Dario: “With open source you can see the source code. Here we can’t see inside the model.” My 0.646 t/s MiMo-2.6-Pro crammed thru 128GB of Jetson AGX Thor: “Yeah, well, that’s just, like, your opinion, man.”

Reddit r/LocalLLaMA News

Summary

A tinkerer jokingly rebuts Dario Amodei's critique of open-weight models by running MiMo-2.6-Pro (FP8, ~566GB) on a Jetson AGX Thor with 128GB memory at 0.646 tokens/sec — painfully slow, but fully traced and replayable step by step.

Tracked my first run of MiMo Pro on a Jetson AGX Thor at a scorching 0.646 tokens/sec,.. but it DID technically load and run, so it counts. Every decoder layer, routed expert, SSD read (..a good bit more) traced and replayable step by step. Here we can't what-now?.. it's ~566GB of model (FP8), at the blinding speed and architecture of hand-extruded hotdog manufacturing, read from disk mid-inference, painfully shat through 128GB of memory. I think it's fine but decided to maybe take a closer look to see if I could maybe reach factory hotdog manufacturing speeds. like, a small, local hotdog factory.. I mean as long as Dario's cool with it.. that case of the MiMos he got might last through Halloween. ..poor lil bugger, get well soon Dario!
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Reddit r/LocalLLaMA

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