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. 2307.09782
  4. Cited By
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization
  Using Floating-Point Formats

ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

19 July 2023
Xiaoxia Wu
Z. Yao
Yuxiong He
    MQ
ArXivPDFHTML

Papers citing "ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats"

34 / 34 papers shown
Title
FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers
FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers
Ruichen Chen
Keith G. Mills
Di Niu
MQ
50
0
0
19 Mar 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
Jiajun Zhou
Yifan Yang
Kai Zhen
Z. Liu
Yequan Zhao
Ershad Banijamali
Athanasios Mouchtaris
Ngai Wong
Zheng Zhang
MQ
41
0
0
17 Feb 2025
BCQ: Block Clustered Quantization for 4-bit (W4A4) LLM Inference
Reena Elangovan
Charbel Sakr
A. Raghunathan
Brucek Khailany
MQ
40
1
0
07 Feb 2025
FASTNav: Fine-tuned Adaptive Small-language-models Trained for
  Multi-point Robot Navigation
FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation
Yuxuan Chen
Yixin Han
Xiao Li
64
1
0
20 Nov 2024
Inference Optimizations for Large Language Models: Effects, Challenges,
  and Practical Considerations
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations
Leo Donisch
Sigurd Schacht
Carsten Lanquillon
14
2
0
06 Aug 2024
Accurate and Efficient Fine-Tuning of Quantized Large Language Models
  Through Optimal Balance
Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance
Ao Shen
Qiang Wang
Zhiquan Lai
Xionglve Li
Dongsheng Li
ALM
MQ
19
0
0
24 Jul 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Lei Chen
Yuan Meng
Chen Tang
Xinzhu Ma
Jingyan Jiang
Xin Wang
Zhi Wang
Wenwu Zhu
MQ
23
21
0
25 Jun 2024
Large Language Model Pruning
Large Language Model Pruning
Hanjuan Huang
Hao-Jia Song
H. Pao
25
0
0
24 May 2024
A Comparative Analysis of Distributed Training Strategies for GPT-2
A Comparative Analysis of Distributed Training Strategies for GPT-2
Ishan Patwardhan
Shubham Gandhi
Om M. Khare
Amit Joshi
Suraj Sawant
20
1
0
24 May 2024
A Survey on Efficient Inference for Large Language Models
A Survey on Efficient Inference for Large Language Models
Zixuan Zhou
Xuefei Ning
Ke Hong
Tianyu Fu
Jiaming Xu
...
Shengen Yan
Guohao Dai
Xiao-Ping Zhang
Yuhan Dong
Yu-Xiang Wang
46
78
0
22 Apr 2024
Transformer-Lite: High-efficiency Deployment of Large Language Models on
  Mobile Phone GPUs
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Luchang Li
Sheng Qian
Jie Lu
Lunxi Yuan
Rui Wang
Qin Xie
39
9
0
29 Mar 2024
What Makes Quantization for Large Language Models Hard? An Empirical
  Study from the Lens of Perturbation
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation
Zhuocheng Gong
Jiahao Liu
Jingang Wang
Xunliang Cai
Dongyan Zhao
Rui Yan
MQ
17
8
0
11 Mar 2024
LLM Inference Unveiled: Survey and Roofline Model Insights
LLM Inference Unveiled: Survey and Roofline Model Insights
Zhihang Yuan
Yuzhang Shang
Yang Zhou
Zhen Dong
Zhe Zhou
...
Yong Jae Lee
Yan Yan
Beidi Chen
Guangyu Sun
Kurt Keutzer
37
77
0
26 Feb 2024
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for
  the Acceleration of Lightweight LLMs on the Edge
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge
Xuan Shen
Zhenglun Kong
Changdi Yang
Zhaoyang Han
Lei Lu
...
Zhihao Shu
Wei Niu
Miriam Leeser
Pu Zhao
Yanzhi Wang
MQ
46
17
0
16 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A
  Survey
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang
Wei Chen
Yicong Luo
Yongliu Long
Zhengkai Lin
Liye Zhang
Binbin Lin
Deng Cai
Xiaofei He
MQ
36
30
0
15 Feb 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan
Raghav Magazine
