Linear Scaling with Sequence Length
Mamba-2 processes sequences with computation time increasing linearly as sequence length doubles, unlike transformers which scale quadratically.
Selective Token Transformation
The architecture allows tokens to be transformed uniquely through a selective mechanism within the state space model.
Hardware-Optimized Implementation
Includes optimizations such as kernel fusion and parallel scan to improve runtime performance on supported hardware.
Compatibility
Works with PyTorch version 1.12 or higher and CUDA 11.6 or newer.