Explaining Quantization
Quantization is one of the fundamental optimization techniques in the field of Machine Learning. It allows for the compression of Large Language Models (LLMs), dramatically reducing memory consumption (VRAM/RAM) and speeding up response times, with minimal loss in reasoning capability. In simple terms, quantizing is reducing the numerical precision of a neural network’s weights. What … Read more