#Vicuna-LoRA-RLHF-PyTorch

The project delivers a complete pathway for tuning the Vicuna Language Model with LoRA and RLHF methodologies on consumer hardware such as the 2080Ti GPU. It includes comprehensive steps for acquiring Vicuna weights, executing supervised fine-tuning, and incorporating PEFT and reward model adapters. Key phases involve managing CUDA memory and version compatibility challenges, enabling effective model training management. References to FastChat and alpaca-lora provide robust setup support for facilitating advanced machine learning tasks in constrained resource environments.