Running large language models locally requires smart resource management. Quantization is the key technique that makes this possible by reducing memory requirements and improving inference speed. This practical guide focuses on what you need to know for local LLM deployment, not the mathematical theory[1] behind it. For the technical mathematical details of quantization, check out […]
