Add model card for OpenVision 2

README.md

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+pipeline_tag: image-text-to-text
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+# OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning
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+This repository hosts the OpenVision 2 model, a family of generative pretrained visual encoders for multimodal learning. As described in the paper [OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning](https://huggingface.co/papers/2509.01644), OpenVision 2 simplifies its predecessor's architecture by removing the text encoder and contrastive loss, relying solely on a captioning loss for a purely generative training signal.
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+This simplification significantly enhances training efficiency, reducing both training time and memory consumption, while maintaining competitive performance across a broad range of multimodal benchmarks. The improved efficiency allows for scaling to vision encoders exceeding 1 billion parameters, advocating for a lightweight, generative-only approach in multimodal foundation models.
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+- **Paper:** [OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning](https://huggingface.co/papers/2509.01644)
+- **Project Page:** [https://ucsc-vlaa.github.io/OpenVision2/](https://ucsc-vlaa.github.io/OpenVision2/)
+- **GitHub Repository:** [https://github.com/UCSC-VLAA/OpenVision/blob/main/src/main_openvision2.py](https://github.com/UCSC-VLAA/OpenVision/blob/main/src/main_openvision2.py)