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research-unsloth

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

ソース情報

リポジトリ
GrayCodeAI/starling
ソースの最終更新活動
2026年7月13日 09:28
検出された SKILL.md の言語
英語
スター
2
フォーク
0

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SKILL.md
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name
research-unsloth
description
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
license
MIT
tags
["fine-tuning","unsloth","fast-training","lora","qlora"]
version
1.0.0
author
Orchestra Research
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 -->
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