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SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention

24 February 2025
Hong Yankun
Li Xing
Zhen Hui-Ling
Yu Xianzhi
Liu Wulong
Yuan Mingxuan
    MQ
ArXiv (abs)PDFHTML

Papers citing "SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention"

28 / 28 papers shown
Title
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
Qingyun Jin
Xiaohui Song
Feng Zhou
Zengchang Qin
57
4
0
31 Dec 2024
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
Xinghao Wang
Pengyu Wang
Bo Wang
Dong Zhang
Yunhua Zhou
Xipeng Qiu
MQ
58
1
0
31 Oct 2024
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
Hanshi Sun
Li-Wen Chang
Yiyuan Ma
Wenlei Bao
Ningxin Zheng
Xin Liu
Harry Dong
Yuejie Chi
Beidi Chen
VLM
135
21
0
28 Oct 2024
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive
  Compression Strategy
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
MQ
79
12
0
04 Oct 2024
AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned
  Quantization
AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned Quantization
Yifan Tan
Haoze Wang
Chao Yan
Yangdong Deng
MQ
66
2
0
25 Sep 2024
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
Utkarsh Saxena
Gobinda Saha
Sakshi Choudhary
Kaushik Roy
91
18
0
10 Aug 2024
Palu: Compressing KV-Cache with Low-Rank Projection
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
N. Huang
Luis Ceze
Kai-Chiang Wu
91
2
0
30 Jul 2024
ThinK: Thinner Key Cache by Query-Driven Pruning
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
162
23
0
30 Jul 2024
Optimised Grouped-Query Attention Mechanism for Transformers
Optimised Grouped-Query Attention Mechanism for Transformers
Yuang Chen
Cheng Zhang
Xitong Gao
Robert D. Mullins
George A. Constantinides
Yiren Zhao
73
9
0
21 Jun 2024
Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
Jiaming Tang
Yilong Zhao
Kan Zhu
Guangxuan Xiao
Baris Kasikci
Song Han
94
106
0
16 Jun 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for
  Large Language Models
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping
Shuo Wang
Hanqing Wang
Xu Han
Yuzhuang Xu
Yukun Yan
Yun Chen
Baobao Chang
Zhiyuan Liu
Maosong Sun
MQ
110
10
0
13 Jun 2024
Loki: Low-Rank Keys for Efficient Sparse Attention
Loki: Low-Rank Keys for Efficient Sparse Attention
Prajwal Singhania
Siddharth Singh
Shwai He
Soheil Feizi
A. Bhatele
97
22
0
04 Jun 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for
  KV Cache Compression
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
Peiyu Liu
Zeming Gao
Wayne Xin Zhao
Yipeng Ma
Tao Wang
Ji-Rong Wen
MQ
140
5
0
21 May 2024
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Chengyue Wu
Haotian Tang
Shang Yang
Zhekai Zhang
Guangxuan Xiao
Chuang Gan
Song Han
142
96
0
07 May 2024
SnapKV: LLM Knows What You are Looking for Before Generation
SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li
Yingbing Huang
Bowen Yang
Bharat Venkitesh
Acyr Locatelli
Hanchen Ye
Tianle Cai
Patrick Lewis
Deming Chen
VLM
132
210
0
22 Apr 2024
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang
Yu Zheng
Zhongwei Wan
Mi Zhang
MQ
139
63
0
12 Mar 2024
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware
  Mixed Precision Quantization
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
J. Yang
Byeongwook Kim
Jeongin Bae
Beomseok Kwon
Gunho Park
Eunho Yang
S. Kwon
Dongsoo Lee
MQ
139
53
0
28 Feb 2024
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Zirui Liu
Jiayi Yuan
Hongye Jin
Shaochen Zhong
Zhaozhuo Xu
Vladimir Braverman
Beidi Chen
Helen Zhou
MQ
100
204
0
05 Feb 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache
  Quantization
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Coleman Hooper
Sehoon Kim
Hiva Mohammadzadeh
Michael W. Mahoney
Y. Shao
Kurt Keutzer
A. Gholami
MQ
82
224
0
31 Jan 2024
SparQ Attention: Bandwidth-Efficient LLM Inference
SparQ Attention: Bandwidth-Efficient LLM Inference
Luka Ribar
Ivan Chelombiev
Luke Hudlass-Galley
Charlie Blake
Carlo Luschi
Douglas Orr
121
54
0
08 Dec 2023
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge
Yunan Zhang
Liyuan Liu
Minjia Zhang
Jiawei Han
Jianfeng Gao
58
259
0
03 Oct 2023
Efficient Streaming Language Models with Attention Sinks
Efficient Streaming Language Models with Attention Sinks
Michel Lang
Yuandong Tian
Beidi Chen
Song Han
Mike Lewis
AI4TSRALM
138
790
0
29 Sep 2023
LongBench: A Bilingual, Multitask Benchmark for Long Context
  Understanding
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai
Xin Lv
Jiajie Zhang
Hong Lyu
Jiankai Tang
...
Aohan Zeng
Lei Hou
Yuxiao Dong
Jie Tang
Juanzi Li
LLMAGRALM
97
603
0
28 Aug 2023
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large
  Language Models
H2_22​O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Zhenyu Zhang
Ying Sheng
Dinesh Manocha
Tianlong Chen
Lianmin Zheng
...
Yuandong Tian
Christopher Ré
Clark W. Barrett
Zhangyang Wang
Beidi Chen
VLM
151
313
0
24 Jun 2023
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head
  Checkpoints
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Joshua Ainslie
James Lee-Thorp
Michiel de Jong
Yury Zemlyanskiy
Federico Lebrón
Sumit Sanghai
101
695
0
22 May 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,761
0
15 Mar 2023
Efficiently Scaling Transformer Inference
Efficiently Scaling Transformer Inference
Reiner Pope
Sholto Douglas
Aakanksha Chowdhery
Jacob Devlin
James Bradbury
Anselm Levskaya
Jonathan Heek
Kefan Xiao
Shivani Agrawal
J. Dean
106
325
0
09 Nov 2022
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
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