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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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<br>
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<br>
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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 1 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/InternLM/InternLM-XComposer/tree/main/projects/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/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video)].
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## Training dataset
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All training data are open-sourced in our [repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/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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