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---
license: apache-2.0
inference: false
datasets:
- Lin-Chen/ShareGPT4V
- ShareGPT4Video/ShareGPT4Video
pipeline_tag: visual-question-answering
---
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# sharegpt4video-8b Model Card
## Model details
**Model type:**
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.
**Model date:**
sharegpt4video-8b was trained in May 2024.
**Paper or resources for more information:**
[[Code](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video)] [[Project Page](https://sharegpt4video.github.io/)]
## Usage
You can utilize this model as we provide in our [[repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video)].
## Training dataset
All training data are open-sourced in our [repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video).
- 153K collection of various video instruction data
- 28K high-quality video caption data from [[ShareGPT4Video](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video)]
## Intended use
**Primary intended uses:**
The primary use of sharegpt4video-8b is research on large video-language models and video chatbots.
**Primary intended users:**
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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