Farmadupe2

Yes if parakeet would work then thats the answer and the code has already been written.

Otherwise the answer is really mechanical. It's will run as fast as you can get the weights into your cou's ALUs. since it's 30b-a4b, if you have 30G spare ram you can load the whole thing and it will run about as "fast" as any 4b model (qwen3.5-4b, gemma4 e4b etc).

Otherwise you will be streaming from disk/SSD which may or may not be very slow.

Almost all ML models come with reference python code that will run on most architectures.

If you want an implementation optimized for a certain architecture the cost is between 10-30USD of opus tokens and is oneshottable: ("implement Nvidia nemotron 3.5 transcribe for the intel npu on this machine. Use the hf transformers implementation as reference. The finished artifact takes pcm on stdin and utf8 chunks on stdout".)

You can substitute your old intel CPU by modifying the prompt by replacing "intel npu" with "the target cou on this machine ... Your task is complete when the model decode performance is 80% of the memory read speed of this machine"