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Groma
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Groma

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

by FoundationVision · GitHub
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foundation-modelsgroundinglarge-language-modelsApache-2.0PythonSelf-hostable
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In plain words

Interact with a large language model that understands visual context and can generate detailed responses based on images.

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2026-07-202026-08-31
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📄 About

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

Groma has 586 stars on GitHub. It has been forked 44 times. Groma is written mainly in Python. It has been in active development since 2024. Groma is available under the Apache-2.0 license. Its main topics are foundation-models, grounding, large-language-models, llama.

Frequently asked questions

What is Groma?

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

Is Groma open source?

Groma is an open-source project. It is released under the Apache-2.0 license.

Is Groma free?

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

What license does Groma use?

Groma is available under the Apache-2.0 license.

What language is Groma written in?

Groma is written mainly in Python.

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