官方说明3 个来源MCP 服务3 天前
Open LLMs
A list of open LLMs available for commercial use
在 GitHub 查看 ↗直链 · 无中转页
- 来源明细
- 收录自 steven2358/awesome-generative-ai 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
- 评分构成
- 综合分 303 · 3 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-10-14；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记
Open LLMs
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
These LLMs (Large Language Models) are all licensed for commercial use (e.g., Apache 2.0, MIT, OpenRAIL-M). Contributions welcome!
| Language Model | Release Date | Checkpoints | Paper/Blog | Params (B) | Context Length | Licence | Try it |
| --- | --- | --- | --- | --- | --- | --- |-----------------------------------------------------------------------------------------------------------------------|
| T5 | 2019/10 |T5 & Flan-T5, Flan-T5-xxl (HF) | Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer | 0.06 - 11 | 512 | Apache 2.0 | T5-Large |
| RWKV 4 | 2021/08| RWKV, ChatRWKV | The RWKV Language Model (and my LM tricks) | 0.1 - 14 | infinity (RNN) | Apache 2.0 | |
| GPT-NeoX-20B | 2022/04 | GPT-NEOX-20B | GPT-NeoX-20B: An Open-Source Autoregressive Language Model | 20 | 2048 | Apache 2.0 | |
| YaLM-100B | 2022/06 | yalm-100b | Yandex publishes YaLM 100B, the largest GPT-like neural network in open source | 100 | 1024 | Apache 2.0 | |
| UL2 | 2022/10 | UL2 & Flan-UL2, Flan-UL2 (HF) | UL2 20B: An Open Source Unified Language Learner | 20 | 512, 2048 | Apache 2.0 | |
| Bloom | 2022/11 | Bloom | BLOOM: A 176B-Parameter Open-Access Multilingual Language Model | 176 | 2048 | OpenRAIL-M v1 | |
| ChatGLM | 2023/03 | chatglm-6b | ChatGLM, Github | 6 | 2048 | Custom Free with some usage restriction (might require registration) | |
| Cerebras-GPT | 2023/03 | Cerebras-GPT | Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models (Paper) | 0.111 - 13 | 2048 | Apache 2.0 | Cerebras-GPT-1.3B |
| Open Assistant (Pythia family) | 2023/03 | OA-Pythia-12B-SFT-8, OA-Pythia-12B-SFT-4, OA-Pythia-12B-SFT-1 | Democratizing Large Language Model Alignment | 12 | 2048 | Apache 2.0 | Pythia-2.8B |
| Pythia | 2023/04 | pythia 70M - 12B | Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling | 0.07 - 12 | 2048 | Apache 2.0 | |
| Dolly | 2023/04 | dolly-v2-12b | Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM | 3, 7, 12 | 2048 | MIT | |
| StableLM-Alpha | 2023/04 | StableLM-Alpha | Stability AI Launches the First of its StableLM Suite of Language Models | 3 - 65 | 4096 | CC BY-SA-4.0 | |
| FastChat-T5 | 2023/04 | fastchat-t5-3b-v1.0 | We are excited to release FastChat-T5: our compact and commercial-friendly chatbot! | 3 | 512 | Apache 2.0 | |
| DLite | 2023/05 | dlite-v2-1_5b | Announcing DLite V2: Lightweight, Open LLMs That Can Run Anywhere | 0.124 - 1.5 | 1024 | Apache 2.0 | DLite-v2-1.5B |
| h2oGPT | 2023/05 | h2oGPT | Building the World’s Best Open-Source Large Language Model: H2O.ai’s Journey | 12 - 20 | 256 - 2048 | Apache 2.0 | |
| MPT-7B | 2023/05 | MPT-7B, MPT-7B-Instruct | Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs | 7 | 84k (ALiBi) | Apache 2.0, CC BY-SA-3.0 | |
| RedPajama-INCITE | 2023/05 | RedPajama-INCITE | Releasing 3B and 7B RedPajama-INCITE family of models including base, instruction-tuned & chat models | 3 - 7 | 2048 | Apache 2.0 | RedPajama-INCITE-Instruct-3B-v1 |
| OpenLLaMA | 2023/05 | open_llama_3b, open_llama_7b, open_llama_13b | OpenLLaMA: An Open Reproduction of LLaMA | 3, 7 | 2048 | Apache 2.0 | OpenLLaMA-7B-Preview_200bt |
| Falcon | 2023/05 | Falcon-180B, Falcon-40B, Falcon-7B | The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only | 180, 40, 7 | 2048 | Apache 2.0 |
| GPT-J-6B | 2023/06 | GPT-J-6B, GPT4All-J | GPT-J-6B: 6B JAX-Based Transformer | 6 | 2048 | Apache 2.0 | |
| MPT-30B | 2023/06 | MPT-30B, MPT-30B-instruct | MPT-30B: Raising the bar for open-source foundation models | 30 | 8192 | Apache 2.0, CC BY-SA-3.0 | MPT 30B inference code using CPU |
| LLaMA 2 | 2023/06 | LLaMA 2 Weights | Llama 2: Open Foundation and Fine-Tuned Chat Models | 7 - 70 | 4096 | Custom Free if you have under 700M users and you cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives | HuggingChat |
