This repository provides practical Jupyter Notebook guides for efficiently fine-tuning large language models (LLM) such as Falcon, Llama, and Llama2 using Low-Rank Adaptation (LoRA) and Hugging Face’s PEFT library. It includes multiple notebook tutorials covering text generation tasks with PyTorch, demonstrating techniques for reducing the computational overhead of LLM fine-tuning through parameter-efficient methods.