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# ShareCaptioner Model Card ## Model details **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. **Model date:** ShareCaptioner was trained in Nov 2023. **Paper or resources for more information:** [[Project](https://ShareGPT4V.github.io/)] [[Paper](https://huggingface.co./papers/2311.12793)] [[Code](https://github.com/ShareGPT4Omni/ShareGPT4V)] ## License Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. ## Intended use **Primary intended uses:** The primary use of ShareCaptioner is about producing high-quality image captions. **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. ## Finetuning dataset - 100K GPT4-Vision-generated image-text pairs