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AI EngineeringTeX

LLaMA-Factory

by Orchestra-Research

LLaMA-Factory is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars838 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/07/19+1% in starsRepository updated 2026/06/16
View source on GitHubDownload repo ZIP
aiai-researchclaudeclaude-codeclaude-skillscodexgeminigpt-5grpohuggingfacemachine-leanringmegatronskillsvllm
Install in seconds
Install LLaMA-Factory
Copy LLaMA-Factory into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/03-fine-tuning/llama-factory ~/.claude/skills/llama-factory

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
03-fine-tuning/llama-factory/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/llama-factory
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering — 3670 skills

What LLaMA-Factory does

Expert guidance for fine-tuning LLMs using LLaMA-Factory, offering a no-code WebUI, support for over 100 models, and quantization with 2-8 bit QLoRA for multimodal applications.

LLaMA-Factory is cataloged under AI Engineering on DirSkills. LLaMA-Factory comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLaMA-Factory

  • What else does Orchestra-Research publish alongside LLaMA-Factory?

    LLaMA-Factory is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way LLaMA-Factory does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does LLaMA-Factory compare to other AI Engineering skills?

    LLaMA-Factory ranks #343 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLaMA-Factory against them. Open each page to compare what they document and how they install.

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