{"id":4893,"date":"2026-09-26T22:26:51","date_gmt":"2026-09-26T13:26:51","guid":{"rendered":"https:\/\/localmodelwatch.tsuchitsuchi.com\/publishers-en\/"},"modified":"2026-09-27T21:30:39","modified_gmt":"2026-09-27T12:30:39","slug":"publishers-en","status":"publish","type":"page","link":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/publishers-en\/","title":{"rendered":"Open Model Publishers: Hugging Face Models and Our Coverage"},"content":{"rendered":"

Companies and research labs that release open models, with an explanation of each publisher, its recent models on Hugging Face (collected daily by code) and everything we have published about its models. “Articles” counts articles on its own models, on third-party models built on them, and from its official blog. For individual model families, see the model family index<\/a>; for file formats such as GGUF and MLX, the model format index<\/a>.<\/p>\n

\n

\u2192 Scroll horizontally to see all columns<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Publisher<\/th>\nHugging Face organization<\/th>\nModels on Hugging Face<\/th>\nOur articles<\/th>\nOwn \/ Derived \/ Blog<\/th>\nLatest article<\/th>\n<\/tr>\n<\/thead>\n
Alibaba (Qwen)<\/a><\/td>\nQwen<\/a>, ali-vilab<\/a><\/td>\n480<\/td>\n14<\/td>\n2 \/ 12 \/ 0<\/td>\n2026-09-26<\/td>\n<\/tr>\n
NVIDIA<\/a><\/td>\nnvidia<\/a><\/td>\n943<\/td>\n9<\/td>\n1 \/ 0 \/ 8<\/td>\n2026-09-25<\/td>\n<\/tr>\n
Together AI<\/a><\/td>\ntogethercomputer<\/a><\/td>\n38<\/td>\n6<\/td>\n2 \/ 0 \/ 4<\/td>\n2026-09-26<\/td>\n<\/tr>\n
DeepSeek<\/a><\/td>\ndeepseek-ai<\/a><\/td>\n105<\/td>\n4<\/td>\n2 \/ 2 \/ 0<\/td>\n2026-09-26<\/td>\n<\/tr>\n
M-A-P<\/a><\/td>\nm-a-p<\/a><\/td>\n218<\/td>\n3<\/td>\n1 \/ 2 \/ 0<\/td>\n2026-09-15<\/td>\n<\/tr>\n
inclusionAI (Ant Group)<\/a><\/td>\ninclusionAI<\/a><\/td>\n212<\/td>\n3<\/td>\n1 \/ 1 \/ 1<\/td>\n2026-09-24<\/td>\n<\/tr>\n
IFM (MBZUAI)<\/a><\/td>\nIFM<\/a><\/td>\n40<\/td>\n3<\/td>\n3 \/ 0 \/ 0<\/td>\n2026-09-23<\/td>\n<\/tr>\n
EleutherAI<\/a><\/td>\nEleutherAI<\/a><\/td>\n978<\/td>\n2<\/td>\n2 \/ 0 \/ 0<\/td>\n2026-09-16<\/td>\n<\/tr>\n
Tencent<\/a><\/td>\ntencent<\/a><\/td>\n160<\/td>\n2<\/td>\n2 \/ 0 \/ 0<\/td>\n2026-09-18<\/td>\n<\/tr>\n
Mistral AI<\/a><\/td>\nmistralai<\/a><\/td>\n75<\/td>\n2<\/td>\n0 \/ 0 \/ 2<\/td>\n2026-09-10<\/td>\n<\/tr>\n
Xiaomi (MiMo)<\/a><\/td>\nXiaomiMiMo<\/a><\/td>\n28<\/td>\n2<\/td>\n1 \/ 1 \/ 0<\/td>\n2026-09-27<\/td>\n<\/tr>\n
MiniMax<\/a><\/td>\nMiniMaxAI<\/a><\/td>\n21<\/td>\n2<\/td>\n1 \/ 1 \/ 0<\/td>\n2026-09-26<\/td>\n<\/tr>\n
Nex-AGI<\/a><\/td>\nnex-agi<\/a><\/td>\n14<\/td>\n2<\/td>\n2 \/ 0 \/ 0<\/td>\n2026-09-09<\/td>\n<\/tr>\n
Microsoft<\/a><\/td>\nmicrosoft<\/a><\/td>\n544<\/td>\n1<\/td>\n0 \/ 0 \/ 1<\/td>\n2026-09-24<\/td>\n<\/tr>\n
Liquid AI<\/a><\/td>\nLiquidAI<\/a><\/td>\n176<\/td>\n1<\/td>\n1 \/ 0 \/ 0<\/td>\n2026-09-25<\/td>\n<\/tr>\n
OpenBMB<\/a><\/td>\nopenbmb<\/a><\/td>\n173<\/td>\n1<\/td>\n1 \/ 0 \/ 0<\/td>\n2026-09-08<\/td>\n<\/tr>\n
Efficient Large Model (NVIDIA and MIT)<\/a><\/td>\nEfficient-Large-Model<\/a><\/td>\n140<\/td>\n1<\/td>\n1 \/ 0 \/ 0<\/td>\n2026-09-10<\/td>\n<\/tr>\n
Hugging Face<\/a><\/td>\nHuggingFaceTB<\/a>, HuggingFaceM4<\/a><\/td>\n118<\/td>\n1<\/td>\n0 \/ 0 \/ 1<\/td>\n2026-09-22<\/td>\n<\/tr>\n
Lightricks (LTX)<\/a><\/td>\nLightricks<\/a><\/td>\n66<\/td>\n1<\/td>\n1 \/ 0 \/ 0<\/td>\n2026-09-11<\/td>\n<\/tr>\n
Preferred Networks (PFN)<\/a><\/td>\npfnet<\/a><\/td>\n30<\/td>\n1<\/td>\n1 \/ 0 \/ 0<\/td>\n2026-09-24<\/td>\n<\/tr>\n
Meta<\/a><\/td>\nmeta-llama<\/a>, facebook<\/a><\/td>\n2429<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Google<\/a><\/td>\ngoogle<\/a><\/td>\n1134<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Ai2<\/a><\/td>\nallenai<\/a><\/td>\n970<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
