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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
Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
Stanislas Laborde
Martin Cousseau
Antoun Yaacoub
Lionel Prevost
MQ
18
0
0
12 May 2025
Stability in Single-Peaked Strategic Resource Selection Games
Stability in Single-Peaked Strategic Resource Selection Games
Henri Zeiler
21
3
0
09 May 2025
GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
Min Chen
Jinglei Cheng
Pingzhi Li
Haoran Wang
Tianlong Chen
Junyu Liu
LRM
34
0
0
08 May 2025
Diffusion Model Quantization: A Review
Diffusion Model Quantization: A Review
Qian Zeng
Chenggong Hu
Mingli Song
Jie Song
MQ
41
0
0
08 May 2025
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
Ozan Gokdemir
Carlo Siebenschuh
Alexander Brace
Azton Wells
Brian Hsu
...
A. Anandkumar
Ian Foster
R. Stevens
V. Vishwanath
A. Ramanathan
VLM
30
0
0
07 May 2025
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance
Sofia Jamil
Aryan Dabad
Bollampalli Areen Reddy
S. Saha
Rajiv Misra
Adil A. Shakur
51
0
0
07 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun-Jie Luo
Yue Gao
MoE
32
1
0
05 May 2025
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
Sanjay Surendranath Girija
Shashank Kapoor
Lakshit Arora
Dipen Pradhan
Aman Raj
Ankit Shetgaonkar
47
0
0
05 May 2025
An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
Avanija Menon
Ovidiu Serban
19
0
0
05 May 2025
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices
Arnab Sanyal
Prithwish Mukherjee
Gourav Datta
Sandeep P. Chinchali
MQ
50
0
0
05 May 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
28
0
0
04 May 2025
Exploring the Role of Diversity in Example Selection for In-Context Learning
Exploring the Role of Diversity in Example Selection for In-Context Learning
Janak Kapuriya
Manit Kaushik
Debasis Ganguly
S. Bhatia
15
0
0
03 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang
Zhouhao Yang
Brian K Chen
Fanyi Pu
Bo-wen Li
Tianyu Gao
Kenji Kawaguchi
34
0
0
03 May 2025
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding
Siyang Jiang
Bufang Yang
Lilin Xu
Mu Yuan
Yeerzhati Abudunuer
...
Liekang Zeng
Hongkai Chen
Zhenyu Yan
Xiaofan Jiang
Guoliang Xing
VLM
51
0
0
03 May 2025
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth
Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth
Changhai Zhou
Yuhua Zhou
Qian Qiao
Weizhong Zhang
Cheng Jin
MQ
25
0
0
02 May 2025
ICQuant: Index Coding enables Low-bit LLM Quantization
ICQuant: Index Coding enables Low-bit LLM Quantization
Xinlin Li
Osama A. Hanna
Christina Fragouli
Suhas Diggavi
MQ
58
0
0
01 May 2025
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo
Chenghao Qiu
Maojiang Su
Zhihan Zhou
Zoe Mehta
Guo Ye
Jerry Yao-Chieh Hu
Han Liu
AAML
55
0
0
01 May 2025
Block Circulant Adapter for Large Language Models
Block Circulant Adapter for Large Language Models
Xinyu Ding
Meiqi Wang
Siyu Liao
Zhongfeng Wang
29
0
0
01 May 2025
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
Hadi Bayrami Asl Tekanlou
J. Razmara
Mahsa Sanaei
Mostafa Rahgouy
Hamed Babaei Giglou
32
0
0
30 Apr 2025
COSMOS: Predictable and Cost-Effective Adaptation of LLMs
COSMOS: Predictable and Cost-Effective Adaptation of LLMs
Jiayu Wang
Aws Albarghouthi
Frederic Sala
45
0
0
30 Apr 2025
Multimodal Large Language Models for Medicine: A Comprehensive Survey
Multimodal Large Language Models for Medicine: A Comprehensive Survey
Jiarui Ye
Hao Tang
LM&MA
81
0
0
29 Apr 2025
BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters
BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters
Baz Roland
Kristina Malyseva
Anna Pappa
Tristan Cazenave
59
0
0
29 Apr 2025
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Pradip Kunwar
Minh Vu
Maanak Gupta
Mahmoud Abdelsalam
Manish Bhattarai
MoE
MoMe
52
0
0
29 Apr 2025
AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury
AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury
David L. Gordon
P. Petousis
S. Nicholas
Alex A. T. Bui
FAtt
50
0
0
29 Apr 2025
Taming the Titans: A Survey of Efficient LLM Inference Serving
Taming the Titans: A Survey of Efficient LLM Inference Serving
Ranran Zhen
J. Li
Yixin Ji
Z. Yang
Tong Liu
Qingrong Xia
Xinyu Duan
Z. Wang
Baoxing Huai
M. Zhang
LLMAG
77
0
0
28 Apr 2025
Versatile Framework for Song Generation with Prompt-based Control
Versatile Framework for Song Generation with Prompt-based Control
Y. Zhang
Wenxiang Guo
Changhao Pan
Z. Zhu
Ruiqi Li
...
