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Cache sharing is not possible. The numbers in the cache are completely specific to the model.


Currently. I'm sure that you could make a system where the cache values are a superset C of e.g. models A and B where C is probably bigger than max(A,B) but smaller than A+B


Reddit post so take with a grain of salt but this does seem possible. But unclear whether this is actually a viable architecture https://www.reddit.com/r/LocalLLaMA/comments/1t8s83r/nvidia_...


It's equal to A+B. There is literally no sharing possible.


Even when training both models together in a novel way?




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