[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
Interact with a large language model that understands visual context and can generate detailed responses based on images.
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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.
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
Groma is an open-source project. It is released under the Apache-2.0 license.
Yes. Groma is free and open source — you can use, modify and self-host it.
Groma is available under the Apache-2.0 license.
Groma is written mainly in Python.
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