Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456 CohereLabs (Cohere Labs)
here.\nYou can review information about our AI governance practices here.\n","classNames":"hf-sanitized hf-sanitized-iKNyTTuxXS43fJqUxLoRN"},"users":[{"_id":"6441042d5d600fb0951a5f99","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6441042d5d600fb0951a5f99/4CbOaYcEz99BtVAQvnGTn.jpeg","isPro":false,"fullname":"Marzieh Fadaee","user":"MarziehFadaee","type":"user"},{"_id":"63adeb79a31e9ea8298ad4ac","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63adeb79a31e9ea8298ad4ac/a_kEJXPLkfaHDUN3XcTYA.jpeg","isPro":false,"fullname":"Saurabh Dash","user":"saurabhdash","type":"user"},{"_id":"6351689040dffad651f0d26b","avatarUrl":"/avatars/65808f9bf9243c7e8bf7130cdf86166b.svg","isPro":false,"fullname":"Madeline Smith","user":"madelzzz","type":"user"},{"_id":"6634e8c750ea73bfbc59223e","avatarUrl":"/avatars/9f0a7bcdfd82d5344932437d458fce9f.svg","isPro":false,"fullname":"Beyza Ermis","user":"beyzaermis","type":"user"},{"_id":"62668f725fb8d521d94d8451","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62668f725fb8d521d94d8451/zm5vQWpgHlZUtaK0NdG8o.jpeg","isPro":false,"fullname":"Alejandro Rodriguez","user":"alexrs","type":"user"},{"_id":"6792570c19d2f17003c0b41d","avatarUrl":"/avatars/25ca88ccb70bdabc0af470bc023601c7.svg","isPro":false,"fullname":"Brittawnya","user":"Brittawnya","type":"user"},{"_id":"67d1afdb9b18fe34baff18ba","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/YNmBm4Ib1mmH4hPKW3VTw.png","isPro":false,"fullname":"Cohere IT Team","user":"cohereit","type":"user"},{"_id":"6544e43b12da508864c38f96","avatarUrl":"/avatars/76f0cd55b4bf9c03d2686e146c6f795f.svg","isPro":false,"fullname":"Julia Kreutzer","user":"JuliaKreutzerCohere","type":"user"},{"_id":"6658011eaba105a066e37e1b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6658011eaba105a066e37e1b/VPwyTv1bnVMQbVMoMQzcf.jpeg","isPro":true,"fullname":"Daniel D'souza","user":"dsouzadaniel","type":"user"},{"_id":"6867ac274d8d690302fd0378","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6867ac274d8d690302fd0378/Q21ejhVZc0qsKIJhoHnoL.jpeg","isPro":false,"fullname":"Julian Mack","user":"julianmack","type":"user"},{"_id":"660eb9ff338e9556c90a6bbc","avatarUrl":"/avatars/c4103b2902f798b1566211fab91db8b2.svg","isPro":false,"fullname":"Matt Maloney","user":"MattM88","type":"user"},{"_id":"686edb0aac939e2ce4705428","avatarUrl":"/avatars/6a7a1abdfa25e774c613544969069d9b.svg","isPro":false,"fullname":"Zain Jaffal","user":"zjaffal-co","type":"user"}],"userCount":12,"collections":[{"slug":"CohereLabs/tiny-aya-698eeb98dbf892964d3b0cba","title":"Tiny Aya","description":"Bridging Scale and Multilingual Depth","gating":false,"lastUpdated":"2026-02-17T07:04:31.659Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"6993490e2e87fc8e25c6b6f8","position":0,"type":"space","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"blue","colorTo":"blue","createdAt":"2026-02-13T09:34:39.000Z","emoji":"🚀","id":"CohereLabs/tiny-aya","lastModified":"2026-02-19T02:46:22.000Z","likes":27,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"coherelabs-tiny-aya.hf.space","stage":"READY"}],"sha":"5f9ebcbc38033246265098464afe5b6a0867c273"},"title":"Tiny Aya","isLikedByUser":false,"ai_short_description":"Chat in any language with the Tiny Aya multilingual model","ai_category":"Text Generation","trendingScore":27,"tags":["gradio","region:us"],"featured":false},{"_id":"698f271f4939ae3793aba8c6","position":1,"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":200,"gated":"auto","id":"CohereLabs/tiny-aya-base","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:07.000Z","likes":28,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"_id":"698f271a5694232aa7f8e88a","position":2,"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":621,"gated":"auto","id":"CohereLabs/tiny-aya-global","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:14.000Z","likes":40,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"_id":"698f2724cd9e0847b4458282","position":3,"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":172,"gated":"auto","id":"CohereLabs/tiny-aya-earth","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:19.000Z","likes":12,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520}],"position":0,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/tiny-aya","upvotes":46,"isUpvotedByUser":false},{"slug":"CohereLabs/command-models-67652b401665205e17b192ad","title":"Command Models","description":"Latest Cohere Labs Command models ","gating":false,"lastUpdated":"2025-11-06T07:52:05.572Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"678b0e5f828f6f99dbb98d0b","position":0,"type":"space","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"purple","colorTo":"red","createdAt":"2024-04-03T09:57:59.000Z","emoji":"🌟","id":"CohereLabs/c4ai-command","lastModified":"2024-12-20T10:42:23.000Z","likes":1482,"pinned":false,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"cohereforai-c4ai-command.hf.space","stage":"READY"},{"domain":"coherelabs-c4ai-command.hf.space","stage":"READY"}],"sha":"42999516f06d1e80980097e6f34619900968a947"},"title":"C4AI