Use Case
Peft Fine Tuning isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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. This guide covers how to deploy Peft Fine Tuning for your team, standardize prompts, and create shared workflows that everyone can use.
Install Peft Fine Tuning in your project directory: .claude/skills/peft/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Peft Fine Tuning in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Peft Fine Tuning
How can my team use Peft Fine Tuning together?
Set up Peft Fine Tuning for our project so everyone can use it
Create a shared workflow using Peft Fine Tuning for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install peftOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install peftβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/peft/π‘Extract and place the folder at the path above, then restart your agent.