Quantization — PyTorch 2.8 documentationQuantization# Created On: Oct 09, 2019 | Last Updated On: Jun 17, 2025 Introduction to Quantization# Quantization refers to techniques for performing computations and storing tensors at lower bitwidths than floating point precision. A quantized model executes some or all of the operations on tensors with reduced precision rather than full precision (floating point) values. This allows for a more c
Introduction to Quantization on PyTorch – PyTorch
