,"WebLINXCandidatesReranking":0.06474216666666667,"KorSarcasmClassification":0.53457,"NusaX-senti":0.5460625,"StackExchangeClustering.v2":0.3057,"Tatoeba":0.5019810357142858,"PolEmo2.0-OUT":0.382996,"RomaniBibleClustering":0.331105,"STS22.v2":0.5725741111111111,"PoemSentimentClassification":0.318553,"IndicGenBenchFloresBitextMining":0.5659255},"scoresByCustomGroup":{},"trainedOnTasks":["StackExchangeClustering.v2"],"experiments":null},{"rank":120,"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":0.4376400296570559,"meanTaskType":0.37723584689188505,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5972871458070028,"Classification":0.4736517051587477,"Clustering":0.3993423492880546,"PairClassification":0.7155965762454992,"Reranking":0.4588698804941682,"Retrieval":0.3625633088383107,"InstructionReranking":-0.018633999999999998,"BitextMining":0.2363126474995303,"MultilabelClassification":0.17013300869565218},"scoresByTask":{"ScalaClassification":0.501025390625,"IndonesianIdClickbaitClassification":0.5639916988838966,"SICK-R":0.7940992826837397,"SCIDOCS":0.20518,"PunjabiNewsClassification":0.5777070063694267,"AlloProfClusteringS2S.v2":0.3067617108671781,"SlovakMovieReviewSentimentClassification":0.547412109375,"WikipediaRerankingMultilingual":0.7274952215608466,"NTREXBitextMining":0.18240949523152572,"NusaParagraphEmotionClassification":0.27066686765943265,"MassiveIntentClassification":0.2779791149398715,"STS13":0.8297998550645033,"CyrillicTurkicLangClassification":0.62900390625,"CSFDSKMovieReviewSentimentClassification":0.2189453125,"XNLI":0.5999366405237894,"CEDRClassification":0.360999,"WinoGrande":0.10283,"IN22GenBitextMining":0.03767749973090534,"NusaTranslationBitextMining":0.6183770909090909,"TwitterURLCorpus":0.8483865792306811,"PpcPC":0.6999492674818802,"TwitterHjerneRetrieval":0.27246,"MalteseNewsClassification":0.242751,"STS12":0.7744334044593039,"LEMBPasskeyRetrieval":0.21,"BUCC.v2":0.15049016003580232,"SwahiliNewsClassification":0.48603515625,"BiorxivClusteringP2P.v2":0.41793127547354,"STS14":0.8183539566263665,"BornholmBitextMining":0.33918441558441553,"FaroeseSTS":0.6647008447145952,"WikiCitiesClustering":0.8095083907546541,"NusaXBitextMining":0.2293269900362092,"STSBenchmark":0.8586295017067542,"StackOverflowQA":0.78046,"MultiEURLEXMultilabelClassification":0.02651304347826087,"NorwegianCourtsBitextMining":0.9086257309941521,"PlscClusteringP2P.v2":0.647394522837319,"ToxicConversationsClassification":0.65478515625,"BrazilianToxicTweetsClassification":0.1854,"IndicLangClassification":0.4045039121572754,"News21InstructionRetrieval":-0.013238,"GujaratiNewsClassification":0.42450682852807287,"SiswatiNewsClassification":0.55,"STS17":0.3924208065628188,"NollySentiBitextMining":0.2769931491827803,"STS15":0.8726544426377639,"TempReasonL1":0.01415,"MedrxivClusteringP2P.v2":0.3666103078151083,"TRECCOVID":0.75525,"NepaliNewsClassification":0.4369140625,"ArmenianParaphrasePC":0.8769268216663345,"AmazonCounterfactualClassification":0.6480006105111805,"KorHateSpeechMLClassification":0.035002,"BelebeleRetrieval":0.25962023936170214,"AlloprofReranking":0.617357500581777,"NordicLangClassification":0.5201666666666667,"StatcanDialogueDatasetRetrieval":0.1422775,"RuBQReranking":0.38371107510545605,"STSES":0.7629930919465497,"WikiClusteringP2P.v2":0.24619892316287598,"FinParaSTS":0.1352276092243459,"OpusparcusPC":0.8736980490043131,"CataloniaTweetClassification":0.45821262351835296,"GermanSTSBenchmark":0.6693503709671311,"SwissJudgementClassification":0.5384173112941296,"MLQARetrieval":0.1892626530612245,"SwednClusteringP2P":0.2685131529583399,"DBpediaClassification":0.833496,"HagridRetrieval":0.98769,"TswanaNewsClassification":0.27063655030800826,"WikipediaRetrievalMultilingual":0.5262875,"ArguAna":0.60348,"MIRACLRetrievalHardNegatives":0.15878166666666665,"IsiZuluNewsClassification":0.23390957446808508,"DiaBlaBitextMining":0.10786820762906373,"LegalBenchCorporateLobbying":0.90315,"EstonianValenceClassification":0.2887530562347188,"SinhalaNewsClassification":0.38125,"SprintDuplicateQuestions":0.9667083203864044,"CovidRetrieval":0.14968,"IndicCrosslingualSTS":0.031963631687710777,"Core17InstructionRetrieval":0.015054,"RTE3":0.8687571621548489,"BibleNLPBitextMining":0.010501531782029483,"AfriSentiClassification":0.37298596712443266,"PAC":0.5742253113234869,"VoyageMMarcoReranking":0.30604219666574906,"GreekLegalCodeClassification":0.02978515625,"KurdishSentimentClassification":0.5945143432310015,"Robust04InstructionRetrieval":-0.057718,"TERRa":0.4415098010929563,"indonli":0.4788558544190835,"SpartQA":0.03553,"SentimentAnalysisHindi":0.3448993358771788,"ItaCaseholdClassification":0.6882352941176471,"OdiaNewsClassification":0.5886762084396301,"MasakhaNEWSClassification":0.618887257649551,"FinancialPhrasebankClassification":0.80053,"ArXivHierarchicalClusteringP2P":0.5952876517144434,"CLSClusteringP2P.v2":0.1998802391271642,"CTKFactsNLI":0.6996328514062388,"JSICK":0.6503093062307547,"STSB":0.45114746922404747,"FloresBitextMining":0.12131737334208913,"MacedonianTweetSentimentClassification":0.33555750658472344,"TweetTopicSingleClassification":0.7301240401653869,"SIB200ClusteringS2S":0.08294137615416527,"HALClusteringS2S.v2":0.2330834863594018,"BulgarianStoreReviewSentimentClassfication":0.346154,"CzechProductReviewSentimentClassification":0.447266,"PawsXPairClassification":0.5172009913339614,"FilipinoShopeeReviewsClassification":0.28935546874999996,"SemRel24STS":0.38125228666817684,"BigPatentClustering.v2":0.3042334366049125,"ArXivHierarchicalClusteringS2S":0.5787440246376474,"AILAStatutes":0.23005,"MultiHateClassification":0.5532090909090909,"MasakhaNEWSClusteringS2S":0.39273168514017404,"DalajClassification":0.49921171171171175,"T2Reranking":0.630039664997995,"WebLINXCandidatesReranking":0.08857362405318568,"KorSarcasmClassification":0.530908203125,"NusaX-senti":0.561875,"StackExchangeClustering.v2":0.5729472500253643,"Tatoeba":0.054927210310463666,"PolEmo2.0-OUT":0.24048582995951415,"RomaniBibleClustering":0.366710154976586,"STS22.v2":0.4692584725074835,"PoemSentimentClassification":0.5038186813186812,"IndicGenBenchFloresBitextMining":0.03436556272536648},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":121,"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":{"Classification":0.47276894614164905,"Clustering":0.4027671890438044,"PairClassification":0.7144358106431773,"Reranking":0.45765478819444444,"Retrieval":0.35985198505002874,"InstructionReranking":-0.015697333333333334,"BitextMining":0.2393920724088202,"MultilabelClassification":0.16265665217391306},"scoresByTask":{"ScalaClassification":0.5009155,"IndonesianIdClickbaitClassification":0.554464,"SICK-R":0.7792985224770255,"SCIDOCS":0.21382,"PunjabiNewsClassification":0.621656,"AlloProfClusteringS2S.v2":0.326709,"SlovakMovieReviewSentimentClassification":0.547852,"WikipediaRerankingMultilingual":0.7259290625,"NTREXBitextMining":0.18321058872651358,"NusaParagraphEmotionClassification":0.2773929,"MassiveIntentClassification":0.27345166666666665,"STS13":0.8508683458043946,"CyrillicTurkicLangClassification":0.649854,"CSFDSKMovieReviewSentimentClassification":0.21875,"XNLI":0.5938959642857142,"CEDRClassification":0.34644,"WinoGrande":0.13309,"IN22GenBitextMining":0.030564191699604743,"NusaTranslationBitextMining":0.6332396363636363,"TwitterURLCorpus":0.8508006075642194,"PpcPC":0.68691,"TwitterHjerneRetrieval":0.13353,"MalteseNewsClassification":0.219417,"STS12":0.7512219708517119,"LEMBPasskeyRetrieval":0.35250000000000004,"BUCC.v2":0.15745925,"SwahiliNewsClassification":0.492432,"BiorxivClusteringP2P.v2":0.413885,"STS14":0.810345329142859,"BornholmBitextMining":0.311157,"FaroeseSTS":0.639784,"WikiCitiesClustering":0.83774,"NusaXBitextMining":0.26310745454545453,"STSBenchmark":0.8557014313159492,"StackOverflowQA":0.78119,"MultiEURLEXMultilabelClassification":0.02515826086956522,"NorwegianCourtsBitextMining":0.91155,"PlscClusteringP2P.v2":0.672617,"ToxicConversationsClassification":0.7033020000000001,"BrazilianToxicTweetsClassification":0.185596,"IndicLangClassification":0.367999,"News21InstructionRetrieval":0.00392,"GujaratiNewsClassification":0.422762,"SiswatiNewsClassification":0.47875,"NollySentiBitextMining":0.29495550000000004,"STS15":0.8831966852492485,"TempReasonL1":0.01518,"MedrxivClusteringP2P.v2":0.372048,"TRECCOVID":0.6652900000000002,"NepaliNewsClassification":0.432471,"ArmenianParaphrasePC":0.875452,"AmazonCounterfactualClassification":0.653082625,"KorHateSpeechMLClassification":0.036672,"BelebeleRetrieval":0.27277037234042556,"AlloprofReranking":0.654768,"NordicLangClassification":0.528833,"StatcanDialogueDatasetRetrieval":0.0631125,"RuBQReranking":0.352335,"STSES":0.723563,"WikiClusteringP2P.v2":0.24488192857142857,"FinParaSTS":0.1435235,"OpusparcusPC":0.8745896666666666,"CataloniaTweetClassification":0.46342225,"GermanSTSBenchmark":0.6823140000000001,"SwissJudgementClassification":0.5342313333333334,"MLQARetrieval":0.1940161224489796,"SwednClusteringP2P":0.27650050000000004,"DBpediaClassification":0.826172,"HagridRetrieval":0.98694,"TswanaNewsClassification":0.289117,"WikipediaRetrievalMultilingual":0.5364656250000001,"ArguAna":0.55441,"MIRACLRetrievalHardNegatives":0.1492511111111111,"IsiZuluNewsClassification":0.2375,"DiaBlaBitextMining":0.10143,"LegalBenchCorporateLobbying":0.92007,"EstonianValenceClassification":0.287775,"SinhalaNewsClassification":0.365186,"SprintDuplicateQuestions":0.955743678558349,"CovidRetrieval":0.23535,"IndicCrosslingualSTS":0.01882025,"Core17InstructionRetrieval":0.008243,"RTE3":0.8588685,"BibleNLPBitextMining":0.014799478260869565,"AfriSentiClassification":0.37232249999999995,"PAC":0.610657,"VoyageMMarcoReranking":0.316733,"GreekLegalCodeClassification":0.029956000000000003,"KurdishSentimentClassification":0.579064,"Robust04InstructionRetrieval":-0.059255,"TERRa":0.451893,"indonli":0.477793,"SpartQA":0.02969,"SentimentAnalysisHindi":0.320169,"ItaCaseholdClassification":0.668326,"OdiaNewsClassification":0.608571,"MasakhaNEWSClassification":0.6324434999999999,"FinancialPhrasebankClassification":0.818595,"ArXivHierarchicalClusteringP2P":0.583687,"CLSClusteringP2P.v2":0.203008,"CTKFactsNLI":0.706136,"JSICK":0.658128,"STSB":0.47274399999999994,"FloresBitextMining":0.12413897995750024,"MacedonianTweetSentimentClassification":0.335996,"TweetTopicSingleClassification":0.714944,"SIB200ClusteringS2S":0.08231990862944162,"HALClusteringS2S.v2":0.220395,"BulgarianStoreReviewSentimentClassfication":0.336813,"CzechProductReviewSentimentClassification":0.446436,"PawsXPairClassification":0.5267115,"FilipinoShopeeReviewsClassification":0.2806885,"SemRel24STS":0.3703748333333334,"BigPatentClustering.v2":0.297958,"ArXivHierarchicalClusteringS2S":0.573318,"AILAStatutes":0.24066,"MultiHateClassification":0.5439909090909091,"MasakhaNEWSClusteringS2S":0.3791106875,"DalajClassification":0.498874,"T2Reranking":0.620753,"WebLINXCandidatesReranking":0.07541066666666667,"KorSarcasmClassification":0.536133,"NusaX-senti":0.5455,"StackExchangeClustering.v2":0.576814,"Tatoeba":0.053701241071428575,"PolEmo2.0-OUT":0.223684,"RomaniBibleClustering":0.383283,"STS22.v2":0.5269768888888889,"PoemSentimentClassification":0.49853000000000003,"IndicGenBenchFloresBitextMining":0.03278362068965517},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":122,"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":{"STS":0.5968178549558081,"Clustering":0.38862444334946067,"PairClassification":0.729728383116883,"Reranking":0.5145443414061038,"Retrieval":0.37265952196846036,"InstructionReranking":-0.011909333333333333,"BitextMining":0.31880249674058153,"MultilabelClassification":0.15650531304347826},"scoresByTask":{"ScalaClassification":0.500769,"IndonesianIdClickbaitClassification":0.56165,"SICK-R":0.688972,"SCIDOCS":0.15313,"PunjabiNewsClassification":0.636306,"AlloProfClusteringS2S.v2":0.395514,"SlovakMovieReviewSentimentClassification":0.56123,"WikipediaRerankingMultilingual":0.7322870625,"NTREXBitextMining":0.20380042066805845,"NusaParagraphEmotionClassification":0.30253830000000004,"MassiveIntentClassification":0.38715885294117647,"STS13":0.826089,"CyrillicTurkicLangClassification":0.571826,"CSFDSKMovieReviewSentimentClassification":0.220215,"XNLI":0.5983018571428571,"CEDRClassification":0.336132,"WinoGrande":0.35619,"IN22GenBitextMining":0.03209528656126482,"NusaTranslationBitextMining":0.5002314545454545,"TwitterURLCorpus":0.838207,"PpcPC":0.736183,"TwitterHjerneRetrieval":0.07462,"MalteseNewsClassification":0.237832,"STS12":0.683499,"LEMBPasskeyRetrieval":0.275,"BUCC.v2":0.74808325,"SwahiliNewsClassification":0.560791,"BiorxivClusteringP2P.v2":0.353287,"STS14":0.759534,"BornholmBitextMining":0.199051,"FaroeseSTS":0.572993,"WikiCitiesClustering":0.730891,"NusaXBitextMining":0.21535763636363636,"STSBenchmark":0.821903,"StackOverflowQA":0.75374,"MultiEURLEXMultilabelClassification":0.035009565217391306,"NorwegianCourtsBitextMining":0.862573,"PlscClusteringP2P.v2":0.682655,"ToxicConversationsClassification":0.637988,"BrazilianToxicTweetsClassification":0.142871,"IndicLangClassification":0.460076,"News21InstructionRetrieval":-0.019703,"GujaratiNewsClassification":0.446965,"SiswatiNewsClassification":0.7075,"STS17":0.5932438181818181,"NollySentiBitextMining":0.258815,"STS15":0.828973,"TempReasonL1":0.01849,"MedrxivClusteringP2P.v2":0.324354,"TRECCOVID":0.60587,"NepaliNewsClassification":0.623291,"ArmenianParaphrasePC":0.846273,"AmazonCounterfactualClassification":0.645816,"KorHateSpeechMLClassification":0.030682,"BelebeleRetrieval":0.34718186170212767,"AlloprofReranking":0.6830621526032894,"NordicLangClassification":0.584733,"StatcanDialogueDatasetRetrieval":0.12156499999999999,"RuBQReranking":0.601972,"STSES":0.786794,"WikiClusteringP2P.v2":0.258457,"FinParaSTS":0.0226365,"OpusparcusPC":0.89305375,"CataloniaTweetClassification":0.48909075,"GermanSTSBenchmark":0.743432,"SwissJudgementClassification":0.5362836666666667,"MLQARetrieval":0.2869707142857143,"SwednClusteringP2P":0.29073950000000004,"DBpediaClassification":0.870557,"HagridRetrieval":0.98683,"TswanaNewsClassification":0.258316,"WikipediaRetrievalMultilingual":0.605614375,"ArguAna":0.44385,"MIRACLRetrievalHardNegatives":0.17084944444444444,"IsiZuluNewsClassification":0.244149,"DiaBlaBitextMining":0.780562,"LegalBenchCorporateLobbying":0.89963,"EstonianValenceClassification":0.283007,"SinhalaNewsClassification":0.355518,"SprintDuplicateQuestions":0.906748,"CovidRetrieval":0.29788,"IndicCrosslingualSTS":0.00555025,"Core17InstructionRetrieval":0.027576,"RTE3":0.87278875,"BibleNLPBitextMining":0.0252999595410628,"AfriSentiClassification":0.4166130833333333,"PAC":0.624124,"VoyageMMarcoReranking":0.350738,"GreekLegalCodeClassification":0.1601075,"KurdishSentimentClassification":0.614243,"Robust04InstructionRetrieval":-0.043601,"TERRa":0.537633,"indonli":0.506894,"SpartQA":0.08497,"SentimentAnalysisHindi":0.417975,"ItaCaseholdClassification":0.619457,"OdiaNewsClassification":0.51592,"FinancialPhrasebankClassification":0.710424,"ArXivHierarchicalClusteringP2P":0.550984,"CLSClusteringP2P.v2":0.281994,"CTKFactsNLI":0.7118945,"JSICK":0.650982,"STSB":0.5118495000000001,"FloresBitextMining":0.11866226798995459,"MacedonianTweetSentimentClassification":0.426514,"TweetTopicSingleClassification":0.670053,"SIB200ClusteringS2S":0.12330240609137055,"HALClusteringS2S.v2":0.266678,"BulgarianStoreReviewSentimentClassfication":0.418132,"CzechProductReviewSentimentClassification":0.42666,"PawsXPairClassification":0.5790353571428571,"FilipinoShopeeReviewsClassification":0.2652835,"SemRel24STS":0.427803,"BigPatentClustering.v2":0.281005,"ArXivHierarchicalClusteringS2S":0.515448,"AILAStatutes":0.22549,"MultiHateClassification":0.5650181818181819,"MasakhaNEWSClusteringS2S":0.3480981875,"DalajClassification":0.501351,"T2Reranking":0.640159,"WebLINXCandidatesReranking":0.07904783333333333,"KorSarcasmClassification":0.520264,"NusaX-senti":0.5615625000000001,"StackExchangeClustering.v2":0.492321,"Tatoeba":0.1738800267857143,"PolEmo2.0-OUT":0.261741,"RomaniBibleClustering":0.322263,"STS22.v2":0.6248316111111111,"PoemSentimentClassification":0.42487600000000003,"IndicGenBenchFloresBitextMining":0.026021155172413796},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"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":{"Classification":0.4733879225066585,"Clustering":0.4023418338819085,"PairClassification":0.7132680708620828,"Reranking":0.45012818402777777,"Retrieval":0.3516056534267568,"InstructionReranking":-0.01678066666666667,"BitextMining":0.22962302469161913,"MultilabelClassification":0.1673773391304348},"scoresByTask":{"ScalaClassification":0.501367,"IndonesianIdClickbaitClassification":0.558298,"SICK-R":0.7965689515219193,"SCIDOCS":0.20278,"PunjabiNewsClassification":0.584076,"AlloProfClusteringS2S.v2":0.313629,"SlovakMovieReviewSentimentClassification":0.550244,"WikipediaRerankingMultilingual":0.7216664375,"NTREXBitextMining":0.17333417954070982,"NusaParagraphEmotionClassification":0.26738629999999997,"MassiveIntentClassification":0.2764452745098039,"STS13":0.834553090866614,"CyrillicTurkicLangClassification":0.62959,"CSFDSKMovieReviewSentimentClassification":0.215137,"XNLI":0.5892499285714285,"CEDRClassification":0.352869,"WinoGrande":0.09621,"IN22GenBitextMining":0.03452632806324111,"NusaTranslationBitextMining":0.6060925454545454,"TwitterURLCorpus":0.8498986658033177,"PpcPC":0.681429,"TwitterHjerneRetrieval":0.168,"MalteseNewsClassification":0.245712,"STS12":0.7622109828443048,"LEMBPasskeyRetrieval":0.1575,"BUCC.v2":0.14031625,"SwahiliNewsClassification":0.476123,"BiorxivClusteringP2P.v2":0.414489,"STS14":0.8039864986197945,"BornholmBitextMining":0.326538,"FaroeseSTS":0.660398,"WikiCitiesClustering":0.819354,"NusaXBitextMining":0.20512536363636363,"STSBenchmark":0.8481184678969442,"StackOverflowQA":0.75601,"MultiEURLEXMultilabelClassification":0.025248695652173914,"NorwegianCourtsBitextMining":0.913012,"PlscClusteringP2P.v2":0.649967,"ToxicConversationsClassification":0.658447265625,"BrazilianToxicTweetsClassification":0.182031,"IndicLangClassification":0.405428,"News21InstructionRetrieval":0.000344,"GujaratiNewsClassification":0.422989,"SiswatiNewsClassification":0.51125,"NollySentiBitextMining":0.269573,"STS15":0.8640909639583372,"TempReasonL1":0.01408,"MedrxivClusteringP2P.v2":0.3668359142642706,"TRECCOVID":0.77699,"NepaliNewsClassification":0.439209,"ArmenianParaphrasePC":0.87671,"AmazonCounterfactualClassification":0.64455525,"KorHateSpeechMLClassification":0.031026,"BelebeleRetrieval":0.2542809042553192,"AlloprofReranking":0.629753,"NordicLangClassification":0.5116,"StatcanDialogueDatasetRetrieval":0.1178125,"RuBQReranking":0.360039,"STSES":0.760943,"WikiClusteringP2P.v2":0.24414278571428571,"FinParaSTS":0.12424650000000001,"OpusparcusPC":0.8710155833333334,"CataloniaTweetClassification":0.4550675,"GermanSTSBenchmark":0.6796175,"SwissJudgementClassification":0.5485453333333333,"MLQARetrieval":0.18335051020408163,"SwednClusteringP2P":0.2949655,"DBpediaClassification":0.840723,"HagridRetrieval":0.98843,"TswanaNewsClassification":0.263655,"WikipediaRetrievalMultilingual":0.522910625,"ArguAna":0.61587,"MIRACLRetrievalHardNegatives":0.13630722222222225,"IsiZuluNewsClassification":0.240824,"DiaBlaBitextMining":0.116227,"LegalBenchCorporateLobbying":0.91864,"EstonianValenceClassification":0.28313,"SinhalaNewsClassification":0.383984,"SprintDuplicateQuestions":0.9616611732034019,"CovidRetrieval":0.15128,"IndicCrosslingualSTS":-0.0008140833333333319,"Core17InstructionRetrieval":0.007048,"RTE3":0.866121,"BibleNLPBitextMining":0.008758163647342996,"AfriSentiClassification":0.3721038333333333,"PAC":0.588705,"VoyageMMarcoReranking":0.292151,"GreekLegalCodeClassification":0.026221,"KurdishSentimentClassification":0.590287,"Robust04InstructionRetrieval":-0.057734,"TERRa":0.441104,"indonli":0.480551,"SpartQA":0.03212,"SentimentAnalysisHindi":0.346392,"ItaCaseholdClassification":0.678281,"OdiaNewsClassification":0.5994,"MasakhaNEWSClassification":0.6183490625,"FinancialPhrasebankClassification":0.821599,"ArXivHierarchicalClusteringP2P":0.605536,"CLSClusteringP2P.v2":0.191179,"CTKFactsNLI":0.704073,"JSICK":0.642204,"STSB":0.4441125,"FloresBitextMining":0.11292109502076692,"MacedonianTweetSentimentClassification":0.335031,"TweetTopicSingleClassification":0.734554,"SIB200ClusteringS2S":0.0909611421319797,"HALClusteringS2S.v2":0.218092,"BulgarianStoreReviewSentimentClassfication":0.363187,"CzechProductReviewSentimentClassification":0.444922,"PawsXPairClassification":0.5241354285714286,"FilipinoShopeeReviewsClassification":0.28481449999999997,"SemRel24STS":0.3825886666666667,"BigPatentClustering.v2":0.329746,"ArXivHierarchicalClusteringS2S":0.57123,"AILAStatutes":0.23633,"MultiHateClassification":0.5526181818181818,"MasakhaNEWSClusteringS2S":0.38876,"DalajClassification":0.502365,"T2Reranking":0.616567,"WebLINXCandidatesReranking":0.08059266666666666,"KorSarcasmClassification":0.531055,"NusaX-senti":0.5538541666666666,"StackExchangeClustering.v2":0.571231,"Tatoeba":0.052098973214285714,"PolEmo2.0-OUT":0.232389,"RomaniBibleClustering":0.367351,"STS22.v2":0.4725213888888889,"PoemSentimentClassification":0.511479,"IndicGenBenchFloresBitextMining":0.026576422413793103},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","MLQARetrieval","TRECCOVID"],"experiments":null},{"rank":124,"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":0.3557231777349801,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5546002888257576,"Classification":0.5072372208228394,"Clustering":0.40939918531884517,"PairClassification":0.7371047997835499,"Reranking":0.3488135798611111,"Retrieval":0.3104864511449773,"InstructionReranking":-0.043953,"BitextMining":0.2119396651620877,"MultilabelClassification":0.16588040869565215},"scoresByTask":{"ScalaClassification":0.501416,"IndonesianIdClickbaitClassification":0.585158,"SICK-R":0.785342,"SCIDOCS":0.0636,"PunjabiNewsClassification":0.688535,"AlloProfClusteringS2S.v2":0.329093,"SlovakMovieReviewSentimentClassification":0.549609,"WikipediaRerankingMultilingual":0.6212893125,"NTREXBitextMining":0.2018352254697286,"NusaParagraphEmotionClassification":0.2831705,"MassiveIntentClassification":0.3296565,"STS13":0.820848,"CyrillicTurkicLangClassification":0.562354,"CSFDSKMovieReviewSentimentClassification":0.224561,"XNLI":0.5779566428571429,"CEDRClassification":0.342667,"WinoGrande":0.42409,"IN22GenBitextMining":0.11669475691699605,"NusaTranslationBitextMining":0.4793678181818182,"TwitterURLCorpus":0.839994,"PpcPC":0.91677,"TwitterHjerneRetrieval":0.08015,"MalteseNewsClassification":0.207444,"STS12":0.770012,"LEMBPasskeyRetrieval":0.265,"BUCC.v2":0.12886224999999998,"SwahiliNewsClassification":0.554492,"BiorxivClusteringP2P.v2":0.408031,"STS14":0.803341,"BornholmBitextMining":0.220549,"FaroeseSTS":0.556211,"WikiCitiesClustering":0.81167,"NusaXBitextMining":0.18387454545454543,"STSBenchmark":0.843509,"StackOverflowQA":0.65637,"MultiEURLEXMultilabelClassification":0.02747304347826087,"NorwegianCourtsBitextMining":0.813231,"PlscClusteringP2P.v2":0.719193,"ToxicConversationsClassification":0.634863,"BrazilianToxicTweetsClassification":0.204395,"IndicLangClassification":0.532162,"News21InstructionRetrieval":-0.00413,"GujaratiNewsClassification":0.562898,"SiswatiNewsClassification":0.74125,"STS17":0.4049874545454546,"NollySentiBitextMining":0.26035074999999996,"STS15":0.859778,"TempReasonL1":0.00888,"MedrxivClusteringP2P.v2":0.368133,"TRECCOVID":0.38702,"NepaliNewsClassification":0.696387,"ArmenianParaphrasePC":0.886537,"AmazonCounterfactualClassification":0.63642,"KorHateSpeechMLClassification":0.047423,"BelebeleRetrieval":0.22865867021276598,"AlloprofReranking":0.479209,"NordicLangClassification":0.519767,"StatcanDialogueDatasetRetrieval":0.177095,"RuBQReranking":0.174419,"STSES":0.719007,"WikiClusteringP2P.v2":0.24971649999999998,"FinParaSTS":0.10384750000000001,"OpusparcusPC":0.8586113333333333,"CataloniaTweetClassification":0.44592125,"GermanSTSBenchmark":0.561238,"SwissJudgementClassification":0.548639,"MLQARetrieval":0.15670071428571428,"SwednClusteringP2P":0.27381,"DBpediaClassification":0.882568,"HagridRetrieval":0.98292,"TswanaNewsClassification":0.260164,"WikipediaRetrievalMultilingual":0.324220625,"ArguAna":0.58723,"MIRACLRetrievalHardNegatives":0.03891111111111111,"IsiZuluNewsClassification":0.240426,"DiaBlaBitextMining":0.07725,"LegalBenchCorporateLobbying":0.89887,"EstonianValenceClassification":0.3,"SinhalaNewsClassification":0.428564,"SprintDuplicateQuestions":0.953685,"CovidRetrieval":0.00098,"IndicCrosslingualSTS":0.032605583333333334,"Core17InstructionRetrieval":-0.028666,"RTE3":0.8766717500000001,"BibleNLPBitextMining":0.009494416062801932,"AfriSentiClassification":0.38630291666666666,"PAC":0.6311323486823052,"VoyageMMarcoReranking":0.172232,"GreekLegalCodeClassification":0.0261715,"KurdishSentimentClassification":0.586462,"Robust04InstructionRetrieval":-0.099063,"TERRa":0.483142,"indonli":0.495157,"SpartQA":0.08703,"SentimentAnalysisHindi":0.384173,"ItaCaseholdClassification":0.815837,"OdiaNewsClassification":0.61012,"MasakhaNEWSClassification":0.66297725,"FinancialPhrasebankClassification":0.782067,"ArXivHierarchicalClusteringP2P":0.59169,"CLSClusteringP2P.v2":0.208497,"CTKFactsNLI":0.713083,"JSICK":0.461134,"STSB":0.28834000000000004,"FloresBitextMining":0.13172361593257992,"MacedonianTweetSentimentClassification":0.368481,"TweetTopicSingleClassification":0.720969,"SIB200ClusteringS2S":0.09399734010152283,"HALClusteringS2S.v2":0.217193,"BulgarianStoreReviewSentimentClassfication":0.343407,"CzechProductReviewSentimentClassification":0.431152,"PawsXPairClassification":0.5065450714285714,"FilipinoShopeeReviewsClassification":0.2843995,"SemRel24STS":0.34508125,"BigPatentClustering.v2":0.398505,"ArXivHierarchicalClusteringS2S":0.541129,"AILAStatutes":0.22103,"MultiHateClassification":0.5595363636363636,"MasakhaNEWSClusteringS2S":0.425430125,"DalajClassification":0.503041,"T2Reranking":0.525557,"WebLINXCandidatesReranking":0.12017516666666667,"KorSarcasmClassification":0.527979,"NusaX-senti":0.5776249999999999,"StackExchangeClustering.v2":0.545177,"Tatoeba":0.07093005357142858,"PolEmo2.0-OUT":0.4032388663967612,"RomaniBibleClustering":0.369122,"STS22.v2":0.5183228333333333,"PoemSentimentClassification":0.4971475,"IndicGenBenchFloresBitextMining":0.061052215517241375},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":125,"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":{"Classification":0.4698116508513659,"Clustering":0.40380383524632885,"PairClassification":0.709706551948052,"Reranking":0.45986606944444447,"Retrieval":0.392639682187887,"InstructionReranking":-0.012860333333333333,"BitextMining":0.26560922388065633,"MultilabelClassification":0.16839113043478263},"scoresByTask":{"ScalaClassification":0.50047625,"IndonesianIdClickbaitClassification":0.573251,"SICK-R":0.712001,"SCIDOCS":0.24146,"PunjabiNewsClassification":0.610191,"AlloProfClusteringS2S.v2":0.401575,"SlovakMovieReviewSentimentClassification":0.559619,"WikipediaRerankingMultilingual":0.69027975,"NTREXBitextMining":0.2222038909185804,"NusaParagraphEmotionClassification":0.2579933,"MassiveIntentClassification":0.30619886274509805,"STS13":0.817525,"CyrillicTurkicLangClassification":0.621143,"CSFDSKMovieReviewSentimentClassification":0.207422,"XNLI":0.5590655357142857,"CEDRClassification":0.335494,"WinoGrande":0.37477,"IN22GenBitextMining":0.07108380237154151,"NusaTranslationBitextMining":0.6065090909090909,"TwitterURLCorpus":0.825316,"PpcPC":0.679646,"TwitterHjerneRetrieval":0.05915,"MalteseNewsClassification":0.235481,"STS12":0.659247,"LEMBPasskeyRetrieval":0.3875,"BUCC.v2":0.224734,"SwahiliNewsClassification":0.532324,"BiorxivClusteringP2P.v2":0.406341,"STS14":0.742305,"BornholmBitextMining":0.424857,"FaroeseSTS":0.544962,"WikiCitiesClustering":0.71578,"NusaXBitextMining":0.26697754545454544,"STSBenchmark":0.796569,"StackOverflowQA":0.89846,"MultiEURLEXMultilabelClassification":0.030915652173913045,"NorwegianCourtsBitextMining":0.883041,"PlscClusteringP2P.v2":0.672903,"ToxicConversationsClassification":0.597607,"BrazilianToxicTweetsClassification":0.189893,"IndicLangClassification":0.721724,"News21InstructionRetrieval":0.007361,"GujaratiNewsClassification":0.453187,"SiswatiNewsClassification":0.51625,"NollySentiBitextMining":0.31085775,"STS15":0.841271,"TempReasonL1":0.01434,"MedrxivClusteringP2P.v2":0.360757,"TRECCOVID":0.69259,"NepaliNewsClassification":0.486279,"ArmenianParaphrasePC":0.885048,"AmazonCounterfactualClassification":0.608162375,"KorHateSpeechMLClassification":0.050172,"BelebeleRetrieval":0.33373755319148934,"AlloprofReranking":0.705727,"NordicLangClassification":0.484667,"StatcanDialogueDatasetRetrieval":0.3071375,"RuBQReranking":0.362986,"STSES":0.625206,"WikiClusteringP2P.v2":0.2561585714285714,"FinParaSTS":0.1241675,"OpusparcusPC":0.86501025,"CataloniaTweetClassification":0.45849275,"GermanSTSBenchmark":0.616844,"SwissJudgementClassification":0.540558,"MLQARetrieval":0.22901714285714286,"SwednClusteringP2P":0.238885,"DBpediaClassification":0.876221,"HagridRetrieval":0.98781,"TswanaNewsClassification":0.232444,"WikipediaRetrievalMultilingual":0.52696875,"ArguAna":0.58401,"MIRACLRetrievalHardNegatives":0.16346333333333332,"IsiZuluNewsClassification":0.21516,"DiaBlaBitextMining":0.12982,"LegalBenchCorporateLobbying":0.92245,"EstonianValenceClassification":0.28044,"SinhalaNewsClassification":0.374316,"SprintDuplicateQuestions":0.954074,"CovidRetrieval":0.02982,"IndicCrosslingualSTS":0.0227275,"Core17InstructionRetrieval":0.008416,"RTE3":0.8595685,"BibleNLPBitextMining":0.04106655193236715,"AfriSentiClassification":0.3906829166666667,"PAC":0.574312,"VoyageMMarcoReranking":0.307051,"GreekLegalCodeClassification":0.0331545,"KurdishSentimentClassification":0.633166,"Robust04InstructionRetrieval":-0.054358,"TERRa":0.465872,"indonli":0.472625,"SpartQA":0.00638,"SentimentAnalysisHindi":0.378136,"ItaCaseholdClassification":0.494118,"OdiaNewsClassification":0.519172,"MasakhaNEWSClassification":0.6385195625,"FinancialPhrasebankClassification":0.696246,"ArXivHierarchicalClusteringP2P":0.572516,"CLSClusteringP2P.v2":0.174454,"CTKFactsNLI":0.6944635,"JSICK":0.761778,"STSB":0.512283,"FloresBitextMining":0.16308886660871244,"MacedonianTweetSentimentClassification":0.361457,"TweetTopicSingleClassification":0.713585,"SIB200ClusteringS2S":0.10774616751269037,"HALClusteringS2S.v2":0.242829,"BulgarianStoreReviewSentimentClassfication":0.339011,"CzechProductReviewSentimentClassification":0.426416,"PawsXPairClassification":0.5460832857142857,"FilipinoShopeeReviewsClassification":0.259717,"SemRel24STS":0.4235469166666667,"BigPatentClustering.v2":0.295795,"ArXivHierarchicalClusteringS2S":0.573498,"AILAStatutes":0.30845,"MultiHateClassification":0.5396636363636363,"MasakhaNEWSClusteringS2S":0.410899625,"DalajClassification":0.503041,"T2Reranking":0.628591,"WebLINXCandidatesReranking":0.06456166666666667,"KorSarcasmClassification":0.538818,"NusaX-senti":0.5157708333333334,"StackExchangeClustering.v2":0.615845,"Tatoeba":0.07926395535714285,"PolEmo2.0-OUT":0.178745,"RomaniBibleClustering":0.414879,"STS22.v2":0.5214400555555555,"PoemSentimentClassification":0.454043,"IndicGenBenchFloresBitextMining":0.029416456896551726},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":126,"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":{"STS":0.5774556941287878,"Clustering":0.39768985384846356,"PairClassification":0.7254236558441559,"Reranking":0.513711523548564,"Retrieval":0.3834912468740451,"InstructionReranking":-0.0008103333333333365,"BitextMining":0.30263702385794805,"MultilabelClassification":0.16060611304347824},"scoresByTask":{"ScalaClassification":0.5012205,"IndonesianIdClickbaitClassification":0.544673,"SICK-R":0.676309,"SCIDOCS":0.15231,"PunjabiNewsClassification":0.622293,"AlloProfClusteringS2S.v2":0.409753,"SlovakMovieReviewSentimentClassification":0.569873,"WikipediaRerankingMultilingual":0.7348941875,"NTREXBitextMining":0.20917998068893529,"NusaParagraphEmotionClassification":0.2961778,"MassiveIntentClassification":0.3763651862745098,"STS13":0.812605,"CyrillicTurkicLangClassification":0.529053,"CSFDSKMovieReviewSentimentClassification":0.219092,"XNLI":0.5915905357142857,"CEDRClassification":0.339957,"WinoGrande":0.46557,"IN22GenBitextMining":0.03219467984189723,"NusaTranslationBitextMining":0.4473360909090909,"TwitterURLCorpus":0.837323,"PpcPC":0.715571,"TwitterHjerneRetrieval":0.0846,"MalteseNewsClassification":0.26047,"STS12":0.65681,"LEMBPasskeyRetrieval":0.3075,"BUCC.v2":0.74555825,"SwahiliNewsClassification":0.554639,"BiorxivClusteringP2P.v2":0.373948,"STS14":0.740395,"BornholmBitextMining":0.16538,"FaroeseSTS":0.528372,"WikiCitiesClustering":0.729754,"NusaXBitextMining":0.2009819090909091,"STSBenchmark":0.797631,"StackOverflowQA":0.77473,"MultiEURLEXMultilabelClassification":0.037069565217391305,"NorwegianCourtsBitextMining":0.817251,"PlscClusteringP2P.v2":0.677372,"ToxicConversationsClassification":0.591699,"BrazilianToxicTweetsClassification":0.137061,"IndicLangClassification":0.432783,"News21InstructionRetrieval":-0.026842,"GujaratiNewsClassification":0.437709,"SiswatiNewsClassification":0.73125,"STS17":0.5689982727272728,"NollySentiBitextMining":0.2375005,"STS15":0.807361,"TempReasonL1":0.01869,"MedrxivClusteringP2P.v2":0.337423,"TRECCOVID":0.60495,"NepaliNewsClassification":0.628125,"ArmenianParaphrasePC":0.839914,"AmazonCounterfactualClassification":0.628310375,"KorHateSpeechMLClassification":0.028473,"BelebeleRetrieval":0.34407882978723403,"AlloprofReranking":0.6879422871247168,"NordicLangClassification":0.5665,"StatcanDialogueDatasetRetrieval":0.1621625,"RuBQReranking":0.593056,"STSES":0.784478,"WikiClusteringP2P.v2":0.25723214285714285,"FinParaSTS":-0.0040825,"OpusparcusPC":0.88847275,"CataloniaTweetClassification":0.4906255,"GermanSTSBenchmark":0.7185085,"SwissJudgementClassification":0.5316993333333334,"MLQARetrieval":0.29398153061224486,"SwednClusteringP2P":0.277772,"DBpediaClassification":0.873193,"HagridRetrieval":0.98322,"TswanaNewsClassification":0.258111,"WikipediaRetrievalMultilingual":0.60179125,"ArguAna":0.52089,"MIRACLRetrievalHardNegatives":0.16768833333333333,"IsiZuluNewsClassification":0.23484,"DiaBlaBitextMining":0.739818,"LegalBenchCorporateLobbying":0.89154,"EstonianValenceClassification":0.29401,"SinhalaNewsClassification":0.349805,"SprintDuplicateQuestions":0.893511,"CovidRetrieval":0.2407,"IndicCrosslingualSTS":-0.008201333333333333,"Core17InstructionRetrieval":0.058188,"RTE3":0.873424,"BibleNLPBitextMining":0.02757259722222222,"AfriSentiClassification":0.4095166666666667,"PAC":0.612945,"VoyageMMarcoReranking":0.349497,"GreekLegalCodeClassification":0.1721435,"KurdishSentimentClassification":0.592803,"Robust04InstructionRetrieval":-0.033777,"TERRa":0.522643,"indonli":0.501934,"SpartQA":0.06311,"SentimentAnalysisHindi":0.396275,"ItaCaseholdClassification":0.657014,"OdiaNewsClassification":0.500679,"FinancialPhrasebankClassification":0.725133,"ArXivHierarchicalClusteringP2P":0.585928,"CLSClusteringP2P.v2":0.281453,"CTKFactsNLI":0.725604,"JSICK":0.64039,"STSB":0.4667085,"FloresBitextMining":0.11792108565150197,"MacedonianTweetSentimentClassification":0.441352,"TweetTopicSingleClassification":0.685706,"SIB200ClusteringS2S":0.11747008121827411,"HALClusteringS2S.v2":0.271876,"BulgarianStoreReviewSentimentClassfication":0.407143,"CzechProductReviewSentimentClassification":0.426221,"PawsXPairClassification":0.5896729285714286,"FilipinoShopeeReviewsClassification":0.2672605,"SemRel24STS":0.40894199999999997,"BigPatentClustering.v2":0.318477,"ArXivHierarchicalClusteringS2S":0.544624,"AILAStatutes":0.22533,"MultiHateClassification":0.5707,"MasakhaNEWSClusteringS2S":0.3459284375,"DalajClassification":0.498986,"T2Reranking":0.632816,"WebLINXCandidatesReranking":0.08406366666666666,"KorSarcasmClassification":0.521143,"NusaX-senti":0.5531875,"StackExchangeClustering.v2":0.502529,"Tatoeba":0.16665503571428572,"PolEmo2.0-OUT":0.298178,"RomaniBibleClustering":0.331498,"STS22.v2":0.6440666666666667,"PoemSentimentClassification":0.4353895,"IndicGenBenchFloresBitextMining":0.02693218103448276},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"experiments":null},{"rank":127,"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":{"STS":0.5747649622790405,"Clustering":0.39808836980771845,"PairClassification":0.7224845757575757,"Reranking":0.509319178249657,"Retrieval":0.36484533989314794,"InstructionReranking":-0.0035116666666666677,"BitextMining":0.32219495846071067,"MultilabelClassification":0.15318207826086958},"scoresByTask":{"ScalaClassification":0.50192875,"IndonesianIdClickbaitClassification":0.558357,"SICK-R":0.64878,"SCIDOCS":0.14885,"PunjabiNewsClassification":0.629936,"AlloProfClusteringS2S.v2":0.394282,"SlovakMovieReviewSentimentClassification":0.5771,"WikipediaRerankingMultilingual":0.741896625,"NTREXBitextMining":0.2070442061586639,"NusaParagraphEmotionClassification":0.3071462,"MassiveIntentClassification":0.3785511764705882,"STS13":0.789081,"CyrillicTurkicLangClassification":0.594678,"CSFDSKMovieReviewSentimentClassification":0.219434,"XNLI":0.59131675,"CEDRClassification":0.337726,"WinoGrande":0.32151,"IN22GenBitextMining":0.03796669169960474,"NusaTranslationBitextMining":0.46851445454545454,"TwitterURLCorpus":0.827212,"PpcPC":0.705414,"TwitterHjerneRetrieval":0.07273,"MalteseNewsClassification":0.228951,"STS12":0.655476,"LEMBPasskeyRetrieval":0.3725,"BUCC.v2":0.75407725,"SwahiliNewsClassification":0.564795,"BiorxivClusteringP2P.v2":0.375165,"STS14":0.715049,"BornholmBitextMining":0.246943,"FaroeseSTS":0.578957,"WikiCitiesClustering":0.676265,"NusaXBitextMining":0.22545518181818183,"STSBenchmark":0.771476,"StackOverflowQA":0.77077,"MultiEURLEXMultilabelClassification":0.03475739130434783,"NorwegianCourtsBitextMining":0.893275,"PlscClusteringP2P.v2":0.68548,"ToxicConversationsClassification":0.632422,"BrazilianToxicTweetsClassification":0.133057,"IndicLangClassification":0.45788,"News21InstructionRetrieval":0.006465,"GujaratiNewsClassification":0.430273,"SiswatiNewsClassification":0.72875,"STS17":0.5870720909090908,"NollySentiBitextMining":0.2498975,"STS15":0.799044,"TempReasonL1":0.00797,"MedrxivClusteringP2P.v2":0.338193,"TRECCOVID":0.55811,"NepaliNewsClassification":0.640674,"ArmenianParaphrasePC":0.847427,"AmazonCounterfactualClassification":0.6277159999999999,"KorHateSpeechMLClassification":0.031419,"BelebeleRetrieval":0.32862194148936175,"AlloprofReranking":0.6723549444979429,"NordicLangClassification":0.587967,"StatcanDialogueDatasetRetrieval":0.0903225,"RuBQReranking":0.583846,"STSES":0.783415,"WikiClusteringP2P.v2":0.2526185714285714,"FinParaSTS":-0.028233,"OpusparcusPC":0.8897380833333334,"CataloniaTweetClassification":0.49116025,"GermanSTSBenchmark":0.7106555,"SwissJudgementClassification":0.531038,"MLQARetrieval":0.26914785714285716,"SwednClusteringP2P":0.28967299999999996,"DBpediaClassification":0.869141,"HagridRetrieval":0.98512,"TswanaNewsClassification":0.252361,"WikipediaRetrievalMultilingual":0.610714375,"ArguAna":0.48372,"MIRACLRetrievalHardNegatives":0.14463944444444443,"IsiZuluNewsClassification":0.241755,"DiaBlaBitextMining":0.75477,"LegalBenchCorporateLobbying":0.88933,"EstonianValenceClassification":0.287042,"SinhalaNewsClassification":0.361328,"SprintDuplicateQuestions":0.87745,"CovidRetrieval":0.24557,"IndicCrosslingualSTS":0.025421166666666672,"Core17InstructionRetrieval":0.050609,"RTE3":0.8663965,"BibleNLPBitextMining":0.028513489734299517,"AfriSentiClassification":0.39867991666666663,"PAC":0.616392,"VoyageMMarcoReranking":0.343,"GreekLegalCodeClassification":0.15664050000000002,"KurdishSentimentClassification":0.603221,"Robust04InstructionRetrieval":-0.067609,"TERRa":0.529397,"indonli":0.504118,"SpartQA":0.06645,"SentimentAnalysisHindi":0.403897,"ItaCaseholdClassification":0.699095,"OdiaNewsClassification":0.517682,"FinancialPhrasebankClassification":0.697615,"ArXivHierarchicalClusteringP2P":0.595187,"CLSClusteringP2P.v2":0.309549,"CTKFactsNLI":0.7148055,"JSICK":0.655961,"STSB":0.469626,"FloresBitextMining":0.11339235598377281,"MacedonianTweetSentimentClassification":0.426251,"TweetTopicSingleClassification":0.684879,"SIB200ClusteringS2S":0.11778253299492386,"HALClusteringS2S.v2":0.270228,"BulgarianStoreReviewSentimentClassfication":0.411538,"CzechProductReviewSentimentClassification":0.432666,"PawsXPairClassification":0.5940555,"FilipinoShopeeReviewsClassification":0.2704835,"SemRel24STS":0.43536058333333333,"BigPatentClustering.v2":0.321243,"ArXivHierarchicalClusteringS2S":0.548091,"AILAStatutes":0.20114,"MultiHateClassification":0.5659545454545455,"MasakhaNEWSClusteringS2S":0.3715418125,"DalajClassification":0.495383,"T2Reranking":0.628806,"WebLINXCandidatesReranking":0.0860115,"KorSarcasmClassification":0.529297,"NusaX-senti":0.5599375,"StackExchangeClustering.v2":0.499431,"Tatoeba":0.18043932142857141,"PolEmo2.0-OUT":0.327126,"RomaniBibleClustering":0.324684,"STS22.v2":0.5990980555555556,"PoemSentimentClassification":0.448782,"IndicGenBenchFloresBitextMining":0.028246008620689652},"scoresByCustomGroup":{},"trainedOnTasks":["STS12","STSB","STSBenchmark"],"experiments":null},{"rank":128,"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":{"Classification":0.4656661236226838,"Clustering":0.3630334317116538,"PairClassification":0.7296128222699608,"Reranking":0.3930348854166667,"Retrieval":0.3625029502463909,"InstructionReranking":-0.014544,"BitextMining":0.28072869070529716,"MultilabelClassification":0.15219558260869565},"scoresByTask":{"ScalaClassification":0.499878,"IndonesianIdClickbaitClassification":0.568099,"SICK-R":0.789003023008781,"SCIDOCS":0.16419,"PunjabiNewsClassification":0.572611,"AlloProfClusteringS2S.v2":0.304658,"SlovakMovieReviewSentimentClassification":0.558008,"WikipediaRerankingMultilingual":0.7041503125,"NTREXBitextMining":0.22067282985386222,"NusaParagraphEmotionClassification":0.2863384,"MassiveIntentClassification":0.2629470294117647,"STS13":0.8179962989974363,"CyrillicTurkicLangClassification":0.372559,"CSFDSKMovieReviewSentimentClassification":0.220508,"XNLI":0.5990982499999999,"CEDRClassification":0.310893,"WinoGrande":0.46726,"IN22GenBitextMining":0.05000979446640316,"NusaTranslationBitextMining":0.6814484545454546,"TwitterURLCorpus":0.8578879502899772,"PpcPC":0.785408,"TwitterHjerneRetrieval":0.19154,"MalteseNewsClassification":0.183631,"STS12":0.7518834516024511,"LEMBPasskeyRetrieval":0.3775,"BUCC.v2":0.24795775,"SwahiliNewsClassification":0.48877,"BiorxivClusteringP2P.v2":0.3816344531951946,"STS14":0.7848371403924872,"BornholmBitextMining":0.402706,"FaroeseSTS":0.671035,"WikiCitiesClustering":0.669485,"NusaXBitextMining":0.28481245454545456,"STSBenchmark":0.8636336704300167,"StackOverflowQA":0.71501,"MultiEURLEXMultilabelClassification":0.02683391304347826,"NorwegianCourtsBitextMining":0.931579,"PlscClusteringP2P.v2":0.66116,"ToxicConversationsClassification":0.7276460000000001,"BrazilianToxicTweetsClassification":0.190381,"IndicLangClassification":0.414988,"News21InstructionRetrieval":0.008654,"GujaratiNewsClassification":0.414036,"SiswatiNewsClassification":0.4625,"NollySentiBitextMining":0.3035,"STS15":0.8749276894673141,"TempReasonL1":0.01704,"MedrxivClusteringP2P.v2":0.34459737263951334,"TRECCOVID":0.7677700000000001,"NepaliNewsClassification":0.436572,"ArmenianParaphrasePC":0.882041,"AmazonCounterfactualClassification":0.6615132499999999,"KorHateSpeechMLClassification":0.049239,"BelebeleRetrieval":0.2604653989361702,"AlloprofReranking":0.598633,"NordicLangClassification":0.535,"StatcanDialogueDatasetRetrieval":0.0765425,"RuBQReranking":0.176312,"STSES":0.776992,"WikiClusteringP2P.v2":0.22860007142857142,"FinParaSTS":0.157889,"OpusparcusPC":0.8781661666666666,"CataloniaTweetClassification":0.45685525,"GermanSTSBenchmark":0.689844,"SwissJudgementClassification":0.5198196666666667,"MLQARetrieval":0.1861634693877551,"SwednClusteringP2P":0.1799015,"DBpediaClassification":0.891846,"HagridRetrieval":0.98545,"TswanaNewsClassification":0.301232,"WikipediaRetrievalMultilingual":0.541130625,"ArguAna":0.46692999999999996,"MIRACLRetrievalHardNegatives":0.1399611111111111,"IsiZuluNewsClassification":0.24375,"DiaBlaBitextMining":0.230967,"LegalBenchCorporateLobbying":0.90205,"EstonianValenceClassification":0.293276,"SinhalaNewsClassification":0.361377,"SprintDuplicateQuestions":0.9532449994414968,"CovidRetrieval":0.01507,"IndicCrosslingualSTS":0.032111,"Core17InstructionRetrieval":-0.005372,"RTE3":0.86220075,"BibleNLPBitextMining":0.016724351449275362,"AfriSentiClassification":0.3859208333333333,"PAC":0.640747,"VoyageMMarcoReranking":0.217124,"GreekLegalCodeClassification":0.017773499999999998,"KurdishSentimentClassification":0.583744,"Robust04InstructionRetrieval":-0.046914,"TERRa":0.469144,"indonli":0.478641,"SpartQA":0.04315,"SentimentAnalysisHindi":0.371438,"ItaCaseholdClassification":0.504072,"OdiaNewsClassification":0.617822,"MasakhaNEWSClassification":0.58863825,"FinancialPhrasebankClassification":0.801413,"ArXivHierarchicalClusteringP2P":0.54796,"CLSClusteringP2P.v2":0.128649,"CTKFactsNLI":0.7323774999999999,"JSICK":0.52817,"STSB":0.3250075,"FloresBitextMining":0.1511652968946199,"MacedonianTweetSentimentClassification":0.298859,"TweetTopicSingleClassification":0.666332,"SIB200ClusteringS2S":0.07853925888324874,"HALClusteringS2S.v2":0.207176,"BulgarianStoreReviewSentimentClassfication":0.307692,"CzechProductReviewSentimentClassification":0.444922,"PawsXPairClassification":0.5275314285714285,"FilipinoShopeeReviewsClassification":0.287598,"SemRel24STS":0.36837891666666667,"BigPatentClustering.v2":0.288223,"ArXivHierarchicalClusteringS2S":0.54653,"AILAStatutes":0.20783,"MultiHateClassification":0.5469636363636364,"MasakhaNEWSClusteringS2S":0.3736984375,"DalajClassification":0.498311,"T2Reranking":0.588066,"WebLINXCandidatesReranking":0.073924,"KorSarcasmClassification":0.545312,"NusaX-senti":0.5750000000000001,"StackExchangeClustering.v2":0.4832468137399329,"Tatoeba":0.077384625,"PolEmo2.0-OUT":0.268016,"RomaniBibleClustering":0.384476,"STS22.v2":0.5086858888888889,"PoemSentimentClassification":0.5229395,"IndicGenBenchFloresBitextMining":0.050545422413793104},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":129,"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":{"STS":0.5169085544507576,"Classification":0.4743918672575706,"Clustering":0.4016665851330221,"PairClassification":0.7324311320346321,"Reranking":0.34438062499999994,"Retrieval":0.3039357734543778,"InstructionReranking":-0.034431666666666666,"BitextMining":0.2339680778302341,"MultilabelClassification":0.15028761739130433},"scoresByTask":{"ScalaClassification":0.50113525,"IndonesianIdClickbaitClassification":0.565501,"SICK-R":0.806494,"SCIDOCS":0.05702,"PunjabiNewsClassification":0.689172,"AlloProfClusteringS2S.v2":0.322387,"SlovakMovieReviewSentimentClassification":0.562207,"WikipediaRerankingMultilingual":0.62459175,"NTREXBitextMining":0.18215324269311065,"NusaParagraphEmotionClassification":0.2937656,"MassiveIntentClassification":0.27421659803921566,"STS13":0.842942,"CyrillicTurkicLangClassification":0.155518,"CSFDSKMovieReviewSentimentClassification":0.22251,"XNLI":0.5738126785714286,"CEDRClassification":0.339904,"WinoGrande":0.07959,"IN22GenBitextMining":0.0714356324110672,"NusaTranslationBitextMining":0.6216513636363636,"TwitterURLCorpus":0.856037,"PpcPC":0.929657,"TwitterHjerneRetrieval":0.22752,"MalteseNewsClassification":0.195516,"STS12":0.778013,"LEMBPasskeyRetrieval":0.2575,"BUCC.v2":0.13006325000000002,"SwahiliNewsClassification":0.517383,"BiorxivClusteringP2P.v2":0.418753,"STS14":0.826476,"BornholmBitextMining":0.317155,"FaroeseSTS":0.665164,"WikiCitiesClustering":0.870219,"NusaXBitextMining":0.21776518181818183,"STSBenchmark":0.864214,"StackOverflowQA":0.70095,"MultiEURLEXMultilabelClassification":0.028066086956521737,"NorwegianCourtsBitextMining":0.901316,"PlscClusteringP2P.v2":0.721831,"ToxicConversationsClassification":0.654199,"BrazilianToxicTweetsClassification":0.167432,"IndicLangClassification":0.151095,"News21InstructionRetrieval":-0.00316,"GujaratiNewsClassification":0.457587,"SiswatiNewsClassification":0.71625,"STS17":0.35630545454545454,"NollySentiBitextMining":0.28317200000000003,"STS15":0.8817,"TempReasonL1":0.0139,"MedrxivClusteringP2P.v2":0.375717,"TRECCOVID":0.41243,"NepaliNewsClassification":0.40752,"ArmenianParaphrasePC":0.829569,"AmazonCounterfactualClassification":0.653863,"KorHateSpeechMLClassification":0.02052,"BelebeleRetrieval":0.23265039893617023,"AlloprofReranking":0.504514,"NordicLangClassification":0.4962,"StatcanDialogueDatasetRetrieval":0.1788,"RuBQReranking":0.158692,"STSES":0.673884,"WikiClusteringP2P.v2":0.24505921428571428,"FinParaSTS":0.067164,"OpusparcusPC":0.8585046666666667,"CataloniaTweetClassification":0.45625175,"GermanSTSBenchmark":0.6501064999999999,"SwissJudgementClassification":0.5199079999999999,"MLQARetrieval":0.14366255102040815,"SwednClusteringP2P":0.2477515,"DBpediaClassification":0.862451,"HagridRetrieval":0.98687,"TswanaNewsClassification":0.26961,"WikipediaRetrievalMultilingual":0.36243375,"ArguAna":0.59993,"MIRACLRetrievalHardNegatives":0.052367222222222225,"IsiZuluNewsClassification":0.242287,"DiaBlaBitextMining":0.05029,"LegalBenchCorporateLobbying":0.90864,"EstonianValenceClassification":0.290831,"SinhalaNewsClassification":0.384717,"SprintDuplicateQuestions":0.961705,"CovidRetrieval":0.00137,"IndicCrosslingualSTS":0.07787466666666668,"Core17InstructionRetrieval":-0.018321,"RTE3":0.87429275,"BibleNLPBitextMining":0.01464384963768116,"AfriSentiClassification":0.39244983333333333,"PAC":0.6587315377932232,"VoyageMMarcoReranking":0.145586,"GreekLegalCodeClassification":0.0242675,"KurdishSentimentClassification":0.583694,"Robust04InstructionRetrieval":-0.081814,"TERRa":0.452103,"indonli":0.484787,"SpartQA":0.06707,"SentimentAnalysisHindi":0.335972,"ItaCaseholdClassification":0.842081,"OdiaNewsClassification":0.578371,"MasakhaNEWSClassification":0.6159915625,"FinancialPhrasebankClassification":0.799956,"ArXivHierarchicalClusteringP2P":0.606571,"CLSClusteringP2P.v2":0.101686,"CTKFactsNLI":0.7376875,"JSICK":0.019684,"STSB":0.0273505,"FloresBitextMining":0.12707233888727906,"MacedonianTweetSentimentClassification":0.288762,"TweetTopicSingleClassification":0.722209,"SIB200ClusteringS2S":0.0806195228426396,"HALClusteringS2S.v2":0.211766,"BulgarianStoreReviewSentimentClassfication":0.317033,"CzechProductReviewSentimentClassification":0.437061,"PawsXPairClassification":0.49858685714285716,"FilipinoShopeeReviewsClassification":0.28464350000000005,"SemRel24STS":0.25189225,"BigPatentClustering.v2":0.354691,"ArXivHierarchicalClusteringS2S":0.53796,"AILAStatutes":0.18814,"MultiHateClassification":0.5590090909090909,"MasakhaNEWSClusteringS2S":0.418126125,"DalajClassification":0.501014,"T2Reranking":0.549738,"WebLINXCandidatesReranking":0.083162,"KorSarcasmClassification":0.526074,"NusaX-senti":0.5802291666666667,"StackExchangeClustering.v2":0.542221,"Tatoeba":0.07120942857142858,"PolEmo2.0-OUT":0.4659919028340081,"RomaniBibleClustering":0.371307,"STS22.v2":0.4812725,"PoemSentimentClassification":0.541131,"IndicGenBenchFloresBitextMining":0.05365772413793103},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":130,"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":{"Classification":0.5723644963199022,"Clustering":0.41258558103415066,"PairClassification":0.7679610281485325,"Reranking":0.5545868541666666,"Retrieval":0.43072489307090056,"InstructionReranking":-0.008510999999999998},"scoresByTask":{"ScalaClassification":0.51634525,"IndonesianIdClickbaitClassification":0.60017,"SICK-R":0.836969699802343,"SCIDOCS":0.22497,"PunjabiNewsClassification":0.581529,"AlloProfClusteringS2S.v2":0.302643,"SlovakMovieReviewSentimentClassification":0.646533,"WikipediaRerankingMultilingual":0.835129625,"NusaParagraphEmotionClassification":0.3806121,"MassiveIntentClassification":0.5657671470588236,"STS13":0.8637435789895171,"CyrillicTurkicLangClassification":0.74292,"CSFDSKMovieReviewSentimentClassification":0.299756,"XNLI":0.6437343571428571,"CEDRClassification":0.392774,"WinoGrande":0.57747,"TwitterURLCorpus":0.8655972191277392,"PpcPC":0.794905,"TwitterHjerneRetrieval":0.18225,"STS12":0.7880312217691351,"LEMBPasskeyRetrieval":0.1475,"SwahiliNewsClassification":0.614258,"BiorxivClusteringP2P.v2":0.388299,"STS14":0.8404036612478626,"FaroeseSTS":0.560912,"WikiCitiesClustering":0.876943,"STSBenchmark":0.8865370934976113,"StackOverflowQA":0.79028,"PlscClusteringP2P.v2":0.687617,"ToxicConversationsClassification":0.6926140000000001,"IndicLangClassification":0.868529,"News21InstructionRetrieval":0.002583,"GujaratiNewsClassification":0.541199,"SiswatiNewsClassification":0.75,"STS15":0.8899055778929946,"TempReasonL1":0.00718,"MedrxivClusteringP2P.v2":0.361269,"TRECCOVID":0.77692,"NepaliNewsClassification":0.888623,"ArmenianParaphrasePC":0.90903,"AmazonCounterfactualClassification":0.78759875,"BelebeleRetrieval":0.3886981914893617,"AlloprofReranking":0.66338,"NordicLangClassification":0.6953,"StatcanDialogueDatasetRetrieval":0.4058,"RuBQReranking":0.662601,"STSES":0.745069,"WikiClusteringP2P.v2":0.26171335714285715,"FinParaSTS":0.1228635,"OpusparcusPC":0.9195688333333334,"CataloniaTweetClassification":0.4847605,"GermanSTSBenchmark":0.696469,"SwissJudgementClassification":0.556426,"MLQARetrieval":0.3983322448979592,"SwednClusteringP2P":0.3804895,"DBpediaClassification":0.915381,"HagridRetrieval":0.98692,"TswanaNewsClassification":0.311704,"WikipediaRetrievalMultilingual":0.77665875,"ArguAna":0.57483,"MIRACLRetrievalHardNegatives":0.29232888888888886,"IsiZuluNewsClassification":0.265293,"LegalBenchCorporateLobbying":0.81542,"EstonianValenceClassification":0.333863,"SinhalaNewsClassification":0.47749,"SprintDuplicateQuestions":0.9681785428870713,"CovidRetrieval":0.0839,"IndicCrosslingualSTS":0.11996699999999999,"Core17InstructionRetrieval":0.012983,"RTE3":0.8901574999999999,"AfriSentiClassification":0.42153666666666667,"PAC":0.681958,"VoyageMMarcoReranking":0.479265,"GreekLegalCodeClassification":0.2689455,"KurdishSentimentClassification":0.599648,"Robust04InstructionRetrieval":-0.041099,"TERRa":0.55083,"indonli":0.524215,"SpartQA":0.02145,"SentimentAnalysisHindi":0.45193,"ItaCaseholdClassification":0.920814,"OdiaNewsClassification":0.466052,"MasakhaNEWSClassification":0.676055125,"FinancialPhrasebankClassification":0.82606,"ArXivHierarchicalClusteringP2P":0.568412,"CLSClusteringP2P.v2":0.369034,"CTKFactsNLI":0.7664435,"JSICK":0.77398,"STSB":0.6950265,"MacedonianTweetSentimentClassification":0.486479,"TweetTopicSingleClassification":0.703957,"SIB200ClusteringS2S":0.1524481269035533,"HALClusteringS2S.v2":0.245256,"BulgarianStoreReviewSentimentClassfication":0.564286,"CzechProductReviewSentimentClassification":0.525781,"PawsXPairClassification":0.614911357142857,"FilipinoShopeeReviewsClassification":0.3366945,"SemRel24STS":0.5175863333333334,"BigPatentClustering.v2":0.220962,"ArXivHierarchicalClusteringS2S":0.517641,"AILAStatutes":0.30214,"MultiHateClassification":0.6059636363636364,"MasakhaNEWSClusteringS2S":0.3558803125,"DalajClassification":0.50045,"T2Reranking":0.625821,"WebLINXCandidatesReranking":0.061324500000000004,"KorSarcasmClassification":0.563184,"NusaX-senti":0.6036041666666666,"StackExchangeClustering.v2":0.524789,"PolEmo2.0-OUT":0.418421,"RomaniBibleClustering":0.387973,"STS22.v2":0.6203485,"PoemSentimentClassification":0.473182},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","T2Reranking"],"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":{"Classification":0.47113306452400194,"Clustering":0.3905153301013505,"PairClassification":0.715760981195049,"Reranking":0.4427168854166667,"Retrieval":0.3965567835666575,"InstructionReranking":-0.014932666666666669,"BitextMining":0.22561662300745933,"MultilabelClassification":0.16024198260869565},"scoresByTask":{"ScalaClassification":0.500122,"IndonesianIdClickbaitClassification":0.559555,"SICK-R":0.6932425977603488,"SCIDOCS":0.21361,"PunjabiNewsClassification":0.644586,"AlloProfClusteringS2S.v2":0.377951,"SlovakMovieReviewSentimentClassification":0.568555,"WikipediaRerankingMultilingual":0.7021168125,"