Llama Factory
Skill Verified ActiveExpert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
To serve as an expert guide and documentation resource for users working with LLaMA-Factory, enabling efficient and effective fine-tuning of LLMs with a no-code approach.
Features
- Expert guidance for LLaMA-Factory
- No-code WebUI for LLM fine-tuning
- Support for 100+ models
- 2/3/4/5/6/8-bit QLoRA
- Multimodal support
- Comprehensive reference documentation
Use Cases
- Learning LLaMA-Factory features and APIs
- Implementing LLaMA-Factory solutions
- Debugging LLaMA-Factory code
- Understanding fine-tuning best practices
Non-Goals
- Directly executing LLM fine-tuning tasks (provides guidance instead)
- Replacing the LLaMA-Factory framework itself
- Covering fine-tuning frameworks other than LLaMA-Factory
Trust
- info:Issues AttentionThere are 17 open issues and 4 closed issues in the last 90 days, indicating a closure rate of approximately 19%, which suggests maintainers might be slow to respond to a moderate volume of issues.
Installation
npx skills add davila7/claude-code-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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