Introducing MiniMax-M1: The World's First Open-Weight Hybrid-Attention Reasoning Model
By
danboarder
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Summary
Introducing MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model powered by a hybrid Mixture-of-Experts architecture and lightning attention mechanism. Developed based on the MiniMax-Text-01 model, it contains 456 billion parameters with 45.9 billion parameters activated per token.
Key quotes
· 3 pulledMiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combined with a lightning attention mechanism.
The model is developed based on our previous MiniMax-Text-01 model, which contains a total of 456 billion parameters with 45.9 billion parameters activated per token.
Consistent with MiniMax-Text-01, the M1 model nat
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