Shubham Kushwaha
M. Debbah
Deepak Gupta
11
18
0
02 Feb 2024
A Comprehensive Survey of Compression Algorithms for Language Models
A Comprehensive Survey of Compression Algorithms for Language Models
Seungcheol Park
Jaehyeon Choi
Sojin Lee
U. Kang
MQ
21
10
0
27 Jan 2024
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric
  Strategy for Diverse Generative Tasks
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Xiaoxia Wu
Haojun Xia
Stephen Youn
Zhen Zheng
Shiyang Chen
...
Reza Yazdani Aminabadi
Yuxiong He
Olatunji Ruwase
Leon Song
Zhewei Yao
63
8
0
14 Dec 2023
CBQ: Cross-Block Quantization for Large Language Models
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding
Xiaoyu Liu
Zhijun Tu
Yun-feng Zhang
Wei Li
...
Hanting Chen
Yehui Tang
Zhiwei Xiong
Baoqun Yin
Yunhe Wang
MQ
19
11
0
13 Dec 2023
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen
Peiyan Dong
Lei Lu
Zhenglun Kong
Zhengang Li
Ming Lin
Chao Wu
Yanzhi Wang
MQ
31
22
0
09 Dec 2023
A Speed Odyssey for Deployable Quantization of LLMs
A Speed Odyssey for Deployable Quantization of LLMs
Qingyuan Li
Ran Meng
Yiduo Li
Bo-Wen Zhang
Liang Li
Yifan Lu
Xiangxiang Chu
Yerui Sun
Yuchen Xie
MQ
54
7
0
16 Nov 2023
AFPQ: Asymmetric Floating Point Quantization for LLMs
AFPQ: Asymmetric Floating Point Quantization for LLMs
Yijia Zhang
Sicheng Zhang
Shijie Cao
Dayou Du
Jianyu Wei
Ting Cao
Ningyi Xu
MQ
17
5
0
03 Nov 2023
Efficient LLM Inference on CPUs
Efficient LLM Inference on CPUs
Haihao Shen
Hanwen Chang
Bo Dong
Yu Luo
Hengyu Meng
MQ
15
16
0
01 Nov 2023
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
Yilong Zhao
Chien-Yu Lin
Kan Zhu
Zihao Ye
Lequn Chen
Size Zheng
Luis Ceze
Arvind Krishnamurthy
Tianqi Chen
Baris Kasikci
MQ
23
130
0
29 Oct 2023
ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training
  Quantization Framework for W8A8 Transformers
ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers
Zhewei Yao
Reza Yazdani Aminabadi
Stephen Youn
Xiaoxia Wu
Elton Zheng
Yuxiong He
MQ
19
1
0
26 Oct 2023
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Elias Frantar
Dan Alistarh
MQ
MoE
12
24
0
25 Oct 2023
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large
  Language Models
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Jing Liu
Ruihao Gong
Xiuying Wei
Zhiwei Dong
Jianfei Cai
Bohan Zhuang
MQ
17
49
0
12 Oct 2023
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
Luoming Zhang
Wen Fei
Weijia Wu
Yefei He
Zhenyu Lou
Hong Zhou
MQ
11
5
0
07 Oct 2023
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Yuhui Xu
Lingxi Xie
Xiaotao Gu
Xin Chen
Heng Chang
Hengheng Zhang
Zhensu Chen
Xiaopeng Zhang
Qi Tian
MQ
13
87
0
26 Sep 2023
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot
  Compression
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression
Ayush Kaushal
Tejas Vaidhya
Irina Rish
39
14
0
25 Sep 2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
Qingyuan Li
Yifan Zhang
Liang Li
Peng Yao
Bo-Wen Zhang
Xiangxiang Chu
Yerui Sun
Li-Qiang Du
Yuchen Xie
MQ
26
11
0
30 Aug 2023
A Survey on Model Compression for Large Language Models
A Survey on Model Compression for Large Language Models
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
16
189
0
15 Aug 2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Zechun Liu
Barlas Oğuz
Changsheng Zhao
Ernie Chang
Pierre Stock
Yashar Mehdad
Yangyang Shi
Raghuraman Krishnamoorthi
Vikas Chandra
MQ
37
186
0
29 May 2023
FP8 Formats for Deep Learning
FP8 Formats for Deep Learning
Paulius Micikevicius
Dusan Stosic
N. Burgess
Marius Cornea
Pradeep Dubey
...
Naveen Mellempudi
S. Oberman
M. Shoeybi
Michael Siu
Hao Wu
BDL
VLM
MQ
67
119
0
12 Sep 2022
1