Why does it matter ? Model size is a key metric to drive optimizations such as : Training system design : Choosing specific sgd optimizer, network bandwidth, hardware (memory and processing). Inference system design : Model file storage optimizations, quantization, model splits for serving. How do we measure it ? While describing model size (in memory units such as GB), we…