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BitDelta: Your Fine-Tune May Only Be Worth One Bit

BitDelta: Your Fine-Tune May Only Be Worth One Bit

15 February 2024
James Liu
Guangxuan Xiao
Kai Li
Jason D. Lee
Song Han
Tri Dao
Tianle Cai
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Papers citing "BitDelta: Your Fine-Tune May Only Be Worth One Bit"

5 / 5 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
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale
  Models
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
Qiaoyu Tang
Le Yu
Bowen Yu
Hongyu Lin
K. Lu
Y. Lu
Xianpei Han
Le Sun
MoMe
32
1
0
17 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng
Yize Zhao
V. Vakilian
Minghui Chen
Xiaoxiao Li
Christos Thrampoulidis
35
3
0
12 Oct 2024
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
303
11,730
0
04 Mar 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
242
690
0
27 Aug 2021
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