NTREXBitextMining":0.17786839770354904,"NusaParagraphEmotionClassification":0.2683742,"MassiveIntentClassification":0.2739723529411765,"STS13":0.7748991626780107,"CyrillicTurkicLangClassification":0.540186,"CSFDSKMovieReviewSentimentClassification":0.218359,"XNLI":0.5576461785714286,"CEDRClassification":0.310733,"WinoGrande":0.433,"IN22GenBitextMining":0.03198884387351778,"NusaTranslationBitextMining":0.6483054545454545,"TwitterURLCorpus":0.8484152743322607,"PpcPC":0.733093,"TwitterHjerneRetrieval":0.07392,"MalteseNewsClassification":0.189813,"STS12":0.6785470749045026,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.18114624999999998,"SwahiliNewsClassification":0.492969,"BiorxivClusteringP2P.v2":0.388528,"STS14":0.6977157648098141,"BornholmBitextMining":0.262686,"FaroeseSTS":0.590645,"WikiCitiesClustering":0.8553143892630151,"NusaXBitextMining":0.24681136363636363,"STSBenchmark":0.7567875747588545,"StackOverflowQA":0.89673,"MultiEURLEXMultilabelClassification":0.026953913043478262,"NorwegianCourtsBitextMining":0.861111,"PlscClusteringP2P.v2":0.642763,"ToxicConversationsClassification":0.647092,"BrazilianToxicTweetsClassification":0.232031,"IndicLangClassification":0.442633,"News21InstructionRetrieval":0.001653,"GujaratiNewsClassification":0.44742,"SiswatiNewsClassification":0.44875,"NollySentiBitextMining":0.21115325,"STS15":0.8016458787843023,"TempReasonL1":0.0173,"MedrxivClusteringP2P.v2":0.344783,"TRECCOVID":0.80716,"NepaliNewsClassification":0.543604,"ArmenianParaphrasePC":0.86661,"AmazonCounterfactualClassification":0.5834545,"KorHateSpeechMLClassification":0.041679,"BelebeleRetrieval":0.31208662234042556,"AlloprofReranking":0.700967,"NordicLangClassification":0.5525,"StatcanDialogueDatasetRetrieval":0.21021,"RuBQReranking":0.329512,"STSES":0.604409,"WikiClusteringP2P.v2":0.23510085714285717,"FinParaSTS":0.18348550000000002,"OpusparcusPC":0.84862875,"CataloniaTweetClassification":0.467506,"GermanSTSBenchmark":0.5383065,"SwissJudgementClassification":0.5296460000000001,"MLQARetrieval":0.24280020408163264,"SwednClusteringP2P":0.1968925,"DBpediaClassification":0.866113,"HagridRetrieval":0.98795,"TswanaNewsClassification":0.259138,"WikipediaRetrievalMultilingual":0.5482225,"ArguAna":0.59086,"MIRACLRetrievalHardNegatives":0.1858627777777778,"IsiZuluNewsClassification":0.250399,"DiaBlaBitextMining":0.131656,"LegalBenchCorporateLobbying":0.93436,"EstonianValenceClassification":0.294866,"SinhalaNewsClassification":0.369922,"SprintDuplicateQuestions":0.9522680188132777,"CovidRetrieval":0.0188,"IndicCrosslingualSTS":0.10954291666666666,"Core17InstructionRetrieval":0.021006,"RTE3":0.860692,"BibleNLPBitextMining":0.00931565157004831,"AfriSentiClassification":0.39500716666666663,"PAC":0.639328,"VoyageMMarcoReranking":0.27969,"GreekLegalCodeClassification":0.033911,"KurdishSentimentClassification":0.600302,"Robust04InstructionRetrieval":-0.067457,"TERRa":0.477863,"indonli":0.484923,"SpartQA":0.0065,"SentimentAnalysisHindi":0.375468,"ItaCaseholdClassification":0.662443,"OdiaNewsClassification":0.605319,"MasakhaNEWSClassification":0.6111703125,"FinancialPhrasebankClassification":0.690239,"ArXivHierarchicalClusteringP2P":0.563437,"CLSClusteringP2P.v2":0.188057,"CTKFactsNLI":0.712475,"JSICK":0.59806,"STSB":0.29897,"FloresBitextMining":0.11178552231237324,"MacedonianTweetSentimentClassification":0.289816,"TweetTopicSingleClassification":0.689604,"SIB200ClusteringS2S":0.07890084771573604,"HALClusteringS2S.v2":0.258149,"BulgarianStoreReviewSentimentClassfication":0.33956,"CzechProductReviewSentimentClassification":0.431592,"PawsXPairClassification":0.5307565714285715,"FilipinoShopeeReviewsClassification":0.267798,"SemRel24STS":0.3192643333333333,"BigPatentClustering.v2":0.223451,"ArXivHierarchicalClusteringS2S":0.582928,"AILAStatutes":0.27365,"MultiHateClassification":0.5527909090909091,"MasakhaNEWSClusteringS2S":0.3863116875,"DalajClassification":0.503041,"T2Reranking":0.564014,"WebLINXCandidatesReranking":0.0800015,"KorSarcasmClassification":0.525146,"NusaX-senti":0.5677708333333333,"StackExchangeClustering.v2":0.566869,"Tatoeba":0.04142284821428571,"PolEmo2.0-OUT":0.271862,"RomaniBibleClustering":0.358809,"STS22.v2":0.43443716666666665,"PoemSentimentClassification":0.4368315,"IndicGenBenchFloresBitextMining":0.01776551724137931},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":132,"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":{"Classification":0.48437087037811427,"Clustering":0.3756458204116434,"PairClassification":0.7152822955347465,"Reranking":0.44072136805555556,"Retrieval":0.34424490586118217,"InstructionReranking":-0.02218233333333333,"BitextMining":0.22850497881625442,"MultilabelClassification":0.15626853913043476},"scoresByTask":{"ScalaClassification":0.500659,"IndonesianIdClickbaitClassification":0.541213,"SICK-R":0.7563155962642634,"SCIDOCS":0.18636,"PunjabiNewsClassification":0.633758,"AlloProfClusteringS2S.v2":0.289179,"SlovakMovieReviewSentimentClassification":0.537109,"WikipediaRerankingMultilingual":0.730623375,"NTREXBitextMining":0.16077232985386222,"NusaParagraphEmotionClassification":0.2837691,"MassiveIntentClassification":0.3452362647058823,"STS13":0.8054473705232682,"CyrillicTurkicLangClassification":0.634619,"CSFDSKMovieReviewSentimentClassification":0.21167,"XNLI":0.5889008571428571,"CEDRClassification":0.329224,"WinoGrande":0.14334,"IN22GenBitextMining":0.045603252964426876,"NusaTranslationBitextMining":0.5850709090909091,"TwitterURLCorpus":0.8508920672765428,"PpcPC":0.703634,"TwitterHjerneRetrieval":0.11278,"MalteseNewsClassification":0.195951,"STS12":0.6858158236004102,"LEMBPasskeyRetrieval":0.3825,"BUCC.v2":0.13457425,"SwahiliNewsClassification":0.487451,"BiorxivClusteringP2P.v2":0.414341,"STS14":0.7762868051470301,"BornholmBitextMining":0.344061,"FaroeseSTS":0.699027,"WikiCitiesClustering":0.810401,"NusaXBitextMining":0.21657563636363636,"STSBenchmark":0.8424952159575492,"StackOverflowQA":0.72512,"MultiEURLEXMultilabelClassification":0.024668695652173913,"NorwegianCourtsBitextMining":0.903509,"PlscClusteringP2P.v2":0.63342,"ToxicConversationsClassification":0.65458984375,"BrazilianToxicTweetsClassification":0.203418,"IndicLangClassification":0.427457,"News21InstructionRetrieval":-0.009284,"GujaratiNewsClassification":0.415933,"SiswatiNewsClassification":0.76625,"NollySentiBitextMining":0.2985905,"STS15":0.8615687211744393,"TempReasonL1":0.0088,"MedrxivClusteringP2P.v2":0.366592,"TRECCOVID":0.60324,"NepaliNewsClassification":0.450586,"ArmenianParaphrasePC":0.878657,"AmazonCounterfactualClassification":0.663299875,"KorHateSpeechMLClassification":0.028081,"BelebeleRetrieval":0.22698018617021276,"AlloprofReranking":0.590226,"NordicLangClassification":0.5226,"StatcanDialogueDatasetRetrieval":0.12814,"RuBQReranking":0.32507,"STSES":0.677125,"WikiClusteringP2P.v2":0.237083,"FinParaSTS":0.1021665,"OpusparcusPC":0.8765358333333334,"CataloniaTweetClassification":0.440623,"GermanSTSBenchmark":0.6810339999999999,"SwissJudgementClassification":0.5343483333333333,"MLQARetrieval":0.16408193877551022,"SwednClusteringP2P":0.200671,"DBpediaClassification":0.900342,"HagridRetrieval":0.9874,"TswanaNewsClassification":0.261191,"WikipediaRetrievalMultilingual":0.495950625,"ArguAna":0.55783,"MIRACLRetrievalHardNegatives":0.11790555555555556,"IsiZuluNewsClassification":0.254521,"DiaBlaBitextMining":0.088222,"LegalBenchCorporateLobbying":0.90486,"EstonianValenceClassification":0.287042,"SinhalaNewsClassification":0.383936,"SprintDuplicateQuestions":0.9511999931294784,"CovidRetrieval":0.15753,"IndicCrosslingualSTS":0.0025066666666666653,"Core17InstructionRetrieval":-0.009641,"RTE3":0.857082,"BibleNLPBitextMining":0.011730484903381641,"AfriSentiClassification":0.3711433333333334,"PAC":0.605908,"VoyageMMarcoReranking":0.303166,"GreekLegalCodeClassification":0.033252000000000004,"KurdishSentimentClassification":0.562808,"Robust04InstructionRetrieval":-0.047622,"TERRa":0.441301,"indonli":0.484901,"SpartQA":0.0148,"SentimentAnalysisHindi":0.350818,"ItaCaseholdClassification":0.824887,"OdiaNewsClassification":0.583239,"MasakhaNEWSClassification":0.6020488125,"FinancialPhrasebankClassification":0.762102,"ArXivHierarchicalClusteringP2P":0.573228,"CLSClusteringP2P.v2":0.177264,"CTKFactsNLI":0.713715,"JSICK":0.675797,"STSB":0.4629725,"FloresBitextMining":0.1020969399449435,"MacedonianTweetSentimentClassification":0.363126,"TweetTopicSingleClassification":0.669817,"SIB200ClusteringS2S":0.056063939086294416,"HALClusteringS2S.v2":0.157886,"BulgarianStoreReviewSentimentClassfication":0.326374,"CzechProductReviewSentimentClassification":0.432959,"PawsXPairClassification":0.5212865,"FilipinoShopeeReviewsClassification":0.27326700000000004,"SemRel24STS":0.3757251666666666,"BigPatentClustering.v2":0.299989,"ArXivHierarchicalClusteringS2S":0.535422,"AILAStatutes":0.27879,"MultiHateClassification":0.5486363636363637,"MasakhaNEWSClusteringS2S":0.3685791875,"DalajClassification":0.506306,"T2Reranking":0.60909,"WebLINXCandidatesReranking":0.08615283333333333,"KorSarcasmClassification":0.543604,"NusaX-senti":0.5326875,"StackExchangeClustering.v2":0.512396,"Tatoeba":0.04643772321428571,"PolEmo2.0-OUT":0.293927,"RomaniBibleClustering":0.377818,"STS22.v2":0.5210503888888889,"PoemSentimentClassification":0.502834,"IndicGenBenchFloresBitextMining":0.033320698275862065},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":133,"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":{"PairClassification":0.7166985060170344,"Reranking":0.4165529548611111,"Retrieval":0.3929647560415025,"InstructionReranking":-0.018891333333333333,"BitextMining":0.22764602480613094,"MultilabelClassification":0.16324946956521738},"scoresByTask":{"ScalaClassification":0.501062,"IndonesianIdClickbaitClassification":0.537502,"SICK-R":0.7091162732446628,"SCIDOCS":0.2047,"PunjabiNewsClassification":0.667516,"AlloProfClusteringS2S.v2":0.359116,"SlovakMovieReviewSentimentClassification":0.559131,"WikipediaRerankingMultilingual":0.6932105625,"NTREXBitextMining":0.18661414300626306,"NusaParagraphEmotionClassification":0.2564091,"MassiveIntentClassification":0.27962846078431375,"STS13":0.7982293444619499,"CyrillicTurkicLangClassification":0.587988,"CSFDSKMovieReviewSentimentClassification":0.2125,"XNLI":0.5672707499999999,"CEDRClassification":0.319607,"WinoGrande":0.64711,"IN22GenBitextMining":0.037987355731225296,"NusaTranslationBitextMining":0.6233441818181817,"TwitterURLCorpus":0.8520971719214487,"PpcPC":0.713423,"TwitterHjerneRetrieval":0.11559,"MalteseNewsClassification":0.227688,"STS12":0.6610824660353681,"LEMBPasskeyRetrieval":0.36,"BUCC.v2":0.1508535,"SwahiliNewsClassification":0.454883,"BiorxivClusteringP2P.v2":0.372768,"STS14":0.7363809739428072,"BornholmBitextMining":0.304881,"FaroeseSTS":0.598146,"WikiCitiesClustering":0.8563474850264893,"NusaXBitextMining":0.28069272727272726,"STSBenchmark":0.7789671867168987,"StackOverflowQA":0.89846,"MultiEURLEXMultilabelClassification":0.02126434782608696,"NorwegianCourtsBitextMining":0.858918,"PlscClusteringP2P.v2":0.640907,"ToxicConversationsClassification":0.66739,"BrazilianToxicTweetsClassification":0.196387,"IndicLangClassification":0.462529,"News21InstructionRetrieval":-0.003927,"GujaratiNewsClassification":0.481259,"SiswatiNewsClassification":0.41375,"NollySentiBitextMining":0.240211,"STS15":0.8323485786963107,"TempReasonL1":0.0157,"MedrxivClusteringP2P.v2":0.348386,"TRECCOVID":0.81698,"NepaliNewsClassification":0.551709,"ArmenianParaphrasePC":0.875138,"AmazonCounterfactualClassification":0.584447875,"KorHateSpeechMLClassification":0.051301,"BelebeleRetrieval":0.30272880319148937,"AlloprofReranking":0.582351,"NordicLangClassification":0.4813,"StatcanDialogueDatasetRetrieval":0.10345499999999999,"RuBQReranking":0.306202,"STSES":0.681952,"WikiClusteringP2P.v2":0.23223,"FinParaSTS":0.092913,"OpusparcusPC":0.8605435,"CataloniaTweetClassification":0.47711000000000003,"GermanSTSBenchmark":0.5706675,"SwissJudgementClassification":0.5283646666666666,"MLQARetrieval":0.22723500000000002,"SwednClusteringP2P":0.22719050000000002,"DBpediaClassification":0.89668,"HagridRetrieval":0.98847,"TswanaNewsClassification":0.237782,"WikipediaRetrievalMultilingual":0.48369625,"ArguAna":0.60364,"MIRACLRetrievalHardNegatives":0.12649055555555555,"IsiZuluNewsClassification":0.249468,"DiaBlaBitextMining":0.089693,"LegalBenchCorporateLobbying":0.93313,"EstonianValenceClassification":0.300367,"SinhalaNewsClassification":0.384814,"SprintDuplicateQuestions":0.9467482871230737,"CovidRetrieval":0.004,"IndicCrosslingualSTS":0.10010741666666667,"Core17InstructionRetrieval":0.006299,"RTE3":0.8576435,"BibleNLPBitextMining":0.008844482487922706,"AfriSentiClassification":0.39396800000000004,"PAC":0.633131,"VoyageMMarcoReranking":0.255518,"GreekLegalCodeClassification":0.014404,"KurdishSentimentClassification":0.605234,"Robust04InstructionRetrieval":-0.059046,"TERRa":0.463423,"indonli":0.488977,"SpartQA":0.02574,"SentimentAnalysisHindi":0.402126,"ItaCaseholdClassification":0.41629,"OdiaNewsClassification":0.59868,"FinancialPhrasebankClassification":0.692049,"ArXivHierarchicalClusteringP2P":0.572668,"CLSClusteringP2P.v2":0.177757,"CTKFactsNLI":0.734663,"JSICK":0.601388,"STSB":0.3760015,"FloresBitextMining":0.1236145722495895,"MacedonianTweetSentimentClassification":0.323003,"TweetTopicSingleClassification":0.705966,"SIB200ClusteringS2S":0.07912711167512691,"HALClusteringS2S.v2":0.23526,"BulgarianStoreReviewSentimentClassfication":0.318681,"CzechProductReviewSentimentClassification":0.436084,"PawsXPairClassification":0.5237563571428571,"FilipinoShopeeReviewsClassification":0.268164,"SemRel24STS":0.380687,"BigPatentClustering.v2":0.294988,"ArXivHierarchicalClusteringS2S":0.554602,"AILAStatutes":0.21624,"MultiHateClassification":0.5518545454545455,"DalajClassification":0.500788,"T2Reranking":0.551705,"WebLINXCandidatesReranking":0.11033116666666666,"KorSarcasmClassification":0.515479,"NusaX-senti":0.5629583333333333,"StackExchangeClustering.v2":0.571214,"Tatoeba":0.0311336875,"PolEmo2.0-OUT":0.299798,"RomaniBibleClustering":0.343107,"STS22.v2":0.37561222222222224,"PoemSentimentClassification":0.4531185,"IndicGenBenchFloresBitextMining":0.022610672413793106},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":134,"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":{"STS":0.5704009244446415,"Clustering":0.3179312857341144,"PairClassification":0.7234818330175209,"Reranking":0.4349912118055556,"Retrieval":0.35268812382064724,"InstructionReranking":-0.030173999999999996,"BitextMining":0.2987588386565331,"MultilabelClassification":0.13256097391304347},"scoresByTask":{"ScalaClassification":0.50426025,"IndonesianIdClickbaitClassification":0.549057,"SICK-R":0.6981522686267632,"SCIDOCS":0.18619,"PunjabiNewsClassification":0.785987,"AlloProfClusteringS2S.v2":0.167101,"SlovakMovieReviewSentimentClassification":0.536914,"WikipediaRerankingMultilingual":0.6661649375,"NTREXBitextMining":0.16564545668058453,"NusaParagraphEmotionClassification":0.3434601,"STS13":0.7966529244176742,"CyrillicTurkicLangClassification":0.683545,"CSFDSKMovieReviewSentimentClassification":0.20835,"XNLI":0.5653907142857143,"CEDRClassification":0.325452,"WinoGrande":0.02003,"IN22GenBitextMining":0.18983728260869565,"NusaTranslationBitextMining":0.4459588181818182,"TwitterURLCorpus":0.8546387153880272,"PpcPC":0.673696,"TwitterHjerneRetrieval":0.11582,"MalteseNewsClassification":0.075664,"STS12":0.6966180222442091,"LEMBPasskeyRetrieval":0.1275,"BUCC.v2":0.4513395,"SwahiliNewsClassification":0.631445,"BiorxivClusteringP2P.v2":0.332526,"STS14":0.746076920702392,"BornholmBitextMining":0.255081,"FaroeseSTS":0.448365,"WikiCitiesClustering":0.813058,"NusaXBitextMining":0.3206119090909091,"STSBenchmark":0.8089611873505183,"StackOverflowQA":0.64413,"MultiEURLEXMultilabelClassification":0.023640869565217392,"NorwegianCourtsBitextMining":0.781433,"PlscClusteringP2P.v2":0.596617,"ToxicConversationsClassification":0.6654519999999999,"BrazilianToxicTweetsClassification":0.181592,"IndicLangClassification":0.787833,"News21InstructionRetrieval":-0.010396,"GujaratiNewsClassification":0.713961,"SiswatiNewsClassification":0.74,"STS17":0.655872638863636,"NollySentiBitextMining":0.22885275,"STS15":0.8380600789090722,"TempReasonL1":0.00335,"MedrxivClusteringP2P.v2":0.314385,"TRECCOVID":0.81368,"NepaliNewsClassification":0.891113,"ArmenianParaphrasePC":0.896248,"KorHateSpeechMLClassification":0.056456,"BelebeleRetrieval":0.2083954521276596,"AlloprofReranking":0.604692,"NordicLangClassification":0.5771,"StatcanDialogueDatasetRetrieval":0.312815,"RuBQReranking":0.332419,"STSES":0.714869,"WikiClusteringP2P.v2":0.22819357142857144,"FinParaSTS":0.0593905,"OpusparcusPC":0.8625081666666667,"CataloniaTweetClassification":0.46953575000000003,"GermanSTSBenchmark":0.4932115,"SwissJudgementClassification":0.5477286666666666,"MLQARetrieval":0.28562938775510205,"SwednClusteringP2P":0.012414499999999998,"DBpediaClassification":0.896582,"HagridRetrieval":0.97057,"TswanaNewsClassification":0.232033,"WikipediaRetrievalMultilingual":0.3532425,"ArguAna":0.47282,"MIRACLRetrievalHardNegatives":0.13143388888888888,"IsiZuluNewsClassification":0.245878,"DiaBlaBitextMining":0.280508,"LegalBenchCorporateLobbying":0.89559,"EstonianValenceClassification":0.294743,"SinhalaNewsClassification":0.401221,"SprintDuplicateQuestions":0.9492527097094644,"CovidRetrieval":0.50435,"IndicCrosslingualSTS":0.09793233333333333,"Core17InstructionRetrieval":-0.001173,"RTE3":0.872551,"BibleNLPBitextMining":0.026885094806763286,"AfriSentiClassification":0.371198,"PAC":0.628787,"VoyageMMarcoReranking":0.318902,"GreekLegalCodeClassification":0.1936275,"KurdishSentimentClassification":0.562758,"Robust04InstructionRetrieval":-0.078953,"TERRa":0.475586,"indonli":0.50841,"SpartQA":0.04358,"SentimentAnalysisHindi":0.429962,"ItaCaseholdClassification":0.943891,"OdiaNewsClassification":0.704135,"MasakhaNEWSClassification":0.5930598125,"FinancialPhrasebankClassification":0.669744,"ArXivHierarchicalClusteringP2P":0.52787,"CLSClusteringP2P.v2":0.296291,"CTKFactsNLI":0.7067650000000001,"JSICK":0.578796,"STSB":0.49429999999999996,"FloresBitextMining":0.09681681698541486,"MacedonianTweetSentimentClassification":0.360316,"TweetTopicSingleClassification":0.572002,"SIB200ClusteringS2S":0.024771187817258882,"HALClusteringS2S.v2":0.050981,"BulgarianStoreReviewSentimentClassfication":0.320879,"CzechProductReviewSentimentClassification":0.410986,"PawsXPairClassification":0.5932538571428572,"FilipinoShopeeReviewsClassification":0.2610105,"SemRel24STS":0.48233925000000005,"BigPatentClustering.v2":0.22106,"ArXivHierarchicalClusteringS2S":0.502851,"AILAStatutes":0.25926,"MultiHateClassification":0.5711181818181819,"MasakhaNEWSClusteringS2S":0.2848403125,"DalajClassification":0.502703,"T2Reranking":0.625014,"WebLINXCandidatesReranking":0.06275533333333333,"KorSarcasmClassification":0.530225,"NusaX-senti":0.5517500000000001,"StackExchangeClustering.v2":0.331096,"Tatoeba":0.29566935176695136,"PolEmo2.0-OUT":0.325101,"RomaniBibleClustering":0.382845,"STS22.v2":0.5168171666666667,"PoemSentimentClassification":0.4477795,"IndicGenBenchFloresBitextMining":0.34522592241379313},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":135,"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":{"STS":0.5995260280934344,"Classification":0.5059153451540024,"Clustering":0.32931885360768676,"PairClassification":0.7163530508658009,"Reranking":0.45944961805555556,"Retrieval":0.38538856374267594,"InstructionReranking":-0.015846000000000002,"BitextMining":0.37228061867400497,"MultilabelClassification":0.12928798260869567},"scoresByTask":{"ScalaClassification":0.5005005,"IndonesianIdClickbaitClassification":0.532299,"SICK-R":0.602781,"SCIDOCS":0.09164,"PunjabiNewsClassification":0.819745,"AlloProfClusteringS2S.v2":0.188928,"SlovakMovieReviewSentimentClassification":0.57749,"WikipediaRerankingMultilingual":0.797156875,"NTREXBitextMining":0.31913415083507307,"NusaParagraphEmotionClassification":0.3194204,"MassiveIntentClassification":0.4803718431372549,"STS13":0.69157,"CyrillicTurkicLangClassification":0.662012,"CSFDSKMovieReviewSentimentClassification":0.235791,"XNLI":0.6336801785714286,"CEDRClassification":0.334591,"WinoGrande":0.31989,"IN22GenBitextMining":0.1926069723320158,"NusaTranslationBitextMining":0.5643627272727273,"TwitterURLCorpus":0.800795,"PpcPC":0.720668,"TwitterHjerneRetrieval":0.29332,"MalteseNewsClassification":0.048063,"STS12":0.620018,"LEMBPasskeyRetrieval":1.0,"BUCC.v2":0.70309175,"SwahiliNewsClassification":0.530469,"BiorxivClusteringP2P.v2":0.290372,"STS14":0.677744,"BornholmBitextMining":0.314835,"FaroeseSTS":0.653181,"WikiCitiesClustering":0.592511,"NusaXBitextMining":0.3167413636363636,"STSBenchmark":0.699455,"StackOverflowQA":0.42174,"MultiEURLEXMultilabelClassification":0.02729391304347826,"NorwegianCourtsBitextMining":0.925439,"PlscClusteringP2P.v2":0.640621,"ToxicConversationsClassification":0.567236,"BrazilianToxicTweetsClassification":0.187842,"IndicLangClassification":0.613933,"News21InstructionRetrieval":-0.016302,"GujaratiNewsClassification":0.591351,"SiswatiNewsClassification":0.5575,"STS17":0.5762867272727273,"NollySentiBitextMining":0.26258875,"STS15":0.779589,"TempReasonL1":0.00882,"MedrxivClusteringP2P.v2":0.29492,"TRECCOVID":0.43799,"NepaliNewsClassification":0.863672,"ArmenianParaphrasePC":0.924831,"AmazonCounterfactualClassification":0.717712875,"KorHateSpeechMLClassification":0.04865,"BelebeleRetrieval":0.3296306382978723,"AlloprofReranking":0.43847,"NordicLangClassification":0.491833,"StatcanDialogueDatasetRetrieval":0.02499,"RuBQReranking":0.44196,"STSES":0.686161,"WikiClusteringP2P.v2":0.2007870714285714,"FinParaSTS":0.113625,"OpusparcusPC":0.8791314166666666,"CataloniaTweetClassification":0.45247525,"GermanSTSBenchmark":0.706253,"SwissJudgementClassification":0.5323526666666667,"MLQARetrieval":0.3277848979591837,"SwednClusteringP2P":0.2452445,"DBpediaClassification":0.816504,"HagridRetrieval":0.9536,"TswanaNewsClassification":0.279671,"WikipediaRetrievalMultilingual":0.6573225,"ArguAna":0.34729,"MIRACLRetrievalHardNegatives":0.19102611111111112,"IsiZuluNewsClassification":0.25625,"DiaBlaBitextMining":0.348851,"LegalBenchCorporateLobbying":0.8291,"EstonianValenceClassification":0.316137,"SinhalaNewsClassification":0.604834,"SprintDuplicateQuestions":0.86299,"CovidRetrieval":0.42047,"IndicCrosslingualSTS":0.15392841666666665,"Core17InstructionRetrieval":-0.027484,"RTE3":0.8584547499999999,"BibleNLPBitextMining":0.02541194082125604,"AfriSentiClassification":0.37405441666666667,"PAC":0.622792,"VoyageMMarcoReranking":0.37659,"GreekLegalCodeClassification":0.108057,"KurdishSentimentClassification":0.604026,"Robust04InstructionRetrieval":-0.003752,"TERRa":0.548104,"indonli":0.489874,"SpartQA":0.16957,"SentimentAnalysisHindi":0.468314,"ItaCaseholdClassification":0.506787,"OdiaNewsClassification":0.568125,"MasakhaNEWSClassification":0.606217875,"FinancialPhrasebankClassification":0.66091,"ArXivHierarchicalClusteringP2P":0.497028,"CLSClusteringP2P.v2":0.316522,"CTKFactsNLI":0.6954595,"JSICK":0.792777,"STSB":0.7014255,"FloresBitextMining":0.13795051132521974,"MacedonianTweetSentimentClassification":0.430729,"TweetTopicSingleClassification":0.416775,"SIB200ClusteringS2S":0.07581608629441625,"HALClusteringS2S.v2":0.071231,"BulgarianStoreReviewSentimentClassfication":0.451099,"CzechProductReviewSentimentClassification":0.460059,"PawsXPairClassification":0.4658957142857143,"FilipinoShopeeReviewsClassification":0.2887695,"SemRel24STS":0.5691119166666666,"BigPatentClustering.v2":0.28539,"ArXivHierarchicalClusteringS2S":0.482846,"AILAStatutes":0.11281,"MultiHateClassification":0.5527181818181819,"MasakhaNEWSClusteringS2S":0.325286,"DalajClassification":0.5,"T2Reranking":0.645,"WebLINXCandidatesReranking":0.057520833333333334,"KorSarcasmClassification":0.543994,"NusaX-senti":0.5852708333333333,"StackExchangeClustering.v2":0.391715,"Tatoeba":0.27633366964285716,"PolEmo2.0-OUT":0.317814,"RomaniBibleClustering":0.369884,"STS22.v2":0.5685098888888889,"PoemSentimentClassification":0.3682875,"IndicGenBenchFloresBitextMining":0.45230120689655173},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":136,"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":{"Classification":0.4648710804102931,"Clustering":0.38337959366785257,"PairClassification":0.7130805134129763,"Reranking":0.4144698819444445,"Retrieval":0.3329765280072825,"InstructionReranking":-0.01943066666666667,"BitextMining":0.22749345628939643,"MultilabelClassification":0.15052865217391304},"scoresByTask":{"ScalaClassification":0.50152575,"IndonesianIdClickbaitClassification":0.536111,"SICK-R":0.7909232997136626,"SCIDOCS":0.21438,"PunjabiNewsClassification":0.56242,"AlloProfClusteringS2S.v2":0.305881,"SlovakMovieReviewSentimentClassification":0.540674,"WikipediaRerankingMultilingual":0.674288125,"NTREXBitextMining":0.16563524843423802,"NusaParagraphEmotionClassification":0.26726079999999997,"MassiveIntentClassification":0.267030068627451,"STS13":0.8326431569305103,"CyrillicTurkicLangClassification":0.594922,"CSFDSKMovieReviewSentimentClassification":0.208252,"XNLI":0.59241325,"CEDRClassification":0.336344,"WinoGrande":0.33723,"IN22GenBitextMining":0.047482310276679845,"NusaTranslationBitextMining":0.5981682727272727,"TwitterURLCorpus":0.8558148320880877,"PpcPC":0.688274,"TwitterHjerneRetrieval":0.06127,"MalteseNewsClassification":0.134349,"STS12":0.7503945035801913,"LEMBPasskeyRetrieval":0.27999999999999997,"BUCC.v2":0.12222575,"SwahiliNewsClassification":0.414209,"BiorxivClusteringP2P.v2":0.4112,"STS14":0.7861877889763109,"BornholmBitextMining":0.339179,"FaroeseSTS":0.661382,"WikiCitiesClustering":0.789979,"NusaXBitextMining":0.19818099999999997,"STSBenchmark":0.8440071593577094,"StackOverflowQA":0.81756,"MultiEURLEXMultilabelClassification":0.023798260869565217,"NorwegianCourtsBitextMining":0.915205,"PlscClusteringP2P.v2":0.625621,"ToxicConversationsClassification":0.729014,"BrazilianToxicTweetsClassification":0.222217,"IndicLangClassification":0.435196,"News21InstructionRetrieval":0.006106,"GujaratiNewsClassification":0.434219,"SiswatiNewsClassification":0.48625,"NollySentiBitextMining":0.27562400000000004,"STS15":0.87034943318414,"TempReasonL1":0.01019,"MedrxivClusteringP2P.v2":0.382434,"TRECCOVID":0.51468,"NepaliNewsClassification":0.463623,"ArmenianParaphrasePC":0.881797,"AmazonCounterfactualClassification":0.65681875,"KorHateSpeechMLClassification":0.035935,"BelebeleRetrieval":0.2197269414893617,"AlloprofReranking":0.618893,"NordicLangClassification":0.514533,"StatcanDialogueDatasetRetrieval":0.1437225,"RuBQReranking":0.280985,"STSES":0.676335,"WikiClusteringP2P.v2":0.24196342857142858,"FinParaSTS":0.14455449999999997,"OpusparcusPC":0.874653,"CataloniaTweetClassification":0.44784775,"GermanSTSBenchmark":0.6785515,"SwissJudgementClassification":0.5533583333333333,"MLQARetrieval":0.14784632653061225,"SwednClusteringP2P":0.1789715,"DBpediaClassification":0.844678,"HagridRetrieval":0.98755,"TswanaNewsClassification":0.263244,"WikipediaRetrievalMultilingual":0.427830625,"ArguAna":0.51255,"MIRACLRetrievalHardNegatives":0.0779611111111111,"IsiZuluNewsClassification":0.228059,"DiaBlaBitextMining":0.085416,"LegalBenchCorporateLobbying":0.90447,"EstonianValenceClassification":0.283374,"SinhalaNewsClassification":0.374365,"SprintDuplicateQuestions":0.9414261011689367,"CovidRetrieval":0.01131,"IndicCrosslingualSTS":-0.018949416666666666,"Core17InstructionRetrieval":0.011106,"RTE3":0.8557462499999999,"BibleNLPBitextMining":0.012592092995169083,"AfriSentiClassification":0.41010425,"PAC":0.588503,"VoyageMMarcoReranking":0.250728,"GreekLegalCodeClassification":0.026244999999999997,"KurdishSentimentClassification":0.568747,"Robust04InstructionRetrieval":-0.075504,"TERRa":0.446866,"indonli":0.48636,"SpartQA":0.02485,"SentimentAnalysisHindi":0.382329,"ItaCaseholdClassification":0.60724,"OdiaNewsClassification":0.524558,"MasakhaNEWSClassification":0.5852989375,"FinancialPhrasebankClassification":0.764355,"ArXivHierarchicalClusteringP2P":0.590671,"CLSClusteringP2P.v2":0.140468,"CTKFactsNLI":0.6987685,"JSICK":0.675489,"STSB":0.4465475,"FloresBitextMining":0.11730650917608422,"MacedonianTweetSentimentClassification":0.345566,"TweetTopicSingleClassification":0.690608,"SIB200ClusteringS2S":0.0639505076142132,"HALClusteringS2S.v2":0.18175,"BulgarianStoreReviewSentimentClassfication":0.284615,"CzechProductReviewSentimentClassification":0.437793,"PawsXPairClassification":0.5217667142857143,"FilipinoShopeeReviewsClassification":0.279761,"SemRel24STS":0.3988513333333333,"BigPatentClustering.v2":0.376893,"ArXivHierarchicalClusteringS2S":0.548437,"AILAStatutes":0.30045,"MultiHateClassification":0.5440818181818181,"MasakhaNEWSClusteringS2S":0.3711830625,"DalajClassification":0.496171,"T2Reranking":0.574152,"WebLINXCandidatesReranking":0.08777316666666667,"KorSarcasmClassification":0.544189,"NusaX-senti":0.568375,"StackExchangeClustering.v2":0.542012,"Tatoeba":0.04657994642857143,"PolEmo2.0-OUT":0.212348,"RomaniBibleClustering":0.382659,"STS22.v2":0.43289183333333336,"PoemSentimentClassification":0.521584,"IndicGenBenchFloresBitextMining":0.03381980172413793},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MLQARetrieval","MassiveIntentClassification","ToxicConversationsClassification"],"experiments":null},{"rank":137,"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":0.6858168992823401,"PairClassification":0.7580438030303029,"BitextMining":0.6449661360314916},"scoresByTask":{"ScalaClassification":0.51064475,"IndonesianIdClickbaitClassification":0.632273,"SICK-R":0.789737,"SCIDOCS":0.22447,"AlloProfClusteringS2S.v2":0.514632,"SlovakMovieReviewSentimentClassification":0.782812,"WikipediaRerankingMultilingual":0.9100118125,"NTREXBitextMining":0.7413222854906054,"MassiveIntentClassification":0.5900689411764706,"STS13":0.800949,"CyrillicTurkicLangClassification":0.453662,"CSFDSKMovieReviewSentimentClassification":0.399268,"XNLI":0.6476081785714286,"CEDRClassification":0.391498,"WinoGrande":0.3909,"IN22GenBitextMining":0.7238081739130435,"NusaTranslationBitextMining":0.6699882727272727,"TwitterURLCorpus":0.843722,"PpcPC":0.894525,"TwitterHjerneRetrieval":0.88652,"STS12":0.673025,"LEMBPasskeyRetrieval":0.97,"BUCC.v2":0.98381525,"SwahiliNewsClassification":0.651807,"BiorxivClusteringP2P.v2":0.402445,"STS14":0.719759,"BornholmBitextMining":0.426862,"FaroeseSTS":0.744153,"NusaXBitextMining":0.6273161818181818,"STSBenchmark":0.757937,"NorwegianCourtsBitextMining":0.924708,"PlscClusteringP2P.v2":0.705436,"ToxicConversationsClassification":0.618848,"BrazilianToxicTweetsClassification":0.221191,"IndicLangClassification":0.387281,"GujaratiNewsClassification":0.821624,"SiswatiNewsClassification":0.6075,"STS17":0.7706250909090909,"NollySentiBitextMining":0.38596,"STS15":0.780676,"TempReasonL1":0.01365,"MedrxivClusteringP2P.v2":0.356732,"TRECCOVID":0.80106,"NepaliNewsClassification":0.945312,"ArmenianParaphrasePC":0.947943,"AmazonCounterfactualClassification":0.711995,"KorHateSpeechMLClassification":0.097104,"NordicLangClassification":0.584333,"STSES":0.766944,"WikiClusteringP2P.v2":0.2781177857142857,"FinParaSTS":0.270741,"OpusparcusPC":0.9498580833333333,"CataloniaTweetClassification":0.52809575,"GermanSTSBenchmark":0.7490220000000001,"SwissJudgementClassification":0.5782173333333334,"SwednClusteringP2P":0.3815015,"DBpediaClassification":0.926025,"HagridRetrieval":0.98896,"TswanaNewsClassification":0.394251,"ArguAna":0.61821,"IsiZuluNewsClassification":0.259973,"DiaBlaBitextMining":0.737409,"LegalBenchCorporateLobbying":0.95924,"EstonianValenceClassification":0.404523,"SinhalaNewsClassification":0.643506,"SprintDuplicateQuestions":0.810836,"IndicCrosslingualSTS":0.3503346666666667,"RTE3":0.869414,"BibleNLPBitextMining":0.10305480495169082,"AfriSentiClassification":0.39939791666666663,"PAC":0.705937,"VoyageMMarcoReranking":0.623511,"KurdishSentimentClassification":0.70302,"TERRa":0.514821,"indonli":0.509235,"SpartQA":0.1019,"SentimentAnalysisHindi":0.575662,"OdiaNewsClassification":0.686691,"FinancialPhrasebankClassification":0.797261,"ArXivHierarchicalClusteringP2P":0.58206,"CLSClusteringP2P.v2":0.385956,"CTKFactsNLI":0.7819995,"JSICK":0.75942,"STSB":0.7005966864972416,"FloresBitextMining":0.5587205448903699,"MacedonianTweetSentimentClassification":0.534328,"TweetTopicSingleClassification":0.681512,"SIB200ClusteringS2S":0.3010646852791878,"HALClusteringS2S.v2":0.261606,"BulgarianStoreReviewSentimentClassfication":0.611538,"CzechProductReviewSentimentClassification":0.55376,"PawsXPairClassification":0.5685200714285714,"FilipinoShopeeReviewsClassification":0.369873,"SemRel24STS":0.648817,"ArXivHierarchicalClusteringS2S":0.560748,"AILAStatutes":0.44997,"MultiHateClassification":0.6319363636363636,"MasakhaNEWSClusteringS2S":0.4213543125,"DalajClassification":0.499212,"KorSarcasmClassification":0.570068,"NusaX-senti":0.6762291666666668,"StackExchangeClustering.v2":0.568417,"Tatoeba":0.6784263839285715,"PolEmo2.0-OUT":0.525101,"RomaniBibleClustering":0.420686,"STS22.v2":0.6903339444444444,"PoemSentimentClassification":0.5139104999999999,"IndicGenBenchFloresBitextMining":0.8231688706896552},"scoresByCustomGroup":{},"trainedOnTasks":[],"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":{"STS":0.5760007114871075,"InstructionReranking":-0.03078166666666667,"BitextMining":0.2119393900651278,"MultilabelClassification":0.16280513423518989},"scoresByTask":{"ScalaClassification":0.5006469726562499,"IndonesianIdClickbaitClassification":0.5423236022966462,"SICK-R":0.8058541829408069,"SCIDOCS":0.23765,"PunjabiNewsClassification":0.5936305732484076,"AlloProfClusteringS2S.v2":0.352044,"SlovakMovieReviewSentimentClassification":0.5486328125,"NTREXBitextMining":0.15186073747390397,"NusaParagraphEmotionClassification":0.25637606440503397,"MassiveIntentClassification":0.2664785980392157,"STS13":0.8348493528200611,"CyrillicTurkicLangClassification":0.59619140625,"CSFDSKMovieReviewSentimentClassification":0.205762,"XNLI":0.5891761910966821,"CEDRClassification":0.3597768331562168,"WinoGrande":0.20771,"IN22GenBitextMining":0.04952603260667476,"NusaTranslationBitextMining":0.570558626249666,"TwitterURLCorpus":0.8510833131416968,"PpcPC":0.6690117247782232,"TwitterHjerneRetrieval":0.14888,"MalteseNewsClassification":0.196561,"STS12":0.7263425649613446,"LEMBPasskeyRetrieval":0.245,"BUCC.v2":0.13712575000000002,"SwahiliNewsClassification":0.45986328125,"BiorxivClusteringP2P.v2":0.423103,"STS14":0.7800015498590187,"BornholmBitextMining":0.274405,"FaroeseSTS":0.6180079991680525,"WikiCitiesClustering":0.8273708568596403,"NusaXBitextMining":0.1834112033696919,"STSBenchmark":0.8342190973012376,"StackOverflowQA":0.9032,"MultiEURLEXMultilabelClassification":0.02088173913043478,"NorwegianCourtsBitextMining":0.898392,"PlscClusteringP2P.v2":0.6562962262627878,"ToxicConversationsClassification":0.610546875,"BrazilianToxicTweetsClassification":0.1841796875,"IndicLangClassification":0.47108948648826343,"News21InstructionRetrieval":-0.017918,"GujaratiNewsClassification":0.4410470409711683,"SiswatiNewsClassification":0.55,"STS17":0.3934705809070792,"NollySentiBitextMining":0.224979306952944,"STS15":0.8566278413019339,"TempReasonL1":0.01771,"MedrxivClusteringP2P.v2":0.39861803270863766,"TRECCOVID":0.51326,"NepaliNewsClassification":0.537255859375,"ArmenianParaphrasePC":0.8752852460731781,"KorHateSpeechMLClassification":0.05262641138929799,"BelebeleRetrieval":0.24418478723404255,"AlloprofReranking":0.696301,"NordicLangClassification":0.5014666666666667,"StatcanDialogueDatasetRetrieval":0.12846749999999998,"RuBQReranking":0.30960025848934286,"STSES":0.6688846228500607,"WikiClusteringP2P.v2":0.24381169905097413,"FinParaSTS":0.09546,"OpusparcusPC":0.8696154166666666,"CataloniaTweetClassification":0.47755000000000003,"GermanSTSBenchmark":0.6463464999999999,"SwissJudgementClassification":0.554951787890856,"MLQARetrieval":0.17141091836734693,"SwednClusteringP2P":0.2695104040487777,"DBpediaClassification":0.897559,"HagridRetrieval":0.98707,"TswanaNewsClassification":0.19486652977412733,"ArguAna":0.46521,"MIRACLRetrievalHardNegatives":0.08667222222222222,"IsiZuluNewsClassification":0.19920212765957448,"DiaBlaBitextMining":0.077042,"LegalBenchCorporateLobbying":0.89044,"EstonianValenceClassification":0.287897,"SinhalaNewsClassification":0.402197265625,"SprintDuplicateQuestions":0.9014551416831162,"CovidRetrieval":0.03696,"IndicCrosslingualSTS":-0.02509331714763458,"Core17InstructionRetrieval":-0.007358,"RTE3":0.85469225,"BibleNLPBitextMining":0.010798839371980676,"AfriSentiClassification":0.3726774051585469,"PAC":0.6209962351578338,"VoyageMMarcoReranking":0.21867630995064719,"GreekLegalCodeClassification":0.029761,"KurdishSentimentClassification":0.6127327629592351,"Robust04InstructionRetrieval":-0.067069,"TERRa":0.44517385148313066,"indonli":0.4854164662428644,"SpartQA":0.00216,"SentimentAnalysisHindi":0.37833274929253913,"ItaCaseholdClassification":0.591855,"OdiaNewsClassification":0.5383216606825113,"MasakhaNEWSClassification":0.6143362778686166,"FinancialPhrasebankClassification":0.830256,"ArXivHierarchicalClusteringP2P":0.6147339210179387,"CLSClusteringP2P.v2":0.18287021875056197,"CTKFactsNLI":0.73027,"JSICK":0.713243386066696,"STSB":0.4261429514076228,"FloresBitextMining":0.1058491979619434,"MacedonianTweetSentimentClassification":0.3508340649692713,"TweetTopicSingleClassification":0.6896042528056704,"HALClusteringS2S.v2":0.227542,"BulgarianStoreReviewSentimentClassfication":0.323626,"CzechProductReviewSentimentClassification":0.43584,"FilipinoShopeeReviewsClassification":0.259619140625,"SemRel24STS":0.38002157424956834,"BigPatentClustering.v2":0.330464,"ArXivHierarchicalClusteringS2S":0.5645931195046712,"AILAStatutes":0.21275,"MultiHateClassification":0.548509090909091,"MasakhaNEWSClusteringS2S":0.39744742337702443,"DalajClassification":0.503716,"T2Reranking":0.5830200976808856,"WebLINXCandidatesReranking":0.07920818868245955,"KorSarcasmClassification":0.54091796875,"NusaX-senti":0.552625,"StackExchangeClustering.v2":0.44847209765289975,"Tatoeba":0.04399875796264953,"PolEmo2.0-OUT":0.25,"RomaniBibleClustering":0.379549,"STS22.v2":0.4616324971078736,"PoemSentimentClassification":0.44296250000000004,"IndicGenBenchFloresBitextMining":0.0272646188972073},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":139,"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":{"STS":0.5205964139835859,"Classification":0.46780627750253906,"Reranking":0.42814723148013484,"Retrieval":0.28512700062954655,"InstructionReranking":-0.03524,"MultilabelClassification":0.1790428094164395},"scoresByTask":{"ScalaClassification":0.501355,"IndonesianIdClickbaitClassification":0.573283,"SICK-R":0.755673,"SCIDOCS":0.11703,"PunjabiNewsClassification":0.594904,"AlloProfClusteringS2S.v2":0.204444,"SlovakMovieReviewSentimentClassification":0.546826,"WikipediaRerankingMultilingual":0.6853684375,"NusaParagraphEmotionClassification":0.2588881,"MassiveIntentClassification":0.22427845098039215,"STS13":0.789802,"CyrillicTurkicLangClassification":0.52666015625,"CSFDSKMovieReviewSentimentClassification":0.217773,"CEDRClassification":0.45106269925611053,"WinoGrande":0.1792,"IN22GenBitextMining":0.09881351581027668,"NusaTranslationBitextMining":0.7504174545454546,"TwitterURLCorpus":0.841816,"PpcPC":0.716608,"TwitterHjerneRetrieval":0.03552,"MalteseNewsClassification":0.195037,"STS12":0.724468,"LEMBPasskeyRetrieval":0.2225,"SwahiliNewsClassification":0.466602,"BiorxivClusteringP2P.v2":0.330822,"STS14":0.766976,"BornholmBitextMining":0.375933,"FaroeseSTS":0.568041,"WikiCitiesClustering":0.658583,"NusaXBitextMining":0.2415201818181818,"STSBenchmark":0.818233,"StackOverflowQA":0.53064,"MultiEURLEXMultilabelClassification":0.025584347826086956,"NorwegianCourtsBitextMining":0.903801,"PlscClusteringP2P.v2":0.655534,"ToxicConversationsClassification":0.642773,"BrazilianToxicTweetsClassification":0.179004,"IndicLangClassification":0.14164,"News21InstructionRetrieval":-0.004653,"GujaratiNewsClassification":0.423748,"SiswatiNewsClassification":0.4675,"STS17":0.30664281818181816,"NollySentiBitextMining":0.35971000000000003,"STS15":0.856228,"TempReasonL1":0.0106,"MedrxivClusteringP2P.v2":0.333698,"TRECCOVID":0.30522,"NepaliNewsClassification":0.523438,"ArmenianParaphrasePC":0.847292,"AmazonCounterfactualClassification":0.64059425,"KorHateSpeechMLClassification":0.044526,"BelebeleRetrieval":0.2938164095744681,"AlloprofReranking":0.41603,"NordicLangClassification":0.465167,"StatcanDialogueDatasetRetrieval":0.09840499999999999,"RuBQReranking":0.6865102847141421,"STSES":0.732144,"WikiClusteringP2P.v2":0.2281997142857143,"FinParaSTS":0.0708945,"OpusparcusPC":0.9000046666666667,"CataloniaTweetClassification":0.44886975,"GermanSTSBenchmark":0.6699935,"SwissJudgementClassification":0.548094,"MLQARetrieval":0.19209744897959183,"SwednClusteringP2P":0.1693495,"DBpediaClassification":0.876514,"HagridRetrieval":0.98593,"TswanaNewsClassification":0.228953,"WikipediaRetrievalMultilingual":0.500309375,"ArguAna":0.46568,"MIRACLRetrievalHardNegatives":0.13264777777777778,"IsiZuluNewsClassification":0.214096,"DiaBlaBitextMining":0.424413,"LegalBenchCorporateLobbying":0.86413,"EstonianValenceClassification":0.316381,"SinhalaNewsClassification":0.363184,"SprintDuplicateQuestions":0.943927,"CovidRetrieval":0.00064,"IndicCrosslingualSTS":-0.045953666666666663,"Core17InstructionRetrieval":0.002908,"RTE3":0.85611,"AfriSentiClassification":0.36055366666666666,"PAC":0.694063,"VoyageMMarcoReranking":0.157359,"GreekLegalCodeClassification":0.0215085,"KurdishSentimentClassification":0.607801,"Robust04InstructionRetrieval":-0.103975,"TERRa":0.5781343526166172,"indonli":0.478176,"SpartQA":0.03895,"SentimentAnalysisHindi":0.358438,"ItaCaseholdClassification":0.523529,"OdiaNewsClassification":0.613451,"MasakhaNEWSClassification":0.5906924375,"FinancialPhrasebankClassification":0.808127,"ArXivHierarchicalClusteringP2P":0.530679,"CLSClusteringP2P.v2":0.098188,"CTKFactsNLI":0.7109114999999999,"JSICK":0.407847,"STSB":0.10776850000000002,"MacedonianTweetSentimentClassification":0.477524,"TweetTopicSingleClassification":0.673066,"HALClusteringS2S.v2":0.153501,"BulgarianStoreReviewSentimentClassfication":0.475824,"CzechProductReviewSentimentClassification":0.443945,"PawsXPairClassification":0.5177753571428572,"FilipinoShopeeReviewsClassification":0.2905765,"SemRel24STS":0.27161341666666666,"BigPatentClustering.v2":0.376642,"ArXivHierarchicalClusteringS2S":0.493219,"AILAStatutes":0.15897,"MultiHateClassification":0.5669454545454545,"MasakhaNEWSClusteringS2S":0.344092125,"DalajClassification":0.496959,"T2Reranking":0.524206,"WebLINXCandidatesReranking":0.09940966666666667,"KorSarcasmClassification":0.529639,"NusaX-senti":0.5811666666666667,"StackExchangeClustering.v2":0.45374,"PolEmo2.0-OUT":0.270243,"RomaniBibleClustering":0.411021,"STS22.v2":0.5291715555555556,"PoemSentimentClassification":0.520096,"IndicGenBenchFloresBitextMining":0.10454261206896552},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":140,"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":{"Classification":0.4690311707654521,"Clustering":0.383746697577262,"PairClassification":0.7087700772215569,"Reranking":0.4276180138888888,"Retrieval":0.3932504519886166,"InstructionReranking":-0.02344033333333333,"BitextMining":0.22037401139063936,"MultilabelClassification":0.14854586956521737},"scoresByTask":{"ScalaClassification":0.5022340000000001,"IndonesianIdClickbaitClassification":0.559054,"SICK-R":0.6912484963763645,"SCIDOCS":0.21097,"PunjabiNewsClassification":0.645223,"AlloProfClusteringS2S.v2":0.31638,"SlovakMovieReviewSentimentClassification":0.549561,"WikipediaRerankingMultilingual":0.71493175,"NTREXBitextMining":0.16396138048016703,"NusaParagraphEmotionClassification":0.26656050000000003,"MassiveIntentClassification":0.24298522549019608,"STS13":0.7911530011173249,"CyrillicTurkicLangClassification":0.549609,"CSFDSKMovieReviewSentimentClassification":0.214062,"XNLI":0.5618867857142857,"CEDRClassification":0.304357,"WinoGrande":0.46056,"IN22GenBitextMining":0.02925251185770751,"NusaTranslationBitextMining":0.6541825454545455,"TwitterURLCorpus":0.8471928330149229,"PpcPC":0.666435,"TwitterHjerneRetrieval":0.0805,"MalteseNewsClassification":0.181889,"STS12":0.6696821894433991,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.12051974999999998,"SwahiliNewsClassification":0.489453,"BiorxivClusteringP2P.v2":0.383746,"STS14":0.6850538405089605,"BornholmBitextMining":0.286882,"FaroeseSTS":0.627024,"WikiCitiesClustering":0.8530624598674467,"NusaXBitextMining":0.22988827272727272,"STSBenchmark":0.740981396086974,"StackOverflowQA":0.90591,"MultiEURLEXMultilabelClassification":0.025824347826086957,"NorwegianCourtsBitextMining":0.892544,"PlscClusteringP2P.v2":0.642484,"ToxicConversationsClassification":0.649346,"BrazilianToxicTweetsClassification":0.195264,"IndicLangClassification":0.457864,"News21InstructionRetrieval":-0.001105,"GujaratiNewsClassification":0.472838,"SiswatiNewsClassification":0.43125,"NollySentiBitextMining":0.20965175,"STS15":0.7992003940566668,"TempReasonL1":0.0117,"MedrxivClusteringP2P.v2":0.35286,"TRECCOVID":0.7964600000000001,"NepaliNewsClassification":0.471826,"ArmenianParaphrasePC":0.872212,"AmazonCounterfactualClassification":0.58817125,"KorHateSpeechMLClassification":0.035395,"BelebeleRetrieval":0.3082306117021277,"AlloprofReranking":0.655481,"NordicLangClassification":0.511933,"StatcanDialogueDatasetRetrieval":0.2113525,"RuBQReranking":0.272547,"STSES":0.600015,"WikiClusteringP2P.v2":0.22668085714285713,"FinParaSTS":0.16456199999999999,"OpusparcusPC":0.8468048333333332,"CataloniaTweetClassification":0.470732,"GermanSTSBenchmark":0.5197620000000001,"SwissJudgementClassification":0.5336029999999999,"MLQARetrieval":0.22398051020408163,"SwednClusteringP2P":0.2104285,"DBpediaClassification":0.875146,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.250924,"WikipediaRetrievalMultilingual":0.5289406249999999,"ArguAna":0.56436,"MIRACLRetrievalHardNegatives":0.1616738888888889,"IsiZuluNewsClassification":0.231915,"DiaBlaBitextMining":0.105517,"LegalBenchCorporateLobbying":0.93715,"EstonianValenceClassification":0.303423,"SinhalaNewsClassification":0.385889,"SprintDuplicateQuestions":0.9521196473745839,"CovidRetrieval":0.00854,"IndicCrosslingualSTS":0.11099641666666667,"Core17InstructionRetrieval":0.007128,"RTE3":0.8645477500000001,"BibleNLPBitextMining":0.007177910628019324,"AfriSentiClassification":0.39777025,"PAC":0.647292,"VoyageMMarcoReranking":0.265621,"GreekLegalCodeClassification":0.027905,"KurdishSentimentClassification":0.609512,"Robust04InstructionRetrieval":-0.076344,"TERRa":0.463325,"indonli":0.487497,"SpartQA":0.00358,"SentimentAnalysisHindi":0.363022,"ItaCaseholdClassification":0.665158,"OdiaNewsClassification":0.579584,"MasakhaNEWSClassification":0.603998375,"FinancialPhrasebankClassification":0.670716,"ArXivHierarchicalClusteringP2P":0.574973,"CLSClusteringP2P.v2":0.151226,"CTKFactsNLI":0.7084349999999999,"JSICK":0.614645,"STSB":0.320492,"FloresBitextMining":0.10792489053897422,"MacedonianTweetSentimentClassification":0.333187,"TweetTopicSingleClassification":0.681158,"SIB200ClusteringS2S":0.07249478172588833,"HALClusteringS2S.v2":0.232592,"BulgarianStoreReviewSentimentClassfication":0.323626,"CzechProductReviewSentimentClassification":0.429736,"PawsXPairClassification":0.526015,"FilipinoShopeeReviewsClassification":0.273169,"SemRel24STS":0.3374885,"BigPatentClustering.v2":0.240769,"ArXivHierarchicalClusteringS2S":0.575568,"AILAStatutes":0.29624,"MultiHateClassification":0.557590909090909,"MasakhaNEWSClusteringS2S":0.38141356249999997,"DalajClassification":0.499775,"T2Reranking":0.583483,"WebLINXCandidatesReranking":0.07364433333333334,"KorSarcasmClassification":0.52915,"NusaX-senti":0.5633333333333334,"StackExchangeClustering.v2":0.571668,"Tatoeba":0.039731205357142856,"PolEmo2.0-OUT":0.294939,"RomaniBibleClustering":0.353601,"STS22.v2":0.3531722222222222,"PoemSentimentClassification":0.4641165,"IndicGenBenchFloresBitextMining":0.017628931034482757},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":141,"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":{"Classification":0.4632570243268872,"Clustering":0.36673124282172886,"PairClassification":0.7153269050064406,"Reranking":0.4002851284722222,"Retrieval":0.3983593438861951,"InstructionReranking":-0.03086533333333333,"BitextMining":0.22776672053796293,"MultilabelClassification":0.1483516695652174},"scoresByTask":{"ScalaClassification":0.50126975,"IndonesianIdClickbaitClassification":0.562057,"SICK-R":0.6966114097154584,"SCIDOCS":0.1942,"PunjabiNewsClassification":0.656688,"AlloProfClusteringS2S.v2":0.297989,"SlovakMovieReviewSentimentClassification":0.56084,"WikipediaRerankingMultilingual":0.6788904375,"NTREXBitextMining":0.17649336273486432,"NusaParagraphEmotionClassification":0.2816964,"MassiveIntentClassification":0.2607187843137255,"STS13":0.7961879435615303,"CyrillicTurkicLangClassification":0.40542,"CSFDSKMovieReviewSentimentClassification":0.219482,"XNLI":0.5588697857142857,"CEDRClassification":0.308183,"WinoGrande":0.57422,"IN22GenBitextMining":0.036813968379446636,"NusaTranslationBitextMining":0.604496090909091,"TwitterURLCorpus":0.8515414684113987,"PpcPC":0.691707,"TwitterHjerneRetrieval":0.17928,"MalteseNewsClassification":0.148977,"STS12":0.687854092887031,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.1312865,"SwahiliNewsClassification":0.511377,"BiorxivClusteringP2P.v2":0.383143,"STS14":0.7557574519760183,"BornholmBitextMining":0.253009,"FaroeseSTS":0.655419,"WikiCitiesClustering":0.7958576208710118,"NusaXBitextMining":0.28205390909090905,"STSBenchmark":0.8118789220331483,"StackOverflowQA":0.83047,"MultiEURLEXMultilabelClassification":0.023904347826086955,"NorwegianCourtsBitextMining":0.88962,"PlscClusteringP2P.v2":0.627022,"ToxicConversationsClassification":0.6196360000000001,"BrazilianToxicTweetsClassification":0.224219,"IndicLangClassification":0.402147,"News21InstructionRetrieval":-0.006078,"GujaratiNewsClassification":0.451214,"SiswatiNewsClassification":0.4775,"NollySentiBitextMining":0.27792924999999996,"STS15":0.8464256921939338,"TempReasonL1":0.01693,"MedrxivClusteringP2P.v2":0.344885,"TRECCOVID":0.81388,"NepaliNewsClassification":0.474561,"ArmenianParaphrasePC":0.87451,"AmazonCounterfactualClassification":0.59436225,"KorHateSpeechMLClassification":0.036475,"BelebeleRetrieval":0.2813126329787234,"AlloprofReranking":0.674058,"NordicLangClassification":0.5128,"StatcanDialogueDatasetRetrieval":0.22046500000000002,"RuBQReranking":0.21183,"STSES":0.711975,"WikiClusteringP2P.v2":0.23187899999999997,"FinParaSTS":0.106797,"OpusparcusPC":0.8667810833333333,"CataloniaTweetClassification":0.4565455,"GermanSTSBenchmark":0.6333770000000001,"SwissJudgementClassification":0.5404223333333333,"MLQARetrieval":0.19822326530612244,"SwednClusteringP2P":0.1919655,"DBpediaClassification":0.868555,"HagridRetrieval":0.98901,"TswanaNewsClassification":0.300411,"WikipediaRetrievalMultilingual":0.513020625,"ArguAna":0.56874,"MIRACLRetrievalHardNegatives":0.16855666666666666,"IsiZuluNewsClassification":0.242021,"DiaBlaBitextMining":0.121439,"LegalBenchCorporateLobbying":0.93463,"EstonianValenceClassification":0.289364,"SinhalaNewsClassification":0.401904,"SprintDuplicateQuestions":0.952776439040401,"CovidRetrieval":0.00139,"IndicCrosslingualSTS":0.09979166666666667,"Core17InstructionRetrieval":-0.012771,"RTE3":0.8588692499999999,"BibleNLPBitextMining":0.00935858997584541,"AfriSentiClassification":0.390077,"PAC":0.628468,"VoyageMMarcoReranking":0.217167,"GreekLegalCodeClassification":0.023315500000000003,"KurdishSentimentClassification":0.573226,"Robust04InstructionRetrieval":-0.073747,"TERRa":0.481481,"indonli":0.482111,"SpartQA":0.02786,"SentimentAnalysisHindi":0.378155,"ItaCaseholdClassification":0.642081,"OdiaNewsClassification":0.592588,"MasakhaNEWSClassification":0.6080844375,"FinancialPhrasebankClassification":0.715194,"ArXivHierarchicalClusteringP2P":0.553871,"CLSClusteringP2P.v2":0.116098,"CTKFactsNLI":0.7207129999999999,"JSICK":0.525446,"STSB":0.256734,"FloresBitextMining":0.11327037539843524,"MacedonianTweetSentimentClassification":0.288411,"TweetTopicSingleClassification":0.655877,"SIB200ClusteringS2S":0.07690845177664975,"HALClusteringS2S.v2":0.204456,"BulgarianStoreReviewSentimentClassfication":0.330769,"CzechProductReviewSentimentClassification":0.434424,"PawsXPairClassification":0.5292359285714285,"FilipinoShopeeReviewsClassification":0.261035,"SemRel24STS":0.34998191666666667,"BigPatentClustering.v2":0.250322,"ArXivHierarchicalClusteringS2S":0.527564,"AILAStatutes":0.27328,"MultiHateClassification":0.5404090909090908,"MasakhaNEWSClusteringS2S":0.3598603125,"DalajClassification":0.496847,"T2Reranking":0.562731,"WebLINXCandidatesReranking":0.05703433333333333,"KorSarcasmClassification":0.52417,"NusaX-senti":0.5561875000000001,"StackExchangeClustering.v2":0.52803,"Tatoeba":0.04033479464285714,"PolEmo2.0-OUT":0.230364,"RomaniBibleClustering":0.377849,"STS22.v2":0.4906042222222222,"PoemSentimentClassification":0.4593775,"IndicGenBenchFloresBitextMining":0.024862525862068968},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":142,"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":{"STS":0.5720260319257935,"InstructionReranking":-0.007523000000000001,"BitextMining":0.22907484964811894,"MultilabelClassification":0.14586414342073492},"scoresByTask":{"ScalaClassification":0.50126953125,"IndonesianIdClickbaitClassification":0.5505951335688979,"SICK-R":0.7931807926686743,"SCIDOCS":0.21818,"PunjabiNewsClassification":0.5668789808917197,"AlloProfClusteringS2S.v2":0.319765,"SlovakMovieReviewSentimentClassification":0.54892578125,"NTREXBitextMining":0.15163865240083507,"NusaParagraphEmotionClassification":0.24730842000953243,"MassiveIntentClassification":0.2888421568627451,"STS13":0.8213397006371551,"CyrillicTurkicLangClassification":0.661474609375,"CSFDSKMovieReviewSentimentClassification":0.207666,"XNLI":0.59011165660696,"CEDRClassification":0.3385759829968119,"WinoGrande":0.27163,"IN22GenBitextMining":0.046210450266686645,"NusaTranslationBitextMining":0.593399418457421,"TwitterURLCorpus":0.8477318636442885,"PpcPC":0.7185877247673487,"TwitterHjerneRetrieval":0.06623,"MalteseNewsClassification":0.134306,"STS12":0.7308329046069596,"LEMBPasskeyRetrieval":0.1475,"BUCC.v2":0.15072275000000002,"SwahiliNewsClassification":0.394775390625,"BiorxivClusteringP2P.v2":0.399047,"STS14":0.7673415930715883,"BornholmBitextMining":0.352492,"FaroeseSTS":0.6608584853335723,"WikiCitiesClustering":0.7157611732137286,"NusaXBitextMining":0.21028633984255085,"STSBenchmark":0.8308944078573145,"StackOverflowQA":0.80627,"MultiEURLEXMultilabelClassification":0.01717826086956522,"NorwegianCourtsBitextMining":0.918129,"PlscClusteringP2P.v2":0.6373243652202024,"ToxicConversationsClassification":0.6333984375,"BrazilianToxicTweetsClassification":0.193310546875,"IndicLangClassification":0.48105398119534487,"News21InstructionRetrieval":-0.003513,"GujaratiNewsClassification":0.4163884673748104,"SiswatiNewsClassification":0.5462499999999999,"STS17":0.36281154442712754,"NollySentiBitextMining":0.25471548170852004,"STS15":0.8557753868157322,"TempReasonL1":0.01659,"MedrxivClusteringP2P.v2":0.37820451385464854,"TRECCOVID":0.50816,"NepaliNewsClassification":0.51396484375,"ArmenianParaphrasePC":0.886388718567801,"KorHateSpeechMLClassification":0.0459499263622975,"BelebeleRetrieval":0.23222579787234043,"AlloprofReranking":0.670137,"NordicLangClassification":0.5417000000000001,"StatcanDialogueDatasetRetrieval":0.166985,"RuBQReranking":0.38513917478964665,"STSES":0.7266756261960431,"WikiClusteringP2P.v2":0.22897329616499337,"FinParaSTS":0.1071165,"OpusparcusPC":0.8772190833333333,"CataloniaTweetClassification":0.4574875,"GermanSTSBenchmark":0.6656150000000001,"SwissJudgementClassification":0.5487017124651534,"MLQARetrieval":0.1621819387755102,"SwednClusteringP2P":0.10134585451356196,"DBpediaClassification":0.871533,"HagridRetrieval":0.98397,"TswanaNewsClassification":0.23634496919917863,"ArguAna":0.47128,"MIRACLRetrievalHardNegatives":0.1132261111111111,"IsiZuluNewsClassification":0