llama-factory
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
When & Why to Use This Skill
This Claude skill serves as a comprehensive expert assistant for LLaMA-Factory, a leading open-source framework for efficient LLM fine-tuning. It provides technical guidance on utilizing the no-code WebUI, configuring advanced training techniques like QLoRA (2/3/4/5/6/8-bit), and managing multimodal model workflows. By integrating official documentation and best practices, it helps developers streamline the process of training and deploying over 100 supported large language models.
Use Cases
- Case 1: Setting up and navigating the LLaMA-Factory WebUI for no-code fine-tuning of models like Llama 3 or Qwen.
- Case 2: Optimizing memory usage and training speed using QLoRA and LoRA configurations for resource-constrained environments.
- Case 3: Troubleshooting complex dependency issues or runtime errors involving torch, transformers, and PEFT libraries.
- Case 4: Implementing multimodal fine-tuning strategies for vision-language models based on official reference patterns.
- Case 5: Transitioning from basic fine-tuning to advanced API-based model deployment and evaluation.
| 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:
- Re-run the scraper with the same configuration
- The skill will be rebuilt with the latest information