8 papers
GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding
Jiale Chen, Torsten Hoefler, Dan Alistarh
The paper introduces GPTQ-2D, an algorithm that rounds a real matrix to integers under a two-sided quadratic metric in cubic time by processing entries anti-diagonal by anti-diagon…
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization
Jiale Chen, Vage Egiazarian, Roberto L. Castro +2
Quantizing LLM weights and activations is a standard approach for efficient deployment, but a few extreme outliers can stretch the dynamic range and amplify low-bit quantization er…
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
Jiale Chen, Yalda Shabanzadeh, Elvir CrnÄeviÄ +2
Quantizing the weights of large language models (LLMs) from 16-bit to lower bitwidth is the de facto approach to deploy massive transformers onto more affordable accelerators. Whil…
Quartet: Native FP4 Training Can Be Optimal for Large Language Models
Roberto L. Castro, Andrei Panferov, Soroush Tabesh +5
Training large language models (LLMs) models directly in low-precision offers a way to address computational costs by improving both throughput and energy efficiency. For those pur…
Scalable Multitemperature Free Energy Sampling of Classical Ising Spin States
Ping Tuo, Zezhu Zeng, Jiale Chen +1
Generative models have advanced significantly in sampling material systems with continuous variables, such as atomistic structures. However, their application to discrete variables…
Flow matching for reaction pathway generation
Ping Tuo, Jiale Chen, Ju Li
Elucidating reaction mechanisms hinges on efficiently generating transition states (TSs), products, and complete reaction networks. Recent generative models, such as diffusion mode…