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| # ShareCaptioner Model Card |
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| ## Model details |
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| **Model type:** |
| ShareCaptioner is an open-source captioner fine-tuned on GPT4-Vision-assisted [ShareGPT4V](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V) detailed caption data with a resolution of 448x448. ShareCaptioner is based on the improved [InternLM-Xcomposer-7B](https://github.com/InternLM/InternLM-XComposer) base model. |
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| **Model date:** |
| ShareCaptioner was trained in Nov 2023. |
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| **Paper or resources for more information:** |
| [[Project](https://ShareGPT4V.github.io/)] [[Paper](https://huggingface.co/papers/2311.12793)] [[Code](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)] |
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| ## License |
| Llama 2 is licensed under the LLAMA 2 Community License, |
| Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
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| ## Intended use |
| **Primary intended uses:** |
| The primary use of ShareCaptioner is about producing high-quality image captions. |
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| **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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| ## Finetuning dataset |
| - 100K GPT4-Vision-generated image-text pairs |
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