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README.md

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----
-license: apache-2.0
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+---
+language:
+- en
+license: apache-2.0
+datasets:
+- allenai/olmOCR-mix-0225
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+library_name: transformers
+---
+
+<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'">
+
+# olmOCR-7B-0725-FP8
+
+Quantized to FP8 Version of [olmOCR-7B-0825](https://huggingface.co/allenai/olmOCR-7B-0825), using llmcompressor.
+
+This is a release of the olmOCR model that's fine tuned from Qwen2.5-VL-7B-Instruct using the 
+[olmOCR-mix-0225](https://huggingface.co/datasets/allenai/olmOCR-mix-0225) dataset.
+
+Quick links:
+- 📃 [Paper](https://olmocr.allenai.org/papers/olmocr.pdf)
+- 🤗 [Dataset](https://huggingface.co/datasets/allenai/olmOCR-mix-0225)
+- 🛠️ [Code](https://github.com/allenai/olmocr)
+- 🎮 [Demo](https://olmocr.allenai.org/)
+
+The best way to use this model is via the [olmOCR toolkit](https://github.com/allenai/olmocr).
+The toolkit comes with an efficient inference setup via sglang that can handle millions of documents
+at scale.
+
+## Usage
+
+This model expects as input a single document image, rendered such that the longest dimension is 1288 pixels.
+
+The prompt must then contain the additional metadata from the document, and the easiest way to generate this
+is to use the methods provided by the [olmOCR toolkit](https://github.com/allenai/olmocr).
+
+
+## License and use
+
+olmOCR is licensed under the Apache 2.0 license.
+olmOCR is intended for research and educational use.
+For more information, please see our [Responsible Use Guidelines](https://allenai.org/responsible-use).