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.

by Jeffallan 11k GitHub stars MIT Updated Aug 7, 2026
fine-tuning-expert skill by Jeffallan
Social preview for Jeffallan/claude-skills

Overview

fine-tuning-expert is an open-source data skill for Claude Code and compatible agents, published by Jeffallan. Its author describes it as: “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-tuni…”. The project has 11k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Jeffallan/claude-skills`.

What fine-tuning-expert does

Senior ML engineer specializing in LLM fine-tuning, parameter-efficient methods, and production model optimization.

Best for

What’s inside

The SKILL.md for fine-tuning-expert is organised into these sections:

  • Core Workflow
  • Reference Guide
  • Minimal Working Example — LoRA Fine-Tuning with Hugging Face PEFT
  • Constraints
  • MUST DO
  • MUST NOT DO
  • Output Templates

Installation

Add fine-tuning-expert to your agent with:

/plugin marketplace add Jeffallan/claude-skills

Review a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.

Supported agents

  • Claude Code — ships a claude code plugin marketplace

License

fine-tuning-expert is published under the MIT license.

Strengths

  • Clear MIT license — safe to read and adapt within its terms
  • Ships in Jeffallan/claude-skills, an established project with 11,060 GitHub stars
  • Works with Claude Code
  • Actively maintained — repository updated in the last 90 days

Author

Jeffallan 41 skills in the catalog · GitHub profile ↗
View skills

Topics

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Frequently asked questions

What does fine-tuning-expert do?
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.
How do I install fine-tuning-expert?
Run /plugin marketplace add Jeffallan/claude-skills in your agent, then reload your skills. Review the source at https://github.com/Jeffallan/claude-skills before installing.
Is fine-tuning-expert free to use?
Yes. fine-tuning-expert is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Which agents does fine-tuning-expert work with?
fine-tuning-expert lists Claude Code — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
Where does fine-tuning-expert come from?
fine-tuning-expert ships inside Jeffallan/claude-skills, a repository that contains 41 catalogued skills in total. The repository's 11,060 GitHub stars apply to that whole collection, not to this skill on its own.

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