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Unsloth — Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM

Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.

SourceOptional — install with hermes skills install official/mlops/unsloth
Pathoptional-skills/mlops/training/unsloth
Version1.0.0
AuthorOrchestra Research
LicenseMIT
Dependenciesunsloth, torch, transformers, trl, datasets, peft
Platformslinux, macos
TagsFine-Tuning, Unsloth, Fast Training, LoRA, QLoRA, Memory-Efficient, Optimization, Llama, Mistral, Gemma, Qwen

The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.

Comprehensive assistance with unsloth development, generated from official documentation.

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 patterns will be added as you use the skill.

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.

Start with the getting_started or tutorials reference files for foundational concepts.

Use the appropriate category reference file (api, guides, etc.) for detailed information.

The quick reference section above contains common patterns extracted from the official docs.

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

Add helper scripts here for common automation tasks.

Add templates, boilerplate, or example projects here.

  • 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

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