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Or maybe models that are much more task-focused? Like models that are trained on just math & coding?

isn't that what the mixture of experts trick that all the big players do is? Bunch of smaller, tightly focused models

Not exactly. MoE uses a router model to select a subset of layers per token. This makes them faster but still requires the same amount of RAM.