ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.16775
  4. Cited By
A Comprehensive Evaluation of Quantization Strategies for Large Language
  Models
v1v2 (latest)

A Comprehensive Evaluation of Quantization Strategies for Large Language Models

26 February 2024
Renren Jin
Jiangcun Du
Wuwei Huang
Wei Liu
Jian Luan
Bin Wang
Deyi Xiong
    MQ
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Evaluation of Quantization Strategies for Large Language Models"

29 / 29 papers shown
Title
Stability in Single-Peaked Strategic Resource Selection Games
Stability in Single-Peaked Strategic Resource Selection Games
Henri Zeiler
118
2
0
09 May 2025
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models
ConSCompF: Consistency-focused Similarity Comparison Framework for Generative Large Language Models
Alexey Karev
Dong Xu
125
0
0
18 Mar 2025
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
176
6
0
10 Feb 2025
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang
Yue Liao
Jianhui Liu
Ruifei He
Haoru Tan
Shiming Zhang
Hongsheng Li
Si Liu
Xiaojuan Qi
MoE
84
4
0
08 Oct 2024
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Kalyan Nakka
Jimmy Dani
Nitesh Saxena
129
1
0
08 Jun 2024
Rethinking Benchmark and Contamination for Language Models with
  Rephrased Samples
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Shuo Yang
Wei-Lin Chiang
Lianmin Zheng
Joseph E. Gonzalez
Ion Stoica
ALM
55
126
0
08 Nov 2023
Evaluating Large Language Models: A Comprehensive Survey
Evaluating Large Language Models: A Comprehensive Survey
Zishan Guo
Renren Jin
Chuang Liu
Yufei Huang
Dan Shi
...
Linhao Yu
Yan Liu
Jiaxuan Li
Bojian Xiong
Deyi Xiong
ELMLM&MA
69
196
0
30 Oct 2023
Estimating Contamination via Perplexity: Quantifying Memorisation in
  Language Model Evaluation
Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation
Yucheng Li
54
33
0
19 Sep 2023
Do Emergent Abilities Exist in Quantized Large Language Models: An
  Empirical Study
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Peiyu Liu
Zikang Liu
Ze-Feng Gao
Dawei Gao
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
MQLRM
74
35
0
16 Jul 2023
CMMLU: Measuring massive multitask language understanding in Chinese
CMMLU: Measuring massive multitask language understanding in Chinese
Haonan Li
Yixuan Zhang
Fajri Koto
Yifei Yang
Hai Zhao
Yeyun Gong
Nan Duan
Tim Baldwin
ALMELM
95
271
0
15 Jun 2023
Do Large Language Models Know What They Don't Know?
Do Large Language Models Know What They Don't Know?
Zhangyue Yin
Qiushi Sun
Qipeng Guo
Jiawen Wu
Xipeng Qiu
Xuanjing Huang
ELMAI4MH
73
162
0
29 May 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via
  sub-4-bit Integer Quantization
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim
J. H. Lee
Sungdong Kim
Joonsuk Park
Kang Min Yoo
S. Kwon
Dongsoo Lee
MQ
120
103
0
23 May 2023
Measuring Massive Multitask Chinese Understanding
Measuring Massive Multitask Chinese Understanding
Hui Zeng
ALMELMAILaw
73
29
0
25 Apr 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
394
2,388
0
09 Nov 2022
No Language Left Behind: Scaling Human-Centered Machine Translation
No Language Left Behind: Scaling Human-Centered Machine Translation
Nllb team
Marta R. Costa-jussá
James Cross
Onur cCelebi
Maha Elbayad
...
Alexandre Mourachko
C. Ropers
Safiyyah Saleem
Holger Schwenk
Jeff Wang
MoE
226
1,266
0
11 Jul 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for
  Large-Scale Transformers
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Z. Yao
Reza Yazdani Aminabadi
Minjia Zhang
Xiaoxia Wu
Conglong Li
Yuxiong He
VLMMQ
122
479
0
04 Jun 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
OSLMALM
880
13,148
0
04 Mar 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du
Yanping Huang
Andrew M. Dai
Simon Tong
Dmitry Lepikhin
...
Kun Zhang
Quoc V. Le
Yonghui Wu
Zhiwen Chen
Claire Cui
ALMMoE
222
819
0
13 Dec 2021
A General Language Assistant as a Laboratory for Alignment
A General Language Assistant as a Laboratory for Alignment
Amanda Askell
Yuntao Bai
Anna Chen
Dawn Drain
Deep Ganguli
...
Tom B. Brown
Jack Clark
Sam McCandlish
C. Olah
Jared Kaplan
ALM
118
779
0
01 Dec 2021
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
308
4,533
0
27 Oct 2021
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language
  Models
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Samuel Gehman
Suchin Gururangan
Maarten Sap
Yejin Choi
Noah A. Smith
158
1,209
0
24 Sep 2020
Fast Transformer Decoding: One Write-Head is All You Need
Fast Transformer Decoding: One Write-Head is All You Need
Noam M. Shazeer
154
472
0
06 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
445
20,298
0
23 Oct 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
143
1,682
0
27 Aug 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
156
3,138
0
15 Dec 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
306
4,025
0
14 Apr 2017
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
328
2,895
0
26 Sep 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
321
4,293
0
21 Aug 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
347
3,551
0
10 Jun 2015
1