LLaMA-Factory: zero-code fine-tuning of 100+ language models, README overview
The README presents LLaMA-Factory as a no-code route to fine-tune many LLMs through a CLI or web UI.
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- commit f6355ab6a426eedb800742ecf61896f7bff95ebb · source_revision · · availability: unknown
- LLaMA-Factory: zero-code fine-tuning of 100+ language models, README overview · repository · · availability: available (checked 2026-11-07)
Source: https://github.com/hiyouga/llamafactory
What it supplies: The README presents LLaMA-Factory as a no-code route to fine-tune many LLMs through a CLI or web UI.
Useful for: - Fine-tune open models without writing training code.
- Use the Docker image for a ready CUDA environment.
First action: - Clone the repository and run pip install -e .
- Install the optional metrics requirements if needed.
Prerequisites and limits: Python 3.11 or later, with torch, transformers, datasets and accelerate at the versions in the README table.
- Installation from source is required.
- GPU memory needs depend on the method and model size shown in the README tables.
Source-documented: Apache-2.0. Base models and datasets carry their own licences.
Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on tagline, requirements, installation and licence README text only; other sections were not read. Nothing was installed or run.
Source inspected: https://raw.githubusercontent.com/hiyouga/LlamaFactory/f6355ab6a426eedb800742ecf61896f7bff95ebb/README.md ; 70602 bytes ; sha256 afa9f07accadf3521cd7f2521626f433843bb91b4b1ecfaf75979f902342b433 ; 6 exact pinned excerpts in the draft pin map
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"Python 3.11 or later, with torch, transformers, datasets and accelerate at the versions in the README table.\n\n- Installation from source is required.\n- GPU memory needs depend on the method and model size shown in the README tables.\n\nSource-documented: Apache-2.0. Base models and datasets carry their own licences.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on tagline, requirements, installation and licence README text only; other sections were not read. Nothing was installed or run.",
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}Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied. |