CHAI: Clustered Head Attention for Efficient LLM Inference

CHAI: Clustered Head Attention for Efficient LLM Inference

12 March 2024

Saurabh Agarwal

Mostafa Elhoushi

Shivaram Venkataraman

Dimitris Papailiopoulos

Papers citing "CHAI: Clustered Head Attention for Efficient LLM Inference"

6 / 6 papers shown

Title
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 56 21 0 04 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 220 502 0 03 May 2023
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 105 341 0 05 Jan 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 156 345 0 23 Jul 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 233 576 0 12 Sep 2019