| ChatGLM2 | 2023/06 | chatglm2-6b | ChatGLM2-6B, Github | 6 | 32k | Custom Free with some usage restriction (might require registration) | |
| XGen-7B | 2023/06 | xgen-7b-4k-base, xgen-7b-8k-base | Long Sequence Modeling with XGen | 7 | 4096, 8192 | Apache 2.0 | |
| Language Model | Release Date | Checkpoints | Paper/Blog | Params (B) | Context Length | Licence | Try it |
| --- | --- | --- | --- | --- | --- | --- |-----------------------------------------------------------------------------------------------------------------------|
| T5 | 2019/10 |T5 & Flan-T5, Flan-T5-xxl (HF) | Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer | 0.06 - 11 | 512 | Apache 2.0 | T5-Large |
| RWKV 4 | 2021/08| RWKV, ChatRWKV | The RWKV Language Model (and my LM tricks) | 0.1 - 14 | infinity (RNN) | Apache 2.0 | |
| GPT-NeoX-20B | 2022/04 | GPT-NEOX-20B | GPT-NeoX-20B: An Open-Source Autoregressive Language Model | 20 | 2048 | Apache 2.0 | |
| YaLM-100B | 2022/06 | yalm-100b | Yandex publishes YaLM 100B, the largest GPT-like neural network in open source | 100 | 1024 | Apache 2.0 | |
| UL2 | 2022/10 | UL2 & Flan-UL2, Flan-UL2 (HF) | UL2 20B: An Open Source Unified Language Learner | 20 | 512, 2048 | Apache 2.0 | |
| Bloom | 2022/11 | Bloom | BLOOM: A 176B-Parameter Open-Access Multilingual Language Model | 176 | 2048 | OpenRAIL-M v1 | |
| ChatGLM | 2023/03 | chatglm-6b | ChatGLM, Github | 6 | 2048 | Custom Free with some usage restriction (might require registration) | |
| Cerebras-GPT | 2023/03 | Cerebras-GPT | Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models (Paper) | 0.111 - 13 | 2048 | Apache 2.0 | Cerebras-GPT-1.3B |
| Open Assistant (Pythia family) | 2023/03 | OA-Pythia-12B-SFT-8, OA-Pythia-12B-SFT-4, OA-Pythia-12B-SFT-1 | Democratizing Large Language Model Alignment | 12 | 2048 | Apache 2.0 | Pythia-2.8B |
| Pythia | 2023/04 | pythia 70M - 12B | Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling | 0.07 - 12 | 2048 | Apache 2.0 | |
| Dolly | 2023/04 | dolly-v2-12b | Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM | 3, 7, 12 | 2048 | MIT | |
| StableLM-Alpha | 2023/04 | StableLM-Alpha | Stability AI Launches the First of its StableLM Suite of Language Models | 3 - 65 | 4096 | CC BY-SA-4.0 | |
| FastChat-T5 | 2023/04 | fastchat-t5-3b-v1.0 | We are excited to release FastChat-T5: our compact and commercial-friendly chatbot! | 3 | 512 | Apache 2.0 | |
| DLite | 2023/05 | dlite-v2-1_5b | Announcing DLite V2: Lightweight, Open LLMs That Can Run Anywhere | 0.124 - 1.5 | 1024 | Apache 2.0 | DLite-v2-1.5B |
| h2oGPT | 2023/05 | h2oGPT | Building the World’s Best Open-Source Large Language Model: H2O.ai’s Journey | 12 - 20 | 256 - 2048 | Apache 2.0 | |
| MPT-7B | 2023/05 | MPT-7B, MPT-7B-Instruct | Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs | 7 | 84k (ALiBi) | Apache 2.0, CC BY-SA-3.0 | |
| RedPajama-INCITE | 2023/05 | RedPajama-INCITE | Releasing 3B and 7B RedPajama-INCITE family of models including base, instruction-tuned & chat models | 3 - 7 | 2048 | Apache 2.0 | RedPajama-INCITE-Instruct-3B-v1 |
| OpenLLaMA | 2023/05 | open_llama_3b, open_llama_7b, open_llama_13b | OpenLLaMA: An Open Reproduction of LLaMA | 3, 7 | 2048 | Apache 2.0 | OpenLLaMA-7B-Preview_200bt |
| Falcon | 2023/05 | Falcon-180B, Falcon-40B, Falcon-7B | The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only | 180, 40, 7 | 2048 | Apache 2.0 |
| GPT-J-6B | 2023/06 | GPT-J-6B, GPT4All-J | GPT-J-6B: 6B JAX-Based Transformer | 6 | 2048 | Apache 2.0 | |
| MPT-30B | 2023/06 | MPT-30B, MPT-30B-instruct | MPT-30B: Raising the bar for open-source foundation models | 30 | 8192 | Apache 2.0, CC BY-SA-3.0 | MPT 30B inference code using CPU |
| LLaMA 2 | 2023/06 | LLaMA 2 Weights | Llama 2: Open Foundation and Fine-Tuned Chat Models | 7 - 70 | 4096 | Custom Free if you have under 700M users and you cannot use LLaMA outputs to train other LLMs besides LLaMA and its derivatives | HuggingChat |
| ChatGLM2 | 2023/06 | chatglm2-6b | ChatGLM2-6B, Github | 6 | 32k | Custom Free with some usage restriction (might require registration) | |
| XGen-7B | 2023/06 | xgen-7b-4k-base, xgen-7b-8k-base | Long Sequence Modeling with XGen | 7 | 4096, 8192 | Apache 2.0 | |
- 来源
- awesome · https://github.com/eugeneyan/open-llms
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