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README.md

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+# ViP-LLaVA Model Card
+
+## Model details
+
+**Model type:**
+ViP-LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on both image level instruction data and region-level instruction data annotated with visual prompts.
+It is an auto-regressive language model, based on the transformer architecture.
+
+**Model date:**
+ViP-LLaVA-7B-Pretrain was trained in November 2023. [Paper](https://arxiv.org/abs/2312.00784)
+
+**Paper or resources for more information:**
+https://vip-llava.github.io/
+
+## 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/mu-cai/ViP-LLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of ViP-LLaVA 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.
+
+## Evaluation dataset
+ViP-LLaVA achieves state-of-the-art performance in 4 academic region-level benchmarks and our newly proposed RegionBench.