Xiaomi just released the weights for MiMo-V2.6 Pro and Flash! These are the models they…
This is a dev post classified by Jev as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
Xiaomi just released the weights for MiMo-V2.6 Pro and Flash! These are the models they live streamed the RL training last week. SGLang is proud to power the rollout inference behind their agent-centric RL training. We’re also adding day-0 inference support! MiMo-V2.6 is built for agentic workloads, with native multimodality and 1M context. SGLang makes it fast and efficient to run at scale: → Unified Radix Tree improves KV reuse for MiMo’s hybrid SWA + global-attention arch to drive higher cache hit rate and lower TTFT → HiCache + session-aware caching improve KV reuse across long-running
Posted by SGLang (9.4k followers) 11 h ago · 56 likes · 5.1k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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