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--- |
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license: apache-2.0 |
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inference: false |
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datasets: |
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- Lin-Chen/ShareGPT4V |
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- ShareGPT4Video/ShareGPT4Video |
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pipeline_tag: visual-question-answering |
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--- |
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# sharegpt4video-8b Model Card |
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## Model details |
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**Model type:** |
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sharegpt4video-8b is an open-source video chatbot trained by fine-tuning the entire model on open-source [video instruction data](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video). The training process takes around 5 hour on 32xA100 GPUs. |
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**Model date:** |
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sharegpt4video-8b was trained in May 2024. |
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**Paper or resources for more information:** |
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[[Code](https://github.com/ShareGPT4Omni/ShareGPT4Video)] [[Project Page](https://sharegpt4video.github.io/)] |
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## Usage |
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You can utilize this model as we provide in our [[repository](https://github.com/ShareGPT4Omni/ShareGPT4Video)]. |
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## Training dataset |
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All training data are open-sourced, you can find the usage in our [repository](https://github.com/ShareGPT4Omni/ShareGPT4Video). |
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- 153K collection of various video instruction data |
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- 28K high-quality video caption data from [[ShareGPT4Video](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video)] |
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## Intended use |
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**Primary intended uses:** |
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The primary use of sharegpt4video-8b is research on large video-language models and video 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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