.2466755319148936,"DiaBlaBitextMining":0.09696452196180766,"LegalBenchCorporateLobbying":0.88691,"EstonianValenceClassification":0.281296,"SinhalaNewsClassification":0.385546875,"SprintDuplicateQuestions":0.9257864755679249,"CovidRetrieval":0.10788,"IndicCrosslingualSTS":-0.053371164426901756,"Core17InstructionRetrieval":0.016885,"RTE3":0.86114375,"BibleNLPBitextMining":0.013890028381642511,"AfriSentiClassification":0.37288349544654714,"PAC":0.5953373877787431,"VoyageMMarcoReranking":0.2600752277852728,"GreekLegalCodeClassification":0.0416015,"KurdishSentimentClassification":0.585556114745848,"Robust04InstructionRetrieval":-0.035941,"TERRa":0.4639724532238829,"indonli":0.48428619203097667,"SpartQA":0.02673,"SentimentAnalysisHindi":0.3935006316131385,"ItaCaseholdClassification":0.671946,"OdiaNewsClassification":0.5301378917227442,"MasakhaNEWSClassification":0.5457891446613515,"FinancialPhrasebankClassification":0.774956,"ArXivHierarchicalClusteringP2P":0.5744453030136721,"CLSClusteringP2P.v2":0.15389413065200236,"CTKFactsNLI":0.713893,"JSICK":0.7176946032220102,"STSB":0.41901769495891694,"FloresBitextMining":0.10709222464503043,"MacedonianTweetSentimentClassification":0.3537313432835821,"TweetTopicSingleClassification":0.6764914353219138,"HALClusteringS2S.v2":0.207295,"BulgarianStoreReviewSentimentClassfication":0.324725,"CzechProductReviewSentimentClassification":0.443555,"FilipinoShopeeReviewsClassification":0.255322265625,"SemRel24STS":0.3793372304999087,"BigPatentClustering.v2":0.275572,"ArXivHierarchicalClusteringS2S":0.5506172809210715,"AILAStatutes":0.20714,"MultiHateClassification":0.5401181818181818,"MasakhaNEWSClusteringS2S":0.38372847034563606,"DalajClassification":0.501802,"T2Reranking":0.6032290211350791,"WebLINXCandidatesReranking":0.048801455204569355,"KorSarcasmClassification":0.543701171875,"NusaX-senti":0.5488958333333334,"StackExchangeClustering.v2":0.4473898244327101,"Tatoeba":0.050967994272273096,"PolEmo2.0-OUT":0.229757,"RomaniBibleClustering":0.363314,"STS22.v2":0.3672962049445949,"PoemSentimentClassification":0.4631275,"IndicGenBenchFloresBitextMining":0.03146418348877897},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":143,"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":0.35559278799525657,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.515073525094697,"Classification":0.4698579507073125,"Clustering":0.375255465890071,"PairClassification":0.7046636807359307,"Reranking":0.42373255555555556,"Retrieval":0.386930740564843,"InstructionReranking":-0.034164,"BitextMining":0.20114752993063836,"MultilabelClassification":0.15783764347826085},"scoresByTask":{"ScalaClassification":0.50024425,"IndonesianIdClickbaitClassification":0.554352,"SICK-R":0.700345,"SCIDOCS":0.2149,"PunjabiNewsClassification":0.641401,"AlloProfClusteringS2S.v2":0.321849,"SlovakMovieReviewSentimentClassification":0.55415,"WikipediaRerankingMultilingual":0.7055245,"NTREXBitextMining":0.13954276983298539,"NusaParagraphEmotionClassification":0.2776151,"MassiveIntentClassification":0.2497962254901961,"STS13":0.736707,"CyrillicTurkicLangClassification":0.488428,"CSFDSKMovieReviewSentimentClassification":0.212891,"XNLI":0.5579845,"CEDRClassification":0.30882,"WinoGrande":0.30717,"IN22GenBitextMining":0.02836938537549407,"NusaTranslationBitextMining":0.6156090909090909,"TwitterURLCorpus":0.821362,"PpcPC":0.651137,"TwitterHjerneRetrieval":0.04716,"MalteseNewsClassification":0.165781,"STS12":0.649088,"LEMBPasskeyRetrieval":0.355,"BUCC.v2":0.13841175,"SwahiliNewsClassification":0.460205,"BiorxivClusteringP2P.v2":0.370338,"STS14":0.652493,"BornholmBitextMining":0.223611,"FaroeseSTS":0.575452,"WikiCitiesClustering":0.7892,"NusaXBitextMining":0.2051878181818182,"STSBenchmark":0.694352,"StackOverflowQA":0.89617,"MultiEURLEXMultilabelClassification":0.026545217391304346,"NorwegianCourtsBitextMining":0.854386,"PlscClusteringP2P.v2":0.636927,"ToxicConversationsClassification":0.632959,"BrazilianToxicTweetsClassification":0.241748,"IndicLangClassification":0.47918,"News21InstructionRetrieval":-0.000033,"GujaratiNewsClassification":0.486571,"SiswatiNewsClassification":0.56375,"STS17":0.43064081818181815,"NollySentiBitextMining":0.19848525000000003,"STS15":0.767534,"TempReasonL1":0.01235,"MedrxivClusteringP2P.v2":0.3541598539873297,"TRECCOVID":0.84634,"NepaliNewsClassification":0.487061,"ArmenianParaphrasePC":0.875481,"AmazonCounterfactualClassification":0.608146,"KorHateSpeechMLClassification":0.046294,"BelebeleRetrieval":0.2849975265957447,"AlloprofReranking":0.62772,"NordicLangClassification":0.481133,"StatcanDialogueDatasetRetrieval":0.231155,"RuBQReranking":0.28375,"STSES":0.655138,"WikiClusteringP2P.v2":0.2297485,"FinParaSTS":0.158339,"OpusparcusPC":0.8331714166666666,"CataloniaTweetClassification":0.4780975,"GermanSTSBenchmark":0.444774,"SwissJudgementClassification":0.531,"MLQARetrieval":0.2159964285714286,"SwednClusteringP2P":0.180155,"DBpediaClassification":0.881152,"HagridRetrieval":0.9893,"TswanaNewsClassification":0.263039,"WikipediaRetrievalMultilingual":0.495569375,"ArguAna":0.5953,"MIRACLRetrievalHardNegatives":0.16080499999999998,"IsiZuluNewsClassification":0.240027,"DiaBlaBitextMining":0.065594,"LegalBenchCorporateLobbying":0.94286,"EstonianValenceClassification":0.287653,"SinhalaNewsClassification":0.3625,"SprintDuplicateQuestions":0.945158,"CovidRetrieval":0.08654,"IndicCrosslingualSTS":0.10540041666666666,"Core17InstructionRetrieval":-0.019328,"RTE3":0.8618675,"BibleNLPBitextMining":0.0075659227053140096,"AfriSentiClassification":0.40549825,"PAC":0.628816,"VoyageMMarcoReranking":0.262914,"GreekLegalCodeClassification":0.031592,"KurdishSentimentClassification":0.572421,"Robust04InstructionRetrieval":-0.083131,"TERRa":0.480953,"indonli":0.489265,"SpartQA":0.00213,"SentimentAnalysisHindi":0.375616,"ItaCaseholdClassification":0.670136,"OdiaNewsClassification":0.575439,"MasakhaNEWSClassification":0.6023708125,"FinancialPhrasebankClassification":0.720186,"ArXivHierarchicalClusteringP2P":0.563888,"CLSClusteringP2P.v2":0.136886,"CTKFactsNLI":0.7096055,"JSICK":0.604288,"STSB":0.306708,"FloresBitextMining":0.09253518842364532,"MacedonianTweetSentimentClassification":0.324583,"TweetTopicSingleClassification":0.680921,"SIB200ClusteringS2S":0.0637703502538071,"HALClusteringS2S.v2":0.204034,"BulgarianStoreReviewSentimentClassfication":0.274725,"CzechProductReviewSentimentClassification":0.437598,"PawsXPairClassification":0.5253155714285714,"FilipinoShopeeReviewsClassification":0.2827145,"SemRel24STS":0.34842616666666665,"BigPatentClustering.v2":0.28998,"ArXivHierarchicalClusteringS2S":0.532505,"AILAStatutes":0.28101,"MultiHateClassification":0.545290909090909,"MasakhaNEWSClusteringS2S":0.40051975,"DalajClassification":0.504279,"T2Reranking":0.568582,"WebLINXCandidatesReranking":0.09390483333333333,"KorSarcasmClassification":0.554395,"NusaX-senti":0.5653958333333333,"StackExchangeClustering.v2":0.576073,"Tatoeba":0.02808969642857143,"PolEmo2.0-OUT":0.275101,"RomaniBibleClustering":0.354054,"STS22.v2":0.41149100000000005,"PoemSentimentClassification":0.4554625,"IndicGenBenchFloresBitextMining":0.017530017241379307},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":144,"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":{"STS":0.5700829914772727,"Classification":0.47970943110050573,"Clustering":0.35889933769092186,"PairClassification":0.7173007718763692,"Reranking":0.37483196180555556,"Retrieval":0.3054350761754663,"InstructionReranking":-0.03834866666666667,"BitextMining":0.20464406104625338,"MultilabelClassification":0.1469103304347826},"scoresByTask":{"ScalaClassification":0.5015625,"IndonesianIdClickbaitClassification":0.547556,"SICK-R":0.761108,"SCIDOCS":0.16243,"PunjabiNewsClassification":0.596815,"AlloProfClusteringS2S.v2":0.245861,"SlovakMovieReviewSentimentClassification":0.532324,"WikipediaRerankingMultilingual":0.6470839375,"NTREXBitextMining":0.11667915762004176,"NusaParagraphEmotionClassification":0.2901275,"MassiveIntentClassification":0.3391107058823529,"STS13":0.821624,"CyrillicTurkicLangClassification":0.616846,"CSFDSKMovieReviewSentimentClassification":0.215381,"XNLI":0.5732494642857143,"CEDRClassification":0.339798,"WinoGrande":0.32778,"IN22GenBitextMining":0.034501448616600795,"NusaTranslationBitextMining":0.5334243636363637,"TwitterURLCorpus":0.8468882859374923,"PpcPC":0.715594,"TwitterHjerneRetrieval":0.15347,"MalteseNewsClassification":0.181019,"STS12":0.726714,"LEMBPasskeyRetrieval":0.2925,"BUCC.v2":0.08639675,"SwahiliNewsClassification":0.458887,"BiorxivClusteringP2P.v2":0.388749,"STS14":0.781707,"BornholmBitextMining":0.353883,"FaroeseSTS":0.669047,"WikiCitiesClustering":0.694204,"NusaXBitextMining":0.19246963636363637,"STSBenchmark":0.839242,"StackOverflowQA":0.60168,"MultiEURLEXMultilabelClassification":0.023515652173913045,"NorwegianCourtsBitextMining":0.868421,"PlscClusteringP2P.v2":0.635968,"ToxicConversationsClassification":0.6604019999999999,"BrazilianToxicTweetsClassification":0.165869,"IndicLangClassification":0.448978,"News21InstructionRetrieval":0.007281,"GujaratiNewsClassification":0.421851,"SiswatiNewsClassification":0.73875,"STS17":0.34496736363636366,"NollySentiBitextMining":0.2655775,"STS15":0.86281,"TempReasonL1":0.00917,"MedrxivClusteringP2P.v2":0.36007,"TRECCOVID":0.49032,"NepaliNewsClassification":0.434229,"ArmenianParaphrasePC":0.869898,"AmazonCounterfactualClassification":0.67539825,"KorHateSpeechMLClassification":0.02435,"BelebeleRetrieval":0.1798716489361702,"AlloprofReranking":0.435884,"NordicLangClassification":0.548533,"StatcanDialogueDatasetRetrieval":0.05352,"RuBQReranking":0.218998,"STSES":0.69182,"WikiClusteringP2P.v2":0.2221782142857143,"FinParaSTS":0.07523350000000001,"OpusparcusPC":0.8754769166666666,"CataloniaTweetClassification":0.43349475,"GermanSTSBenchmark":0.6595679999999999,"SwissJudgementClassification":0.5570309999999999,"MLQARetrieval":0.116965,"SwednClusteringP2P":0.1609645,"DBpediaClassification":0.900195,"HagridRetrieval":0.98381,"TswanaNewsClassification":0.264066,"WikipediaRetrievalMultilingual":0.3856275,"ArguAna":0.47368,"MIRACLRetrievalHardNegatives":0.10029722222222222,"IsiZuluNewsClassification":0.250931,"DiaBlaBitextMining":0.069961,"LegalBenchCorporateLobbying":0.87051,"EstonianValenceClassification":0.298778,"SinhalaNewsClassification":0.374219,"SprintDuplicateQuestions":0.9553621808930456,"CovidRetrieval":0.00898,"IndicCrosslingualSTS":0.05090266666666667,"Core17InstructionRetrieval":-0.017604,"RTE3":0.8637319999999999,"BibleNLPBitextMining":0.009791178743961354,"AfriSentiClassification":0.374544,"PAC":0.577816,"VoyageMMarcoReranking":0.26348,"GreekLegalCodeClassification":0.03840300000000001,"KurdishSentimentClassification":0.570206,"Robust04InstructionRetrieval":-0.104723,"TERRa":0.448793,"indonli":0.484249,"SpartQA":0.06817,"SentimentAnalysisHindi":0.353695,"ItaCaseholdClassification":0.682805,"OdiaNewsClassification":0.60273,"MasakhaNEWSClassification":0.5780774375,"FinancialPhrasebankClassification":0.715945,"ArXivHierarchicalClusteringP2P":0.55395,"CLSClusteringP2P.v2":0.146943,"CTKFactsNLI":0.724629,"JSICK":0.634906,"STSB":0.4495615,"FloresBitextMining":0.07012730911330049,"MacedonianTweetSentimentClassification":0.362687,"TweetTopicSingleClassification":0.690018,"SIB200ClusteringS2S":0.051009751269035536,"HALClusteringS2S.v2":0.158536,"BulgarianStoreReviewSentimentClassfication":0.317582,"CzechProductReviewSentimentClassification":0.439355,"PawsXPairClassification":0.5324366428571429,"FilipinoShopeeReviewsClassification":0.2803465,"SemRel24STS":0.3783366666666667,"BigPatentClustering.v2":0.339733,"ArXivHierarchicalClusteringS2S":0.529036,"AILAStatutes":0.21905,"MultiHateClassification":0.5461727272727273,"MasakhaNEWSClusteringS2S":0.3485259375,"DalajClassification":0.50259,"T2Reranking":0.56429,"WebLINXCandidatesReranking":0.11925583333333334,"KorSarcasmClassification":0.545947,"NusaX-senti":0.5403541666666667,"StackExchangeClustering.v2":0.547458,"Tatoeba":0.04227753571428571,"PolEmo2.0-OUT":0.296154,"RomaniBibleClustering":0.359203,"STS22.v2":0.37378016666666664,"PoemSentimentClassification":0.506612,"IndicGenBenchFloresBitextMining":0.016862913793103448},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":145,"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":{"Classification":0.47826896896232324,"Clustering":0.3506284647332759,"PairClassification":0.7193541881433845,"Reranking":0.3906125833333334,"Retrieval":0.2988297125294168,"InstructionReranking":-0.032224333333333334,"BitextMining":0.20447116453987538,"MultilabelClassification":0.1436789043478261},"scoresByTask":{"ScalaClassification":0.50147675,"IndonesianIdClickbaitClassification":0.55,"SICK-R":0.7604335461102429,"SCIDOCS":0.15312,"PunjabiNewsClassification":0.58535,"AlloProfClusteringS2S.v2":0.22925,"SlovakMovieReviewSentimentClassification":0.527832,"WikipediaRerankingMultilingual":0.676343,"NTREXBitextMining":0.10674581576200418,"NusaParagraphEmotionClassification":0.3042302,"MassiveIntentClassification":0.343609137254902,"STS13":0.8096085686108583,"CyrillicTurkicLangClassification":0.613086,"CSFDSKMovieReviewSentimentClassification":0.213477,"XNLI":0.5761016785714286,"CEDRClassification":0.339851,"WinoGrande":0.33889,"IN22GenBitextMining":0.04075118577075099,"NusaTranslationBitextMining":0.5357751818181818,"TwitterURLCorpus":0.8474905878045149,"PpcPC":0.717387,"TwitterHjerneRetrieval":0.11573,"MalteseNewsClassification":0.173008,"STS12":0.6949541146727839,"LEMBPasskeyRetrieval":0.27,"BUCC.v2":0.07516375,"SwahiliNewsClassification":0.489111,"BiorxivClusteringP2P.v2":0.372338,"STS14":0.7708348207580887,"BornholmBitextMining":0.355206,"FaroeseSTS":0.668874,"WikiCitiesClustering":0.664505,"NusaXBitextMining":0.18519845454545455,"STSBenchmark":0.8333681512924129,"StackOverflowQA":0.53802,"MultiEURLEXMultilabelClassification":0.022536521739130434,"NorwegianCourtsBitextMining":0.89693,"PlscClusteringP2P.v2":0.621813,"ToxicConversationsClassification":0.662939453125,"BrazilianToxicTweetsClassification":0.15752,"IndicLangClassification":0.445963,"News21InstructionRetrieval":0.000426,"GujaratiNewsClassification":0.402656,"SiswatiNewsClassification":0.7525,"NollySentiBitextMining":0.269146,"STS15":0.8541548418250478,"TempReasonL1":0.00909,"MedrxivClusteringP2P.v2":0.347521,"TRECCOVID":0.47773,"NepaliNewsClassification":0.441943,"ArmenianParaphrasePC":0.873335,"AmazonCounterfactualClassification":0.67891425,"KorHateSpeechMLClassification":0.025479,"BelebeleRetrieval":0.17485648936170212,"AlloprofReranking":0.41432,"NordicLangClassification":0.5646,"StatcanDialogueDatasetRetrieval":0.056795,"RuBQReranking":0.249757,"STSES":0.691993,"WikiClusteringP2P.v2":0.21635871428571427,"FinParaSTS":0.0697205,"OpusparcusPC":0.8761156666666667,"CataloniaTweetClassification":0.4355955,"GermanSTSBenchmark":0.664106,"SwissJudgementClassification":0.5676886666666667,"MLQARetrieval":0.1168015306122449,"SwednClusteringP2P":0.1504845,"DBpediaClassification":0.898584,"HagridRetrieval":0.98429,"TswanaNewsClassification":0.275565,"WikipediaRetrievalMultilingual":0.40743125,"ArguAna":0.44798000000000004,"MIRACLRetrievalHardNegatives":0.10469055555555556,"IsiZuluNewsClassification":0.251995,"DiaBlaBitextMining":0.064927,"LegalBenchCorporateLobbying":0.84881,"EstonianValenceClassification":0.295232,"SinhalaNewsClassification":0.359229,"SprintDuplicateQuestions":0.953535743677476,"CovidRetrieval":0.02487,"IndicCrosslingualSTS":0.037657416666666665,"Core17InstructionRetrieval":-0.016776,"RTE3":0.86225975,"BibleNLPBitextMining":0.00885387198067633,"AfriSentiClassification":0.37925216666666667,"PAC":0.564176,"VoyageMMarcoReranking":0.287173,"GreekLegalCodeClassification":0.038086,"KurdishSentimentClassification":0.572672,"Robust04InstructionRetrieval":-0.080323,"TERRa":0.461677,"indonli":0.482755,"SpartQA":0.09554,"SentimentAnalysisHindi":0.357406,"ItaCaseholdClassification":0.623982,"OdiaNewsClassification":0.597633,"MasakhaNEWSClassification":0.567992375,"FinancialPhrasebankClassification":0.711396,"ArXivHierarchicalClusteringP2P":0.548762,"CLSClusteringP2P.v2":0.142804,"CTKFactsNLI":0.732909,"JSICK":0.648887,"STSB":0.432704,"FloresBitextMining":0.06121922150584371,"MacedonianTweetSentimentClassification":0.358033,"TweetTopicSingleClassification":0.665387,"SIB200ClusteringS2S":0.046045096446700504,"HALClusteringS2S.v2":0.136678,"BulgarianStoreReviewSentimentClassfication":0.315385,"CzechProductReviewSentimentClassification":0.441748,"PawsXPairClassification":0.5293296428571429,"FilipinoShopeeReviewsClassification":0.281836,"SemRel24STS":0.377248,"BigPatentClustering.v2":0.371452,"ArXivHierarchicalClusteringS2S":0.519981,"AILAStatutes":0.21429,"MultiHateClassification":0.5475,"MasakhaNEWSClusteringS2S":0.361538125,"DalajClassification":0.501689,"T2Reranking":0.587871,"WebLINXCandidatesReranking":0.1282115,"KorSarcasmClassification":0.53457,"NusaX-senti":0.5462291666666667,"StackExchangeClustering.v2":0.528627,"Tatoeba":0.041330821428571425,"PolEmo2.0-OUT":0.287652,"RomaniBibleClustering":0.351898,"STS22.v2":0.3605543888888889,"PoemSentimentClassification":0.511364,"IndicGenBenchFloresBitextMining":0.016877836206896552},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":146,"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":{"STS":0.4676532021780303,"Classification":0.45541778120018256,"Reranking":0.4086852405155444,"Retrieval":0.2479387746993991,"InstructionReranking":-0.03687833333333334,"MultilabelClassification":0.188063362472855},"scoresByTask":{"ScalaClassification":0.5041745,"IndonesianIdClickbaitClassification":0.566357,"SICK-R":0.691298,"SCIDOCS":0.0496,"PunjabiNewsClassification":0.598089,"AlloProfClusteringS2S.v2":0.167657,"SlovakMovieReviewSentimentClassification":0.554834,"WikipediaRerankingMultilingual":0.659675125,"NusaParagraphEmotionClassification":0.2327149,"MassiveIntentClassification":0.21003650174042923,"STS13":0.676614,"CyrillicTurkicLangClassification":0.338525390625,"CSFDSKMovieReviewSentimentClassification":0.229053,"CEDRClassification":0.4074920297555792,"WinoGrande":0.53289,"IN22GenBitextMining":0.10106442687747035,"NusaTranslationBitextMining":0.7999595454545454,"TwitterURLCorpus":0.840376,"PpcPC":0.729482,"TwitterHjerneRetrieval":0.09291,"MalteseNewsClassification":0.263126,"STS12":0.651557,"LEMBPasskeyRetrieval":0.2075,"SwahiliNewsClassification":0.5104,"BiorxivClusteringP2P.v2":0.316111,"STS14":0.633248,"BornholmBitextMining":0.373606,"FaroeseSTS":0.362058,"WikiCitiesClustering":0.606953,"NusaXBitextMining":0.3399600909090909,"STSBenchmark":0.719106,"StackOverflowQA":0.38161,"MultiEURLEXMultilabelClassification":0.023854782608695654,"NorwegianCourtsBitextMining":0.883772,"PlscClusteringP2P.v2":0.693065,"ToxicConversationsClassification":0.602588,"BrazilianToxicTweetsClassification":0.201367,"IndicLangClassification":0.132418,"News21InstructionRetrieval":-0.0039,"GujaratiNewsClassification":0.418209,"SiswatiNewsClassification":0.57625,"STS17":0.39858781818181815,"NollySentiBitextMining":0.48914375,"STS15":0.762084,"TempReasonL1":0.01646,"MedrxivClusteringP2P.v2":0.326852,"TRECCOVID":0.14896,"NepaliNewsClassification":0.548193,"ArmenianParaphrasePC":0.844185,"AmazonCounterfactualClassification":0.651494875,"KorHateSpeechMLClassification":0.044477,"BelebeleRetrieval":0.29014367021276594,"AlloprofReranking":0.422944,"NordicLangClassification":0.3884,"StatcanDialogueDatasetRetrieval":0.0278575,"RuBQReranking":0.548269484759933,"STSES":0.631486,"WikiClusteringP2P.v2":0.23512457142857143,"FinParaSTS":0.1325085,"OpusparcusPC":0.8984296666666666,"CataloniaTweetClassification":0.4489545,"GermanSTSBenchmark":0.5709005,"SwissJudgementClassification":0.5445030000000001,"MLQARetrieval":0.17405316326530615,"SwednClusteringP2P":0.217571,"DBpediaClassification":0.837402,"HagridRetrieval":0.93759,"TswanaNewsClassification":0.210267,"WikipediaRetrievalMultilingual":0.3924725,"ArguAna":0.3191,"MIRACLRetrievalHardNegatives":0.05124111111111111,"IsiZuluNewsClassification":0.217021,"DiaBlaBitextMining":0.681559,"LegalBenchCorporateLobbying":0.66237,"EstonianValenceClassification":0.329218,"SinhalaNewsClassification":0.335107,"SprintDuplicateQuestions":0.885328,"CovidRetrieval":0.00352,"IndicCrosslingualSTS":-0.01905291666666667,"Core17InstructionRetrieval":-0.015994,"RTE3":0.86048675,"AfriSentiClassification":0.35546716666666667,"PAC":0.686128,"VoyageMMarcoReranking":0.151737,"GreekLegalCodeClassification":0.024780499999999997,"KurdishSentimentClassification":0.608203,"Robust04InstructionRetrieval":-0.090741,"TERRa":0.5560737658298138,"indonli":0.477294,"SpartQA":0.0152,"SentimentAnalysisHindi":0.352607,"ItaCaseholdClassification":0.40905,"OdiaNewsClassification":0.608505,"MasakhaNEWSClassification":0.580954,"FinancialPhrasebankClassification":0.716122,"ArXivHierarchicalClusteringP2P":0.515464,"CLSClusteringP2P.v2":0.114889,"CTKFactsNLI":0.689113,"JSICK":0.3762,"STSB":0.1008745,"MacedonianTweetSentimentClassification":0.503687,"TweetTopicSingleClassification":0.515535,"HALClusteringS2S.v2":0.126214,"BulgarianStoreReviewSentimentClassfication":0.53022,"CzechProductReviewSentimentClassification":0.437012,"PawsXPairClassification":0.4997624285714286,"FilipinoShopeeReviewsClassification":0.280005,"SemRel24STS":0.25242933333333334,"BigPatentClustering.v2":0.353071,"ArXivHierarchicalClusteringS2S":0.508431,"AILAStatutes":0.15942,"MultiHateClassification":0.584309090909091,"MasakhaNEWSClusteringS2S":0.3443684375,"DalajClassification":0.500788,"T2Reranking":0.571021,"WebLINXCandidatesReranking":0.09846483333333333,"KorSarcasmClassification":0.546826,"NusaX-senti":0.5536666666666666,"StackExchangeClustering.v2":0.421822,"PolEmo2.0-OUT":0.336437,"RomaniBibleClustering":0.439483,"STS22.v2":0.5425525,"PoemSentimentClassification":0.4684525,"IndicGenBenchFloresBitextMining":0.11540016379310344},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":147,"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":{"Classification":0.46283935071145804,"Clustering":0.38274091297758794,"PairClassification":0.7025864859307359,"Reranking":0.42527197222222224,"Retrieval":0.3642605380512134,"InstructionReranking":-0.027522333333333333,"BitextMining":0.2525653817887785,"MultilabelClassification":0.15387925217391304},"scoresByTask":{"ScalaClassification":0.50096425,"IndonesianIdClickbaitClassification":0.561542,"SICK-R":0.687981,"SCIDOCS":0.22542,"PunjabiNewsClassification":0.56242,"AlloProfClusteringS2S.v2":0.305365,"SlovakMovieReviewSentimentClassification":0.549561,"WikipediaRerankingMultilingual":0.6673805,"NTREXBitextMining":0.22736762317327766,"NusaParagraphEmotionClassification":0.2663374,"MassiveIntentClassification":0.2665588529411765,"STS13":0.793253,"CyrillicTurkicLangClassification":0.571729,"CSFDSKMovieReviewSentimentClassification":0.204736,"XNLI":0.5601988214285714,"CEDRClassification":0.320829,"WinoGrande":0.3921,"IN22GenBitextMining":0.05930191304347826,"NusaTranslationBitextMining":0.6181254545454545,"TwitterURLCorpus":0.825792,"PpcPC":0.652164,"TwitterHjerneRetrieval":0.05737,"MalteseNewsClassification":0.194906,"STS12":0.647738,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.1772235,"SwahiliNewsClassification":0.504053,"BiorxivClusteringP2P.v2":0.4248,"STS14":0.701701,"BornholmBitextMining":0.347321,"FaroeseSTS":0.589036,"WikiCitiesClustering":0.70549,"NusaXBitextMining":0.2411591818181818,"STSBenchmark":0.780444,"StackOverflowQA":0.83927,"MultiEURLEXMultilabelClassification":0.025978260869565218,"NorwegianCourtsBitextMining":0.906433,"PlscClusteringP2P.v2":0.663508,"ToxicConversationsClassification":0.629395,"BrazilianToxicTweetsClassification":0.182764,"IndicLangClassification":0.602364,"News21InstructionRetrieval":-0.002204,"GujaratiNewsClassification":0.460926,"SiswatiNewsClassification":0.50875,"NollySentiBitextMining":0.31255925,"STS15":0.820343,"TempReasonL1":0.01003,"MedrxivClusteringP2P.v2":0.362956,"TRECCOVID":0.63098,"NepaliNewsClassification":0.426367,"ArmenianParaphrasePC":0.852758,"AmazonCounterfactualClassification":0.594342625,"KorHateSpeechMLClassification":0.044919,"BelebeleRetrieval":0.2830219680851064,"AlloprofReranking":0.627432,"NordicLangClassification":0.513633,"StatcanDialogueDatasetRetrieval":0.21044500000000002,"RuBQReranking":0.282424,"STSES":0.6635,"WikiClusteringP2P.v2":0.24360264285714286,"FinParaSTS":0.10190250000000001,"OpusparcusPC":0.8628616666666667,"CataloniaTweetClassification":0.44640025,"GermanSTSBenchmark":0.6116334999999999,"SwissJudgementClassification":0.5442496666666666,"MLQARetrieval":0.2048645918367347,"SwednClusteringP2P":0.1857,"DBpediaClassification":0.868359,"HagridRetrieval":0.98832,"TswanaNewsClassification":0.229569,"WikipediaRetrievalMultilingual":0.453113125,"ArguAna":0.56356,"MIRACLRetrievalHardNegatives":0.128445,"IsiZuluNewsClassification":0.227926,"DiaBlaBitextMining":0.096837,"LegalBenchCorporateLobbying":0.9175,"EstonianValenceClassification":0.283374,"SinhalaNewsClassification":0.398047,"SprintDuplicateQuestions":0.9417,"CovidRetrieval":0.02421,"IndicCrosslingualSTS":-0.021329,"Core17InstructionRetrieval":-0.008245,"RTE3":0.852432,"BibleNLPBitextMining":0.028966552536231885,"AfriSentiClassification":0.36357825,"PAC":0.59305,"VoyageMMarcoReranking":0.282407,"GreekLegalCodeClassification":0.0194335,"KurdishSentimentClassification":0.589482,"Robust04InstructionRetrieval":-0.072118,"TERRa":0.462397,"indonli":0.479779,"SpartQA":0.04634,"SentimentAnalysisHindi":0.376489,"ItaCaseholdClassification":0.585973,"OdiaNewsClassification":0.584677,"MasakhaNEWSClassification":0.6109189375,"FinancialPhrasebankClassification":0.665636,"ArXivHierarchicalClusteringP2P":0.570169,"CLSClusteringP2P.v2":0.178922,"CTKFactsNLI":0.708529,"JSICK":0.743727,"STSB":0.46819049999999995,"FloresBitextMining":0.16936396689365402,"MacedonianTweetSentimentClassification":0.371993,"TweetTopicSingleClassification":0.681453,"SIB200ClusteringS2S":0.08212515228426395,"HALClusteringS2S.v2":0.215955,"BulgarianStoreReviewSentimentClassfication":0.304945,"CzechProductReviewSentimentClassification":0.431396,"PawsXPairClassification":0.5298398571428572,"FilipinoShopeeReviewsClassification":0.25852050000000004,"SemRel24STS":0.3514964166666667,"BigPatentClustering.v2":0.2884,"ArXivHierarchicalClusteringS2S":0.568468,"AILAStatutes":0.1967,"MultiHateClassification":0.5363181818181818,"MasakhaNEWSClusteringS2S":0.3653918125,"DalajClassification":0.49955,"T2Reranking":0.599683,"WebLINXCandidatesReranking":0.09230533333333334,"KorSarcasmClassification":0.533594,"NusaX-senti":0.5214791666666666,"StackExchangeClustering.v2":0.575859,"Tatoeba":0.06139511607142857,"PolEmo2.0-OUT":0.219433,"RomaniBibleClustering":0.387143,"STS22.v2":0.4950058333333333,"PoemSentimentClassification":0.4325685,"IndicGenBenchFloresBitextMining":0.03729640517241379},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2","WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":148,"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":0.2957665957625697,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.367847289614899,"Classification":0.545708203747979,"Clustering":0.39150057615063005,"PairClassification":0.678000014069264,"Reranking":0.33658943750000003,"Retrieval":0.13045965883536237,"InstructionReranking":0.007377999999999999,"BitextMining":0.04226682542325399,"MultilabelClassification":0.16214935652173912},"scoresByTask":{"ScalaClassification":0.52821075,"IndonesianIdClickbaitClassification":0.580094,"SICK-R":0.413266,"SCIDOCS":0.01897,"PunjabiNewsClassification":0.727389,"AlloProfClusteringS2S.v2":0.237829,"SlovakMovieReviewSentimentClassification":0.585449,"WikipediaRerankingMultilingual":0.563330625,"NTREXBitextMining":0.008458733298538622,"NusaParagraphEmotionClassification":0.3448742,"MassiveIntentClassification":0.43218946078431375,"STS13":0.411003,"CyrillicTurkicLangClassification":0.897266,"CSFDSKMovieReviewSentimentClassification":0.256494,"XNLI":0.5626105357142858,"CEDRClassification":0.319341,"WinoGrande":0.0,"IN22GenBitextMining":0.010110084980237154,"NusaTranslationBitextMining":0.099618,"TwitterURLCorpus":0.693589,"PpcPC":0.739231,"TwitterHjerneRetrieval":0.03127,"MalteseNewsClassification":0.249543,"STS12":0.42236,"LEMBPasskeyRetrieval":0.025,"BUCC.v2":0.0012000000000000001,"SwahiliNewsClassification":0.614404,"BiorxivClusteringP2P.v2":0.377624,"STS14":0.360263,"BornholmBitextMining":0.012804,"FaroeseSTS":0.31969,"WikiCitiesClustering":0.775083,"NusaXBitextMining":0.0001922727272727273,"STSBenchmark":0.333212,"StackOverflowQA":0.33329,"MultiEURLEXMultilabelClassification":0.02529478260869565,"NorwegianCourtsBitextMining":0.391006,"PlscClusteringP2P.v2":0.712742,"ToxicConversationsClassification":0.631787,"BrazilianToxicTweetsClassification":0.177393,"IndicLangClassification":0.953156,"News21InstructionRetrieval":0.017608,"GujaratiNewsClassification":0.675417,"SiswatiNewsClassification":0.715,"STS17":0.2459242727272727,"NollySentiBitextMining":0.014943499999999998,"STS15":0.483298,"TempReasonL1":0.0004,"MedrxivClusteringP2P.v2":0.346075,"TRECCOVID":0.13112,"NepaliNewsClassification":0.903223,"ArmenianParaphrasePC":0.911933,"AmazonCounterfactualClassification":0.66562675,"KorHateSpeechMLClassification":0.039175,"BelebeleRetrieval":0.05499614361702128,"AlloprofReranking":0.272401,"NordicLangClassification":0.8043,"StatcanDialogueDatasetRetrieval":0.0139725,"RuBQReranking":0.283801,"STSES":0.550955,"WikiClusteringP2P.v2":0.2203967142857143,"FinParaSTS":-0.005552,"OpusparcusPC":0.8573445833333334,"CataloniaTweetClassification":0.47847675,"GermanSTSBenchmark":0.3980455,"SwissJudgementClassification":0.5269156666666667,"MLQARetrieval":0.04651132653061225,"SwednClusteringP2P":0.24382,"DBpediaClassification":0.875488,"HagridRetrieval":0.46209,"TswanaNewsClassification":0.285421,"WikipediaRetrievalMultilingual":0.19933,"ArguAna":0.21347,"MIRACLRetrievalHardNegatives":0.03394388888888889,"IsiZuluNewsClassification":0.242021,"DiaBlaBitextMining":0.002537,"LegalBenchCorporateLobbying":0.50447,"EstonianValenceClassification":0.359291,"SinhalaNewsClassification":0.533984,"SprintDuplicateQuestions":0.499197,"CovidRetrieval":0.12688,"IndicCrosslingualSTS":0.07974633333333334,"Core17InstructionRetrieval":0.017601,"RTE3":0.86674675,"BibleNLPBitextMining":0.00032031823671497585,"AfriSentiClassification":0.3745924166666667,"PAC":0.689719,"VoyageMMarcoReranking":0.235737,"GreekLegalCodeClassification":0.1922365,"KurdishSentimentClassification":0.572974,"Robust04InstructionRetrieval":-0.013075,"TERRa":0.525111,"indonli":0.516958,"SpartQA":0.00026,"SentimentAnalysisHindi":0.461487,"ItaCaseholdClassification":0.530769,"OdiaNewsClassification":0.416,"MasakhaNEWSClassification":0.6695428125,"FinancialPhrasebankClassification":0.562102,"ArXivHierarchicalClusteringP2P":0.629021,"CLSClusteringP2P.v2":0.36565,"CTKFactsNLI":0.7306729999999999,"JSICK":0.655011,"STSB":0.492801,"FloresBitextMining":0.003492070028011205,"MacedonianTweetSentimentClassification":0.459087,"TweetTopicSingleClassification":0.663142,"SIB200ClusteringS2S":0.08480544162436549,"HALClusteringS2S.v2":0.150617,"BulgarianStoreReviewSentimentClassfication":0.472527,"CzechProductReviewSentimentClassification":0.481494,"PawsXPairClassification":0.5546062857142857,"FilipinoShopeeReviewsClassification":0.33540000000000003,"SemRel24STS":0.37133625,"BigPatentClustering.v2":0.286709,"ArXivHierarchicalClusteringS2S":0.572064,"AILAStatutes":0.1523,"MultiHateClassification":0.5763454545454546,"MasakhaNEWSClusteringS2S":0.3295020625,"DalajClassification":0.499212,"T2Reranking":0.596485,"WebLINXCandidatesReranking":0.067782,"KorSarcasmClassification":0.560303,"NusaX-senti":0.5619375,"StackExchangeClustering.v2":0.540221,"Tatoeba":0.0017885357142857143,"PolEmo2.0-OUT":0.393117,"RomaniBibleClustering":0.39185,"STS22.v2":0.35419727777777776,"PoemSentimentClassification":0.37698750000000003,"IndicGenBenchFloresBitextMining":0.0029982155172413793},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":149,"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":{"STS":0.5608430784406566,"Clustering":0.37887463665926396,"PairClassification":0.7123089848484848,"Reranking":0.4028470208333333,"Retrieval":0.3251357220101398,"InstructionReranking":-0.028401333333333334,"BitextMining":0.20094318510139028,"MultilabelClassification":0.15054333913043477},"scoresByTask":{"ScalaClassification":0.50294175,"IndonesianIdClickbaitClassification":0.538833,"SICK-R":0.775824,"SCIDOCS":0.21641,"PunjabiNewsClassification":0.599363,"AlloProfClusteringS2S.v2":0.311067,"SlovakMovieReviewSentimentClassification":0.535449,"WikipediaRerankingMultilingual":0.645374125,"NTREXBitextMining":0.1275167176409186,"NusaParagraphEmotionClassification":0.2709792,"MassiveIntentClassification":0.27579033513129075,"STS13":0.806032,"CyrillicTurkicLangClassification":0.649414,"CSFDSKMovieReviewSentimentClassification":0.202295,"XNLI":0.5834741785714286,"CEDRClassification":0.327152,"WinoGrande":0.47337,"IN22GenBitextMining":0.031723081027667986,"NusaTranslationBitextMining":0.553488,"TwitterURLCorpus":0.847017,"PpcPC":0.698808,"TwitterHjerneRetrieval":0.09811,"MalteseNewsClassification":0.153026,"STS12":0.72369,"LEMBPasskeyRetrieval":0.23249999999999998,"BUCC.v2":0.10671549999999999,"SwahiliNewsClassification":0.385156,"BiorxivClusteringP2P.v2":0.409887,"STS14":0.755891,"BornholmBitextMining":0.296813,"FaroeseSTS":0.582364,"WikiCitiesClustering":0.756354,"NusaXBitextMining":0.18903645454545454,"STSBenchmark":0.820325,"StackOverflowQA":0.83958,"MultiEURLEXMultilabelClassification":0.022488695652173915,"NorwegianCourtsBitextMining":0.865497,"PlscClusteringP2P.v2":0.642144,"ToxicConversationsClassification":0.620947265625,"BrazilianToxicTweetsClassification":0.213428,"IndicLangClassification":0.486952,"News21InstructionRetrieval":-0.00247,"GujaratiNewsClassification":0.425797,"SiswatiNewsClassification":0.6025,"STS17":0.3644377272727273,"NollySentiBitextMining":0.250244,"STS15":0.853896,"TempReasonL1":0.01526,"MedrxivClusteringP2P.v2":0.376066,"TRECCOVID":0.47246,"NepaliNewsClassification":0.471387,"ArmenianParaphrasePC":0.877853,"KorHateSpeechMLClassification":0.036622,"BelebeleRetrieval":0.20799976063829786,"AlloprofReranking":0.626217,"NordicLangClassification":0.546967,"StatcanDialogueDatasetRetrieval":0.104745,"RuBQReranking":0.27049,"STSES":0.643256,"WikiClusteringP2P.v2":0.2291675,"FinParaSTS":0.103726,"OpusparcusPC":0.8712918333333333,"CataloniaTweetClassification":0.44852325,"GermanSTSBenchmark":0.6392804999999999,"SwissJudgementClassification":0.5452203333333333,"MLQARetrieval":0.13235469387755103,"SwednClusteringP2P":0.164217,"DBpediaClassification":0.854395,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.232649,"WikipediaRetrievalMultilingual":0.388066875,"ArguAna":0.50167,"MIRACLRetrievalHardNegatives":0.08781666666666667,"IsiZuluNewsClassification":0.233644,"DiaBlaBitextMining":0.035009,"LegalBenchCorporateLobbying":0.86413,"EstonianValenceClassification":0.288509,"SinhalaNewsClassification":0.372754,"SprintDuplicateQuestions":0.945506,"CovidRetrieval":0.00795,"IndicCrosslingualSTS":-0.06275766666666667,"Core17InstructionRetrieval":-0.003451,"RTE3":0.8550012499999999,"BibleNLPBitextMining":0.011137924516908213,"AfriSentiClassification":0.39807774999999995,"PAC":0.59777,"VoyageMMarcoReranking":0.231784,"GreekLegalCodeClassification":0.033007499999999995,"KurdishSentimentClassification":0.58148,"Robust04InstructionRetrieval":-0.079283,"TERRa":0.450325,"indonli":0.48637,"SpartQA":0.0165,"SentimentAnalysisHindi":0.379391,"ItaCaseholdClassification":0.511765,"OdiaNewsClassification":0.536362,"MasakhaNEWSClassification":0.5539274375000001,"FinancialPhrasebankClassification":0.74492,"ArXivHierarchicalClusteringP2P":0.591069,"CLSClusteringP2P.v2":0.160126,"CTKFactsNLI":0.699881,"JSICK":0.713296,"STSB":0.420483,"FloresBitextMining":0.08523129170288804,"MacedonianTweetSentimentClassification":0.353117,"TweetTopicSingleClassification":0.677614,"SIB200ClusteringS2S":0.06617043654822335,"HALClusteringS2S.v2":0.195182,"BulgarianStoreReviewSentimentClassfication":0.281868,"CzechProductReviewSentimentClassification":0.425098,"PawsXPairClassification":0.5198715714285714,"FilipinoShopeeReviewsClassification":0.254541,"SemRel24STS":0.4158695833333333,"BigPatentClustering.v2":0.330369,"ArXivHierarchicalClusteringS2S":0.545423,"AILAStatutes":0.20516,"MultiHateClassification":0.5401727272727274,"MasakhaNEWSClusteringS2S":0.38309225,"DalajClassification":0.498986,"T2Reranking":0.562593,"WebLINXCandidatesReranking":0.080624,"KorSarcasmClassification":0.537256,"NusaX-senti":0.5490208333333334,"StackExchangeClustering.v2":0.520094,"Tatoeba":0.03876816964285714,"PolEmo2.0-OUT":0.25,"RomaniBibleClustering":0.381566,"STS22.v2":0.4178761111111111,"PoemSentimentClassification":0.457486,"IndicGenBenchFloresBitextMining":0.02108126724137931},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":150,"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":0.41388331665689,"meanTaskType":0.35121232771871097,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5608406488117608,"Classification":0.4619891058722598,"Clustering":0.3746685041822909,"PairClassification":0.7123465614393901,"Reranking":0.4028457288760112,"Retrieval":0.3251344483694778,"InstructionReranking":-0.028395899216562482,"BitextMining":0.20093853798518438,"MultilabelClassification":0.15054331314858643},"scoresByTask":{"ScalaClassification":0.50294189453125,"IndonesianIdClickbaitClassification":0.5388334753005497,"SICK-R":0.7758245525469719,"SCIDOCS":0.21641,"PunjabiNewsClassification":0.5993630573248407,"AlloProfClusteringS2S.v2":0.31106653686581687,"SlovakMovieReviewSentimentClassification":0.53544921875,"WikipediaRerankingMultilingual":0.6453740906084656,"NTREXBitextMining":0.12752171988262676,"NusaParagraphEmotionClassification":0.2709792697760127,"MassiveIntentClassification":0.27580150008606036,"STS13":0.8060316722220763,"CyrillicTurkicLangClassification":0.6494140625,"CSFDSKMovieReviewSentimentClassification":0.202294921875,"XNLI":0.5837044180010047,"CEDRClassification":0.3271519659936238,"WinoGrande":0.47349,"IN22GenBitextMining":0.031727883187521774,"NusaTranslationBitextMining":0.5534834731743657,"TwitterURLCorpus":0.8470165732885377,"PpcPC":0.698808055469613,"TwitterHjerneRetrieval":0.09811,"MalteseNewsClassification":0.15302568567696995,"STS12":0.7236899998079941,"LEMBPasskeyRetrieval":0.23249999999999998,"BUCC.v2":0.10671587961993721,"SwahiliNewsClassification":0.38515625,"BiorxivClusteringP2P.v2":0.40988693072325083,"STS14":0.7558912408385123,"BornholmBitextMining":0.2968132161955691,"FaroeseSTS":0.5823646054065518,"WikiCitiesClustering":0.7563541374891306,"NusaXBitextMining":0.18903644124328,"STSBenchmark":0.8203247283076371,"StackOverflowQA":0.83958,"MultiEURLEXMultilabelClassification":0.022488695652173915,"NorwegianCourtsBitextMining":0.8654970760233919,"PlscClusteringP2P.v2":0.642143891719447,"ToxicConversationsClassification":0.620947265625,"BrazilianToxicTweetsClassification":0.213427734375,"IndicLangClassification":0.48695180485239,"News21InstructionRetrieval":-0.0024698946482787643,"GujaratiNewsClassification":0.4257966616084977,"SiswatiNewsClassification":0.6024999999999999,"STS17":0.3644377160051358,"NollySentiBitextMining":0.25024383133939915,"STS15":0.8538961998125277,"TempReasonL1":0.01526,"MedrxivClusteringP2P.v2":0.3760657190392798,"TRECCOVID":0.47232,"NepaliNewsClassification":0.47138671875,"ArmenianParaphrasePC":0.8778529649601945,"AmazonCounterfactualClassification":0.612801085532554,"KorHateSpeechMLClassification":0.03662248404516446,"BelebeleRetrieval":0.20799683510638298,"AlloprofReranking":0.6262172640988071,"NordicLangClassification":0.5469666666666667,"StatcanDialogueDatasetRetrieval":0.104745,"RuBQReranking":0.27049018085869947,"STSES":0.6432562715409338,"WikiClusteringP2P.v2":0.23028238845653948,"FinParaSTS":0.1037258929878844,"OpusparcusPC":0.871291849533954,"CataloniaTweetClassification":0.4489,"GermanSTSBenchmark":0.63928061999339,"SwissJudgementClassification":0.5452370780686193,"MLQARetrieval":0.13235469387755103,"SwednClusteringP2P":0.1642169644991563,"DBpediaClassification":0.85439453125,"HagridRetrieval":0.98836,"TswanaNewsClassification":0.23264887063655032,"WikipediaRetrievalMultilingual":0.388066875,"ArguAna":0.50167,"MIRACLRetrievalHardNegatives":0.08781666666666667,"IsiZuluNewsClassification":0.23364361702127662,"DiaBlaBitextMining":0.03494176680364238,"LegalBenchCorporateLobbying":0.86413,"EstonianValenceClassification":0.2885085574572127,"SinhalaNewsClassification":0.37275390625,"SprintDuplicateQuestions":0.9455063045792448,"CovidRetrieval":0.00795,"IndicCrosslingualSTS":-0.06275768107301821,"Core17InstructionRetrieval":-0.003451558105842423,"RTE3":0.85500108394591,"BibleNLPBitextMining":0.011138576083412973,"AfriSentiClassification":0.39807784818521946,"PAC":0.5977700550246163,"VoyageMMarcoReranking":0.23178399294632235,"GreekLegalCodeClassification":0.0330078125,"KurdishSentimentClassification":0.5814796175138399,"Robust04InstructionRetrieval":-0.07926624489556626,"TERRa":0.45032509347412525,"indonli":0.4863701148184245,"SpartQA":0.0165,"SentimentAnalysisHindi":0.37939144205770264,"ItaCaseholdClassification":0.5117647058823529,"OdiaNewsClassification":0.5363623537701006,"MasakhaNEWSClassification":0.5539273624836312,"FinancialPhrasebankClassification":0.7449204946996466,"ArXivHierarchicalClusteringP2P":0.5910688886391535,"CLSClusteringP2P.v2":0.1601255605728116,"CTKFactsNLI":0.6998808878706495,"JSICK":0.7132956112573411,"STSB":0.4204829763657761,"FloresBitextMining":0.08523166582150102,"MacedonianTweetSentimentClassification":0.35311676909569795,"TweetTopicSingleClassification":0.6776137034849381,"SIB200ClusteringS2S":0.06617230524659697,"HALClusteringS2S.v2":0.19518159678221486,"BulgarianStoreReviewSentimentClassfication":0.28186813186813187,"CzechProductReviewSentimentClassification":0.42509765625,"PawsXPairClassification":0.5200548298916328,"FilipinoShopeeReviewsClassification":0.254541015625,"SemRel24STS":0.4158299687313574,"BigPatentClustering.v2":0.33036873395618593,"ArXivHierarchicalClusteringS2S":0.5454234024039991,"AILAStatutes":0.20516,"MultiHateClassification":0.5401727272727274,"MasakhaNEWSClusteringS2S":0.3830922209027274,"DalajClassification":0.49898648648648647,"T2Reranking":0.5625847471872464,"WebLINXCandidatesReranking":0.08062409755652669,"KorSarcasmClassification":0.537255859375,"NusaX-senti":0.5490208333333334,"StackExchangeClustering.v2":0.45168045041945826,"Tatoeba":0.0387681767142979,"PolEmo2.0-OUT":0.25,"RomaniBibleClustering":0.38156633920088634,"STS22.v2":0.4178760062371008,"PoemSentimentClassification":0.45748626373626367,"IndicGenBenchFloresBitextMining":0.02108128771845101},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":151,"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":{"STS":0.5123981868686869,"Classification":0.45668325296345813,"Reranking":0.40966021850180984,"InstructionReranking":-0.019576333333333334,"MultilabelClassification":0.17547118163840503},"scoresByTask":{"ScalaClassification":0.50233175,"IndonesianIdClickbaitClassification":0.55813,"SICK-R":0.683356,"SCIDOCS":0.0636,"PunjabiNewsClassification":0.526752,"AlloProfClusteringS2S.v2":0.184139,"SlovakMovieReviewSentimentClassification":0.541895,"WikipediaRerankingMultilingual":0.653285,"NusaParagraphEmotionClassification":0.2409233,"MassiveIntentClassification":0.2421457156862745,"STS13":0.687676,"CyrillicTurkicLangClassification":0.7572265625,"CSFDSKMovieReviewSentimentClassification":0.223535,"CEDRClassification":0.4678002125398512,"WinoGrande":0.44542,"IN22GenBitextMining":0.059279828063241106,"NusaTranslationBitextMining":0.7008840909090909,"TwitterURLCorpus":0.816121,"PpcPC":0.752986,"TwitterHjerneRetrieval":0.01922,"MalteseNewsClassification":0.140009,"STS12":0.663084,"LEMBPasskeyRetrieval":0.31,"SwahiliNewsClassification":0.414209,"BiorxivClusteringP2P.v2":0.224626,"STS14":0.671359,"BornholmBitextMining":0.348012,"FaroeseSTS":0.5925,"WikiCitiesClustering":0.589608,"NusaXBitextMining":0.2019088181818182,"STSBenchmark":0.760258,"StackOverflowQA":0.25245,"MultiEURLEXMultilabelClassification":0.023748695652173916,"NorwegianCourtsBitextMining":0.876023,"PlscClusteringP2P.v2":0.659107,"ToxicConversationsClassification":0.624023,"BrazilianToxicTweetsClassification":0.200928,"IndicLangClassification":0.514768,"News21InstructionRetrieval":0.015075,"GujaratiNewsClassification":0.47352,"SiswatiNewsClassification":0.51625,"STS17":0.34083454545454545,"NollySentiBitextMining":0.30084875,"STS15":0.798783,"TempReasonL1":0.01214,"MedrxivClusteringP2P.v2":0.285587,"TRECCOVID":0.20166,"NepaliNewsClassification":0.381006,"ArmenianParaphrasePC":0.873068,"AmazonCounterfactualClassification":0.5988165,"KorHateSpeechMLClassification":0.04487,"AlloprofReranking":0.386671,"NordicLangClassification":0.452067,"StatcanDialogueDatasetRetrieval":0.053247499999999996,"RuBQReranking":0.6441753110108592,"STSES":0.707118,"WikiClusteringP2P.v2":0.2102722142857143,"FinParaSTS":0.0962565,"OpusparcusPC":0.8975374166666666,"CataloniaTweetClassification":0.44381499999999996,"GermanSTSBenchmark":0.647648,"SwissJudgementClassification":0.5495196666666667,"MLQARetrieval":0.13608244897959182,"SwednClusteringP2P":0.1442025,"DBpediaClassification":0.830469,"HagridRetrieval":0.9701,"TswanaNewsClassification":0.194867,"WikipediaRetrievalMultilingual":0.34566875,"ArguAna":0.39926,"MIRACLRetrievalHardNegatives":0.061351666666666665,"IsiZuluNewsClassification":0.224601,"DiaBlaBitextMining":0.180689,"LegalBenchCorporateLobbying":0.79291,"EstonianValenceClassification":0.302812,"SinhalaNewsClassification":0.391357,"SprintDuplicateQuestions":0.832529,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.009437333333333332,"Core17InstructionRetrieval":-0.014162,"RTE3":0.85447625,"AfriSentiClassification":0.36903558333333336,"PAC":0.704141,"VoyageMMarcoReranking":0.181121,"GreekLegalCodeClassification":0.0384275,"KurdishSentimentClassification":0.58158,"Robust04InstructionRetrieval":-0.059642,"TERRa":0.59756668260072,"indonli":0.48023,"SpartQA":0.02995,"SentimentAnalysisHindi":0.354406,"ItaCaseholdClassification":0.500905,"OdiaNewsClassification":0.459704,"MasakhaNEWSClassification":0.541693875,"FinancialPhrasebankClassification":0.628799,"ArXivHierarchicalClusteringP2P":0.497383,"CLSClusteringP2P.v2":0.09821,"CTKFactsNLI":0.7163094999999999,"JSICK":0.558206,"STSB":0.2225815,"MacedonianTweetSentimentClassification":0.443898,"TweetTopicSingleClassification":0.576787,"HALClusteringS2S.v2":0.097611,"BulgarianStoreReviewSentimentClassfication":0.478571,"CzechProductReviewSentimentClassification":0.437207,"PawsXPairClassification":0.5386080714285714,"FilipinoShopeeReviewsClassification":0.2781495,"SemRel24STS":0.34292833333333334,"BigPatentClustering.v2":0.258692,"ArXivHierarchicalClusteringS2S":0.48083,"AILAStatutes":0.10272,"MultiHateClassification":0.5545090909090908,"MasakhaNEWSClusteringS2S":0.3406331875,"DalajClassification":0.499775,"T2Reranking":0.541785,"WebLINXCandidatesReranking":0.050924,"KorSarcasmClassification":0.53999,"NusaX-senti":0.5470833333333334,"StackExchangeClustering.v2":0.438431,"PolEmo2.0-OUT":0.231781,"RomaniBibleClustering":0.40757,"STS22.v2":0.43521944444444444,"PoemSentimentClassification":0.3658975,"IndicGenBenchFloresBitextMining":0.0436643448275862},"scoresByCustomGroup":{},"trainedOnTasks":["BibleNLPBitextMining","TERRa"],"experiments":null},{"rank":152,"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":{"Classification":0.4655119919541257,"Clustering":0.3459077770718138,"PairClassification":0.7122649921497627,"Reranking":0.3958650138888889,"Retrieval":0.27205967867830744,"InstructionReranking":-0.015415,"BitextMining":0.1974757471839745,"MultilabelClassification":0.14011400000000002},"scoresByTask":{"ScalaClassification":0.50058625,"IndonesianIdClickbaitClassification":0.55712,"SICK-R":0.7823859592249686,"SCIDOCS":0.11124,"PunjabiNewsClassification":0.604459,"AlloProfClusteringS2S.v2":0.209747,"SlovakMovieReviewSentimentClassification":0.537891,"WikipediaRerankingMultilingual":0.69902375,"NTREXBitextMining":0.09023710438413361,"NusaParagraphEmotionClassification":0.2813483,"MassiveIntentClassification":0.27598117647058823,"STS13":0.7933304952540263,"CyrillicTurkicLangClassification":0.630957,"CSFDSKMovieReviewSentimentClassification":0.224268,"XNLI":0.5919933571428572,"CEDRClassification":0.338948,"WinoGrande":0.3508,"IN22GenBitextMining":0.029204375494071146,"NusaTranslationBitextMining":0.5590224545454545,"TwitterURLCorpus":0.845306725053528,"PpcPC":0.719799,"TwitterHjerneRetrieval":0.02264,"MalteseNewsClassification":0.146931,"STS12":0.751886741501174,"LEMBPasskeyRetrieval":0.3425,"BUCC.v2":0.0695055,"SwahiliNewsClassification":0.452881,"BiorxivClusteringP2P.v2":0.3489,"STS14":0.7656213113240312,"BornholmBitextMining":0.352686,"FaroeseSTS":0.628047,"WikiCitiesClustering":0.680131,"NusaXBitextMining":0.133827,"STSBenchmark":0.8179344031651781,"StackOverflowQA":0.47642,"MultiEURLEXMultilabelClassification":0.0235,"NorwegianCourtsBitextMining":0.912281,"PlscClusteringP2P.v2":0.61039,"ToxicConversationsClassification":0.651513671875,"BrazilianToxicTweetsClassification":0.158496,"IndicLangClassification":0.423085,"News21InstructionRetrieval":0.010126,"GujaratiNewsClassification":0.428149,"SiswatiNewsClassification":0.45875,"NollySentiBitextMining":0.23836675,"STS15":0.847000298638952,"TempReasonL1":0.01313,"MedrxivClusteringP2P.v2":0.323423,"TRECCOVID":0.35736000000000007,"NepaliNewsClassification":0.429639,"ArmenianParaphrasePC":0.873995,"AmazonCounterfactualClassification":0.673900875,"KorHateSpeechMLClassification":0.032695,"BelebeleRetrieval":0.14703159574468086,"AlloprofReranking":0.417415,"NordicLangClassification":0.575067,"StatcanDialogueDatasetRetrieval":0.045097500000000006,"RuBQReranking":0.29387,"STSES":0.754312,"WikiClusteringP2P.v2":0.21522464285714288,"FinParaSTS":0.130311,"OpusparcusPC":0.8763417499999999,"CataloniaTweetClassification":0.43821975,"GermanSTSBenchmark":0.6389425,"SwissJudgementClassification":0.5414566666666667,"MLQARetrieval":0.09157255102040816,"SwednClusteringP2P":0.149821,"DBpediaClassification":0.832178,"HagridRetrieval":0.95822,"TswanaNewsClassification":0.279055,"WikipediaRetrievalMultilingual":0.394103125,"ArguAna":0.35865,"MIRACLRetrievalHardNegatives":0.07771944444444444,"IsiZuluNewsClassification":0.237234,"DiaBlaBitextMining":0.068707,"LegalBenchCorporateLobbying":0.82039,"EstonianValenceClassification":0.287531,"SinhalaNewsClassification":0.343066,"SprintDuplicateQuestions":0.9015934028795763,"CovidRetrieval":0.03492,"IndicCrosslingualSTS":0.02701508333333334,"Core17InstructionRetrieval":0.01566,"RTE3":0.86464725,"BibleNLPBitextMining":0.0066283435990338166,"AfriSentiClassification":0.37360883333333333,"PAC":0.57715,"VoyageMMarcoReranking":0.294249,"GreekLegalCodeClassification":0.0379395,"KurdishSentimentClassification":0.560493,"Robust04InstructionRetrieval":-0.072031,"TERRa":0.456607,"indonli":0.479331,"SpartQA":0.07108,"SentimentAnalysisHindi":0.352085,"ItaCaseholdClassification":0.553394,"OdiaNewsClassification":0.594616,"MasakhaNEWSClassification":0.5660673125,"FinancialPhrasebankClassification":0.726723,"ArXivHierarchicalClusteringP2P":0.556376,"CLSClusteringP2P.v2":0.153869,"CTKFactsNLI":0.7122785,"JSICK":0.638616,"STSB":0.38280000000000003,"FloresBitextMining":0.04632692859557616,"MacedonianTweetSentimentClassification":0.35259,"TweetTopicSingleClassification":0.623981,"SIB200ClusteringS2S":0.04256485279187817,"HALClusteringS2S.v2":0.122757,"BulgarianStoreReviewSentimentClassfication":0.337363,"CzechProductReviewSentimentClassification":0.449268,"PawsXPairClassification":0.5130219285714286,"FilipinoShopeeReviewsClassification":0.313037,"SemRel24STS":0.38515125,"BigPatentClustering.v2":0.369091,"ArXivHierarchicalClusteringS2S":0.521376,"AILAStatutes":0.2242,"MultiHateClassification":0.5444818181818182,"MasakhaNEWSClusteringS2S":0.35422193750000003,"DalajClassification":0.502027,"T2Reranking":0.585164,"WebLINXCandidatesReranking":0.08546833333333333,"KorSarcasmClassification":0.52251,"NusaX-senti":0.5681875,"StackExchangeClustering.v2":0.503785,"Tatoeba":0.041780196428571434,"PolEmo2.0-OUT":0.272267,"RomaniBibleClustering":0.372847,"STS22.v2":0.3854858333333333,"PoemSentimentClassification":0.5248900000000001,"IndicGenBenchFloresBitextMining":0.018612060344827586},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":153,"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":0.41573379786016496,"meanTaskType":0.3568358687115627,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5296854007260101,"Classification":0.46778828403701855,"Clustering":0.3591922789583711,"PairClassification":0.7146384318596647,"Reranking":0.455750840644982,"Retrieval":0.3268247305296232,"InstructionReranking":-0.03526966666666667,"BitextMining":0.22338273696312264,"MultilabelClassification":0.16952978135193825},"scoresByTask":{"ScalaClassification":0.500366,"IndonesianIdClickbaitClassification":0.568009,"SICK-R":0.731819,"SCIDOCS":0.14939,"PunjabiNewsClassification":0.485987,"AlloProfClusteringS2S.v2":0.206694,"SlovakMovieReviewSentimentClassification":0.55249,"WikipediaRerankingMultilingual":0.63673625,"NTREXBitextMining":0.17609088308977036,"NusaParagraphEmotionClassification":0.2465892,"MassiveIntentClassification":0.24414950980392155,"STS13":0.780072,"CyrillicTurkicLangClassification":0.541309,"CSFDSKMovieReviewSentimentClassification":0.214307,"XNLI":0.5722383928571428,"CEDRClassification":0.44686503719447385,"WinoGrande":0.47737,"IN22GenBitextMining":0.03304446442687747,"NusaTranslationBitextMining":0.647083,"TwitterURLCorpus":0.812472,"PpcPC":0.679745,"TwitterHjerneRetrieval":0.03846,"MalteseNewsClassification":0.173052,"STS12":0.676231,"LEMBPasskeyRetrieval":0.295,"BUCC.v2":0.26148525,"SwahiliNewsClassification":0.400586,"BiorxivClusteringP2P.v2":0.368041,"STS14":0.714767,"BornholmBitextMining":0.269825,"FaroeseSTS":0.559282,"WikiCitiesClustering":0.722436,"NusaXBitextMining":0.134686,"STSBenchmark":0.799474,"StackOverflowQA":0.70616,"MultiEURLEXMultilabelClassification":0.022960869565217392,"NorwegianCourtsBitextMining":0.845029,"PlscClusteringP2P.v2":0.638956,"ToxicConversationsClassification":0.637158,"BrazilianToxicTweetsClassification":0.171094,"IndicLangClassification":0.645029,"News21InstructionRetrieval":-0.008331,"GujaratiNewsClassification":0.424734,"SiswatiNewsClassification":0.51125,"STS17":0.26998927272727274,"NollySentiBitextMining":0.27442825000000004,"STS15":0.836179,"TempReasonL1":0.01302,"MedrxivClusteringP2P.v2":0.364014,"TRECCOVID":0.63167,"NepaliNewsClassification":0.472119,"ArmenianParaphrasePC":0.863395,"AmazonCounterfactualClassification":0.61691625,"KorHateSpeechMLClassification":0.033677,"BelebeleRetrieval":0.23324585106382978,"AlloprofReranking":0.500979,"NordicLangClassification":0.489433,"StatcanDialogueDatasetRetrieval":0.1280675,"RuBQReranking":0.708676293869892,"STSES":0.616056,"WikiClusteringP2P.v2":0.2376132142857143,"FinParaSTS":0.080605,"OpusparcusPC":0.8902169166666667,"CataloniaTweetClassification":0.43523625,"GermanSTSBenchmark":0.5712345,"SwissJudgementClassification":0.5557300000000001,"MLQARetrieval":0.13395367346938775,"SwednClusteringP2P":0.163908,"DBpediaClassification":0.871729,"HagridRetrieval":0.9862,"TswanaNewsClassification":0.212115,"WikipediaRetrievalMultilingual":0.390298125,"ArguAna":0.46085,"MIRACLRetrievalHardNegatives":0.14175,"IsiZuluNewsClassification":0.213165,"DiaBlaBitextMining":0.041768,"LegalBenchCorporateLobbying":0.88156,"EstonianValenceClassification":0.312836,"SinhalaNewsClassification":0.38374,"SprintDuplicateQuestions":0.882446,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.03349208333333333,"Core17InstructionRetrieval":-0.011537,"RTE3":0.85594975,"BibleNLPBitextMining":0.01624330495169082,"AfriSentiClassification":0.35136775000000003,"PAC":0.655807,"VoyageMMarcoReranking":0.200888,"GreekLegalCodeClassification":0.0195555,"KurdishSentimentClassification":0.627126,"Robust04InstructionRetrieval":-0.085941,"TERRa":0.6078861909325018,"indonli":0.486623,"SpartQA":0.02735,"SentimentAnalysisHindi":0.341046,"ItaCaseholdClassification":0.453846,"OdiaNewsClassification":0.593353,"MasakhaNEWSClassification":0.574602375,"FinancialPhrasebankClassification":0.771422,"ArXivHierarchicalClusteringP2P":0.567633,"CLSClusteringP2P.v2":0.073322,"CTKFactsNLI":0.6909235,"JSICK":0.685397,"STSB":0.354265,"FloresBitextMining":0.109850955761615,"MacedonianTweetSentimentClassification":0.427129,"TweetTopicSingleClassification":0.646604,"SIB200ClusteringS2S":0.08482843654822335,"HALClusteringS2S.v2":0.118955,"BulgarianStoreReviewSentimentClassfication":0.523626,"CzechProductReviewSentimentClassification":0.434082,"PawsXPairClassification":0.519127,"FilipinoShopeeReviewsClassification":0.2849365,"SemRel24STS":0.33304016666666664,"BigPatentClustering.v2":0.393564,"ArXivHierarchicalClusteringS2S":0.518268,"AILAStatutes":0.1885,"MultiHateClassification":0.5472545454545454,"MasakhaNEWSClusteringS2S":0.37658281250000003,"DalajClassification":0.498986,"T2Reranking":0.608374,"WebLINXCandidatesReranking":0.0788515,"KorSarcasmClassification":0.551465,"NusaX-senti":0.5464583333333334,"StackExchangeClustering.v2":0.525582,"Tatoeba":0.07574344642857143,"PolEmo2.0-OUT":0.221255,"RomaniBibleClustering":0.386679,"STS22.v2":0.4330633888888889,"PoemSentimentClassification":0.509991,"IndicGenBenchFloresBitextMining":0.018698025862068965},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","XNLI"],"experiments":null},{"rank":154,"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":0.46843012722573274},"scoresByTask":{"ScalaClassification":0.503833,"IndonesianIdClickbaitClassification":0.574156,"SICK-R":0.819215,"SCIDOCS":0.24323,"AlloProfClusteringS2S.v2":0.480368,"SlovakMovieReviewSentimentClassification":0.830469,"WikipediaRerankingMultilingual":0.84881525,"NTREXBitextMining":0.4912096450939457,"MassiveIntentClassification":0.5105573823529411,"STS13":0.849568,"CyrillicTurkicLangClassification":0.486719,"CSFDSKMovieReviewSentimentClassification":0.371436,"XNLI":0.6410096428571429,"CEDRClassification":0.450319,"WinoGrande":0.28753,"IN22GenBitextMining":0.17629316600790512,"NusaTranslationBitextMining":0.5803091818181818,"TwitterURLCorpus":0.886603,"PpcPC":0.887777,"TwitterHjerneRetrieval":0.79503,"STS12":0.7333804727079534,"BUCC.v2":0.9758037500000001,"BiorxivClusteringP2P.v2":0.443318,"STS14":0.826724,"BornholmBitextMining":0.346589,"FaroeseSTS":0.735071,"NusaXBitextMining":0.49863690909090913,"STSBenchmark":0.875854,"NorwegianCourtsBitextMining":0.899123,"PlscClusteringP2P.v2":0.708681,"ToxicConversationsClassification":0.693896,"BrazilianToxicTweetsClassification":0.171533,"IndicLangClassification":0.703981,"GujaratiNewsClassification":0.540516,"SiswatiNewsClassification":0.58875,"STS17":0.7488503636363636,"NollySentiBitextMining":0.31134475,"STS15":0.876434,"TempReasonL1":0.01098,"MedrxivClusteringP2P.v2":0.395766,"TRECCOVID":0.85067,"NepaliNewsClassification":0.885352,"ArmenianParaphrasePC":0.921954,"AmazonCounterfactualClassification":0.7731615000000001,"KorHateSpeechMLClassification":0.069072,"NordicLangClassification":0.5716,"RuBQReranking":0.705939,"STSES":0.788201,"WikiClusteringP2P.v2":0.27841657142857146,"FinParaSTS":0.175537,"OpusparcusPC":0.929509,"CataloniaTweetClassification":0.502607,"GermanSTSBenchmark":0.840449,"SwissJudgementClassification":0.5696466666666667,"SwednClusteringP2P":0.394387,"DBpediaClassification":0.897363,"HagridRetrieval":0.9887,"WikipediaRetrievalMultilingual":0.838710625,"ArguAna":0.58613,"IsiZuluNewsClassification":0.262633,"DiaBlaBitextMining":0.739519,"LegalBenchCorporateLobbying":0.95323,"EstonianValenceClassification":0.392665,"SprintDuplicateQuestions":0.958253,"IndicCrosslingualSTS":0.0688005,"RTE3":0.8802525,"BibleNLPBitextMining":0.0715018466183575,"AfriSentiClassification":0.43200299999999997,"PAC":0.65349,"VoyageMMarcoReranking":0.538107,"KurdishSentimentClassification":0.619678,"TERRa":0.564331,"indonli":0.509135,"SpartQA":0.00303,"SentimentAnalysisHindi":0.47186,"OdiaNewsClassification":0.478969,"FinancialPhrasebankClassification":0.826855,"ArXivHierarchicalClusteringP2P":0.58827,"CTKFactsNLI":0.789528,"JSICK":0.812746,"STSB":0.805545,"FloresBitextMining":0.32156788498502853,"MacedonianTweetSentimentClassification":0.505004,"TweetTopicSingleClassification":0.695334,"SIB200ClusteringS2S":0.252623076142132,"HALClusteringS2S.v2":0.285221,"BulgarianStoreReviewSentimentClassfication":0.672527,"CzechProductReviewSentimentClassification":0.560498,"PawsXPairClassification":0.5914977857142858,"FilipinoShopeeReviewsClassification":0.36911649999999996,"SemRel24STS":0.56074925,"ArXivHierarchicalClusteringS2S":0.582597,"AILAStatutes":0.40747,"MultiHateClassification":0.6306545454545455,"MasakhaNEWSClusteringS2S":0.38759925,"DalajClassification":0.500338,"KorSarcasmClassification":0.576514,"NusaX-senti":0.6399583333333333,"StackExchangeClustering.v2":0.574236,"Tatoeba":0.42785308928571425,"PolEmo2.0-OUT":0.338866,"RomaniBibleClustering":0.395794,"STS22.v2":0.7029587777777777,"PoemSentimentClassification":0.568425,"IndicGenBenchFloresBitextMining":0.24984043103448278},"scoresByCustomGroup":{},"trainedOnTasks":[],"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":{"PairClassification":0.7162911760113686,"InstructionReranking":-0.04316433333333333,"BitextMining":0.2632677219808752},"scoresByTask":{"ScalaClassification":0.50098875,"IndonesianIdClickbaitClassification":0.549371,"SICK-R":0.791378154534123,"SCIDOCS":0.17626,"PunjabiNewsClassification":0.530573,"AlloProfClusteringS2S.v2":0.3065,"SlovakMovieReviewSentimentClassification":0.493164,"NTREXBitextMining":0.18910228340292276,"NusaParagraphEmotionClassification":0.2429453,"STS13":0.8085907200101076,"CyrillicTurkicLangClassification":0.289746,"CSFDSKMovieReviewSentimentClassification":0.200439,"XNLI":0.5662207857142857,"CEDRClassification":0.354357,"WinoGrande":0.54768,"IN22GenBitextMining":0.09884634584980237,"NusaTranslationBitextMining":0.45598381818181816,"TwitterURLCorpus":0.8533305785100573,"PpcPC":0.683775,"TwitterHjerneRetrieval":0.04187,"MalteseNewsClassification":0.128994,"STS12":0.7506080146054281,"LEMBPasskeyRetrieval":0.38,"BUCC.v2":0.448135,"SwahiliNewsClassification":0.456396,"BiorxivClusteringP2P.v2":0.364538,"STS14":0.7612917164308409,"BornholmBitextMining":0.301276,"FaroeseSTS":0.601788,"WikiCitiesClustering":0.621369,"NusaXBitextMining":0.19401027272727275,"STSBenchmark":0.8257071649593358,"StackOverflowQA":0.77214,"NorwegianCourtsBitextMining":0.842398,"PlscClusteringP2P.v2":0.62734,"ToxicConversationsClassification":0.661456,"BrazilianToxicTweetsClassification":0.15542,"IndicLangClassification":0.102923,"News21InstructionRetrieval":-0.033253,"GujaratiNewsClassification":0.523824,"SiswatiNewsClassification":0.40125,"NollySentiBitextMining":0.28354625,"STS15":0.8555427877110485,"TempReasonL1":0.00656,"MedrxivClusteringP2P.v2":0.339342,"TRECCOVID":0.60571,"NepaliNewsClassification":0.438623,"ArmenianParaphrasePC":0.851965,"AmazonCounterfactualClassification":0.610043125,"KorHateSpeechMLClassification":0.06755,"AlloprofReranking":0.664294,"NordicLangClassification":0.421533,"StatcanDialogueDatasetRetrieval":0.1397875,"RuBQReranking":0.295672,"STSES":0.695216,"WikiClusteringP2P.v2":0.2141875,"FinParaSTS":0.086461,"OpusparcusPC":0.8684103333333333,"CataloniaTweetClassification":0.43406175,"GermanSTSBenchmark":0.710297,"SwissJudgementClassification":0.4936993333333333,"MLQARetrieval":0.2020637755102041,"SwednClusteringP2P":0.149952,"DBpediaClassification":0.822363,"HagridRetrieval":0.98996,"TswanaNewsClassification":0.205955,"ArguAna":0.49006,"MIRACLRetrievalHardNegatives":0.126855,"IsiZuluNewsClassification":0.215824,"DiaBlaBitextMining":0.360949,"LegalBenchCorporateLobbying":0.89243,"EstonianValenceClassification":0.26088,"SinhalaNewsClassification":0.357178,"SprintDuplicateQuestions":0.9548085242816634,"CovidRetrieval":0.00077,"IndicCrosslingualSTS":0.030416333333333337,"Core17InstructionRetrieval":-0.002957,"RTE3":0.8611645,"BibleNLPBitextMining":0.02254630374396135,"AfriSentiClassification":0.35872449999999995,"PAC":0.555807,"VoyageMMarcoReranking":0.161368,"GreekLegalCodeClassification":0.012524500000000001,"KurdishSentimentClassification":0.5308,"Robust04InstructionRetrieval":-0.093283,"TERRa":0.48761,"indonli":0.511614,"SpartQA":0.06991,"SentimentAnalysisHindi":0.343603,"ItaCaseholdClassification":0.536652,"OdiaNewsClassification":0.513001,"MasakhaNEWSClassification":0.5640675,"FinancialPhrasebankClassification":0.618507,"ArXivHierarchicalClusteringP2P":0.517135,"CLSClusteringP2P.v2":0.096526,"CTKFactsNLI":0.7160205,"JSICK":0.02014,"STSB":0.0370015,"FloresBitextMining":0.11923688863131458,"MacedonianTweetSentimentClassification":0.320808,"TweetTopicSingleClassification":0.6544,"HALClusteringS2S.v2":0.18572,"BulgarianStoreReviewSentimentClassfication":0.252198,"CzechProductReviewSentimentClassification":0.432227,"PawsXPairClassification":0.5242837142857143,"FilipinoShopeeReviewsClassification":0.250757,"SemRel24STS":0.26729508333333335,"BigPatentClustering.v2":0.280884,"ArXivHierarchicalClusteringS2S":0.468014,"AILAStatutes":0.23112,"MasakhaNEWSClusteringS2S":0.34019975,"DalajClassification":0.502703,"T2Reranking":0.541855,"WebLINXCandidatesReranking":0.10536466666666666,"KorSarcasmClassification":0.509033,"NusaX-senti":0.5206875000000001,"StackExchangeClustering.v2":0.455653,"Tatoeba":0.0717729732142857,"PolEmo2.0-OUT":0.253036,"RomaniBibleClustering":0.328941,"STS22.v2":0.4954819444444445,"PoemSentimentClassification":0.472738,"IndicGenBenchFloresBitextMining":0.03467725},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":156,"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":{"PairClassification":0.7283264496486764,"Reranking":0.37018195524280967,"InstructionReranking":-0.011026666666666666,"BitextMining":0.20466889636225563},"scoresByTask":{"ScalaClassification":0.50363775,"IndonesianIdClickbaitClassification":0.571434,"SICK-R":0.7991790376084446,"SCIDOCS":0.17235,"PunjabiNewsClassification":0.80828,"AlloProfClusteringS2S.v2":0.182975,"SlovakMovieReviewSentimentClassification":0.530957,"WikipediaRerankingMultilingual":0.5873819375,"NTREXBitextMining":0.06702065605427975,"NusaParagraphEmotionClassification":0.37869450000000004,"STS13":0.8361682237930194,"CyrillicTurkicLangClassification":0.767969,"CSFDSKMovieReviewSentimentClassification":0.212695,"XNLI":0.5809777857142857,"CEDRClassification":0.317747,"WinoGrande":0.02563,"IN22GenBitextMining":0.16328869367588933,"NusaTranslationBitextMining":0.29033963636363636,"TwitterURLCorpus":0.8561513175543741,"PpcPC":0.665559,"TwitterHjerneRetrieval":0.10372,"MalteseNewsClassification":0.165651,"STS12":0.7579610155624811,"BUCC.v2":0.055437749999999994,"SwahiliNewsClassification":0.629492,"BiorxivClusteringP2P.v2":0.390152,"STS14":0.7873277873007593,"BornholmBitextMining":0.219071,"FaroeseSTS":0.379412,"NusaXBitextMining":0.2262568181818182,"STSBenchmark":0.8578865814488006,"NorwegianCourtsBitextMining":0.795906,"PlscClusteringP2P.v2":0.628559,"ToxicConversationsClassification":0.720118,"BrazilianToxicTweetsClassification":0.199219,"IndicLangClassification":0.889312,"News21InstructionRetrieval":-0.00244,"GujaratiNewsClassification":0.759863,"SiswatiNewsClassification":0.73625,"STS17":0.6535248256736564,"NollySentiBitextMining":0.1706845,"STS15":0.8641326579037185,"TempReasonL1":0.002,"MedrxivClusteringP2P.v2":0.363676,"TRECCOVID":0.8002800000000001,"NepaliNewsClassification":0.93667,"ArmenianParaphrasePC":0.899392,"KorHateSpeechMLClassification":0.045655,"BelebeleRetrieval":0.12866856382978722,"AlloprofReranking":0.385962,"NordicLangClassification":0.5931,"RuBQReranking":0.231785,"STSES":0.616772,"FinParaSTS":0.0040245,"OpusparcusPC":0.8660945,"CataloniaTweetClassification":0.48711550000000003,"GermanSTSBenchmark":0.4267155,"SwissJudgementClassification":0.530852,"MLQARetrieval":0.200269693877551,"SwednClusteringP2P":0.0775145,"DBpediaClassification":0.915918,"HagridRetrieval":0.90647,"TswanaNewsClassification":0.263039,"WikipediaRetrievalMultilingual":0.219188125,"ArguAna":0.46671,"MIRACLRetrievalHardNegatives":0.058451111111111106,"IsiZuluNewsClassification":0.244947,"DiaBlaBitextMining":0.029607994646068406,"LegalBenchCorporateLobbying":0.75834,"EstonianValenceClassification":0.286186,"SinhalaNewsClassification":0.419824,"SprintDuplicateQuestions":0.9473016642953513,"CovidRetrieval":0.6814199999999999,"IndicCrosslingualSTS":0.10652808333333334,"Core17InstructionRetrieval":0.002899,"RTE3":0.8682617499999999,"BibleNLPBitextMining":0.013339938405797102,"AfriSentiClassification":0.3771090833333333,"PAC":0.644367,"VoyageMMarcoReranking":0.271585,"KurdishSentimentClassification":0.571112,"Robust04InstructionRetrieval":-0.033539,"TERRa":0.508628,"indonli":0.523373,"SpartQA":0.00114,"SentimentAnalysisHindi":0.449399,"ItaCaseholdClassification":0.78009,"OdiaNewsClassification":0.757205,"FinancialPhrasebankClassification":0.648233,"ArXivHierarchicalClusteringP2P":0.584693,"CLSClusteringP2P.v2":0.359314,"CTKFactsNLI":0.700568,"JSICK":0.578371,"FloresBitextMining":0.0342728378006375,"MacedonianTweetSentimentClassification":0.386918,"TweetTopicSingleClassification":0.645718,"SIB200ClusteringS2S":0.0561509695431472,"HALClusteringS2S.v2":0.128164,"BulgarianStoreReviewSentimentClassfication":0.346703,"CzechProductReviewSentimentClassification":0.411621,"PawsXPairClassification":0.5952839285714286,"FilipinoShopeeReviewsClassification":0.265332,"SemRel24STS":0.43599191666666665,"ArXivHierarchicalClusteringS2S":0.517698,"AILAStatutes":0.20961,"MultiHateClassification":0.5720545454545455,"MasakhaNEWSClusteringS2S":0.3133388125,"DalajClassification":0.498874,"T2Reranking":0.6594497939568581,"WebLINXCandidatesReranking":0.084928,"KorSarcasmClassification":0.526953,"NusaX-senti":0.5764375,"StackExchangeClustering.v2":0.460414,"Tatoeba":0.2857465430984378,"PolEmo2.0-OUT":0.326721,"RomaniBibleClustering":0.383928,"PoemSentimentClassification":0.443521,"IndicGenBenchFloresBitextMining":0.3097232844827586},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":157,"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":{"Classification":0.47656720070096487,"Clustering":0.3214955989677756,"PairClassification":0.7127115315484289,"Reranking":0.38307807638888886,"Retrieval":0.25637596571232907,"InstructionReranking":-0.014697666666666664,"BitextMining":0.19160900441825862,"MultilabelClassification":0.1351648608695652},"scoresByTask":{"ScalaClassification":0.50062225,"IndonesianIdClickbaitClassification":0.541901,"SICK-R":0.7468461406509038,"SCIDOCS":0.09390000000000001,"PunjabiNewsClassification":0.60828,"AlloProfClusteringS2S.v2":0.203481,"SlovakMovieReviewSentimentClassification":0.53418,"WikipediaRerankingMultilingual":0.6786831249999999,"NTREXBitextMining":0.08936336899791232,"NusaParagraphEmotionClassification":0.3034814,"MassiveIntentClassification":0.34505809803921567,"STS13":0.7424315395719762,"CyrillicTurkicLangClassification":0.619824,"CSFDSKMovieReviewSentimentClassification":0.215771,"XNLI":0.5734261785714285,"CEDRClassification":0.33762,"WinoGrande":0.28994,"IN22GenBitextMining":0.033666586956521735,"NusaTranslationBitextMining":0.5250492727272728,"TwitterURLCorpus":0.8333289584854239,"PpcPC":0.722335,"TwitterHjerneRetrieval":0.06968,"MalteseNewsClassification":0.143143,"STS12":0.5434570729554049,"LEMBPasskeyRetrieval":0.2725,"BUCC.v2":0.04703325,"SwahiliNewsClassification":0.457861,"BiorxivClusteringP2P.v2":0.331241,"STS14":0.6999484176761607,"BornholmBitextMining":0.35002,"FaroeseSTS":0.649114,"WikiCitiesClustering":0.612461,"NusaXBitextMining":0.1397311818181818,"STSBenchmark":0.7672196352753278,"StackOverflowQA":0.43349,"MultiEURLEXMultilabelClassification":0.02349130434782609,"NorwegianCourtsBitextMining":0.89693,"PlscClusteringP2P.v2":0.615336,"ToxicConversationsClassification":0.644091796875,"BrazilianToxicTweetsClassification":0.146533,"IndicLangClassification":0.474778,"News21InstructionRetrieval":0.023955,"GujaratiNewsClassification":0.400303,"SiswatiNewsClassification":0.74375,"NollySentiBitextMining":0.2568125,"STS15":0.7573762657362906,"TempReasonL1":0.0064,"MedrxivClusteringP2P.v2":0.313147,"TRECCOVID":0.30272,"NepaliNewsClassification":0.447656,"ArmenianParaphrasePC":0.873527,"AmazonCounterfactualClassification":0.6837148749999999,"KorHateSpeechMLClassification":0.025037,"BelebeleRetrieval":0.13230303191489362,"AlloprofReranking":0.395073,"NordicLangClassification":0.575133,"StatcanDialogueDatasetRetrieval":0.045745,"RuBQReranking":0.23871,"STSES":0.641691,"WikiClusteringP2P.v2":0.20898507142857142,"FinParaSTS":0.06589300000000001,"OpusparcusPC":0.8732337499999999,"CataloniaTweetClassification":0.438121,"GermanSTSBenchmark":0.6374029999999999,"SwissJudgementClassification":0.5705153333333334,"MLQARetrieval":0.09097948979591837,"SwednClusteringP2P":0.126201,"DBpediaClassification":0.907129,"HagridRetrieval":0.96171,"TswanaNewsClassification":0.258111,"WikipediaRetrievalMultilingual":0.35870375,"ArguAna":0.348,"MIRACLRetrievalHardNegatives":0.08630611111111111,"IsiZuluNewsClassification":0.248271,"DiaBlaBitextMining":0.047945,"LegalBenchCorporateLobbying":0.74779,"EstonianValenceClassification":0.29022,"SinhalaNewsClassification":0.357373,"SprintDuplicateQuestions":0.8943047814044381,"CovidRetrieval":0.06206,"IndicCrosslingualSTS":-0.010356749999999998,"Core17InstructionRetrieval":-0.005483,"RTE3":0.8556827499999999,"BibleNLPBitextMining":0.006872602053140097,"AfriSentiClassification":0.37814125000000004,"PAC":0.571822,"VoyageMMarcoReranking":0.28594,"GreekLegalCodeClassification":0.050586,"KurdishSentimentClassification":0.575189,"Robust04InstructionRetrieval":-0.062565,"TERRa":0.473662,"indonli":0.486954,"SpartQA":0.13681,"SentimentAnalysisHindi":0.357796,"ItaCaseholdClassification":0.566516,"OdiaNewsClassification":0.607688,"MasakhaNEWSClassification":0.5509656875,"FinancialPhrasebankClassification":0.730124,"ArXivHierarchicalClusteringP2P":0.52231,"CLSClusteringP2P.v2":0.129983,"CTKFactsNLI":0.732077,"JSICK":0.628498,"STSB":0.3717725,"FloresBitextMining":0.05051947807398822,"MacedonianTweetSentimentClassification":0.364355,"TweetTopicSingleClassification":0.582575,"SIB200ClusteringS2S":0.04101413705583756,"HALClusteringS2S.v2":0.098973,"BulgarianStoreReviewSentimentClassfication":0.327473,"CzechProductReviewSentimentClassification":0.435986,"PawsXPairClassification":0.5212954285714285,"FilipinoShopeeReviewsClassification":0.28889200000000004,"SemRel24STS":0.36452850000000003,"BigPatentClustering.v2":0.306451,"ArXivHierarchicalClusteringS2S":0.499912,"AILAStatutes":0.17573,"MultiHateClassification":0.5467272727272727,"MasakhaNEWSClusteringS2S":0.342702375,"DalajClassification":0.502252,"T2Reranking":0.609939,"WebLINXCandidatesReranking":0.09012333333333333,"KorSarcasmClassification":0.531787,"NusaX-senti":0.5385416666666667,"StackExchangeClustering.v2":0.44258,"Tatoeba":0.0337544375,"PolEmo2.0-OUT":0.306478,"RomaniBibleClustering":0.349152,"STS22.v2":0.3637015,"PoemSentimentClassification":0.512349,"IndicGenBenchFloresBitextMining":0.013219379310344826},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":158,"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":{"Classification":0.45211535282510473,"Clustering":0.35341697008929873,"PairClassification":0.7104008532790419,"Reranking":0.39685528124999997,"Retrieval":0.35229848510464074,"InstructionReranking":-0.023616333333333336,"BitextMining":0.2012335120662677,"MultilabelClassification":0.13350231304347826},"scoresByTask":{"ScalaClassification":0.500293,"IndonesianIdClickbaitClassification":0.534322,"SICK-R":0.6925663754345259,"SCIDOCS":0.18355,"PunjabiNewsClassification":0.570064,"AlloProfClusteringS2S.v2":0.248921,"SlovakMovieReviewSentimentClassification":0.545117,"WikipediaRerankingMultilingual":0.6731341875,"NTREXBitextMining":0.13159407724425887,"NusaParagraphEmotionClassification":0.2626102,"MassiveIntentClassification":0.2480184411764706,"STS13":0.7786961921643416,"CyrillicTurkicLangClassification":0.458447,"CSFDSKMovieReviewSentimentClassification":0.20957,"XNLI":0.56249775,"CEDRClassification":0.310893,"WinoGrande":0.34811,"IN22GenBitextMining":0.023477575098814228,"NusaTranslationBitextMining":0.5692601818181818,"TwitterURLCorpus":0.8470041593996576,"PpcPC":0.700869,"TwitterHjerneRetrieval":0.06904,"MalteseNewsClassification":0.10653,"STS12":0.6589916377105551,"LEMBPasskeyRetrieval":0.245,"BUCC.v2":0.07929975,"SwahiliNewsClassification":0.400928,"BiorxivClusteringP2P.v2":0.352493,"STS14":0.7281574657995401,"BornholmBitextMining":0.264879,"FaroeseSTS":0.632802,"WikiCitiesClustering":0.8146426354153643,"NusaXBitextMining":0.23229945454545453,"STSBenchmark":0.7918395553127086,"StackOverflowQA":0.82763,"MultiEURLEXMultilabelClassification":0.020809565217391305,"NorwegianCourtsBitextMining":0.857018,"PlscClusteringP2P.v2":0.588729,"ToxicConversationsClassification":0.6430500000000001,"BrazilianToxicTweetsClassification":0.20542,"IndicLangClassification":0.402456,"News21InstructionRetrieval":-0.003875,"GujaratiNewsClassification":0.466692,"SiswatiNewsClassification":0.4825,"NollySentiBitextMining":0.25604175,"STS15":0.834885552472602,"TempReasonL1":0.01126,"MedrxivClusteringP2P.v2":0.335661,"TRECCOVID":0.79431,"NepaliNewsClassification":0.455566,"ArmenianParaphrasePC":0.874217,"AmazonCounterfactualClassification":0.590450625,"KorHateSpeechMLClassification":0.023859,"BelebeleRetrieval":0.23103061170212766,"AlloprofReranking":0.590491,"NordicLangClassification":0.495167,"StatcanDialogueDatasetRetrieval":0.175785,"RuBQReranking":0.252433,"STSES":0.655992,"WikiClusteringP2P.v2":0.22380335714285712,"FinParaSTS":0.14986349999999998,"OpusparcusPC":0.8501916666666666,"CataloniaTweetClassification":0.44191199999999997,"GermanSTSBenchmark":0.564912,"SwissJudgementClassification":0.525318,"MLQARetrieval":0.16823489795918367,"SwednClusteringP2P":0.15488600000000002,"DBpediaClassification":0.864014,"HagridRetrieval":0.98915,"TswanaNewsClassification":0.25154,"WikipediaRetrievalMultilingual":0.44084,"ArguAna":0.52081,"MIRACLRetrievalHardNegatives":0.14019222222222222,"IsiZuluNewsClassification":0.24016,"DiaBlaBitextMining":0.070917,"LegalBenchCorporateLobbying":0.92724,"EstonianValenceClassification":0.283619,"SinhalaNewsClassification":0.398682,"SprintDuplicateQuestions":0.949637560003136,"CovidRetrieval":0.00542,"IndicCrosslingualSTS":0.09644141666666667,"Core17InstructionRetrieval":-0.005709,"RTE3":0.85363575,"BibleNLPBitextMining":0.008637731280193238,"AfriSentiClassification":0.3858709166666667,"PAC":0.614335,"VoyageMMarcoReranking":0.216964,"GreekLegalCodeClassification":0.020703,"KurdishSentimentClassification":0.599547,"Robust04InstructionRetrieval":-0.061265,"TERRa":0.467524,"indonli":0.482116,"SpartQA":0.03013,"SentimentAnalysisHindi":0.378801,"ItaCaseholdClassification":0.614027,"OdiaNewsClassification":0.559012,"MasakhaNEWSClassification":0.580588625,"FinancialPhrasebankClassification":0.677871,"ArXivHierarchicalClusteringP2P":0.549722,"CLSClusteringP2P.v2":0.115817,"CTKFactsNLI":0.7050460000000001,"JSICK":0.57476,"STSB":0.2895485,"FloresBitextMining":0.07918120861103062,"MacedonianTweetSentimentClassification":0.292976,"TweetTopicSingleClassification":0.645954,"SIB200ClusteringS2S":0.054970091370558374,"HALClusteringS2S.v2":0.155736,"BulgarianStoreReviewSentimentClassfication":0.297802,"CzechProductReviewSentimentClassification":0.435059,"PawsXPairClassification":0.5216705,"FilipinoShopeeReviewsClassification":0.2674805,"SemRel24STS":0.35353691666666665,"BigPatentClustering.v2":0.269096,"ArXivHierarchicalClusteringS2S":0.516956,"AILAStatutes":0.23364,"MultiHateClassification":0.5389363636363637,"MasakhaNEWSClusteringS2S":0.3699814375,"DalajClassification":0.50045,"T2Reranking":0.572764,"WebLINXCandidatesReranking":0.0753455,"KorSarcasmClassification":0.530615,"NusaX-senti":0.5445,"StackExchangeClustering.v2":0.534311,"Tatoeba":0.029695169642857143,"PolEmo2.0-OUT":0.208907,"RomaniBibleClustering":0.368946,"STS22.v2":0.38143422222222223,"PoemSentimentClassification":0.47702849999999997,"IndicGenBenchFloresBitextMining":0.013734758620689656},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":159,"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":{"PairClassification":0.7329982774969213,"InstructionReranking":-0.013212333333333335,"BitextMining":0.18599961556619077},"scoresByTask":{"ScalaClassification":0.5062012499999999,"IndonesianIdClickbaitClassification":0.570746,"SICK-R":0.814067321748142,"SCIDOCS":0.18944,"PunjabiNewsClassification":0.747134,"AlloProfClusteringS2S.v2":0.220349,"SlovakMovieReviewSentimentClassification":0.536182,"WikipediaRerankingMultilingual":0.573075125,"NTREXBitextMining":0.07139855949895617,"NusaParagraphEmotionClassification":0.3957786,"MassiveIntentClassification":0.46634870588235294,"STS13":0.8637854318479079,"CyrillicTurkicLangClassification":0.773193,"CSFDSKMovieReviewSentimentClassification":0.215918,"XNLI":0.5851034285714285,"CEDRClassification":0.301169,"WinoGrande":0.00373,"IN22GenBitextMining":0.0952450652173913,"NusaTranslationBitextMining":0.336913,"TwitterURLCorpus":0.867769866448429,"PpcPC":0.685667,"TwitterHjerneRetrieval":0.03119,"MalteseNewsClassification":0.121027,"STS12":0.7747310329678291,"BUCC.v2":0.07237175,"SwahiliNewsClassification":0.636035,"BiorxivClusteringP2P.v2":0.380365,"STS14":0.8117166984686445,"BornholmBitextMining":0.178637,"FaroeseSTS":0.370798,"NusaXBitextMining":0.16392018181818183,"STSBenchmark":0.8802311088852668,"NorwegianCourtsBitextMining":0.764557,"PlscClusteringP2P.v2":0.641811,"ToxicConversationsClassification":0.715842,"BrazilianToxicTweetsClassification":0.202344,"IndicLangClassification":0.914077,"News21InstructionRetrieval":-0.004785,"GujaratiNewsClassification":0.740592,"SiswatiNewsClassification":0.7375,"NollySentiBitextMining":0.1424825,"STS15":0.8823398394823562,"TempReasonL1":0.00023,"MedrxivClusteringP2P.v2":0.346608,"TRECCOVID":0.8381799999999999,"NepaliNewsClassification":0.891309,"ArmenianParaphrasePC":0.894895,"AmazonCounterfactualClassification":0.6914432500000001,"KorHateSpeechMLClassification":0.047128,"BelebeleRetrieval":0.10870156914893617,"NordicLangClassification":0.614933,"RuBQReranking":0.273162,"STSES":0.630798,"FinParaSTS":0.015883,"OpusparcusPC":0.8751038333333333,"CataloniaTweetClassification":0.48416575,"GermanSTSBenchmark":0.4353245,"SwissJudgementClassification":0.5302013333333333,"MLQARetrieval":0.14671714285714285,"SwednClusteringP2P":0.0508005,"DBpediaClassification":0.919189,"HagridRetrieval":0.83507,"TswanaNewsClassification":0.271663,"WikipediaRetrievalMultilingual":0.21853125,"ArguAna":0.52207,"IsiZuluNewsClassification":0.243484,"DiaBlaBitextMining":0.106131,"LegalBenchCorporateLobbying":0.71981,"EstonianValenceClassification":0.290709,"SinhalaNewsClassification":0.442139,"SprintDuplicateQuestions":0.9561939598272275,"CovidRetrieval":0.68855,"IndicCrosslingualSTS":-0.0357945,"Core17InstructionRetrieval":-0.01641,"RTE3":0.86880125,"BibleNLPBitextMining":0.015867164855072464,"AfriSentiClassification":0.38311091666666663,"PAC":0.662902,"VoyageMMarcoReranking":0.271201,"KurdishSentimentClassification":0.559688,"Robust04InstructionRetrieval":-0.018442,"TERRa":0.50211,"indonli":0.519196,"SpartQA":0.00032,"SentimentAnalysisHindi":0.485071,"ItaCaseholdClassification":0.88552,"OdiaNewsClassification":0.721054,"FinancialPhrasebankClassification":0.683878,"ArXivHierarchicalClusteringP2P":0.589684,"CLSClusteringP2P.v2":0.317,"CTKFactsNLI":0.7068465,"JSICK":0.594606,"FloresBitextMining":0.03707199007534048,"MacedonianTweetSentimentClassification":0.374627,"TweetTopicSingleClassification":0.629947,"SIB200ClusteringS2S":0.04521445685279187,"HALClusteringS2S.v2":0.137058,"BulgarianStoreReviewSentimentClassfication":0.346703,"CzechProductReviewSentimentClassification":0.415527,"PawsXPairClassification":0.6012942142857144,"FilipinoShopeeReviewsClassification":0.275513,"SemRel24STS":0.44425441666666665,"ArXivHierarchicalClusteringS2S":0.520937,"AILAStatutes":0.23878,"MultiHateClassification":0.581509090909091,"MasakhaNEWSClusteringS2S":0.309814375,"DalajClassification":0.500901,"T2Reranking":0.6787990805824984,"KorSarcasmClassification":0.537207,"NusaX-senti":0.5938541666666667,"StackExchangeClustering.v2":0.45628,"Tatoeba":0.3519633598610548,"PolEmo2.0-OUT":0.332591,"RomaniBibleClustering":0.387377,"PoemSentimentClassification":0.44009149999999997,"IndicGenBenchFloresBitextMining":0.08143643103448275},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":160,"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":{"PairClassification":0.7289780210451275,"Reranking":0.3572073133726213,"InstructionReranking":-0.007465333333333334,"BitextMining":0.137869384945684},"scoresByTask":{"ScalaClassification":0.50375975,"IndonesianIdClickbaitClassification":0.588872,"SICK-R":0.8084882728439893,"SCIDOCS":0.18502,"PunjabiNewsClassification":0.767516,"AlloProfClusteringS2S.v2":0.196742,"SlovakMovieReviewSentimentClassification":0.538037,"WikipediaRerankingMultilingual":0.5700844375,"NTREXBitextMining":0.037701489561586636,"NusaParagraphEmotionClassification":0.385132,"MassiveIntentClassification":0.4369756862745098,"STS13":0.8549051395372348,"CyrillicTurkicLangClassification":0.759668,"CSFDSKMovieReviewSentimentClassification":0.209619,"XNLI":0.5807207142857143,"CEDRClassification":0.339532,"WinoGrande":0.00089,"IN22GenBitextMining":0.08298915217391305,"NusaTranslationBitextMining":0.2290128181818182,"TwitterURLCorpus":0.861777422918812,"PpcPC":0.669422,"TwitterHjerneRetrieval":0.12904,"MalteseNewsClassification":0.173182,"STS12":0.7610288448289814,"BUCC.v2":0.035669,"SwahiliNewsClassification":0.626758,"BiorxivClusteringP2P.v2":0.371483,"STS14":0.8043502071880916,"BornholmBitextMining":0.1075,"FaroeseSTS":0.389574,"NusaXBitextMining":0.019533454545454545,"STSBenchmark":0.8770682082313391,"NorwegianCourtsBitextMining":0.733333,"PlscClusteringP2P.v2":0.629503,"ToxicConversationsClassification":0.721314,"BrazilianToxicTweetsClassification":0.18877,"IndicLangClassification":0.911694,"News21InstructionRetrieval":0.005454,"GujaratiNewsClassification":0.747496,"SiswatiNewsClassification":0.73,"NollySentiBitextMining":0.098953,"STS15":0.877540379885978,"TempReasonL1":0.00113,"MedrxivClusteringP2P.v2":0.350397,"TRECCOVID":0.8321,"NepaliNewsClassification":0.929053,"ArmenianParaphrasePC":0.903328,"AmazonCounterfactualClassification":0.692483125,"KorHateSpeechMLClassification":0.054099,"BelebeleRetrieval":0.06653757978723404,"AlloprofReranking":0.360928,"NordicLangClassification":0.598167,"RuBQReranking":0.241457,"STSES":0.520415,"FinParaSTS":0.029091500000000003,"OpusparcusPC":0.8686660833333333,"CataloniaTweetClassification":0.48875925,"GermanSTSBenchmark":0.435714,"SwissJudgementClassification":0.5355673333333333,"MLQARetrieval":0.10218520408163265,"SwednClusteringP2P":0.086752,"DBpediaClassification":0.91416,"HagridRetrieval":0.64379,"TswanaNewsClassification":0.258932,"WikipediaRetrievalMultilingual":0.190088125,"ArguAna":0.4833,"IsiZuluNewsClassification":0.234707,"DiaBlaBitextMining":0.062435,"LegalBenchCorporateLobbying":0.61921,"EstonianValenceClassification":0.287775,"SinhalaNewsClassification":0.451367,"SprintDuplicateQuestions":0.9548335466728275,"CovidRetrieval":0.67569,"IndicCrosslingualSTS":-0.041431166666666665,"Core17InstructionRetrieval":0.00862,"RTE3":0.86720825,"BibleNLPBitextMining":0.0045160489130434784,"AfriSentiClassification":0.3703675833333333,"PAC":0.669447,"VoyageMMarcoReranking":0.24459,"KurdishSentimentClassification":0.552491,"Robust04InstructionRetrieval":-0.03647,"TERRa":0.507984,"indonli":0.51514,"SpartQA":0.00202,"SentimentAnalysisHindi":0.455734,"ItaCaseholdClassification":0.793213,"OdiaNewsClassification":0.734866,"FinancialPhrasebankClassification":0.660601,"ArXivHierarchicalClusteringP2P":0.579727,"CLSClusteringP2P.v2":0.31276,"CTKFactsNLI":0.6894905,"JSICK":0.56371,"FloresBitextMining":0.018014423162368395,"MacedonianTweetSentimentClassification":0.389289,"TweetTopicSingleClassification":0.646308,"SIB200ClusteringS2S":0.044117035532994925,"HALClusteringS2S.v2":0.11019,"BulgarianStoreReviewSentimentClassfication":0.346154,"CzechProductReviewSentimentClassification":0.418018,"PawsXPairClassification":0.6001877142857143,"FilipinoShopeeReviewsClassification":0.263452,"SemRel24STS":0.39279591666666663,"ArXivHierarchicalClusteringS2S":0.518769,"AILAStatutes":0.21505,"MultiHateClassification":0.5699727272727273,"MasakhaNEWSClusteringS2S":0.28950625,"DalajClassification":0.504617,"T2Reranking":0.6649332760690612,"WebLINXCandidatesReranking":0.06125116666666667,"KorSarcasmClassification":0.536816,"NusaX-senti":0.5675625,"StackExchangeClustering.v2":0.456579,"Tatoeba":0.32478193672122446,"PolEmo2.0-OUT":0.326316,"RomaniBibleClustering":0.375079,"PoemSentimentClassification":0.4229945,"IndicGenBenchFloresBitextMining":0.03786268103448275},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":161,"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":{"ScalaClassification":0.50190425,"SICK-R":0.839003,"SCIDOCS":0.28317,"PunjabiNewsClassification":0.803822,"SlovakMovieReviewSentimentClassification":0.756494,"WikipediaRerankingMultilingual":0.894668625,"NTREXBitextMining":0.834830503131524,"NusaParagraphEmotionClassification":0.5108646,"STS13":0.867165,"CyrillicTurkicLangClassification":0.819434,"CSFDSKMovieReviewSentimentClassification":0.377002,"CEDRClassification":0.425292,"WinoGrande":0.42044,"IN22GenBitextMining":0.788955013833992,"TwitterURLCorpus":0.863116,"PpcPC":0.893491,"MalteseNewsClassification":0.310579,"STS12":0.813218,"BUCC.v2":0.98908025,"BiorxivClusteringP2P.v2":0.415612,"STS14":0.822674,"BornholmBitextMining":0.591697,"WikiCitiesClustering":0.880099,"STSBenchmark":0.880437,"StackOverflowQA":0.95635,"MultiEURLEXMultilabelClassification":0.05429391304347826,"NorwegianCourtsBitextMining":0.940058,"PlscClusteringP2P.v2":0.716987,"ToxicConversationsClassification":0.685596,"BrazilianToxicTweetsClassification":0.209473,"IndicLangClassification":0.717273,"News21InstructionRetrieval":0.055092,"GujaratiNewsClassification":0.84742,"STS17":0.8534215454545454,"STS15":0.890549,"TempReasonL1":0.01248,"MedrxivClusteringP2P.v2":0.360522,"TRECCOVID":0.90513,"ArmenianParaphrasePC":0.954403,"KorHateSpeechMLClassification":0.107855,"BelebeleRetrieval":0.8908861702127661,"AlloprofReranking":0.832873,"NordicLangClassification":0.651967,"RuBQReranking":0.763254,"WikiClusteringP2P.v2":0.2796518571428571,"DBpediaClassification":0.905273,"TswanaNewsClassification":0.38809,"WikipediaRetrievalMultilingual":0.911414375,"ArguAna":0.73971,"DiaBlaBitextMining":0.824683,"LegalBenchCorporateLobbying":0.95332,"EstonianValenceClassification":0.404279,"SprintDuplicateQuestions":0.970356,"IndicCrosslingualSTS":0.5485978333333333,"Core17InstructionRetrieval":0.11337,"RTE3":0.870285,"VoyageMMarcoReranking":0.7038,"KurdishSentimentClassification":0.749623,"Robust04InstructionRetrieval":0.053586,"SpartQA":0.03992,"ItaCaseholdClassification":0.724434,"OdiaNewsClassification":0.837214,"MasakhaNEWSClassification":0.7972046875,"ArXivHierarchicalClusteringP2P":0.569891,"CLSClusteringP2P.v2":0.412214,"MacedonianTweetSentimentClassification":0.608692,"SIB200ClusteringS2S":0.3227131979695432,"HALClusteringS2S.v2":0.291805,"BulgarianStoreReviewSentimentClassfication":0.648352,"CzechProductReviewSentimentClassification":0.565723,"SemRel24STS":0.63768775,"BigPatentClustering.v2":0.317974,"ArXivHierarchicalClusteringS2S":0.608889,"AILAStatutes":0.9003,"MultiHateClassification":0.6544545454545454,"NusaX-senti":0.6842916666666667,"StackExchangeClustering.v2":0.607121,"Tatoeba":0.7132857321428572,"PolEmo2.0-OUT":0.377935,"RomaniBibleClustering":0.427786,"STS22.v2":0.7279529444444445},"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":0.3941765822762424,"meanTaskType":0.33191124859349586,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5508326704545454,"Classification":0.45335417249668364,"Clustering":0.344770729990029,"PairClassification":0.7139093061946213,"Reranking":0.35222834375,"Retrieval":0.26161306732060435,"InstructionReranking":-0.01804333333333333,"BitextMining":0.19366117612048658,"MultilabelClassification":0.1348751043478261},"scoresByTask":{"ScalaClassification":0.5009399999999999,"IndonesianIdClickbaitClassification":0.547097,"SICK-R":0.769542,"SCIDOCS":0.11194,"PunjabiNewsClassification":0.556688,"AlloProfClusteringS2S.v2":0.238034,"SlovakMovieReviewSentimentClassification":0.531006,"WikipediaRerankingMultilingual":0.6088885625,"NTREXBitextMining":0.09188007098121086,"NusaParagraphEmotionClassification":0.2622417,"MassiveIntentClassification":0.25366276470588234,"STS13":0.816578,"CyrillicTurkicLangClassification":0.61709,"CSFDSKMovieReviewSentimentClassification":0.207275,"XNLI":0.5761166785714286,"CEDRClassification":0.347131,"WinoGrande":0.44665,"IN22GenBitextMining":0.02903874901185771,"NusaTranslationBitextMining":0.5298775454545455,"TwitterURLCorpus":0.8407115766409341,"PpcPC":0.717063,"TwitterHjerneRetrieval":0.12194,"MalteseNewsClassification":0.130475,"STS12":0.748905,"LEMBPasskeyRetrieval":0.2525,"BUCC.v2":0.07843,"SwahiliNewsClassification":0.458887,"BiorxivClusteringP2P.v2":0.331825,"STS14":0.76658,"BornholmBitextMining":0.320684,"FaroeseSTS":0.62116,"WikiCitiesClustering":0.631657,"NusaXBitextMining":0.1562840909090909,"STSBenchmark":0.801173,"StackOverflowQA":0.37575,"MultiEURLEXMultilabelClassification":0.022136521739130437,"NorwegianCourtsBitextMining":0.891813,"PlscClusteringP2P.v2":0.623782,"ToxicConversationsClassification":0.661018,"BrazilianToxicTweetsClassification":0.142822,"IndicLangClassification":0.372963,"News21InstructionRetrieval":0.024016,"GujaratiNewsClassification":0.411229,"SiswatiNewsClassification":0.43,"STS17":0.28361372727272727,"NollySentiBitextMining":0.25124775,"STS15":0.849759,"TempReasonL1":0.01351,"MedrxivClusteringP2P.v2":0.31795,"TRECCOVID":0.41904,"NepaliNewsClassification":0.411719,"ArmenianParaphrasePC":0.872017,"AmazonCounterfactualClassification":0.67162875,"KorHateSpeechMLClassification":0.031811,"BelebeleRetrieval":0.12180029255319148,"AlloprofReranking":0.417542,"NordicLangClassification":0.538067,"StatcanDialogueDatasetRetrieval":0.010947499999999999,"RuBQReranking":0.218218,"STSES":0.726503,"WikiClusteringP2P.v2":0.20362092857142858,"FinParaSTS":0.0601665,"OpusparcusPC":0.8724438333333334,"CataloniaTweetClassification":0.44784175,"GermanSTSBenchmark":0.6608335000000001,"SwissJudgementClassification":0.518601,"MLQARetrieval":0.0823538775510204,"SwednClusteringP2P":0.11096500000000001,"DBpediaClassification":0.818945,"HagridRetrieval":0.97733,"TswanaNewsClassification":0.265708,"WikipediaRetrievalMultilingual":0.335566875,"ArguAna":0.37981,"MIRACLRetrievalHardNegatives":0.07912666666666666,"IsiZuluNewsClassification":0.229122,"DiaBlaBitextMining":0.057038,"LegalBenchCorporateLobbying":0.71209,"EstonianValenceClassification":0.290098,"SinhalaNewsClassification":0.343652,"SprintDuplicateQuestions":0.9435547438808531,"CovidRetrieval":0.00032,"IndicCrosslingualSTS":0.030433916666666668,"Core17InstructionRetrieval":-0.017775,"RTE3":0.85995175,"BibleNLPBitextMining":0.007203739734299517,"AfriSentiClassification":0.37437575,"PAC":0.544802,"VoyageMMarcoReranking":0.2469,"GreekLegalCodeClassification":0.0138425,"KurdishSentimentClassification":0.567187,"Robust04InstructionRetrieval":-0.060371,"TERRa":0.458472,"indonli":0.478871,"SpartQA":0.10071,"SentimentAnalysisHindi":0.363607,"ItaCaseholdClassification":0.458824,"OdiaNewsClassification":0.603342,"MasakhaNEWSClassification":0.4981646875,"FinancialPhrasebankClassification":0.710292,"ArXivHierarchicalClusteringP2P":0.544466,"CLSClusteringP2P.v2":0.112571,"CTKFactsNLI":0.710334,"JSICK":0.601827,"STSB":0.3791845,"FloresBitextMining":0.046647892736404906,"MacedonianTweetSentimentClassification":0.339772,"TweetTopicSingleClassification":0.673361,"SIB200ClusteringS2S":0.04254075126903553,"HALClusteringS2S.v2":0.160619,"BulgarianStoreReviewSentimentClassfication":0.314286,"CzechProductReviewSentimentClassification":0.448584,"PawsXPairClassification":0.5234667857142857,"FilipinoShopeeReviewsClassification":0.3053225,"SemRel24STS":0.3931609166666667,"BigPatentClustering.v2":0.408148,"ArXivHierarchicalClusteringS2S":0.522401,"AILAStatutes":0.16765,"MultiHateClassification":0.5455181818181818,"MasakhaNEWSClusteringS2S":0.362821,"DalajClassification":0.498761,"T2Reranking":0.525105,"WebLINXCandidatesReranking":0.0967165,"KorSarcasmClassification":0.523877,"NusaX-senti":0.5591458333333333,"StackExchangeClustering.v2":0.537685,"Tatoeba":0.03910807142857143,"PolEmo2.0-OUT":0.284211,"RomaniBibleClustering":0.367246,"STS22.v2":0.30390266666666665,"PoemSentimentClassification":0.521474,"IndicGenBenchFloresBitextMining":0.01834237931034483},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":163,"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":0.3242199456701573,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.5325718698884288,"Classification":0.44156396197197695,"Clustering":0.33229793698728693,"PairClassification":0.7166592694805195,"Reranking":0.31650687152777773,"Retrieval":0.21798070300815361,"InstructionReranking":-0.025088,"BitextMining":0.2287864112107504,"MultilabelClassification":0.15670048695652175},"scoresByTask":{"ScalaClassification":0.50075675,"IndonesianIdClickbaitClassification":0.554132,"SICK-R":0.74191,"SCIDOCS":0.06332,"PunjabiNewsClassification":0.602548,"AlloProfClusteringS2S.v2":0.23775,"SlovakMovieReviewSentimentClassification":0.545312,"WikipediaRerankingMultilingual":0.5818600625,"NTREXBitextMining":0.15787146033402924,"NusaParagraphEmotionClassification":0.29111739999999997,"MassiveIntentClassification":0.24696707843137256,"STS13":0.850315,"CyrillicTurkicLangClassification":0.152832,"CSFDSKMovieReviewSentimentClassification":0.217578,"XNLI":0.5816912500000001,"CEDRClassification":0.363603,"WinoGrande":0.2653,"IN22GenBitextMining":0.07399661660079052,"NusaTranslationBitextMining":0.5521497272727273,"TwitterURLCorpus":0.815084,"PpcPC":0.803671,"TwitterHjerneRetrieval":0.0407,"MalteseNewsClassification":0.179234,"STS12":0.72034,"LEMBPasskeyRetrieval":0.1425,"BUCC.v2":0.3334955,"SwahiliNewsClassification":0.420117,"BiorxivClusteringP2P.v2":0.297661,"STS14":0.812143,"BornholmBitextMining":0.211702,"FaroeseSTS":0.607511,"WikiCitiesClustering":0.650034,"NusaXBitextMining":0.12838227272727273,"STSBenchmark":0.82564,"StackOverflowQA":0.354,"MultiEURLEXMultilabelClassification":0.018070434782608696,"NorwegianCourtsBitextMining":0.86769,"PlscClusteringP2P.v2":0.649322,"ToxicConversationsClassification":0.58291,"BrazilianToxicTweetsClassification":0.188623,"IndicLangClassification":0.141489,"News21InstructionRetrieval":0.034669,"GujaratiNewsClassification":0.407436,"SiswatiNewsClassification":0.715,"STS17":0.3559545454545454,"NollySentiBitextMining":0.22329975000000002,"STS15":0.863155,"TempReasonL1":0.00695,"MedrxivClusteringP2P.v2":0.297785,"TRECCOVID":0.2834,"NepaliNewsClassification":0.477246,"ArmenianParaphrasePC":0.871182,"AmazonCounterfactualClassification":0.61512925,"KorHateSpeechMLClassification":0.033972,"BelebeleRetrieval":0.1379862765957447,"AlloprofReranking":0.380967,"NordicLangClassification":0.528133,"StatcanDialogueDatasetRetrieval":0.0119275,"RuBQReranking":0.160419,"STSES":0.64734,"WikiClusteringP2P.v2":0.21187757142857144,"FinParaSTS":0.07241249999999999,"OpusparcusPC":0.8654585,"CataloniaTweetClassification":0.45647475,"GermanSTSBenchmark":0.863629678315869,"SwissJudgementClassification":0.545715,"MLQARetrieval":0.1240488775510204,"SwednClusteringP2P":0.1810005,"DBpediaClassification":0.896729,"HagridRetrieval":0.95071,"TswanaNewsClassification":0.224435,"WikipediaRetrievalMultilingual":0.295975,"ArguAna":0.28395,"MIRACLRetrievalHardNegatives":0.047015,"IsiZuluNewsClassification":0.24375,"DiaBlaBitextMining":0.131845,"LegalBenchCorporateLobbying":0.72718,"EstonianValenceClassification":0.299511,"SinhalaNewsClassification":0.362109,"SprintDuplicateQuestions":0.845699,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.042321916666666674,"Core17InstructionRetrieval":-0.013386,"RTE3":0.867529,"BibleNLPBitextMining":0.010422791666666667,"AfriSentiClassification":0.372349,"PAC":0.653461,"VoyageMMarcoReranking":0.157052,"GreekLegalCodeClassification":0.0376465,"KurdishSentimentClassification":0.57383,"Robust04InstructionRetrieval":-0.096547,"TERRa":0.482614,"indonli":0.484342,"SpartQA":0.01768,"SentimentAnalysisHindi":0.358542,"ItaCaseholdClassification":0.446154,"OdiaNewsClassification":0.463817,"MasakhaNEWSClassification":0.5044335,"FinancialPhrasebankClassification":0.764046,"ArXivHierarchicalClusteringP2P":0.516332,"CLSClusteringP2P.v2":0.074073,"CTKFactsNLI":0.7487915,"JSICK":0.352201,"STSB":0.08543049999999999,"FloresBitextMining":0.1228832212885154,"MacedonianTweetSentimentClassification":0.299122,"TweetTopicSingleClassification":0.596161,"SIB200ClusteringS2S":0.06544985786802031,"HALClusteringS2S.v2":0.132331,"BulgarianStoreReviewSentimentClassfication":0.307143,"CzechProductReviewSentimentClassification":0.428467,"PawsXPairClassification":0.5171897142857144,"FilipinoShopeeReviewsClassification":0.27063,"SemRel24STS":0.254116,"BigPatentClustering.v2":0.329115,"ArXivHierarchicalClusteringS2S":0.497461,"AILAStatutes":0.17101,"MultiHateClassification":0.5555636363636364,"MasakhaNEWSClusteringS2S":0.3431060625,"DalajClassification":0.497973,"T2Reranking":0.531085,"WebLINXCandidatesReranking":0.08765816666666666,"KorSarcasmClassification":0.533984,"NusaX-senti":0.5273125,"StackExchangeClustering.v2":0.483474,"Tatoeba":0.08174391964285714,"PolEmo2.0-OUT":0.361134,"RomaniBibleClustering":0.349995,"STS22.v2":0.4267297777777778,"PoemSentimentClassification":0.40805400000000003,"IndicGenBenchFloresBitextMining":0.07874108620689654},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":164,"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":{"Classification":0.4589108458949965,"Clustering":0.3365669433834527,"PairClassification":0.7052795119944827,"Reranking":0.39170084722222226,"Retrieval":0.248471436411444,"InstructionReranking":-0.016707000000000003,"BitextMining":0.18078121013405893,"MultilabelClassification":0.13819707826086958},"scoresByTask":{"ScalaClassification":0.5011475,"IndonesianIdClickbaitClassification":0.554256,"SICK-R":0.7733681018334156,"SCIDOCS":0.09931,"PunjabiNewsClassification":0.594904,"AlloProfClusteringS2S.v2":0.203253,"SlovakMovieReviewSentimentClassification":0.534277,"WikipediaRerankingMultilingual":0.69433625,"NTREXBitextMining":0.069800878914405,"NusaParagraphEmotionClassification":0.2716844,"MassiveIntentClassification":0.26443133333333335,"STS13":0.7841580967540903,"CyrillicTurkicLangClassification":0.615088,"CSFDSKMovieReviewSentimentClassification":0.22583,"XNLI":0.5872768214285714,"CEDRClassification":0.341552,"WinoGrande":0.24277,"IN22GenBitextMining":0.026244622529644268,"NusaTranslationBitextMining":0.5126664545454546,"TwitterURLCorpus":0.829449637573502,"PpcPC":0.716387,"TwitterHjerneRetrieval":0.02425,"MalteseNewsClassification":0.145799,"STS12":0.7015243619467687,"LEMBPasskeyRetrieval":0.2875,"BUCC.v2":0.044597500000000005,"SwahiliNewsClassification":0.434326,"BiorxivClusteringP2P.v2":0.328506,"STS14":0.7476063270848232,"BornholmBitextMining":0.335332,"FaroeseSTS":0.628006,"WikiCitiesClustering":0.642829,"NusaXBitextMining":0.10053154545454546,"STSBenchmark":0.7920891358738937,"StackOverflowQA":0.40474,"MultiEURLEXMultilabelClassification":0.023597391304347827,"NorwegianCourtsBitextMining":0.902047,"PlscClusteringP2P.v2":0.632659,"ToxicConversationsClassification":0.6447265625,"BrazilianToxicTweetsClassification":0.151416,"IndicLangClassification":0.446298,"News21InstructionRetrieval":0.028428,"GujaratiNewsClassification":0.40956,"SiswatiNewsClassification":0.4375,"NollySentiBitextMining":0.21318825,"STS15":0.8200177922226122,"TempReasonL1":0.01085,"MedrxivClusteringP2P.v2":0.314881,"TRECCOVID":0.39479,"NepaliNewsClassification":0.462793,"ArmenianParaphrasePC":0.875798,"AmazonCounterfactualClassification":0.667078875,"KorHateSpeechMLClassification":0.028621,"BelebeleRetrieval":0.12289345744680852,"AlloprofReranking":0.408909,"NordicLangClassification":0.553533,"StatcanDialogueDatasetRetrieval":0.0334175,"RuBQReranking":0.287699,"STSES":0.724584,"WikiClusteringP2P.v2":0.21469435714285715,"FinParaSTS":0.101595,"OpusparcusPC":0.87410225,"CataloniaTweetClassification":0.43667475,"GermanSTSBenchmark":0.628689,"SwissJudgementClassification":0.5371463333333334,"MLQARetrieval":0.08159489795918368,"SwednClusteringP2P":0.1625265,"DBpediaClassification":0.835449,"HagridRetrieval":0.94209,"TswanaNewsClassification":0.257495,"WikipediaRetrievalMultilingual":0.36318,"ArguAna":0.3114,"MIRACLRetrievalHardNegatives":0.0785,"IsiZuluNewsClassification":0.223537,"DiaBlaBitextMining":0.059844,"LegalBenchCorporateLobbying":0.76462,"EstonianValenceClassification":0.285697,"SinhalaNewsClassification":0.33667,"SprintDuplicateQuestions":0.8553918872229502,"CovidRetrieval":0.03908,"IndicCrosslingualSTS":-0.01186491666666667,"Core17InstructionRetrieval":0.002561,"RTE3":0.8623382500000001,"BibleNLPBitextMining":0.004021094202898551,"AfriSentiClassification":0.36997758333333336,"PAC":0.565914,"VoyageMMarcoReranking":0.291857,"GreekLegalCodeClassification":0.0335445,"KurdishSentimentClassification":0.565476,"Robust04InstructionRetrieval":-0.08111,"TERRa":0.455136,"indonli":0.478414,"SpartQA":0.05837,"SentimentAnalysisHindi":0.357603,"ItaCaseholdClassification":0.48371,"OdiaNewsClassification":0.601653,"MasakhaNEWSClassification":0.5537991875,"FinancialPhrasebankClassification":0.72659,"ArXivHierarchicalClusteringP2P":0.527656,"CLSClusteringP2P.v2":0.142683,"CTKFactsNLI":0.7165945,"JSICK":0.639125,"STSB":0.375863,"FloresBitextMining":0.03284046121897035,"MacedonianTweetSentimentClassification":0.353995,"TweetTopicSingleClassification":0.600236,"SIB200ClusteringS2S":0.03911429949238579,"HALClusteringS2S.v2":0.103957,"BulgarianStoreReviewSentimentClassfication":0.337363,"CzechProductReviewSentimentClassification":0.442139,"PawsXPairClassification":0.5071862857142857,"FilipinoShopeeReviewsClassification":0.308887,"SemRel24STS":0.3882331666666667,"BigPatentClustering.v2":0.37288,"ArXivHierarchicalClusteringS2S":0.512098,"AILAStatutes":0.21313,"MultiHateClassification":0.5411181818181818,"MasakhaNEWSClusteringS2S":0.3400149375,"DalajClassification":0.498423,"T2Reranking":0.586219,"WebLINXCandidatesReranking":0.08118483333333333,"KorSarcasmClassification":0.511523,"NusaX-senti":0.5667291666666666,"StackExchangeClustering.v2":0.485537,"Tatoeba":0.03572182142857143,"PolEmo2.0-OUT":0.268623,"RomaniBibleClustering":0.361782,"STS22.v2":0.35440477777777774,"PoemSentimentClassification":0.51576,"IndicGenBenchFloresBitextMining":0.013320103448275862},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":165,"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":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":{"Classification":0.4450236206752891,"Clustering":0.3239386638387192,"PairClassification":0.7107811531973319,"Reranking":0.3907676319444444,"Retrieval":0.28625084704330905,"InstructionReranking":0.002357,"BitextMining":0.16114595403219595,"MultilabelClassification":0.11632343478260869},"scoresByTask":{"ScalaClassification":0.4997925,"IndonesianIdClickbaitClassification":0.513217,"SICK-R":0.646753400763881,"SCIDOCS":0.12386999999999998,"PunjabiNewsClassification":0.687898,"AlloProfClusteringS2S.v2":0.192538,"SlovakMovieReviewSentimentClassification":0.530908,"WikipediaRerankingMultilingual":0.695977125,"NTREXBitextMining":0.03636413778705637,"NusaParagraphEmotionClassification":0.2668738,"MassiveIntentClassification":0.2545544117647059,"STS13":0.7727600787572996,"CyrillicTurkicLangClassification":0.549658,"CSFDSKMovieReviewSentimentClassification":0.208887,"XNLI":0.5808235357142857,"CEDRClassification":0.326408,"WinoGrande":0.37858,"IN22GenBitextMining":0.011564816205533597,"NusaTranslationBitextMining":0.4489337272727273,"TwitterURLCorpus":0.8213756947863086,"PpcPC":0.729585,"TwitterHjerneRetrieval":0.02069,"MalteseNewsClassification":0.060514,"STS12":0.6224898505553053,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.017858,"SwahiliNewsClassification":0.371533,"BiorxivClusteringP2P.v2":0.334368,"STS14":0.71914099628002,"BornholmBitextMining":0.259317,"FaroeseSTS":0.611188,"WikiCitiesClustering":0.709079,"NusaXBitextMining":0.1471320909090909,"STSBenchmark":0.7540519061413277,"StackOverflowQA":0.50954,"MultiEURLEXMultilabelClassification":0.02169217391304348,"NorwegianCourtsBitextMining":0.872076,"PlscClusteringP2P.v2":0.616215,"ToxicConversationsClassification":0.690625,"BrazilianToxicTweetsClassification":0.153955,"IndicLangClassification":0.468663,"News21InstructionRetrieval":0.020067,"GujaratiNewsClassification":0.383763,"SiswatiNewsClassification":0.4525,"NollySentiBitextMining":0.196831,"STS15":0.7975345871163103,"TempReasonL1":0.01704,"MedrxivClusteringP2P.v2":0.315201,"TRECCOVID":0.45747,"NepaliNewsClassification":0.485596,"ArmenianParaphrasePC":0.868525,"AmazonCounterfactualClassification":0.659104625,"KorHateSpeechMLClassification":0.019048,"BelebeleRetrieval":0.12135646276595743,"AlloprofReranking":0.376539,"NordicLangClassification":0.597567,"StatcanDialogueDatasetRetrieval":0.0241675,"RuBQReranking":0.328855,"STSES":0.629861,"WikiClusteringP2P.v2":0.20522685714285713,"FinParaSTS":0.024172,"OpusparcusPC":0.8698605833333334,"CataloniaTweetClassification":0.449463,"GermanSTSBenchmark":0.6320574999999999,"SwissJudgementClassification":0.509526,"MLQARetrieval":0.08250336734693878,"SwednClusteringP2P":0.0587305,"DBpediaClassification":0.819189,"HagridRetrieval":0.96955,"TswanaNewsClassification":0.237782,"WikipediaRetrievalMultilingual":0.33943625,"ArguAna":0.41966000000000003,"MIRACLRetrievalHardNegatives":0.06998166666666666,"IsiZuluNewsClassification":0.232713,"DiaBlaBitextMining":0.038211,"LegalBenchCorporateLobbying":0.84899,"EstonianValenceClassification":0.27335,"SinhalaNewsClassification":0.327295,"SprintDuplicateQuestions":0.9020131927652946,"CovidRetrieval":0.0669,"IndicCrosslingualSTS":0.008288916666666668,"Core17InstructionRetrieval":0.029523,"RTE3":0.86531325,"BibleNLPBitextMining":0.00517616002415459,"AfriSentiClassification":0.38443200000000005,"PAC":0.540168,"VoyageMMarcoReranking":0.253777,"GreekLegalCodeClassification":0.0418455,"KurdishSentimentClassification":0.559587,"Robust04InstructionRetrieval":-0.042519,"TERRa":0.512653,"indonli":0.485399,"SpartQA":0.14374,"SentimentAnalysisHindi":0.370905,"ItaCaseholdClassification":0.315837,"OdiaNewsClassification":0.549978,"MasakhaNEWSClassification":0.499876625,"FinancialPhrasebankClassification":0.646643,"ArXivHierarchicalClusteringP2P":0.550836,"CLSClusteringP2P.v2":0.138776,"CTKFactsNLI":0.713112,"JSICK":0.627079,"STSB":0.3942635,"FloresBitextMining":0.015740206365304744,"MacedonianTweetSentimentClassification":0.352151,"TweetTopicSingleClassification":0.52593,"SIB200ClusteringS2S":0.032451451776649744,"HALClusteringS2S.v2":0.045679,"BulgarianStoreReviewSentimentClassfication":0.341209,"CzechProductReviewSentimentClassification":0.434033,"PawsXPairClassification":0.4699324285714286,"FilipinoShopeeReviewsClassification":0.2649415,"SemRel24STS":0.3893865,"BigPatentClustering.v2":0.314251,"ArXivHierarchicalClusteringS2S":0.492501,"AILAStatutes":0.17404,"MultiHateClassification":0.5271727272727272,"MasakhaNEWSClusteringS2S":0.3229198125,"DalajClassification":0.501351,"T2Reranking":0.610495,"WebLINXCandidatesReranking":0.07896266666666667,"KorSarcasmClassification":0.520068,"NusaX-senti":0.5500625,"StackExchangeClustering.v2":0.503733,"Tatoeba":0.030300401785714283,"PolEmo2.0-OUT":0.289069,"RomaniBibleClustering":0.350513,"STS22.v2":0.31674050000000004,"PoemSentimentClassification":0.4502975,"IndicGenBenchFloresBitextMining":0.015392862068965518},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":166,"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":{"STS":0.47791135890151515,"Classification":0.41803311707840723,"Clustering":0.2925844215861648,"Reranking":0.3891849421576592,"Retrieval":0.21256095466594832,"InstructionReranking":-0.022767333333333