Yes, sorry I’m dealing with groups of parameters 
I’m trying to store train, test, test2 (extrapolation), so they’re not really models, more like groups of Tensors for each dataset (mostly X,y, some variations of X,y and statistics about them). They should have the same size and types except that train has 10,726 elements and test&extrapolation have 2,048 elements each.
Both test&extrapolation return 73 million parameters,  but extrapolation file is 71MB and test is 417MB (sorry, I now see I put ‘M’ not ‘MB’ on the original post). Train has 384 million parameters and its file is 433MB.
The last loops are indeed printing the shape of each parameter in the data, since they all have parameters named the same it shows that test&extrapolation have the same size for all parameters and train has some parameters bigger on the first dimension (which makes sense).
Basically, the only thing that doesn’t make sense to me is the comparative size of the test file, as I would expect it to be the same as the extrapolation given that all the internal types and sizes are the same.
Thanks for your help,