fine-tuning-with-trl
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install orchestra-research-ai-research-skills-trl-fine-tuning
Repository
Skill path: 06-post-training/trl-fine-tuning
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.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Orchestra-Research.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install fine-tuning-with-trl into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Orchestra-Research/AI-Research-SKILLs before adding fine-tuning-with-trl to shared team environments
- Use fine-tuning-with-trl for development workflows
Works across
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Sub-skills: 0.
Aggregator: No.