{"library":"amd-quark","type":"library","category":null,"description":"AMD Quark is a comprehensive cross-platform toolkit for quantizing deep learning models, supporting PyTorch and ONNX. It enables model optimization for various hardware backends with minimal accuracy loss. Current version: 0.11.2. Release cadence is irregular.","language":"python","status":"active","version":"0.11.2","tags":["quantization","pytorch","onnx","amd","deep-learning"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install amd-quark","imports":["from quark.quantization import quantize","from quark.quantization.calibration import CalibrationMethod"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}