Thanks a lot @ptrblck for the queries.
You have one model architecture and you initialized two models using it.

Yes that is very true

These two model were trained on two different datasets and converged.

that is also correct

Now you would like to “combine” all parameters of both models and create a single one.

that is the idea, yes

Using this new single model you would now want to predict both datasets or just one of them?

I want it to predict both of them with reasonable accuracy

Do both datasets contain the same classes or are the targets completely different?

completely different (we are not sure but let me consider that case)

Thanks for queries I hope this can help you to give me some pointers.