Command Models","isLikedByUser":false,"ai_short_description":"Ask anything and get AI-generated answers","ai_category":"Text Generation","trendingScore":4,"tags":["docker","region:us"],"featured":false},{"_id":"689dd6e672ba548676d7a0d2","position":1,"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":710,"gated":"auto","id":"CohereLabs/command-a-reasoning-08-2025","availableInferenceProviders":[{"provider":"cohere","modelStatus":"live","providerStatus":"live","providerId":"command-a-reasoning-08-2025","task":"conversational","adapterWeightsPath":"model-00001-of-00049.safetensors","features":{"structuredOutput":false,"toolCalling":true},"isCheapestPricingOutput":false,"isFastestThroughput":true,"isModelAuthor":true,"tokensPerSecond":82.48495681346392}],"lastModified":"2026-01-13T19:38:05.000Z","likes":130,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":111057580032},{"_id":"689dd6fb5985aafa4ed8de67","position":2,"type":"space","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"red","colorTo":"purple","createdAt":"2025-08-11T10:26:18.000Z","emoji":"⚡","id":"CohereLabs/command-a-reasoning","lastModified":"2025-08-20T20:01:47.000Z","likes":24,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"coherelabs-command-a-reasoning.hf.space","stage":"READY"}],"sha":"9e6e7118a435a2d0f7b5d933276e763bcbb7b680"},"title":"Command A Reasoning","isLikedByUser":false,"ai_short_description":"Generate answers to reasoning questions","ai_category":"Question Answering","trendingScore":1,"tags":["gradio","region:us"],"featured":false},{"_id":"688b62bb4e5f658d1033643b","position":3,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62668f725fb8d521d94d8451/FxCoHqMYuOyPAi39X8VuW.png"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":31271,"gated":"auto","id":"CohereLabs/command-a-vision-07-2025","availableInferenceProviders":[{"provider":"cohere","modelStatus":"live","providerStatus":"live","providerId":"command-a-vision-07-2025","task":"conversational","adapterWeightsPath":"model-00001-of-00050.safetensors","features":{"structuredOutput":false,"toolCalling":false},"isCheapestPricingOutput":false,"isFastestThroughput":true,"isModelAuthor":true,"tokensPerSecond":44.000407613898986}],"lastModified":"2025-10-30T06:38:41.000Z","likes":85,"pipeline_tag":"image-text-to-text","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":111867525360}],"position":1,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/command-models","upvotes":31,"isUpvotedByUser":false},{"slug":"CohereLabs/cohere-labs-aya-vision-67c4ccd395ca064308ee1484","title":"Cohere Labs Aya Vision","description":"Aya Vision is a state-of-the-art family of vision models that brings multimodal capabilities to 23 languages.","gating":false,"lastUpdated":"2025-07-31T13:49:08.893Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"67c4cd042e237826ac7ec348","position":0,"type":"space","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"blue","colorTo":"green","createdAt":"2024-10-23T10:17:23.000Z","emoji":"🌍","id":"CohereLabs/aya_expanse","lastModified":"2026-01-12T23:53:48.000Z","likes":335,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"t4-small","requested":"t4-small"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"cohereforai-aya-expanse.hf.space","stage":"READY"},{"domain":"coherelabs-aya-expanse.hf.space","stage":"READY"}],"sha":"16a7386672a498dd0df9fc616603106b5dbd0f1a"},"shortDescription":"Interact with the Aya family of models.","title":"Aya Models","isLikedByUser":false,"ai_short_description":"Chat, see, and speak with Aya in 23 languages","ai_category":"Chatbots","trendingScore":1,"tags":["gradio","region:us"],"featured":true},{"_id":"67c4cce2e716b28f92b1470f","position":1,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/zeL_TOrFvI3pHuVHNdgqK.png"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":44686,"gated":"auto","id":"CohereLabs/aya-vision-8b","availableInferenceProviders":[],"lastModified":"2026-01-09T23:10:02.000Z","likes":317,"pipeline_tag":"image-text-to-text","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":8631842032},{"_id":"67c4d0358a818b605b23cbe5","position":2,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/MwAaYXjx0gQ5zK0fmy-hV.png"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":223,"gated":"auto","id":"CohereLabs/aya-vision-32b","availableInferenceProviders":[{"provider":"cohere","modelStatus":"live","providerStatus":"live","providerId":"c4ai-aya-vision-32b","task":"conversational","adapterWeightsPath":"model-00001-of-00015.safetensors","features":{"structuredOutput":false,"toolCalling":false},"isCheapestPricingOutput":false,"isFastestThroughput":true,"isModelAuthor":true,"tokensPerSecond":34.004450256270175}],"lastModified":"2026-01-09T23:09:29.000Z","likes":222,"pipeline_tag":"image-text-to-text","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"_id":"67c4d59623973dbda7c52ec5","position":3,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/lyisDcLzNJMMw4FvwQM2h.png"],"type":"dataset","note":{"html":"The