🎉 Congrats to @XiaomiMiMo on MiMo-V2.6: day-0 support in vLLM for both sizes.
This is a AI post classified by Jev as Frontier models (a model release), kept by the AI Radar because it carries real work, not commentary.
🎉 Congrats to @XiaomiMiMo on MiMo-V2.6: day-0 support in vLLM for both sizes. Two MoEs with text, image, video and audio in one checkpoint: Pro is 1.02T total with 42B active, Flash is 309B with 15B active. 1M context, native FP8 weights. Built-in DFlash spec decoding drafts 7 tokens a step. Same architecture class as V2.5, and the serving pieces carry over: hybrid sliding-window plus global attention, the mimo reasoning and tool-call parsers, DFlash spec decoding. Thanks to the @XiaomiMiMo team for opening the weights and the RL stack! 🙌 🔗 https://recipes.vllm.ai/XiaomiMiMo/MiMo-V2.6-Pro-
Posted by vLLM (49.8k followers) 1 h ago · 68 likes · 3.4k views · view the original post on X. Kept by the AI Radar as Frontier models. Tools mentioned: openbmb/MiniCPM5-2B.
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