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Organization

Network for Advancing Modern ArabicNLP & AI

NAMAA-Space

ArabicNLP, LLMs, RAG, Evaluation, Embeddings, Datasets

Models in Library1
Datasets in Library0
Models on Hugging Face57
Followers352

Models

QARI-OCR v0.3 is a specialized vision-language model fine-tuned for Arabic Optical Character Recognition with a focus on structural document understanding. - Built on Qwen2-VL-2B-Instruct, this model excels at preserving document layouts, HTML tags, and formatting while transcribing Arabic text. - It is described in detail in the paper QARI-OCR: High-Fidelity Arabic Text Recognition through Multimodal Large Language Model Adaptation. While QARI v0.2 achieves better raw text accuracy (CER: 0.061), QARI v0.3 excels in: - HTML/Markdown structure preservation - Document layout understanding - Handwritten text recognition (initial capabilities) - 5x faster training than v0.2 You can load this…

Open weights apache-2.0 2.2B parameters 32,768 tokens transformers