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fine-tuning-peft

80 / 100 · Low risk

Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.

By davila7/claude-code-templates (GitHub) · coding · 33,523 stars · scanned at commit 06e6072

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.

Works with any agent that supports SKILL.md skills.

What this skill can do

Downloads and installs other software

The author does not mention this.

Found in 7 places.

Show 4 more

Runs commands on your computer

The author does not mention this. Expected for a coding skill.

Found in 1 place.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'fine-tuning-peft' ] || [ -L ~/.agents/skills/'fine-tuning-peft' ]; then echo 'A skill folder named fine-tuning-peft already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/davila7/claude-code-templates' "$d" && git -C "$d" checkout --quiet '06e607224df7801b50327114852ad82d9967e0a5' -- 'cli-tool/components/skills/ai-research/fine-tuning-peft' && mkdir -p ~/.agents/skills && cp -R "$d"/'cli-tool/components/skills/ai-research/fine-tuning-peft' ~/.agents/skills/'fine-tuning-peft' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'fine-tuning-peft' ~/.claude/skills/'fine-tuning-peft' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-1406e607280
2026-11-10a6e6f9380
2026-11-08b086f2680
2026-11-07395f30e80