GraphCanon updated 2d · GitHub synced 2d
Decision brief
Critical Facts for 'open-llms' Tool Usage
Good fit when
- When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.
- For projects requiring access to a variety of LLMs with differing parameters, context lengths, and release dates to choose the most suitable model according to project needs.
Avoid when
- If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0.
- For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4
- Pricing:
- freemium - Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (549d since push)
- As of 2d
- Provenance
- Not a fork · Personal account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/eugeneyan/open-llmsHow it fits your stack(12)
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FinGPT21k★litgpt14k★MiniMax-M13.2k★Qwen22k★MGM3.3k★ollama178k★LlamaFactory74k★llmfit32k★free-llm-api-resources27k★FinGPT21k★Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository lists Large Language Models (LLMs) that are licensed for commercial use, providing information such as release dates, parameters, context lengths, and licenses.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
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README
Open LLMs
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 |
For agents
This page has a .md twin and JSON over the API.