GitHub

Quantization Examples in PyTorch

Note: all results are measured with the torch JIT model on a single CPU core. Environment: Win10 22H2, Intel Core i5-10210U @ 1.60GHz 2.11GHz, 16GB RAM. Please refer to the provided script ...
GitHub

smoothquant_ddp_example.py

needed). GPTQModifier then applies distributed W8A8 quantization.
IEEE

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering

Abstract: TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant ...
InfoWorld

What is model quantization? Smaller, faster LLMs

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
IEEE

Linearized Analysis and Quantization Error Minimization for Mid-Rise TDCs: A Tutorial

Abstract: The mid-rise time-to-digital converter (TDC), e.g., a binary (bang-bang) phase detector and other few-bit TDCs, is commonly used as the phase detector (PD) in a digital phase locked loop ...