{"id":5120,"date":"2026-09-27T07:06:55","date_gmt":"2026-09-26T22:06:55","guid":{"rendered":"https:\/\/localmodelwatch.tsuchitsuchi.com\/publisher-eleutherai-en\/"},"modified":"2026-09-27T07:21:14","modified_gmt":"2026-09-26T22:21:14","slug":"publisher-eleutherai-en","status":"publish","type":"page","link":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/publisher-eleutherai-en\/","title":{"rendered":"EleutherAI Open Models: Model List, Licenses and Articles"},"content":{"rendered":"<h2>About EleutherAI<\/h2>\n<p>According to its organization card, <strong>EleutherAI<\/strong> is <strong>a non-profit research lab focused on interpretability, alignment and ethics of artificial intelligence<\/strong>. It releases open-source models on its <a href=\"https:\/\/huggingface.co\/EleutherAI\">EleutherAI organization on Hugging Face<\/a> (978 models).<\/p>\n<p>A research group active since the early days of open language models, it has released GPT-NeoX-20B (2022) and <strong>Pythia<\/strong> (2023), which published intermediate training stages to support research on language models.<\/p>\n<h2>What It Releases<\/h2>\n<p>Almost all recent releases are <strong>experimental research models, not models for products<\/strong>.<\/p>\n<ul>\n<li><strong>Safety and interpretability research<\/strong>: the olmo3-7b-sdf-sft models from September 2026 are experimental models based on OLMo-3-7B for hack-ignition, a benchmark of reinforcement learning on exploitable graders. There are also experimental models based on Qwen3-8B.<\/li>\n<li><strong>Research on the influence of training data<\/strong>: the bergson series of models, for training data attribution research.<\/li>\n<li><strong>Earlier flagship models<\/strong>: GPT-NeoX-20B and Pythia (70M to 12B), among others.<\/li>\n<\/ul>\n<h2>Licenses<\/h2>\n<p>Most are <strong>Apache-2.0<\/strong>. Some repositories have no license field. Read each model&#8217;s license text before use. This summary is not legal advice.<\/p>\n<h2>Running Them Locally<\/h2>\n<ul>\n<li><strong>Most are research models and not necessarily suited to general chat.<\/strong> The table below lists many models for specific experimental conditions.<\/li>\n<li><strong>There are no official GGUF builds<\/strong> (as of 2026-09-26).<\/li>\n<\/ul>\n<p><em>Sources: <a href=\"https:\/\/huggingface.co\/EleutherAI\">the EleutherAI organization card<\/a>; the model card of <a href=\"https:\/\/huggingface.co\/EleutherAI\/olmo3-7b-sdf-sft-clean150\">EleutherAI\/olmo3-7b-sdf-sft-clean150<\/a>; the model list of the EleutherAI organization on Hugging Face (all as of 2026-09-26).<\/em><\/p>\n<h2>Our Coverage and Data<\/h2>\n<p>Local Model Watch has published 2 article(s) on EleutherAI&#8217;s own models, 0 on third-party fine-tunes and quantized builds based on them, and 0 from its official blog. The model list below is collected by code from Hugging Face every day. Part of our <a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/publishers-en\/\">publisher index<\/a>; model families link to their <a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/models-en\/\">family pages<\/a>.<\/p>\n<h2>At a Glance<\/h2>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Item<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Hugging Face organization<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\">EleutherAI<\/a><\/td>\n<\/tr>\n<tr>\n<td>Models on Hugging Face<\/td>\n<td>978<\/td>\n<\/tr>\n<tr>\n<td>Articles on its own models<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>Articles on derived models<\/td>\n<td>0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2>Recent Models on Hugging Face<\/h2>\n<p>The publisher lists <strong>978 models<\/strong> in total on Hugging Face. Below are up to 15 of the most recent generative models (text, image, video, audio and so on), the scope of this site, per organization. Classifiers, feature extractors, research components and repositories without a model card are omitted, and the publisher&#8217;s own quantized builds and helper variants are folded into the row of the original model. Parameter counts are left blank for repositories that pack weights into integer types, where Hugging Face&#8217;s count is not the real parameter count.<\/p>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<p class=\"lmw-table-hint\" style=\"margin:0 0 4px;font-size:0.85em;opacity:0.7;\">\u2192 Scroll horizontally to see all columns<\/p>\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Released<\/th>\n<th>Model<\/th>\n<th>Task<\/th>\n<th>Parameters<\/th>\n<th>License<\/th>\n<th>Official variants<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2026-09-16<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/olmo3-7b-sdf-sft-clean150\">EleutherAI\/olmo3-7b-sdf-sft-clean150<\/a><\/td>\n<td>text generation<\/td>\n<td>7.3B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-09-16<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/olmo3-7b-sdf-sft-scrub-b1reset150\">EleutherAI\/olmo3-7b-sdf-sft-scrub-b1reset150<\/a><\/td>\n<td>text generation<\/td>\n<td>7.3B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-09-15<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-wikitext-gpt2-leaderboard\">EleutherAI\/bergson-wikitext-gpt2-leaderboard<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-09-08<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/qwen3-8b-djinnsdf-dolci\">EleutherAI\/qwen3-8b-djinnsdf-dolci<\/a><\/td>\n<td>text generation<\/td>\n<td>8.2B<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-08-30<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-wikitext-2-gpt2\">EleutherAI\/bergson-wikitext-2-gpt2<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td><code>apache-2.0<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-08-21<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/gpt2-custom\">EleutherAI\/gpt2-custom<\/a><\/td>\n<td>text