This repository provides a complete open-source implementation for fine-tuning LLaMA models using Reinforcement Learning from Human Feedback (RLHF) to create ChatGPT-style assistants. It supports all LLaMA model sizes (7B to 65B parameters) with built-in DeepSpeed ZERO acceleration for faster training. The library enables single-GPU inference and claims 15x faster training compared to the original ChatGPT while maintaining cost-effectiveness.