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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 / 392 papers shown
Title
Sequential LLM Framework for Fashion Recommendation
Sequential LLM Framework for Fashion Recommendation
Han Liu
Xianfeng Tang
Tianlang Chen
Jiapeng Liu
Indu Indu
...
Roberto Fernandez Galan
Michael D Porter
Dongmei Jia
Ning Zhang
Lian Xiong
AI4TS
35
1
0
15 Oct 2024
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park
Chanwoong Yoon
Jungwoo Park
Donghyeon Lee
Minbyul Jeong
Jaewoo Kang
KELM
61
1
0
13 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
149
1
0
11 Oct 2024
Disease Entity Recognition and Normalization is Improved with Large
  Language Model Derived Synthetic Normalized Mentions
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions
Kuleen Sasse
Shinjitha Vadlakonda
Richard Kennedy
J. D. Osborne
AI4CE
31
0
0
10 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Zhipeng Chen
Liang Song
K. Zhou
Wayne Xin Zhao
Binghui Wang
Weipeng Chen
Ji-Rong Wen
68
0
0
10 Oct 2024
Q-VLM: Post-training Quantization for Large Vision-Language Models
Q-VLM: Post-training Quantization for Large Vision-Language Models
Changyuan Wang
Ziwei Wang
Xiuwei Xu
Yansong Tang
Jie Zhou
Jiwen Lu
MQ
32
1
0
10 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Yuxin Xiao
Shujian Zhang
Wenxuan Zhou
Marzyeh Ghassemi
Sanqiang Zhao
124
0
0
07 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
73
6
0
06 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie
Charilaos I. Kanatsoulis
Arnuv Tandon
Alejandro Ribeiro
36
0
0
05 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li
Xinyu Yan
Tianao Zhang
Haotong Qin
Dong Xie
Jiang Tian
Zhongchao Shi
Linghe Kong
Yulun Zhang
Xiaokang Yang
MQ
34
2
0
04 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao
Zhengyuan Yang
Kevin Lin
Ze Wang
Zicheng Liu
Lijuan Wang
Qiang Qiu
48
3
0
04 Oct 2024
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning
  Large Language Models
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
Zefang Liu
Yinzhu Quan
32
0
0
02 Oct 2024
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Angela Lopez-Cardona
Carlos Segura
Alexandros Karatzoglou
Sergi Abadal
Ioannis Arapakis
ALM
56
2
0
02 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter
  Merging
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Yiming Ju
Ziyi Ni
Xingrun Xing
Zhixiong Zeng
hanyu Zhao
Siqi Fan
Zheng Zhang
MoMe
39
2
0
01 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
163
2
0
25 Sep 2024
EventHallusion: Diagnosing Event Hallucinations in Video LLMs
EventHallusion: Diagnosing Event Hallucinations in Video LLMs
Jiacheng Zhang
Yang Jiao
Shaoxiang Chen
Jingjing Chen
Zhiyu Tan
Hao Li
Jingjing Chen
MLLM
61
18
0
25 Sep 2024
CAD: Memory Efficient Convolutional Adapter for Segment Anything
CAD: Memory Efficient Convolutional Adapter for Segment Anything
Joohyeok Kim
Joonhyeon Song
Seohwan Yun
Seongho Yoon
Sangmin Lee
31
1
0
24 Sep 2024
PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Jiahao Yu
Yangguang Shao
Hanwen Miao
Junzheng Shi
SILM
AAML
71
4
0
23 Sep 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image
  Morphing and Flow Estimation
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation
Mingze Sun
Chen Guo
Puhua Jiang
Shiwei Mao
Yurun Chen
Ruqi Huang
58
4
0
18 Sep 2024
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
Haoran Ye
Yuhang Xie
Yuanyi Ren
Hanjun Fang
Xin Zhang
Guojie Song
LM&MA
37
1
0
18 Sep 2024
Prompt Obfuscation for Large Language Models
Prompt Obfuscation for Large Language Models
David Pape
Thorsten Eisenhofer
Thorsten Eisenhofer
Lea Schönherr
AAML
38
2
0
17 Sep 2024
Leveraging Open-Source Large Language Models for Native Language Identification
Leveraging Open-Source Large Language Models for Native Language Identification
Yee Man Ng
Ilia Markov
35
1
0
15 Sep 2024
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
Atilla Akkus
Mingjie Li
Junjie Chu
Junjie Chu
Michael Backes
Sinem Sav
Sinem Sav
SILM
SyDa
48
1
0
12 Sep 2024
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
Yiheng Wu
Roman Yangarber
Xian Mao
33
0
0
07 Sep 2024
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models
Dipankar Srirag
Aditya Joshi
Jacob Eisenstein
46
1
0
31 Aug 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language
