This article discusses the use of new data formats, float16 and float8, in modern ONNX models. These formats offer a balance between performance and accuracy, making them attractive for machine learning tasks. The article also introduces functions for converting these formats to standard float and double formats and provides an example of using the ESRGAN ONNX model for image quality enhancement.