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. 2402.05445
  4. Cited By
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

8 February 2024
Haotong Qin
Xudong Ma
Xingyu Zheng
Xiaoyang Li
Yang Zhang
Shouda Liu
Jie Luo
Xianglong Liu
Michele Magno
    MQ
ArXivPDFHTML

Papers citing "Accurate LoRA-Finetuning Quantization of LLMs via Information Retention"

12 / 12 papers shown
Title
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo
Yawei Li
Tao Dai
Shu-Tao Xia
Luca Benini
MQ
68
2
0
29 Oct 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing
Boyan Gao
Zheng Zhang
David A. Clifton
Shitao Xiao
Li Du
Guoqi Li
Jiajun Zhang
100
5
0
05 Jul 2024
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
Wei Huang
Haotong Qin
Yangdong Liu
Yawei Li
Qinshuo Liu
Xianglong Liu
Luca Benini
Michele Magno
Shiming Zhang
Xiaojuan Qi
MQ
110
19
0
23 May 2024
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
Wei Huang
Xingyu Zheng
Xudong Ma
Haotong Qin
Chengtao Lv
Hong Chen
Jie Luo
Xiaojuan Qi
Xianglong Liu
Michele Magno
MQ
89
42
0
22 Apr 2024
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language
  Models
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Wenqi Shao
Mengzhao Chen
Zhaoyang Zhang
Peng Xu
Lirui Zhao
Zhiqiang Li
Kaipeng Zhang
Peng Gao
Yu Qiao
Ping Luo
MQ
83
197
0
25 Aug 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
MQ
LRM
71
34
0
16 Jul 2023
AWQ: Activation-aware Weight Quantization for LLM Compression and
  Acceleration
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin
Jiaming Tang
Haotian Tang
Shang Yang
Wei-Ming Chen
Wei-Chen Wang
Guangxuan Xiao
Xingyu Dang
Chuang Gan
Song Han
EDL
MQ
93
554
0
01 Jun 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
97
103
0
23 May 2023
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers
M. Lewis
Younes Belkada
Luke Zettlemoyer
MQ
93
653
0
15 Aug 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
480
6,240
0
05 Apr 2022
8-bit Optimizers via Block-wise Quantization
8-bit Optimizers via Block-wise Quantization
Tim Dettmers
M. Lewis
Sam Shleifer
Luke Zettlemoyer
MQ
114
298
0
06 Oct 2021
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
224
1,527
0
24 May 2019
1