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+ ---
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+ inference: false
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+ license: apache-2.0
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+ ---
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+
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+ # Model Card
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+
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+ <p align="center">
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+ <img src="./icon.png" alt="Logo" width="350">
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+ </p>
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+
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+ 📖 Technical report (coming soon) | 🏠 [Code](https://github.com/BAAI-DCAI/Bunny) | 🐰 [Demo](http://bunny.dataoptim.org/)
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+
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+ This is the merged weights of [bunny-phi-2-siglip-lora](https://huggingface.co/BAAI/bunny-phi-2-siglip-lora).
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+
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+ Bunny is a family of lightweight but powerful multimodal models. It offers multiple plug-and-play vision encoders, like EVA-CLIP, SigLIP and language backbones, including Phi-1.5, StableLM-2 and Phi-2. To compensate for the decrease in model size, we construct more informative training data by curated selection from a broader data source. Remarkably, our Bunny-3B model built upon SigLIP and Phi-2 outperforms the state-of-the-art MLLMs, not only in comparison with models of similar size but also against larger MLLM frameworks (7B), and even achieves performance on par with 13B models.
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+
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+ The model is pretrained on LAION-2M and finetuned on Bunny-695K.
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+ More details about this model can be found in [GitHub](https://github.com/BAAI-DCAI/Bunny).
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+
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+ ![comparison](comparison.png)
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+
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+ # License
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+ This project utilizes certain datasets and checkpoints that are subject to their respective original licenses. Users must comply with all terms and conditions of these original licenses.
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+ The content of this project itself is licensed under the Apache license 2.0.
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