[GH-ISSUE #13976] Model request: PaddleOCR-VL-1.5 #9142

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opened 2026-04-12 21:59:44 -05:00 by GiteaMirror · 0 comments
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Originally created by @Leroy-X on GitHub (Jan 30, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/13976

https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.5

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PaddleOCR-VL-1.5 is an advanced next-generation model of PaddleOCR-VL, achieving a new state-of-the-art accuracy of 94.5% on OmniDocBench v1.5. To rigorously evaluate robustness against real-world physical distortions—including scanning artifacts, skew, warping, screen photography, and illumination—we propose the Real5-OmniDocBench benchmark. Experimental results demonstrate that this enhanced model attains SOTA performance on the newly curated benchmark. Furthermore, we extend the model’s capabilities by incorporating seal recognition and text spotting tasks, while remaining a 0.9B ultra-compact VLM with high efficiency.

Originally created by @Leroy-X on GitHub (Jan 30, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/13976 https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.5 <img width="1920" height="1134" alt="Image" src="https://github.com/user-attachments/assets/4d4b3352-7f3a-4865-9058-604bed52ed7b" /> PaddleOCR-VL-1.5 is an advanced next-generation model of PaddleOCR-VL, achieving a new state-of-the-art accuracy of 94.5% on OmniDocBench v1.5. To rigorously evaluate robustness against real-world physical distortions—including scanning artifacts, skew, warping, screen photography, and illumination—we propose the Real5-OmniDocBench benchmark. Experimental results demonstrate that this enhanced model attains SOTA performance on the newly curated benchmark. Furthermore, we extend the model’s capabilities by incorporating seal recognition and text spotting tasks, while remaining a 0.9B ultra-compact VLM with high efficiency.
GiteaMirror added the model label 2026-04-12 21:59:44 -05:00
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Reference: github-starred/ollama#9142