Aya Vision Benchmark is designed to evaluate vision-language models in real-world multilingual scenarios. It spans 23 languages and 9 distinct task categories, with 15 samples per category, resulting in 135 image-question pairs per language. ","text":"The Aya Vision Benchmark is designed to evaluate vision-language models in real-world multilingual scenarios. It spans 23 languages and 9 distinct task categories, with 15 samples per category, resulting in 135 image-question pairs per language. "},"author":"CohereLabs","downloads":600,"gated":false,"id":"CohereLabs/AyaVisionBench","lastModified":"2025-05-14T15:31:56.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":3105,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["image","text"]},"private":false,"repoType":"dataset","likes":32,"isLikedByUser":false,"isBenchmark":false}],"position":2,"theme":"purple","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/cohere-labs-aya-vision","upvotes":70,"isUpvotedByUser":false},{"slug":"CohereLabs/cohere-labs-aya-expanse-671a83d6b2c07c692beab3c3","title":"Cohere Labs Aya Expanse","description":"Aya Expanse is an open-weight research release of a model with highly advanced multilingual capabilities.","gating":false,"lastUpdated":"2025-07-31T13:49:08.892Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"671a8404683a2c6829c8c121","position":0,"type":"space","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"blue","colorTo":"green","createdAt":"2024-10-23T10:17:23.000Z","emoji":"🌍","id":"CohereLabs/aya_expanse","lastModified":"2026-01-12T23:53:48.000Z","likes":335,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"t4-small","requested":"t4-small"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"cohereforai-aya-expanse.hf.space","stage":"READY"},{"domain":"coherelabs-aya-expanse.hf.space","stage":"READY"}],"sha":"16a7386672a498dd0df9fc616603106b5dbd0f1a"},"shortDescription":"Interact with the Aya family of models.","title":"Aya Models","isLikedByUser":false,"ai_short_description":"Chat, see, and speak with Aya in 23 languages","ai_category":"Chatbots","trendingScore":1,"tags":["gradio","region:us"],"featured":true},{"_id":"67c4aca5c1336bbce23eacf0","position":1,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/harnyZQblSIsxAMxdGmnR.jpeg"],"type":"paper","id":"2412.04261","title":"Aya Expanse: Combining Research Breakthroughs for a New Multilingual\n Frontier","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2412.04261.png","upvotes":6,"publishedAt":"2024-12-05T15:41:06.000Z","isUpvotedByUser":false},{"_id":"671a83f62cdb702fb1f2f3a6","position":2,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/btLUBJjJjGpMmLwYbQuF3.webp"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":5681,"gated":"auto","id":"CohereLabs/aya-expanse-32b","availableInferenceProviders":[{"provider":"cohere","modelStatus":"live","providerStatus":"live","providerId":"c4ai-aya-expanse-32b","task":"conversational","adapterWeightsPath":"model-00001-of-00014.safetensors","features":{"structuredOutput":false,"toolCalling":false},"isCheapestPricingOutput":false,"isFastestThroughput":true,"isModelAuthor":true,"tokensPerSecond":42.29233367513073}],"lastModified":"2026-01-09T23:08:52.000Z","likes":288,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":32296476672},{"_id":"671a83efa9d783375d09a474","position":3,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/TvfqdpeaHBPqEqPBpYlKj.webp"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":61399,"gated":"auto","id":"CohereLabs/aya-expanse-8b","availableInferenceProviders":[],"lastModified":"2026-01-09T23:07:58.000Z","likes":421,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":8028033024}],"position":3,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/cohere-labs-aya-expanse","upvotes":42,"isUpvotedByUser":false},{"slug":"CohereLabs/multilingual-llm-evaluation-674ebf8e49e5af2efe021c8d","title":"Multilingual LLM Evaluation","description":"Multilingual Evaluation Benchmarks","gating":false,"lastUpdated":"2025-07-31T13:49:08.897Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"6752a353adff082eb0decd7a","position":0,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/epChV2wAjdCmF0O1h_PjZ.jpeg"],"type":"dataset","note":{"html":"Global-MMLU 🌍 is a multilingual evaluation set collection of exams in 42 languages, including English. This dataset greatly improves multilingual coverage and quality of the english MMLU using professional translations and crowd-sourced post-edits. It also includes cultural sensitivity annotations and classifies them as Culturally Sensitive (CS) 🗽 or Culturally Agnostic (CA) ⚖️. ","text":"Global-MMLU 🌍 is a multilingual evaluation set collection of exams in 42 languages, including English. This dataset greatly improves multilingual coverage and quality of the english MMLU using professional translations and crowd-sourced post-edits. It also includes cultural sensitivity annotations and classifies them as Culturally Sensitive (CS) 🗽 or Culturally Agnostic (CA) ⚖️. "},"author":"CohereLabs","downloads":14456,"gated":false,"id":"CohereLabs/Global-MMLU","lastModified":"2025-08-14T20:12:53.