openrlhf-training

What problem does it solve?

This Skill streamlines the complex and resource-intensive process of Reinforcement Learning from Human Feedback (RLHF) for large language models, making advanced model alignment more accessible.

Core Features & Use Cases

• High-Performance RLHF: Supports PPO, GRPO, RLOO, DPO algorithms with Ray and vLLM acceleration.
• Large Model Training: Optimized for models from 7B to 70B+ parameters.
• Distributed Architecture: Built on Ray for efficient multi-node, multi-GPU training.
• Use Case: Fine-tune a large language model like Llama-3-8B using PPO to align its responses with human preferences, significantly improving its helpfulness and safety.

Quick Start

Use the openrlhf-training skill to start PPO training for a Llama-3-8B model using 8 GPUs.