most citedMulti-user Downlink Beamforming using Uplink Downlink Duality with 1-bit Converters for Flat Fading Channels

1 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2025

QuantX: A Framework for Hardware-Aware Quantization of Generative AI Workloads

Muhammad Ahmad, Khurram Mazher, Saqib Akram +2

We present QuantX: a tailored suite of recipes for LLM and VLM quantization. It is capable of quantizing down to 3-bit resolutions with minimal loss in performance. The quantizatio…