Individual skill
peft-fine-tuning
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem. Also covers LLaMA-Factory and Unsloth (guides in references/).
skills/fine-tuning/peft/SKILL.md
Source commit 3456bb4cfa534b491ca0f826a8c7e29919a8aaf4
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,199
- Repository last updated
- Nov 6, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-scientist Repository topic
- auto-research Repository topic
- claude-code Repository topic
- claude-science-desktop-alternative Repository topic
- claude-science-free Repository topic
- literature-review Repository topic
- paper-writing Repository topic
- research-assistant Repository topic
- fine-tuning Declared skill tag
- peft Declared skill tag
- lora Declared skill tag
- qlora Declared skill tag
- parameter-efficient Declared skill tag
- adapters Declared skill tag
- low-rank Declared skill tag
- memory-optimization Declared skill tag
- multi-adapter Declared skill tag
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
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