Demystifying Quantizations: Guide to Quantization Methods for LLMs

Quantization is key to running large language models efficiently, balancing accuracy, memory, and cost. This guide explains quantization from its early use in neural networks to today’s LLM-specific techniques like GPTQ, SmoothQuant, AWQ, and GGUF. The post Demystifying Quantizations: Guide to Quantization Methods for LLMs appeared first on Cast AI .