  Models for Privacy Leakage
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md. Rafi Ur Rashid
Jing Liu
T. Koike-Akino
Shagufta Mehnaz
Ye Wang
MU
SILM
43
3
0
30 Aug 2024
An Investigation of Warning Erroneous Chat Translations in Cross-lingual
  Communication
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Yunmeng Li
Jun Suzuki
Makoto Morishita
Kaori Abe
Kentaro Inui
65
1
0
28 Aug 2024
Personality Alignment of Large Language Models
Personality Alignment of Large Language Models
Minjun Zhu
Linyi Yang
Yue Zhang
Yue Zhang
ALM
67
5
0
21 Aug 2024
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Jiancheng Dong
Lei Jiang
Wei Jin
Lu Cheng
44
1
0
18 Aug 2024
Enhancing Large Language Model-based Speech Recognition by
  Contextualization for Rare and Ambiguous Words
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words
Kento Nozawa
Takashi Masuko
Toru Taniguchi
43
1
0
15 Aug 2024
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
Xuanyu Su
Yansong Li
Diana Inkpen
Nathalie Japkowicz
VLM
83
2
0
11 Aug 2024
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference
  Serving at Scale
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
Jaehong Cho
Minsu Kim
Hyunmin Choi
Guseul Heo
Jongse Park
38
9
0
10 Aug 2024
Learning to Rewrite: Generalized LLM-Generated Text Detection
Learning to Rewrite: Generalized LLM-Generated Text Detection
Wei Hao
Ran Li
Weiliang Zhao
Junfeng Yang
Chengzhi Mao
DeLMO
56
3
0
08 Aug 2024
Conditioning LLMs with Emotion in Neural Machine Translation
Conditioning LLMs with Emotion in Neural Machine Translation
Charles Brazier
Jean-Luc Rouas
CVBM
41
2
0
06 Aug 2024
Examining Gender and Power on Wikipedia Through Face and Politeness
Examining Gender and Power on Wikipedia Through Face and Politeness
Adil Soubki
Shyne Choi
Owen Rambow
CVBM
33
0
0
05 Aug 2024
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Haolin Jin
Linghan Huang
Haipeng Cai
Jun Yan
Bo Li
Huaming Chen
78
27
0
05 Aug 2024
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian
  Rebuses
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses
Gabriele Sarti
Tommaso Caselli
Malvina Nissim
Arianna Bisazza
ReLM
LRM
31
1
0
01 Aug 2024
ThinK: Thinner Key Cache by Query-Driven Pruning
ThinK: Thinner Key Cache by Query-Driven Pruning
Yuhui Xu
Zhanming Jie
Hanze Dong
Lei Wang
Xudong Lu
Aojun Zhou
Amrita Saha
Caiming Xiong
Doyen Sahoo
75
14
0
30 Jul 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Claudio Angione
Yue Zhao
Harry Yang
Ahmad Farhan
Fielding Johnston
James Buban
Patrick Colangelo
42
1
0
29 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo
Dongha Lee
Jinyoung Yeo
CLL
KELM
90
1
0
24 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Yifei Gao
Jie Ou
Lei Wang
Fanhua Shang
Jaji Wu
MQ
49
0
0
22 Jul 2024
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text
  Generation: A State-of-the-Art Investigation
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation
Joy Mahapatra
Utpal Garain
39
9
0
19 Jul 2024
Weighted Grouped Query Attention in Transformers
Weighted Grouped Query Attention in Transformers
Sai Sena Chinnakonduru
Astarag Mohapatra
42
5
0
15 Jul 2024
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for
  Improved Quality and Efficiency in RAG Systems
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems
Yunxiao Shi
Xing Zi
Zijing Shi
Haimin Zhang
Qiang Wu
Min Xu
39
7
0
15 Jul 2024
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
Yonghong Tian
Wenqi Shao
Peng Xu
Jiahao Wang
Peng Gao
Kaipeng Zhang
Ping Luo
MQ
46
24
0
10 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
42
43
0
09 Jul 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM
  Compression
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
Zhichao Xu
Ashim Gupta
Tao Li
Oliver Bentham
Vivek Srikumar
52
8
0
06 Jul 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning
  Models
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Heng Lu
Mehdi Alemi
Reza Rawassizadeh
39
1
0
05 Jul 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
55
5
0
05 Jul 2024
Query-Guided Self-Supervised Summarization of Nursing Notes
Query-Guided Self-Supervised Summarization of Nursing Notes
Ya Gao
H. Moen
S. Koivusalo
M. Koskinen
Pekka Marttinen
44
1
0
04 Jul 2024
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