Nvidia GPUs can natively operate in FP8, FP6, FP4, etc so naturally they have reduced memory requirements when running quantized.

As for CPUs, Intel can only go down to FP16, so you’ll be doing some “unpacking”. But hopefully that is “on the fly” and not when you load the model into memory?