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- # LightOnOCR-2-1B
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- [![Speed](https://img.shields.io/badge/Speed-5.71%20pages%2Fs-brightgreen)](https://huggingface.co/lightonai/LightOnOCR-2-1B)
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- [![Model Size](https://img.shields.io/badge/Model%20Size-1B%20params-orange)](https://huggingface.co/lightonai/LightOnOCR-2-1B)
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- [![Demo](https://img.shields.io/badge/πŸš€%20Demo-Spaces-orange)](https://huggingface.co/spaces/lightonai/LightOnOCR-2-1B-Demo)
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- [![License](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
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- [![SOTA](https://img.shields.io/badge/OlmOCR--Bench-SOTA-gold)](https://huggingface.co/lightonai/LightOnOCR-2-1B)
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- [![Transformers](https://img.shields.io/badge/πŸ€—%20Transformers-supported-yellow)](https://github.com/huggingface/transformers)
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- [![vLLM](https://img.shields.io/badge/vLLM-supported-purple)](https://github.com/vllm-project/vllm)
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- [![Blog](https://img.shields.io/badge/πŸ“%20Blog-HuggingFace-yellow)](https://huggingface.co/blog/lightonai/lightonocr-2)
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- [![Dataset](https://img.shields.io/badge/πŸ“Š%20Dataset-LightOnOCR--mix-blue)](https://huggingface.co/datasets/lightonai/LightOnOCR-mix-0126)
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- [![BBox Dataset](https://img.shields.io/badge/πŸ“Š%20BBox%20Dataset-LightOnOCR--bbox--mix-blue)](https://huggingface.co/datasets/lightonai/LightOnOCR-bbox-mix-0126)
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- [![Colab](https://img.shields.io/badge/Finetuning-Notebook-F9AB00?logo=googlecolab)](https://colab.research.google.com/drive/1WjbsFJZ4vOAAlKtcCauFLn_evo5UBRNa?usp=sharing)
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- [![Website](https://img.shields.io/badge/LightOn-Website-blue?logo=google-chrome)](https://lighton.ai)
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- [![LinkedIn](https://img.shields.io/badge/LightOn-LinkedIn-0A66C2?logo=linkedin)](https://www.linkedin.com/company/lighton/)
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- [![X](https://img.shields.io/badge/@LightOnIO-X-black?logo=x)](https://x.com/LightOnIO)
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  <div align="center">
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  <img src="lightonocr-banner.png" alt="LightOnOCR-2-1B Banner" width="600"/>
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  </div>
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  # LightOnOCR-2-1B
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  **Best OCR model .** LightOnOCR-2-1B is **[LightOn's](https://lighton.ai)** flagship OCR model, refined with RLVR training for maximum accuracy. We recommend this variant for most OCR tasks.
 
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  <div align="center">
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  <img src="lightonocr-banner.png" alt="LightOnOCR-2-1B Banner" width="600"/>
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  </div>
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+ <div align="center">
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+ [![Website](https://img.shields.io/badge/LightOn-Website-blue?logo=google-chrome)](https://lighton.ai)
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+ [![LinkedIn](https://img.shields.io/badge/LightOn-LinkedIn-0A66C2?logo=linkedin)](https://www.linkedin.com/company/lighton/)
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+ [![X](https://img.shields.io/badge/@LightOnIO-X-black?logo=x)](https://x.com/LightOnIO)
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+ πŸ“„ [Paper](https://arxiv.org/pdf/2601.14251) | πŸ“ [Blog](https://huggingface.co/blog/lightonai/lightonocr-2) | πŸš€ [Demo](https://huggingface.co/spaces/lightonai/LightOnOCR-2-1B-Demo) | πŸ“Š [Dataset](https://huggingface.co/datasets/lightonai/LightOnOCR-mix-0126) | πŸ““ [Finetuning](https://colab.research.google.com/drive/1WjbsFJZ4vOAAlKtcCauFLn_evo5UBRNa?usp=sharing)
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+ </div>
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  # LightOnOCR-2-1B
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  **Best OCR model .** LightOnOCR-2-1B is **[LightOn's](https://lighton.ai)** flagship OCR model, refined with RLVR training for maximum accuracy. We recommend this variant for most OCR tasks.