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  ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/jZDZ1mLBJz-eFvNl2dH0u.png)
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- # **Epsilon-OCR-D.Markdown-Post3.0.m**
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- > **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.
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  # Key Enhancements
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@@ -52,10 +52,10 @@ from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
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  from qwen_vl_utils import process_vision_info
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  model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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- "prithivMLmods/Epsilon-OCR-D.Markdown-Post3.0.m", torch_dtype="auto", device_map="auto"
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  )
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- processor = AutoProcessor.from_pretrained("prithivMLmods/Epsilon-OCR-D.Markdown-Post3.0.m")
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  messages = [
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  {
 
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  ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/jZDZ1mLBJz-eFvNl2dH0u.png)
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+ # **epsilon-ocr-d.markdown-post3.0.m**
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+ > **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.
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  # Key Enhancements
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  from qwen_vl_utils import process_vision_info
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  model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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+ "prithivMLmods/epsilon-ocr-d.markdown-post3.0.m", torch_dtype="auto", device_map="auto"
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  )
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+ processor = AutoProcessor.from_pretrained("prithivMLmods/epsilon-ocr-d.markdown-post3.0.m")
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  messages = [
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  {