Simple Quantization of LLMs - A Hands-on Guide to Absolute Max and Zero Point Methods

Learn hands-on quantization techniques for small Language Learning Models (LLMs) through practical demonstrations of Absolute Max and Zero Point quantization methods in this 15-minute video tutorial. Explore fundamental quantization concepts that serve as building blocks for understanding advanced methods like GPTQ, GGUF, and AWQ. Access accompanying code through the provided GitHub notebook to practice implementation. Building upon previous quantization fundamentals, gain practical experience that prepares you for upcoming advanced quantization tutorials covering both theoretical concepts and hands-on applications. Perfect for machine learning practitioners looking to optimize LLM performance through quantization techniques.