MiMo-V2.6 is "simply" the best (for now). Despite its simple architecture design it's…
This is a AI post classified by Jev as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.
MiMo-V2.6 is "simply" the best (for now). Despite its simple architecture design it's currently No.1 in the open-weight benchmarks (weighted average). With "simple," I mean a classic Grouped Query Attention (GQA) with Sliding Window Attention (SWA) at a tiny 128-token window size. So, that underlines one of the points I've been trying to make in recent months: most of the progress still comes from the data and post-training recipe improvements. Fancy attention variants are just mostly efficiency tweaks. What are some of the training data improvements and recipe improvements? The MiMo team
Posted by Sebastian Raschka (510.3k followers) 1 h ago · 468 likes · 23.9k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: Intelligence Benchmarking.
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