OpenRLHF - High-Performance RLHF Training Quick start OpenRLHF is a Ray-based RLHF framework optimized for distributed training with vLLM inference acceleration. Installation : PPO Training (Hybrid Engine): GRPO Training (Group Normalized Policy Optimization): Common workflows Workflow 1: Full RLHF pipeline (SFT → Reward Model → PPO) Step 1: Train reward model (DPO): Step 2: PPO training : Workflow 2: GRPO training (no critic model needed) Memory-efficient alternative to PPO: Key GRPO parameters : - - Enables GRPO - - KL loss from GRPO paper - - Loss function (k2 ≈ k1) - - Disables std normal…