question about having large weights after training

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I changed the MAX_DISP in the yaml file from 192 to 256 before training, and the weights after training is 475 MB. We tried training with a maximum disparity of 192, with a weights of 294 megabytes. The pre-trained model you provide is obviously much smaller. Is there a way to compress the model?

By the way, what is the method of continuing training after the training is interrupted?