Overview
fine-tuning-with-trl is an open-source productivity skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with prefer…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.
What fine-tuning-with-trl does
TRL provides post-training methods for aligning language models with human preferences.
What’s inside
The SKILL.md for fine-tuning-with-trl is organised into these sections:
- Quick start
- Common workflows
- Workflow 1: Full RLHF pipeline (SFT → Reward Model → PPO)
- Workflow 2: Simple preference alignment with DPO
- Workflow 3: Memory-efficient online RL with GRPO
- When to use vs alternatives
- Common issues
- Advanced topics
- Hardware requirements
- Resources
Installation
Add fine-tuning-with-trl to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsReview 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
- Codex — declared in the repository topics
License
fine-tuning-with-trl is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Works with Claude Code, Codex
Author
Topics
Alternatives to fine-tuning-with-trl
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Frequently asked questions
- What does fine-tuning-with-trl do?
- Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
- How do I install fine-tuning-with-trl?
- Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
- Is fine-tuning-with-trl free to use?
- Yes. fine-tuning-with-trl 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-with-trl work with?
- fine-tuning-with-trl lists Claude Code and Codex — 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-with-trl come from?
- fine-tuning-with-trl ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.