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verl-rl-training

Run large-scale GRPO and PPO training for LLMs with verl.

2|Updated Feb 4, 2026
Search Tags:#reinforcement learning#distributed training#ppo#grpo#llm training#model fine-tuning
One-click install
npx skills add https://github.com/zhuangbiaowei/smart_bot --skill verl-rl-training-zhuangbiaowei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verl-rl-training
Source: https://github.com/zhuangbiaowei/smart_bot/tree/main/skills/verl
Command: npx skills add https://github.com/zhuangbiaowei/smart_bot --skill verl-rl-training-zhuangbiaowei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of training large language models using reinforcement learning (RL), enabling efficient and scalable post-training at scale.

Core Features & Use Cases

  • Flexible Backends: Supports various compute backends like FSDP, Megatron-LM, and vLLM for diverse infrastructure needs.
  • Multiple RL Algorithms: Implements algorithms such as PPO, GRPO, and RLOO for advanced model fine-tuning.
  • Use Case: Train a large language model using GRPO on a custom dataset for improved performance on math reasoning tasks, leveraging a distributed GPU cluster.

Quick Start

Launch GRPO training for a Qwen-7B model on the GSM8K dataset using the provided configuration.

Frequently Asked Questions about verl-rl-training

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I train large language models with reinforcement learning using GRPO?▼

You can train large language models with reinforcement learning using GRPO by leveraging the verl library to streamline post-training. It supports fine-tuning models like Qwen-7B on custom datasets for tasks such as math reasoning.

Can I use FSDP or Megatron-LM for distributed LLM training?▼

Yes, you can use FSDP or Megatron-LM for distributed LLM training. The Skill supports flexible backend integrations including FSDP, Megatron-LM, and vLLM to accommodate diverse infrastructure needs.

What is the best way to scale PPO post-training for LLMs?▼

The best way to scale PPO post-training for LLMs is using a production-ready infrastructure like the verl library. It facilitates large-scale reinforcement learning with flexible compute backends across distributed GPU clusters.

Does verl support both PPO and RLOO algorithms for model fine-tuning?▼

Yes, verl supports both PPO and RLOO algorithms for model fine-tuning. It implements multiple advanced reinforcement learning algorithms to address diverse post-training requirements.

How do I start GRPO training on the GSM8K dataset?▼

To start GRPO training on the GSM8K dataset, launch the provided configuration for your model, such as Qwen-7B. This allows you to execute large-scale reinforcement learning training out of the box.

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