Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
fine-tuning-with-trl
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.
Installation
Add fine-tuning-with-trl to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
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
When to use it
Reach for fine-tuning-with-trl when you want productivity help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Actively maintained (recent commits)
Topics
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.
- 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.
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