334,"MultilabelClassification":0.1589245346393753},"scoresByTask":{"ScalaClassification":0.500696,"IndonesianIdClickbaitClassification":0.547529,"SICK-R":0.684327,"SCIDOCS":0.04072,"PunjabiNewsClassification":0.640127,"AlloProfClusteringS2S.v2":0.161035,"SlovakMovieReviewSentimentClassification":0.539307,"WikipediaRerankingMultilingual":0.6337894375,"NusaParagraphEmotionClassification":0.24689160000000002,"MassiveIntentClassification":0.19726670621481582,"STS13":0.603443,"CyrillicTurkicLangClassification":0.6119140625,"CSFDSKMovieReviewSentimentClassification":0.204346,"CEDRClassification":0.3895324123273113,"WinoGrande":0.27898,"IN22GenBitextMining":0.08747262648221345,"NusaTranslationBitextMining":0.5741933636363636,"TwitterURLCorpus":0.79673,"PpcPC":0.720378,"TwitterHjerneRetrieval":0.01683,"MalteseNewsClassification":0.13461,"STS12":0.661687,"LEMBPasskeyRetrieval":0.1925,"SwahiliNewsClassification":0.308789,"BiorxivClusteringP2P.v2":0.21853,"STS14":0.661225,"BornholmBitextMining":0.429556,"FaroeseSTS":0.611871,"WikiCitiesClustering":0.5666855146861068,"NusaXBitextMining":0.1590409090909091,"STSBenchmark":0.689725,"StackOverflowQA":0.3197,"MultiEURLEXMultilabelClassification":0.015298260869565218,"NorwegianCourtsBitextMining":0.884064,"PlscClusteringP2P.v2":0.632855,"ToxicConversationsClassification":0.577734375,"BrazilianToxicTweetsClassification":0.208447,"IndicLangClassification":0.106973,"News21InstructionRetrieval":0.013911,"GujaratiNewsClassification":0.416161,"SiswatiNewsClassification":0.42125,"STS17":0.2718219090909091,"NollySentiBitextMining":0.27918849999999995,"STS15":0.774073,"TempReasonL1":0.0077,"MedrxivClusteringP2P.v2":0.261544,"TRECCOVID":0.1753,"NepaliNewsClassification":0.383447,"ArmenianParaphrasePC":0.840592,"AmazonCounterfactualClassification":0.638017375,"KorHateSpeechMLClassification":0.046735,"BelebeleRetrieval":0.14675795212765957,"AlloprofReranking":0.302886,"NordicLangClassification":0.498967,"StatcanDialogueDatasetRetrieval":0.00726,"RuBQReranking":0.6215027154459556,"STSES":0.665116,"WikiClusteringP2P.v2":0.19376357142857145,"FinParaSTS":0.1048495,"OpusparcusPC":0.8871021666666666,"CataloniaTweetClassification":0.4368055,"GermanSTSBenchmark":0.61395,"SwissJudgementClassification":0.5256353333333333,"MLQARetrieval":0.09553520408163264,"SwednClusteringP2P":0.0264965,"DBpediaClassification":0.796484375,"HagridRetrieval":0.96676,"TswanaNewsClassification":0.150924,"WikipediaRetrievalMultilingual":0.29756125,"ArguAna":0.32031,"MIRACLRetrievalHardNegatives":0.06034277777777778,"IsiZuluNewsClassification":0.204388,"DiaBlaBitextMining":0.0563,"LegalBenchCorporateLobbying":0.70011,"EstonianValenceClassification":0.28313,"SinhalaNewsClassification":0.354492,"SprintDuplicateQuestions":0.919439,"CovidRetrieval":0.00035,"IndicCrosslingualSTS":0.10126616666666666,"Core17InstructionRetrieval":-0.040569,"RTE3":0.85894475,"AfriSentiClassification":0.3499575,"PAC":0.598784,"VoyageMMarcoReranking":0.160006,"GreekLegalCodeClassification":0.018823,"KurdishSentimentClassification":0.552391,"Robust04InstructionRetrieval":-0.041644,"TERRa":0.5626544747251268,"indonli":0.482545,"SpartQA":0.06314,"SentimentAnalysisHindi":0.339619,"ItaCaseholdClassification":0.181448,"OdiaNewsClassification":0.428706,"MasakhaNEWSClassification":0.4217030625,"FinancialPhrasebankClassification":0.6797703180212015,"ArXivHierarchicalClusteringP2P":0.500175,"CLSClusteringP2P.v2":0.087318,"CTKFactsNLI":0.705408,"JSICK":0.437755,"STSB":0.18036249999999998,"MacedonianTweetSentimentClassification":0.410272,"TweetTopicSingleClassification":0.5252215002953337,"SIB200ClusteringS2S":0.0494612842639594,"HALClusteringS2S.v2":0.065786,"BulgarianStoreReviewSentimentClassfication":0.441209,"CzechProductReviewSentimentClassification":0.436377,"PawsXPairClassification":0.493439,"FilipinoShopeeReviewsClassification":0.2805175,"SemRel24STS":0.25146816666666666,"BigPatentClustering.v2":0.301191,"ArXivHierarchicalClusteringS2S":0.476816,"AILAStatutes":0.13624,"MultiHateClassification":0.5318181818181817,"MasakhaNEWSClusteringS2S":0.334601875,"DalajClassification":0.499099,"T2Reranking":0.516091,"WebLINXCandidatesReranking":0.1008345,"KorSarcasmClassification":0.533545,"NusaX-senti":0.5585833333333333,"StackExchangeClustering.v2":0.415677,"PolEmo2.0-OUT":0.237449,"RomaniBibleClustering":0.389415,"STS22.v2":0.3336415,"PoemSentimentClassification":0.35885531135531135,"IndicGenBenchFloresBitextMining":0.07538419827586207},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"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":{"PairClassification":0.7151764604726698,"InstructionReranking":-0.03223533333333333,"BitextMining":0.24795878037519417},"scoresByTask":{"ScalaClassification":0.5019532499999999,"IndonesianIdClickbaitClassification":0.513633,"SICK-R":0.7633071660715955,"SCIDOCS":0.15293,"PunjabiNewsClassification":0.56242,"AlloProfClusteringS2S.v2":0.19565,"SlovakMovieReviewSentimentClassification":0.486084,"NTREXBitextMining":0.15134766075156578,"NusaParagraphEmotionClassification":0.2189566,"STS13":0.7855383586979005,"CyrillicTurkicLangClassification":0.241309,"CSFDSKMovieReviewSentimentClassification":0.195996,"XNLI":0.5631281428571429,"CEDRClassification":0.317375,"WinoGrande":0.62895,"IN22GenBitextMining":0.09237803557312252,"NusaTranslationBitextMining":0.5314853636363637,"TwitterURLCorpus":0.8343513915159009,"PpcPC":0.68569,"TwitterHjerneRetrieval":0.03467,"MalteseNewsClassification":0.068568,"STS12":0.7427699263517789,"LEMBPasskeyRetrieval":0.2925,"BUCC.v2":0.3484,"SwahiliNewsClassification":0.363379,"BiorxivClusteringP2P.v2":0.327398,"STS14":0.7384318001499558,"BornholmBitextMining":0.359062,"FaroeseSTS":0.609571,"WikiCitiesClustering":0.520443,"NusaXBitextMining":0.16899672727272727,"STSBenchmark":0.7919504854997832,"StackOverflowQA":0.63786,"NorwegianCourtsBitextMining":0.848977,"PlscClusteringP2P.v2":0.598306,"ToxicConversationsClassification":0.594402,"BrazilianToxicTweetsClassification":0.158252,"IndicLangClassification":0.083099,"News21InstructionRetrieval":-0.008605,"GujaratiNewsClassification":0.511912,"SiswatiNewsClassification":0.4125,"NollySentiBitextMining":0.25718425,"STS15":0.8371357922283678,"TempReasonL1":0.00696,"MedrxivClusteringP2P.v2":0.318439,"TRECCOVID":0.52303,"NepaliNewsClassification":0.376074,"ArmenianParaphrasePC":0.852491,"AmazonCounterfactualClassification":0.578585,"KorHateSpeechMLClassification":0.053019,"AlloprofReranking":0.562122,"NordicLangClassification":0.393833,"StatcanDialogueDatasetRetrieval":0.11638,"RuBQReranking":0.253379,"STSES":0.650059,"WikiClusteringP2P.v2":0.20397585714285715,"FinParaSTS":0.090052,"OpusparcusPC":0.8699333333333333,"CataloniaTweetClassification":0.40874275,"GermanSTSBenchmark":0.6645194999999999,"SwissJudgementClassification":0.5053413333333333,"MLQARetrieval":0.16189071428571428,"SwednClusteringP2P":0.081331,"DBpediaClassification":0.765918,"HagridRetrieval":0.98762,"TswanaNewsClassification":0.204312,"ArguAna":0.43566000000000005,"MIRACLRetrievalHardNegatives":0.09967666666666668,"IsiZuluNewsClassification":0.194548,"DiaBlaBitextMining":0.268671,"LegalBenchCorporateLobbying":0.8782,"EstonianValenceClassification":0.256601,"SinhalaNewsClassification":0.33374,"SprintDuplicateQuestions":0.949287554635848,"CovidRetrieval":0.0003,"IndicCrosslingualSTS":0.047267583333333335,"Core17InstructionRetrieval":-0.007754,"RTE3":0.85633,"BibleNLPBitextMining":0.0181377077294686,"AfriSentiClassification":0.3603320833333334,"PAC":0.522966,"VoyageMMarcoReranking":0.15955,"GreekLegalCodeClassification":0.0098875,"KurdishSentimentClassification":0.521439,"Robust04InstructionRetrieval":-0.080347,"TERRa":0.505638,"indonli":0.510343,"SpartQA":0.075,"SentimentAnalysisHindi":0.335937,"ItaCaseholdClassification":0.661991,"OdiaNewsClassification":0.421338,"MasakhaNEWSClassification":0.513231625,"FinancialPhrasebankClassification":0.58379,"ArXivHierarchicalClusteringP2P":0.474345,"CLSClusteringP2P.v2":0.103492,"CTKFactsNLI":0.7202365,"JSICK":0.020122,"STSB":0.0399505,"FloresBitextMining":0.0915280406162465,"MacedonianTweetSentimentClassification":0.328183,"TweetTopicSingleClassification":0.610986,"HALClusteringS2S.v2":0.097765,"BulgarianStoreReviewSentimentClassfication":0.234615,"CzechProductReviewSentimentClassification":0.422314,"PawsXPairClassification":0.5195121428571429,"FilipinoShopeeReviewsClassification":0.25542,"SemRel24STS":0.24584191666666666,"BigPatentClustering.v2":0.342574,"ArXivHierarchicalClusteringS2S":0.407978,"AILAStatutes":0.2505,"MasakhaNEWSClusteringS2S":0.33033,"DalajClassification":0.499887,"T2Reranking":0.541116,"WebLINXCandidatesReranking":0.0926125,"KorSarcasmClassification":0.498438,"NusaX-senti":0.5113125,"StackExchangeClustering.v2":0.479275,"Tatoeba":0.057437919642857146,"PolEmo2.0-OUT":0.17834,"RomaniBibleClustering":0.32023,"STS22.v2":0.4441466666666667,"PoemSentimentClassification":0.4421155,"IndicGenBenchFloresBitextMining":0.029858439655172417},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":168,"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":{"Classification":0.455207884223174,"Clustering":0.3110871289600707,"PairClassification":0.7091611400699009,"Reranking":0.3853054444444444,"Retrieval":0.24123268552525426,"InstructionReranking":0.009460333333333333,"BitextMining":0.14977451021342283,"MultilabelClassification":0.12126289565217392},"scoresByTask":{"ScalaClassification":0.50009775,"IndonesianIdClickbaitClassification":0.522849,"SICK-R":0.6617240782538595,"SCIDOCS":0.09923,"PunjabiNewsClassification":0.63758,"AlloProfClusteringS2S.v2":0.182493,"SlovakMovieReviewSentimentClassification":0.526709,"WikipediaRerankingMultilingual":0.689211,"NTREXBitextMining":0.029079458768267223,"NusaParagraphEmotionClassification":0.3028881,"MassiveIntentClassification":0.3184473529411765,"STS13":0.7166792475528088,"CyrillicTurkicLangClassification":0.593896,"CSFDSKMovieReviewSentimentClassification":0.203662,"XNLI":0.5772749285714286,"CEDRClassification":0.333794,"WinoGrande":0.08059,"IN22GenBitextMining":0.01218603557312253,"NusaTranslationBitextMining":0.42368972727272725,"TwitterURLCorpus":0.7879896751132692,"PpcPC":0.732899,"TwitterHjerneRetrieval":0.01785,"MalteseNewsClassification":0.091249,"STS12":0.6189139464648924,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.020562999999999998,"SwahiliNewsClassification":0.419971,"BiorxivClusteringP2P.v2":0.336621,"STS14":0.6782634222687376,"BornholmBitextMining":0.265702,"FaroeseSTS":0.611964,"WikiCitiesClustering":0.667347,"NusaXBitextMining":0.07697509090909091,"STSBenchmark":0.6652235871936412,"StackOverflowQA":0.41283,"MultiEURLEXMultilabelClassification":0.021903478260869566,"NorwegianCourtsBitextMining":0.888889,"PlscClusteringP2P.v2":0.635463,"ToxicConversationsClassification":0.656884765625,"BrazilianToxicTweetsClassification":0.14248,"IndicLangClassification":0.514718,"News21InstructionRetrieval":0.007231,"GujaratiNewsClassification":0.444537,"SiswatiNewsClassification":0.695,"NollySentiBitextMining":0.128129,"STS15":0.7548765072240436,"TempReasonL1":0.00801,"MedrxivClusteringP2P.v2":0.306029,"TRECCOVID":0.39984,"NepaliNewsClassification":0.49248,"ArmenianParaphrasePC":0.871021,"AmazonCounterfactualClassification":0.643191625,"KorHateSpeechMLClassification":0.016888,"BelebeleRetrieval":0.09864553191489361,"AlloprofReranking":0.361809,"NordicLangClassification":0.610267,"StatcanDialogueDatasetRetrieval":0.0065875000000000005,"RuBQReranking":0.328591,"STSES":0.60589,"WikiClusteringP2P.v2":0.19802185714285714,"FinParaSTS":0.0171315,"OpusparcusPC":0.8684935833333333,"CataloniaTweetClassification":0.4347035,"GermanSTSBenchmark":0.6161495,"SwissJudgementClassification":0.532213,"MLQARetrieval":0.07283357142857143,"SwednClusteringP2P":0.067363,"DBpediaClassification":0.818066,"HagridRetrieval":0.95538,"TswanaNewsClassification":0.270226,"WikipediaRetrievalMultilingual":0.317505625,"ArguAna":0.296,"MIRACLRetrievalHardNegatives":0.06603611111111111,"IsiZuluNewsClassification":0.247739,"DiaBlaBitextMining":0.037938,"LegalBenchCorporateLobbying":0.77123,"EstonianValenceClassification":0.26846,"SinhalaNewsClassification":0.330371,"SprintDuplicateQuestions":0.8509945680365945,"CovidRetrieval":0.06665,"IndicCrosslingualSTS":0.022661583333333336,"Core17InstructionRetrieval":0.026506,"RTE3":0.8863909999999999,"BibleNLPBitextMining":0.0033900205314009663,"AfriSentiClassification":0.37456,"PAC":0.538083,"VoyageMMarcoReranking":0.253102,"GreekLegalCodeClassification":0.1128905,"KurdishSentimentClassification":0.551887,"Robust04InstructionRetrieval":-0.005356,"TERRa":0.52268,"indonli":0.519353,"SpartQA":0.16869,"SentimentAnalysisHindi":0.371743,"ItaCaseholdClassification":0.400452,"OdiaNewsClassification":0.53943,"MasakhaNEWSClassification":0.522513125,"FinancialPhrasebankClassification":0.562633,"ArXivHierarchicalClusteringP2P":0.530247,"CLSClusteringP2P.v2":0.128253,"CTKFactsNLI":0.7123035,"JSICK":0.6216,"STSB":0.35000050000000005,"FloresBitextMining":0.012994622379986477,"MacedonianTweetSentimentClassification":0.371378,"TweetTopicSingleClassification":0.499173,"SIB200ClusteringS2S":0.03177408121827411,"HALClusteringS2S.v2":0.052151,"BulgarianStoreReviewSentimentClassfication":0.319231,"CzechProductReviewSentimentClassification":0.40542,"PawsXPairClassification":0.4713722857142857,"FilipinoShopeeReviewsClassification":0.266724,"SemRel24STS":0.3798119166666667,"BigPatentClustering.v2":0.320542,"ArXivHierarchicalClusteringS2S":0.457369,"AILAStatutes":0.11928,"MultiHateClassification":0.5343636363636364,"MasakhaNEWSClusteringS2S":0.315646125,"DalajClassification":0.495721,"T2Reranking":0.607591,"WebLINXCandidatesReranking":0.07152866666666667,"KorSarcasmClassification":0.5146,"NusaX-senti":0.5237916666666667,"StackExchangeClustering.v2":0.421657,"Tatoeba":0.030996142857142858,"PolEmo2.0-OUT":0.305061,"RomaniBibleClustering":0.326417,"STS22.v2":0.3087426111111111,"PoemSentimentClassification":0.37932699999999997,"IndicGenBenchFloresBitextMining":0.016536534482758623},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":169,"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":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":14.0,"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":0.004,"embeddingDim":128,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Classification":0.43705049677667573,"Clustering":0.3220689461991253,"PairClassification":0.7079774233587629,"Reranking":0.3854298576388889,"Retrieval":0.27226015113304974,"InstructionReranking":0.006053333333333334,"BitextMining":0.14589816045353324,"MultilabelClassification":0.11691934782608696},"scoresByTask":{"ScalaClassification":0.49998750000000003,"IndonesianIdClickbaitClassification":0.51168,"SICK-R":0.6398613448451591,"SCIDOCS":0.10976,"PunjabiNewsClassification":0.682166,"AlloProfClusteringS2S.v2":0.191992,"SlovakMovieReviewSentimentClassification":0.525781,"WikipediaRerankingMultilingual":0.6777323125,"NTREXBitextMining":0.029898289144050107,"NusaParagraphEmotionClassification":0.2588589,"MassiveIntentClassification":0.23696811764705883,"STS13":0.7681750749576634,"CyrillicTurkicLangClassification":0.542578,"CSFDSKMovieReviewSentimentClassification":0.208301,"XNLI":0.578314642857143,"CEDRClassification":0.327736,"WinoGrande":0.34206,"IN22GenBitextMining":0.011003551383399209,"NusaTranslationBitextMining":0.40285045454545454,"TwitterURLCorpus":0.8081688006755318,"PpcPC":0.721777,"TwitterHjerneRetrieval":0.02081,"MalteseNewsClassification":0.059687,"STS12":0.6237621006422606,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.011602,"SwahiliNewsClassification":0.364795,"BiorxivClusteringP2P.v2":0.315656,"STS14":0.7098200491385814,"BornholmBitextMining":0.220479,"FaroeseSTS":0.603307,"WikiCitiesClustering":0.690827,"NusaXBitextMining":0.10971218181818182,"STSBenchmark":0.7428444387078392,"StackOverflowQA":0.4822,"MultiEURLEXMultilabelClassification":0.021001739130434783,"NorwegianCourtsBitextMining":0.855994,"PlscClusteringP2P.v2":0.617759,"ToxicConversationsClassification":0.67724609375,"BrazilianToxicTweetsClassification":0.158057,"IndicLangClassification":0.457597,"News21InstructionRetrieval":0.02144,"GujaratiNewsClassification":0.377466,"SiswatiNewsClassification":0.44875,"NollySentiBitextMining":0.17125474999999998,"STS15":0.7866432028882325,"TempReasonL1":0.0183,"MedrxivClusteringP2P.v2":0.318408,"TRECCOVID":0.43236,"NepaliNewsClassification":0.485449,"ArmenianParaphrasePC":0.867866,"AmazonCounterfactualClassification":0.634957,"KorHateSpeechMLClassification":0.018115,"BelebeleRetrieval":0.10561335106382978,"AlloprofReranking":0.37351,"NordicLangClassification":0.5866,"StatcanDialogueDatasetRetrieval":0.0174425,"RuBQReranking":0.324167,"STSES":0.615559,"WikiClusteringP2P.v2":0.20448235714285715,"FinParaSTS":0.016184999999999998,"OpusparcusPC":0.8661731666666667,"CataloniaTweetClassification":0.44029625,"GermanSTSBenchmark":0.6242639999999999,"SwissJudgementClassification":0.5119250000000001,"MLQARetrieval":0.0739319387755102,"SwednClusteringP2P":0.053638,"DBpediaClassification":0.772119,"HagridRetrieval":0.96313,"TswanaNewsClassification":0.234702,"WikipediaRetrievalMultilingual":0.295879375,"ArguAna":0.39449,"MIRACLRetrievalHardNegatives":0.06381555555555556,"IsiZuluNewsClassification":0.221011,"DiaBlaBitextMining":0.030294,"LegalBenchCorporateLobbying":0.83581,"EstonianValenceClassification":0.269193,"SinhalaNewsClassification":0.325439,"SprintDuplicateQuestions":0.8987404753184794,"CovidRetrieval":0.05938,"IndicCrosslingualSTS":0.00789091666666667,"Core17InstructionRetrieval":0.037509,"RTE3":0.8655565000000001,"BibleNLPBitextMining":0.004310717391304348,"AfriSentiClassification":0.3780696666666667,"PAC":0.536085,"VoyageMMarcoReranking":0.249377,"GreekLegalCodeClassification":0.039819499999999994,"KurdishSentimentClassification":0.560745,"Robust04InstructionRetrieval":-0.040789,"TERRa":0.512568,"indonli":0.484426,"SpartQA":0.13552,"SentimentAnalysisHindi":0.370715,"ItaCaseholdClassification":0.273756,"OdiaNewsClassification":0.544408,"MasakhaNEWSClassification":0.489278,"FinancialPhrasebankClassification":0.619214,"ArXivHierarchicalClusteringP2P":0.534201,"CLSClusteringP2P.v2":0.135496,"CTKFactsNLI":0.7139949999999999,"JSICK":0.627619,"STSB":0.394291,"FloresBitextMining":0.012686250603689752,"MacedonianTweetSentimentClassification":0.350483,"TweetTopicSingleClassification":0.526816,"SIB200ClusteringS2S":0.031200969543147206,"HALClusteringS2S.v2":0.049522,"BulgarianStoreReviewSentimentClassfication":0.341758,"CzechProductReviewSentimentClassification":0.430225,"PawsXPairClassification":0.4701660714285714,"FilipinoShopeeReviewsClassification":0.26106,"SemRel24STS":0.38869983333333336,"BigPatentClustering.v2":0.326056,"ArXivHierarchicalClusteringS2S":0.497568,"AILAStatutes":0.16518,"MultiHateClassification":0.5251,"MasakhaNEWSClusteringS2S":0.3145188125,"DalajClassification":0.500113,"T2Reranking":0.609688,"WebLINXCandidatesReranking":0.07810483333333333,"KorSarcasmClassification":0.517773,"NusaX-senti":0.5387708333333333,"StackExchangeClustering.v2":0.50914,"Tatoeba":0.024672089285714287,"PolEmo2.0-OUT":0.275304,"RomaniBibleClustering":0.362638,"STS22.v2":0.30912500000000004,"PoemSentimentClassification":0.4398125,"IndicGenBenchFloresBitextMining":0.011918801724137932},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":170,"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":{"Classification":0.4496615435516675,"Clustering":0.29115884370467726,"PairClassification":0.7097321394883124,"Reranking":0.38111115972222226,"Retrieval":0.24742557218710967,"InstructionReranking":-0.0013189999999999996,"BitextMining":0.145145266446558,"MultilabelClassification":0.11532450434782608},"scoresByTask":{"ScalaClassification":0.5007445,"IndonesianIdClickbaitClassification":0.511211,"SICK-R":0.6543442849067297,"SCIDOCS":0.09668000000000002,"PunjabiNewsClassification":0.613376,"AlloProfClusteringS2S.v2":0.169987,"SlovakMovieReviewSentimentClassification":0.535254,"WikipediaRerankingMultilingual":0.681871625,"NTREXBitextMining":0.029280848121085595,"NusaParagraphEmotionClassification":0.3050463,"MassiveIntentClassification":0.3100309803921569,"STS13":0.7181863685179427,"CyrillicTurkicLangClassification":0.586328,"CSFDSKMovieReviewSentimentClassification":0.200146,"XNLI":0.5772306071428571,"CEDRClassification":0.327524,"WinoGrande":0.15086,"IN22GenBitextMining":0.011798861660079051,"NusaTranslationBitextMining":0.41793209090909095,"TwitterURLCorpus":0.7986337146522463,"PpcPC":0.733388,"TwitterHjerneRetrieval":0.02043,"MalteseNewsClassification":0.063561,"STS12":0.5997334423570035,"LEMBPasskeyRetrieval":0.385,"BUCC.v2":0.009882,"SwahiliNewsClassification":0.410742,"BiorxivClusteringP2P.v2":0.289614,"STS14":0.6699860396187163,"BornholmBitextMining":0.226225,"FaroeseSTS":0.603744,"WikiCitiesClustering":0.578062,"NusaXBitextMining":0.08886618181818182,"STSBenchmark":0.6724531237733661,"StackOverflowQA":0.40078,"MultiEURLEXMultilabelClassification":0.021136521739130436,"NorwegianCourtsBitextMining":0.864766,"PlscClusteringP2P.v2":0.626333,"ToxicConversationsClassification":0.630419921875,"BrazilianToxicTweetsClassification":0.146924,"IndicLangClassification":0.510767,"News21InstructionRetrieval":0.012013,"GujaratiNewsClassification":0.439833,"SiswatiNewsClassification":0.7175,"NollySentiBitextMining":0.16014825,"STS15":0.7549078133619319,"TempReasonL1":0.01172,"MedrxivClusteringP2P.v2":0.28662,"TRECCOVID":0.47015,"NepaliNewsClassification":0.494971,"ArmenianParaphrasePC":0.870837,"AmazonCounterfactualClassification":0.657401625,"KorHateSpeechMLClassification":0.017477,"BelebeleRetrieval":0.09053247340425533,"AlloprofReranking":0.359321,"NordicLangClassification":0.593733,"StatcanDialogueDatasetRetrieval":0.007505,"RuBQReranking":0.325447,"STSES":0.616835,"WikiClusteringP2P.v2":0.19235635714285712,"FinParaSTS":0.018614,"OpusparcusPC":0.8691043333333334,"CataloniaTweetClassification":0.43314175,"GermanSTSBenchmark":0.6126955000000001,"SwissJudgementClassification":0.526319,"MLQARetrieval":0.06573602040816326,"SwednClusteringP2P":0.056304999999999994,"DBpediaClassification":0.80957,"HagridRetrieval":0.94917,"TswanaNewsClassification":0.272074,"WikipediaRetrievalMultilingual":0.29505625,"ArguAna":0.29184,"MIRACLRetrievalHardNegatives":0.059880555555555555,"IsiZuluNewsClassification":0.236835,"DiaBlaBitextMining":0.025072,"LegalBenchCorporateLobbying":0.79257,"EstonianValenceClassification":0.259413,"SinhalaNewsClassification":0.326953,"SprintDuplicateQuestions":0.8505626292429993,"CovidRetrieval":0.06159,"IndicCrosslingualSTS":-0.004226666666666666,"Core17InstructionRetrieval":0.018234,"RTE3":0.88583325,"BibleNLPBitextMining":0.0027082469806763284,"AfriSentiClassification":0.37612341666666665,"PAC":0.544715,"VoyageMMarcoReranking":0.251605,"GreekLegalCodeClassification":0.1002195,"KurdishSentimentClassification":0.552592,"Robust04InstructionRetrieval":-0.034204,"TERRa":0.51959,"indonli":0.511106,"SpartQA":0.17691,"SentimentAnalysisHindi":0.369974,"ItaCaseholdClassification":0.348869,"OdiaNewsClassification":0.541394,"MasakhaNEWSClassification":0.50126,"FinancialPhrasebankClassification":0.563516,"ArXivHierarchicalClusteringP2P":0.515478,"CLSClusteringP2P.v2":0.126455,"CTKFactsNLI":0.718411,"JSICK":0.620906,"STSB":0.36684,"FloresBitextMining":0.012150180744711678,"MacedonianTweetSentimentClassification":0.374188,"TweetTopicSingleClassification":0.462197,"SIB200ClusteringS2S":0.029996142131979694,"HALClusteringS2S.v2":0.03659,"BulgarianStoreReviewSentimentClassfication":0.304945,"CzechProductReviewSentimentClassification":0.406738,"PawsXPairClassification":0.472357,"FilipinoShopeeReviewsClassification":0.2649415,"SemRel24STS":0.37157025,"BigPatentClustering.v2":0.298021,"ArXivHierarchicalClusteringS2S":0.441535,"AILAStatutes":0.12725,"MultiHateClassification":0.5354545454545454,"MasakhaNEWSClusteringS2S":0.288886,"DalajClassification":0.501689,"T2Reranking":0.605237,"WebLINXCandidatesReranking":0.06318533333333333,"KorSarcasmClassification":0.515625,"NusaX-senti":0.5125833333333333,"StackExchangeClustering.v2":0.392502,"Tatoeba":0.02360655357142857,"PolEmo2.0-OUT":0.319231,"RomaniBibleClustering":0.329801,"STS22.v2":0.3201795,"PoemSentimentClassification":0.35738099999999995,"IndicGenBenchFloresBitextMining":0.01445225},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":171,"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":{"Classification":0.4381495237159558,"Clustering":0.27306303861777104,"PairClassification":0.7075690881443316,"Reranking":0.27612447222222225,"Retrieval":0.13451235721623164,"InstructionReranking":-0.007475,"BitextMining":0.12605180106057928,"MultilabelClassification":0.11874704347826089},"scoresByTask":{"ScalaClassification":0.5017825,"IndonesianIdClickbaitClassification":0.529322,"SICK-R":0.767212346922664,"SCIDOCS":0.18605,"PunjabiNewsClassification":0.625478,"AlloProfClusteringS2S.v2":0.159097,"SlovakMovieReviewSentimentClassification":0.522217,"WikipediaRerankingMultilingual":0.4245015,"NTREXBitextMining":0.023621781837160752,"NusaParagraphEmotionClassification":0.2374791,"MassiveIntentClassification":0.2723471470588235,"STS13":0.8329727595993955,"CyrillicTurkicLangClassification":0.605713,"CSFDSKMovieReviewSentimentClassification":0.189014,"XNLI":0.54800975,"CEDRClassification":0.341073,"WinoGrande":0.01817,"IN22GenBitextMining":0.014069284584980237,"NusaTranslationBitextMining":0.4073041818181818,"TwitterURLCorpus":0.8605431303247397,"PpcPC":0.707084,"TwitterHjerneRetrieval":0.0254,"MalteseNewsClassification":0.034088,"STS12":0.7366390263429565,"LEMBPasskeyRetrieval":0.034999999999999996,"BUCC.v2":0.0028032499999999998,"SwahiliNewsClassification":0.336865,"BiorxivClusteringP2P.v2":0.208927,"STS14":0.7916865482487541,"BornholmBitextMining":0.175312,"FaroeseSTS":0.581388,"WikiCitiesClustering":0.430689,"NusaXBitextMining":0.033258363636363635,"STSBenchmark":0.8403893866106175,"StackOverflowQA":0.13099,"MultiEURLEXMultilabelClassification":0.013705217391304347,"NorwegianCourtsBitextMining":0.812865,"PlscClusteringP2P.v2":0.622693,"ToxicConversationsClassification":0.7154419999999999,"BrazilianToxicTweetsClassification":0.180078,"IndicLangClassification":0.521376,"News21InstructionRetrieval":0.011228,"GujaratiNewsClassification":0.400986,"SiswatiNewsClassification":0.72875,"NollySentiBitextMining":0.130081,"STS15":0.8729947322714338,"TempReasonL1":0.00397,"MedrxivClusteringP2P.v2":0.244033,"TRECCOVID":0.6518,"NepaliNewsClassification":0.497998,"ArmenianParaphrasePC":0.873233,"AmazonCounterfactualClassification":0.629214125,"KorHateSpeechMLClassification":0.024791,"BelebeleRetrieval":0.021643803191489362,"AlloprofReranking":0.312736,"NordicLangClassification":0.5033,"StatcanDialogueDatasetRetrieval":0.001365,"RuBQReranking":0.173003,"STSES":0.44566,"WikiClusteringP2P.v2":0.17700328571428572,"FinParaSTS":0.046612,"OpusparcusPC":0.8555031666666667,"CataloniaTweetClassification":0.4455605,"GermanSTSBenchmark":0.5194735,"SwissJudgementClassification":0.5372083333333334,"MLQARetrieval":0.018130918367346937,"SwednClusteringP2P":0.0155695,"DBpediaClassification":0.730029,"HagridRetrieval":0.43194,"TswanaNewsClassification":0.19384,"WikipediaRetrievalMultilingual":0.058124375,"ArguAna":0.46729,"MIRACLRetrievalHardNegatives":0.003098333333333333,"IsiZuluNewsClassification":0.242553,"DiaBlaBitextMining":0.013402,"LegalBenchCorporateLobbying":0.20833,"EstonianValenceClassification":0.288875,"SinhalaNewsClassification":0.377881,"SprintDuplicateQuestions":0.9511619225962413,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.06251416666666666,"Core17InstructionRetrieval":-0.025195,"RTE3":0.850301,"BibleNLPBitextMining":0.0016640193236714975,"AfriSentiClassification":0.368891,"PAC":0.59305,"VoyageMMarcoReranking":0.185601,"GreekLegalCodeClassification":0.061352500000000004,"KurdishSentimentClassification":0.571414,"Robust04InstructionRetrieval":-0.008458,"TERRa":0.478604,"indonli":0.493873,"SpartQA":0.02968,"SentimentAnalysisHindi":0.38984,"ItaCaseholdClassification":0.166516,"OdiaNewsClassification":0.571078,"MasakhaNEWSClassification":0.405297875,"FinancialPhrasebankClassification":0.547836,"ArXivHierarchicalClusteringP2P":0.483147,"CLSClusteringP2P.v2":0.120785,"CTKFactsNLI":0.6948430000000001,"JSICK":0.625403,"STSB":0.3105675,"FloresBitextMining":0.012347868178305806,"MacedonianTweetSentimentClassification":0.367515,"TweetTopicSingleClassification":0.445068,"SIB200ClusteringS2S":0.025217644670050762,"HALClusteringS2S.v2":0.048446,"BulgarianStoreReviewSentimentClassfication":0.301648,"CzechProductReviewSentimentClassification":0.395654,"PawsXPairClassification":0.470104,"FilipinoShopeeReviewsClassification":0.24387199999999998,"SemRel24STS":0.36213349999999994,"BigPatentClustering.v2":0.225739,"ArXivHierarchicalClusteringS2S":0.496587,"AILAStatutes":0.13024,"MultiHateClassification":0.5477272727272727,"MasakhaNEWSClusteringS2S":0.3063721875,"DalajClassification":0.501126,"T2Reranking":0.51807,"WebLINXCandidatesReranking":0.042835333333333336,"KorSarcasmClassification":0.527686,"NusaX-senti":0.5271041666666667,"StackExchangeClustering.v2":0.423103,"Tatoeba":0.009850017857142858,"PolEmo2.0-OUT":0.30668,"RomaniBibleClustering":0.3816,"STS22.v2":0.1757616111111111,"PoemSentimentClassification":0.36784300000000003,"IndicGenBenchFloresBitextMining":0.002094646551724138},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":172,"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":{"Classification":0.5467475730169341,"Clustering":0.38207596020100615,"PairClassification":0.7241400936597798,"Reranking":0.4411550625,"Retrieval":0.3057195614868288,"InstructionReranking":-0.010910333333333334},"scoresByTask":{"ScalaClassification":0.5250732499999999,"IndonesianIdClickbaitClassification":0.588533,"SICK-R":0.7555405115197729,"SCIDOCS":0.15345,"PunjabiNewsClassification":0.592994,"AlloProfClusteringS2S.v2":0.191366,"SlovakMovieReviewSentimentClassification":0.589502,"WikipediaRerankingMultilingual":0.740124875,"NusaParagraphEmotionClassification":0.38900419999999997,"MassiveIntentClassification":0.49014484313725487,"STS13":0.8389765011154986,"CyrillicTurkicLangClassification":0.7771,"CSFDSKMovieReviewSentimentClassification":0.249707,"XNLI":0.5551863928571429,"CEDRClassification":0.364612,"WinoGrande":0.46358,"TwitterURLCorpus":0.8276174215711473,"PpcPC":0.690867,"TwitterHjerneRetrieval":0.06807,"STS12":0.6765074099726466,"LEMBPasskeyRetrieval":0.2425,"SwahiliNewsClassification":0.588916,"BiorxivClusteringP2P.v2":0.39412,"STS14":0.7697256789216159,"FaroeseSTS":0.404308,"WikiCitiesClustering":0.831262,"STSBenchmark":0.8041509666334722,"StackOverflowQA":0.65572,"PlscClusteringP2P.v2":0.693167,"ToxicConversationsClassification":0.707112,"IndicLangClassification":0.886949,"News21InstructionRetrieval":-0.001918,"GujaratiNewsClassification":0.510243,"SiswatiNewsClassification":0.72375,"STS15":0.8380216382863032,"TempReasonL1":0.00182,"MedrxivClusteringP2P.v2":0.348189,"TRECCOVID":0.55665,"NepaliNewsClassification":0.809131,"ArmenianParaphrasePC":0.907511,"AmazonCounterfactualClassification":0.747964375,"BelebeleRetrieval":0.19292505319148937,"AlloprofReranking":0.399192,"NordicLangClassification":0.693167,"StatcanDialogueDatasetRetrieval":0.059274999999999994,"RuBQReranking":0.477463,"STSES":0.721254,"WikiClusteringP2P.v2":0.23342692857142858,"FinParaSTS":0.039644,"OpusparcusPC":0.8753270833333334,"CataloniaTweetClassification":0.4889885,"GermanSTSBenchmark":0.47567499999999996,"SwissJudgementClassification":0.5379856666666667,"MLQARetrieval":0.11428642857142857,"SwednClusteringP2P":0.3389245,"DBpediaClassification":0.899658,"HagridRetrieval":0.82166,"TswanaNewsClassification":0.307803,"WikipediaRetrievalMultilingual":0.539455625,"ArguAna":0.51001,"MIRACLRetrievalHardNegatives":0.08868,"IsiZuluNewsClassification":0.25133,"LegalBenchCorporateLobbying":0.72963,"EstonianValenceClassification":0.316993,"SinhalaNewsClassification":0.475928,"SprintDuplicateQuestions":0.9130057039245253,"CovidRetrieval":0.07957,"IndicCrosslingualSTS":0.08277833333333333,"Core17InstructionRetrieval":0.002222,"RTE3":0.8725335000000001,"AfriSentiClassification":0.40338650000000004,"PAC":0.677932,"VoyageMMarcoReranking":0.372455,"GreekLegalCodeClassification":0.242969,"KurdishSentimentClassification":0.567539,"Robust04InstructionRetrieval":-0.033035,"TERRa":0.50197,"indonli":0.489513,"SpartQA":0.00087,"SentimentAnalysisHindi":0.418771,"ItaCaseholdClassification":0.844344,"OdiaNewsClassification":0.452356,"MasakhaNEWSClassification":0.6520860625,"FinancialPhrasebankClassification":0.694125,"ArXivHierarchicalClusteringP2P":0.581675,"CLSClusteringP2P.v2":0.315456,"CTKFactsNLI":0.7176245,"JSICK":0.664978,"STSB":0.504092,"MacedonianTweetSentimentClassification":0.428709,"TweetTopicSingleClassification":0.637685,"SIB200ClusteringS2S":0.07590430964467006,"HALClusteringS2S.v2":0.139796,"BulgarianStoreReviewSentimentClassfication":0.477473,"CzechProductReviewSentimentClassification":0.468799,"PawsXPairClassification":0.6143854285714286,"FilipinoShopeeReviewsClassification":0.307129,"SemRel24STS":0.4538755833333333,"BigPatentClustering.v2":0.25967,"ArXivHierarchicalClusteringS2S":0.520759,"AILAStatutes":0.2248,"MultiHateClassification":0.5824909090909091,"MasakhaNEWSClusteringS2S":0.32573762500000003,"DalajClassification":0.502252,"T2Reranking":0.596915,"WebLINXCandidatesReranking":0.060780499999999994,"KorSarcasmClassification":0.55376,"NusaX-senti":0.6004583333333333,"StackExchangeClustering.v2":0.481736,"PolEmo2.0-OUT":0.425101,"RomaniBibleClustering":0.382026,"STS22.v2":0.5336842777777778,"PoemSentimentClassification":0.42480300000000004},"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":{"STS":0.45190608412247474,"Classification":0.43382716335123633,"Clustering":0.29969806761863216,"Reranking":0.35127672557392975,"Retrieval":0.0916499631284744,"InstructionReranking":0.0026413333333333336,"MultilabelClassification":0.13702081592200713},"scoresByTask":{"ScalaClassification":0.5019775,"IndonesianIdClickbaitClassification":0.540542,"SICK-R":0.569841,"SCIDOCS":0.01179,"PunjabiNewsClassification":0.62293,"AlloProfClusteringS2S.v2":0.18358,"SlovakMovieReviewSentimentClassification":0.528174,"WikipediaRerankingMultilingual":0.5201680625,"NusaParagraphEmotionClassification":0.2512756,"MassiveIntentClassification":0.2541095098039216,"STS13":0.469903,"CyrillicTurkicLangClassification":0.588037109375,"CSFDSKMovieReviewSentimentClassification":0.202197,"CEDRClassification":0.3555260361317747,"WinoGrande":0.05274,"IN22GenBitextMining":0.028364407114624506,"NusaTranslationBitextMining":0.380102,"TwitterURLCorpus":0.7015,"PpcPC":0.837143,"TwitterHjerneRetrieval":0.03563,"MalteseNewsClassification":0.145755,"STS12":0.590229,"LEMBPasskeyRetrieval":0.0225,"SwahiliNewsClassification":0.393115,"BiorxivClusteringP2P.v2":0.189806,"STS14":0.50879,"BornholmBitextMining":0.156034,"FaroeseSTS":0.496287,"WikiCitiesClustering":0.491251,"NusaXBitextMining":0.030711909090909092,"STSBenchmark":0.557891,"StackOverflowQA":0.06968,"MultiEURLEXMultilabelClassification":0.01413304347826087,"NorwegianCourtsBitextMining":0.794591,"PlscClusteringP2P.v2":0.647859,"ToxicConversationsClassification":0.532764,"BrazilianToxicTweetsClassification":0.149268,"IndicLangClassification":0.2725,"News21InstructionRetrieval":0.032157,"GujaratiNewsClassification":0.396737,"SiswatiNewsClassification":0.71,"STS17":0.33391181818181814,"NollySentiBitextMining":0.16390274999999999,"STS15":0.645847,"TempReasonL1":0.0016,"MedrxivClusteringP2P.v2":0.235856,"TRECCOVID":0.07796,"NepaliNewsClassification":0.464697,"ArmenianParaphrasePC":0.85015,"AmazonCounterfactualClassification":0.575301375,"KorHateSpeechMLClassification":0.020422,"BelebeleRetrieval":0.06831242021276596,"AlloprofReranking":0.335788,"NordicLangClassification":0.5139,"StatcanDialogueDatasetRetrieval":0.0046700000000000005,"RuBQReranking":0.3989251242769119,"STSES":0.460771,"WikiClusteringP2P.v2":0.20428007142857144,"FinParaSTS":0.065558,"OpusparcusPC":0.8481225833333333,"CataloniaTweetClassification":0.42603075,"GermanSTSBenchmark":0.5541245,"SwissJudgementClassification":0.493076,"MLQARetrieval":0.04853469387755102,"SwednClusteringP2P":0.076817,"DBpediaClassification":0.772852,"HagridRetrieval":0.52552,"TswanaNewsClassification":0.192197,"WikipediaRetrievalMultilingual":0.115095,"ArguAna":0.09387,"MIRACLRetrievalHardNegatives":0.008937222222222223,"IsiZuluNewsClassification":0.226596,"DiaBlaBitextMining":0.048874,"LegalBenchCorporateLobbying":0.35354,"EstonianValenceClassification":0.29401,"SinhalaNewsClassification":0.37915,"SprintDuplicateQuestions":0.482546,"CovidRetrieval":0.00071,"IndicCrosslingualSTS":0.03630833333333333,"Core17InstructionRetrieval":0.016001,"RTE3":0.85292725,"AfriSentiClassification":0.34968333333333335,"PAC":0.643643,"VoyageMMarcoReranking":0.196422,"GreekLegalCodeClassification":0.072876,"KurdishSentimentClassification":0.578108,"Robust04InstructionRetrieval":-0.040234,"TERRa":0.5911700831394415,"indonli":0.488812,"SpartQA":0.01727,"SentimentAnalysisHindi":0.368848,"ItaCaseholdClassification":0.30543,"OdiaNewsClassification":0.574483,"MasakhaNEWSClassification":0.4901049375,"FinancialPhrasebankClassification":0.488163,"ArXivHierarchicalClusteringP2P":0.497449,"CLSClusteringP2P.v2":0.171415,"CTKFactsNLI":0.7373244999999999,"JSICK":0.651558,"STSB":0.652471,"MacedonianTweetSentimentClassification":0.378051,"TweetTopicSingleClassification":0.473184,"SIB200ClusteringS2S":0.06173719796954315,"HALClusteringS2S.v2":0.113099,"BulgarianStoreReviewSentimentClassfication":0.403297,"CzechProductReviewSentimentClassification":0.410449,"PawsXPairClassification":0.5096652857142857,"FilipinoShopeeReviewsClassification":0.2342775,"SemRel24STS":0.29117658333333335,"BigPatentClustering.v2":0.312327,"ArXivHierarchicalClusteringS2S":0.50441,"AILAStatutes":0.14134,"MultiHateClassification":0.5436909090909091,"MasakhaNEWSClusteringS2S":0.3057488125,"DalajClassification":0.503829,"T2Reranking":0.537353,"WebLINXCandidatesReranking":0.11900416666666667,"KorSarcasmClassification":0.550391,"NusaX-senti":0.484375,"StackExchangeClustering.v2":0.417072,"PolEmo2.0-OUT":0.346356,"RomaniBibleClustering":0.382462,"STS22.v2":0.3458301111111111,"PoemSentimentClassification":0.32315950000000004,"IndicGenBenchFloresBitextMining":0.005863137931034482},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":174,"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":{"Classification":0.42554543600466876,"Clustering":0.3024511359227701,"PairClassification":0.7045185413679481,"Reranking":0.27441050347222223,"Retrieval":0.2438324832109755,"InstructionReranking":-0.004115333333333334,"BitextMining":0.1406829811628301,"MultilabelClassification":0.14038234782608697},"scoresByTask":{"ScalaClassification":0.501123,"IndonesianIdClickbaitClassification":0.525298,"SICK-R":0.6466033328975722,"SCIDOCS":0.11145,"PunjabiNewsClassification":0.631847,"AlloProfClusteringS2S.v2":0.143294,"SlovakMovieReviewSentimentClassification":0.520312,"WikipediaRerankingMultilingual":0.5354561875,"NTREXBitextMining":0.08167260020876826,"NusaParagraphEmotionClassification":0.28040560000000003,"MassiveIntentClassification":0.151524,"STS13":0.779790218678965,"CyrillicTurkicLangClassification":0.222363,"CSFDSKMovieReviewSentimentClassification":0.194678,"XNLI":0.5659985714285715,"CEDRClassification":0.337726,"WinoGrande":0.20898,"IN22GenBitextMining":0.04687536561264822,"NusaTranslationBitextMining":0.3549594545454546,"TwitterURLCorpus":0.7947942287203573,"PpcPC":0.725664,"TwitterHjerneRetrieval":0.00825,"MalteseNewsClassification":0.074576,"STS12":0.6463642414925371,"LEMBPasskeyRetrieval":0.39,"BUCC.v2":0.02419075,"SwahiliNewsClassification":0.454248,"BiorxivClusteringP2P.v2":0.346647,"STS14":0.7008415685571369,"BornholmBitextMining":0.141176,"FaroeseSTS":0.308507,"WikiCitiesClustering":0.68082,"NusaXBitextMining":0.11228327272727273,"STSBenchmark":0.6890568918705055,"StackOverflowQA":0.34095,"MultiEURLEXMultilabelClassification":0.016741739130434783,"NorwegianCourtsBitextMining":0.71571,"PlscClusteringP2P.v2":0.63518,"ToxicConversationsClassification":0.676025390625,"BrazilianToxicTweetsClassification":0.14248,"IndicLangClassification":0.178151,"News21InstructionRetrieval":0.005425,"GujaratiNewsClassification":0.421168,"SiswatiNewsClassification":0.71625,"NollySentiBitextMining":0.14902525,"STS15":0.7877945492051583,"TempReasonL1":0.01021,"MedrxivClusteringP2P.v2":0.320937,"TRECCOVID":0.50293,"NepaliNewsClassification":0.488672,"ArmenianParaphrasePC":0.814416,"AmazonCounterfactualClassification":0.6219445,"KorHateSpeechMLClassification":0.130388,"BelebeleRetrieval":0.11790002659574468,"AlloprofReranking":0.291092,"NordicLangClassification":0.5227,"StatcanDialogueDatasetRetrieval":0.0070325000000000006,"RuBQReranking":0.228318,"STSES":0.590956,"WikiClusteringP2P.v2":0.17452642857142855,"FinParaSTS":0.0847075,"OpusparcusPC":0.82276475,"CataloniaTweetClassification":0.431343,"GermanSTSBenchmark":0.44395999999999997,"SwissJudgementClassification":0.5196676666666666,"MLQARetrieval":0.07939744897959183,"SwednClusteringP2P":0.0369785,"DBpediaClassification":0.827051,"HagridRetrieval":0.95849,"TswanaNewsClassification":0.195688,"WikipediaRetrievalMultilingual":0.1555725,"ArguAna":0.33774,"MIRACLRetrievalHardNegatives":0.04416222222222222,"IsiZuluNewsClassification":0.124601,"DiaBlaBitextMining":0.04234,"LegalBenchCorporateLobbying":0.82523,"EstonianValenceClassification":0.269438,"SinhalaNewsClassification":0.318066,"SprintDuplicateQuestions":0.8793890477556426,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.025866750000000004,"Core17InstructionRetrieval":0.008157,"RTE3":0.8890865,"BibleNLPBitextMining":0.006136269323671497,"AfriSentiClassification":0.3804623333333333,"PAC":0.638517,"VoyageMMarcoReranking":0.055098,"GreekLegalCodeClassification":0.047388,"KurdishSentimentClassification":0.533317,"Robust04InstructionRetrieval":-0.025928,"TERRa":0.540761,"indonli":0.525999,"SpartQA":0.15622,"SentimentAnalysisHindi":0.348882,"ItaCaseholdClassification":0.323077,"OdiaNewsClassification":0.525051,"MasakhaNEWSClassification":0.485835,"FinancialPhrasebankClassification":0.539223,"ArXivHierarchicalClusteringP2P":0.534444,"CLSClusteringP2P.v2":0.050533,"CTKFactsNLI":0.728934,"JSICK":0.205889,"STSB":0.010992499999999999,"FloresBitextMining":0.05872481640587269,"MacedonianTweetSentimentClassification":0.33784,"TweetTopicSingleClassification":0.493385,"SIB200ClusteringS2S":0.0302817461928934,"HALClusteringS2S.v2":0.043055,"BulgarianStoreReviewSentimentClassfication":0.374725,"CzechProductReviewSentimentClassification":0.391113,"PawsXPairClassification":0.4618968571428571,"FilipinoShopeeReviewsClassification":0.2670655,"SemRel24STS":0.24640683333333335,"BigPatentClustering.v2":0.311843,"ArXivHierarchicalClusteringS2S":0.456268,"AILAStatutes":0.13447,"MultiHateClassification":0.536309090909091,"MasakhaNEWSClusteringS2S":0.2789175,"DalajClassification":0.501239,"T2Reranking":0.471024,"WebLINXCandidatesReranking":0.06547483333333333,"KorSarcasmClassification":0.55332,"NusaX-senti":0.49304166666666666,"StackExchangeClustering.v2":0.420781,"Tatoeba":0.0357588125,"PolEmo2.0-OUT":0.326113,"RomaniBibleClustering":0.374712,"STS22.v2":0.33986144444444444,"PoemSentimentClassification":0.40998599999999996,"IndicGenBenchFloresBitextMining":0.060026163793103444},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":175,"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":{"STS":0.4513384835858586,"Classification":0.41167633198244413,"Clustering":0.2915847575830538,"Reranking":0.3457588808527166,"Retrieval":0.1434576529221815,"InstructionReranking":-0.0009313333333333338,"BitextMining":0.22654390990354642,"MultilabelClassification":0.15268940482373053},"scoresByTask":{"ScalaClassification":0.50281975,"IndonesianIdClickbaitClassification":0.554288,"SICK-R":0.610656,"SCIDOCS":0.01185,"PunjabiNewsClassification":0.671338,"AlloProfClusteringS2S.v2":0.161847,"SlovakMovieReviewSentimentClassification":0.521387,"WikipediaRerankingMultilingual":0.5559071875,"NTREXBitextMining":0.13180345668058455,"NusaParagraphEmotionClassification":0.23263910000000002,"MassiveIntentClassification":0.1703475294117647,"STS13":0.599659,"CyrillicTurkicLangClassification":0.501367,"CSFDSKMovieReviewSentimentClassification":0.205762,"CEDRClassification":0.3686503719447396,"WinoGrande":0.01418,"IN22GenBitextMining":0.09622879841897233,"NusaTranslationBitextMining":0.584061909090909,"TwitterURLCorpus":0.779789,"PpcPC":0.708388,"TwitterHjerneRetrieval":0.0208,"MalteseNewsClassification":0.147758,"STS12":0.651195,"LEMBPasskeyRetrieval":0.1,"BUCC.v2":0.2526775,"SwahiliNewsClassification":0.32793,"BiorxivClusteringP2P.v2":0.246129,"STS14":0.602823,"BornholmBitextMining":0.376578,"FaroeseSTS":0.577677,"WikiCitiesClustering":0.492865,"NusaXBitextMining":0.09804581818181818,"STSBenchmark":0.630216,"StackOverflowQA":0.19965,"MultiEURLEXMultilabelClassification":0.016915652173913043,"NorwegianCourtsBitextMining":0.914474,"PlscClusteringP2P.v2":0.63606,"ToxicConversationsClassification":0.574365,"BrazilianToxicTweetsClassification":0.1854,"IndicLangClassification":0.109051,"News21InstructionRetrieval":0.013857,"GujaratiNewsClassification":0.41305,"SiswatiNewsClassification":0.365,"STS17":0.29709318181818184,"NollySentiBitextMining":0.26390675,"STS15":0.743766,"TempReasonL1":0.00903,"MedrxivClusteringP2P.v2":0.26866,"TRECCOVID":0.08672,"NepaliNewsClassification":0.400049,"ArmenianParaphrasePC":0.850934,"AmazonCounterfactualClassification":0.612616625,"KorHateSpeechMLClassification":0.044723,"BelebeleRetrieval":0.07722122340425532,"AlloprofReranking":0.279354,"NordicLangClassification":0.465233,"StatcanDialogueDatasetRetrieval":0.0042725,"RuBQReranking":0.46090926428296647,"STSES":0.645836,"WikiClusteringP2P.v2":0.1907917142857143,"FinParaSTS":0.0708715,"OpusparcusPC":0.8881694166666666,"CataloniaTweetClassification":0.433406,"GermanSTSBenchmark":0.6007015,"SwissJudgementClassification":0.5283663333333334,"MLQARetrieval":0.04641326530612245,"SwednClusteringP2P":0.02171,"DBpediaClassification":0.75708,"HagridRetrieval":0.78021,"TswanaNewsClassification":0.150719,"WikipediaRetrievalMultilingual":0.144711875,"ArguAna":0.27657,"MIRACLRetrievalHardNegatives":0.006848888888888889,"IsiZuluNewsClassification":0.199468,"DiaBlaBitextMining":0.040929,"LegalBenchCorporateLobbying":0.60186,"EstonianValenceClassification":0.290342,"SinhalaNewsClassification":0.348877,"SprintDuplicateQuestions":0.711581,"CovidRetrieval":0.00105,"IndicCrosslingualSTS":0.06515866666666666,"Core17InstructionRetrieval":0.008796,"RTE3":0.8577525,"BibleNLPBitextMining":0.009251315217391304,"AfriSentiClassification":0.3458105,"PAC":0.621894,"VoyageMMarcoReranking":0.161105,"GreekLegalCodeClassification":0.0169435,"KurdishSentimentClassification":0.550629,"Robust04InstructionRetrieval":-0.025447,"TERRa":0.5186855842521659,"indonli":0.485499,"SpartQA":0.06279,"SentimentAnalysisHindi":0.352582,"ItaCaseholdClassification":0.182353,"OdiaNewsClassification":0.460116,"MasakhaNEWSClassification":0.4251234375,"FinancialPhrasebankClassification":0.625618,"ArXivHierarchicalClusteringP2P":0.508803,"CLSClusteringP2P.v2":0.093387,"CTKFactsNLI":0.7008255,"JSICK":0.406,"STSB":0.188,"FloresBitextMining":0.07071441570076306,"MacedonianTweetSentimentClassification":0.401054,"TweetTopicSingleClassification":0.469581,"SIB200ClusteringS2S":0.048221969543147204,"HALClusteringS2S.v2":0.065756,"BulgarianStoreReviewSentimentClassfication":0.395055,"CzechProductReviewSentimentClassification":0.435645,"PawsXPairClassification":0.47967771428571426,"FilipinoShopeeReviewsClassification":0.26467300000000005,"SemRel24STS":0.24778583333333334,"BigPatentClustering.v2":0.277781,"ArXivHierarchicalClusteringS2S":0.483824,"AILAStatutes":0.13806,"MultiHateClassification":0.5415,"MasakhaNEWSClusteringS2S":0.3410174375,"DalajClassification":0.506081,"T2Reranking":0.531911,"WebLINXCandidatesReranking":0.08536683333333334,"KorSarcasmClassification":0.546436,"NusaX-senti":0.5448125,"StackExchangeClustering.v2":0.432543,"Tatoeba":0.05446609821428572,"PolEmo2.0-OUT":0.315587,"RomaniBibleClustering":0.39596,"STS22.v2":0.2839770555555556,"PoemSentimentClassification":0.365087,"IndicGenBenchFloresBitextMining":0.05193376724137931},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"experiments":null},{"rank":176,"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":{"STS":0.40436358270202016,"Classification":0.4384607405852299,"Clustering":0.28735566149610225,"Reranking":0.3317884720578988,"Retrieval":0.12093411385712678,"InstructionReranking":-0.008903,"BitextMining":0.170785162487251,"MultilabelClassification":0.13860125009471885},"scoresByTask":{"ScalaClassification":0.502661,"IndonesianIdClickbaitClassification":0.549481,"SICK-R":0.603934,"SCIDOCS":0.00863,"PunjabiNewsClassification":0.570701,"AlloProfClusteringS2S.v2":0.173352,"SlovakMovieReviewSentimentClassification":0.531982,"WikipediaRerankingMultilingual":0.527752125,"NTREXBitextMining":0.04798381524008351,"NusaParagraphEmotionClassification":0.27093219999999996,"MassiveIntentClassification":0.24265614705882355,"STS13":0.633996,"CyrillicTurkicLangClassification":0.616064,"CSFDSKMovieReviewSentimentClassification":0.195264,"CEDRClassification":0.3738575982996812,"WinoGrande":0.02337,"IN22GenBitextMining":0.06502457707509882,"NusaTranslationBitextMining":0.5271916363636364,"TwitterURLCorpus":0.719706,"PpcPC":0.696505,"TwitterHjerneRetrieval":0.02057,"MalteseNewsClassification":0.101306,"STS12":0.496569,"LEMBPasskeyRetrieval":0.0625,"BUCC.v2":0.1666015,"SwahiliNewsClassification":0.380225,"BiorxivClusteringP2P.v2":0.231505,"STS14":0.54883,"BornholmBitextMining":0.221236,"FaroeseSTS":0.571913,"WikiCitiesClustering":0.399476,"NusaXBitextMining":0.03195245454545454,"STSBenchmark":0.558644,"StackOverflowQA":0.16657,"MultiEURLEXMultilabelClassification":0.019615652173913044,"NorwegianCourtsBitextMining":0.866228,"PlscClusteringP2P.v2":0.641925,"ToxicConversationsClassification":0.599512,"BrazilianToxicTweetsClassification":0.164746,"IndicLangClassification":0.152298,"News21InstructionRetrieval":0.010442,"GujaratiNewsClassification":0.399469,"SiswatiNewsClassification":0.7225,"STS17":0.20077954545454543,"NollySentiBitextMining":0.20962225,"STS15":0.67318,"TempReasonL1":0.00155,"MedrxivClusteringP2P.v2":0.274527,"TRECCOVID":0.09474,"NepaliNewsClassification":0.415771,"ArmenianParaphrasePC":0.847144,"AmazonCounterfactualClassification":0.630424375,"KorHateSpeechMLClassification":0.033481,"BelebeleRetrieval":0.04463837765957447,"AlloprofReranking":0.314161,"NordicLangClassification":0.548033,"StatcanDialogueDatasetRetrieval":0.00583,"RuBQReranking":0.3543737073473925,"STSES":0.551823,"WikiClusteringP2P.v2":0.18729528571428572,"FinParaSTS":-0.009507,"OpusparcusPC":0.8772093333333334,"CataloniaTweetClassification":0.43807799999999997,"GermanSTSBenchmark":0.5297045,"SwissJudgementClassification":0.5251656666666666,"MLQARetrieval":0.026982755102040817,"SwednClusteringP2P":0.0353655,"DBpediaClassification":0.792139,"HagridRetrieval":0.6654,"TswanaNewsClassification":0.227721,"WikipediaRetrievalMultilingual":0.11511125,"ArguAna":0.24164,"MIRACLRetrievalHardNegatives":0.003951666666666667,"IsiZuluNewsClassification":0.23258,"DiaBlaBitextMining":0.022897,"LegalBenchCorporateLobbying":0.53558,"EstonianValenceClassification":0.302323,"SinhalaNewsClassification":0.391797,"SprintDuplicateQuestions":0.532726,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.010317333333333331,"Core17InstructionRetrieval":0.004087,"RTE3":0.8677905,"BibleNLPBitextMining":0.004701433574879227,"AfriSentiClassification":0.3506206666666667,"PAC":0.61587,"VoyageMMarcoReranking":0.157571,"GreekLegalCodeClassification":0.0378415,"KurdishSentimentClassification":0.601459,"Robust04InstructionRetrieval":-0.041238,"TERRa":0.5285217809384593,"indonli":0.508556,"SpartQA":0.0334,"SentimentAnalysisHindi":0.373452,"ItaCaseholdClassification":0.304525,"OdiaNewsClassification":0.481363,"MasakhaNEWSClassification":0.4803920625,"FinancialPhrasebankClassification":0.605786,"ArXivHierarchicalClusteringP2P":0.514023,"CLSClusteringP2P.v2":0.070527,"CTKFactsNLI":0.6979690000000001,"JSICK":0.41044,"STSB":0.1896235,"FloresBitextMining":0.022612203540036704,"MacedonianTweetSentimentClassification":0.413521,"TweetTopicSingleClassification":0.422445,"SIB200ClusteringS2S":0.046947548223350254,"HALClusteringS2S.v2":0.080483,"BulgarianStoreReviewSentimentClassfication":0.375824,"CzechProductReviewSentimentClassification":0.411572,"PawsXPairClassification":0.47355578571428575,"FilipinoShopeeReviewsClassification":0.250635,"SemRel24STS":0.24688066666666666,"BigPatentClustering.v2":0.295266,"ArXivHierarchicalClusteringS2S":0.491871,"AILAStatutes":0.12635,"MultiHateClassification":0.5555727272727272,"MasakhaNEWSClusteringS2S":0.30220525,"DalajClassification":0.506306,"T2Reranking":0.558596,"WebLINXCandidatesReranking":0.078277,"KorSarcasmClassification":0.541113,"NusaX-senti":0.535,"StackExchangeClustering.v2":0.464793,"Tatoeba":0.030137517857142856,"PolEmo2.0-OUT":0.338057,"RomaniBibleClustering":0.388129,"STS22.v2":0.25268977777777774,"PoemSentimentClassification":0.4146795,"IndicGenBenchFloresBitextMining":0.004018724137931034},"scoresByCustomGroup":{},"trainedOnTasks":["Tatoeba"],"experiments":null},{"rank":177,"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":{"STS":0.3137157891414142,"Classification":0.4486985096116776,"Reranking":0.32432346628390185,"InstructionReranking":0.008025333333333334,"MultilabelClassification":0.1283181243265721},"scoresByTask":{"ScalaClassification":0.50281975,"IndonesianIdClickbaitClassification":0.574727,"SICK-R":0.442201,"SCIDOCS":0.00346,"PunjabiNewsClassification":0.635669,"AlloProfClusteringS2S.v2":0.190534,"SlovakMovieReviewSentimentClassification":0.53042,"WikipediaRerankingMultilingual":0.458892125,"NusaParagraphEmotionClassification":0.2607433,"MassiveIntentClassification":0.26459899019607847,"STS13":0.398322,"CyrillicTurkicLangClassification":0.81328125,"CSFDSKMovieReviewSentimentClassification":0.204785,"CEDRClassification":0.33586609989373006,"WinoGrande":0.00034,"IN22GenBitextMining":0.027835667984189724,"NusaTranslationBitextMining":0.47579554545454544,"TwitterURLCorpus":0.555186,"PpcPC":0.707991,"TwitterHjerneRetrieval":0.07561,"MalteseNewsClassification":0.085329,"STS12":0.277529,"LEMBPasskeyRetrieval":0.11750000000000001,"SwahiliNewsClassification":0.420166,"BiorxivClusteringP2P.v2":0.184333,"STS14":0.34892,"BornholmBitextMining":0.126096,"FaroeseSTS":0.238506,"WikiCitiesClustering":0.535697,"NusaXBitextMining":0.011335727272727273,"STSBenchmark":0.398376,"StackOverflowQA":0.0875,"MultiEURLEXMultilabelClassification":0.018576521739130436,"NorwegianCourtsBitextMining":0.679386,"PlscClusteringP2P.v2":0.647223,"ToxicConversationsClassification":0.553564,"BrazilianToxicTweetsClassification":0.172266,"IndicLangClassification":0.256979,"News21InstructionRetrieval":0.045684,"GujaratiNewsClassification":0.402883,"SiswatiNewsClassification":0.72625,"STS17":0.1855361818181818,"NollySentiBitextMining":0.13120375,"STS15":0.430519,"TempReasonL1":0.00237,"MedrxivClusteringP2P.v2":0.244953,"TRECCOVID":0.04049,"NepaliNewsClassification":0.476514,"ArmenianParaphrasePC":0.850956,"AmazonCounterfactualClassification":0.61965625,"KorHateSpeechMLClassification":0.029553,"AlloprofReranking":0.292571,"NordicLangClassification":0.607467,"StatcanDialogueDatasetRetrieval":0.0006850000000000001,"RuBQReranking":0.41654183937007777,"STSES":0.518092,"WikiClusteringP2P.v2":0.17003392857142857,"FinParaSTS":-0.027881000000000003,"OpusparcusPC":0.8456241666666666,"CataloniaTweetClassification":0.4471115,"GermanSTSBenchmark":0.4045065,"SwissJudgementClassification":0.5268516666666666,"MLQARetrieval":0.024309081632653058,"SwednClusteringP2P":0.0273845,"DBpediaClassification":0.804736,"HagridRetrieval":0.40701,"TswanaNewsClassification":0.225257,"WikipediaRetrievalMultilingual":0.0469325,"ArguAna":0.13021,"MIRACLRetrievalHardNegatives":0.0029683333333333332,"IsiZuluNewsClassification":0.235638,"DiaBlaBitextMining":0.019532,"LegalBenchCorporateLobbying":0.15849,"EstonianValenceClassification":0.3,"SinhalaNewsClassification":0.36582,"SprintDuplicateQuestions":0.218011,"CovidRetrieval":0.00066,"IndicCrosslingualSTS":-0.015549416666666663,"Core17InstructionRetrieval":-0.0356,"RTE3":0.867082,"AfriSentiClassification":0.3479156666666667,"PAC":0.617782,"VoyageMMarcoReranking":0.180633,"GreekLegalCodeClassification":0.090332,"KurdishSentimentClassification":0.60916,"Robust04InstructionRetrieval":0.013992,"TERRa":0.5317349296143791,"indonli":0.50876,"SpartQA":0.00034,"SentimentAnalysisHindi":0.368924,"ItaCaseholdClassification":0.347059,"OdiaNewsClassification":0.592629,"MasakhaNEWSClassification":0.4684738125,"FinancialPhrasebankClassification":0.535512,"ArXivHierarchicalClusteringP2P":0.500572,"CLSClusteringP2P.v2":0.119984,"CTKFactsNLI":0.7106005,"JSICK":0.51683,"STSB":0.3926585,"MacedonianTweetSentimentClassification":0.380421,"TweetTopicSingleClassification":0.441524,"HALClusteringS2S.v2":0.111733,"BulgarianStoreReviewSentimentClassfication":0.354945,"CzechProductReviewSentimentClassification":0.418457,"PawsXPairClassification":0.48768849999999997,"FilipinoShopeeReviewsClassification":0.238159,"SemRel24STS":0.26766275,"BigPatentClustering.v2":0.250952,"ArXivHierarchicalClusteringS2S":0.498966,"AILAStatutes":0.11527,"MultiHateClassification":0.5451727272727273,"MasakhaNEWSClusteringS2S":0.3074053125,"DalajClassification":0.49955,"T2Reranking":0.532562,"WebLINXCandidatesReranking":0.06474083333333333,"KorSarcasmClassification":0.53125,"NusaX-senti":0.4998125,"StackExchangeClustering.v2":0.413124,"PolEmo2.0-OUT":0.341903,"RomaniBibleClustering":0.375363,"STS22.v2":0.24322411111111109,"PoemSentimentClassification":0.3091165,"IndicGenBenchFloresBitextMining":0.0031194741379310343},"scoresByCustomGroup":{},"trainedOnTasks":["WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":178,"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":{"Classification":0.41305751236734656,"Clustering":0.272952544396415,"PairClassification":0.6941865616883117,"Reranking":0.30724180902777776,"Retrieval":0.15753306404387998,"InstructionReranking":0.005708666666666665,"BitextMining":0.21723538424684513,"MultilabelClassification":0.13074018260869566},"scoresByTask":{"ScalaClassification":0.50224625,"IndonesianIdClickbaitClassification":0.529187,"SICK-R":0.637455,"SCIDOCS":0.01569,"PunjabiNewsClassification":0.663694,"AlloProfClusteringS2S.v2":0.134389,"SlovakMovieReviewSentimentClassification":0.527539,"WikipediaRerankingMultilingual":0.5593266875,"NTREXBitextMining":0.18941978392484343,"NusaParagraphEmotionClassification":0.2540654,"MassiveIntentClassification":0.20188542156862746,"STS13":0.518854,"CyrillicTurkicLangClassification":0.150684,"CSFDSKMovieReviewSentimentClassification":0.207715,"XNLI":0.5725706071428572,"CEDRClassification":0.362699,"WinoGrande":0.32093,"IN22GenBitextMining":0.09524579841897232,"NusaTranslationBitextMining":0.6265365454545454,"TwitterURLCorpus":0.801466,"PpcPC":0.739628,"TwitterHjerneRetrieval":0.03698,"MalteseNewsClassification":0.066086,"STS12":0.551628,"LEMBPasskeyRetrieval":0.1575,"BUCC.v2":0.07659049999999999,"SwahiliNewsClassification":0.340869,"BiorxivClusteringP2P.v2":0.175322,"STS14":0.529933,"BornholmBitextMining":0.169844,"FaroeseSTS":0.399127,"WikiCitiesClustering":0.440848,"NusaXBitextMining":0.15543845454545455,"STSBenchmark":0.618289,"StackOverflowQA":0.19434,"MultiEURLEXMultilabelClassification":0.01377391304347826,"NorwegianCourtsBitextMining":0.86038,"PlscClusteringP2P.v2":0.626223,"ToxicConversationsClassification":0.572266,"BrazilianToxicTweetsClassification":0.163916,"IndicLangClassification":0.129029,"News21InstructionRetrieval":0.017566,"GujaratiNewsClassification":0.402731,"SiswatiNewsClassification":0.705,"NollySentiBitextMining":0.27895749999999997,"STS15":0.67847,"TempReasonL1":0.0114,"MedrxivClusteringP2P.v2":0.247567,"TRECCOVID":0.05195,"NepaliNewsClassification":0.504785,"ArmenianParaphrasePC":0.846707,"AmazonCounterfactualClassification":0.596275875,"KorHateSpeechMLClassification":0.047226,"BelebeleRetrieval":0.12685843085106382,"AlloprofReranking":0.34075,"NordicLangClassification":0.445567,"StatcanDialogueDatasetRetrieval":0.0248975,"RuBQReranking":0.17393,"STSES":0.576077,"WikiClusteringP2P.v2":0.200445,"FinParaSTS":0.11480950000000001,"OpusparcusPC":0.8473412499999999,"CataloniaTweetClassification":0.416421,"GermanSTSBenchmark":0.5561205,"SwissJudgementClassification":0.5102156666666667,"MLQARetrieval":0.12398734693877551,"SwednClusteringP2P":0.0431395,"DBpediaClassification":0.751709,"HagridRetrieval":0.78486,"TswanaNewsClassification":0.206776,"WikipediaRetrievalMultilingual":0.13832687500000002,"ArguAna":0.22512,"MIRACLRetrievalHardNegatives":0.027775,"IsiZuluNewsClassification":0.22367,"DiaBlaBitextMining":0.064561,"LegalBenchCorporateLobbying":0.4916,"EstonianValenceClassification":0.295599,"SinhalaNewsClassification":0.352441,"SprintDuplicateQuestions":0.734172,"CovidRetrieval":0.00086,"IndicCrosslingualSTS":0.04274591666666666,"Core17InstructionRetrieval":0.010112,"RTE3":0.88160225,"BibleNLPBitextMining":0.017957464371980675,"AfriSentiClassification":0.39002033333333336,"PAC":0.618216,"VoyageMMarcoReranking":0.145866,"GreekLegalCodeClassification":0.0424075,"KurdishSentimentClassification":0.556165,"Robust04InstructionRetrieval":-0.010552,"TERRa":0.519011,"indonli":0.489317,"SpartQA":0.00909,"SentimentAnalysisHindi":0.346178,"ItaCaseholdClassification":0.331674,"OdiaNewsClassification":0.547394,"MasakhaNEWSClassification":0.4622598125,"FinancialPhrasebankClassification":0.55932,"ArXivHierarchicalClusteringP2P":0.484272,"CLSClusteringP2P.v2":0.105595,"CTKFactsNLI":0.702541,"JSICK":0.329633,"STSB":0.0624615,"FloresBitextMining":0.14444648667053028,"MacedonianTweetSentimentClassification":0.308341,"TweetTopicSingleClassification":0.438925,"SIB200ClusteringS2S":0.05594352284263959,"HALClusteringS2S.v2":0.049587,"BulgarianStoreReviewSentimentClassfication":0.300549,"CzechProductReviewSentimentClassification":0.402637,"PawsXPairClassification":0.5016960714285714,"FilipinoShopeeReviewsClassification":0.25004899999999997,"SemRel24STS":0.34087191666666666,"BigPatentClustering.v2":0.218677,"ArXivHierarchicalClusteringS2S":0.471262,"AILAStatutes":0.09343,"MultiHateClassification":0.5634272727272728,"MasakhaNEWSClusteringS2S":0.3118516875,"DalajClassification":0.498198,"T2Reranking":0.550361,"WebLINXCandidatesReranking":0.07321716666666667,"KorSarcasmClassification":0.529883,"NusaX-senti":0.5085000000000001,"StackExchangeClustering.v2":0.418662,"Tatoeba":0.06098939285714285,"PolEmo2.0-OUT":0.332389,"RomaniBibleClustering":0.383457,"PoemSentimentClassification":0.28456950000000003,"IndicGenBenchFloresBitextMining":0.08369306896551724},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":179,"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":false,"paper":false,"model