As long as the random variables are continues, NUTS will work fine, including those cases you have a function in the model that maps the variables to discrete space (well, HMC/NUTS still works but for those dimension the gradient is likely missing so it will be some kind of random walk).
So no deterministic wont preclude use of HMC/NUTS.
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