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":601734,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":148,"isLikedByUser":false,"isBenchmark":false},{"_id":"675c3fc0604c5d499f5ad710","position":1,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/a8qTKy57rz9VoMoSsMTE4.jpeg"],"type":"dataset","note":{"html":"Global-MMLU-Lite is a multilingual evaluation set spanning 15 languages, including English. It is \"lite\" version of the original Global-MMLU dataset 🌍. The samples in Global-MMLU-Lite are corresponding to languages which are fully human translated or post-edited in the original Global-MMLU dataset.","text":"Global-MMLU-Lite is a multilingual evaluation set spanning 15 languages, including English. It is \"lite\" version of the original Global-MMLU dataset 🌍. The samples in Global-MMLU-Lite are corresponding to languages which are fully human translated or post-edited in the original Global-MMLU dataset."},"author":"CohereLabs","downloads":5032,"gated":false,"id":"CohereLabs/Global-MMLU-Lite","lastModified":"2025-12-03T16:05:07.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":10855,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":30,"isLikedByUser":false,"isBenchmark":false},{"_id":"67c4aa044a60a07139d74e76","position":2,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/WfMdfNbsq6E38QHNkfrIm.jpeg"],"type":"dataset","note":{"html":"The m-ArenaHard dataset is an extremely challenging multilingual LLM evaluation set for measuring quaity of open-ended generations. This dataset was created by translating the prompts from the originally English-only LMarena (formerly LMSYS) arena-hard-auto-v0.1 test dataset using Google Translate API v3 to 22 languages. For each language, there are 500 challenging user queries sourced from Chatbot Arena. ","text":"The m-ArenaHard dataset is an extremely challenging multilingual LLM evaluation set for measuring quaity of open-ended generations. This dataset was created by translating the prompts from the originally English-only LMarena (formerly LMSYS) arena-hard-auto-v0.1 test dataset using Google Translate API v3 to 22 languages. For each language, there are 500 challenging user queries sourced from Chatbot Arena. "},"author":"CohereLabs","downloads":409,"gated":false,"id":"CohereLabs/m-ArenaHard","lastModified":"2025-04-15T08:44:05.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":11000,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":24,"isLikedByUser":false,"isBenchmark":false},{"_id":"674ebfa32888540891330999","position":4,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/jqYX-XhB1oJ50CFNPn6-J.jpeg"],"type":"dataset","note":{"html":"INCLUDE is a comprehensive collection of in-language exams across 44 languages that evaluates multilingual LLMs for performance in the actual language environments where they would be deployed. It contains 22,637 4-option multiple-choice-questions (MCQ) extracted from academic and professional exams, covering 57 topics, including regional knowledge.","text":"INCLUDE is a comprehensive collection of in-language exams across 44 languages that evaluates multilingual LLMs for performance in the actual language environments where they would be deployed. It contains 22,637 4-option multiple-choice-questions (MCQ) extracted from academic and professional exams, covering 57 topics, including regional knowledge."},"author":"CohereLabs","downloads":4102,"gated":false,"id":"CohereLabs/include-base-44","lastModified":"2025-04-15T08:44:46.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":22953,"libraries":[],"formats":[],"modalities":["text"]},"private":false,"repoType":"dataset","likes":44,"isLikedByUser":false,"isBenchmark":false}],"position":4,"theme":"pink","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/multilingual-llm-evaluation","upvotes":29,"isUpvotedByUser":false},{"slug":"CohereLabs/aya-datasets-660415741bd4852f01c81c77","title":"Aya Datasets","description":"The Aya Collection is a massive multilingual collection for over 100 languages consisting of 513 million instances of prompts and completions.","gating":false,"lastUpdated":"2025-07-31T13:49:08.900Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"66041594ee2ac0d05a0a3de0","position":0,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/irxfcs1-89ynL0lQ-7e5w.jpeg"],"type":"dataset","note":{"html":"The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks. This collection incorporates instruction-style templates from fluent speakers and applies them to a curated list of datasets, as well as translations of instruction-style datasets into 101 languages. ","text":"The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks. This collection incorporates instruction-style templates from fluent speakers and applies them to a curated list of datasets, as well as translations of instruction-style datasets into 101 languages. "},"author":"CohereLabs","downloads":2941,"gated":false,"id":"CohereLabs/aya_collection","lastModified":"2025-04-15T08:52:39.