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QLoRA: Efficient Finetuning of Quantized LLMs

QLoRA: Efficient Finetuning of Quantized LLMs

23 May 2023
Tim Dettmers
Artidoro Pagnoni
Ari Holtzman
Luke Zettlemoyer
    ALM
ArXivPDFHTML

Papers citing "QLoRA: Efficient Finetuning of Quantized LLMs"

50 / 298 papers shown
Title
Pruning as a Domain-specific LLM Extractor
Pruning as a Domain-specific LLM Extractor
Nan Zhang
Yanchi Liu
Xujiang Zhao
Wei Cheng
Runxue Bao
Rui Zhang
Prasenjit Mitra
Haifeng Chen
14
9
0
10 May 2024
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Yujun Lin
Haotian Tang
Shang Yang
Zhekai Zhang
Guangxuan Xiao
Chuang Gan
Song Han
77
74
0
07 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
24
36
0
06 May 2024
Learning from Students: Applying t-Distributions to Explore Accurate and
  Efficient Formats for LLMs
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel
Yuzong Chen
Bahaa Kotb
Sushma Prasad
Gang Wu
Sheng R. Li
Mohamed S. Abdelfattah
Zhiru Zhang
24
7
0
06 May 2024
HFT: Half Fine-Tuning for Large Language Models
HFT: Half Fine-Tuning for Large Language Models
Tingfeng Hui
Zhenyu Zhang
Shuohuan Wang
Weiran Xu
Yu Sun
Hua-Hong Wu
CLL
37
4
0
29 Apr 2024
Building a Large Japanese Web Corpus for Large Language Models
Building a Large Japanese Web Corpus for Large Language Models
Naoaki Okazaki
Kakeru Hattori
Hirai Shota
Hiroki Iida
Masanari Ohi
Kazuki Fujii
Taishi Nakamura
Mengsay Loem
Rio Yokota
Sakae Mizuki
47
6
0
27 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
67
45
0
23 Apr 2024
A Survey on Self-Evolution of Large Language Models
A Survey on Self-Evolution of Large Language Models
Zhengwei Tao
Ting-En Lin
Xiancai Chen
Hangyu Li
Yuchuan Wu
Yongbin Li
Zhi Jin
Fei Huang
Dacheng Tao
Jingren Zhou
LRM
LM&Ro
49
21
0
22 Apr 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
54
38
0
22 Apr 2024
ColA: Collaborative Adaptation with Gradient Learning
ColA: Collaborative Adaptation with Gradient Learning
Enmao Diao
Qi Le
Suya Wu
Xinran Wang
Ali Anwar
Jie Ding
Vahid Tarokh
22
1
0
22 Apr 2024
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim
Hwanhee Lee
Joonsuk Park
Hwaran Lee
Kyomin Jung
27
1
0
18 Apr 2024
KG-CTG: Citation Generation through Knowledge Graph-guided Large
  Language Models
KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
Avinash Anand
Mohit Gupta
Kritarth Prasad
Ujjwal Goel
Naman Lal
Astha Verma
R. Shah
54
7
0
15 Apr 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Yang Lin
Xinyu Ma
Xu Chu
Yujie Jin
Zhibang Yang
Yasha Wang
Hong-yan Mei
42
18
0
15 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
30
7
0
13 Apr 2024
SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
Paul Röttger
Fabio Pernisi
Bertie Vidgen
Dirk Hovy
ELM
KELM
53
30
0
08 Apr 2024
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for
  Cardiac Patients
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients
Hyoje Jung
Yunha Kim
Heejung Choi
Hyeram Seo
Minkyoung Kim
...
Soyoung Ko
Byeolhee Kim
Suyeon Kim
Tae Joon Jun
Young-Hak Kim
35
14
0
08 Apr 2024
Automating Research Synthesis with Domain-Specific Large Language Model
  Fine-Tuning
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak
Peter Hwang
N. Reyes
A. Barczak
Timothy R. McIntosh
Surangika Ranathunga
55
22
0
08 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Shenghai Yuan
Jinfa Huang
Yujun Shi
Yongqi Xu
Ruijie Zhu
Bin Lin
Xinhua Cheng
Li-xin Yuan
Jiebo Luo
VGen
73
33
0
07 Apr 2024
Self-Training Large Language Models for Improved Visual Program
  Synthesis With Visual Reinforcement
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Zaid Khan
B. Vijaykumar
S. Schulter
Yun Fu
Manmohan Chandraker
LRM
ReLM
23
6
0
06 Apr 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
38
6
0
05 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
59
67
0
03 Apr 2024
Token-Efficient Leverage Learning in Large Language Models
Token-Efficient Leverage Learning in Large Language Models
Yuanhao Zeng
Min Wang
Yihang Wang
Yingxia Shao
29
0
0
01 Apr 2024
Dialectical Alignment: Resolving the Tension of 3H and Security Threats
  of LLMs
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs
Shu Yang
Jiayuan Su
Han Jiang
Mengdi Li
Keyuan Cheng
Muhammad Asif Ali
Lijie Hu
Di Wang
16
5
0
30 Mar 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
Are LLMs Good Cryptic Crossword Solvers?
Are LLMs Good Cryptic Crossword Solvers?
Abdelrahman Boda
