Skills › AI & Agent Engineering › Model training & fine-tuning
unsloth
Expert guidance for fast fine-tuning with Unsloth – 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
The full skill
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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
dependencies: [unsloth, torch, transformers, trl, datasets, peft]
metadata:
hermes:
tags: [Fine-Tuning, Unsloth, Fast Training, LoRA, QLoRA, Memory-Efficient, Optimization, Llama, Mistral, Gemma, Qwen]
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# 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 –>