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--- |
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language: |
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- en |
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license: apache-2.0 |
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datasets: |
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- allenai/olmOCR-mix-0225 |
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base_model: |
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- Qwen/Qwen2.5-VL-7B-Instruct |
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library_name: transformers |
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--- |
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<img alt="olmOCR Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmocr/olmocr.png" width="242px" style="margin-left:'auto' margin-right:'auto' display:'block'"> |
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# olmOCR-7B-0725 |
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This is a release of the olmOCR model that's fine tuned from Qwen2.5-VL-7B-Instruct using the |
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[olmOCR-mix-0225](https://huggingface.co/datasets/allenai/olmOCR-mix-0225) dataset. |
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Quick links: |
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- 📃 [Paper](https://olmocr.allenai.org/papers/olmocr.pdf) |
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- 🤗 [Dataset](https://huggingface.co/datasets/allenai/olmOCR-mix-0225) |
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- 🛠️ [Code](https://github.com/allenai/olmocr) |
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- 🎮 [Demo](https://olmocr.allenai.org/) |
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The best way to use this model is via the [olmOCR toolkit](https://github.com/allenai/olmocr). |
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The toolkit comes with an efficient inference setup via sglang that can handle millions of documents |
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at scale. |
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## Usage |
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This model expects as input a single document image, rendered such that the longest dimension is 1288 pixels. |
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The prompt must then contain the additional metadata from the document, and the easiest way to generate this |
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is to use the methods provided by the [olmOCR toolkit](https://github.com/allenai/olmocr). |
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## License and use |
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olmOCR is licensed under the Apache 2.0 license. |
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olmOCR is intended for research and educational use. |
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For more information, please see our [Responsible Use Guidelines](https://allenai.org/responsible-use). |
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