Quantization from the Ground Up

Quantization can make LLMs approximately 4x smaller and 2x faster with only 5-10% accuracy loss, enabling large models to run on consumer hardware. The post explains how LLM parameters (weights) work as building blocks in layered neural networks with billions of connections, and how computers store numbers as bits, laying the groundwork for understanding quantization techniques.