{"data":{"slug":"eugeneyan-open-llms","name":"open-llms","tagline":"A list of open LLMs available for commercial use","github_url":"https://github.com/eugeneyan/open-llms","owner":"eugeneyan","repo":"open-llms","owner_avatar_url":"https://avatars.githubusercontent.com/u/6831355?v=4","primary_language":null,"stars":12876,"forks":988,"topics":["commercial","large-language-models","llm","llms"],"archived":false,"github_pushed_at":"2025-02-13T06:37:12+00:00","maintenance_label":"Dormant","stars_delta_30d":27,"url":"https://www.graphcanon.com/tools/eugeneyan-open-llms","markdown_url":"https://www.graphcanon.com/tools/eugeneyan-open-llms.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eugeneyan-open-llms","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eugeneyan-open-llms","description":"📋 A list of open LLMs available for commercial use.","homepage_url":null,"license":"Apache-2.0","open_issues":10,"watchers":257,"ai_summary":"Repository lists large language models (LLMs) that are licensed for commercial use, including details such as release date, parameters, context length, and licensing terms.","readme_excerpt":"# Open LLMs\n\nThese LLMs (Large Language Models) are all licensed for commercial use (e.g., Apache 2.0, MIT, OpenRAIL-M). Contributions welcome!\n\n| Language Model | Release Date | Checkpoints | Paper/Blog | Params (B) | Context Length | Licence | Try it                                                                                                                |\n| --- | --- | --- | --- | --- | --- | --- |-----------------------------------------------------------------------------------------------------------------------|\n| T5           | 2019/10 |[T5 & Flan-T5](https://github.com/google-research/t5x/blob/main/docs/models.md#flan-t5-checkpoints), [Flan-T5-xxl (HF)](https://huggingface.co/google/flan-t5-xxl)      | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://github.com/google-research/text-to-text-transfer-transformer#released-model-checkpoints) | 0.06 - 11       | [512](https://discuss.huggingface.co/t/does-t5-truncate-input-longer-than-512-internally/3602) | Apache 2.0         | [T5-Large](https://github.com/slai-labs/get-beam/tree/main/examples/t5)                                               |\n| RWKV 4        | 2021/08| [RWKV, ChatRWKV](https://github.com/BlinkDL/RWKV-LM#rwkv-parallelizable-rnn-with-transformer-level-llm-performance-pronounced-as-rwakuv-from-4-major-params-r-w-k-v) | [The RWKV Language Model (and my LM tricks)](https://github.com/BlinkDL/RWKV-LM)                                           | 0.1 - 14      | [infinity (RNN)](https://github.com/BlinkDL/RWKV-LM#rwkv-parallelizable-rnn-with-transformer-level-llm-performance-pronounced-as-rwakuv-from-4-major-params-r-w-k-v) | Apache 2.0         |                                                                                                                       |\n| GPT-NeoX-20B | 2022/04 | [GPT-NEOX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) | [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://arxiv.org/abs/2204.06745) | 20 | [2048](https://huggingface.co/EleutherAI/gpt-neox-20b) | Apache 2.0 |                                                                                                                       |\n| YaLM-100B | 2022/06 | [yalm-100b](https://huggingface.co/yandex/yalm-100b) | [Yandex publishes YaLM 100B, the largest GPT-like neural network in open source](https://yandex.com/company/press_center/press_releases/2022/2022-23-06) | 100 | [1024](https://github.com/yandex/YaLM-100B/blob/main/examples/generate_interactive.sh) | Apache 2.0 | |\n| UL2          | 2022/10 | [UL2 & Flan-UL2](https://github.com/google-research/google-research/tree/master/ul2#checkpoints), [Flan-UL2 (HF)](https://huggingface.co/google/flan-ul2)          | [UL2 20B: An Open Source Unified Language Learner](https://ai.googleblog.com/2022/10/ul2-20b-open-source-unified-language.html)                                                       | 20             | [512, 2048](https://huggingface.co/google/flan-ul2#tldr) | Apache 2.0         |                                                                                                                       |\n| Bloom | 2022/11 | [Bloom](https://huggingface.co/bigscience/bloom) | [BLOOM: A 176B-Parameter Open-Access Multilingual Language Model](https://arxiv.org/abs/2211.05100) | 176 | [2048](https://huggingface.co/bigscience/bloom) |  [OpenRAIL-M v1](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement) |                                                                                                                       |\n| ChatGLM | 2023/03 | [chatglm-6b](https://huggingface.co/THUDM/chatglm-6b) | [ChatGLM](https://zhipuai.cn/en/news/61), [Github](https://github.com/THUDM/ChatGLM-6B/blob/main/README_en.md) | 6 | [2048](https://huggingface.co/THUDM/chatglm-6b/blob/main/config.json) | [Custom](https://huggingface.co/THUDM/chatglm-6b/blob/main/MODEL_LICENSE) Free with some usage restriction (might require registration) | |\n| Cerebras-GPT | 2023/03","github_created_at":"2023-05-05T16:35:37+00:00","created_at":"2026-07-07T17:33:45.13715+00:00","updated_at":"2026-09-20T04:33:34.06728+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"commercial","name":"commercial"},{"slug":"large-language-models","name":"large-language-models"},{"slug":"llm","name":"llm"},{"slug":"llms","name":"llms"}],"trust":{"provenance":{"is_fork":false,"github_id":636787031,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:48:45.722Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":582,"last_release_at":null,"stars_delta_30d":27,"open_issues_delta_30d":-1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:48:47.364Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:48:44.648Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-18T08:48:44.648Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms."},"requirements":{"notes":["The specific requirements for running the models listed in the repository vary and should be checked individually."],"min_ram_gb":8,"requires_docker":false},"constraints":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need a comprehensive list of open-source LLMs that are licensed for commercial use, including details like release date, parameters, and context length.","If you are looking for models with diverse licensing terms, such as Apache 2.0, MIT, and OpenRAIL-M, which can be critical for compliance with your project's legal requirements.","When you require models with varying context lengths, such as T5 with 512 tokens or RWKV 4 with theoretically infinite context length, to suit different application needs."],"when_not_to_use":["If you need models that are not open-source or are not licensed for commercial use, as open-llms exclusively lists models that are both open-source and commercially usable.","When you require real-time updates or the latest models not yet included in the repository, as the list may not be updated as frequently as other sources.","If you are looking for models with specific features not covered in the repository, such as fine-tuned models for particular tasks, as the repository focuses on general model information."],"source":"enrich:decision_facts","observed_at":"2026-09-18T10:25:56.369Z"},"constraint_facets":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - The repository is free to use, but the commercial use of the models listed may require adherence to their respective licensing terms."},{"label":"Requirements","value":"Min 8 GB RAM; The specific requirements for running the models listed in the repository vary and should be checked individually."},{"label":"Adopt for","value":"open-llms is a curated list of open-source large language models (LLMs) that are licensed for commercial use, providing details such as release date, parameters, context length, and licensing terms."},{"label":"License detail","value":"The repository itself is licensed under Apache-2.0, but the models listed have various licenses, including Apache 2.0, MIT, and OpenRAIL-M."}]}}