I suppose you could simulate dementia by loading as much of the weights as space permits and then just stopping. Then during inference, replace the missing weig

I suppose you could simulate dementia by loading as much of the weights as space permits and then just stopping. Then during inference, replace the missing weights with calls to random(). I'd actually be interested in seeing the results.