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":513755590,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":230,"isLikedByUser":false,"isBenchmark":false},{"_id":"660415816d19853dda1c1758","position":1,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/coBhLbSxHPUkaNQYB1NHu.jpeg"],"type":"dataset","note":{"html":"The Aya Dataset is a multilingual instruction fine-tuning dataset curated by an open-science community via Aya Annotation Platform from Cohere For AI. The dataset contains a total of 204k human-annotated prompt-completion pairs along with the demographics data of the annotators.","text":"The Aya Dataset is a multilingual instruction fine-tuning dataset curated by an open-science community via Aya Annotation Platform from Cohere For AI. The dataset contains a total of 204k human-annotated prompt-completion pairs along with the demographics data of the annotators."},"author":"CohereLabs","downloads":3414,"gated":false,"id":"CohereLabs/aya_dataset","lastModified":"2025-04-15T08:51:55.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":205568,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":336,"isLikedByUser":false,"isBenchmark":false},{"_id":"6604158d8d50be909bea3fcd","position":2,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/2NAfk_fRytuEmE8TUWssF.jpeg"],"type":"dataset","note":{"html":"Aya Evaluation Suite contains open-ended conversation-style prompts to evaluate multilingual open-ended generation quality. To strike a balance between language coverage and the quality that comes with human curation, we create an evaluation suite that covers 101 languages for evaluating conversational abilities of language models","text":"Aya Evaluation Suite contains open-ended conversation-style prompts to evaluate multilingual open-ended generation quality. To strike a balance between language coverage and the quality that comes with human curation, we create an evaluation suite that covers 101 languages for evaluating conversational abilities of language models"},"author":"CohereLabs","downloads":366,"gated":false,"id":"CohereLabs/aya_evaluation_suite","lastModified":"2025-04-15T08:46:23.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":26750,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":53,"isLikedByUser":false,"isBenchmark":false},{"_id":"660415982a78438d283fade7","position":3,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/-xssQ2IzlAeZwD8Zq7bwy.jpeg"],"type":"dataset","note":{"html":"This is same as original aya_collection, only varies in structure of upload. While the original aya_collection is structured by folders split according to dataset name, this dataset is split by language. We recommend you use this version of the dataset if you are only interested in downloading all of the Aya collection for a single or smaller set of languages.\n\n","text":"This is same as original aya_collection, only varies in structure of upload. While the original aya_collection is structured by folders split according to dataset name, this dataset is split by language. We recommend you use this version of the dataset if you are only interested in downloading all of the Aya collection for a single or smaller set of languages.\n\n"},"author":"CohereLabs","downloads":2488,"gated":false,"id":"CohereLabs/aya_collection_language_split","lastModified":"2025-04-15T08:56:50.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":513757344,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":114,"isLikedByUser":false,"isBenchmark":false}],"position":5,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/aya-datasets","upvotes":25,"isUpvotedByUser":false},{"slug":"CohereLabs/cohere-labs-aya-23-664f4cda3fa1a30553b221dc","title":"Cohere Labs Aya 23","description":"Aya 23 is an open weights research release of an instruction fine-tuned model with highly advanced multilingual capabilities. ","gating":false,"lastUpdated":"2025-07-31T13:49:08.897Z","owner":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"items":[{"_id":"67c4ade96cc7765555b0fb67","position":0,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/63434eb76f59b79da07dbddf/Mg28imfbNZPcj7RUERs90.jpeg"],"type":"paper","id":"2405.15032","title":"Aya 23: Open Weight Releases to Further Multilingual