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LLaVA-Mini
Python

LLaVA-Mini

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

by ictnlp · GitHub
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efficientgpt4ogpt4vApache-2.0PythonSelf-hostable
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In plain words

Understand images and videos efficiently using a unified model that processes visual content.

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2026-07-202026-08-31
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📄 About

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

LLaVA-Mini has 577 stars on GitHub. It has been forked 34 times. LLaVA-Mini is written mainly in Python. It has been in active development since 2025. LLaVA-Mini is available under the Apache-2.0 license. Its main topics are efficient, gpt4o, gpt4v, large-language-models.

Frequently asked questions

What is LLaVA-Mini?

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

Is LLaVA-Mini open source?

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

Is LLaVA-Mini free?

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

What license does LLaVA-Mini use?

LLaVA-Mini is available under the Apache-2.0 license.

What language is LLaVA-Mini written in?

LLaVA-Mini is written mainly in Python.

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