How to Autostart dots.mocr on Copilot+ PC

Running this model locally is fastest when deployed through Docker.

Refer to the instructions below to proceed.

No manual effort needed; the setup auto-ingests the large data.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

💾 File hash: df388dee6dc97e722b06a097438933e2 (Update date: 2026-06-24)



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: 12 GB VRAM minimum required for basic quantization

The dots.mocr model is a state‑of‑the‑art multimodal OCR system designed for high‑speed document processing. It combines vision and language modules to extract text from scanned images, handwritten notes, and natural‑scene photos with unprecedented accuracy. With a parameter count of 1.5 B, the model runs efficiently on consumer GPUs while maintaining real‑time inference speeds. The architecture incorporates a novel attention‑based layout analyzer that preserves structural relationships, enabling downstream tasks such as data entry and content summarization. dots.mocr also supports multilingual scripts, achieving over 90 % word‑error‑rate reduction on benchmark datasets compared to legacy solutions. Its modular design allows developers to fine‑tune specific components, making it a versatile choice for enterprise workflow automation.

Spec Value
Parameters 1.5 B
Input Types PDF, JPG, PNG, Handwritten
Supported Languages 100
Inference Speed >30 fps on RTX 3080
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