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  # olmOCR-7B-0725-FP8
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- Quantized to FP8 Version, using llmcompressor.
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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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  ## Usage
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- This model expects as input a single document image, rendered such that the longest dimension is 1024 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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  # olmOCR-7B-0725-FP8
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+ Quantized to FP8 Version of [olmOCR-7B-0725](https://huggingface.co/allenai/olmOCR-7B-0725), using llmcompressor.
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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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  ## 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).