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kyegomez/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.

MITPython
Open on GitHub Website
Stars
475
Forks
27
Open issues
0
Last push
10d ago

About MultiModalMamba

MultiModalMamba is a free, open-source AI developer tool by kyegomez, written mainly in Python. 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. It has 475 GitHub stars and 27 forks, and was last updated 10d ago. It's released under the MIT license, a standard open-source license.

License
MIT
Language
Python
Stars
475
Last update
10d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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MultiModalMamba FAQ

Is MultiModalMamba free?

Yes. MultiModalMamba is open source and free to use. It's released under the MIT license, a standard open-source license.

Does MultiModalMamba run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does MultiModalMamba need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is MultiModalMamba still maintained?

Yes. It was last updated 10d ago and has 0 open issues on GitHub.

What are alternatives to MultiModalMamba?

Similar free, open-source tools include tensorflow, RagaAI-Catalyst, spaCy, langchain.

Related topics

aiartificial-intelligenceattention-mechanismmachine-learningmlpytorchzetamamba