Rongjie Huang
Ruiyuan Zhang
Zhiqing Hong
Ziyue Jiang
Zhou Zhao
71
1
0
27 Apr 2025
Platonic Grounding for Efficient Multimodal Language Models
Platonic Grounding for Efficient Multimodal Language Models
Moulik Choraria
Xinbo Wu
Akhil Bhimaraju
Nitesh Sekhar
Yue Wu
Xu Zhang
Prateek Singhal
L. Varshney
54
0
0
27 Apr 2025
Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding
Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding
Kun Li
J. Wang
Yangfan He
Xinyuan Song
Ruoyu Wang
...
K. Li
Sida Li
Miao Zhang
Tianyu Shi
Xueqian Wang
40
0
0
25 Apr 2025
Pushing the boundary on Natural Language Inference
Pushing the boundary on Natural Language Inference
Pablo Miralles-González
Javier Huertas-Tato
Alejandro Martín
David Camacho
LRM
39
0
0
25 Apr 2025
Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions
Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions
James D. Finch
Yasasvi Josyula
Jinho D. Choi
38
0
0
25 Apr 2025
Synergizing RAG and Reasoning: A Systematic Review
Synergizing RAG and Reasoning: A Systematic Review
Yunfan Gao
Yun Xiong
Yijie Zhong
Yuxi Bi
Ming Xue
H. Wang
LRM
AI4CE
40
1
0
22 Apr 2025
LLM-Driven Usefulness Judgment for Web Search Evaluation
LLM-Driven Usefulness Judgment for Web Search Evaluation
Mouly Dewan
Jiqun Liu
Aditya Gautam
Chirag Shah
45
0
0
19 Apr 2025
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
Hang Zhang
Jiuchen Shi
Yixiao Wang
Quan Chen
Yizhou Shan
Minyi Guo
25
0
0
19 Apr 2025
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu
Mouxing Yang
Dezhong Peng
Peng Hu
Yijie Lin
Xi Peng
55
0
0
14 Apr 2025
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
Wenjin Ke
Zhe Li
D. Li
Lu Tian
E. Barsoum
MQ
29
1
0
12 Apr 2025
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
Chris Samarinas
Hamed Zamani
ALM
LRM
66
0
0
04 Apr 2025
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Nan Zhang
Yusen Zhang
Prasenjit Mitra
Rui Zhang
MQ
LRM
44
2
0
02 Apr 2025
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
Erfan Shayegani
G M Shahariar
Sara Abdali
Lei Yu
Nael B. Abu-Ghazaleh
Yue Dong
AAML
53
0
0
01 Apr 2025
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Irtaza Khalid
Amir Masoud Nourollah
Steven Schockaert
LRM
38
0
0
30 Mar 2025
Towards Symmetric Low-Rank Adapters
Towards Symmetric Low-Rank Adapters
Tales Panoutsos
Rodrygo L. T. Santos
Flavio Figueiredo
26
0
0
29 Mar 2025
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
Hung-Yueh Chiang
Chi-chih Chang
N. Frumkin
Kai-Chiang Wu
Mohamed S. Abdelfattah
Diana Marculescu
MQ
66
0
0
28 Mar 2025
Explainable ICD Coding via Entity Linking
Explainable ICD Coding via Entity Linking
Leonor Barreiros
I. Coutinho
Gonçalo M. Correia
Bruno Martins
55
0
0
26 Mar 2025
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses
Angela Lopez-Cardona
Sebastian Idesis
Miguel Barreda-Ángeles
Sergi Abadal
Ioannis Arapakis
46
0
0
13 Mar 2025
Validating LLM-as-a-Judge Systems in the Absence of Gold Labels
Luke M. Guerdan
Solon Barocas
Kenneth Holstein
Hanna M. Wallach
Zhiwei Steven Wu
Alexandra Chouldechova
ALM
ELM
126
0
0
13 Mar 2025
Leveraging Retrieval Augmented Generative LLMs For Automated Metadata Description Generation to Enhance Data Catalogs
Mayank Singh
Abhijeet Kumar
Sasidhar Donaparthi
Gayatri Karambelkar
40
0
0
12 Mar 2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Wenjie Qu
Yuguang Zhou
Yongji Wu
Tingsong Xiao
Binhang Yuan
Y. Li
Jiaheng Zhang
66
0
0
12 Mar 2025
MoFE: Mixture of Frozen Experts Architecture
Jean Seo
Jaeyoon Kim
Hyopil Shin
MoE
77
0
0
09 Mar 2025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan
Liqiang Niu
Fandong Meng
Jie Zhou
Jinsong Su
VLM
67
0
0
04 Mar 2025
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
33
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0
28 Feb 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework
S M Sarwar
AI4MH
39
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0
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