Daria Kotova
Ekaterina Kochmar
16
3
0
15 Mar 2024
On the Essence and Prospect: An Investigation of Alignment Approaches
  for Big Models
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
Xinpeng Wang
Shitong Duan
Xiaoyuan Yi
Jing Yao
Shanlin Zhou
Zhihua Wei
Peng Zhang
Dongkuan Xu
Maosong Sun
Xing Xie
OffRL
33
16
0
07 Mar 2024
Preference optimization of protein language models as a multi-objective
  binder design paradigm
Preference optimization of protein language models as a multi-objective binder design paradigm
Pouria A. Mistani
Venkatesh Mysore
22
6
0
07 Mar 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao
Zhenyu (Allen) Zhang
Beidi Chen
Zhangyang Wang
A. Anandkumar
Yuandong Tian
36
173
0
06 Mar 2024
Socratic Reasoning Improves Positive Text Rewriting
Socratic Reasoning Improves Positive Text Rewriting
Anmol Goel
Nico Daheim
Iryna Gurevych
Iryna Gurevych
LRM
36
4
0
05 Mar 2024
Improving Socratic Question Generation using Data Augmentation and
  Preference Optimization
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
Nischal Ashok Kumar
Andrew S. Lan
24
8
0
01 Mar 2024
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
F. Breitinger
Mark Scanlon
42
7
0
29 Feb 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Xupeng Miao
Gabriele Oliaro
Xinhao Cheng
Vineeth Kada
Ruohan Gao
...
April Yang
Yingcheng Wang
Mengdi Wu
Colin Unger
Zhihao Jia
MoE
88
9
0
29 Feb 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
57
2
0
27 Feb 2024
GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning
GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning
Han Zou
Qiyang Zhao
Lina Bariah
Yu Tian
M. Bennis
S. Lasaulce
91
12
0
26 Feb 2024
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
29
11
0
22 Feb 2024
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
Kundan Krishna
S. Ramprasad
Prakhar Gupta
Byron C. Wallace
Zachary Chase Lipton
Jeffrey P. Bigham
HILM
KELM
SyDa
47
9
0
19 Feb 2024
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Arian Askari
Roxana Petcu
Chuan Meng
Mohammad Aliannejadi
Amin Abolghasemi
Evangelos Kanoulas
Suzan Verberne
21
8
0
18 Feb 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
47
36
0
14 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomáš Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
115
353
0
09 Feb 2024
Institutional Platform for Secure Self-Service Large Language Model Exploration
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
44
1
0
01 Feb 2024
Looking Right is Sometimes Right: Investigating the Capabilities of
  Decoder-only LLMs for Sequence Labeling
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
David Dukić
Jan Šnajder
24
11
0
25 Jan 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple
  Decoding Heads
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai
Yuhong Li
Zhengyang Geng
Hongwu Peng
Jason D. Lee
De-huai Chen
Tri Dao
29
243
0
19 Jan 2024
Can AI Write Classical Chinese Poetry like Humans? An Empirical Study
  Inspired by Turing Test
Can AI Write Classical Chinese Poetry like Humans? An Empirical Study Inspired by Turing Test
Zekun Deng
Haoxia Yang
Jun Wang
14
2
0
10 Jan 2024
Evaluating Language Model Agency through Negotiations
Evaluating Language Model Agency through Negotiations
Tim R. Davidson
V. Veselovsky
Martin Josifoski
Maxime Peyrard
Antoine Bosselut
Michal Kosinski
Robert West
LLMAG
24
21
0
09 Jan 2024
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
Zhongshen Zeng
Pengguang Chen
Shu Liu
Haiyun Jiang
Jiaya Jia
ReLM
ELM
LRM
27
18
0
28 Dec 2023
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song
Z. Li
Lefei Zhang
Hai Zhao
Bo Du
VLM
11
6
0
19 Dec 2023
Mixed Distillation Helps Smaller Language Model Better Reasoning
Mixed Distillation Helps Smaller Language Model Better Reasoning
Chenglin Li
Qianglong Chen
Liangyue Li
Wang Caiyu
Yicheng Li
Zhang Yin
Yin Zhang
LRM
21
11
0
17 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
22
11
0
13 Dec 2023
Dynamic Corrective Self-Distillation for Better Fine-Tuning of
  Pretrained Models
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models
Ibtihel Amara
Vinija Jain
Aman Chadha
20
0
0
12 Dec 2023
DYAD: A Descriptive Yet Abjuring Density efficient approximation to
  linear neural network layers
DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers
S. Chandy
Varun Gangal
Yi Yang
Gabriel Maggiotti
25
0
0
11 Dec 2023
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