Progress","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2405.15032.png","upvotes":32,"publishedAt":"2024-05-23T20:10:38.000Z","isUpvotedByUser":false},{"_id":"664f4ced8286a862127f9663","position":1,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/4IgHj9v6axojBT3DLZ8uj.jpeg"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":15220,"gated":"auto","id":"CohereLabs/aya-23-8B","availableInferenceProviders":[],"lastModified":"2025-09-11T09:02:12.000Z","likes":428,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":8028033024},{"_id":"664f4cfb22aff05d2104d787","position":2,"gallery":["https://cdn-uploads.huggingface.co/production/uploads/62c2175d756039dd0dd20509/NO1IOrWdwR1z_D0lzdvGy.jpeg"],"type":"model","author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":3281,"gated":"auto","id":"CohereLabs/aya-23-35B","availableInferenceProviders":[],"lastModified":"2025-09-11T09:02:19.000Z","likes":291,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]}],"position":8,"theme":"blue","private":false,"shareUrl":"https://hf.co/collections/CohereLabs/cohere-labs-aya-23","upvotes":56,"isUpvotedByUser":false}],"datasets":[{"author":"CohereLabs","downloads":5032,"gated":false,"id":"CohereLabs/Global-MMLU-Lite","lastModified":"2025-12-03T16:05:07.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":10855,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":30,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":24,"gated":false,"id":"CohereLabs/fusion-synth-data-geofactx","lastModified":"2025-10-02T05:40:04.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":8419,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["json"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":1,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":27,"gated":false,"id":"CohereLabs/fusion-synth-data-s1kx","lastModified":"2025-10-02T05:39:38.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":10460,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["json"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":0,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":31,"gated":false,"id":"CohereLabs/fusion-pairwise-evals-test-time-scaling","lastModified":"2025-10-02T05:38:56.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":5079,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["json"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":0,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":29,"gated":false,"id":"CohereLabs/fusion-pairwise-evals-finetuned","lastModified":"2025-10-02T05:38:25.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":5250,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["json"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":0,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":24,"gated":false,"id":"CohereLabs/fusion-synth-data-ufb","lastModified":"2025-10-02T05:32:31.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":94722,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["json"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":1,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":14456,"gated":false,"id":"CohereLabs/Global-MMLU","lastModified":"2025-08-14T20:12:53.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":601734,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":148,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":156,"gated":false,"id":"CohereLabs/m-ArenaHard-v2.0","lastModified":"2025-06-27T20:49:03.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":11454,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":5,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":68452,"gated":false,"id":"CohereLabs/xP3x","lastModified":"2025-05-23T15:23:41.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":433773188,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":92,"isLikedByUser":false,"isBenchmark":false},{"author":"CohereLabs","downloads":600,"gated":false,"id":"CohereLabs/AyaVisionBench","lastModified":"2025-05-14T15:31:56.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":3105,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["image","text"]},"private":false,"repoType":"dataset","likes":32,"isLikedByUser":false,"isBenchmark":false}],"models":[{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":89,"gated":"auto","id":"CohereLabs/tiny-aya-fire","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:23.000Z","likes":10,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":172,"gated":"auto","id":"CohereLabs/tiny-aya-earth","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:19.000Z","likes":12,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":621,"gated":"auto","id":"CohereLabs/tiny-aya-global","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:14.000Z","likes":40,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":200,"gated":"auto","id":"CohereLabs/tiny-aya-base","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:07.000Z","likes":28,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":135,"gated":"auto","id":"CohereLabs/tiny-aya-water","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:03.000Z","likes":17,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":924,"gated":false,"id":"CohereLabs/tiny-aya-water-GGUF","availableInferenceProviders":[],"lastModified":"2026-02-17T01:44:57.000Z","likes":8,"private":false,"repoType":"model","isLikedByUser":false,"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