zechenzhangAGI / unsloth
Install for your project team
Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/unsloth && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/462" && unzip -o skill.zip -d .claude/skills/unsloth && rm skill.zip
Project Skills
This skill will be saved in .claude/skills/unsloth/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
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Skill Content
--- name: unsloth description: Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization version: 1.0.0 author: Orchestra Research license: MIT tags: [Fine-Tuning, Unsloth, Fast Training, LoRA, QLoRA, Memory-Efficient, Optimization, Llama, Mistral, Gemma, Qwen] dependencies: [unsloth, torch, transformers, trl, datasets, peft] --- # Unsloth Skill Comprehensive assistance with unsloth development, generated from official documentation. ## When to Use This Skill This skill should be triggered when: - Working with unsloth - Asking about unsloth features or APIs - Implementing unsloth solutions - Debugging unsloth code - Learning unsloth 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/`: - **llms-txt.md** - Llms-Txt 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 <!-- Trigger re-upload 1763621536 -->