This post discusses the concept of quantization and its significance in machine learning models. It introduces BitNet, a model trained from scratch with quantization. The post also explains the quantization algorithm used in BitNet and presents the results of experiments conducted with a custom PyTorch implementation.
Table of contents
Binary Magic: Building BitNet 1.58bit Using PyTorch from ScratchSpoiler Alert :What is Quantization and Why you need it?Existing Quantization Approaches Vs BitNet 1.58bitBitNet’s Quantization AlgorithmQuantization Function Implementation in PytorchExperiment Results With Custom Pytorch ImplementationSort: