NuMarkdown 8B Thinking
🖥️ API / Platform | 🗣️ Discord | 🔗 GitHub | 🤗 Demo
Model source
- Kind
- Other
- File size
- 833 KB
- Base model
- numind/NuMarkdown-8B-Thinking
- Version
- vRevision 16d4d85
- Updated
- Sep 26, 2026
- Downloads
- 0
- Tasks
- Captioning
- Source
- Hugging Face
Source excerpt
🖥️ API / Platform | 🗣️ Discord | 🔗 GitHub | 🤗 Demo
Sources
1 source
Sources
1 sourceVerified Sep 10
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit base_model: numind/NuMarkdown-8B-Thinking tags: - OCR - vision-language - VLM - onnx - onnxruntime-genai - Reasoning - document-to-markdown - qwen2.5 - markdown - extraction - RAG model_name: NuMarkdown-8B-Thinking library_name: onnxruntime-genai pipeline_tag: image-to-text --- <p align="center"> <a href="https://nuextract.ai/"> <img src="numind.svg" width="400" height="400"/> </a> </p> <p align="center"> 🖥️ <a href="https://nuextract.ai/">API / Platform</a>   |   🗣️ <a href="https://discord.gg/3tsEtJNCDe">Discord</a>   |   🔗 <a href="https://github.com/numindai/NuMarkdown">GitHub</a>   |   🤗 <a href="https://huggingface.co/spaces/numind/NuMarkdown-8b-Thinking">Demo</a> </p> --- # Reasoning comes to OCR 🧠✨📄🤘 **NuMarkdown-8B-Thinking** is the first reasoning OCR VLM. It is specifically trained to convert documents into clean Markdown files, well suited for RAG applications. It generates thinking tokens to figure out the layout of the document before generating the Markdown file. It is particularly good at understanding documents with weird layouts and complex tables. The number of thinking tokens can vary from 20% to 500% of the final answer, depending on the task difficulty. **NuMarkdown-8B-Thinking** is a fine-tune of **Qwen 2.5-VL-7B** on synthetic Doc → Reasoning → Markdown examples, followed by an RL phase (GRPO) with a layout-centric reward. Try it out in [the 🤗 space!](https://huggingface.co/spaces/numind/NuMarkdown-8b-Thinking) ## Results **NuMarkdown-8B-Thinking** is outperforming generic non-reasoning models like GPT-4o and specialized OCR models like OCRFlux. It is competitive against large reasoning closed-source models like Gemini 2.5. ### Arena ranking against popular alternatives (using trueskill-2 ranking system, with around 500 model-anonymized votes): <p align="center"> | Rank | Model | μ | σ | μ − 3σ | | ---- | --------------------------------------- | ----- | ---- | ------ | | 🥇 1 | **gemini-flash-reasoning** | 26.75 | 0.80 | 24.35 | | 🥈 2 | **NuMarkdown-reasoning** | 26.10 | 0.79 | 23.72 | | 🥉 3 | **NuMarkdown-reasoning-w/o\_grpo** | 25.32 | 0.80 | 22.93 | | 4 | **OCRFlux-3B** | 24.63 | 0.80 | 22.22 | | 5 | **gpt-4o** | 24.48 | 0.80 | 22.08 | | 6 | **gemini-flash-w/o\_reasoning** | 24.11 | 0.79 | 21.74 | | 7 | **RolmoOCR** | 23.53 | 0.82...
Source context: 0 downloads · 1 likes · Pipeline image-to-text · Library onnxruntime-genai · Repo Prince-1/NuMarkdown-8B-Thinking
