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README.md

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+# ConvLLaVA Model Card
+
+## Model details
+
+**Model type:** ConvLLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: lmsys/vicuna-7b-v1.5
+
+**Model date:** ConvLLaVA-pretrain-768 was trained in March 2024.
+
+Paper or resources for more information: https://github.com/alibaba/conv-llava/
+
+## 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/alibaba/conv-llava/issues
+
+## Intended use
+**Primary intended uses:** The primary use of ConvLLaVA 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 ShareGPT4V-PT caption data.
+- 100K ShareGPT4V caption data.
+- 1.4M ALLaVA caption and instruction data.
+- 186K VFLAN multitask data.
+- 158K GPT-generated multimodal instruction-following data.
+- 500K academic-task-oriented VQA data mixture.
+- 40K ShareGPT data.