This web content introduces a simple and minimal implementation of Mamba in one file of PyTorch. The implementation ensures that the numerical output matches the official implementation for both forward and backward pass. The code is simplified, readable, and annotated, making it easier to understand. However, it does not prioritize speed optimization, unlike the official implementation which is heavily optimized. Proper parameter initialization is also not included, but it could be added without sacrificing readability. The content provides a demo and references the Mamba architecture introduced in the paper “Mamba: Linear-Time Sequence Modeling with Selective State Spaces” by Albert Gu and Tri Dao. The official implementation can be found at the provided link.
https://github.com/johnma2006/mamba-minimal