Helps adapt LLMs to specific tasks with LLaMA-Factory, including training through a web interface and memory-saving methods such as QLoRA. Provides documentation references for learning features, implementing workflows, and investigating code problems.
- Exploring LLM fine-tuning through a web interface
- Checking LoRA and QLoRA training options
- Investigating LLaMA-Factory implementation problems
davila7/claude-code-templates☆ 32.8KUpdated Oct 18, 2026
Get guidance on adapting LLMs through additional training with LLaMA-Factory. The skill covers a visual interface requiring no code, LoRA and QLoRA training methods, and documentation-based help with implementation, features, and debugging.
- Learning additional training through a visual interface
- Exploring LoRA and QLoRA training methods
- Checking supported models and multimodal features
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Orientação especializada para fine-tuning de LLMs com LLaMA-Factory - WebUI sem código, 100+ modelos, QLoRA 2/3/4/5/6/8-bit, suporte multimodal
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artubss/SKILLS-CLAUDE-CODE☆ 11Updated May 17, 2026
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
The English summary is being prepared. Showing the original description.
huang-sh/DeepScience☆ 4Updated Jul 15, 2026