
Llama Factory
If you're fine-tuning LLMs and want to avoid writing boilerplate training code, this gives you expert guidance on LLaMA-Factory's WebUI and APIs. It covers the no-code interface, QLoRA configurations from 2-bit to 8-bit, and multimodal support across 100+ models including Llama, Qwen, and Gemma. The references include getting started guides, advanced techniques, and API docs pulled from official sources. Honestly most useful if you're already committed to LLaMA-Factory as your training framework. The skill helps you navigate features and debug issues without constantly context-switching to documentation.
- skills.sh installs
- 1K
- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill llama-factory --agent claude-codeInstalls into .claude/skills of the current project.
Files
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.
Sponsors
Details
- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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