":468,"gated":false,"id":"CohereLabs/tiny-aya-fire-GGUF","availableInferenceProviders":[],"lastModified":"2026-02-17T01:44:45.000Z","likes":5,"private":false,"repoType":"model","isLikedByUser":false,"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":431,"gated":false,"id":"CohereLabs/tiny-aya-earth-GGUF","availableInferenceProviders":[],"lastModified":"2026-02-17T01:44:23.000Z","likes":4,"private":false,"repoType":"model","isLikedByUser":false,"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":1417,"gated":false,"id":"CohereLabs/tiny-aya-global-GGUF","availableInferenceProviders":[],"lastModified":"2026-02-17T01:43:40.000Z","likes":10,"private":false,"repoType":"model","isLikedByUser":false,"numParameters":3349227520},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":710,"gated":"auto","id":"CohereLabs/command-a-reasoning-08-2025","availableInferenceProviders":[{"provider":"cohere","modelStatus":"live","providerStatus":"live","providerId":"command-a-reasoning-08-2025","task":"conversational","features":{"structuredOutput":false,"toolCalling":true},"isCheapestPricingOutput":false,"isFastestThroughput":true,"isModelAuthor":true,"tokensPerSecond":82.48495681346392}],"lastModified":"2026-01-13T19:38:05.000Z","likes":130,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":111057580032}],"paperPreviews":[{"_id":"2510.11170","title":"EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling","id":"2510.11170","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2510.11170.png"},{"_id":"2510.00931","title":"Making, not Taking, the Best of N","id":"2510.00931","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2510.00931.png"}],"spaces":[{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"pink","colorTo":"pink","createdAt":"2024-12-14T06:03:42.000Z","emoji":"✍","id":"CohereLabs/review-global-mmlu-lite","lastModified":"2024-12-14T06:03:43.000Z","likes":4,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-basic","requested":"cpu-basic"},"storage":"small","gcTimeout":172800,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"cohereforai-review-global-mmlu-lite.hf.space","stage":"READY"},{"domain":"coherelabs-review-global-mmlu-lite.hf.space","stage":"READY"}],"sha":"4436d853aa3d41647258b1d961105d94d5ba16ba"},"title":"Review Global Mmlu Lite","isLikedByUser":false,"ai_short_description":"Manage and analyze text data","ai_category":"Text Analysis","trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"blue","colorTo":"blue","createdAt":"2026-02-13T09:34:39.000Z","emoji":"🚀","id":"CohereLabs/tiny-aya","lastModified":"2026-02-19T02:46:22.000Z","likes":27,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"coherelabs-tiny-aya.hf.space","stage":"READY"}],"sha":"5f9ebcbc38033246265098464afe5b6a0867c273"},"title":"Tiny Aya","isLikedByUser":false,"ai_short_description":"Chat in any language with the Tiny Aya multilingual model","ai_category":"Text Generation","trendingScore":27,"tags":["gradio","region:us"],"featured":false},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"blue","colorTo":"green","createdAt":"2024-10-23T10:17:23.000Z","emoji":"🌍","id":"CohereLabs/aya_expanse","lastModified":"2026-01-12T23:53:48.000Z","likes":335,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"t4-small","requested":"t4-small"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"cohereforai-aya-expanse.hf.space","stage":"READY"},{"domain":"coherelabs-aya-expanse.hf.space","stage":"READY"}],"sha":"16a7386672a498dd0df9fc616603106b5dbd0f1a"},"shortDescription":"Interact with the Aya family of models.","title":"Aya Models","isLikedByUser":false,"ai_short_description":"Chat, see, and speak with Aya in 23 languages","ai_category":"Chatbots","trendingScore":1,"tags":["gradio","region:us"],"featured":true},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"red","colorTo":"purple","createdAt":"2025-08-25T14:21:34.000Z","emoji":"⚡","id":"CohereLabs/command-a-translate","lastModified":"2025-08-29T12:12:07.000Z","likes":22,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"coherelabs-command-a-translate.hf.space","stage":"READY"}],"sha":"752e17afb136ed0a362a9f85a77e4a27cd5f1d7e"},"title":"Command A Translate","isLikedByUser":false,"ai_short_description":"Translate text into multiple languages","ai_category":"Language Translation","trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"colorFrom":"red","colorTo":"purple","createdAt":"2025-08-11T10:26:18.000Z","emoji":"⚡","id":"CohereLabs/command-a-reasoning","lastModified":"2025-08-20T20:01:47.000Z","likes":24,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":null,"gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"coherelabs-command-a-reasoning.hf.space","stage":"READY"}],"sha":"9e6e7118a435a2d0f7b5d933276e763bcbb7b680"},"title":"Command A Reasoning","isLikedByUser":false,"ai_short_description":"Generate answers to reasoning questions","ai_category":"Question