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README.md

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+# LLaVA Model Card
+
+This is a pretrained checkpoint, you can use it to instruct tune your multimodal models.
+
+Check out the instructions [here](https://github.com/haotian-liu/LLaVA/blob/main/README.md#visual-instruction-tuning)
+
+## Model details
+
+**Model type:**
+LLaVA 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:**
+LLaVA-v1-Pretrain-Vicuna-7B-v1.3 was trained in July 2023.
+
+**Paper or resources for more information:**
+https://llava-vl.github.io/
+
+## License
+Non-commerical Use.
+
+**Where to send questions or comments about the model:**
+https://github.com/haotian-liu/LLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of 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.