The case for 4-bit precision: k-bit Inference Scaling Laws

19 December 2022

Tim Dettmers

Luke Zettlemoyer

Papers citing "The case for 4-bit precision: k-bit Inference Scaling Laws"

38 / 38 papers shown

Title
Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Tollef Emil Jørgensen MQ 39 0 0 13 May 2025
Stability in Single-Peaked Strategic Resource Selection Games Henri Zeiler 21 0 0 09 May 2025
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities Kalyan Nakka Jimmy Dani Ausmit Mondal Nitesh Saxena AAML 25 0 0 08 May 2025
Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Wataru Kawakami Keita Suzuki Junichiro Iwasawa LRM 65 0 0 25 Apr 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models Zhichao Xu Aosong Feng Yijun Tian Haibo Ding Lin Leee Cheong RALM 40 0 0 15 Apr 2025
A Survey of Model Architectures in Information Retrieval Zhichao Xu Fengran Mo Zhiqi Huang Crystina Zhang Puxuan Yu Bei Wang Jimmy J. Lin Vivek Srikumar KELM 3DV 48 2 0 21 Feb 2025
FedSpaLLM: Federated Pruning of Large Language Models Guangji Bai Yijiang Li Zilinghan Li Liang Zhao Kibaek Kim FedML 60 4 0 20 Feb 2025
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models Tom Wallace Naser Ezzati-Jivan Beatrice Ombuki-Berman MQ 33 1 0 16 Jan 2025
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms Yilong Li Jingyu Liu Hao Zhang M Badri Narayanan Utkarsh Sharma Shuai Zhang Pan Hu Yijing Zeng Jayaram Raghuram Suman Banerjee MQ 39 2 0 10 Jan 2025
iServe: An Intent-based Serving System for LLMs Dimitrios Liakopoulos Tianrui Hu Prasoon Sinha N. Yadwadkar VLM 92 0 0 08 Jan 2025
Scaling Laws for Floating Point Quantization Training X. Sun Shuaipeng Li Ruobing Xie Weidong Han Kan Wu ... Yangyu Tao Zhanhui Kang C. Xu Di Wang Jie Jiang MQ AIFin 53 0 0 05 Jan 2025
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Siyuan Wang Dianyi Wang Chengxing Zhou Zejun Li Zhihao Fan Xuanjing Huang Zhongyu Wei VLM 120 0 0 17 Dec 2024
DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs Yingsong Luo Ling Chen MQ 18 0 0 16 Oct 2024
Scaling laws for post-training quantized large language models Zifei Xu Alexander Lan W. Yazar T. Webb Sayeh Sharify Xin Eric Wang MQ 26 0 0 15 Oct 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 40 0 0 22 Jul 2024
How Does Quantization Affect Multilingual LLMs? Kelly Marchisio Saurabh Dash Hongyu Chen Dennis Aumiller A. Ustun Sara Hooker Sebastian Ruder MQ 44 6 0 03 Jul 2024
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge Jianyu Wei Shijie Cao Ting Cao Lingxiao Ma Lei Wang Yanyong Zhang Mao Yang MQ 45 11 0 25 Jun 2024
Evaluating Zero-Shot Long-Context LLM Compression Chenyu Wang Yihan Wang Kai Li 49 0 0 10 Jun 2024
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models Kalyan Nakka Jimmy Dani Nitesh Saxena 43 1 0 08 Jun 2024
On Bits and Bandits: Quantifying the Regret-Information Trade-off Itai Shufaro Nadav Merlis Nir Weinberger Shie Mannor 26 0 0 26 May 2024
The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov Kushal Tirumala Hassan Shapourian Paolo Glorioso Daniel A. Roberts 41 79 0 26 Mar 2024
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue Xing Han Lù Zdeněk Kasner Siva Reddy 22 59 0 08 Feb 2024
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs Yu-xin Zhang Lirui Zhao Mingbao Lin Yunyun Sun Yiwu Yao Xingjia Han Jared Tanner Shiwei Liu Rongrong Ji SyDa 29 40 0 13 Oct 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 24 15 0 28 Sep 2023
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models Jung Hwan Heo Jeonghoon Kim Beomseok Kwon Byeongwook Kim Se Jung Kwon Dongsoo Lee MQ 38 9 0 27 Sep 2023
A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 50 353 0 20 Jun 2023
Better Question-Answering Models on a Budget Yudhanjaya Wijeratne Ishan Marikar ALM 18 0 0 24 Apr 2023
FP8 versus INT8 for efficient deep learning inference M. V. Baalen Andrey Kuzmin Suparna S. Nair Yuwei Ren E. Mahurin ... Sundar Subramanian Sanghyuk Lee Markus Nagel Joseph B. Soriaga Tijmen Blankevoort MQ 18 44 0 31 Mar 2023
With Shared Microexponents, A Little Shifting Goes a Long Way Bita Darvish Rouhani Ritchie Zhao V. Elango Rasoul Shafipour Mathew Hall ... Eric S. Chung Zhaoxia Deng S. Naghshineh Jongsoo Park Maxim Naumov MQ 31 36 0 16 Feb 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 21 14 0 09 Feb 2023
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 14 47 0 27 Nov 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 19 74 0 26 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 242 1,071 0 05 Oct 2022
FP8 Formats for Deep Learning Paulius Micikevicius Dusan Stosic N. Burgess Marius Cornea Pradeep Dubey ... Naveen Mellempudi S. Oberman M. Shoeybi Michael Siu Hao Wu BDL VLM MQ 67 121 0 12 Sep 2022
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency Giovanni Puccetti Anna Rogers Aleksandr Drozd F. Dell’Orletta 71 42 0 23 May 2022
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey Marten van Schijndel 213 110 0 09 Sep 2021
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 245 1,986 0 31 Dec 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 226 4,424 0 23 Jan 2020