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Recording the settings only helps if every number returns to the right place.
A saved parameter is just a number. On its own it means nothing. The value 0.62 is only useful if it lands back on the exact connection it was trained for.
The file contains many such numbers, usually grouped by names and shapes. Software will normally refuse to load them into an incompatible architecture. If values are forced into the wrong roles, the model will not behave as the trained model did.
The structure supplies the places. The parameters fill them.
A working model needs both.