What AI says about Awesome-LLM-Quantization

This GitHub repository hosts a curated 'Awesome' list of resources on quantization techniques for Large Language Models (LLMs). It collects papers, methods, and tooling aimed at enabling deployment of LLMs on resource-constrained devices by reducing size and compute requirements. The collection includes works like FOEM and VLMQ and serves as a reference hub for researchers and practitioners exploring LLM quantization.