LLaMA-Factory Fine-Tuning Guide
Guides an agent through fine-tuning LLMs with LLaMA-Factory, including no-code WebUI and QLoRA options
- Repository
- Orchestra-Research/AI-Research-SKILLs
- Stars
- 14,195
- Licence
- MIT
- Files
- 6 files
What it does
This skill gives an AI agent background documentation on LLaMA-Factory, an open-source tool for customising (fine-tuning) large language models on your own data. Once installed, the agent can draw on the bundled reference notes to explain setup, options such as the no-code web interface and low-bit QLoRA training, and which supported models are available. The skill is a documentation bundle auto-generated from official docs; its SKILL.md itself contains little beyond an overview and says the quick-reference patterns are still to be added.
Great for
- Developers who want a guided starting point for fine-tuning open models with LLaMA-Factory
- People who prefer a no-code WebUI and want an agent to explain the steps
- Students learning how QLoRA and LoRA fine-tuning work in practice
Skip it if
- Production training decisions that need verified, current commands: the reference text was auto-scraped and may be outdated, and the skill does not say which version it reflects
- Anyone expecting executable helper scripts: the scripts folder is an empty placeholder, so the skill adds no automation of its own
- Work needing sensitive training data sent through a cloud tool without review, since the skill does not address data handling
Try asking
- “Walk me through setting up LLaMA-Factory's WebUI to fine-tune a small Qwen model on my own dataset.”
- “Explain the difference between LoRA and QLoRA in LLaMA-Factory and which bit-width I should pick on a 12 GB GPU.”
- “Help me format a JSON instruction dataset for LLaMA-Factory training.”
- “What multimodal models can I fine-tune with LLaMA-Factory?”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 6 original files, the MIT licence and an attribution note.
llama-factory.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip llama-factory.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip llama-factory.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Verify commands and flags against the official LLaMA-Factory documentation before running them, because the bundled notes are auto-generated snapshots.
- Name your exact model, GPU memory and dataset format in your request so the agent can pick a suitable quantisation and config.
- Ask the agent to explain each step before running training, since the skill itself does not execute anything.
What's inside
- references/_images.md
- references/advanced.md
- references/getting_started.md
- references/index.md
- references/other.md
- SKILL.md
Redistributed unmodified from Orchestra-Research/AI-Research-SKILLs under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.