card":true},"opennessScore":4,"sentenceTransformersCompatible":true,"modalities":["text"],"languages":["English"],"citation":null,"memoryUsageMb":7.0,"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":0.002,"embeddingDim":64,"maxTokens":null,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"Classification":0.42254425739879997,"Clustering":0.3100354457090736,"PairClassification":0.7042627405476122,"Reranking":0.37377238541666674,"Retrieval":0.239922104601888,"InstructionReranking":0.0059246666666666675,"BitextMining":0.12188830410002824,"MultilabelClassification":0.11534252173913044},"scoresByTask":{"ScalaClassification":0.49948725,"IndonesianIdClickbaitClassification":0.516066,"SICK-R":0.6285583348143348,"SCIDOCS":0.08163000000000001,"PunjabiNewsClassification":0.679618,"AlloProfClusteringS2S.v2":0.184651,"SlovakMovieReviewSentimentClassification":0.513574,"WikipediaRerankingMultilingual":0.6471773125,"NTREXBitextMining":0.021431553235908143,"NusaParagraphEmotionClassification":0.2380382,"MassiveIntentClassification":0.20763021568627452,"STS13":0.7573113726697468,"CyrillicTurkicLangClassification":0.515283,"CSFDSKMovieReviewSentimentClassification":0.198535,"XNLI":0.5766367499999999,"CEDRClassification":0.328002,"WinoGrande":0.24792,"IN22GenBitextMining":0.010101768774703557,"NusaTranslationBitextMining":0.31238218181818184,"TwitterURLCorpus":0.7933675212612457,"PpcPC":0.722956,"TwitterHjerneRetrieval":0.01783,"MalteseNewsClassification":0.054332,"STS12":0.6207913034464432,"LEMBPasskeyRetrieval":0.3625,"BUCC.v2":0.005033,"SwahiliNewsClassification":0.353076,"BiorxivClusteringP2P.v2":0.280915,"STS14":0.6927997439795548,"BornholmBitextMining":0.165177,"FaroeseSTS":0.579554,"WikiCitiesClustering":0.612471,"NusaXBitextMining":0.06604945454545454,"STSBenchmark":0.7280800903257308,"StackOverflowQA":0.40921,"MultiEURLEXMultilabelClassification":0.019562608695652173,"NorwegianCourtsBitextMining":0.809211,"PlscClusteringP2P.v2":0.618944,"ToxicConversationsClassification":0.66591796875,"BrazilianToxicTweetsClassification":0.154639,"IndicLangClassification":0.440206,"News21InstructionRetrieval":0.036815,"GujaratiNewsClassification":0.370637,"SiswatiNewsClassification":0.42625,"NollySentiBitextMining":0.135274,"STS15":0.7632976845993337,"TempReasonL1":0.01706,"MedrxivClusteringP2P.v2":0.299898,"TRECCOVID":0.40475,"NepaliNewsClassification":0.477148,"ArmenianParaphrasePC":0.866421,"AmazonCounterfactualClassification":0.614806125,"KorHateSpeechMLClassification":0.020177,"BelebeleRetrieval":0.08062646276595745,"AlloprofReranking":0.367611,"NordicLangClassification":0.5519,"StatcanDialogueDatasetRetrieval":0.0124,"RuBQReranking":0.314447,"STSES":0.598271,"WikiClusteringP2P.v2":0.1973675,"FinParaSTS":0.003521,"OpusparcusPC":0.8603024166666667,"CataloniaTweetClassification":0.42381625,"GermanSTSBenchmark":0.607472,"SwissJudgementClassification":0.5116453333333334,"MLQARetrieval":0.05905183673469387,"SwednClusteringP2P":0.050483,"DBpediaClassification":0.691309,"HagridRetrieval":0.92819,"TswanaNewsClassification":0.222177,"WikipediaRetrievalMultilingual":0.21718625,"ArguAna":0.32622,"MIRACLRetrievalHardNegatives":0.04594333333333333,"IsiZuluNewsClassification":0.199202,"DiaBlaBitextMining":0.023106,"LegalBenchCorporateLobbying":0.75851,"EstonianValenceClassification":0.271149,"SinhalaNewsClassification":0.312988,"SprintDuplicateQuestions":0.8817695295243927,"CovidRetrieval":0.04683,"IndicCrosslingualSTS":0.0034404999999999995,"Core17InstructionRetrieval":0.020852,"RTE3":0.8652465,"BibleNLPBitextMining":0.0032302608695652176,"AfriSentiClassification":0.37324908333333334,"PAC":0.52117,"VoyageMMarcoReranking":0.239715,"GreekLegalCodeClassification":0.037670999999999996,"KurdishSentimentClassification":0.568143,"Robust04InstructionRetrieval":-0.039893,"TERRa":0.512359,"indonli":0.487299,"SpartQA":0.1455,"SentimentAnalysisHindi":0.362669,"ItaCaseholdClassification":0.229412,"OdiaNewsClassification":0.538806,"MasakhaNEWSClassification":0.4630501875,"FinancialPhrasebankClassification":0.589797,"ArXivHierarchicalClusteringP2P":0.515629,"CLSClusteringP2P.v2":0.119314,"CTKFactsNLI":0.71028,"JSICK":0.622587,"STSB":0.3942145,"FloresBitextMining":0.008758053945716217,"MacedonianTweetSentimentClassification":0.351097,"TweetTopicSingleClassification":0.498228,"SIB200ClusteringS2S":0.029964756345177663,"HALClusteringS2S.v2":0.054676,"BulgarianStoreReviewSentimentClassfication":0.318681,"CzechProductReviewSentimentClassification":0.417871,"PawsXPairClassification":0.47025242857142857,"FilipinoShopeeReviewsClassification":0.250122,"SemRel24STS":0.37865466666666664,"BigPatentClustering.v2":0.330763,"ArXivHierarchicalClusteringS2S":0.497898,"AILAStatutes":0.15724,"MultiHateClassification":0.5199454545454546,"MasakhaNEWSClusteringS2S":0.303693875,"DalajClassification":0.503041,"T2Reranking":0.607361,"WebLINXCandidatesReranking":0.06632300000000001,"KorSarcasmClassification":0.515332,"NusaX-senti":0.5151249999999999,"StackExchangeClustering.v2":0.491211,"Tatoeba":0.015961723214285715,"PolEmo2.0-OUT":0.267814,"RomaniBibleClustering":0.372688,"STS22.v2":0.3154857222222222,"PoemSentimentClassification":0.42772,"IndicGenBenchFloresBitextMining":0.008831956896551725},"scoresByCustomGroup":{},"trainedOnTasks":["MLQARetrieval"],"experiments":null},{"rank":180,"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":{"STS":0.49122061869532896,"Classification":0.44370256944513525,"Clustering":0.2740295001388008,"PairClassification":0.707225422077922,"Reranking":0.3584046527777778,"Retrieval":0.13118075264650778,"InstructionReranking":-0.028386333333333336,"BitextMining":0.15129399043778308,"MultilabelClassification":0.1230651304347826},"scoresByTask":{"ScalaClassification":0.50130625,"IndonesianIdClickbaitClassification":0.524222,"SICK-R":0.689386835022992,"SCIDOCS":0.02007,"PunjabiNewsClassification":0.580255,"AlloProfClusteringS2S.v2":0.12931,"SlovakMovieReviewSentimentClassification":0.53877,"WikipediaRerankingMultilingual":0.65949275,"NTREXBitextMining":0.048147170146137785,"NusaParagraphEmotionClassification":0.2577941,"MassiveIntentClassification":0.2809657156862745,"STS13":0.5604247097489131,"CyrillicTurkicLangClassification":0.60708,"CSFDSKMovieReviewSentimentClassification":0.212061,"XNLI":0.5776214642857143,"CEDRClassification":0.311158,"WinoGrande":0.03677,"IN22GenBitextMining":0.035905679841897235,"NusaTranslationBitextMining":0.49093318181818185,"TwitterURLCorpus":0.775046,"PpcPC":0.729883,"TwitterHjerneRetrieval":0.01961,"MalteseNewsClassification":0.082586,"STS12":0.6871669873972587,"LEMBPasskeyRetrieval":0.16,"BUCC.v2":0.0099835,"SwahiliNewsClassification":0.391016,"BiorxivClusteringP2P.v2":0.189942,"STS14":0.5880575077741524,"BornholmBitextMining":0.208996,"FaroeseSTS":0.599617,"WikiCitiesClustering":0.479266,"NusaXBitextMining":0.05321263636363637,"STSBenchmark":0.6756341643518167,"StackOverflowQA":0.28957,"MultiEURLEXMultilabelClassification":0.017875652173913043,"NorwegianCourtsBitextMining":0.87406,"PlscClusteringP2P.v2":0.608742,"ToxicConversationsClassification":0.590869,"BrazilianToxicTweetsClassification":0.177246,"IndicLangClassification":0.543159,"News21InstructionRetrieval":-0.007081,"GujaratiNewsClassification":0.410243,"SiswatiNewsClassification":0.61625,"STS17":0.34092336363636366,"NollySentiBitextMining":0.1546485,"STS15":0.7374453589715445,"TempReasonL1":0.01085,"MedrxivClusteringP2P.v2":0.256811,"TRECCOVID":0.13531,"NepaliNewsClassification":0.536084,"ArmenianParaphrasePC":0.886794,"AmazonCounterfactualClassification":0.617049125,"KorHateSpeechMLClassification":0.02646,"BelebeleRetrieval":0.06471577127659575,"AlloprofReranking":0.368328,"NordicLangClassification":0.490867,"StatcanDialogueDatasetRetrieval":0.0082875,"RuBQReranking":0.336952,"STSES":0.641988,"WikiClusteringP2P.v2":0.18681,"FinParaSTS":0.0161565,"OpusparcusPC":0.8626165,"CataloniaTweetClassification":0.41739475,"GermanSTSBenchmark":0.5798185,"SwissJudgementClassification":0.5280819999999999,"MLQARetrieval":0.044621734693877556,"SwednClusteringP2P":0.058200999999999996,"DBpediaClassification":0.603174,"HagridRetrieval":0.49483,"TswanaNewsClassification":0.227105,"WikipediaRetrievalMultilingual":0.217491875,"ArguAna":0.18862,"MIRACLRetrievalHardNegatives":0.013666666666666667,"IsiZuluNewsClassification":0.244016,"DiaBlaBitextMining":0.029821,"LegalBenchCorporateLobbying":0.54185,"EstonianValenceClassification":0.276284,"SinhalaNewsClassification":0.381934,"SprintDuplicateQuestions":0.836486,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.07110283333333334,"Core17InstructionRetrieval":-0.018436,"RTE3":0.86945375,"BibleNLPBitextMining":0.002366593599033816,"AfriSentiClassification":0.36516008333333333,"PAC":0.599392,"VoyageMMarcoReranking":0.217336,"GreekLegalCodeClassification":0.0619385,"KurdishSentimentClassification":0.602265,"Robust04InstructionRetrieval":-0.059642,"TERRa":0.515888,"indonli":0.482459,"SpartQA":0.00626,"SentimentAnalysisHindi":0.394352,"ItaCaseholdClassification":0.584163,"OdiaNewsClassification":0.58133,"MasakhaNEWSClassification":0.45563225,"FinancialPhrasebankClassification":0.526634,"ArXivHierarchicalClusteringP2P":0.501141,"CLSClusteringP2P.v2":0.10681,"CTKFactsNLI":0.723887,"JSICK":0.661369,"STSB":0.303254,"FloresBitextMining":0.024858638244953154,"MacedonianTweetSentimentClassification":0.356453,"TweetTopicSingleClassification":0.361843,"SIB200ClusteringS2S":0.03235231472081218,"HALClusteringS2S.v2":0.047736,"BulgarianStoreReviewSentimentClassfication":0.339011,"CzechProductReviewSentimentClassification":0.433887,"PawsXPairClassification":0.5193449285714286,"FilipinoShopeeReviewsClassification":0.24541000000000002,"SemRel24STS":0.40961241666666665,"BigPatentClustering.v2":0.239858,"ArXivHierarchicalClusteringS2S":0.501554,"AILAStatutes":0.10873,"MultiHateClassification":0.5430545454545455,"MasakhaNEWSClusteringS2S":0.2953916875,"DalajClassification":0.501351,"T2Reranking":0.524755,"WebLINXCandidatesReranking":0.04356416666666666,"KorSarcasmClassification":0.520312,"NusaX-senti":0.5352291666666666,"StackExchangeClustering.v2":0.388088,"Tatoeba":0.020016044642857143,"PolEmo2.0-OUT":0.312753,"RomaniBibleClustering":0.362459,"STS22.v2":0.2975727222222222,"PoemSentimentClassification":0.38305900000000004,"IndicGenBenchFloresBitextMining":0.013872931034482758},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":181,"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":{"Classification":0.43173509153142225,"Clustering":0.31698991816137145,"PairClassification":0.699845591991342,"Reranking":0.3437736145833334,"Retrieval":0.23490222464793645,"InstructionReranking":-0.014577666666666664,"BitextMining":0.13628995529863713,"MultilabelClassification":0.1265421043478261},"scoresByTask":{"ScalaClassification":0.5001585,"IndonesianIdClickbaitClassification":0.521423,"SICK-R":0.6898528351149499,"SCIDOCS":0.10465,"PunjabiNewsClassification":0.669427,"AlloProfClusteringS2S.v2":0.194888,"SlovakMovieReviewSentimentClassification":0.510693,"WikipediaRerankingMultilingual":0.5639501875,"NTREXBitextMining":0.07344898956158663,"NusaParagraphEmotionClassification":0.2277707,"MassiveIntentClassification":0.2563635294117647,"STS13":0.740302851337788,"CyrillicTurkicLangClassification":0.486719,"CSFDSKMovieReviewSentimentClassification":0.189014,"XNLI":0.5487624999999999,"CEDRClassification":0.326142,"WinoGrande":0.1889,"IN22GenBitextMining":0.027096221343873517,"NusaTranslationBitextMining":0.3748055454545455,"TwitterURLCorpus":0.799426,"PpcPC":0.683466,"TwitterHjerneRetrieval":0.03383,"MalteseNewsClassification":0.087723,"STS12":0.5850274640611661,"LEMBPasskeyRetrieval":0.3,"BUCC.v2":0.0402,"SwahiliNewsClassification":0.361133,"BiorxivClusteringP2P.v2":0.272934,"STS14":0.6618263558486297,"BornholmBitextMining":0.134636,"FaroeseSTS":0.513471,"WikiCitiesClustering":0.634173,"NusaXBitextMining":0.10007172727272727,"STSBenchmark":0.7140167034949342,"StackOverflowQA":0.37944,"MultiEURLEXMultilabelClassification":0.016696521739130436,"NorwegianCourtsBitextMining":0.719625,"PlscClusteringP2P.v2":0.650697,"ToxicConversationsClassification":0.551904,"BrazilianToxicTweetsClassification":0.165723,"IndicLangClassification":0.453938,"News21InstructionRetrieval":-0.011321,"GujaratiNewsClassification":0.384977,"SiswatiNewsClassification":0.73125,"NollySentiBitextMining":0.17232124999999998,"STS15":0.7554712054246464,"TempReasonL1":0.00224,"MedrxivClusteringP2P.v2":0.321822,"TRECCOVID":0.35647,"NepaliNewsClassification":0.475684,"ArmenianParaphrasePC":0.866215,"AmazonCounterfactualClassification":0.53546775,"KorHateSpeechMLClassification":0.036426,"BelebeleRetrieval":0.12546593085106383,"AlloprofReranking":0.437337,"NordicLangClassification":0.476167,"StatcanDialogueDatasetRetrieval":0.104325,"RuBQReranking":0.173911,"STSES":0.547452,"WikiClusteringP2P.v2":0.20879085714285714,"FinParaSTS":0.07904900000000001,"OpusparcusPC":0.8381223333333333,"CataloniaTweetClassification":0.4122975,"GermanSTSBenchmark":0.48452249999999997,"SwissJudgementClassification":0.537065,"MLQARetrieval":0.09580591836734693,"SwednClusteringP2P":0.027699,"DBpediaClassification":0.666504,"HagridRetrieval":0.98479,"TswanaNewsClassification":0.193429,"WikipediaRetrievalMultilingual":0.22376375,"ArguAna":0.3726900000000001,"MIRACLRetrievalHardNegatives":0.043159444444444445,"IsiZuluNewsClassification":0.235638,"DiaBlaBitextMining":0.048983,"LegalBenchCorporateLobbying":0.73863,"EstonianValenceClassification":0.268215,"SinhalaNewsClassification":0.332812,"SprintDuplicateQuestions":0.912886,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.020156333333333335,"Core17InstructionRetrieval":0.00902,"RTE3":0.85012975,"BibleNLPBitextMining":0.004970567028985507,"AfriSentiClassification":0.3653685,"PAC":0.603099,"VoyageMMarcoReranking":0.221353,"GreekLegalCodeClassification":0.038378999999999996,"KurdishSentimentClassification":0.567086,"Robust04InstructionRetrieval":-0.041432,"TERRa":0.476053,"indonli":0.481882,"SpartQA":0.00602,"SentimentAnalysisHindi":0.359813,"ItaCaseholdClassification":0.48009,"OdiaNewsClassification":0.572549,"MasakhaNEWSClassification":0.4647445625,"FinancialPhrasebankClassification":0.617359,"ArXivHierarchicalClusteringP2P":0.533533,"CLSClusteringP2P.v2":0.0984,"CTKFactsNLI":0.695697,"JSICK":0.498626,"STSB":0.25712,"FloresBitextMining":0.03982232111465275,"MacedonianTweetSentimentClassification":0.342757,"TweetTopicSingleClassification":0.47342,"SIB200ClusteringS2S":0.04083739593908629,"HALClusteringS2S.v2":0.095457,"BulgarianStoreReviewSentimentClassfication":0.351099,"CzechProductReviewSentimentClassification":0.381006,"PawsXPairClassification":0.5456619285714286,"FilipinoShopeeReviewsClassification":0.2368655,"SemRel24STS":0.29770925,"BigPatentClustering.v2":0.269023,"ArXivHierarchicalClusteringS2S":0.513814,"AILAStatutes":0.16806,"MultiHateClassification":0.5344727272727273,"MasakhaNEWSClusteringS2S":0.3166974375,"DalajClassification":0.50045,"T2Reranking":0.578334,"WebLINXCandidatesReranking":0.0877565,"KorSarcasmClassification":0.551172,"NusaX-senti":0.4758541666666667,"StackExchangeClustering.v2":0.50878,"Tatoeba":0.02408461607142857,"PolEmo2.0-OUT":0.282591,"RomaniBibleClustering":0.384293,"STS22.v2":0.41730394444444446,"PoemSentimentClassification":0.3883835,"IndicGenBenchFloresBitextMining":0.01170418103448276},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":182,"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":{"STS":0.3620368360164141,"Classification":0.43814143444935855,"Clustering":0.2594653288388325,"Reranking":0.33506855610099245,"Retrieval":0.11294905007156528,"InstructionReranking":-0.006057,"MultilabelClassification":0.13110742024673105},"scoresByTask":{"ScalaClassification":0.5010617500000001,"IndonesianIdClickbaitClassification":0.543179,"SICK-R":0.567039,"SCIDOCS":0.00483,"PunjabiNewsClassification":0.547134,"AlloProfClusteringS2S.v2":0.139899,"SlovakMovieReviewSentimentClassification":0.527881,"WikipediaRerankingMultilingual":0.5124634375,"NusaParagraphEmotionClassification":0.2641078,"MassiveIntentClassification":0.25774292156862744,"STS13":0.522222,"CyrillicTurkicLangClassification":0.782958984375,"CSFDSKMovieReviewSentimentClassification":0.211084,"CEDRClassification":0.3619022316684378,"WinoGrande":0.00617,"IN22GenBitextMining":0.03625612845849802,"NusaTranslationBitextMining":0.415498,"TwitterURLCorpus":0.637764,"PpcPC":0.710019,"TwitterHjerneRetrieval":0.01303,"MalteseNewsClassification":0.063822,"STS12":0.408283,"LEMBPasskeyRetrieval":0.125,"SwahiliNewsClassification":0.334326,"BiorxivClusteringP2P.v2":0.166814,"STS14":0.467599,"BornholmBitextMining":0.133315,"FaroeseSTS":0.509306,"WikiCitiesClustering":0.366417,"NusaXBitextMining":0.0045987272727272726,"STSBenchmark":0.559747,"StackOverflowQA":0.1399,"MultiEURLEXMultilabelClassification":0.017240869565217393,"NorwegianCourtsBitextMining":0.790058,"PlscClusteringP2P.v2":0.643485,"ToxicConversationsClassification":0.588867,"BrazilianToxicTweetsClassification":0.181104,"IndicLangClassification":0.159488,"News21InstructionRetrieval":-0.014396,"GujaratiNewsClassification":0.401669,"SiswatiNewsClassification":0.71375,"STS17":0.24897018181818184,"NollySentiBitextMining":0.15511550000000002,"STS15":0.606444,"TempReasonL1":0.00879,"MedrxivClusteringP2P.v2":0.240616,"TRECCOVID":0.15182,"NepaliNewsClassification":0.532422,"ArmenianParaphrasePC":0.830198,"AmazonCounterfactualClassification":0.65609625,"KorHateSpeechMLClassification":0.031468,"BelebeleRetrieval":0.03214191489361702,"AlloprofReranking":0.328206,"NordicLangClassification":0.5934,"StatcanDialogueDatasetRetrieval":0.004787499999999999,"RuBQReranking":0.42575739910595456,"STSES":0.5268,"WikiClusteringP2P.v2":0.1746745,"FinParaSTS":0.0007955000000000002,"OpusparcusPC":0.8613714166666666,"CataloniaTweetClassification":0.44543675,"GermanSTSBenchmark":0.4249885,"SwissJudgementClassification":0.5065543333333333,"MLQARetrieval":0.01982765306122449,"SwednClusteringP2P":0.0080415,"DBpediaClassification":0.747656,"HagridRetrieval":0.63326,"TswanaNewsClassification":0.231622,"WikipediaRetrievalMultilingual":0.1247775,"ArguAna":0.15131,"MIRACLRetrievalHardNegatives":0.011428333333333334,"IsiZuluNewsClassification":0.232846,"DiaBlaBitextMining":0.013256,"LegalBenchCorporateLobbying":0.40705,"EstonianValenceClassification":0.29291,"SinhalaNewsClassification":0.37749,"SprintDuplicateQuestions":0.331971,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.014726333333333334,"Core17InstructionRetrieval":0.002192,"RTE3":0.86977425,"AfriSentiClassification":0.3579928333333333,"PAC":0.579815,"VoyageMMarcoReranking":0.155515,"GreekLegalCodeClassification":0.037036,"KurdishSentimentClassification":0.615702,"Robust04InstructionRetrieval":-0.005967,"TERRa":0.5302144631004808,"indonli":0.497298,"SpartQA":0.0581,"SentimentAnalysisHindi":0.363005,"ItaCaseholdClassification":0.363348,"OdiaNewsClassification":0.595867,"MasakhaNEWSClassification":0.4300919375,"FinancialPhrasebankClassification":0.553401,"ArXivHierarchicalClusteringP2P":0.488063,"CLSClusteringP2P.v2":0.064014,"CTKFactsNLI":0.7088825,"JSICK":0.29488,"STSB":0.196603,"MacedonianTweetSentimentClassification":0.424583,"TweetTopicSingleClassification":0.35824,"SIB200ClusteringS2S":0.0308337614213198,"HALClusteringS2S.v2":0.034104,"BulgarianStoreReviewSentimentClassfication":0.345604,"CzechProductReviewSentimentClassification":0.415381,"PawsXPairClassification":0.47324371428571427,"FilipinoShopeeReviewsClassification":0.2479005,"SemRel24STS":0.22622141666666665,"BigPatentClustering.v2":0.223879,"ArXivHierarchicalClusteringS2S":0.490006,"AILAStatutes":0.14086,"MultiHateClassification":0.5408454545454545,"MasakhaNEWSClusteringS2S":0.3000785,"DalajClassification":0.501914,"T2Reranking":0.520743,"WebLINXCandidatesReranking":0.06772650000000001,"KorSarcasmClassification":0.544531,"NusaX-senti":0.5135416666666667,"StackExchangeClustering.v2":0.404085,"PolEmo2.0-OUT":0.308907,"RomaniBibleClustering":0.376435,"STS22.v2":0.24741711111111112,"PoemSentimentClassification":0.2926925,"IndicGenBenchFloresBitextMining":0.002081939655172414},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":183,"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":{"STS":0.4250824114377596,"Classification":0.4086462543490652,"Clustering":0.2641857264548586,"PairClassification":0.6875541125541126,"Reranking":0.3014378611111111,"Retrieval":0.12741415883167687,"InstructionReranking":0.010652333333333331,"BitextMining":0.19050259872286654,"MultilabelClassification":0.12108941739130434},"scoresByTask":{"ScalaClassification":0.5016355,"IndonesianIdClickbaitClassification":0.536851,"SICK-R":0.5764441663261227,"SCIDOCS":0.01731,"PunjabiNewsClassification":0.63121,"AlloProfClusteringS2S.v2":0.173833,"SlovakMovieReviewSentimentClassification":0.525488,"WikipediaRerankingMultilingual":0.5493465,"NTREXBitextMining":0.14142890866388308,"NusaParagraphEmotionClassification":0.2593581,"MassiveIntentClassification":0.21305177450980392,"STS13":0.5195037157769884,"CyrillicTurkicLangClassification":0.154932,"CSFDSKMovieReviewSentimentClassification":0.20415,"XNLI":0.5578369642857143,"CEDRClassification":0.344846,"WinoGrande":0.03193,"IN22GenBitextMining":0.08305628656126482,"NusaTranslationBitextMining":0.559888909090909,"TwitterURLCorpus":0.747241,"PpcPC":0.688161,"TwitterHjerneRetrieval":0.01782,"MalteseNewsClassification":0.035568,"STS12":0.6967060431422327,"LEMBPasskeyRetrieval":0.195,"BUCC.v2":0.050179749999999995,"SwahiliNewsClassification":0.366797,"BiorxivClusteringP2P.v2":0.150496,"STS14":0.5736607721958864,"BornholmBitextMining":0.181535,"FaroeseSTS":0.497817,"WikiCitiesClustering":0.396064,"NusaXBitextMining":0.13965845454545456,"STSBenchmark":0.6159242681001437,"StackOverflowQA":0.20241,"MultiEURLEXMultilabelClassification":0.01552608695652174,"NorwegianCourtsBitextMining":0.802632,"PlscClusteringP2P.v2":0.627375,"ToxicConversationsClassification":0.522803,"BrazilianToxicTweetsClassification":0.175781,"IndicLangClassification":0.140003,"News21InstructionRetrieval":0.029258,"GujaratiNewsClassification":0.400835,"SiswatiNewsClassification":0.72375,"STS17":0.28456,"NollySentiBitextMining":0.23553375,"STS15":0.700994395240558,"TempReasonL1":0.01212,"MedrxivClusteringP2P.v2":0.231878,"TRECCOVID":0.07265,"NepaliNewsClassification":0.503711,"ArmenianParaphrasePC":0.845988,"AmazonCounterfactualClassification":0.578375625,"KorHateSpeechMLClassification":0.033726,"BelebeleRetrieval":0.09429039893617021,"AlloprofReranking":0.335362,"NordicLangClassification":0.463433,"StatcanDialogueDatasetRetrieval":0.007915,"RuBQReranking":0.172291,"STSES":0.562651,"WikiClusteringP2P.v2":0.18917478571428573,"FinParaSTS":0.0396855,"OpusparcusPC":0.8419674166666667,"CataloniaTweetClassification":0.428043,"GermanSTSBenchmark":0.5770835000000001,"SwissJudgementClassification":0.527835,"MLQARetrieval":0.09089091836734695,"SwednClusteringP2P":0.018114,"DBpediaClassification":0.626074,"HagridRetrieval":0.71708,"TswanaNewsClassification":0.204723,"WikipediaRetrievalMultilingual":0.152621875,"ArguAna":0.15921,"MIRACLRetrievalHardNegatives":0.020506666666666666,"IsiZuluNewsClassification":0.232181,"DiaBlaBitextMining":0.040265,"LegalBenchCorporateLobbying":0.36321,"EstonianValenceClassification":0.284841,"SinhalaNewsClassification":0.363672,"SprintDuplicateQuestions":0.780327,"CovidRetrieval":0.00083,"IndicCrosslingualSTS":0.0704365,"Core17InstructionRetrieval":-0.013969,"RTE3":0.885576,"BibleNLPBitextMining":0.014026518719806763,"AfriSentiClassification":0.39747249999999995,"PAC":0.585317,"VoyageMMarcoReranking":0.146997,"GreekLegalCodeClassification":0.035718,"KurdishSentimentClassification":0.565325,"Robust04InstructionRetrieval":0.016668,"TERRa":0.490447,"indonli":0.501773,"SpartQA":0.01677,"SentimentAnalysisHindi":0.358538,"ItaCaseholdClassification":0.422624,"OdiaNewsClassification":0.576356,"MasakhaNEWSClassification":0.4392249375,"FinancialPhrasebankClassification":0.460071,"ArXivHierarchicalClusteringP2P":0.483142,"CLSClusteringP2P.v2":0.096483,"CTKFactsNLI":0.7075415,"JSICK":0.322501,"STSB":0.0616935,"FloresBitextMining":0.09567464824205545,"MacedonianTweetSentimentClassification":0.310711,"TweetTopicSingleClassification":0.351211,"SIB200ClusteringS2S":0.05759283756345178,"HALClusteringS2S.v2":0.04068,"BulgarianStoreReviewSentimentClassfication":0.298901,"CzechProductReviewSentimentClassification":0.400488,"PawsXPairClassification":0.5162363571428571,"FilipinoShopeeReviewsClassification":0.260303,"SemRel24STS":0.3586278333333333,"BigPatentClustering.v2":0.214355,"ArXivHierarchicalClusteringS2S":0.471701,"AILAStatutes":0.12089,"MultiHateClassification":0.5453,"MasakhaNEWSClusteringS2S":0.293277,"DalajClassification":0.501351,"T2Reranking":0.540483,"WebLINXCandidatesReranking":0.06414766666666667,"KorSarcasmClassification":0.549561,"NusaX-senti":0.501375,"StackExchangeClustering.v2":0.414071,"Tatoeba":0.04547541964285714,"PolEmo2.0-OUT":0.326316,"RomaniBibleClustering":0.368735,"STS22.v2":0.3430293888888889,"PoemSentimentClassification":0.2918725,"IndicGenBenchFloresBitextMining":0.08717913793103449},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":184,"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":{"STS":0.35377685432449496,"Classification":0.4537326896098899,"Clustering":0.27006524886693256,"Reranking":0.2956004990573904,"Retrieval":0.055365238095238106,"InstructionReranking":-0.023731000000000002,"MultilabelClassification":0.1264642185094488},"scoresByTask":{"ScalaClassification":0.50230725,"IndonesianIdClickbaitClassification":0.555779,"SICK-R":0.499409,"SCIDOCS":0.00183,"PunjabiNewsClassification":0.546497,"AlloProfClusteringS2S.v2":0.164932,"SlovakMovieReviewSentimentClassification":0.519775,"WikipediaRerankingMultilingual":0.426397,"NusaParagraphEmotionClassification":0.2792091,"MassiveIntentClassification":0.2659376862745098,"STS13":0.466508,"CyrillicTurkicLangClassification":0.888232421875,"CSFDSKMovieReviewSentimentClassification":0.200977,"CEDRClassification":0.34139213602550483,"WinoGrande":0.00028,"IN22GenBitextMining":0.006635519762845849,"NusaTranslationBitextMining":0.3921053636363636,"TwitterURLCorpus":0.648262,"PpcPC":0.67082,"TwitterHjerneRetrieval":0.01076,"MalteseNewsClassification":0.057684,"STS12":0.447604,"LEMBPasskeyRetrieval":0.0175,"SwahiliNewsClassification":0.430762,"BiorxivClusteringP2P.v2":0.150437,"STS14":0.38153,"BornholmBitextMining":0.141073,"FaroeseSTS":0.471077,"WikiCitiesClustering":0.513324,"NusaXBitextMining":0.012930363636363636,"STSBenchmark":0.413236,"StackOverflowQA":0.06629,"MultiEURLEXMultilabelClassification":0.016886956521739133,"NorwegianCourtsBitextMining":0.788304,"PlscClusteringP2P.v2":0.651899,"ToxicConversationsClassification":0.566113,"BrazilianToxicTweetsClassification":0.188867,"IndicLangClassification":0.719058,"News21InstructionRetrieval":-0.007926,"GujaratiNewsClassification":0.438392,"SiswatiNewsClassification":0.7325,"STS17":0.22934036363636362,"NollySentiBitextMining":0.1236,"STS15":0.548474,"TempReasonL1":0.00156,"MedrxivClusteringP2P.v2":0.238979,"TRECCOVID":0.03556,"NepaliNewsClassification":0.401123,"ArmenianParaphrasePC":0.865162,"AmazonCounterfactualClassification":0.6134085,"KorHateSpeechMLClassification":0.027491,"BelebeleRetrieval":0.021128749999999998,"AlloprofReranking":0.278148,"NordicLangClassification":0.5791,"StatcanDialogueDatasetRetrieval":0.0025225,"RuBQReranking":0.3401199943443422,"STSES":0.469185,"WikiClusteringP2P.v2":0.18566692857142858,"FinParaSTS":0.0499315,"OpusparcusPC":0.8478555833333333,"CataloniaTweetClassification":0.449935,"GermanSTSBenchmark":0.373257,"SwissJudgementClassification":0.5246339999999999,"MLQARetrieval":0.014814285714285714,"SwednClusteringP2P":0.0302425,"DBpediaClassification":0.735254,"HagridRetrieval":0.4574,"TswanaNewsClassification":0.218686,"WikipediaRetrievalMultilingual":0.034333749999999996,"ArguAna":0.12391,"MIRACLRetrievalHardNegatives":0.004345,"IsiZuluNewsClassification":0.232979,"DiaBlaBitextMining":0.006173,"LegalBenchCorporateLobbying":0.10449,"EstonianValenceClassification":0.296455,"SinhalaNewsClassification":0.401416,"SprintDuplicateQuestions":0.355062,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.013330083333333334,"Core17InstructionRetrieval":-0.041644,"RTE3":0.87169225,"AfriSentiClassification":0.36424391666666667,"PAC":0.62786,"VoyageMMarcoReranking":0.163652,"GreekLegalCodeClassification":0.0626225,"KurdishSentimentClassification":0.567438,"Robust04InstructionRetrieval":-0.021623,"TERRa":0.5648734097311885,"indonli":0.513144,"SpartQA":0.00278,"SentimentAnalysisHindi":0.371117,"ItaCaseholdClassification":0.406787,"OdiaNewsClassification":0.457095,"MasakhaNEWSClassification":0.4653591875,"FinancialPhrasebankClassification":0.502827,"ArXivHierarchicalClusteringP2P":0.492349,"CLSClusteringP2P.v2":0.061186,"CTKFactsNLI":0.7243185000000001,"JSICK":0.507116,"STSB":0.262626,"MacedonianTweetSentimentClassification":0.396137,"TweetTopicSingleClassification":0.413822,"SIB200ClusteringS2S":0.02841855329949239,"HALClusteringS2S.v2":0.043155,"BulgarianStoreReviewSentimentClassfication":0.429121,"CzechProductReviewSentimentClassification":0.414111,"PawsXPairClassification":0.5133381428571429,"FilipinoShopeeReviewsClassification":0.242529,"SemRel24STS":0.31617033333333333,"BigPatentClustering.v2":0.201112,"ArXivHierarchicalClusteringS2S":0.47444,"AILAStatutes":0.09707,"MultiHateClassification":0.548209090909091,"MasakhaNEWSClusteringS2S":0.293677,"DalajClassification":0.503041,"T2Reranking":0.50294,"WebLINXCandidatesReranking":0.062346000000000006,"KorSarcasmClassification":0.524707,"NusaX-senti":0.5295625,"StackExchangeClustering.v2":0.407468,"PolEmo2.0-OUT":0.302227,"RomaniBibleClustering":0.383758,"STS22.v2":0.2116353888888889,"PoemSentimentClassification":0.2831595,"IndicGenBenchFloresBitextMining":0.00014853448275862067},"scoresByCustomGroup":{},"trainedOnTasks":["WikipediaRerankingMultilingual","WikipediaRetrievalMultilingual"],"experiments":null},{"rank":185,"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":0.3213500206146857,"meanTaskType":0.26764508576187257,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{"STS":0.4149442836703288,"Classification":0.41879420649069354,"Clustering":0.25581940161575417,"PairClassification":0.6864569956709957,"Reranking":0.28052837847222223,"Retrieval":0.09186226230513876,"InstructionReranking":-0.0017116666666666662,"BitextMining":0.14541754508099555,"MultilabelClassification":0.1166943652173913},"scoresByTask":{"ScalaClassification":0.5010255,"IndonesianIdClickbaitClassification":0.541908,"SICK-R":0.6580163441928238,"SCIDOCS":0.0113,"PunjabiNewsClassification":0.590446,"AlloProfClusteringS2S.v2":0.124566,"SlovakMovieReviewSentimentClassification":0.520264,"WikipediaRerankingMultilingual":0.4571649375,"NTREXBitextMining":0.07273375939457202,"NusaParagraphEmotionClassification":0.2387213,"MassiveIntentClassification":0.22970676470588236,"STS13":0.5223198766098021,"CyrillicTurkicLangClassification":0.155371,"CSFDSKMovieReviewSentimentClassification":0.206396,"XNLI":0.5627337499999999,"CEDRClassification":0.319501,"WinoGrande":0.01657,"IN22GenBitextMining":0.06869447233201581,"NusaTranslationBitextMining":0.4580168181818182,"TwitterURLCorpus":0.78233,"PpcPC":0.701083,"TwitterHjerneRetrieval":0.0193,"MalteseNewsClassification":0.059904,"STS12":0.6300297824477175,"LEMBPasskeyRetrieval":0.0825,"BUCC.v2":0.015297749999999999,"SwahiliNewsClassification":0.370947,"BiorxivClusteringP2P.v2":0.122309,"STS14":0.592261024017655,"BornholmBitextMining":0.188536,"FaroeseSTS":0.537679,"WikiCitiesClustering":0.369448,"NusaXBitextMining":0.06253745454545455,"STSBenchmark":0.6116768766134144,"StackOverflowQA":0.11699,"MultiEURLEXMultilabelClassification":0.011707826086956523,"NorwegianCourtsBitextMining":0.745906,"PlscClusteringP2P.v2":0.629723,"ToxicConversationsClassification":0.548926,"BrazilianToxicTweetsClassification":0.169482,"IndicLangClassification":0.143823,"News21InstructionRetrieval":0.011152,"GujaratiNewsClassification":0.406449,"SiswatiNewsClassification":0.70125,"STS17":0.31685736363636363,"NollySentiBitextMining":0.1493455,"STS15":0.7001912156519297,"TempReasonL1":0.01527,"MedrxivClusteringP2P.v2":0.216372,"TRECCOVID":0.05276,"NepaliNewsClassification":0.526465,"ArmenianParaphrasePC":0.839069,"AmazonCounterfactualClassification":0.62820825,"KorHateSpeechMLClassification":0.022877,"BelebeleRetrieval":0.0573155585106383,"AlloprofReranking":0.291205,"NordicLangClassification":0.467733,"StatcanDialogueDatasetRetrieval":0.0015574999999999999,"RuBQReranking":0.177653,"STSES":0.494058,"WikiClusteringP2P.v2":0.18564864285714286,"FinParaSTS":-0.0170365,"OpusparcusPC":0.8555989166666667,"CataloniaTweetClassification":0.42408275,"GermanSTSBenchmark":0.5156295,"SwissJudgementClassification":0.532957,"MLQARetrieval":0.05491551020408163,"SwednClusteringP2P":0.014242000000000001,"DBpediaClassification":0.713672,"HagridRetrieval":0.69239,"TswanaNewsClassification":0.206982,"WikipediaRetrievalMultilingual":0.065324375,"ArguAna":0.1342,"MIRACLRetrievalHardNegatives":0.01228777777777778,"IsiZuluNewsClassification":0.230319,"DiaBlaBitextMining":0.021518,"LegalBenchCorporateLobbying":0.20906,"EstonianValenceClassification":0.279951,"SinhalaNewsClassification":0.36543,"SprintDuplicateQuestions":0.677478,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.0014872500000000014,"Core17InstructionRetrieval":-0.002107,"RTE3":0.8627795,"BibleNLPBitextMining":0.003563098429951691,"AfriSentiClassification":0.3937078333333333,"PAC":0.608138,"VoyageMMarcoReranking":0.143334,"GreekLegalCodeClassification":0.0278565,"KurdishSentimentClassification":0.621691,"Robust04InstructionRetrieval":-0.01418,"TERRa":0.556041,"indonli":0.49614,"SpartQA":0.01085,"SentimentAnalysisHindi":0.36875,"ItaCaseholdClassification":0.406787,"OdiaNewsClassification":0.57056,"MasakhaNEWSClassification":0.445898875,"FinancialPhrasebankClassification":0.527871,"ArXivHierarchicalClusteringP2P":0.48551,"CLSClusteringP2P.v2":0.080807,"CTKFactsNLI":0.7096615,"JSICK":0.364369,"STSB":0.082942,"FloresBitextMining":0.04083964942528735,"MacedonianTweetSentimentClassification":0.290167,"TweetTopicSingleClassification":0.426816,"SIB200ClusteringS2S":0.043730532994923854,"HALClusteringS2S.v2":0.043525,"BulgarianStoreReviewSentimentClassfication":0.326374,"CzechProductReviewSentimentClassification":0.408447,"PawsXPairClassification":0.5081122857142857,"FilipinoShopeeReviewsClassification":0.2686525,"SemRel24STS":0.35897941666666666,"BigPatentClustering.v2":0.229192,"ArXivHierarchicalClusteringS2S":0.462379,"AILAStatutes":0.10093,"MultiHateClassification":0.5472272727272727,"MasakhaNEWSClusteringS2S":0.30135525,"DalajClassification":0.50259,"T2Reranking":0.545896,"WebLINXCandidatesReranking":0.06791733333333333,"KorSarcasmClassification":0.531104,"NusaX-senti":0.5108958333333333,"StackExchangeClustering.v2":0.395394,"Tatoeba":0.03149017857142857,"PolEmo2.0-OUT":0.338057,"RomaniBibleClustering":0.388909,"STS22.v2":0.27262288888888886,"PoemSentimentClassification":0.35552649999999997,"IndicGenBenchFloresBitextMining":0.03194940517241379},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":186,"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":{"PairClassification":0.716691297295942,"Reranking":0.30794986804759567,"InstructionReranking":-0.008069,"BitextMining":0.10072217085726831},"scoresByTask":{"ScalaClassification":0.5030027499999999,"IndonesianIdClickbaitClassification":0.558457,"SICK-R":0.7852738315932625,"SCIDOCS":0.15312,"PunjabiNewsClassification":0.792357,"AlloProfClusteringS2S.v2":0.108073,"SlovakMovieReviewSentimentClassification":0.527441,"WikipediaRerankingMultilingual":0.424103375,"NTREXBitextMining":0.019407355949895615,"NusaParagraphEmotionClassification":0.3026725,"STS13":0.8180834431353926,"CyrillicTurkicLangClassification":0.614355,"CSFDSKMovieReviewSentimentClassification":0.187109,"XNLI":0.5577548214285714,"CEDRClassification":0.323379,"WinoGrande":0.00026,"IN22GenBitextMining":0.04189214624505929,"NusaTranslationBitextMining":0.08950972727272727,"TwitterURLCorpus":0.8510870963707444,"PpcPC":0.657947,"TwitterHjerneRetrieval":0.00444,"MalteseNewsClassification":0.043709,"STS12":0.7407437934108375,"BUCC.v2":0.041805249999999995,"SwahiliNewsClassification":0.599805,"BiorxivClusteringP2P.v2":0.241073,"STS14":0.770493522248929,"BornholmBitextMining":0.117326,"FaroeseSTS":0.238232,"NusaXBitextMining":0.0006009090909090909,"STSBenchmark":0.8363025944536395,"NorwegianCourtsBitextMining":0.620941,"PlscClusteringP2P.v2":0.63846,"ToxicConversationsClassification":0.679606,"BrazilianToxicTweetsClassification":0.159717,"IndicLangClassification":0.801364,"News21InstructionRetrieval":-0.003092,"GujaratiNewsClassification":0.641806,"SiswatiNewsClassification":0.685,"STS17":0.6023117372769847,"NollySentiBitextMining":0.0580975,"STS15":0.8461113973428688,"TempReasonL1":0.00017,"MedrxivClusteringP2P.v2":0.273613,"TRECCOVID":0.72992,"NepaliNewsClassification":0.88999,"ArmenianParaphrasePC":0.893925,"KorHateSpeechMLClassification":0.037113,"BelebeleRetrieval":0.027579388297872338,"AlloprofReranking":0.307025,"NordicLangClassification":0.490833,"RuBQReranking":0.15982,"STSES":0.540515,"FinParaSTS":0.0452855,"OpusparcusPC":0.83417575,"CataloniaTweetClassification":0.44926725,"GermanSTSBenchmark":0.2690045,"SwissJudgementClassification":0.5276596666666666,"MLQARetrieval":0.03913224489795918,"SwednClusteringP2P":0.00742,"DBpediaClassification":0.782617,"HagridRetrieval":0.40242,"TswanaNewsClassification":0.209035,"WikipediaRetrievalMultilingual":0.0628475,"ArguAna":0.44545,"MIRACLRetrievalHardNegatives":0.018747222222222224,"IsiZuluNewsClassification":0.226596,"DiaBlaBitextMining":0.08115700310455794,"LegalBenchCorporateLobbying":0.45491,"EstonianValenceClassification":0.285208,"SinhalaNewsClassification":0.402588,"SprintDuplicateQuestions":0.9208581738846191,"CovidRetrieval":0.33566,"IndicCrosslingualSTS":-0.000086583333333335,"Core17InstructionRetrieval":-0.009414,"RTE3":0.8829695,"BibleNLPBitextMining":0.0021283454106280192,"AfriSentiClassification":0.37216025,"PAC":0.624877,"VoyageMMarcoReranking":0.236832,"KurdishSentimentClassification":0.550478,"Robust04InstructionRetrieval":-0.011701,"TERRa":0.490505,"indonli":0.516845,"SpartQA":0.00037,"SentimentAnalysisHindi":0.434298,"ItaCaseholdClassification":0.654299,"OdiaNewsClassification":0.613817,"FinancialPhrasebankClassification":0.583569,"ArXivHierarchicalClusteringP2P":0.525478,"CLSClusteringP2P.v2":0.215088,"CTKFactsNLI":0.7011955000000001,"JSICK":0.395329,"FloresBitextMining":0.0055780306432917995,"MacedonianTweetSentimentClassification":0.371905,"TweetTopicSingleClassification":0.490608,"SIB200ClusteringS2S":0.020717045685279187,"HALClusteringS2S.v2":0.040832,"BulgarianStoreReviewSentimentClassfication":0.353846,"CzechProductReviewSentimentClassification":0.399707,"PawsXPairClassification":0.5763414285714286,"FilipinoShopeeReviewsClassification":0.243408,"SemRel24STS":0.3019395833333333,"ArXivHierarchicalClusteringS2S":0.49196,"AILAStatutes":0.15608,"MultiHateClassification":0.5508727272727273,"MasakhaNEWSClusteringS2S":0.2591574375,"DalajClassification":0.499324,"T2Reranking":0.6373951666189072,"WebLINXCandidatesReranking":0.08252366666666666,"KorSarcasmClassification":0.520508,"NusaX-senti":0.5101041666666667,"StackExchangeClustering.v2":0.424133,"Tatoeba":0.2305622896343158,"PolEmo2.0-OUT":0.301822,"RomaniBibleClustering":0.386194,"PoemSentimentClassification":0.308164,"IndicGenBenchFloresBitextMining":0.00038266379310344825},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":187,"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":{"STS":0.356998829229798,"Classification":0.40908379322275423,"Clustering":0.27069969727553933,"Reranking":0.3460103603791727,"Retrieval":0.08469036454396572,"InstructionReranking":-0.004804,"BitextMining":0.1388562689367492,"MultilabelClassification":0.13706436007947143},"scoresByTask":{"ScalaClassification":0.503003,"IndonesianIdClickbaitClassification":0.56236,"SICK-R":0.659096,"SCIDOCS":0.00372,"PunjabiNewsClassification":0.542038,"AlloProfClusteringS2S.v2":0.158324,"SlovakMovieReviewSentimentClassification":0.523193,"WikipediaRerankingMultilingual":0.47094125,"NTREXBitextMining":0.04816671294363257,"NusaParagraphEmotionClassification":0.2174296,"MassiveIntentClassification":0.1364545294117647,"STS13":0.480436,"CyrillicTurkicLangClassification":0.546387,"CSFDSKMovieReviewSentimentClassification":0.20332,"CEDRClassification":0.36806588735387885,"WinoGrande":0.00707,"IN22GenBitextMining":0.07158883399209487,"NusaTranslationBitextMining":0.4882539090909091,"TwitterURLCorpus":0.747902,"PpcPC":0.680899,"TwitterHjerneRetrieval":0.02044,"MalteseNewsClassification":0.087244,"STS12":0.4813,"LEMBPasskeyRetrieval":0.0575,"BUCC.v2":0.024223249999999998,"SwahiliNewsClassification":0.288867,"BiorxivClusteringP2P.v2":0.144841,"STS14":0.466039,"BornholmBitextMining":0.169969,"FaroeseSTS":0.397858,"WikiCitiesClustering":0.398649,"NusaXBitextMining":0.02104081818181818,"STSBenchmark":0.588135,"StackOverflowQA":0.08951,"MultiEURLEXMultilabelClassification":0.018013913043478262,"NorwegianCourtsBitextMining":0.766082,"PlscClusteringP2P.v2":0.615578,"ToxicConversationsClassification":0.562012,"BrazilianToxicTweetsClassification":0.169043,"IndicLangClassification":0.141719,"News21InstructionRetrieval":-0.003621,"GujaratiNewsClassification":0.404401,"SiswatiNewsClassification":0.3775,"STS17":0.19485454545454542,"NollySentiBitextMining":0.1499035,"STS15":0.65337,"TempReasonL1":0.00167,"MedrxivClusteringP2P.v2":0.237572,"TRECCOVID":0.07164,"NepaliNewsClassification":0.471582,"ArmenianParaphrasePC":0.843939,"AmazonCounterfactualClassification":0.579460875,"KorHateSpeechMLClassification":0.042955,"BelebeleRetrieval":0.04229375,"AlloprofReranking":0.316185,"NordicLangClassification":0.382033,"StatcanDialogueDatasetRetrieval":0.005125,"RuBQReranking":0.56140724560837,"STSES":0.544255,"WikiClusteringP2P.v2":0.18991,"FinParaSTS":0.0030745,"OpusparcusPC":0.8745297500000001,"CataloniaTweetClassification":0.4308775,"GermanSTSBenchmark":0.42915749999999997,"SwissJudgementClassification":0.4933113333333334,"MLQARetrieval":0.026903367346938777,"SwednClusteringP2P":0.0360685,"DBpediaClassification":0.732715,"HagridRetrieval":0.63834,"TswanaNewsClassification":0.156468,"WikipediaRetrievalMultilingual":0.06747500000000001,"ArguAna":0.15623,"MIRACLRetrievalHardNegatives":0.008209444444444445,"IsiZuluNewsClassification":0.175399,"DiaBlaBitextMining":0.015452,"LegalBenchCorporateLobbying":0.21071,"EstonianValenceClassification":0.28313,"SinhalaNewsClassification":0.371045,"SprintDuplicateQuestions":0.329189,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.05210175,"Core17InstructionRetrieval":0.000797,"RTE3":0.8489915,"BibleNLPBitextMining":0.002825828502415459,"AfriSentiClassification":0.36415474999999997,"PAC":0.636374,"VoyageMMarcoReranking":0.149233,"GreekLegalCodeClassification":0.016333,"KurdishSentimentClassification":0.604127,"Robust04InstructionRetrieval":-0.011588,"TERRa":0.5197295613724908,"indonli":0.482322,"SpartQA":0.0,"SentimentAnalysisHindi":0.366249,"ItaCaseholdClassification":0.228507,"OdiaNewsClassification":0.561283,"MasakhaNEWSClassification":0.3988776875,"FinancialPhrasebankClassification":0.548145,"ArXivHierarchicalClusteringP2P":0.466827,"CLSClusteringP2P.v2":0.083649,"CTKFactsNLI":0.7061569999999999,"JSICK":0.350268,"STSB":0.063724,"FloresBitextMining":0.023607329735342415,"MacedonianTweetSentimentClassification":0.456804,"TweetTopicSingleClassification":0.491376,"SIB200ClusteringS2S":0.04938459390862944,"HALClusteringS2S.v2":0.067286,"BulgarianStoreReviewSentimentClassfication":0.38022,"CzechProductReviewSentimentClassification":0.428955,"PawsXPairClassification":0.4940450714285714,"FilipinoShopeeReviewsClassification":0.245093,"SemRel24STS":0.22686725,"BigPatentClustering.v2":0.27514,"ArXivHierarchicalClusteringS2S":0.482583,"AILAStatutes":0.11759,"MultiHateClassification":0.5406,"MasakhaNEWSClusteringS2S":0.3009350625,"DalajClassification":0.499099,"T2Reranking":0.506065,"WebLINXCandidatesReranking":0.07223066666666667,"KorSarcasmClassification":0.556543,"NusaX-senti":0.5267083333333333,"StackExchangeClustering.v2":0.43143,"Tatoeba":0.018292098214285714,"PolEmo2.0-OUT":0.337854,"RomaniBibleClustering":0.393018,"STS22.v2":0.22564822222222222,"PoemSentimentClassification":0.3185945,"IndicGenBenchFloresBitextMining":0.005726215517241379},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":188,"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":{"STS":0.300687251104798,"Classification":0.40658349629554785,"Clustering":0.2754601408799402,"Reranking":0.3212762990593765,"Retrieval":0.07799290505071216,"InstructionReranking":0.005566666666666668,"BitextMining":0.13218103920901683,"MultilabelClassification":0.13704204833895486},"scoresByTask":{"ScalaClassification":0.501709,"IndonesianIdClickbaitClassification":0.530708,"SICK-R":0.588573,"SCIDOCS":0.00235,"PunjabiNewsClassification":0.538217,"AlloProfClusteringS2S.v2":0.164672,"SlovakMovieReviewSentimentClassification":0.51582,"WikipediaRerankingMultilingual":0.440770375,"NTREXBitextMining":0.05368977557411273,"NusaParagraphEmotionClassification":0.21304669999999998,"MassiveIntentClassification":0.1176451274509804,"STS13":0.371082,"CyrillicTurkicLangClassification":0.538135,"CSFDSKMovieReviewSentimentClassification":0.200635,"CEDRClassification":0.35844845908607864,"WinoGrande":0.00377,"IN22GenBitextMining":0.06747954545454546,"NusaTranslationBitextMining":0.5158881818181817,"TwitterURLCorpus":0.739826,"PpcPC":0.672771,"TwitterHjerneRetrieval":0.01441,"MalteseNewsClassification":0.073618,"STS12":0.314807,"LEMBPasskeyRetrieval":0.0725,"BUCC.v2":0.02169875,"SwahiliNewsClassification":0.238037,"BiorxivClusteringP2P.v2":0.154471,"STS14":0.36649,"BornholmBitextMining":0.126037,"FaroeseSTS":0.325095,"WikiCitiesClustering":0.456421,"NusaXBitextMining":0.01314818181818182,"STSBenchmark":0.467987,"StackOverflowQA":0.06871,"MultiEURLEXMultilabelClassification":0.017754782608695653,"NorwegianCourtsBitextMining":0.744444,"PlscClusteringP2P.v2":0.641117,"ToxicConversationsClassification":0.577637,"BrazilianToxicTweetsClassification":0.192041,"IndicLangClassification":0.145996,"News21InstructionRetrieval":0.033841,"GujaratiNewsClassification":0.414643,"SiswatiNewsClassification":0.3875,"STS17":0.1947035454545455,"NollySentiBitextMining":0.1186845,"STS15":0.582549,"TempReasonL1":0.00194,"MedrxivClusteringP2P.v2":0.249886,"TRECCOVID":0.03914,"NepaliNewsClassification":0.512207,"ArmenianParaphrasePC":0.838762,"AmazonCounterfactualClassification":0.573464625,"KorHateSpeechMLClassification":0.043348,"BelebeleRetrieval":0.03341244680851064,"AlloprofReranking":0.310649,"NordicLangClassification":0.394133,"StatcanDialogueDatasetRetrieval":0.001565,"RuBQReranking":0.4681300860229256,"STSES":0.341195,"WikiClusteringP2P.v2":0.19300742857142858,"FinParaSTS":0.0491835,"OpusparcusPC":0.8657910833333333,"CataloniaTweetClassification":0.4202375,"GermanSTSBenchmark":0.3123365,"SwissJudgementClassification":0.502289,"MLQARetrieval":0.021380816326530612,"SwednClusteringP2P":0.0342685,"DBpediaClassification":0.742432,"HagridRetrieval":0.49874,"TswanaNewsClassification":0.1577,"WikipediaRetrievalMultilingual":0.05074125,"ArguAna":0.17294,"MIRACLRetrievalHardNegatives":0.004132777777777778,"IsiZuluNewsClassification":0.156915,"DiaBlaBitextMining":0.00871,"LegalBenchCorporateLobbying":0.22421,"EstonianValenceClassification":0.268337,"SinhalaNewsClassification":0.356299,"SprintDuplicateQuestions":0.153427,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.015565083333333332,"Core17InstructionRetrieval":-0.021698,"RTE3":0.849461,"BibleNLPBitextMining":0.0021821926328502413,"AfriSentiClassification":0.35293,"PAC":0.689343,"VoyageMMarcoReranking":0.151999,"GreekLegalCodeClassification":0.019237999999999998,"KurdishSentimentClassification":0.58314,"Robust04InstructionRetrieval":0.004557,"TERRa":0.5016626187469743,"indonli":0.479543,"SpartQA":0.00017,"SentimentAnalysisHindi":0.368708,"ItaCaseholdClassification":0.231222,"OdiaNewsClassification":0.59292,"MasakhaNEWSClassification":0.4110573125,"FinancialPhrasebankClassification":0.571025,"ArXivHierarchicalClusteringP2P":0.471767,"CLSClusteringP2P.v2":0.074404,"CTKFactsNLI":0.7105090000000001,"JSICK":0.352998,"STSB":0.06289600000000001,"FloresBitextMining":0.02643067890949483,"MacedonianTweetSentimentClassification":0.407024,"TweetTopicSingleClassification":0.482753,"SIB200ClusteringS2S":0.04812570050761421,"HALClusteringS2S.v2":0.064769,"BulgarianStoreReviewSentimentClassfication":0.358242,"CzechProductReviewSentimentClassification":0.413623,"PawsXPairClassification":0.4942270714285714,"FilipinoShopeeReviewsClassification":0.2437745,"SemRel24STS":0.22159883333333333,"BigPatentClustering.v2":0.262631,"ArXivHierarchicalClusteringS2S":0.464005,"AILAStatutes":0.19376,"MultiHateClassification":0.5420909090909091,"MasakhaNEWSClusteringS2S":0.302817625,"DalajClassification":0.5,"T2Reranking":0.50704,"WebLINXCandidatesReranking":0.04906933333333333,"KorSarcasmClassification":0.545166,"NusaX-senti":0.5279791666666667,"