There is no reason to run models for inference at static fp16, modern quantisation formats dynamically assign precision to the layers that need them, an average of 6bpw is practical imperceptible from full precision, 8bpw if you really want to squeeze every tiny last drop out of it (although it's unlikely it will be detectable). That is a huge memory saving.