kv_cache_compression.md

KV Cache Compression

Title & Authors	Introduction	Links
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami		Github Paper
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More Yuxuan Yue, Zhihang Yuan, Haojie Duanmu, Sifan Zhou, Jianlong Wu, Liqiang Nie		Paper
DB-LLM: Accurate Dual-Binarization for Efficient LLMs Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao		Paper
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee		Paper
QAQ: Quality Adaptive Quantization for LLM KV Cache Shichen Dong, Wen Cheng, Jiayu Qin, Wei Wang		Github Paper
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models Haojie Duanmu, Zhihang Yuan, Xiuhong Li, Jiangfei Duan, Xingcheng Zhang, Dahua Lin		Github Paper
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava		Paper
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao		Paper
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition Lu Ye, Ze Tao, Yong Huang, Yang Li		Paper
GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao		Github Paper
Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J. Nair, Ilya Soloveychik, Purushotham Kamath		Paper
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching Youpeng Zhao, Di Wu, Jun Wang		Paper
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen		Github Paper
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang		Paper
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen		Github Paper
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference Dongjie Yang, XiaoDong Han, Yan Gao, Yao Hu, Shilin Zhang, Hai Zhao		Github Paper
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan Kelly		Paper
Layer-Condensed KV Cache for Efficient Inference of Large Language Models Haoyi Wu, Kewei Tu		Github Paper
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang		Paper
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead Amir Zandieh, Majid Daliri, Insu Han		Github Paper
Loki: Low-Rank Keys for Efficient Sparse Attention Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele		Paper
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding Zayd Muhammad Kawakibi Zuhri, Muhammad Farid Adilazuarda, Ayu Purwarianti, Alham Fikri Aji		Github Paper
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches Jiayi Yuan, Hongyi Liu, Shaochen (Henry)Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu		Github Paper
Efficient Sparse Attention needs Adaptive Token Release Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li		Github Paper
GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression Daniel Goldstein, Fares Obeid, Eric Alcaide, Guangyu Song, Eugene Cheah		Github Paper
PQCache: Product Quantization-based KVCache for Long Context LLM Inference Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui		Paper
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Shikuan Hong, Yiwu Yao, Gongyi Wang		Paper
ThinK: Thinner Key Cache by Query-Driven Pruning Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo		Paper
Palu: Compressing KV-Cache with Low-Rank Projection Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Kai-Chiang Wu		Github Paper
Finch: Prompt-guided Key-Value Cache Compression Giulio Corallo, Paolo Papotti		Paper
Zero-Delay QKV Compression for Mitigating KV Cache and Network Bottlenecks in LLM Inference Zeyu Zhang,Haiying Shen		Paper
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy		Github Paper
Post-Training Sparse Attention with Double Sparsity Shuo Yang, Ying Sheng, Joseph E. Gonzalez, Ion Stoica, Lianmin Zheng		Github Paper
A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage Huan Yang, Deyu Zhang, Yudong Zhao, Yuanchun Li, Yunxin Liu		Paper
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang		Paper
AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned Quantization Yifan Tan, Haoze Wang, Chao Yan, Yangdong Deng		Github Paper
KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head Isaac Rehg		Paper
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference Piotr Nawrot, Adrian Łańcucki, Marcin Chochowski, David Tarjan, Edoardo M. Ponti		Paper
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou		Github Paper
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He		Paper
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy Rongzhi Zhang, Kuang Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen		Paper
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang		Github Paper
KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing Yifei Yang, Zouying Cao, Qiguang Chen, Libo Qin, Dongjie Yang, Hai Zhao, Zhi Chen		Github Paper
Residual vector quantization for KV cache compression in large language model Ankur Kumar		Github Paper
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng		Paper
Lossless KV Cache Compression to 2% Zhen Yang, J.N.Han, Kan Wu, Ruobing Xie, An Wang, Xingwu Sun, Zhanhui Kang		Paper
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference You Wu, Haoyi Wu, Kewei Tu		Github Paper