fine-tuning-expert
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
Before you install
- Last update
- Files in folder
- 6
- Scripts
- No script files found
- SKILL.md size
- 6.6 KB (about 1,701 tokens of context each time it loads)
- License
- MIT
- Source on GitHub
- Jeffallan/claude-skills
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Install
npx skills add Jeffallan/claude-skills@fine-tuning-expertRuns in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.
Install for your agent
npx skills add Jeffallan/claude-skills@fine-tuning-expert --agent claude-code -y- Project install writes to
.claude/skills/fine-tuning-expert- Global install writes to
~/.claude/skills/fine-tuning-expert
Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /fine-tuning-expert.
What it does
Fine-Tuning Expert Senior ML engineer specializing in LLM fine-tuning, parameter-efficient methods, and production model optimization. Core Workflow 1. Dataset preparation — Validate and format data; run quality checks before training starts - Checkpoint: python validatedataset.py --input data.jsonl — fix all errors before proceeding 2. Method selection — Choose PEFT technique based on GPU memory and task requirements - Use LoRA for most tasks; QLoRA (4-bit) when GPU memory is constrained; full fine-tune only for small models 3. Training — Configure hyperparameters, monitor loss curves,…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
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