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Awesome Open-Source LLMs

Awesome License: CC0-1.0 PRs Welcome

A curated, category-organized registry of open-weight / open-source large language models (LLMs), vision-language models, and related model families.

The goal is to be the definitive place to discover downloadable foundation models you can run locally, fine-tune, or embed in your own products.

Inclusion criteria: Models must ship publicly downloadable weights with a clear open-source or open-weight license. Closed API-only models are out of scope. See CONTRIBUTING.md for the full quality bar.


Contents


General-Purpose LLMs

Large, general-capability text models suitable for chat, RAG, agents, and long-context tasks.


Coding LLMs

Models fine-tuned or pre-trained specifically for code generation, completion, infilling, and software engineering tasks.


Reasoning LLMs

Models optimized for chain-of-thought reasoning, math, science, and complex problem solving.


Small / Fast LLMs

Compact models designed for edge, mobile, low-latency, or CPU/GPU-constrained deployments.


Multilingual LLMs

Models explicitly trained or evaluated for strong performance across many languages.


Vision-Language Models

Open models that jointly process text and images for captioning, visual QA, OCR, and multimodal agents.


Fine-Tuned Variants

Popular community and research fine-tunes built on top of open foundation models.


Model Families / Hugging Face Collections

Curated starting points for browsing full model families and official collections on the Hugging Face Hub.


License Notes

Open-weight LLMs are released under a variety of licenses. Always review the model card before deploying commercially.


Related Awesome Lists


Contributing

Read CONTRIBUTING.md for the quality bar, entry format, and PR process.


License

This list is released into the public domain under CC0-1.0.

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Curated open-source large language models, training frameworks, and evaluation resources.

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