The data also provides a demo using the Mamba model and AutoTokenizer from the transformers library. The Mamba model is used to generate a completion for the prompt 'Mamba is the', resulting in a description of the Mamba as the world's longest venomous snake. The Mamba architecture was introduced in a paper by Albert Gu and Tri Dao, and the official implementation can be found on GitHub.
Key takeaways:
- The Mamba-minimal is a simple, minimal implementation of Mamba in one file of PyTorch, providing equivalent numerical output as the official implementation for both forward and backward pass.
- The code is simplified, readable, and annotated, but it does not include speed optimizations and proper parameter initialization.
- A demo is provided in the form of a Jupyter notebook, showcasing examples of prompt completions using the Mamba model and a tokenizer from the transformers library.
- The Mamba architecture was introduced in a paper by Albert Gu and Tri Dao, and the official implementation can be found on GitHub.