Launch GLM-OCR on Copilot+ PC One-Click Setup 5-Minute Setup

For the fastest local setup of this model, enabling Windows Features is best.

Follow the sequence of steps detailed below.

1-click setup: the app automatically fetches the large weight files.

To save you time, the system will automatically determine efficient resource allocation.

💾 File hash: 2de74cc49fc8c162e3313989f82695f6 (Update date: 2026-06-29) Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

GLM-OCR is a lightweight vision-language model tailored specifically for advanced document understanding and structure preservation. The architecture integrates a 400M parameter CogViT visual encoder alongside a compact 500M parameter GLM language decoder to maximize layout analysis precision. Unlike classic character recognition engines, this framework introduces an innovative Multi-Token Prediction (MTP) loss mechanism to increase decoding throughput substantially while lowering system memory demands. It effortlessly reconstructs intricate multilingual tables, LaTeX formulas, and handwritten text into semantic Markdown or structured JSON outputs. The compact blueprint allows for highly accurate, state-of-the-art multi-page processing directly within resource-constrained edge computing environments.

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