A Comprehensive Analysis of Post-Training Quantization Strategies for Large Language Models: GPTQ, AWQ, and GGUF
Executive Summary The proliferation of Large Language Models (LLMs) has been constrained by their immense computational and memory requirements, making efficient inference a critical area of research and development. Post-Training Read More …
