Mamba two blocks

Mamba-2 is a component within the Mamba state space model (SSM) framework, designed for sequence modeling tasks. It is not a standalone tool but an improved block architecture implemented as part of the open-source Mamba project. The Mamba framework focuses on efficient sequence modeling by leveraging a selective state space model (S6) that achieves linear-time computation relative to sequence length. This contrasts with transformer models, which typically scale quadratically with sequence length. Mamba-2 incorporates hardware-aware optimizations such as kernel fusion and parallel scan to enhance computational speed and efficiency. The project supports PyTorch 1.12+ and CUDA 11.6+ environments.