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MultiModalMamba
Python

MultiModalMamba

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

by kyegomez · GitHub
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aiartificial-intelligenceattention-mechanismMITPython
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Process and analyze both text and image data simultaneously using a high-performance AI model.

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2026-07-202026-08-31
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📄 About

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

MultiModalMamba has 473 stars on GitHub. It has been forked 28 times. MultiModalMamba is written mainly in Python. It has been in active development since 2024. MultiModalMamba is available under the MIT license. Its main topics are ai, artificial-intelligence, attention-mechanism, machine-learning.

Frequently asked questions

What is MultiModalMamba?

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

Is MultiModalMamba open source?

MultiModalMamba is an open-source project. It is released under the MIT license.

Is MultiModalMamba free?

Yes. MultiModalMamba is free and open source — you can use, modify and self-host it.

What license does MultiModalMamba use?

MultiModalMamba is available under the MIT license.

What language is MultiModalMamba written in?

MultiModalMamba is written mainly in Python.

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