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# NuMarkdown-reasoning 📄
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**NuMarkdown-reasoning** is the first reasoning vision-language model trained to
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It is a fine-tune of **Qwen 2.5-VL-7B** using ~10 k synthetic doc-to-Reasoning-to-Markdown pairs, followed by a RL phase (GRPO) with a layout-centric reward.
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*(note: the number of thinking tokens can vary from 20% to 2X the number of token of the final answers)*
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# NuMarkdown-reasoning 📄
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**NuMarkdown-reasoning** is the first reasoning vision-language model trained specifically to convert documents into clean GitHub-flavoured Markdown.
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It is a fine-tune of **Qwen 2.5-VL-7B** using ~10 k synthetic doc-to-Reasoning-to-Markdown pairs, followed by a RL phase (GRPO) with a layout-centric reward.
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*(note: the number of thinking tokens can vary from 20% to 2X the number of token of the final answers)*
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