Demystifying Quantization: Why It Matters for LLMs and Inference Efficiency
As Large Language Models (LLMs) like GPT, LLaMA, and DeepSeek reach hundreds of billions of parameters, the demand for high-speed, low-cost inference has skyrocketed. Quantization is a technique that helps drastically reduces model size and computational requirements by using lower-precision numbers. In this blog, we will discuss quantization and why it is essential.
