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2407.03051
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Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
3 July 2024
Janghwan Lee
Seongmin Park
S. Hong
Minsoo Kim
Du-Seong Chang
Jungwook Choi
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Papers citing
"Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment"
3 / 3 papers shown
Title
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
Janghwan Lee
Jiwoong Park
Jinseok Kim
Yongjik Kim
Jungju Oh
Jinwook Oh
Jungwook Choi
44
2
0
15 Nov 2024
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
339
12,003
0
04 Mar 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
1,996
0
31 Dec 2020
1