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🖹 HASH-SUM: 9435d22dc4440c4cddd9a75423549fd7 | 📅 Updated on: 2026-07-18
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The latest advancements in optical character recognition have culminated in the development of olmOCR-2-7B-1025-FP8, a cutting-edge technology that boasts an unprecedented 7-billion parameter base. This remarkable feature enables unparalleled accuracy on complex document layouts, rendering traditional OCR methods obsolete. By leveraging the FP8 quantization scheme, olmOCR-2-7B-1025-FP8 achieves a delicate balance between inference speed and memory footprint, making it an ideal choice for both cloud and edge deployments.
• High-resolution scans up to 1025×1025 pixels, preserving fine glyphs and contextual spacing• A dedicated language model head leveraging multilingual tokenizers, supporting over 100 languages with a low error rate on cursive and printed text• Benchmark results demonstrating a 3.2% absolute gain over the previous generation on the PubLayNet dataset
| Model | olmOCR-2-7B-1025-FP8 |
| Parameters | 7 B |
| Input Resolution | 1025×1025 |
| Quantization | FP8 |
| Supported Languages | 100+ |
| License | Permissive (Apache 2.0) |
• Advanced vision encoder processing high-resolution scans with unparalleled accuracy• Seamless integration with cloud and edge deployments, catering to diverse infrastructure needs• Openly released under an permissive license for research and commercial use
The olmOCR-2-7B-1025-FP8 model boasts a 3.2% absolute gain over the previous generation on the PubLayNet dataset, showcasing its exceptional accuracy and efficiency. With its ability to process high-resolution scans up to 1025×1025 pixels, preserving fine glyphs and contextual spacing, olmOCR-2-7B-1025-FP8 sets a new standard for optical character recognition.
• Explore the open-source repository for access to the model and its documentation• Integrate olmOCR-2-7B-1025-FP8 into your existing infrastructure, tailored to your specific needs• Collaborate with our community of researchers and developers to further develop this cutting-edge technology