Model Quantization

AMD Quark Quantizer is a comprehensive cross-platform deep learning toolkit designed to simplify and enhance the quantization of deep learning models. Supporting both PyTorch and ONNX models, Quark empowers developers to optimize their models for deployment on a wide range of hardware backends, achieving significant performance gains without compromising accuracy.

For comprehensive Quark Documentation please refer to https://quark.docs.amd.com/latest/

Quark Tutorial for Ryzen AI Deployment:

Note

The Vitis AI Quantizer has been deprecated as of the Ryzen AI 1.3 release. AMD strongly recommends using the new AMD Quark Quantizer instead.

Legacy documentation for the deprecated Vitis AI Quantizer : Vitis AI Quantizer