hiyouga

    hiyouga/LlamaFactory

    Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

    75.9K stars
    9.3K forks
    342 GitHub watchers
    Updated Nov 6, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 159 days ago, with 286 contributors on GitHub.

    Peaked at #5 in the weekly ranking the week of Sep 14, its best in the past year.

    Use Cases & Benefits

    • Provides a unified framework for efficient fine-tuning of over 100 large language and vision-language models using various advanced techniques.
    • Enables scalable, zero-code fine-tuning with support for diverse models, training methods, and hardware optimizations, simplifying complex workflows.
    • Use for rapidly fine-tuning state-of-the-art LLMs like LLaMA, Qwen, and Gemma on custom datasets without deep ML expertise.
    • Use for integrating multimodal capabilities by fine-tuning vision-language models for tasks like image understanding and visual grounding.
    • Use for deploying fine-tuned models with OpenAI-style APIs and accelerated inference backends for production-ready AI services.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    👋 Join our WeChat, NPU, Lab4AI, LLaMA Factory Online user group.

    Fine-tuning a large language model can be easy as...

    Excerpt from the hiyouga/LlamaFactory README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    9.3K+304

    Open issues

    1.2K+110

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    hiyouga/LlamaFactory75.9K—56159 days ago
    Category median115.8K+8.4K75—

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