StackExchangeClustering.v2":0.425522,"Tatoeba":0.01661340178571429,"PolEmo2.0-OUT":0.30668,"RomaniBibleClustering":0.399478,"STS22.v2":0.2750667222222222,"PoemSentimentClassification":0.3324315,"IndicGenBenchFloresBitextMining":0.003347301724137931},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":189,"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":{"STS":0.4316427484564026,"Classification":0.38866308309289893,"Clustering":0.2388918301305294,"PairClassification":0.6488165930735931,"Reranking":0.3208975834761151,"Retrieval":0.10626847237969263,"InstructionReranking":0.009189333333333336,"BitextMining":0.12647005666963743,"MultilabelClassification":0.12141308695652175},"scoresByTask":{"ScalaClassification":0.5003905,"IndonesianIdClickbaitClassification":0.526097,"SICK-R":0.524853,"SCIDOCS":0.00257,"PunjabiNewsClassification":0.53758,"AlloProfClusteringS2S.v2":0.075887,"SlovakMovieReviewSentimentClassification":0.50874,"WikipediaRerankingMultilingual":0.453759375,"NTREXBitextMining":0.021269555323590813,"NusaParagraphEmotionClassification":0.2415822,"MassiveIntentClassification":0.23792194117647059,"STS13":0.582034,"CyrillicTurkicLangClassification":0.490625,"CSFDSKMovieReviewSentimentClassification":0.195166,"XNLI":0.5415468571428571,"CEDRClassification":0.345005,"WinoGrande":0.00182,"IN22GenBitextMining":0.045737782608695654,"NusaTranslationBitextMining":0.3518807272727273,"TwitterURLCorpus":0.684552,"PpcPC":0.725105,"TwitterHjerneRetrieval":0.01895,"MalteseNewsClassification":0.050109,"STS12":0.465666,"LEMBPasskeyRetrieval":0.09,"BUCC.v2":0.00186,"SwahiliNewsClassification":0.314014,"BiorxivClusteringP2P.v2":0.102681,"STS14":0.516049,"BornholmBitextMining":0.180692,"FaroeseSTS":0.563036,"WikiCitiesClustering":0.324904,"NusaXBitextMining":0.02334609090909091,"STSBenchmark":0.521587,"StackOverflowQA":0.08424,"MultiEURLEXMultilabelClassification":0.016670434782608694,"NorwegianCourtsBitextMining":0.839912,"PlscClusteringP2P.v2":0.639566,"ToxicConversationsClassification":0.532568,"BrazilianToxicTweetsClassification":0.173877,"IndicLangClassification":0.133303,"News21InstructionRetrieval":-0.025105,"GujaratiNewsClassification":0.391426,"SiswatiNewsClassification":0.60625,"STS17":0.18666054545454544,"NollySentiBitextMining":0.14338824999999997,"STS15":0.570453,"TempReasonL1":0.0018,"MedrxivClusteringP2P.v2":0.221333,"TRECCOVID":0.06304,"NepaliNewsClassification":0.391309,"ArmenianParaphrasePC":0.857418,"AmazonCounterfactualClassification":0.621353125,"KorHateSpeechMLClassification":0.021404,"BelebeleRetrieval":0.02120375,"AlloprofReranking":0.321106,"NordicLangClassification":0.4766,"StatcanDialogueDatasetRetrieval":0.0045575,"RuBQReranking":0.192568,"STSES":0.493318,"WikiClusteringP2P.v2":0.16369057142857144,"FinParaSTS":-0.029595,"OpusparcusPC":0.8490086666666666,"CataloniaTweetClassification":0.42644475,"GermanSTSBenchmark":0.525937,"SwissJudgementClassification":0.48131233333333334,"MLQARetrieval":0.018416530612244898,"SwednClusteringP2P":0.0119055,"DBpediaClassification":0.404004,"HagridRetrieval":0.40418,"TswanaNewsClassification":0.192813,"WikipediaRetrievalMultilingual":0.0434075,"ArguAna":0.04832,"MIRACLRetrievalHardNegatives":0.0038272222222222227,"IsiZuluNewsClassification":0.228723,"DiaBlaBitextMining":0.014558,"LegalBenchCorporateLobbying":0.10854,"EstonianValenceClassification":0.274939,"SinhalaNewsClassification":0.359033,"SprintDuplicateQuestions":0.416507,"CovidRetrieval":0.82819,"IndicCrosslingualSTS":0.011926166666666668,"Core17InstructionRetrieval":0.019186,"RTE3":0.8657595,"BibleNLPBitextMining":0.0016907451690821257,"AfriSentiClassification":0.3625153333333333,"PAC":0.548769,"VoyageMMarcoReranking":0.226322,"GreekLegalCodeClassification":0.039673,"KurdishSentimentClassification":0.581933,"Robust04InstructionRetrieval":0.033487,"TERRa":0.489154,"indonli":0.505947,"SpartQA":0.02143,"SentimentAnalysisHindi":0.367323,"ItaCaseholdClassification":0.232579,"OdiaNewsClassification":0.478376,"MasakhaNEWSClassification":0.373279875,"FinancialPhrasebankClassification":0.443375,"ArXivHierarchicalClusteringP2P":0.475626,"CLSClusteringP2P.v2":0.103101,"CTKFactsNLI":0.7199295,"JSICK":0.624003,"STSB":0.8339129020701187,"FloresBitextMining":0.007609893919636819,"MacedonianTweetSentimentClassification":0.371905,"TweetTopicSingleClassification":0.223331,"SIB200ClusteringS2S":0.022553710659898477,"HALClusteringS2S.v2":0.035397,"BulgarianStoreReviewSentimentClassfication":0.293407,"CzechProductReviewSentimentClassification":0.410791,"PawsXPairClassification":0.482055,"FilipinoShopeeReviewsClassification":0.2483885,"SemRel24STS":0.26996458333333334,"BigPatentClustering.v2":0.170588,"ArXivHierarchicalClusteringS2S":0.457884,"AILAStatutes":0.14834,"MultiHateClassification":0.5381181818181818,"MasakhaNEWSClusteringS2S":0.2619625,"DalajClassification":0.49741,"T2Reranking":0.6838732925233572,"WebLINXCandidatesReranking":0.04775683333333333,"KorSarcasmClassification":0.51543,"NusaX-senti":0.5165833333333333,"StackExchangeClustering.v2":0.375317,"Tatoeba":0.011327053571428571,"PolEmo2.0-OUT":0.336842,"RomaniBibleClustering":0.379873,"STS22.v2":0.2464787777777778,"PoemSentimentClassification":0.26028850000000003,"IndicGenBenchFloresBitextMining":0.0008386379310344827},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":190,"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":{"Classification":0.34198555061507685,"Clustering":0.21123406913410986,"PairClassification":0.6824413067224244,"Reranking":0.3159546736111111,"Retrieval":0.10701550361712849,"InstructionReranking":-0.016409999999999998,"BitextMining":0.009043467139650664,"MultilabelClassification":0.10393820869565218},"scoresByTask":{"ScalaClassification":0.501538,"IndonesianIdClickbaitClassification":0.52139,"SICK-R":0.796487740813199,"SCIDOCS":0.19863,"PunjabiNewsClassification":0.57707,"AlloProfClusteringS2S.v2":0.03543,"SlovakMovieReviewSentimentClassification":0.5021,"WikipediaRerankingMultilingual":0.698727875,"NTREXBitextMining":0.0015582197286012527,"NusaParagraphEmotionClassification":0.1486153,"MassiveIntentClassification":0.06267943137254903,"STS13":0.8417947648159536,"CyrillicTurkicLangClassification":0.238574,"CSFDSKMovieReviewSentimentClassification":0.212842,"XNLI":0.5140678928571428,"CEDRClassification":0.294899,"WinoGrande":0.00123,"IN22GenBitextMining":0.0023401798418972333,"NusaTranslationBitextMining":0.008482272727272727,"TwitterURLCorpus":0.8608681215460772,"PpcPC":0.662596,"TwitterHjerneRetrieval":0.00602,"MalteseNewsClassification":0.012799,"STS12":0.7427447427941591,"LEMBPasskeyRetrieval":0.0025,"BUCC.v2":0.0001905,"SwahiliNewsClassification":0.208203,"BiorxivClusteringP2P.v2":0.057369,"STS14":0.7880745014464101,"BornholmBitextMining":0.00625,"FaroeseSTS":0.121841,"WikiCitiesClustering":0.215541,"NusaXBitextMining":0.002107727272727273,"STSBenchmark":0.8484429717949759,"StackOverflowQA":0.00241,"MultiEURLEXMultilabelClassification":0.0038130434782608696,"NorwegianCourtsBitextMining":0.079998,"PlscClusteringP2P.v2":0.645305,"ToxicConversationsClassification":0.733474,"BrazilianToxicTweetsClassification":0.176221,"IndicLangClassification":0.312765,"News21InstructionRetrieval":0.003801,"GujaratiNewsClassification":0.36692,"SiswatiNewsClassification":0.51,"NollySentiBitextMining":0.010183,"STS15":0.8755320285299192,"TempReasonL1":0.00047,"MedrxivClusteringP2P.v2":0.15453,"TRECCOVID":0.65913,"NepaliNewsClassification":0.464307,"ArmenianParaphrasePC":0.803765,"AmazonCounterfactualClassification":0.517325625,"KorHateSpeechMLClassification":0.031959,"BelebeleRetrieval":0.010345984042553191,"AlloprofReranking":0.288229,"NordicLangClassification":0.269067,"StatcanDialogueDatasetRetrieval":0.0006775,"RuBQReranking":0.186032,"STSES":0.109332,"WikiClusteringP2P.v2":0.08773928571428571,"FinParaSTS":0.017444,"OpusparcusPC":0.7430974166666666,"CataloniaTweetClassification":0.36099575,"GermanSTSBenchmark":0.21448699999999998,"SwissJudgementClassification":0.504927,"MLQARetrieval":0.01148877551020408,"SwednClusteringP2P":0.0030345,"DBpediaClassification":0.151611,"HagridRetrieval":0.02,"TswanaNewsClassification":0.106571,"WikipediaRetrievalMultilingual":0.44826625,"ArguAna":0.44181,"MIRACLRetrievalHardNegatives":0.00018055555555555555,"IsiZuluNewsClassification":0.188032,"DiaBlaBitextMining":0.00168,"LegalBenchCorporateLobbying":0.01268,"EstonianValenceClassification":0.267848,"SinhalaNewsClassification":0.290186,"SprintDuplicateQuestions":0.9530034785910676,"CovidRetrieval":0.0,"IndicCrosslingualSTS":-0.021113583333333335,"Core17InstructionRetrieval":-0.011467,"RTE3":0.86571075,"BibleNLPBitextMining":0.002183451690821256,"AfriSentiClassification":0.34148325,"PAC":0.509731,"VoyageMMarcoReranking":0.153381,"GreekLegalCodeClassification":0.0066405,"KurdishSentimentClassification":0.526019,"Robust04InstructionRetrieval":-0.041564,"TERRa":0.448037,"indonli":0.501591,"SpartQA":0.00564,"SentimentAnalysisHindi":0.349054,"ItaCaseholdClassification":0.073303,"OdiaNewsClassification":0.473475,"MasakhaNEWSClassification":0.2291490625,"FinancialPhrasebankClassification":0.374735,"ArXivHierarchicalClusteringP2P":0.471547,"CLSClusteringP2P.v2":0.031522,"CTKFactsNLI":0.688393,"JSICK":0.318611,"STSB":0.0496915,"FloresBitextMining":0.0009196932290157443,"MacedonianTweetSentimentClassification":0.313696,"TweetTopicSingleClassification":0.192085,"SIB200ClusteringS2S":0.014042695431472083,"HALClusteringS2S.v2":0.021189,"BulgarianStoreReviewSentimentClassfication":0.286264,"CzechProductReviewSentimentClassification":0.364111,"PawsXPairClassification":0.4657247142857143,"FilipinoShopeeReviewsClassification":0.213257,"SemRel24STS":0.14272708333333334,"BigPatentClustering.v2":0.200592,"ArXivHierarchicalClusteringS2S":0.474875,"AILAStatutes":0.1048,"MultiHateClassification":0.5163090909090909,"MasakhaNEWSClusteringS2S":0.253374625,"DalajClassification":0.492568,"T2Reranking":0.544704,"WebLINXCandidatesReranking":0.024654166666666668,"KorSarcasmClassification":0.502686,"NusaX-senti":0.39716666666666667,"StackExchangeClustering.v2":0.350735,"Tatoeba":0.0011653214285714285,"PolEmo2.0-OUT":0.266802,"RomaniBibleClustering":0.362919,"STS22.v2":-0.01047677777777778,"PoemSentimentClassification":0.259803,"IndicGenBenchFloresBitextMining":0.0005067068965517241},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":191,"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":{"STS":0.009194949179292929,"Classification":0.3010590495600672,"Clustering":0.21195680895066626,"PairClassification":0.5278333181818181,"Reranking":0.2513676458333333,"Retrieval":0.010813979952008383,"InstructionReranking":0.004504000000000001,"BitextMining":0.003833271073693067,"MultilabelClassification":0.11195250434782608},"scoresByTask":{"ScalaClassification":0.49680175,"IndonesianIdClickbaitClassification":0.494069,"SICK-R":-0.001918,"SCIDOCS":0.00024,"PunjabiNewsClassification":0.509554,"AlloProfClusteringS2S.v2":0.014391,"SlovakMovieReviewSentimentClassification":0.505518,"WikipediaRerankingMultilingual":0.314379375,"NTREXBitextMining":0.0005342870563674322,"NusaParagraphEmotionClassification":0.1409111,"MassiveIntentClassification":0.019456911764705882,"STS13":-0.016979,"CyrillicTurkicLangClassification":0.110547,"CSFDSKMovieReviewSentimentClassification":0.162549,"XNLI":0.506691,"CEDRClassification":0.318863,"WinoGrande":0.00168,"IN22GenBitextMining":0.0006070573122529645,"NusaTranslationBitextMining":0.0020609090909090907,"TwitterURLCorpus":0.254395,"PpcPC":0.599062,"TwitterHjerneRetrieval":0.03552,"MalteseNewsClassification":0.007749,"STS12":0.08441,"LEMBPasskeyRetrieval":0.0025,"BUCC.v2":0.00047225,"SwahiliNewsClassification":0.193506,"BiorxivClusteringP2P.v2":0.051324,"STS14":0.006327,"BornholmBitextMining":0.000667,"FaroeseSTS":0.003295,"WikiCitiesClustering":0.269122,"NusaXBitextMining":0.0007360909090909091,"STSBenchmark":0.030174,"StackOverflowQA":0.00017,"MultiEURLEXMultilabelClassification":0.003476521739130435,"NorwegianCourtsBitextMining":0.033918,"PlscClusteringP2P.v2":0.642294,"ToxicConversationsClassification":0.491553,"BrazilianToxicTweetsClassification":0.213965,"IndicLangClassification":0.052623,"News21InstructionRetrieval":0.012134,"GujaratiNewsClassification":0.326935,"SiswatiNewsClassification":0.6,"STS17":0.01564890909090909,"NollySentiBitextMining":0.0050307500000000005,"STS15":0.025899,"TempReasonL1":0.00066,"MedrxivClusteringP2P.v2":0.176162,"TRECCOVID":0.00425,"NepaliNewsClassification":0.34209,"ArmenianParaphrasePC":0.695824,"AmazonCounterfactualClassification":0.4952975,"KorHateSpeechMLClassification":0.015709,"BelebeleRetrieval":0.00926470744680851,"AlloprofReranking":0.29559,"NordicLangClassification":0.186867,"StatcanDialogueDatasetRetrieval":0.0007624999999999999,"RuBQReranking":0.17774,"STSES":-0.088272,"WikiClusteringP2P.v2":0.0582185,"FinParaSTS":0.013046499999999999,"OpusparcusPC":0.67923375,"CataloniaTweetClassification":0.33737625,"GermanSTSBenchmark":0.0254715,"SwissJudgementClassification":0.5053036666666667,"MLQARetrieval":0.011335612244897958,"SwednClusteringP2P":0.0019645,"DBpediaClassification":0.070557,"HagridRetrieval":0.00417,"TswanaNewsClassification":0.096715,"WikipediaRetrievalMultilingual":0.000329375,"ArguAna":0.00188,"MIRACLRetrievalHardNegatives":0.00012944444444444445,"IsiZuluNewsClassification":0.172739,"DiaBlaBitextMining":0.000892,"LegalBenchCorporateLobbying":0.02015,"EstonianValenceClassification":0.243399,"SinhalaNewsClassification":0.216113,"SprintDuplicateQuestions":0.011443,"CovidRetrieval":0.0,"IndicCrosslingualSTS":0.03161866666666666,"Core17InstructionRetrieval":-0.019502,"RTE3":0.86471825,"BibleNLPBitextMining":0.0024702004830917876,"AfriSentiClassification":0.3383554166666667,"PAC":0.513409,"VoyageMMarcoReranking":0.15135,"GreekLegalCodeClassification":0.0027099999999999997,"KurdishSentimentClassification":0.495118,"Robust04InstructionRetrieval":0.02088,"TERRa":0.550412,"indonli":0.521716,"SpartQA":0.00362,"SentimentAnalysisHindi":0.322959,"ItaCaseholdClassification":0.023529,"OdiaNewsClassification":0.317541,"MasakhaNEWSClassification":0.1923001875,"FinancialPhrasebankClassification":0.350486,"ArXivHierarchicalClusteringP2P":0.471635,"CLSClusteringP2P.v2":0.019032,"CTKFactsNLI":0.6455255,"JSICK":-0.03572,"STSB":0.041873,"FloresBitextMining":0.0006478297836375929,"MacedonianTweetSentimentClassification":0.348464,"TweetTopicSingleClassification":0.167159,"SIB200ClusteringS2S":0.010065380710659898,"HALClusteringS2S.v2":0.014674,"BulgarianStoreReviewSentimentClassfication":0.266484,"CzechProductReviewSentimentClassification":0.33418,"PawsXPairClassification":0.47714599999999996,"FilipinoShopeeReviewsClassification":0.20141599999999998,"SemRel24STS":-0.01490733333333333,"BigPatentClustering.v2":0.165616,"ArXivHierarchicalClusteringS2S":0.466654,"AILAStatutes":0.09799,"MultiHateClassification":0.4970181818181818,"MasakhaNEWSClusteringS2S":0.2510865625,"DalajClassification":0.50732,"T2Reranking":0.55049,"WebLINXCandidatesReranking":0.018656500000000003,"KorSarcasmClassification":0.503516,"NusaX-senti":0.32947916666666666,"StackExchangeClustering.v2":0.391919,"Tatoeba":0.001244580357142857,"PolEmo2.0-OUT":0.236842,"RomaniBibleClustering":0.387151,"STS22.v2":0.027151944444444444,"PoemSentimentClassification":0.226772,"IndicGenBenchFloresBitextMining":0.0005515689655172414},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":192,"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":{"ScalaClassification":0.5016725,"IndonesianIdClickbaitClassification":0.502665,"SICK-R":0.7046515535094771,"SCIDOCS":0.15264,"AlloProfClusteringS2S.v2":0.039475,"NTREXBitextMining":0.007289761482254698,"MassiveIntentClassification":0.08844188235294118,"STS13":0.7820169706921848,"CyrillicTurkicLangClassification":0.339551,"XNLI":0.5255091428571429,"CEDRClassification":0.312965,"WinoGrande":0.00196,"IN22GenBitextMining":0.006487067193675889,"NusaTranslationBitextMining":0.1528199090909091,"TwitterURLCorpus":0.8311416594316625,"PpcPC":0.701862,"TwitterHjerneRetrieval":0.01964,"STS12":0.6399899601697853,"BUCC.v2":0.0005172499999999999,"STS14":0.7078377709313477,"BornholmBitextMining":0.082052,"FaroeseSTS":0.311631,"NusaXBitextMining":0.0076518181818181815,"STSBenchmark":0.7557446967644269,"NorwegianCourtsBitextMining":0.417203,"ToxicConversationsClassification":0.679394,"BrazilianToxicTweetsClassification":0.173047,"IndicLangClassification":0.328437,"GujaratiNewsClassification":0.376859,"SiswatiNewsClassification":0.21,"STS15":0.8002708383244839,"TempReasonL1":0.00084,"TRECCOVID":0.38579,"NepaliNewsClassification":0.393652,"ArmenianParaphrasePC":0.838955,"AmazonCounterfactualClassification":0.5681415000000001,"KorHateSpeechMLClassification":0.026559,"NordicLangClassification":0.3532,"STSES":0.354934,"FinParaSTS":0.0057985,"OpusparcusPC":0.7774985000000001,"CataloniaTweetClassification":0.37587025,"GermanSTSBenchmark":0.3539645,"DBpediaClassification":0.284668,"HagridRetrieval":0.12405,"ArguAna":0.49819,"IsiZuluNewsClassification":0.13617,"DiaBlaBitextMining":0.007027,"SinhalaNewsClassification":0.233936,"SprintDuplicateQuestions":0.9040809844250262,"RTE3":0.85036475,"AfriSentiClassification":0.33726925,"KurdishSentimentClassification":0.543936,"indonli":0.496806,"SpartQA":0.02724,"SentimentAnalysisHindi":0.303532,"OdiaNewsClassification":0.477376,"FinancialPhrasebankClassification":0.44015,"JSICK":0.430291,"STSB":0.17845250000000001,"FloresBitextMining":0.0028147667342799188,"MacedonianTweetSentimentClassification":0.332748,"TweetTopicSingleClassification":0.222209,"SIB200ClusteringS2S":0.01646236040609137,"HALClusteringS2S.v2":0.023298,"PawsXPairClassification":0.48031850000000004,"FilipinoShopeeReviewsClassification":0.213696,"SemRel24STS":0.18931433333333333,"ArXivHierarchicalClusteringS2S":0.438643,"MultiHateClassification":0.5091545454545454,"MasakhaNEWSClusteringS2S":0.2545655625,"DalajClassification":0.499662,"KorSarcasmClassification":0.507764,"NusaX-senti":0.4179375,"StackExchangeClustering.v2":0.369723,"Tatoeba":0.004696017857142858,"RomaniBibleClustering":0.349868,"PoemSentimentClassification":0.244982,"IndicGenBenchFloresBitextMining":0.00016418103448275861},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":193,"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":{"SICK-R":0.777845,"SCIDOCS":0.22452,"STS13":0.866885,"WinoGrande":0.4937,"TwitterURLCorpus":0.857995,"STS12":0.751023,"BUCC.v2":0.52037325,"BiorxivClusteringP2P.v2":0.420662,"STS14":0.813998,"WikiCitiesClustering":0.892384,"STSBenchmark":0.845462,"StackOverflowQA":0.84546,"ToxicConversationsClassification":0.677881,"News21InstructionRetrieval":0.007843,"STS15":0.875005,"TempReasonL1":0.00884,"MedrxivClusteringP2P.v2":0.389982,"TRECCOVID":0.6153,"DBpediaClassification":0.88584,"ArguAna":0.55458,"DiaBlaBitextMining":0.546104,"LegalBenchCorporateLobbying":0.94269,"SprintDuplicateQuestions":0.965781,"IndicCrosslingualSTS":0.047136000000000004,"Core17InstructionRetrieval":0.026689,"Robust04InstructionRetrieval":-0.020862,"SpartQA":0.02515,"ArXivHierarchicalClusteringP2P":0.582343,"BigPatentClustering.v2":0.36584,"ArXivHierarchicalClusteringS2S":0.578725,"AILAStatutes":0.41518,"StackExchangeClustering.v2":0.602263,"Tatoeba":0.17780173214285713},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":194,"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":{"SICK-R":0.852974,"SCIDOCS":0.2551,"STS13":0.933476,"TwitterURLCorpus":0.889127,"STS12":0.860666,"BiorxivClusteringP2P.v2":0.519626,"STS14":0.896326,"STSBenchmark":0.928872,"ToxicConversationsClassification":0.910596,"STS15":0.934661,"MedrxivClusteringP2P.v2":0.490064,"TRECCOVID":0.89924,"ArguAna":0.7828,"LegalBenchCorporateLobbying":0.93511,"SprintDuplicateQuestions":0.983387,"CovidRetrieval":0.8752,"ArXivHierarchicalClusteringP2P":0.661017,"ArXivHierarchicalClusteringS2S":0.638708,"AILAStatutes":0.39803,"T2Reranking":0.67539,"StackExchangeClustering.v2":0.772287},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":195,"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":{"SICK-R":0.892287,"SCIDOCS":0.21476,"STS13":0.886082,"WinoGrande":0.67268,"TwitterHjerneRetrieval":0.8438,"STS12":0.835043,"LEMBPasskeyRetrieval":0.6975,"STS14":0.847675,"FaroeseSTS":0.722847,"STSBenchmark":0.885762,"StackOverflowQA":0.91429,"STS17":0.8494705454545456,"STS15":0.89692,"TempReasonL1":0.01323,"TRECCOVID":0.80358,"StatcanDialogueDatasetRetrieval":0.5806825,"STSES":0.753104,"FinParaSTS":0.15053,"MLQARetrieval":0.7489959183673469,"HagridRetrieval":0.98822,"WikipediaRetrievalMultilingual":0.884618125,"ArguAna":0.66962,"MIRACLRetrievalHardNegatives":0.6292472222222222,"LegalBenchCorporateLobbying":0.94844,"CovidRetrieval":0.80182,"IndicCrosslingualSTS":0.35229875000000005,"SpartQA":0.3024,"JSICK":0.803327,"SemRel24STS":0.5646376666666667,"AILAStatutes":0.50131,"STS22.v2":0.7176313333333333},"scoresByCustomGroup":{},"trainedOnTasks":["SICK-R","STS12","StackOverflowQA"],"experiments":null},{"rank":196,"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":0.9174441187210741},"scoresByTask":{"IndonesianIdClickbaitClassification":0.625645,"NTREXBitextMining":0.9880719577244259,"IN22GenBitextMining":0.995256942687747,"NusaTranslationBitextMining":0.9315834545454545,"BUCC.v2":1.0,"BornholmBitextMining":0.916667,"NusaXBitextMining":0.8393421818181818,"NorwegianCourtsBitextMining":1.0,"ToxicConversationsClassification":0.735205,"GujaratiNewsClassification":0.900986,"NollySentiBitextMining":0.783654,"DBpediaClassification":0.886475,"MIRACLRetrievalHardNegatives":0.6778344444444444,"DiaBlaBitextMining":0.996296,"EstonianValenceClassification":0.458068,"BibleNLPBitextMining":0.5298186243961353,"GreekLegalCodeClassification":0.3386475,"SentimentAnalysisHindi":0.581782,"FinancialPhrasebankClassification":0.8447,"FloresBitextMining":0.9823678535690138,"TweetTopicSingleClassification":0.669935,"BulgarianStoreReviewSentimentClassfication":0.731868,"CzechProductReviewSentimentClassification":0.643506,"FilipinoShopeeReviewsClassification":0.42434099999999997,"AILAStatutes":0.47329,"Tatoeba":0.9946808303571428,"PoemSentimentClassification":0.4756045,"IndicGenBenchFloresBitextMining":0.969034698275862},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":197,"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":{"SICK-R":0.830625,"SCIDOCS":0.59857,"STS13":0.886163,"TwitterURLCorpus":0.864047,"STS12":0.801966,"BiorxivClusteringP2P.v2":0.445417,"STS14":0.839912,"STSBenchmark":0.89472,"ToxicConversationsClassification":0.808838,"STS15":0.89746,"MedrxivClusteringP2P.v2":0.397828,"TRECCOVID":0.98328,"ArguAna":0.69169,"SprintDuplicateQuestions":0.903419,"ArXivHierarchicalClusteringP2P":0.617212,"ArXivHierarchicalClusteringS2S":0.622411,"StackExchangeClustering.v2":0.686737},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":198,"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":{"SICK-R":0.801426,"SCIDOCS":0.22634,"STS13":0.86485,"TwitterURLCorpus":0.835862,"STS12":0.795868,"BiorxivClusteringP2P.v2":0.649411,"STS14":0.832245,"STSBenchmark":0.867924,"ToxicConversationsClassification":0.918896,"STS15":0.877781,"MedrxivClusteringP2P.v2":0.561709,"TRECCOVID":0.58666,"ArguAna":0.58608,"SprintDuplicateQuestions":0.94665,"ArXivHierarchicalClusteringP2P":0.663162,"ArXivHierarchicalClusteringS2S":0.640022,"StackExchangeClustering.v2":0.736551},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MIRACLRetrievalHardNegatives","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":199,"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":{"ScalaClassification":0.5035035,"SICK-R":0.80354,"MassiveIntentClassification":0.5050133333333333,"STS13":0.854455,"TwitterURLCorpus":0.864257,"TwitterHjerneRetrieval":0.8363,"STS12":0.709032,"LEMBPasskeyRetrieval":0.9375,"BiorxivClusteringP2P.v2":0.424429,"STS14":0.798747,"BornholmBitextMining":0.356436,"STSBenchmark":0.850621,"NorwegianCourtsBitextMining":0.924708,"ToxicConversationsClassification":0.644727,"STS15":0.86788,"MedrxivClusteringP2P.v2":0.368791,"NordicLangClassification":0.5896,"SwednClusteringP2P":0.376959,"LegalBenchCorporateLobbying":0.95656,"SprintDuplicateQuestions":0.943324,"ArXivHierarchicalClusteringP2P":0.587201,"ArXivHierarchicalClusteringS2S":0.576306,"AILAStatutes":0.4551,"DalajClassification":0.499324,"StackExchangeClustering.v2":0.565795},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":200,"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":{"SICK-R":0.8266085892322664,"SCIDOCS":0.2693150756480961,"STS13":0.8744662352358895,"TwitterURLCorpus":0.8700849868076658,"PpcPC":0.9543345251568123,"STS12":0.777109125765107,"STS14":0.8348313793311584,"STSBenchmark":0.8725208310840168,"ToxicConversationsClassification":0.8734339999999999,"STS17":0.8445902727272727,"STS15":0.8763145141246593,"TRECCOVID":0.6426928884606035,"AlloprofReranking":0.7862041803111894,"ArguAna":0.7736555747844541,"SprintDuplicateQuestions":0.912326885940691,"CovidRetrieval":0.7745799999999999,"PAC":0.6724297712134376,"SIB200ClusteringS2S":0.2950455888324873,"PawsXPairClassification":0.5743385,"T2Reranking":0.6747921173708028,"PolEmo2.0-OUT":0.7777327935222672},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":201,"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":{"SICK-R":0.843305,"SCIDOCS":0.26412,"STS13":0.925484,"TwitterURLCorpus":0.867263,"STS12":0.847519,"BiorxivClusteringP2P.v2":0.564193,"STS14":0.903995,"STSBenchmark":0.915074,"ToxicConversationsClassification":0.866455,"STS15":0.924218,"MedrxivClusteringP2P.v2":0.517918,"TRECCOVID":0.87652,"ArguAna":0.75104,"SprintDuplicateQuestions":0.973555,"CovidRetrieval":0.87404,"ArXivHierarchicalClusteringP2P":0.653965,"ArXivHierarchicalClusteringS2S":0.640416,"T2Reranking":0.673278,"StackExchangeClustering.v2":0.806577},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSB","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":202,"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":{"SICK-R":0.877356,"SCIDOCS":0.28659,"MassiveIntentClassification":0.5479057647058824,"STS13":0.95668,"TwitterURLCorpus":0.921688,"STS12":0.902917,"BiorxivClusteringP2P.v2":0.544787,"STS14":0.927978,"STSBenchmark":0.950436,"ToxicConversationsClassification":0.901904,"STS17":0.8922355454545454,"STS15":0.952682,"MedrxivClusteringP2P.v2":0.499492,"TRECCOVID":0.77639,"AmazonCounterfactualClassification":0.92595775,"ArguAna":0.84097,"SprintDuplicateQuestions":0.983811,"CovidRetrieval":0.93164,"ArXivHierarchicalClusteringP2P":0.66157,"STSB":0.91767,"ArXivHierarchicalClusteringS2S":0.635768,"T2Reranking":0.680062,"StackExchangeClustering.v2":0.755257,"STS22.v2":0.7718277222222222},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":203,"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":{"SICK-R":0.7972822038569594,"SCIDOCS":0.19967,"STS13":0.8386019247474584,"CEDRClassification":0.4376195536663124,"TwitterURLCorpus":0.8568756441554032,"PpcPC":0.8610558522259641,"STS12":0.8016653334500152,"STS14":0.8056563765431509,"STSBenchmark":0.8412195434062341,"ToxicConversationsClassification":0.8927734375,"STS15":0.8734265089376507,"TRECCOVID":0.8371600000000001,"AlloprofReranking":0.7517961983598763,"RuBQReranking":0.7023399911521713,"ArguAna":0.58627,"SprintDuplicateQuestions":0.9305685558073558,"CovidRetrieval":0.8231100000000001,"PAC":0.6503909643788011,"TERRa":0.5517437273876084,"T2Reranking":0.6673229864475817,"PolEmo2.0-OUT":0.6257085020242916},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MassiveIntentClassification","PawsXPairClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":204,"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":{"SICK-R":0.84669,"SCIDOCS":0.25011,"STS13":0.923468,"TwitterURLCorpus":0.869784,"STS12":0.834018,"BiorxivClusteringP2P.v2":0.544897,"STS14":0.894397,"STSBenchmark":0.893686,"ToxicConversationsClassification":0.944287,"STS15":0.915381,"MedrxivClusteringP2P.v2":0.488849,"TRECCOVID":0.84447,"ArguAna":0.71037,"SprintDuplicateQuestions":0.898021,"CovidRetrieval":0.8846,"ArXivHierarchicalClusteringP2P":0.632397,"ArXivHierarchicalClusteringS2S":0.620561,"T2Reranking":0.676572,"StackExchangeClustering.v2":0.80123},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSB","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":205,"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":{"SICK-R":0.8320442801025385,"SCIDOCS":0.21617,"STS13":0.895167267178336,"TwitterURLCorpus":0.8666290190780936,"STS12":0.8190031256415883,"BiorxivClusteringP2P.v2":0.5067147241962376,"STS14":0.8599180550008585,"STSBenchmark":0.8888111143561678,"ToxicConversationsClassification":0.9169921875,"STS15":0.9032929760921006,"MedrxivClusteringP2P.v2":0.4557062461631795,"TRECCOVID":0.82983,"ArguAna":0.60153,"SprintDuplicateQuestions":0.9608836408366999,"CovidRetrieval":0.83572,"ArXivHierarchicalClusteringP2P":0.6345525248201163,"STSB":0.828989407235025,"ArXivHierarchicalClusteringS2S":0.6115800304798539,"T2Reranking":0.6760053885586859,"StackExchangeClustering.v2":0.7583726954485177},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":206,"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":{"SICK-R":0.81931,"SCIDOCS":0.20496,"STS13":0.903559,"TwitterURLCorpus":0.875299,"STS12":0.775769,"BiorxivClusteringP2P.v2":0.399298,"STS14":0.852448,"STSBenchmark":0.889791,"ToxicConversationsClassification":0.897559,"News21InstructionRetrieval":0.039435171473957226,"STS15":0.896639,"MedrxivClusteringP2P.v2":0.36798,"TRECCOVID":0.82547,"ArguAna":0.58625,"SprintDuplicateQuestions":0.963748,"Core17InstructionRetrieval":0.05444156847313018,"Robust04InstructionRetrieval":-0.0239655472289634,"ArXivHierarchicalClusteringP2P":0.570909,"ArXivHierarchicalClusteringS2S":0.548248,"AILAStatutes":0.41036,"StackExchangeClustering.v2":0.913485},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":207,"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":{"SICK-R":0.825161,"SCIDOCS":0.19562,"STS13":0.867109,"CEDRClassification":0.668757,"TwitterURLCorpus":0.858406,"STS12":0.744249,"BiorxivClusteringP2P.v2":0.512919,"STS14":0.807673,"STSBenchmark":0.870425,"StackOverflowQA":0.92327,"ToxicConversationsClassification":0.902344,"STS15":0.882321,"MedrxivClusteringP2P.v2":0.491278,"TRECCOVID":0.8655,"RuBQReranking":0.75908,"ArguAna":0.53766,"SprintDuplicateQuestions":0.95894,"TERRa":0.648285,"ArXivHierarchicalClusteringP2P":0.667032,"ArXivHierarchicalClusteringS2S":0.61784,"StackExchangeClustering.v2":0.659485},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":208,"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":{"ScalaClassification":0.503064,"SICK-R":0.797786,"MassiveIntentClassification":0.44817278431372554,"STS13":0.831122,"TwitterURLCorpus":0.848074,"TwitterHjerneRetrieval":0.74833,"STS12":0.729377,"BiorxivClusteringP2P.v2":0.412579,"STS14":0.772145,"BornholmBitextMining":0.271851,"STSBenchmark":0.847834,"NorwegianCourtsBitextMining":0.926901,"ToxicConversationsClassification":0.647559,"STS15":0.852954,"MedrxivClusteringP2P.v2":0.358555,"NordicLangClassification":0.580133,"SwednClusteringP2P":0.371625,"SprintDuplicateQuestions":0.932865,"ArXivHierarchicalClusteringP2P":0.583721,"ArXivHierarchicalClusteringS2S":0.581643,"DalajClassification":0.500676,"StackExchangeClustering.v2":0.584565},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":209,"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":{"ScalaClassification":0.50131825,"SICK-R":0.794471,"MassiveIntentClassification":0.36835016666666665,"STS13":0.805375,"TwitterURLCorpus":0.855549,"TwitterHjerneRetrieval":0.59473,"STS12":0.710071,"BiorxivClusteringP2P.v2":0.416405,"STS14":0.74775,"BornholmBitextMining":0.214653,"STSBenchmark":0.830537,"NorwegianCourtsBitextMining":0.876253,"ToxicConversationsClassification":0.649756,"STS15":0.836444,"MedrxivClusteringP2P.v2":0.36315,"NordicLangClassification":0.546,"SwednClusteringP2P":0.41143549999999995,"SprintDuplicateQuestions":0.932768,"ArXivHierarchicalClusteringP2P":0.574792,"ArXivHierarchicalClusteringS2S":0.545789,"DalajClassification":0.500676,"StackExchangeClustering.v2":0.561847},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":210,"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":{"SICK-R":0.8060068499509984,"SCIDOCS":0.1836,"MassiveIntentClassification":0.48717687254901965,"STS13":0.8327133775815649,"WinoGrande":0.19654,"TwitterURLCorpus":0.8722052422554326,"STS12":0.6979701994332693,"STS14":0.7609025403033497,"BornholmBitextMining":0.413112,"STSBenchmark":0.8316780387096034,"NorwegianCourtsBitextMining":0.920322,"ToxicConversationsClassification":0.722926,"STS15":0.8611791184256355,"TempReasonL1":0.01679,"TRECCOVID":0.68474,"ArguAna":0.57437,"SprintDuplicateQuestions":0.921694459308967,"CovidRetrieval":0.57211,"SpartQA":0.04227,"DalajClassification":0.50045},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":211,"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":{"SICK-R":0.88411,"SCIDOCS":0.32675,"STS13":0.94068,"TwitterURLCorpus":0.935961,"STS12":0.863966,"BiorxivClusteringP2P.v2":0.505478,"STS14":0.904144,"STSBenchmark":0.935493,"ToxicConversationsClassification":0.916992,"STS15":0.937217,"MedrxivClusteringP2P.v2":0.463035,"TRECCOVID":0.94949,"ArguAna":0.76608,"SprintDuplicateQuestions":0.976531,"ArXivHierarchicalClusteringP2P":0.654871,"ArXivHierarchicalClusteringS2S":0.64657,"StackExchangeClustering.v2":0.79333},"scoresByCustomGroup":{},"trainedOnTasks":["MedrxivClusteringP2P.v2","SprintDuplicateQuestions","TwitterURLCorpus"],"experiments":null},{"rank":212,"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":{"SICK-R":0.846631,"SCIDOCS":0.19865,"STS13":0.880014,"CEDRClassification":0.698087,"TwitterURLCorpus":0.855343,"STS12":0.71922,"BiorxivClusteringP2P.v2":0.527805,"STS14":0.824645,"STSBenchmark":0.871684,"ToxicConversationsClassification":0.902002,"STS15":0.879416,"MedrxivClusteringP2P.v2":0.484833,"TRECCOVID":0.8188,"RuBQReranking":0.805069,"ArguAna":0.47124,"SprintDuplicateQuestions":0.944659,"TERRa":0.795677,"ArXivHierarchicalClusteringP2P":0.664339,"ArXivHierarchicalClusteringS2S":0.653188,"StackExchangeClustering.v2":0.682264},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":213,"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":{"SICK-R":0.848918,"SCIDOCS":0.27257,"STS13":0.904385,"TwitterURLCorpus":0.881301,"STS12":0.817878,"BiorxivClusteringP2P.v2":0.535128,"STS14":0.882823,"STSBenchmark":0.914649,"ToxicConversationsClassification":0.927588,"STS15":0.919032,"MedrxivClusteringP2P.v2":0.469576,"TRECCOVID":0.901,"ArguAna":0.86948,"SprintDuplicateQuestions":0.974453,"ArXivHierarchicalClusteringP2P":0.655244,"ArXivHierarchicalClusteringS2S":0.639664,"StackExchangeClustering.v2":0.791455},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":214,"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":{"SICK-R":0.8283001707430855,"SCIDOCS":0.23785,"STS13":0.9000142148909681,"TwitterURLCorpus":0.8610715470590844,"STS12":0.7865009395911503,"LEMBPasskeyRetrieval":0.3725,"BiorxivClusteringP2P.v2":0.422383,"STS14":0.8496999168443673,"BornholmBitextMining":0.320184,"STSBenchmark":0.8876691675006461,"StackOverflowQA":0.83458,"ToxicConversationsClassification":0.679052734375,"STS15":0.8981153125001883,"MedrxivClusteringP2P.v2":0.370816,"TRECCOVID":0.69163,"ArguAna":0.65989,"LegalBenchCorporateLobbying":0.93317,"SprintDuplicateQuestions":0.9687211054415706,"ArXivHierarchicalClusteringP2P":0.612698,"ArXivHierarchicalClusteringS2S":0.600829,"AILAStatutes":0.27288},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":215,"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":{"ScalaClassification":0.5055540000000001,"SICK-R":0.831959,"MassiveIntentClassification":0.5983542745098039,"STS13":0.86321,"TwitterURLCorpus":0.859149,"TwitterHjerneRetrieval":0.82596,"STS12":0.744819,"BiorxivClusteringP2P.v2":0.416871,"STS14":0.799945,"BornholmBitextMining":0.430605,"STSBenchmark":0.8477,"StackOverflowQA":0.97168,"NorwegianCourtsBitextMining":0.924708,"ToxicConversationsClassification":0.62959,"STS15":0.864802,"MedrxivClusteringP2P.v2":0.367373,"NordicLangClassification":0.5028,"SwednClusteringP2P":0.330787,"SprintDuplicateQuestions":0.934651,"ArXivHierarchicalClusteringP2P":0.5591,"ArXivHierarchicalClusteringS2S":0.579447,"DalajClassification":0.499212,"StackExchangeClustering.v2":0.620353},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":216,"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":{"SICK-R":0.826039,"SCIDOCS":0.21042,"STS13":0.903475,"TwitterURLCorpus":0.874423,"STS12":0.781241,"BiorxivClusteringP2P.v2":0.408443,"STS14":0.854977,"STSBenchmark":0.891067,"StackOverflowQA":0.73454,"ToxicConversationsClassification":0.880615,"STS15":0.90201,"MedrxivClusteringP2P.v2":0.366714,"TRECCOVID":0.84907,"ArguAna":0.57976,"SprintDuplicateQuestions":0.964921,"ArXivHierarchicalClusteringP2P":0.573169,"ArXivHierarchicalClusteringS2S":0.561114,"AILAStatutes":0.35394,"StackExchangeClustering.v2":0.909305},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":217,"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":{"Retrieval":0.6647961153561108,"InstructionReranking":0.02630333333333333},"scoresByTask":{"SCIDOCS":0.30776,"WinoGrande":0.75611,"TwitterHjerneRetrieval":0.79299,"LEMBPasskeyRetrieval":0.7875,"StackOverflowQA":0.94219,"News21InstructionRetrieval":0.020533,"TempReasonL1":0.01689,"TRECCOVID":0.75097,"BelebeleRetrieval":0.7736756914893618,"StatcanDialogueDatasetRetrieval":0.37297,"MLQARetrieval":0.8030828571428571,"HagridRetrieval":0.9897,"WikipediaRetrievalMultilingual":0.92015375,"ArguAna":0.84855,"MIRACLRetrievalHardNegatives":0.6093377777777778,"LegalBenchCorporateLobbying":0.9618,"CovidRetrieval":0.8777,"Core17InstructionRetrieval":0.062985,"Robust04InstructionRetrieval":-0.004608,"SpartQA":0.07768,"AILAStatutes":0.37727},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","CovidRetrieval","SCIDOCS","TRECCOVID"],"experiments":null},{"rank":218,"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":{"SICK-R":0.8033862272962333,"SCIDOCS":0.15377,"STS13":0.8732740632069934,"TwitterURLCorpus":0.8614308838293689,"STS12":0.7911038370962654,"STS14":0.8317025300846403,"STSBenchmark":0.8535933660491871,"ToxicConversationsClassification":0.717348,"STS17":0.444267647597141,"STS15":0.8827564644599094,"TRECCOVID":0.46107,"ArguAna":0.39271,"SprintDuplicateQuestions":0.8901523683116712,"Tatoeba":0.16297119588135134},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":219,"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":{"Reranking":0.2970030694444445,"Retrieval":0.44238475790266857,"InstructionReranking":-0.029489666666666667},"scoresByTask":{"SCIDOCS":0.15783,"WikipediaRerankingMultilingual":0.83423875,"WinoGrande":0.55443,"TwitterHjerneRetrieval":0.25955,"LEMBPasskeyRetrieval":1.0,"StackOverflowQA":0.7026,"News21InstructionRetrieval":-0.029196,"TempReasonL1":0.01132,"TRECCOVID":0.62314,"BelebeleRetrieval":0.3756173670212766,"AlloprofReranking":0.44604,"StatcanDialogueDatasetRetrieval":0.06053,"RuBQReranking":0.38773,"MLQARetrieval":0.21068612244897958,"HagridRetrieval":0.97619,"WikipediaRetrievalMultilingual":0.780714375,"ArguAna":0.49276,"MIRACLRetrievalHardNegatives":0.2651177777777778,"LegalBenchCorporateLobbying":0.90946,"CovidRetrieval":0.15245,"Core17InstructionRetrieval":-0.020438,"VoyageMMarcoReranking":0.02558,"Robust04InstructionRetrieval":-0.038835,"SpartQA":0.21435,"AILAStatutes":0.21618,"T2Reranking":0.0188,"WebLINXCandidatesReranking":0.06962966666666666},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":220,"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":{"SICK-R":0.826716,"SCIDOCS":0.19919,"STS13":0.896765,"TwitterURLCorpus":0.925433,"STS12":0.807714,"BiorxivClusteringP2P.v2":0.47946,"STS14":0.855324,"STSBenchmark":0.890518,"ToxicConversationsClassification":0.85855,"STS15":0.907883,"MedrxivClusteringP2P.v2":0.420354,"TRECCOVID":0.5683,"ArguAna":0.59137,"SprintDuplicateQuestions":1.0,"ArXivHierarchicalClusteringP2P":0.660464,"ArXivHierarchicalClusteringS2S":0.637239,"StackExchangeClustering.v2":0.762617},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":221,"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":{"SICK-R":0.827028,"SCIDOCS":0.20753,"STS13":0.890416,"TwitterURLCorpus":0.862866,"STS12":0.819674,"BiorxivClusteringP2P.v2":0.492323,"STS14":0.848424,"STSBenchmark":0.89131,"ToxicConversationsClassification":0.922363,"STS15":0.900117,"MedrxivClusteringP2P.v2":0.441816,"TRECCOVID":0.78823,"ArguAna":0.62669,"SprintDuplicateQuestions":0.944949,"ArXivHierarchicalClusteringP2P":0.646583,"ArXivHierarchicalClusteringS2S":0.614904,"StackExchangeClustering.v2":0.744941},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":222,"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":{"SCIDOCS":0.27226,"WinoGrande":0.45303,"TwitterHjerneRetrieval":0.85971,"LEMBPasskeyRetrieval":0.9675,"StackOverflowQA":0.95704,"News21InstructionRetrieval":0.032759,"TempReasonL1":0.02856,"TRECCOVID":0.81405,"BelebeleRetrieval":0.8017622074468085,"StatcanDialogueDatasetRetrieval":0.5061825,"MLQARetrieval":0.8324698979591836,"HagridRetrieval":0.98822,"WikipediaRetrievalMultilingual":0.928861875,"ArguAna":0.66777,"MIRACLRetrievalHardNegatives":0.6007555555555555,"LegalBenchCorporateLobbying":0.96958,"Core17InstructionRetrieval":0.06699,"Robust04InstructionRetrieval":0.020356,"SpartQA":0.05365,"AILAStatutes":0.52196},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":223,"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":{"SICK-R":0.816987,"SCIDOCS":0.26702,"STS13":0.892963,"TwitterURLCorpus":0.857958,"STS12":0.816399,"BiorxivClusteringP2P.v2":0.841711,"STS14":0.854702,"STSBenchmark":0.87232,"ToxicConversationsClassification":0.920166,"STS15":0.890881,"MedrxivClusteringP2P.v2":0.719946,"TRECCOVID":0.6064,"ArguAna":0.61926,"SprintDuplicateQuestions":0.911723,"ArXivHierarchicalClusteringP2P":0.656034,"ArXivHierarchicalClusteringS2S":0.644966,"StackExchangeClustering.v2":0.788153},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":224,"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":{"SICK-R":0.814346,"SCIDOCS":0.2472,"STS13":0.879525,"TwitterURLCorpus":0.85895,"STS12":0.807027,"BiorxivClusteringP2P.v2":0.737536,"STS14":0.84095,"STSBenchmark":0.873581,"ToxicConversationsClassification":0.903613,"STS15":0.885788,"MedrxivClusteringP2P.v2":0.613148,"TRECCOVID":0.62039,"ArguAna":0.60974,"SprintDuplicateQuestions":0.940714,"ArXivHierarchicalClusteringP2P":0.6661,"ArXivHierarchicalClusteringS2S":0.642938,"StackExchangeClustering.v2":0.765009},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","StackExchangeClustering.v2","ToxicConversationsClassification"],"experiments":null},{"rank":225,"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":{"Retrieval":0.6296295882350181,"InstructionReranking":0.0009466666666666663},"scoresByTask":{"SCIDOCS":0.26337,"WinoGrande":0.67738,"TwitterHjerneRetrieval":0.70459,"LEMBPasskeyRetrieval":0.7725,"StackOverflowQA":0.91315,"News21InstructionRetrieval":-0.000653,"TempReasonL1":0.01177,"TRECCOVID":0.72363,"BelebeleRetrieval":0.6605966755319149,"StatcanDialogueDatasetRetrieval":0.31310499999999997,"MLQARetrieval":0.7293028571428573,"HagridRetrieval":0.98646,"WikipediaRetrievalMultilingual":0.8892825,"ArguAna":0.81503,"MIRACLRetrievalHardNegatives":0.6234755555555556,"LegalBenchCorporateLobbying":0.95004,"CovidRetrieval":0.86711,"Core17InstructionRetrieval":0.031015,"Robust04InstructionRetrieval":-0.027522,"SpartQA":0.08564,"AILAStatutes":0.3469},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna","CovidRetrieval","SCIDOCS","TRECCOVID"],"experiments":null},{"rank":226,"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":{"SICK-R":0.81625,"SCIDOCS":0.34529,"STS13":0.881872,"TwitterURLCorpus":0.871156,"STS12":0.785685,"BiorxivClusteringP2P.v2":0.406559,"STS14":0.840718,"STSBenchmark":0.883237,"ToxicConversationsClassification":0.975928,"STS15":0.894459,"MedrxivClusteringP2P.v2":0.350177,"TRECCOVID":0.82747,"ArguAna":0.89786,"SprintDuplicateQuestions":0.920854,"ArXivHierarchicalClusteringP2P":0.559641,"ArXivHierarchicalClusteringS2S":0.593684,"StackExchangeClustering.v2":0.561311},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","STS12","STS22.v2","STSBenchmark","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":227,"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":{"SICK-R":0.713409,"SCIDOCS":0.2495,"STS13":0.840914,"TwitterURLCorpus":0.833369,"STS12":0.670177,"LEMBPasskeyRetrieval":0.8175,"BiorxivClusteringP2P.v2":0.418412,"STS14":0.747689,"STSBenchmark":0.791728,"StackOverflowQA":0.91804,"ToxicConversationsClassification":0.620801,"STS15":0.853734,"MedrxivClusteringP2P.v2":0.361477,"TRECCOVID":0.70565,"ArguAna":0.59215,"MIRACLRetrievalHardNegatives":0.1920088888888889,"SprintDuplicateQuestions":0.946306,"ArXivHierarchicalClusteringP2P":0.590566,"ArXivHierarchicalClusteringS2S":0.573636,"AILAStatutes":0.28331,"StackExchangeClustering.v2":0.595758},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2"],"experiments":null},{"rank":228,"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":{"SCIDOCS":0.31032,"WinoGrande":0.90418,"TwitterHjerneRetrieval":0.85349,"LEMBPasskeyRetrieval":0.85,"StackOverflowQA":0.96206,"TempReasonL1":0.04175,"TRECCOVID":0.90026,"BelebeleRetrieval":0.8798778989361702,"StatcanDialogueDatasetRetrieval":0.7471425,"MLQARetrieval":0.8480105102040816,"HagridRetrieval":0.99018,"WikipediaRetrievalMultilingual":0.933155,"ArguAna":0.86338,"MIRACLRetrievalHardNegatives":0.7306338888888889,"LegalBenchCorporateLobbying":0.95598,"CovidRetrieval":0.8777,"SpartQA":0.90919,"AILAStatutes":0.83115},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":229,"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":{"SICK-R":0.806254,"SCIDOCS":0.18689,"STS13":0.888314,"TwitterURLCorpus":0.854516,"STS12":0.773629,"BiorxivClusteringP2P.v2":0.420003,"STS14":0.832192,"STSBenchmark":0.872129,"StackOverflowQA":0.7034,"ToxicConversationsClassification":0.668457,"STS15":0.880785,"MedrxivClusteringP2P.v2":0.377913,"TRECCOVID":0.67331,"ArguAna":0.61227,"SprintDuplicateQuestions":0.96575,"ArXivHierarchicalClusteringP2P":0.602909,"ArXivHierarchicalClusteringS2S":0.533868,"AILAStatutes":0.19177,"StackExchangeClustering.v2":0.581902},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":230,"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":{"SICK-R":0.817013,"SCIDOCS":0.19761,"STS13":0.828023,"TwitterURLCorpus":0.864542,"STS12":0.805676,"BiorxivClusteringP2P.v2":0.384823,"STS14":0.813296,"STSBenchmark":0.868227,"ToxicConversationsClassification":0.649951,"STS15":0.897112,"MedrxivClusteringP2P.v2":0.358265,"TRECCOVID":0.69714,"GermanSTSBenchmark":0.85012,"ArguAna":0.57466,"SprintDuplicateQuestions":0.94644,"ArXivHierarchicalClusteringP2P":0.56833,"ArXivHierarchicalClusteringS2S":0.563596,"StackExchangeClustering.v2":0.533927},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":231,"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":{"SICK-R":0.6293971145260584,"SCIDOCS":0.0179,"STS13":0.6278607195958339,"TwitterURLCorpus":0.8353209944887666,"PpcPC":0.8536544548691205,"STS12":0.6546320476565409,"STS14":0.5753693422381856,"BornholmBitextMining":0.47370268620268613,"WikiCitiesClustering":0.5071744674029636,"STSBenchmark":0.6739086924655895,"NorwegianCourtsBitextMining":0.9298245614035088,"ToxicConversationsClassification":0.6728359999999999,"STS17":0.7583046503470691,"STS15":0.7425087788257944,"TRECCOVID":0.24823,"NordicLangClassification":0.48403333333333337,"ArguAna":0.18295000000000003,"SprintDuplicateQuestions":0.7741658577240027,"CovidRetrieval":0.10382,"PAC":0.7386620330147698,"DalajClassification":0.4975225225225225,"T2Reranking":0.5534794621490011,"Tatoeba":0.8211026380863075,"PolEmo2.0-OUT":0.38400809716599194},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":232,"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":{"ScalaClassification":0.51027825,"SICK-R":0.789699,"MassiveIntentClassification":0.5902265392156864,"STS13":0.807514,"TwitterURLCorpus":0.841848,"TwitterHjerneRetrieval":0.88518,"STS12":0.678601,"BiorxivClusteringP2P.v2":0.408104,"STS14":0.725824,"BornholmBitextMining":0.436481,"STSBenchmark":0.756297,"NorwegianCourtsBitextMining":0.924708,"ToxicConversationsClassification":0.618457,"STS15":0.790754,"MedrxivClusteringP2P.v2":0.354833,"NordicLangClassification":0.5891,"SwednClusteringP2P":0.358487,"SprintDuplicateQuestions":0.808624,"ArXivHierarchicalClusteringP2P":0.57776,"ArXivHierarchicalClusteringS2S":0.570735,"DalajClassification":0.498198,"StackExchangeClustering.v2":0.578132},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":233,"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":{"SICK-R":0.833188,"SCIDOCS":0.31628,"STS13":0.885889,"TwitterURLCorpus":0.957069,"STS12":0.84796,"STS14":0.871524,"STSBenchmark":0.861931,"ToxicConversationsClassification":0.964502,"STS15":0.891791,"TRECCOVID":0.84663,"ArguAna":0.77792,"SprintDuplicateQuestions":0.968835,"CovidRetrieval":0.96057,"T2Reranking":0.728345},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","T2Reranking","ToxicConversationsClassification"],"experiments":null},{"rank":234,"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":{"SICK-R":0.800756,"SCIDOCS":0.22138,"STS13":0.822776,"TwitterURLCorpus":0.859808,"STS12":0.678271,"BiorxivClusteringP2P.v2":0.476,"STS14":0.782074,"STSBenchmark":0.840544,"ToxicConversationsClassification":0.845605,"STS15":0.870581,"MedrxivClusteringP2P.v2":0.460144,"TRECCOVID":0.77264,"ArguAna":0.77873,"SprintDuplicateQuestions":0.935964,"ArXivHierarchicalClusteringP2P":0.645156,"ArXivHierarchicalClusteringS2S":0.643711,"StackExchangeClustering.v2":0.538504},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","ArguAna","BiorxivClusteringP2P.v2","MassiveIntentClassification","STS12","STS22.v2","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":235,"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":{"SICK-R":0.8018231249099851,"SCIDOCS":0.14155,"STS13":0.8584897342040492,"TwitterURLCorpus":0.8604575990028458,"STS12":0.780511871449349,"STS14":0.8218926664662587,"STSBenchmark":0.8552030817522575,"ToxicConversationsClassification":0.14328836562980976,"STS17":0.3869374269965659,"STS15":0.8745860981918768,"TRECCOVID":0.40699,"AmazonCounterfactualClassification":0.3909785698177479,"ArguAna":0.44846,"SprintDuplicateQuestions":0.9122814257221482},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":236,"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":null,"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":{"SCIDOCS":0.23868,"WinoGrande":0.82399,"TwitterHjerneRetrieval":0.75674,"LEMBPasskeyRetrieval":0.895,"StackOverflowQA":0.9361,"TempReasonL1":0.01187,"TRECCOVID":0.8561,"BelebeleRetrieval":0.7787716489361701,"StatcanDialogueDatasetRetrieval":0.5653075,"MLQARetrieval":0.8334497959183673,"HagridRetrieval":0.98769,"WikipediaRetrievalMultilingual":0.926849375,"ArguAna":0.69988,"MIRACLRetrievalHardNegatives":0.6624183333333333,"LegalBenchCorporateLobbying":0.94849,"CovidRetrieval":0.77496,"SpartQA":0.23301,"AILAStatutes":0.60998},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":237,"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":{"SICK-R":0.688621,"SCIDOCS":0.24059,"STS13":0.805687,"TwitterURLCorpus":0.827706,"STS12":0.674098,"LEMBPasskeyRetrieval":0.7975,"BiorxivClusteringP2P.v2":0.408814,"STS14":0.729385,"STSBenchmark":0.77103,"StackOverflowQA":0.90043,"ToxicConversationsClassification":0.593701,"STS15":0.838624,"MedrxivClusteringP2P.v2":0.364628,"TRECCOVID":0.64666,"ArguAna":0.54398,"MIRACLRetrievalHardNegatives":0.17728611111111112,"SprintDuplicateQuestions":0.949257,"ArXivHierarchicalClusteringP2P":0.571,"ArXivHierarchicalClusteringS2S":0.58042,"AILAStatutes":0.22772,"StackExchangeClustering.v2":0.582824},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","StackExchangeClustering.v2"],"experiments":null},{"rank":238,"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":{"SICK-R":0.807374,"SCIDOCS":0.17339,"STS13":0.838087,"TwitterURLCorpus":0.857651,"STS12":0.766568,"BiorxivClusteringP2P.v2":0.507344,"STS14":0.820843,"STSBenchmark":0.863853,"ToxicConversationsClassification":0.811133,"STS15":0.871066,"MedrxivClusteringP2P.v2":0.438539,"TRECCOVID":0.81392,"ArguAna":0.58237,"SprintDuplicateQuestions":0.891608,"ArXivHierarchicalClusteringP2P":0.633971,"ArXivHierarchicalClusteringS2S":0.595157,"StackExchangeClustering.v2":0.64353},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":239,"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":{"ScalaClassification":0.50131825,"SICK-R":0.797786,"MassiveIntentClassification":0.36835016666666665,"STS13":0.831122,"TwitterURLCorpus":0.848074,"TwitterHjerneRetrieval":0.59473,"STS12":0.729377,"BiorxivClusteringP2P.v2":0.412579,"STS14":0.772145,"BornholmBitextMining":0.214653,"STSBenchmark":0.847834,"NorwegianCourtsBitextMining":0.876253,"ToxicConversationsClassification":0.647559,"STS15":0.852954,"MedrxivClusteringP2P.v2":0.358555,"NordicLangClassification":0.546,"SwednClusteringP2P":0.41143549999999995,"SprintDuplicateQuestions":0.932865,"ArXivHierarchicalClusteringP2P":0.583721,"ArXivHierarchicalClusteringS2S":0.581643,"DalajClassification":0.500676,"StackExchangeClustering.v2":0.584565},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":240,"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":{"SCIDOCS":0.23465,"WinoGrande":0.86081,"TwitterHjerneRetrieval":0.77574,"LEMBPasskeyRetrieval":0.39,"StackOverflowQA":0.92365,"TempReasonL1":0.01694,"TRECCOVID":0.80817,"BelebeleRetrieval":0.8261048404255319,"StatcanDialogueDatasetRetrieval":0.43617,"MLQARetrieval":0.7932366326530612,"HagridRetrieval":0.98781,"WikipediaRetrievalMultilingual":0.912228125,"ArguAna":0.82709,"MIRACLRetrievalHardNegatives":0.6201983333333333,"LegalBenchCorporateLobbying":0.95178,"CovidRetrieval":0.79982,"SpartQA":0.85267,"AILAStatutes":0.74618},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":241,"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":{"SwahiliNewsClassification":0.579541,"SiswatiNewsClassification":0.475,"NollySentiBitextMining":0.81423975,"TswanaNewsClassification":0.481314,"IsiZuluNewsClassification":0.362101,"AfriSentiClassification":0.4893725},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":242,"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":null,"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":{"SCIDOCS":0.22829,"WinoGrande":0.71851,"TwitterHjerneRetrieval":0.70042,"LEMBPasskeyRetrieval":0.7675,"StackOverflowQA":0.90652,"TempReasonL1":0.01432,"TRECCOVID":0.85901,"BelebeleRetrieval":0.728550079787234,"StatcanDialogueDatasetRetrieval":0.41137,"MLQARetrieval":0.7898453061224489,"HagridRetrieval":0.98769,"WikipediaRetrievalMultilingual":0.909783125,"ArguAna":0.65935,"MIRACLRetrievalHardNegatives":0.6856183333333333,"LegalBenchCorporateLobbying":0.94363,"CovidRetrieval":0.77374,"SpartQA":0.09172,"AILAStatutes":0.59838},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":243,"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":{"SICK-R":0.79551,"SCIDOCS":0.21317,"STS13":0.835213,"TwitterURLCorpus":0.854324,"STS12":0.743335,"BiorxivClusteringP2P.v2":0.437065,"STS14":0.806162,"STSBenchmark":0.862486,"ToxicConversationsClassification":0.782129,"STS15":0.868569,"MedrxivClusteringP2P.v2":0.380406,"TRECCOVID":0.74025,"ArguAna":0.56614,"SprintDuplicateQuestions":0.954849,"ArXivHierarchicalClusteringP2P":0.585069,"ArXivHierarchicalClusteringS2S":0.566652,"StackExchangeClustering.v2":0.608474},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":244,"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":{"SICK-R":0.785438,"SCIDOCS":0.19335,"STS13":0.845928,"TwitterURLCorpus":0.859754,"STS12":0.776489,"BiorxivClusteringP2P.v2":0.449109,"STS14":0.812592,"STSBenchmark":0.84488,"ToxicConversationsClassification":0.805225,"STS15":0.868844,"MedrxivClusteringP2P.v2":0.396586,"TRECCOVID":0.5142,"ArguAna":0.56547,"SprintDuplicateQuestions":0.942545,"ArXivHierarchicalClusteringP2P":0.630408,"ArXivHierarchicalClusteringS2S":0.609388,"StackExchangeClustering.v2":0.733945},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArXivHierarchicalClusteringP2P","ArXivHierarchicalClusteringS2S","BiorxivClusteringP2P.v2","MassiveIntentClassification