LLM-jp (NII)<\/a><\/td>\nllm-jp<\/a><\/td>\n268<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
IBM (Granite)<\/a><\/td>\nibm-granite<\/a><\/td>\n241<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Z.ai (Zhipu AI)<\/a><\/td>\nzai-org<\/a><\/td>\n154<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Swallow (Institute of Science Tokyo)<\/a><\/td>\ntokyotech-llm<\/a><\/td>\n138<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
TII (Falcon)<\/a><\/td>\ntiiuae<\/a><\/td>\n137<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Nous Research<\/a><\/td>\nNousResearch<\/a><\/td>\n126<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Stability AI<\/a><\/td>\nstabilityai<\/a><\/td>\n117<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Skywork<\/a><\/td>\nSkywork<\/a><\/td>\n82<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
rinna<\/a><\/td>\nrinna<\/a><\/td>\n61<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
ByteDance Seed<\/a><\/td>\nByteDance-Seed<\/a><\/td>\n59<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Cohere<\/a><\/td>\nCohereLabs<\/a><\/td>\n55<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Sakana AI<\/a><\/td>\nSakanaAI<\/a><\/td>\n49<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
OpenAI<\/a><\/td>\nopenai<\/a><\/td>\n39<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Black Forest Labs<\/a><\/td>\nblack-forest-labs<\/a><\/td>\n38<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
SB Intuitions (SoftBank)<\/a><\/td>\nsbintuitions<\/a><\/td>\n34<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
CyberAgent<\/a><\/td>\ncyberagent<\/a><\/td>\n32<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Wan<\/a><\/td>\nWan-AI<\/a><\/td>\n27<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
AXCXEPT<\/a><\/td>\nAXCXEPT<\/a><\/td>\n25<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Moonshot AI<\/a><\/td>\nmoonshotai<\/a><\/td>\n19<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
ELYZA<\/a><\/td>\nelyza<\/a><\/td>\n18<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Stockmark<\/a><\/td>\nstockmark<\/a><\/td>\n14<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
KARAKURI<\/a><\/td>\nkarakuri-ai<\/a><\/td>\n10<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Fish Audio<\/a><\/td>\nfishaudio<\/a><\/td>\n9<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n
Nari Labs<\/a><\/td>\nnari-labs<\/a><\/td>\n4<\/td>\n0<\/td>\n0 \/ 0 \/ 0<\/td>\n\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Companies and research labs that release open models, with an explanation of each publisher, its recent models on Hugging Face (collected daily by code) and everything we have published about its models. “Articles” counts articles on its own models, on third-party models built on them, and from its official blog. For individual model families, see […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4893","page","type-page","status-publish","hentry"],"lang":"en","translations":{"en":4893,"ja":4892},"_links":{"self":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/4893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/comments?post=4893"}],"version-history":[{"count":5,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/4893\/revisions"}],"predecessor-version":[{"id":5910,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/4893\/revisions\/5910"}],"wp:attachment":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/media?parent=4893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}