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--- |
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inference: false |
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pipeline_tag: image-text-to-text |
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--- |
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# LLaVA-UHD v2 Model Card |
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## Model details |
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**Model type:** |
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LLaVA-UHD v2, an advanced MLLM centered around a Hierarchical window transformer that enables capturing diverse visual granularity |
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by constructing and integrating a high resolution feature pyramid. |
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**Model date:** |
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LLaVA-UHD v2 was trained in November 2024. |
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**Paper or resources for more information:** |
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https://github.com/thunlp/LLaVA-UHD |
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## License |
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Llama 2 is licensed under the LLAMA 2 Community License, |
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Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
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**Where to send questions or comments about the model:** |
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https://github.com/thunlp/LLaVA-UHD/issues |
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## Intended use |
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**Primary intended uses:** |
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The primary use of LLaVA-UHD v2 is research on large multimodal models and chatbots. |
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**Primary intended users:** |
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |
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## Training dataset |
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- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP. |
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- JBU Pretrain: MS-COCO stuff 2017 |
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- Pretrain: LLaVA-Pretrain 558K (filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.) |
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- SFT: 858k-mixed dataset in https://huggingface.co/datasets/YipengZhang/LLaVA-UHD-v2-SFT-Data |
