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We’ve released <a href="https://huggingface.co/ibm-granite/granite-docling-258M" target="_blank" style="color:#0284c7; font-weight:bold; text-decoration:underline;">
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granite-docling-258M</a>, the successor to <b>SmolDocling</b>. It will now receive updates and support, check it out!
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This model was presented in the paper [SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion](https://huggingface.co/papers/2503.11576).
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### 🚀 Features:
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We’ve released <a href="https://huggingface.co/ibm-granite/granite-docling-258M" target="_blank" style="color:#0284c7; font-weight:bold; text-decoration:underline;">
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granite-docling-258M</a>, the successor to <b>SmolDocling</b>. It will now receive updates and support, check it out!
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<img src="https://huggingface.co/ds4sd/SmolDocling-256M-preview/resolve/main/assets/SmolDocling_doctags1.png" alt="SmolDocling" style="width: 200px; height: auto; margin-right: 20px;">
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<h3>SmolDocling-256M-preview</h3>
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<p>SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with Docling through seamless support for <strong>DoclingDocuments</strong>.</p>
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This model was presented in the paper [SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion](https://huggingface.co/papers/2503.11576).
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### 🚀 Features:
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