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# **epsilon-ocr-d.markdown-post3.0.m-GGUF**
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> [epsilon-ocr-d.markdown-post3.0.m](https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m) is an experimental document AI multimodal model fine tuned on top of Qwen2.5-VL-3B-Instruct, optimized for OCR driven document reconstruction and dynamic Markdown generation. It converts documents into structured Markdown, HTML-Markdown, and hybrid technical documentation formats with inline code adaptation. Built for efficient model scaling, it offers strong performance with reduced compute requirements. This post-3.0 iteration enhances accuracy in reading order detection, element localization, and multimodal reasoning for real-world PDFs/images, positioning it as a lightweight alternative for privacy-focused, local deployment in document parsing pipelines.
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# **epsilon-ocr-d.markdown-post3.0.m-GGUF**
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> [epsilon-ocr-d.markdown-post3.0.m](https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m) is an experimental document AI multimodal model fine tuned on top of Qwen2.5-VL-3B-Instruct, optimized for OCR driven document reconstruction and dynamic Markdown generation. It converts documents into structured Markdown, HTML-Markdown, and hybrid technical documentation formats with inline code adaptation. Built for efficient model scaling, it offers strong performance with reduced compute requirements. This post-3.0 iteration enhances accuracy in reading order detection, element localization, and multimodal reasoning for real-world PDFs/images, positioning it as a lightweight alternative for privacy-focused, local deployment in document parsing pipelines.
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