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AI EngineeringTeX

OpenRLHF Training

by Orchestra-Research

OpenRLHF Training is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars838 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/07/19+1% in starsRepository updated 2026/06/16
View source on GitHubDownload repo ZIP
aiai-researchclaudeclaude-codeclaude-skillscodexgeminigpt-5grpohuggingfacemachine-leanringmegatronskillsvllm
Install in seconds
Install OpenRLHF Training
Copy OpenRLHF Training into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/06-post-training/openrlhf ~/.claude/skills/openrlhf

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
06-post-training/openrlhf/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/openrlhf
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering — 3670 skills

What OpenRLHF Training does

Train large language models (7B-70B+) using RLHF techniques like PPO, GRPO, RLOO, and DPO with distributed Ray and vLLM acceleration, achieving 2× faster training than DeepSpeedChat.

OpenRLHF Training is cataloged under AI Engineering on DirSkills. OpenRLHF Training comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

OpenRLHF - High-Performance RLHF Training

Quick start

OpenRLHF is a Ray-based RLHF framework optimized for distributed training with vLLM inference acceleration.

Installation:

# Launch Docker container
docker run --runtime=nvidia -it --rm --shm-size="10g" --cap-add=SYS_ADMIN \
  -v $PWD:/openrlhf nvcr.io/nvidia/pytorch:25.02-py3 bash

# Uninstall conflicts
sudo pip uninstall xgboost transformer_engine flash_attn pynvml -y

# Install OpenRLHF with vLLM
pip install openrlhf[vllm]

This is the opening of the README. Read the full README on GitHub.

Frequently asked about OpenRLHF Training

  • What else does Orchestra-Research publish alongside OpenRLHF Training?

    OpenRLHF Training is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way OpenRLHF Training does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does OpenRLHF Training compare to other AI Engineering skills?

    OpenRLHF Training ranks #355 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of OpenRLHF Training against them. Open each page to compare what they document and how they install.

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