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Model Compression and Efficient Inference for Large Language Models: A
  Survey

Model Compression and Efficient Inference for Large Language Models: A Survey

15 February 2024
Wenxiao Wang
Wei Chen
Yicong Luo
Yongliu Long
Zhengkai Lin
Liye Zhang
Binbin Lin
Deng Cai
Xiaofei He
    MQ
ArXivPDFHTML

Papers citing "Model Compression and Efficient Inference for Large Language Models: A Survey"

48 / 48 papers shown
Title
Taming the Titans: A Survey of Efficient LLM Inference Serving
Taming the Titans: A Survey of Efficient LLM Inference Serving
Ranran Zhen
J. Li
Yixin Ji
Z. Yang
Tong Liu
Qingrong Xia
Xinyu Duan
Z. Wang
Baoxing Huai
M. Zhang
LLMAG
77
0
0
28 Apr 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
67
1
0
24 Feb 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
J. Zhao
M. Wang
Miao Zhang
Yuzhang Shang
Xuebo Liu
Yaowei Wang
Min Zhang
Liqiang Nie
MQ
53
1
0
18 Feb 2025
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
Linke Song
Zixuan Pang
Wenhao Wang
Zihao Wang
XiaoFeng Wang
Hongbo Chen
Wei Song
Yier Jin
Dan Meng
Rui Hou
36
6
0
30 Sep 2024
Compact Language Models via Pruning and Knowledge Distillation
Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan
Sharath Turuvekere Sreenivas
Raviraj Joshi
Marcin Chochowski
M. Patwary
M. Shoeybi
Bryan Catanzaro
Jan Kautz
Pavlo Molchanov
SyDa
MQ
27
36
0
19 Jul 2024
BiSup: Bidirectional Quantization Error Suppression for Large Language
  Models
BiSup: Bidirectional Quantization Error Suppression for Large Language Models
Minghui Zou
Ronghui Guo
Sai Zhang
Xiaowang Zhang
Zhiyong Feng
MQ
18
0
0
24 May 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos
Maximilian L. Croci
Marcelo Gennari do Nascimento
Torsten Hoefler
James Hensman
VLM
122
143
0
26 Jan 2024
Fast and Optimal Weight Update for Pruned Large Language Models
Fast and Optimal Weight Update for Pruned Large Language Models
Vladimír Boza
27
5
0
01 Jan 2024
PanGu-$π$: Enhancing Language Model Architectures via Nonlinearity
  Compensation
PanGu-πππ: Enhancing Language Model Architectures via Nonlinearity Compensation
Yunhe Wang
Hanting Chen
Yehui Tang
Tianyu Guo
Kai Han
...
Qinghua Xu
Qun Liu
Jun Yao
Chao Xu
Dacheng Tao
56
15
0
27 Dec 2023
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
S. Pokutta
VLM
48
10
0
23 Dec 2023
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Tim Valicenti
Justice Vidal
Ritik Patnaik
36
8
0
20 Dec 2023
SPT: Fine-Tuning Transformer-based Language Models Efficiently with
  Sparsification
SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification
Yuntao Gui
Xiao Yan
Peiqi Yin
Han Yang
James Cheng
27
2
0
16 Dec 2023
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Yixin Song
Zeyu Mi
Haotong Xie
Haibo Chen
BDL
112
114
0
16 Dec 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model
  Distillation
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
Gaurav Sahu
Olga Vechtomova
Dzmitry Bahdanau
I. Laradji
VLM
47
14
0
22 Oct 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language
  Model
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Zhaoyang Wang
Shaohan Huang
Yuxuan Liu
Jiahai Wang
Minghui Song
...
Haizhen Huang
Furu Wei
Weiwei Deng
Feng Sun
Qi Zhang
LRM
27
11
0
20 Oct 2023
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language
  Models
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
Hang Shao
Bei Liu
Bo Xiao
Ke Zeng
Guanglu Wan
Yanmin Qian
42
17
0
14 Oct 2023
Can pruning make Large Language Models more efficient?
Can pruning make Large Language Models more efficient?
Sia Gholami
Marwan Omar
19
12
0
06 Oct 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery
  Tickets from Large Models
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zhangyang Wang
VLM
32
22
0
18 Jun 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
201
283
0
03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
57
91
0
