Run dots.mocr Using Pinokio Zero Config

Run dots.mocr Using Pinokio Zero Config

Using a native PowerShell script is the absolute quickest way to install this model.

Review and follow the instructions below.

The client handles the setup, pulling gigabytes of data automatically.

During setup, the script automatically determines and applies the best settings.

🔍 Hash-sum: 4a233742cb790aa01f3d107ad6ce81cd | 🕓 Last update: 2026-06-30



  • Processor: next-gen chip for heavy context processing
  • RAM: required: 16 GB absolute minimum for small models
  • Storage: extra room for future model updates and datasets
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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