This project is a Python-based tool that provides over 20 pre-trained LLMs (Large Language Models) for fine-tuning and deployment. It can be utilized through a Python library or command-line interface to perform a variety of operations on the models, including fine-tuning, pre-training, evaluation, and deploying services. The tool supports automatic downloading of models from Hugging Face (HF), custom datasets, performance optimization, memory requirement reduction (precision), and various fine-tuning methods such as LoRA, QLoRA, and Adapters.