This repository provides practical notebooks for fine-tuning large language models including Llama-3, Mistral 7B, CodeLLaMA, and Yarn-Llama-2 variants. Each notebook pairs code implementations with YouTube video explanations. Topics covered include 4-bit quantized fine-tuning with unsloth, ORPO alignment training, custom dataset fine-tuning, and long-context inference with KV cache optimization.