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README.md

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+# InternVL-Chat Model Card
+
+## Model details
+
+**Model type:**
+InternVL-Chat is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
+It is an auto-regressive language model, based on the transformer architecture.
+
+**Model date:**
+InternVL-Chat-ViT-6B-Vicuna-7B was trained in November 2023.
+
+**Paper or resources for more information:**
+https://github.com/OpenGVLab/InternVL
+
+## License
+InternVL is released under the MIT license.
+
+Llama 2 is licensed under the LLAMA 2 Community License, 
+Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+**Where to send questions or comments about the model:**
+https://github.com/OpenGVLab/InternVL/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of InternVL-Chat 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
+- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
+- 158K GPT-generated multimodal instruction-following data.
+- 450K academic-task-oriented VQA data mixture.
+- 40K ShareGPT data.
+
+## Evaluation dataset
+A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
+
+## Acknowledgement
+
+This model card is adapted from [LLaVA's model card](https://huggingface.co/liuhaotian/llava-v1.5-13b). Thanks for their awesome work!