A user on Reddit's r/LocalLLaMA subreddit shared their experience running the MiMo-2.6-Pro model on a Jetson AGX Thor, achieving a speed of 0.646 tokens per second. The user highlighted the ability to trace and replay every step of the inference process with open-source models, contrasting this with closed-source models where internal workings are not visible. The model, which is approximately 566GB in FP8 format, was loaded from disk and processed through 128GB of memory, with the user humorously comparing the speed to "hand-extruded hotdog manufacturing." AI
IMPACT Highlights the trade-offs between open-source model transparency and performance on consumer-grade hardware.
RANK_REASON User-generated content discussing the performance and transparency of an open-source model on specific hardware.
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