","MedrxivClusteringP2P.v2","SprintDuplicateQuestions","StackExchangeClustering.v2","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":245,"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":{"SICK-R":0.8023323049562938,"SCIDOCS":0.16866,"STS13":0.8646353345398777,"TwitterURLCorpus":0.8512793629594004,"STS12":0.7767205400194226,"BiorxivClusteringP2P.v2":0.42379305360156805,"STS14":0.822308326515779,"STSBenchmark":0.8758965071293597,"ToxicConversationsClassification":0.660888671875,"STS15":0.8838151748352273,"MedrxivClusteringP2P.v2":0.3750034085505554,"TRECCOVID":0.50744,"ArguAna":0.59995,"SprintDuplicateQuestions":0.967121872281016,"ArXivHierarchicalClusteringP2P":0.5925977147544386,"ArXivHierarchicalClusteringS2S":0.5221771932333041,"StackExchangeClustering.v2":0.5727667012431218},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":246,"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":{"SICK-R":0.78977,"SCIDOCS":0.20541,"MassiveIntentClassification":0.28793457843137255,"STS13":0.844662,"TwitterURLCorpus":0.853557,"STS12":0.763906,"BiorxivClusteringP2P.v2":0.409293,"STS14":0.819489,"STSBenchmark":0.864907,"StackOverflowQA":0.84068,"ToxicConversationsClassification":0.653271,"STS17":0.39474072727272724,"STS15":0.879465,"MedrxivClusteringP2P.v2":0.358033,"TRECCOVID":0.64475,"AmazonCounterfactualClassification":0.64083575,"ArguAna":0.6135,"SprintDuplicateQuestions":0.957401,"ArXivHierarchicalClusteringP2P":0.592023,"ArXivHierarchicalClusteringS2S":0.568276,"AILAStatutes":0.26093,"StackExchangeClustering.v2":0.558695,"STS22.v2":0.5162048888888889},"scoresByCustomGroup":{},"trainedOnTasks":["StackOverflowQA"],"experiments":null},{"rank":247,"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":{"SICK-R":0.828777,"SCIDOCS":0.2002,"MassiveIntentClassification":0.6152183627450981,"STS13":0.878014,"TwitterURLCorpus":0.866892,"STS12":0.795852,"BiorxivClusteringP2P.v2":0.406935,"STS14":0.836819,"STSBenchmark":0.876702,"ToxicConversationsClassification":0.679004,"STS17":0.8586923636363636,"STS15":0.880252,"MedrxivClusteringP2P.v2":0.36078,"TRECCOVID":0.6658,"AmazonCounterfactualClassification":0.788545125,"ArguAna":0.3963,"SprintDuplicateQuestions":0.908372,"ArXivHierarchicalClusteringP2P":0.580494,"ArXivHierarchicalClusteringS2S":0.554589,"StackExchangeClustering.v2":0.571035,"STS22.v2":0.680037611111111},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":248,"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":{"SICK-R":0.828194,"SCIDOCS":0.18307,"MassiveIntentClassification":0.5556954117647058,"STS13":0.861343,"TwitterURLCorpus":0.867746,"STS12":0.789016,"BiorxivClusteringP2P.v2":0.395239,"STS14":0.821596,"STSBenchmark":0.878322,"ToxicConversationsClassification":0.694678,"STS17":0.8407243636363636,"STS15":0.881208,"MedrxivClusteringP2P.v2":0.342231,"TRECCOVID":0.66253,"AmazonCounterfactualClassification":0.784137375,"ArguAna":0.41853,"SprintDuplicateQuestions":0.911695,"ArXivHierarchicalClusteringP2P":0.58018,"ArXivHierarchicalClusteringS2S":0.551633,"StackExchangeClustering.v2":0.574293,"STS22.v2":0.6591372222222223},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":249,"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":{"SICK-R":0.8104583513112122,"SCIDOCS":0.22215,"STS13":0.8498234585939103,"TwitterURLCorpus":0.8356538942001427,"STS12":0.7975387012744471,"STS14":0.807997969966883,"STSBenchmark":0.850995685206174,"ToxicConversationsClassification":0.7008300000000002,"News21InstructionRetrieval":0.006211249446095374,"STS15":0.8488671197763652,"TRECCOVID":0.75375,"ArguAna":0.62457,"MIRACLRetrievalHardNegatives":0.20365333333333335,"SprintDuplicateQuestions":0.9682857341435529,"Core17InstructionRetrieval":0.0010665328511154956,"Robust04InstructionRetrieval":-0.07828783530101747,"AILAStatutes":0.22147},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":250,"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":{"SICK-R":0.700404,"SCIDOCS":0.1578,"MassiveIntentClassification":0.27812264705882356,"STS13":0.764063,"STS12":0.643841,"STS14":0.693252,"STSBenchmark":0.759837,"STS17":0.3453303636363636,"STS15":0.801834,"TRECCOVID":0.55796,"AmazonCounterfactualClassification":0.606771875,"MIRACLRetrievalHardNegatives":0.11101333333333334,"SprintDuplicateQuestions":0.938448,"AILAStatutes":0.21796},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":251,"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":{"SICK-R":0.7997772392974231,"SCIDOCS":0.15966,"STS13":0.8880436421944282,"TwitterURLCorpus":0.8585801141070208,"STS12":0.7901729005661066,"STS14":0.843295761627281,"STSBenchmark":0.8392987130232213,"ToxicConversationsClassification":0.7094940000000001,"STS17":0.5095498022342105,"STS15":0.8889098990959153,"TRECCOVID":0.54772,"ArguAna":0.39397,"SprintDuplicateQuestions":0.9144235917485691,"Tatoeba":0.20981670318704512},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":252,"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":{"SICK-R":0.8001710844462341,"SCIDOCS":0.21298000000000003,"STS13":0.8385931509330394,"TwitterURLCorpus":0.8520370297495491,"STS12":0.7793462937801244,"STS14":0.815120009104048,"STSBenchmark":0.8595475815226863,"ToxicConversationsClassification":0.715942,"News21InstructionRetrieval":-0.0013215664258429544,"STS15":0.8733044482064973,"TRECCOVID":0.76447,"ArguAna":0.61487,"MIRACLRetrievalHardNegatives":0.18692777777777778,"SprintDuplicateQuestions":0.962635334753325,"Core17InstructionRetrieval":-0.026528676852285965,"Robust04InstructionRetrieval":-0.06536758524859693,"AILAStatutes":0.1811},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":253,"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":{"SICK-R":0.8046877899403398,"SCIDOCS":0.17173,"STS13":0.8893834486158684,"TwitterURLCorpus":0.8601198098811131,"STS12":0.7884633095838921,"STS14":0.8485684801116044,"STSBenchmark":0.8401139141474803,"ToxicConversationsClassification":0.13790144857405834,"STS15":0.8931982869751905,"TRECCOVID":0.59481,"ArguAna":0.39847,"SprintDuplicateQuestions":0.8891333217815992},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":254,"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":{"SICK-R":0.7985114978228225,"SCIDOCS":0.20811,"STS13":0.8595700719809299,"TwitterURLCorpus":0.8595034181607442,"STS12":0.8226959820528188,"STS14":0.8350251215846104,"STSBenchmark":0.8507318077272461,"ToxicConversationsClassification":0.893408203125,"STS15":0.8643707354974058,"TRECCOVID":0.79269,"ArguAna":0.57419,"SprintDuplicateQuestions":0.9608119314565551,"CovidRetrieval":0.83304,"STSB":0.809193543347324,"T2Reranking":0.6669331859736316},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","MassiveIntentClassification","TRECCOVID","ToxicConversationsClassification"],"experiments":null},{"rank":255,"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":{"SICK-R":0.8330200195593044,"SCIDOCS":0.28538,"STS13":0.8734287142701457,"TwitterURLCorpus":0.8737453072241572,"STS12":0.8098590815911939,"STS14":0.8438843815801556,"STSBenchmark":0.8846646307403642,"ToxicConversationsClassification":0.923681640625,"STS15":0.8974723322749233,"TRECCOVID":0.7717500000000002,"ArguAna":0.76019,"SprintDuplicateQuestions":0.969963756118777},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":256,"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":{"SICK-R":0.8381274073153919,"SCIDOCS":0.27512,"STS13":0.8654428612066569,"TwitterURLCorpus":0.8750024399984746,"STS12":0.7906871408688199,"STS14":0.8431789230181544,"STSBenchmark":0.8821684368202543,"ToxicConversationsClassification":0.9228515625,"STS15":0.8969254612113068,"TRECCOVID":0.69733,"ArguAna":0.77317,"SprintDuplicateQuestions":0.969830495771001},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":257,"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":{"SICK-R":0.8386733787791423,"SCIDOCS":0.2525865384510787,"STS13":0.8658640009300751,"TwitterURLCorpus":0.8786355195357181,"STS12":0.7814269330480724,"STS14":0.828292579957437,"STSBenchmark":0.8842076443255168,"ToxicConversationsClassification":0.93173828125,"STS15":0.8777203714228863,"TRECCOVID":0.7907987651251461,"ArguAna":0.8307967801208441,"SprintDuplicateQuestions":0.9726819027722253},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":258,"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":{"SICK-R":0.7534808277034776,"SCIDOCS":0.27378,"STS13":0.8098090253728394,"TwitterURLCorpus":0.845858781355044,"STS12":0.7724549887905519,"STS14":0.7636798509005328,"STSBenchmark":0.8310901632378086,"ToxicConversationsClassification":0.86564,"STS15":0.8447549220803403,"TRECCOVID":0.52604,"ArguAna":0.6459600000000001,"SprintDuplicateQuestions":0.9786562522779887,"CovidRetrieval":0.79598,"T2Reranking":0.6654177017978035},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":259,"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":{"SICK-R":0.7398553311584508,"SCIDOCS":0.23172,"STS13":0.844847436140129,"TwitterURLCorpus":0.8405164646221582,"STS12":0.7205290668592297,"STS14":0.7791329577609623,"STSBenchmark":0.8339851992175911,"ToxicConversationsClassification":0.8875759999999999,"STS15":0.8762293916855751,"TRECCOVID":0.59243,"ArguAna":0.61524,"SprintDuplicateQuestions":0.9773324334051959,"CovidRetrieval":0.7834299999999998,"T2Reranking":0.6673038448968596},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":260,"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":{"SICK-R":0.64738,"SCIDOCS":0.13223,"STS13":0.725735,"TwitterURLCorpus":0.817494,"STS12":0.604289,"BiorxivClusteringP2P.v2":0.334734,"STS14":0.696221,"STSBenchmark":0.740221,"StackOverflowQA":0.55907,"ToxicConversationsClassification":0.680859,"STS15":0.80066,"MedrxivClusteringP2P.v2":0.305872,"TRECCOVID":0.44603,"ArguAna":0.4441,"MIRACLRetrievalHardNegatives":0.1078188888888889,"SprintDuplicateQuestions":0.916473,"ArXivHierarchicalClusteringP2P":0.46593,"ArXivHierarchicalClusteringS2S":0.385963,"AILAStatutes":0.22184,"StackExchangeClustering.v2":0.303889},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":261,"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":{"SICK-R":0.7339148682744103,"SCIDOCS":0.15506,"STS13":0.8219443204826279,"TwitterURLCorpus":0.8489356590044765,"STS12":0.7033026062698798,"STS14":0.7716269014670295,"STSBenchmark":0.7760134889468366,"ToxicConversationsClassification":0.686532,"STS17":0.4231153505668454,"STS15":0.8631247335070001,"TRECCOVID":0.56681,"ArguAna":0.52086,"SprintDuplicateQuestions":0.9505365589236207},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":262,"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":{"SICK-R":0.8188046945336663,"SCIDOCS":0.2086,"STS13":0.8712110799581851,"TwitterURLCorpus":0.8791825594329685,"STS12":0.7863991285161868,"STS14":0.8355263671417923,"STSBenchmark":0.8827561759951514,"ToxicConversationsClassification":0.7587890625,"STS15":0.9009569633194636,"TRECCOVID":0.8367999999999999,"ArguAna":0.6562300000000001,"SprintDuplicateQuestions":0.9543878917155146},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","STS12","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":263,"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":{"SICK-R":0.779943,"SCIDOCS":0.24317,"MassiveIntentClassification":0.5433203529411764,"STS13":0.781292,"TwitterURLCorpus":0.798057,"STS12":0.705632,"BiorxivClusteringP2P.v2":0.408004,"STS14":0.70343,"STSBenchmark":0.772862,"ToxicConversationsClassification":0.56543,"STS17":0.7829399090909092,"STS15":0.776699,"MedrxivClusteringP2P.v2":0.354644,"TRECCOVID":0.79441,"AmazonCounterfactualClassification":0.600388125,"ArguAna":0.50514,"SprintDuplicateQuestions":0.85755,"ArXivHierarchicalClusteringP2P":0.586593,"ArXivHierarchicalClusteringS2S":0.596863,"StackExchangeClustering.v2":0.494899,"STS22.v2":0.6814332777777777},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":264,"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":{"SICK-R":0.7936960687383745,"SCIDOCS":0.21918000000000004,"STS13":0.8470630905216271,"TwitterURLCorpus":0.8551101933260743,"STS12":0.7438364712099211,"STS14":0.8010314039230199,"STSBenchmark":0.8603947178806887,"ToxicConversationsClassification":0.83978,"STS15":0.8716293477217867,"TRECCOVID":0.73135,"ArguAna":0.63486,"MIRACLRetrievalHardNegatives":0.13397222222222224,"SprintDuplicateQuestions":0.9500212367664589,"AILAStatutes":0.29135},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":265,"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":{"SICK-R":0.8300728009929533,"SCIDOCS":0.2105,"STS13":0.8684017260596792,"TwitterURLCorpus":0.8655850743866761,"STS12":0.7885484854952163,"STS14":0.8404244912638237,"STSBenchmark":0.887218677688666,"ToxicConversationsClassification":0.7101119999999999,"STS15":0.8871661848841297,"TRECCOVID":0.79253,"ArguAna":0.56535,"SprintDuplicateQuestions":0.9683157940825446},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":266,"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":{"SICK-R":0.7901310000000001,"SCIDOCS":0.22847,"STS13":0.860453,"TwitterURLCorpus":0.8639949999999998,"STS12":0.803531,"STS14":0.8296810000000001,"STSBenchmark":0.877139,"ToxicConversationsClassification":0.8140139999999999,"STS15":0.8806540000000002,"TRECCOVID":0.8055,"ArguAna":0.74957,"SprintDuplicateQuestions":0.972412},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":267,"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":{"SICK-R":0.794731,"SCIDOCS":0.22765,"MassiveIntentClassification":0.5448166764705882,"STS13":0.795747,"TwitterURLCorpus":0.780083,"STS12":0.731984,"BiorxivClusteringP2P.v2":0.419391,"STS14":0.698088,"STSBenchmark":0.761849,"ToxicConversationsClassification":0.594727,"STS17":0.794998090909091,"STS15":0.776018,"MedrxivClusteringP2P.v2":0.361663,"TRECCOVID":0.80033,"AmazonCounterfactualClassification":0.6027785,"ArguAna":0.39721,"SprintDuplicateQuestions":0.92346,"ArXivHierarchicalClusteringP2P":0.577803,"ArXivHierarchicalClusteringS2S":0.576711,"StackExchangeClustering.v2":0.50585,"STS22.v2":0.07630216666666666},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":268,"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":{"SICK-R":0.8204792579356291,"SCIDOCS":0.22782,"STS13":0.9039810997063387,"TwitterURLCorpus":0.8553503846009763,"STS12":0.7876929696642694,"STS14":0.8544794976383963,"STSBenchmark":0.8919783009521629,"ToxicConversationsClassification":0.7152679999999999,"STS15":0.9001162604967037,"TRECCOVID":0.68637,"ArguAna":0.63629,"SprintDuplicateQuestions":0.9607646831090695},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":269,"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":{"SICK-R":0.725971,"SCIDOCS":0.25287,"MassiveIntentClassification":0.568888205882353,"STS13":0.74591,"TwitterURLCorpus":0.739619,"STS12":0.607236,"BiorxivClusteringP2P.v2":0.409231,"STS14":0.690513,"STSBenchmark":0.692817,"ToxicConversationsClassification":0.564795,"STS17":0.7121258181818182,"STS15":0.766405,"MedrxivClusteringP2P.v2":0.352851,"TRECCOVID":0.69372,"AmazonCounterfactualClassification":0.64121025,"ArguAna":0.73318,"SprintDuplicateQuestions":0.727289,"ArXivHierarchicalClusteringP2P":0.583027,"ArXivHierarchicalClusteringS2S":0.605773,"StackExchangeClustering.v2":0.548027,"STS22.v2":0.14901244444444445},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":270,"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":{"SICK-R":0.839379272617096,"SCIDOCS":0.22961,"STS13":0.848327309083665,"TwitterURLCorpus":0.8656353001037664,"STS12":0.7926752176661364,"STS14":0.829394255552954,"STSBenchmark":0.880472708354572,"ToxicConversationsClassification":0.705856,"STS15":0.8808995363382608,"TRECCOVID":0.80337,"ArguAna":0.62779,"SprintDuplicateQuestions":0.9509301057928796},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":271,"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":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":"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":{"SICK-R":0.656685,"SCIDOCS":0.13587,"STS13":0.775936,"TwitterURLCorpus":0.827974,"STS12":0.62725,"BiorxivClusteringP2P.v2":0.341639,"STS14":0.729035,"STSBenchmark":0.768385,"ToxicConversationsClassification":0.704346,"STS15":0.807592,"MedrxivClusteringP2P.v2":0.332577,"TRECCOVID":0.41931,"ArguAna":0.42864,"SprintDuplicateQuestions":0.925546,"ArXivHierarchicalClusteringP2P":0.564517,"ArXivHierarchicalClusteringS2S":0.510737,"StackExchangeClustering.v2":0.515282},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":272,"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":{"SICK-R":0.757607,"SCIDOCS":0.2044,"STS13":0.866355,"TwitterURLCorpus":0.833393,"STS12":0.748213,"STS14":0.787583,"STSBenchmark":0.854068,"StackOverflowQA":0.90876,"ToxicConversationsClassification":0.815381,"STS15":0.853865,"TRECCOVID":0.75748,"ArguAna":0.74555,"SprintDuplicateQuestions":0.974055},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":273,"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":{"MIRACLRetrievalHardNegatives":0.5983233333333333,"AILAStatutes":0.86595},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":274,"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":{"SICK-R":0.817469727066432,"SCIDOCS":0.19580000000000003,"STS13":0.8662037823380984,"TwitterURLCorpus":0.859835303311168,"STS12":0.7851011398910949,"STS14":0.8305697553913335,"STSBenchmark":0.8776870289783061,"ToxicConversationsClassification":0.714178,"STS15":0.8838581627185446,"TRECCOVID":0.64138,"ArguAna":0.64563,"SprintDuplicateQuestions":0.9683057412333741},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":275,"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":{"SICK-R":0.66508,"SCIDOCS":0.13693,"STS13":0.73606,"TwitterURLCorpus":0.821258,"STS12":0.613784,"BiorxivClusteringP2P.v2":0.363843,"STS14":0.704635,"STSBenchmark":0.740959,"ToxicConversationsClassification":0.676025,"STS15":0.811203,"MedrxivClusteringP2P.v2":0.340447,"TRECCOVID":0.4469,"ArguAna":0.44878,"SprintDuplicateQuestions":0.923928,"ArXivHierarchicalClusteringP2P":0.56268,"ArXivHierarchicalClusteringS2S":0.526903,"StackExchangeClustering.v2":0.492904},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":276,"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":{"SICK-R":0.8225303886615637,"SCIDOCS":0.17957,"STS13":0.855228883863618,"TwitterURLCorpus":0.86227146559573,"STS12":0.7827678362978093,"STS14":0.8248847836687274,"STSBenchmark":0.8715751321128135,"ToxicConversationsClassification":0.6992240000000001,"STS15":0.8876235312662311,"TRECCOVID":0.80411,"ArguAna":0.51663,"SprintDuplicateQuestions":0.9624728474711715},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":277,"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":{"SICK-R":0.7744919890597407,"SCIDOCS":0.21780999999999998,"STS13":0.8612368715292688,"TwitterURLCorpus":0.8588088882163336,"STS12":0.742212823495219,"STS14":0.7888155361224833,"STSBenchmark":0.8554441587714372,"ToxicConversationsClassification":0.727734375,"STS15":0.875038962579188,"TRECCOVID":0.7938199999999999,"ArguAna":0.71996,"SprintDuplicateQuestions":0.9530006120252773},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification","ArguAna","STSBenchmark","ToxicConversationsClassification"],"experiments":null},{"rank":278,"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":{"SICK-R":0.7649462277620303,"SCIDOCS":0.21979000000000004,"STS13":0.879128142106699,"TwitterURLCorpus":0.8571776365526502,"STS12":0.7499867664033701,"STS14":0.8225544088807465,"STSBenchmark":0.819481311864648,"ToxicConversationsClassification":0.745162,"STS17":0.7400979227555564,"STS15":0.8787150169810871,"TRECCOVID":0.80746,"ArguAna":0.51312,"SprintDuplicateQuestions":0.9291719494015509,"Tatoeba":0.3824701279346904},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":279,"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":{"SICK-R":0.7992900705478994,"SCIDOCS":0.18587,"STS13":0.8613305071688859,"TwitterURLCorpus":0.8621246419992926,"STS12":0.7761671419416626,"STS14":0.8126767916144169,"STSBenchmark":0.8696704639052885,"ToxicConversationsClassification":0.674560546875,"STS15":0.8825330888676138,"TRECCOVID":0.84147,"ArguAna":0.48962000000000006,"SprintDuplicateQuestions":0.9203642221694546},"scoresByCustomGroup":{},"trainedOnTasks":["AmazonCounterfactualClassification"],"experiments":null},{"rank":280,"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":281,"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":512.0,"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":["ebind"],"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":512,"meanTask":null,"meanTaskType":null,"meanPublic":null,"meanPrivate":null,"scoresByTaskType":{},"scoresByTask":{"SICK-R":0.763171,"SCIDOCS":0.13224,"MassiveIntentClassification":0.2428470392156863,"STS13":0.699115,"TwitterURLCorpus":0.789839,"STS12":0.688575,"BiorxivClusteringP2P.v2":0.346831,"STS14":0.648397,"STSBenchmark":0.724238,"ToxicConversationsClassification":0.60332,"STS17":0.47103781818181817,"STS15":0.762918,"MedrxivClusteringP2P.v2":0.339654,"TRECCOVID":0.43863,"AmazonCounterfactualClassification":0.566830875,"ArguAna":0.20697,"SprintDuplicateQuestions":0.940143,"ArXivHierarchicalClusteringP2P":0.564564,"ArXivHierarchicalClusteringS2S":0.566479,"StackExchangeClustering.v2":0.607372,"STS22.v2":0.16217805555555553},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":282,"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":{"SICK-R":0.7924635891006621,"SCIDOCS":0.20190999999999998,"STS13":0.8185436343502378,"TwitterURLCorpus":0.8383585648120315,"STS12":0.7836856568042397,"STS14":0.8085052504637809,"STSBenchmark":0.8488533418425661,"ToxicConversationsClassification":0.688394,"STS15":0.8646858500002093,"TRECCOVID":0.7316400000000001,"ArguAna":0.58835,"SprintDuplicateQuestions":0.9654142419791388},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":283,"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":{"PunjabiNewsClassification":0.842038,"GujaratiNewsClassification":0.912291,"NepaliNewsClassification":0.970117,"IndicCrosslingualSTS":0.6141836666666667,"SentimentAnalysisHindi":0.760162},"scoresByCustomGroup":{},"trainedOnTasks":["SIB200ClusteringS2S","XNLI"],"experiments":null},{"rank":284,"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":{"PunjabiNewsClassification":0.80828,"GujaratiNewsClassification":0.845827,"NepaliNewsClassification":0.953174,"IndicCrosslingualSTS":0.6167530833333333,"SentimentAnalysisHindi":0.676978},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":285,"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":{"PunjabiNewsClassification":0.607006,"IndicLangClassification":0.55165,"GujaratiNewsClassification":0.463354,"NepaliNewsClassification":0.924561,"IndicCrosslingualSTS":0.06981016666666666,"SentimentAnalysisHindi":0.605507},"scoresByCustomGroup":{},"trainedOnTasks":["SentimentAnalysisHindi","XNLI"],"experiments":null},{"rank":286,"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":{"SICK-R":0.7429383974498337,"SCIDOCS":0.15881,"STS13":0.8271549276218907,"TwitterURLCorpus":0.851341871186482,"STS12":0.701248199396564,"STS14":0.7824131910280874,"STSBenchmark":0.7772574493807944,"ToxicConversationsClassification":0.684844,"STS15":0.8625849084541269,"TRECCOVID":0.51903,"ArguAna":0.53769,"SprintDuplicateQuestions":0.9568031991336099},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":287,"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":{"PunjabiNewsClassification":0.817197,"GujaratiNewsClassification":0.772989,"NepaliNewsClassification":0.928711,"IndicCrosslingualSTS":0.47975075,"SentimentAnalysisHindi":0.619777},"scoresByCustomGroup":{},"trainedOnTasks":["XNLI"],"experiments":null},{"rank":288,"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":{"SICK-R":0.7362503612794212,"SCIDOCS":0.15708,"STS13":0.8181723080195181,"TwitterURLCorpus":0.8513527261010518,"STS12":0.6910584816006706,"STS14":0.7706598351608042,"STSBenchmark":0.7764987371874676,"ToxicConversationsClassification":0.6755579999999999,"STS17":0.4614156560085977,"STS15":0.8600886559584635,"TRECCOVID":0.60087,"ArguAna":0.52806,"SprintDuplicateQuestions":0.9545377318094498,"Tatoeba":0.18539287358507656},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":289,"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":{"ScalaClassification":0.6284302500000001,"MassiveIntentClassification":0.4132974901960784,"TwitterHjerneRetrieval":0.20657,"BornholmBitextMining":0.043438,"NorwegianCourtsBitextMining":0.339383,"NordicLangClassification":0.8131,"SwednClusteringP2P":0.23437999999999998,"DalajClassification":0.524775},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":290,"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":{"ScalaClassification":0.6037355,"MassiveIntentClassification":0.3808116764705882,"TwitterHjerneRetrieval":0.19058,"BornholmBitextMining":0.044202,"NorwegianCourtsBitextMining":0.506421,"NordicLangClassification":0.793533,"SwednClusteringP2P":0.26850450000000003,"DalajClassification":0.511712},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":291,"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":{"SICK-R":0.7176588896280093,"SCIDOCS":0.10000999999999999,"STS13":0.7926435573752327,"TwitterURLCorpus":0.8094267715916922,"STS12":0.653943089429597,"STS14":0.7298102120833857,"STSBenchmark":0.7832422438643496,"ToxicConversationsClassification":0.718126,"STS15":0.8272040157931015,"TRECCOVID":0.60672,"ArguAna":0.47093,"SprintDuplicateQuestions":0.8757401607596607},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":292,"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":{"SICK-R":0.7215850185456761,"SCIDOCS":0.10388,"STS13":0.7971131323749228,"TwitterURLCorpus":0.7929963896460293,"STS12":0.6159518395985063,"STS14":0.7210974664733891,"STSBenchmark":0.7744151296326804,"ToxicConversationsClassification":0.718488,"STS15":0.8217899407125657,"TRECCOVID":0.63343,"ArguAna":0.51731,"SprintDuplicateQuestions":0.881421623503371},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":293,"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":294,"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":{"MIRACLRetrievalHardNegatives":0.614965,"AILAStatutes":0.26171},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":295,"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":{"SICK-R":0.7144730243032524,"SCIDOCS":0.14,"STS13":0.7909019447848391,"TwitterURLCorpus":0.8477048332956029,"STS12":0.6859358272758398,"STS14":0.7464141703710193,"STSBenchmark":0.7957572102026641,"ToxicConversationsClassification":0.12610869387810816,"STS15":0.8484757279716068,"TRECCOVID":0.56047,"ArguAna":0.50828,"SprintDuplicateQuestions":0.9454933848900441},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":296,"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":{"MIRACLRetrievalHardNegatives":0.6371855555555556,"AILAStatutes":0.85569},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":297,"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":{"GermanSTSBenchmark":0.48766750000000003,"MIRACLRetrievalHardNegatives":0.6869905555555555,"AILAStatutes":0.56662},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":298,"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":{"MIRACLRetrievalHardNegatives":0.6640922222222223,"AILAStatutes":0.90739},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":300,"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":{"ScalaClassification":0.5108885,"MassiveIntentClassification":0.6207519215686275,"TwitterHjerneRetrieval":0.85256,"BornholmBitextMining":0.421132,"NorwegianCourtsBitextMining":0.929825,"NordicLangClassification":0.486833,"SwednClusteringP2P":0.364459,"MIRACLRetrievalHardNegatives":0.5920333333333333,"AILAStatutes":0.47572,"DalajClassification":0.499437},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":302,"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":{"MIRACLRetrievalHardNegatives":0.7171255555555556,"AILAStatutes":0.5826},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":303,"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":{"SICK-R":0.6934396953516386,"SCIDOCS":0.05531,"STS13":0.7251503781013379,"TwitterURLCorpus":0.7772774861009667,"STS12":0.6009437406536074,"STS14":0.666954698644186,"STSBenchmark":0.7336074244064154,"ToxicConversationsClassification":0.68405,"STS15":0.7769462578028768,"TRECCOVID":0.56041,"ArguAna":0.43644,"SprintDuplicateQuestions":0.7736426466374055},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":304,"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":{"ScalaClassification":0.504834,"MassiveIntentClassification":0.5936590098039215,"TwitterHjerneRetrieval":0.84191,"BornholmBitextMining":0.34718,"NorwegianCourtsBitextMining":0.929094,"NordicLangClassification":0.445767,"SwednClusteringP2P":0.3570315,"MIRACLRetrievalHardNegatives":0.5050655555555555,"AILAStatutes":0.41247,"DalajClassification":0.501351},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":305,"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":{"LegalBenchCorporateLobbying":0.9495,"AILAStatutes":0.77579},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":306,"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":{"LegalBenchCorporateLobbying":0.96269,"AILAStatutes":0.58652},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":307,"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":{"ScalaClassification":0.52121575,"TwitterHjerneRetrieval":0.7816,"BornholmBitextMining":0.360316,"NorwegianCourtsBitextMining":0.932749,"NordicLangClassification":0.9111,"SwednClusteringP2P":0.4045835,"DalajClassification":0.503491},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":308,"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":{"ScalaClassification":0.50596925,"MassiveIntentClassification":0.5689144901960784,"TwitterHjerneRetrieval":0.82938,"BornholmBitextMining":0.382256,"NorwegianCourtsBitextMining":0.943713,"NordicLangClassification":0.7566,"SwednClusteringP2P":0.34792,"DalajClassification":0.50259},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":309,"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":{"ScalaClassification":0.5123045,"TwitterHjerneRetrieval":0.45981,"BornholmBitextMining":0.517433,"NorwegianCourtsBitextMining":0.923246,"NordicLangClassification":0.627567,"SwednClusteringP2P":0.306823,"DalajClassification":0.50045},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":310,"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":{"ScalaClassification":0.503821,"MassiveIntentClassification":0.5041233235294117,"TwitterHjerneRetrieval":0.6897,"BornholmBitextMining":0.382249,"NorwegianCourtsBitextMining":0.925439,"NordicLangClassification":0.655867,"SwednClusteringP2P":0.344246,"DalajClassification":0.50214},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":311,"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":{"ScalaClassification":0.5289185000000001,"TwitterHjerneRetrieval":0.47613,"BornholmBitextMining":0.189198,"NorwegianCourtsBitextMining":0.914766,"NordicLangClassification":0.8022,"SwednClusteringP2P":0.3762465,"DalajClassification":0.498874},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":313,"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":{"ScalaClassification":0.5022340000000001,"TwitterHjerneRetrieval":0.48623,"BornholmBitextMining":0.343898,"NorwegianCourtsBitextMining":0.888158,"NordicLangClassification":0.6096,"SwednClusteringP2P":0.35640499999999997,"DalajClassification":0.501689},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":314,"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":{"SCIDOCS":0.1909,"LEMBPasskeyRetrieval":0.3825,"StackOverflowQA":0.85742,"TRECCOVID":0.80555,"HagridRetrieval":0.98896,"ArguAna":0.5616,"LegalBenchCorporateLobbying":0.9296,"AILAStatutes":0.23612},"scoresByCustomGroup":{},"trainedOnTasks":["ArguAna"],"experiments":null},{"rank":315,"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":{"ScalaClassification":0.50594475,"TwitterHjerneRetrieval":0.39506,"BornholmBitextMining":0.270922,"NorwegianCourtsBitextMining":0.866813,"NordicLangClassification":0.7085,"SwednClusteringP2P":0.3659395,"DalajClassification":0.502027},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":316,"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":{"ScalaClassification":0.50426025,"MassiveIntentClassification":0.5497937843137255,"TwitterHjerneRetrieval":0.74323,"BornholmBitextMining":0.399191,"NorwegianCourtsBitextMining":0.911111,"NordicLangClassification":0.499433,"SwednClusteringP2P":0.317681,"DalajClassification":0.501239},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":318,"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,"AlloprofReranking":0.83892,"RuBQReranking":0.79839,"VoyageMMarcoReranking":0.7074,"T2Reranking":0.69388,"WebLINXCandidatesReranking":0.21075533333333332},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":320,"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,"AlloprofReranking":0.8234,"RuBQReranking":0.79011,"VoyageMMarcoReranking":0.73515,"T2Reranking":0.70284,"WebLINXCandidatesReranking":0.0879645},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":321,"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,"AlloprofReranking":0.79393,"RuBQReranking":0.75369,"VoyageMMarcoReranking":0.68593,"T2Reranking":0.68981,"WebLINXCandidatesReranking":0.11630883333333335},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":322,"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":{"ScalaClassification":0.63529075,"MassiveIntentClassification":0.2573341470588235,"TwitterHjerneRetrieval":0.42332,"BornholmBitextMining":0.159326,"NorwegianCourtsBitextMining":0.859649,"NordicLangClassification":0.759733,"SwednClusteringP2P":0.2273655,"DalajClassification":0.500788},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":323,"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":{"ScalaClassification":0.5176635,"MassiveIntentClassification":0.24555764705882355,"TwitterHjerneRetrieval":0.41538,"BornholmBitextMining":0.376251,"NorwegianCourtsBitextMining":0.866959,"NordicLangClassification":0.650167,"SwednClusteringP2P":0.0315785,"DalajClassification":0.498086},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":325,"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":{"ScalaClassification":0.5,"TwitterHjerneRetrieval":0.33454,"BornholmBitextMining":0.116075,"NorwegianCourtsBitextMining":0.64442,"NordicLangClassification":0.718667,"SwednClusteringP2P":0.0568255,"DalajClassification":0.501126},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":326,"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":{"ScalaClassification":0.4999145,"MassiveIntentClassification":0.18468621568627452,"TwitterHjerneRetrieval":0.25562,"BornholmBitextMining":0.091714,"NorwegianCourtsBitextMining":0.712427,"NordicLangClassification":0.6155,"SwednClusteringP2P":0.0514935,"DalajClassification":0.502365},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":327,"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":{"ScalaClassification":0.5005735,"MassiveIntentClassification":0.17278027450980393,"TwitterHjerneRetrieval":0.21053,"BornholmBitextMining":0.081931,"NorwegianCourtsBitextMining":0.729386,"NordicLangClassification":0.633233,"SwednClusteringP2P":0.0485375,"DalajClassification":0.501239},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":328,"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":{"SCIDOCS":0.20256,"StackOverflowQA":0.92253,"TRECCOVID":0.82123,"ArguAna":0.59811,"MIRACLRetrievalHardNegatives":0.6704172222222222},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SCIDOCS","StackOverflowQA"],"experiments":null},{"rank":329,"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":{"CovidRetrieval":0.8244399999999998,"T2Reranking":0.6637886004738723},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":330,"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":{"MIRACLRetrievalHardNegatives":0.11184222222222223,"CovidRetrieval":0.74697,"AILAStatutes":0.16189},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":331,"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":{"MIRACLRetrievalHardNegatives":0.08280555555555555,"CovidRetrieval":0.73352,"AILAStatutes":0.15417},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":331,"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":{"BiorxivClusteringP2P.v2":0.3287646605852736,"MedrxivClusteringP2P.v2":0.34174611832860946,"ArguAna":0.35442,"ArXivHierarchicalClusteringP2P":0.5681659433257183,"ArXivHierarchicalClusteringS2S":0.49948049993663013},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":333,"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":{"CovidRetrieval":0.80613,"T2Reranking":0.6648634798223673},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":334,"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":335,"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":{"MIRACLRetrievalHardNegatives":0.4913188888888889,"AILAStatutes":0.26156},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":336,"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":{"SCIDOCS":0.21514,"StackOverflowQA":0.93444,"TRECCOVID":0.81627,"ArguAna":0.55306,"MIRACLRetrievalHardNegatives":0.5801661111111112},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives","SCIDOCS","StackOverflowQA"],"experiments":null},{"rank":337,"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":{"CovidRetrieval":0.75626,"T2Reranking":0.6610932017114579},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":338,"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":{"ScalaClassification":0.50224625,"MassiveIntentClassification":0.4824767647058823,"BornholmBitextMining":0.23496,"NorwegianCourtsBitextMining":0.923246,"NordicLangClassification":0.444,"DalajClassification":0.499887},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":339,"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":340,"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":{"CovidRetrieval":0.7574,"T2Reranking":0.6636295416100998},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":341,"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":{"CovidRetrieval":0.84503,"T2Reranking":0.6645779474032288},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":342,"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":{"CovidRetrieval":0.88405,"T2Reranking":0.658563449629786},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":343,"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":{"MIRACLRetrievalHardNegatives":0.06994555555555555,"CovidRetrieval":0.70137,"AILAStatutes":0.14894},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":344,"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":{"MIRACLRetrievalHardNegatives":0.03608388888888889,"CovidRetrieval":0.44806,"AILAStatutes":0.09699},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":345,"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,"RuBQReranking":0.770172,"TERRa":0.664507},"scoresByCustomGroup":{},"trainedOnTasks":["CEDRClassification","MassiveIntentClassification"],"experiments":null},{"rank":346,"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":{"CovidRetrieval":0.8914300000000001,"T2Reranking":0.6929054152015013},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":347,"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":348,"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":349,"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,"RuBQReranking":0.751605,"TERRa":0.657363},"scoresByCustomGroup":{},"trainedOnTasks":["CEDRClassification","MassiveIntentClassification"],"experiments":null},{"rank":350,"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":{"CovidRetrieval":0.8939900000000001,"T2Reranking":0.6903398835347575},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":351,"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":{"CovidRetrieval":0.9235099999999999,"T2Reranking":0.6835595092507496},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":352,"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":353,"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,"STS12":0.731998,"STS14":0.785658,"STSBenchmark":0.837359,"STS17":0.39667618181818187,"STS15":0.850932},"scoresByCustomGroup":{},"trainedOnTasks":["STSBenchmark"],"experiments":null},{"rank":354,"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":{"CovidRetrieval":0.39635,"T2Reranking":0.6514113035189213},"scoresByCustomGroup":{},"trainedOnTasks":["PawsXPairClassification"],"experiments":null},{"rank":355,"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":{"CovidRetrieval":0.61652,"T2Reranking":0.6538779931543048},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":356,"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":357,"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":{"SCIDOCS":0.2238,"TRECCOVID":0.8131999999999999,"ArguAna":0.6465000000000001,"CovidRetrieval":0.9201},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":358,"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":{"CovidRetrieval":0.86777,"T2Reranking":0.6714759526113295},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":359,"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":{"CovidRetrieval":0.81867,"T2Reranking":0.6643391960680063},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":360,"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":{"CovidRetrieval":0.85946,"T2Reranking":0.6705266891356277},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":361,"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":{"CovidRetrieval":0.87686,"T2Reranking":0.6659971552953814},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":361,"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,"RuBQReranking":0.711186,"TERRa":0.603584},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":363,"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":364,"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":365,"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":366,"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":367,"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":368,"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":369,"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":{"TwitterURLCorpus":0.834893468701264,"ToxicConversationsClassification":0.6356720000000001,"ArguAna":0.47288,"SprintDuplicateQuestions":0.932290998979669},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":370,"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":371,"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":372,"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":373,"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":374,"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":375,"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,"RuBQReranking":0.697326,"TERRa":0.563827},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":376,"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":376,"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":380,"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":381,"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,"RuBQReranking":0.660337,"TERRa":0.540227},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":382,"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":383,"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":385,"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":388,"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":{"BornholmBitextMining":0.04530713061982502,"NordicLangClassification":0.8527333333333333,"DalajClassification":0.509009009009009},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":389,"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":{"SCIDOCS":0.19219,"LEMBPasskeyRetrieval":0.965,"TRECCOVID":0.84835,"ArguAna":0.4752},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":390,"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":{"SCIDOCS":0.19772,"TRECCOVID":0.81966,"ArguAna":0.59384,"AILAStatutes":0.25553},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":391,"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":392,"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":{"BornholmBitextMining":0.09876539201539201,"NordicLangClassification":0.8468666666666668,"DalajClassification":0.5032657657657659},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":393,"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,"RuBQReranking":0.54341,"TERRa":0.525012},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":394,"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":0.12152557090026155},"scoresByTask":{"News21InstructionRetrieval":0.06261598925651,"Core17InstructionRetrieval":0.16478518586845212,"Robust04InstructionRetrieval":0.13717553757582254},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":395,"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":{"CovidRetrieval":0.93456,"STSB":0.8997824999999999,"T2Reranking":0.68266},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":397,"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":{"CovidRetrieval":0.95218,"STSB":0.8356574999999999,"T2Reranking":0.71139},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":398,"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":399,"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":400,"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":{"CovidRetrieval":0.91935,"T2Reranking":0.731538},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":401,"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":404,"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":{"CovidRetrieval":0.92318,"T2Reranking":0.684737},"scoresByCustomGroup":{},"trainedOnTasks":["T2Reranking"],"experiments":null},{"rank":405,"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":{"News21InstructionRetrieval":0.08948218543599191,"Core17InstructionRetrieval":0.013160295783399964,"Robust04InstructionRetrieval":0.038963182554656986},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":406,"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":{"News21InstructionRetrieval":0.01777758269920985,"Core17InstructionRetrieval":0.0183810995196413,"Robust04InstructionRetrieval":0.03963470657665921},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":407,"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":{"CovidRetrieval":0.84162,"T2Reranking":0.68145},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":409,"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":410,"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":{"BornholmBitextMining":0.1408286249981902,"NordicLangClassification":0.5144666666666666,"DalajClassification":0.5011261261261262},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":413,"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":{"SCIDOCS":0.22349,"TRECCOVID":0.82328,"ArguAna":0.54653},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":414,"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":416,"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":{"SCIDOCS":0.1926,"TRECCOVID":0.84399,"ArguAna":0.58994},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":417,"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":418,"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":0.006386269889570899},"scoresByTask":{"News21InstructionRetrieval":-0.0012147147179908911,"Core17InstructionRetrieval":-0.03311694689144136,"Robust04InstructionRetrieval":0.05349047127814495},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":420,"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":{"SCIDOCS":0.21897,"TRECCOVID":0.83596,"ArguAna":0.50515},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":421,"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":-0.017431210148960027},"scoresByTask":{"News21InstructionRetrieval":0.05024292873676007,"Core17InstructionRetrieval":-0.0405664546653432,"Robust04InstructionRetrieval":-0.06197010451829695},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":422,"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":{"SCIDOCS":0.23048,"TRECCOVID":0.68116,"ArguAna":0.54937},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":423,"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":425,"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":{"SCIDOCS":0.19836,"TRECCOVID":0.78271,"ArguAna":0.52815},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":426,"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":{"SCIDOCS":0.22235,"TRECCOVID":0.66974,"ArguAna":0.51236},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":427,"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":{"LegalBenchCorporateLobbying":0.95849,"AILAStatutes":0.955},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":428,"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":{"LegalBenchCorporateLobbying":0.95638,"AILAStatutes":0.89527},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":429,"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":{"LegalBenchCorporateLobbying":0.96474,"AILAStatutes":0.6272},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":430,"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":{"LegalBenchCorporateLobbying":0.9539,"AILAStatutes":0.78558},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":431,"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":{"MIRACLRetrievalHardNegatives":0.6758266666666667,"AILAStatutes":0.56128},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":432,"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":{"SCIDOCS":0.21131,"TRECCOVID":0.69807,"ArguAna":0.4312},"scoresByCustomGroup":{},"trainedOnTasks":["SCIDOCS"],"experiments":null},{"rank":433,"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":{"LegalBenchCorporateLobbying":0.95053,"AILAStatutes":0.58786},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":434,"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":{"MIRACLRetrievalHardNegatives":0.6258016666666667,"AILAStatutes":0.9451},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":435,"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":{"MIRACLRetrievalHardNegatives":0.6269083333333333,"AILAStatutes":0.86682},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":436,"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":{"SCIDOCS":0.16732,"TRECCOVID":0.73335,"ArguAna":0.52084},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":437,"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":{"SCIDOCS":0.19904,"TRECCOVID":0.75582,"ArguAna":0.41839},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":438,"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":{"MIRACLRetrievalHardNegatives":0.6236838888888889,"AILAStatutes":0.69377},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":439,"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":{"SCIDOCS":0.1627,"TRECCOVID":0.72258,"ArguAna":0.51909},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":440,"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":{"MIRACLRetrievalHardNegatives":0.6314922222222222,"AILAStatutes":0.50293},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":441,"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":{"SCIDOCS":0.215,"TRECCOVID":0.489,"ArguAna":0.49579999999999996},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":442,"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":{"STSBenchmark":0.734754,"STS17":0.2492858181818182,"SprintDuplicateQuestions":0.7813},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":443,"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":{"MIRACLRetrievalHardNegatives":0.6212811111111112,"AILAStatutes":0.50022},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":444,"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":{"MIRACLRetrievalHardNegatives":0.6055716666666666,"AILAStatutes":0.49913},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":445,"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":{"MIRACLRetrievalHardNegatives":0.5624522222222222,"AILAStatutes":0.69906},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":446,"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":{"SCIDOCS":0.16589,"TRECCOVID":0.68916,"ArguAna":0.49521},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":447,"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":{"SCIDOCS":0.16145,"TRECCOVID":0.70771,"ArguAna":0.47963},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":447,"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":{"MedrxivClusteringP2P.v2":0.43294,"TRECCOVID":0.81099},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":449,"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":{"MIRACLRetrievalHardNegatives":0.639835,"AILAStatutes":0.3485},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":450,"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":{"MIRACLRetrievalHardNegatives":0.6404688888888889,"AILAStatutes":0.34424},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":451,"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":{"MIRACLRetrievalHardNegatives":0.5711588888888889,"AILAStatutes":0.48485},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":452,"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":{"MIRACLRetrievalHardNegatives":0.5964994444444445,"AILAStatutes":0.36729},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":453,"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":{"MedrxivClusteringP2P.v2":0.353868,"TRECCOVID":0.36574,"STSB":0.0369075},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":454,"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":{"MedrxivClusteringP2P.v2":0.35071,"TRECCOVID":0.37322,"STSB":0.016198999999999998},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":455,"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":{"MedrxivClusteringP2P.v2":0.346056,"TRECCOVID":0.39843,"STSB":0.036564},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":457,"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":{"MedrxivClusteringP2P.v2":0.342516,"TRECCOVID":0.3537,"STSB":0.016634999999999997},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":458,"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":{"MIRACLRetrievalHardNegatives":0.34251111111111116,"AILAStatutes":0.21002},"scoresByCustomGroup":{},"trainedOnTasks":["MIRACLRetrievalHardNegatives"],"experiments":null},{"rank":460,"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":{"MIRACLRetrievalHardNegatives":0.1306188888888889,"AILAStatutes":0.15261},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":462,"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":464,"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":465,"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":466,"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":469,"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":469,"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":471,"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":472,"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":473,"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":{"MedrxivClusteringP2P.v2":0.329027,"TRECCOVID":0.1735},"scoresByCustomGroup":{},"trainedOnTasks":[],"experiments":null},{"rank":475,"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":476,"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":477,"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":481,"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":482,"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":483,"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":484,"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":485,"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":486,"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":487,"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":489,"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":490,"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":491,"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":492,"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":493,"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":494,"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":495,"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":496,"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":497,"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}