/llama-factory

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