No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

28 February 2024

Papers citing "No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization"

7 / 7 papers shown

Title
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate A. Zandieh Majid Daliri Majid Hadian Vahab Mirrokni MQ 74 0 0 28 Apr 2025
GPU-Accelerated Motion Planning of an Underactuated Forestry Crane in Cluttered Environments M. Vu Gerald Ebmer Alexander Watcher Marc-Philip Ecker Giang Nguyen Tobias Glueck 49 0 0 18 Mar 2025
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference Hanshi Sun Li-Wen Chang Wenlei Bao Size Zheng Ningxin Zheng Xin Liu Harry Dong Yuejie Chi Beidi Chen VLM 75 16 0 28 Oct 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches Jiayi Yuan Hongyi Liu Shaochen Zhong Yu-Neng Chuang ... Hongye Jin V. Chaudhary Zhaozhuo Xu Zirui Liu Xia Hu 23 17 0 01 Jul 2024
BiSup: Bidirectional Quantization Error Suppression for Large Language Models Minghui Zou Ronghui Guo Sai Zhang Xiaowang Zhang Zhiyong Feng MQ 16 0 0 24 May 2024
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU Ying Sheng Lianmin Zheng Binhang Yuan Zhuohan Li Max Ryabinin ... Joseph E. Gonzalez Percy Liang Christopher Ré Ion Stoica Ce Zhang 135 208 0 13 Mar 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020