No. I fill my server memory with:

with torch and torchvision and other libraries
and 108MB of trained model

For example I see that transform a tensorflow model using tensorflow-lite the size in MB of the model can be reduced a lot. I was wondering for something like that using pytorch. If exist some other way may be it is less slow.