I run whisper large-v3 on an m2 max 96gb and even with just inference the memory gets tight on longer audio, can only imagine what fine-tuning looks like. Does the 64gb vs 96gb make a meaningful difference for gemma 4 fine-tuning or does it just push the oom wall back a bit? Been wanting to try local fine-tuning on apple silicon but the tooling gap has kept me on inference only so far.
re: Whisper v3 -- how is this possible? Whisper has a 30s context window. You have to chunk it.
Yeah sorry that was unclear on my part. I chunk at the endpoint level, whisper itself obviously processes 30s windows. The memory/latency thing I was referring to is more about processing longer files end to end through the pipeline, not a single whisper pass. My fastapi wrapper just splits the audio and runs chunks sequentially so total wall time scales linearly with file length, nothing fancy.