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Agent skill

LLaMA-Factory Fine-Tuning Guide

by Orchestra-Research in Orchestra-Research/AI-Research-SKILLs

“Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support”

— description from SKILL.md by Orchestra-Research
MITAuto-check passedAI & LLM Engineering

Install LLaMA-Factory Fine-Tuning Guide

skills CLI
$ npx skills add Orchestra-Research/AI-Research-SKILLs --skill llama-factory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Orchestra-Research/AI-Research-SKILLs llama-factory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/03-fine-tuning/llama-factory .claude/skills/llama-factory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
llama-factory
GitHub stars
13k
Used in
2 other repos
Token cost
~618 tokens
SKILL.md length
249 words
Files
6 (incl. references)
Skills in repo
96
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 2 steps: Re-run the scraper with the same… → The skill will be rebuilt with the…
  • SKILL.md covers When to Use This Skill, Quick Reference, Reference Files and Working with This Skill, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

LLaMA-Factory Fine-Tuning Guide is a skill in Orchestra-Research/AI-Research-SKILLs (13k stars). Its SKILL.md is about 618 tokens, with 5 other files in the folder (references), and copies of it appear in 2 other owners' repositories. Licence: MIT.

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 773a529. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LLaMA-Factory Fine-Tuning Guide loads about 618 tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 249 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~618
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Orchestra-Research/AI-Research-SKILLs at commit 773a529, republished under its MIT licence (© Orchestra-Research). 249 words, ~618 tokens.

Download SKILL.mdSave it as .claude/skills/llama-factory/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
llama-factory
description
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
version
1.0.0
author
Orchestra Research
license
MIT
tags
Fine-Tuning, LLaMA Factory, LLM, WebUI, No-Code, QLoRA, LoRA, Multimodal, HuggingFace, Llama, Qwen, Gemma
dependencies
llmtuner, torch, transformers, datasets, peft, accelerate, gradio

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:

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

© Orchestra-Research, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in 03-fine-tuning/llama-factory of Orchestra-Research/AI-Research-SKILLs.

  • SKILL.md
  • references/_images.md
  • references/advanced.md
  • references/getting_started.md
  • references/index.md
  • references/other.md

Open the folder on GitHubat commit 773a529

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Orchestra-Research/AI-Research-SKILLs, which our catalogue first saw on October 7, 2026.

Compare with similar skills

LLaMA-Factory Fine-Tuning Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LLaMA-Factory Fine-Tuning Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLaMA-Factory Fine-Tuning Guide this skillOrchestra-Research/AI-Research-SKILLs13k2 repos~618Automated safety check: PassMIT
Sentence-Transformers Training Routerhuggingface/skills11k1 repos~2.6kAutomated safety check: PassApache-2.0
Train RlOpenPipe/ART11k—~2.4kAutomated safety check: PassApache-2.0
Qwopus27b Rl TrainingR6410418/Jackrong-llm-finetuning-guide1.7k—~830Automated safety check: PassApache-2.0
Dataset Evaluationawslabs/agent-plugins9161 repos~1.3kAutomated safety check: PassApache-2.0
Train SftOpenPipe/ART11k—~2.9kAutomated safety check: PassApache-2.0

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Categories

Questions about LLaMA-Factory Fine-Tuning Guide

How do I install LLaMA-Factory Fine-Tuning Guide in Claude Code?

Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill llama-factory -a claude-code`. Or copy the skill folder (03-fine-tuning/llama-factory in Orchestra-Research/AI-Research-SKILLs) into .claude/skills/llama-factory in your project. Claude Code loads it when a task matches its description.

How do I install LLaMA-Factory Fine-Tuning Guide in Codex?

Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill llama-factory -a codex`. Or copy the skill folder (03-fine-tuning/llama-factory in Orchestra-Research/AI-Research-SKILLs) into .agents/skills/llama-factory in your project. Codex loads it when a task matches its description.

Can I use LLaMA-Factory Fine-Tuning Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill llama-factory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llama-factory, .gemini/skills/llama-factory, .github/skills/llama-factory and .opencode/skills/llama-factory in your project.

What does LLaMA-Factory Fine-Tuning Guide need to run?

SKILL.md names no scripts, command-line tools or credentials: LLaMA-Factory Fine-Tuning Guide is instructions for the agent only.

Does LLaMA-Factory Fine-Tuning Guide access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is LLaMA-Factory Fine-Tuning Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does LLaMA-Factory Fine-Tuning Guide use?

LLaMA-Factory Fine-Tuning Guide is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does LLaMA-Factory Fine-Tuning Guide use?

About 618 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.

What are the alternatives to LLaMA-Factory Fine-Tuning Guide?

Skills that share tags, products or a category with LLaMA-Factory Fine-Tuning Guide: Sentence-Transformers Training Router (huggingface/skills, 11k stars), Train Rl (OpenPipe/ART, 11k stars), Qwopus27b Rl Training (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Dataset Evaluation (awslabs/agent-plugins, 916 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLaMA-Factory Fine-Tuning Guide?

Orchestra-Research (a GitHub organization) maintains it in Orchestra-Research/AI-Research-SKILLs, which has 13,405 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on June 16, 2026.

Source: Orchestra-Research/AI-Research-SKILLs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.