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2306.07629
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SqueezeLLM: Dense-and-Sparse Quantization
13 June 2023
Sehoon Kim
Coleman Hooper
A. Gholami
Zhen Dong
Xiuyu Li
Sheng Shen
Michael W. Mahoney
Kurt Keutzer
MQ
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Papers citing
"SqueezeLLM: Dense-and-Sparse Quantization"
33 / 33 papers shown
Title
Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
Stanislas Laborde
Martin Cousseau
Antoun Yaacoub
Lionel Prevost
MQ
18
0
0
12 May 2025
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
Haojie Duanmu
Xiuhong Li
Zhihang Yuan
Size Zheng
Jiangfei Duan
Xingcheng Zhang
Dahua Lin
MQ
MoE
86
0
0
09 May 2025
Radio: Rate-Distortion Optimization for Large Language Model Compression
Sean I. Young
MQ
17
0
0
05 May 2025
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices
Arnab Sanyal
Prithwish Mukherjee
Gourav Datta
Sandeep P. Chinchali
MQ
56
0
0
05 May 2025
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth
Changhai Zhou
Yuhua Zhou
Qian Qiao
Weizhong Zhang
Cheng Jin
MQ
25
0
0
02 May 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
Xing Hu
Zhixuan Chen
Dawei Yang
Zukang Xu
Chen Xu
Zhihang Yuan
Sifan Zhou
Jiangyong Yu
MoE
MQ
35
0
0
02 May 2025
ICQuant: Index Coding enables Low-bit LLM Quantization
Xinlin Li
Osama A. Hanna
Christina Fragouli
Suhas Diggavi
MQ
58
0
0
01 May 2025
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
A. Zandieh
Majid Daliri
Majid Hadian
Vahab Mirrokni
MQ
74
0
0
28 Apr 2025
FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs
Xilong Xie
Liang Wang
Limin Xiao
Meng Han
L. Sun
S. Zheng
Xiangrong Xu
MQ
31
0
0
28 Apr 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
Zhenyu (Allen) Zhang
Zechun Liu
Yuandong Tian
Harshit Khaitan
Z. Wang
Steven Li
57
0
0
28 Apr 2025
SpinQuant: LLM quantization with learned rotations
Zechun Liu
Changsheng Zhao
Igor Fedorov
Bilge Soran
Dhruv Choudhary
Raghuraman Krishnamoorthi
Vikas Chandra
Yuandong Tian
Tijmen Blankevoort
MQ
127
79
0
21 Feb 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Han Guo
William Brandon
Radostin Cholakov
Jonathan Ragan-Kelley
Eric P. Xing
Yoon Kim
MQ
79
12
0
20 Jan 2025
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
Dongwei Wang
Huanrui Yang
MQ
82
1
0
08 Dec 2024
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Hao Chen
Fuwen Tan
Alexandros Kouris
Royson Lee
Hongxiang Fan
Stylianos I. Venieris
MQ
21
1
0
17 Oct 2024
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Xinyi Zeng
Yuying Shang
Yutao Zhu
Jingyuan Zhang
Yu Tian
AAML
63
2
0
09 Oct 2024
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
Jinhao Li
Jiaming Xu
Shan Huang
Yonghua Chen
Wen Li
...
Jiayi Pan
Li Ding
Hao Zhou
Yu Wang
Guohao Dai
57
15
0
06 Oct 2024
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
Sean I. Young
MQ
35
1
0
03 Sep 2024
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation
Branden Butler
Sixing Yu
Arya Mazaheri
Ali Jannesari
LRM
33
6
0
16 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
33
41
0
09 Jul 2024
LCQ: Low-Rank Codebook based Quantization for Large Language Models
Wen-Pu Cai
Wu-Jun Li
Wu-Jun Li
MQ
27
0
0
31 May 2024
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Ali Edalati
Alireza Ghaffari
M. Asgharian
Lu Hou
Boxing Chen
Vahid Partovi Nia
V. Nia
MQ
78
0
0
23 May 2024
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Yujun Lin
Haotian Tang
Shang Yang
Zhekai Zhang
Guangxuan Xiao
Chuang Gan
Song Han
77
74
0
07 May 2024
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
Jinwei Yao
Kaiqi Chen
Kexun Zhang
Jiaxuan You
Binhang Yuan
Zeke Wang
Tao Lin
20
2
0
30 Mar 2024
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization
Zhikai Li
Xuewen Liu
Jing Zhang
Qingyi Gu
MQ
32
7
0
08 Feb 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai
Yuhong Li
Zhengyang Geng
Hongwu Peng
Jason D. Lee
De-huai Chen
Tri Dao
29
243
0
19 Jan 2024
Extreme Compression of Large Language Models via Additive Quantization
Vage Egiazarian
Andrei Panferov
Denis Kuznedelev
Elias Frantar
Artem Babenko
Dan Alistarh
MQ
98
87
0
11 Jan 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Jung Hwan Heo
Jeonghoon Kim
Beomseok Kwon
Byeongwook Kim
Se Jung Kwon
Dongsoo Lee
MQ
38
9
0
27 Sep 2023
Primer: Searching for Efficient Transformers for Language Modeling
David R. So
Wojciech Mañke
Hanxiao Liu
Zihang Dai
Noam M. Shazeer
Quoc V. Le
VLM
83
149
0
17 Sep 2021
Post-Training Sparsity-Aware Quantization
Gil Shomron
F. Gabbay
Samer Kurzum
U. Weiser
MQ
23
32
0
23 May 2021
Hessian-Aware Pruning and Optimal Neural Implant
Shixing Yu
Z. Yao
A. Gholami
Zhen Dong
Sehoon Kim
Michael W. Mahoney
Kurt Keutzer
44
58
0
22 Jan 2021
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
86
336
0
05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai
Wei Zhang
Lu Hou
Lifeng Shang
Jing Jin
Xin Jiang
Qun Liu
Michael Lyu
Irwin King
MQ
138
221
0
31 Dec 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
225
571
0
12 Sep 2019
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