verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
- Skills
- AI research
- 4
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/verl-rl-training && curl -fsSL https://doutorai.pt/data/lib/skills__verl-rl-training.md -o .claude/skills/verl-rl-training/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: verl-rl-training
description: Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Reinforcement Learning, RLHF, GRPO, PPO, Post-Training, Distributed Training]
dependencies: [verl>=0.3.0, torch>=2.0.0, ray>=2.41.0, vllm>=0.8.2, transformers>=4.40.0]
---
# verl: Volcano Engine Reinforcement Learning for LLMs
verl is a flexible, efficient, and produc
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