chandra-ocr-2 No-Internet Version Windows

chandra-ocr-2 No-Internet Version Windows

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

Make sure to follow the instructions below.

Be patient as the system self-retrieves massive model weights dynamically.

The smart installation system will instantly find the perfect configuration.

📤 Release Hash: 9729f80a03ee89c58615f822b211837f • 📅 Date: 2026-07-03



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The **chandra-ocr-2** model delivers *state-of-the-art* optical character recognition with unprecedented accuracy across diverse document types. It leverages a deep convolutional neural network architecture combined with attention mechanisms to capture both fine-grained character shapes and contextual layout cues. The model supports a wide range of languages and scripts, making it suitable for global enterprise workflows. Performance benchmarks show a character error rate below 0.5% on standard benchmarks, outperforming previous generations by over 15%. Integration is streamlined via a lightweight API that processes images in *real-time* with minimal hardware requirements.

Specification Value
Model size 210 MB
Supported languages 100
Input resolution 2048 × 3072 px
Processing speed > 30 fps
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July 6, 2026

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