03 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
  Instructions
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
Minghao Wu
Abdul Waheed
Chiyu Zhang
Muhammad Abdul-Mageed
Alham Fikri Aji
ALM
121
115
0
27 Apr 2023
Instruction Tuning with GPT-4
Instruction Tuning with GPT-4
Baolin Peng
Chunyuan Li
Pengcheng He
Michel Galley
Jianfeng Gao
SyDa
ALM
LM&MA
157
576
0
06 Apr 2023
Task-oriented Memory-efficient Pruning-Adapter
Task-oriented Memory-efficient Pruning-Adapter
Guorun Wang
Jun Yang
Yaoru Sun
28
4
0
26 Mar 2023
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse
  Heterogeneous Computing
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
Xiaozhe Ren
Pingyi Zhou
Xinfan Meng
Xinjing Huang
Yadao Wang
...
Jiansheng Wei
Xin Jiang
Teng Su
Qun Liu
Jun Yao
ALM
MoE
53
59
0
20 Mar 2023
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from
  Comprehensive Study to Low Rank Compensation
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Z. Yao
Xiaoxia Wu
Cheng-rong Li
Stephen Youn
Yuxiong He
MQ
63
56
0
15 Mar 2023
FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU
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
138
208
0
13 Mar 2023
Empirical Evaluation of Post-Training Quantization Methods for Language
  Tasks
Empirical Evaluation of Post-Training Quantization Methods for Language Tasks
Ting Hu
Christoph Meinel
Haojin Yang
MQ
26
3
0
29 Oct 2022
ByteTransformer: A High-Performance Transformer Boosted for
  Variable-Length Inputs
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Yujia Zhai
Chengquan Jiang
Leyuan Wang
Xiaoying Jia
Shang Zhang
Zizhong Chen
Xin Liu
Yibo Zhu
44
42
0
06 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
240
1,070
0
05 Oct 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
James Lee-Thorp
Joshua Ainslie
MoE
27
11
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Transformer Quality in Linear Time
Transformer Quality in Linear Time
Weizhe Hua
Zihang Dai
Hanxiao Liu
Quoc V. Le
71
220
0
21 Feb 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
145
323
0
18 Feb 2022
A Short Study on Compressing Decoder-Based Language Models
A Short Study on Compressing Decoder-Based Language Models
Tianda Li
Yassir El Mesbahi
I. Kobyzev
Ahmad Rashid
A. Mahmud
Nithin Anchuri
Habib Hajimolahoseini
Yang Liu
Mehdi Rezagholizadeh
70
25
0
16 Oct 2021
Scalable and Efficient MoE Training for Multitask Multilingual Models
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim
A. A. Awan
Alexandre Muzio
Andres Felipe Cruz Salinas
Liyang Lu
Amr Hendy
Samyam Rajbhandari
Yuxiong He
Hany Awadalla
MoE
88
82
0
22 Sep 2021
Primer: Searching for Efficient Transformers for Language Modeling
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
Combiner: Full Attention Transformer with Sparse Computation Cost
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren
H. Dai
Zihang Dai
Mengjiao Yang
J. Leskovec
Dale Schuurmans
Bo Dai
73
66
0
12 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
I-BERT: Integer-only BERT Quantization
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
86
332
0
05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization
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
183
0
31 Dec 2020
A Survey on Evolutionary Neural Architecture Search
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu
Y. Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
Kay Chen Tan
112
401
0
25 Aug 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
1,982
0
28 Jul 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
345
0
23 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
228
502
0
12 Mar 2020
Scaling Laws for Neural Language Models
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
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
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
214
571
0
12 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
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