"GitHub Project Offers Comprehensive Toolkit for Reinforcement Learning from Human Feedback (RLHF), Supports Fine-Tuning, Reward Model Training, and PPO & DPO Algorithms on Alpaca, LLaMA, LLaMA2 Models"

GitHub - raghavc/LLM-RLHF-Tuning-with-PPO-and-DPO: Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Alpaca, LLaMA, and LLaMA2 models.

LLM-RLHF-Tuning This project implements Reinforcement Learning from Human Feedback (RLHF) training from the ground up. It includes detailed documentation of the implementation process and welcomes community discussions and contributions. Main Features Instruction Fine-Tuning: Support for fine-tuning the Alpaca model using specific instructions. Reward Model Training: Includes functionality to train a reward model effectively. PPO Algorithm Training: Offers comprehensive support for training RL m...