Answering","trendingScore":1,"tags":["gradio","region:us"],"featured":false}],"buckets":[],"numBuckets":0,"numDatasets":23,"numModels":28,"numSpaces":9,"lastOrgActivities":[{"time":"2026-02-19T03:10:24.871Z","user":"alexrs","userAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62668f725fb8d521d94d8451/zm5vQWpgHlZUtaK0NdG8o.jpeg","orgAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","type":"update","repoData":{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":89,"gated":"auto","id":"CohereLabs/tiny-aya-fire","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:23.000Z","likes":10,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},"repoId":"CohereLabs/tiny-aya-fire","repoType":"model","org":"CohereLabs"},{"time":"2026-02-19T03:10:20.478Z","user":"alexrs","userAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62668f725fb8d521d94d8451/zm5vQWpgHlZUtaK0NdG8o.jpeg","orgAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","type":"update","repoData":{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":172,"gated":"auto","id":"CohereLabs/tiny-aya-earth","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:19.000Z","likes":12,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},"repoId":"CohereLabs/tiny-aya-earth","repoType":"model","org":"CohereLabs"},{"time":"2026-02-19T03:10:15.152Z","user":"alexrs","userAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62668f725fb8d521d94d8451/zm5vQWpgHlZUtaK0NdG8o.jpeg","orgAvatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","type":"update","repoData":{"author":"CohereLabs","authorData":{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false},"downloads":621,"gated":"auto","id":"CohereLabs/tiny-aya-global","availableInferenceProviders":[],"lastModified":"2026-02-19T03:10:14.000Z","likes":40,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":3349227520},"repoId":"CohereLabs/tiny-aya-global","repoType":"model","org":"CohereLabs"}],"acceptLanguages":["*"],"canReadRepos":false,"canReadSpaces":false,"blogPosts":[{"_id":"688b59e13f9db215ba2c52f1","isUpvotedByUser":false,"numCoauthors":3,"publishedAt":"2025-07-31T13:58:27.705Z","slug":"introducing-command-a-vision-07-2025","title":"Introducing Command A Vision: Multimodal AI built for Business","upvotes":63,"upvotes7d":0,"authorsData":[{"_id":"640ca1c93623f6a56ddab373","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678549441248-5e70f6048ce3c604d78fe133.png","fullname":"Cohere Labs","name":"CohereLabs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":2161,"isUserFollowing":false}],"url":"/blog/CohereLabs/introducing-command-a-vision-07-2025","apiPrefix":"/api/blog/CohereLabs/introducing-command-a-vision-07-2025","canonical":false,"status":"published","isHFChangelog":false}],"currentRepoPage":0,"filters":{},"inferenceProviderProfile":{"data":[{"date":"2026-02-19T00:00:00.000Z","count":48507},{"date":"2026-02-18T00:00:00.000Z","count":47462},{"date":"2026-02-17T00:00:00.000Z","count":46647},{"date":"2026-02-16T00:00:00.000Z","count":45566},{"date":"2026-02-15T00:00:00.000Z","count":44727},{"date":"2026-02-14T00:00:00.000Z","count":43792},{"date":"2026-02-13T00:00:00.000Z","count":42798},{"date":"2026-02-12T00:00:00.000Z","count":41894},{"date":"2026-02-11T00:00:00.000Z","count":40154},{"date":"2026-02-10T00:00:00.000Z","count":38500},{"date":"2026-02-09T00:00:00.000Z","count":37386},{"date":"2026-02-08T00:00:00.000Z","count":36267},{"date":"2026-02-07T00:00:00.000Z","count":35283},{"date":"2026-02-06T00:00:00.000Z","count":32576},{"date":"2026-02-05T00:00:00.000Z","count":31896},{"date":"2026-02-04T00:00:00.000Z","count":29090},{"date":"2026-02-03T00:00:00.000Z","count":28267},{"date":"2026-02-02T00:00:00.000Z","count":27688},{"date":"2026-02-01T00:00:00.000Z","count":26681},{"date":"2026-01-31T00:00:00.000Z","count":25631},{"date":"2026-01-30T00:00:00.000Z","count":5704},{"date":"2026-01-29T00:00:00.000Z","count":4602},{"date":"2026-01-28T00:00:00.000Z","count":3870},{"date":"2026-01-27T00:00:00.000Z","count":3220},{"date":"2026-01-26T00:00:00.000Z","count":2284},{"date":"2026-01-25T00:00:00.000Z","count":1430},{"date":"2026-01-24T00:00:00.000Z","count":630},{"date":"2026-01-23T00:00:00.000Z","count":0}],"provider":"cohere","total":49187,"updatedAt":"2026-02-19T20:01:33.108Z"},"paperView":false}">
Cohere Labs is Cohere's research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.
Curiosity-driven collaboration
We are committed to making meaningful progress in machine learning research through open collaboration. We believe that technology is powerful, and empowering different perspectives ensures responsible innovation.
Fundamental research lab
We contribute to progress in machine learning through fundamental research. We see contributions to traditional conferences and publications in journals as an important part of our work, but also support efforts that go “beyond the research paper” and encourage scientific communication through different mediums. You can take a look at our publications and research here.
You can review information about our AI governance practices here.