42 lines
1.3 KiB
Markdown
42 lines
1.3 KiB
Markdown
---
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inference: false
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---
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<br>
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<br>
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# LLaVA Model Card
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This is a pretrained checkpoint, you can use it to instruct tune your multimodal models.
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Check out the instructions [here](https://github.com/haotian-liu/LLaVA/blob/main/README.md#visual-instruction-tuning)
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## Model details
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**Model type:**
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LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
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It is an auto-regressive language model, based on the transformer architecture.
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**Model date:**
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LLaVA-v1.5-MLP2x-336px-Pretrain-Vicuna-7B-v1.5 was trained in September 2023.
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**Paper or resources for more information:**
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https://llava-vl.github.io/
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## License
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Llama 2 is licensed under the LLAMA 2 Community License,
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Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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**Where to send questions or comments about the model:**
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https://github.com/haotian-liu/LLaVA/issues
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## Intended use
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**Primary intended uses:**
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The primary use of LLaVA is research on large multimodal models and chatbots.
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**Primary intended users:**
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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## Training dataset
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- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
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