Model card
NuMarkdown 8B Thinking is a specialized vision-language model optimized for high-fidelity image-to-markdown conversion. Unlike general-purpose OCR, this model focuses on structural integrity, accurately translating complex visual layouts—such as nested tables, mathematical formulas, and hierarchical headers—into clean, semantic Markdown. For developers, this means significantly less post-processing when digitizing documentation or converting legacy PDFs into LLM-ready datasets. It bridges the gap between raw visual data and structured text, offering a streamlined pipeline for RAG systems that rely on precise document parsing. Its 8B parameter scale provides a balanced trade-off between inference latency and reasoning capabilities, making it suitable for integration into automated data ingestion workflows.
Model files and versions
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We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
numind/NuMarkdown-8B-ThinkingInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model numind/NuMarkdown-8B-ThinkingREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model numind/NuMarkdown-8B-Thinking README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('numind/NuMarkdown-8B-Thinking')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/numind/NuMarkdown-8B-Thinking.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/numind/NuMarkdown-8B-Thinking.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
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