aiBACKGROUND
"inference falls back to dense attention" for MiniMax M3 - does it mean 428B wei
BACKGROUND
1 SIGNALFIRST DETECTED 12 June 2026
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How the story developed
12 Jun
"inference falls back to dense attention" for MiniMax M3 - does it mean 428B weights used at each step?
OPINION · WHAT · LocalLLaMA
Other feeds and industry voices
12 Apr
Minimax M2.7 its Dense or MoE ?
<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/MiniMaxAI/MiniMax-M2.7">https://huggingface.co/MiniMaxAI/MiniMax-M2.7</a></p> <p>Anyone know this model Dense or
OPINION · WHAT · LocalLLaMAOPEN STORY
26 Mar
Scaling Attention via Feature Sparsity
arXiv:2603.22300v1 Announce Type: cross Abstract: Scaling Transformers to ultra-long contexts is bottlenecked by the $O(n^2 d)$ cost of self-attention. Existing methods reduce
REPORT · WHERE · ArXiv CS.AIOPEN STORY
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