#modelarchitecture

Loop transformer blocks or add more layers? Reusing weights cuts training compute 6.8-18% at equal loss, but forward passes and KV cache never shrink.

For regulated work, fifty tuned expert models running under deterministic governance on your own hardware outperform one giant general model. Here is why Mickai is built that way.