A compact model is a small machine learning model designed to run under limited compute, memory, storage, or power constraints. Such models are often used on mobile devices, embedded systems, browsers, and edge hardware.
Any small model designed to run on small devices with limited computational
resources. For example, compact models can run on mobile phones, tablets, or
embedded systems.