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README.md

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-license: apache-2.0
+inference: false
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+<br>
+<br>
+
+# ShareGPT4V-7B Model Card
+
+## Model details
+
+**Model type:**
+This is the pre-trained LLM and projector of ShareGPT4v-7B
+
+**Model date:**
+ShareGPT4V-7B-Pretrained 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/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)] [[Dataset](https://huggingface.co/datasets/Lin-Chen/ShareGPT4V)]
+
+## Usage
+You can directly utilize this model as we provide in our [[repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4V)]. Moreover, you can modify the architecture name from "Share4VLlamaForCausalLM" to "LLaVALlamaForCausalLM" and the model_type keyword from "share4v" to "llava" in our config file and seamlessly load our model in the [[LLaVA repository](https://github.com/haotian-liu/LLaVA)].
+
+## 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 ShareGPT4V-7B is research on large multimodal models and 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.
+
+## Training dataset
+- 1.2M high-quality image-text pairs, i.e., ShareGPT4V-PT data