Adaptive KV Cache Quantization: A New Approach to Free Edge Large Models from Memory Bottlenecks

Introduction / Main Floor: Adaptive KV Cache Quantization: A New Approach to Free Edge Large Models from Memory Bottlenecks

This article introduces an adaptive KV cache quantization method inspired by Huffman coding. By dynamically allocating bit widths to tokens of different importance, it achieves reduced memory usage, improved inference speed, and minimal accuracy loss on the SmolLM series models.