generation<\/td>\n<td>124M<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-19<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-smollm2-scratch-olmo-16k\">EleutherAI\/bergson-smollm2-scratch-olmo-16k<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-18<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-smollm2-lds-32k\">EleutherAI\/bergson-smollm2-lds-32k<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-17<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-smollm2-lds-16k\">EleutherAI\/bergson-smollm2-lds-16k<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-16<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-smollm2-lds-8k\">EleutherAI\/bergson-smollm2-lds-8k<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-16<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/bergson-smollm2-lds-4k\">EleutherAI\/bergson-smollm2-lds-4k<\/a><\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-10<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/gpt-2-wikitext-chunks-epsroot-0-bs64\">EleutherAI\/gpt-2-wikitext-chunks-epsroot-0-bs64<\/a><\/td>\n<td>\u2014<\/td>\n<td>124M<\/td>\n<td><code>mit<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-10<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/gpt-2-wikitext-chunks-epsroot-1e-6-bs64\">EleutherAI\/gpt-2-wikitext-chunks-epsroot-1e-6-bs64<\/a><\/td>\n<td>\u2014<\/td>\n<td>137M<\/td>\n<td><code>mit<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-08<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/Olmo-3-7B-Instruct-recall-9000\">EleutherAI\/Olmo-3-7B-Instruct-recall-9000<\/a><\/td>\n<td>text generation<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>2026-07-08<\/td>\n<td><a href=\"https:\/\/huggingface.co\/EleutherAI\/GPT-2-wikitext-chunks\">EleutherAI\/GPT-2-wikitext-chunks<\/a><\/td>\n<td>text generation<\/td>\n<td>124M<\/td>\n<td><code>mit<\/code><\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><em>From the Hugging Face API. Last changed 2026-09-27 (JST). Collected by code.<\/em><\/p>\n<h2>Licenses of Its Own Models (as recorded in our articles)<\/h2>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>License<\/th>\n<th>Commercial use<\/th>\n<th>Models<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><code>apache-2.0<\/code><\/td>\n<td>Commercial use allowed<\/td>\n<td>EleutherAI\/olmo3-7b-sdf-sft-clean150, EleutherAI\/bergson-wikitext-gpt2-leaderboard<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><em>The license can differ from model to model even within one publisher. This is not legal advice; check each model&#8217;s license text before use.<\/em><\/p>\n<h2>By Model Family<\/h2>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<p class=\"lmw-table-hint\" style=\"margin:0 0 4px;font-size:0.85em;opacity:0.7;\">\u2192 Scroll horizontally to see all columns<\/p>\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Family<\/th>\n<th>Own-model articles<\/th>\n<th>Derived-model articles<\/th>\n<th>Smallest VRAM tier<\/th>\n<th>Latest<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>somo-olmo-sdf<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>\u2014<\/td>\n<td>2026-09-16<\/td>\n<\/tr>\n<tr>\n<td>bergson-wikitext-gpt2-leaderboard<\/td>\n<td>1<\/td>\n<td>0<\/td>\n<td>\u2014<\/td>\n<td>2026-09-15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2>Articles on Its Own Models<\/h2>\n<div class=\"lmw-table-scroll\" tabindex=\"0\" style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;max-width:100%;\">\n<table style=\"width:max-content;min-width:100%;border-collapse:collapse;\">\n<thead>\n<tr>\n<th>Published<\/th>\n<th>Model<\/th>\n<th>Type<\/th>\n<th>Article<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>2026-09-16<\/td>\n<td>EleutherAI\/olmo3-7b-sdf-sft-clean150<\/td>\n<td>New Models<\/td>\n<td><a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/2026\/09\/16\/eleutherai-olmo-3-7b-reward-hacking-models\/\">EleutherAI Releases OLMo-3-7B Models for Reward-Hacking Research<\/a><\/td>\n<\/tr>\n<tr>\n<td>2026-09-15<\/td>\n<td>EleutherAI\/bergson-wikitext-gpt2-leaderboard<\/td>\n<td>New Models<\/td>\n<td><a href=\"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/2026\/09\/15\/eleutherai-releases-bergson-leaderboard-baseline-gpt2-model\/\">EleutherAI Releases Bergson Leaderboard Baseline GPT-2 Model<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><em>Last updated 2026-09-27 (JST). The explanation at the top of this page was written with the help of AI from the primary sources it cites. The tables and lists under &#8220;Our Coverage and Data&#8221; are assembled by code from our article log and the Hugging Face API.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>About EleutherAI According to its organization card, EleutherAI is a non-profit research lab focused on interpretability, alignment and ethics of artificial intelligence. It releases open-source models on its EleutherAI organization on Hugging Face (978 models). A research group active since the early days of open language models, it has released GPT-NeoX-20B (2022) and Pythia (2023), [&hellip;]<\/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-5120","page","type-page","status-publish","hentry"],"lang":"en","translations":{"en":5120,"ja":5119},"_links":{"self":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5120","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=5120"}],"version-history":[{"count":1,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5120\/revisions"}],"predecessor-version":[{"id":5173,"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/pages\/5120\/revisions\/5173"}],"wp:attachment":[{"href":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/wp-json\/wp\/v2\/media?parent=5120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}