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Mamba-2 – State Space Duality


Tri Dao's recent blog post introduces Mamba-2, enhancing the earlier State Space Model (SSM) with a Structured State Space Duality (SSD) approach for efficiently processing sequences in deep neural networks. Key advancements include linear computation in SSM mode and efficient matrix multiplication in SSD mode, which enables larger state dimensions and faster training. Mamba-2's dual mode algorithm combines both approaches during training for high efficiency.

  • Mamba-2 integrates SSD.
  • SSD permits larger N.
  • Training is quicker.
  • Dual mode algorithm.
  • Mamba-2 betters Mamba-1.