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. 2305.14152
  4. Cited By
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

23 May 2023
Jeonghoon Kim
J. H. Lee
Sungdong Kim
Joonsuk Park
Kang Min Yoo
S. Kwon
Dongsoo Lee
    MQ
ArXivPDFHTML

Papers citing "Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization"

14 / 14 papers shown
Title
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning
H. Fernando
Han Shen
Parikshit Ram
Yi Zhou
Horst Samulowitz
Nathalie Baracaldo
Tianyi Chen
CLL
50
2
0
20 Oct 2024
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
Jung Hyun Lee
Jeonghoon Kim
J. Yang
S. Kwon
Eunho Yang
Kang Min Yoo
Dongsoo Lee
MQ
33
2
0
16 Jul 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Naibin Gu
Peng Fu
Xiyu Liu
Bowen Shen
Zheng-Shen Lin
Weiping Wang
30
6
0
06 Jun 2024
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
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
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology
  Datasets with Foundational Embedding Models
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Aakash Tripathi
Asim Waqas
Yasin Yilmaz
Ghulam Rasool
29
5
0
13 May 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo
Baeseong Park
Byeongwook Kim
Minjung Jo
S. Kwon
Dongsuk Jeon
Dongsoo Lee
52
2
0
27 Feb 2024
Rethinking E-Commerce Search
Rethinking E-Commerce Search
Haixun Wang
Taesik Na
22
5
0
06 Dec 2023
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
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
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
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
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
253
1,584
0
21 Jan 2020
1