unsloth

name unsloth description Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM. version 1.0.0 author Orchestra Research license MIT dependencies ["unsloth","torch","transformers","trl","datasets","peft"] platforms ["linux","macos"] metadata {"hermes":{"tags":["Fine-Tuning","Unsloth","Fast Training","LoRA","QLoRA","Memory-Efficient","Optimization","Llama","Mistral","Gemma","Qwen"]}} Unsloth Skill 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 full 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: Re-run the scraper with the same configuration The skill will be rebuilt with the latest information