That's a fair point - the trick with dynamic quants is we selectively choose not to quantize many components - ie attention is left at 4 or 6bit, just the MoE parts are 1.5bit (-1, 0, 1)

There are distilled versions like Qwen 1.5, 3, 14, 32, Llama 8, 70, but those are distilled - if you want to run the original R1, then the quants are currently the only way.

But I agree quants do affect perf - hence the trick for MoEs is to not quantize specific areas!

How are you doing your evals?

Being able to do semantic diffs of the output of the two models should tell you what you need to do.