llama-factory

Points your assistant to LLaMA-Factory's documentation for fine-tuning language models, including its no-code web screen, LoRA and 2- to 8-bit QLoRA, and support for 100+ models. The skill itself is a short index; the detail is the project's documentation copied into reference files, much of it in Chinese.

WHEN TO USE

SCOPE

USE FOR

Fine-tune a model from LLaMA-Factory's web screen without writing code.
Prepare a custom dataset in the format LLaMA-Factory expects.
Merge a trained LoRA adapter back into its base model.
Train with 2- to 8-bit QLoRA to fit a smaller GPU.
Spread training across several GPUs.

This is a saved copy of the skill's SKILL.md instructions. It may differ from the upstream file or the version you install.

In this document (8)

Llama-Factory Skill

Comprehensive assistance with llama-factory development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

Working with llama-factory
Asking about llama-factory features or APIs
Implementing llama-factory solutions
Debugging llama-factory code
Learning llama-factory best practices

Quick Reference

Common Patterns

Quick reference patterns will be added as you use the skill.

Reference Files

This skill includes comprehensive documentation in references/:

_images.md - Images documentation
advanced.md - Advanced documentation
getting_started.md - Getting Started documentation
other.md - Other documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

Detailed explanations
Code examples with language annotations
Links to original documentation
Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

This skill was automatically generated from official documentation
Reference files preserve the structure and examples from source docs
Code examples include language detection for better syntax highlighting
Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

Re-run the scraper with the same configuration
The skill will be rebuilt with the latest information

Local tool required

1 FOR THE AGENT

01
Install the LLaMA-Factory Python packages
Install llmtuner, torch, transformers, datasets, peft, accelerate, and gradio so the no-code WebUI and CLI fine-tuning workflow can run.

This skill ships inside the AI Research Skills plugin.

Run this outside your AI tool, using Node.js 22.20.0 or newer. Skills CLI 1.7.2 skips skill selection; prompts cancel installation without an interactive terminal. If choosing Project when asked about installation scope, open your project's folder before running this.

Install checklist

Check selected tools if a picker appears; Claude Code may be unchecked under Additional agents. ↑/↓ moves, Space toggles selections, Enter confirms.
Without a tool picker, check Installing to: for your intended tool. Stop if it names a different tool.
If asked, choose Symlink (Recommended) for shared files or Copy to all agents for separate copies; review the summary before confirming installation.
Install the find-skills skill? defaults to Yes, adding another skill for all projects. Choose No if you don't want that extra installation.

Skills CLI 1.7.2 sends install data to skills.sh by default, including the source, skill names, target tools and file details; GitHub sources are reported only when GitHub confirms the repository is public, while other remote sources can also be reported. Confirmed-public GitHub sources also trigger a security-audit request. Before installing, set the environment variable DO_NOT_TRACK=1 or DISABLE_TELEMETRY=1 to disable both.

npx skills add orchestra-research/ai-research-skills --skill "llama-factory" --full-depth

After installing for Claude Code, open it in the installation project if you chose Project; Global makes the skill available across projects on this computer. Once Claude Code loads the skill, its description helps Claude decide when to use it.

If installation created a top-level skills folder that did not exist when your Claude Code session started, run /reload-skills in that session. Run it again after later changes in that folder.

What's inside

Files included with this skill.

View on GitHub

The repository is licensed under MIT — use, modification, and redistribution are allowed under that license’s terms.

View the repository’s license file on GitHub →