This repository offers a structured path for learning LLMs through theoretical study and hands-on fine-tuning practice. It covers environment setup including CUDA Toolkit and GPU driver installation, Python dependency management via Miniconda, and Jupyter Lab configuration. The guide targets GPU servers with at least 16GB VRAM and walks through cloning the repository, configuring development environments, and executing model fine-tuning workflows.