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Arabic-OCR-Qwen2.5-VL-7B-Vision
loay/Arabic-OCR-Qwen2.5-VL-7B-Vision
Arabic-OCR-Qwen2.5-VL-7B-Vision is a image-to-text model from loay. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as apache-2.0.
This repository contains the float16 merged version of a Vision-Language Model (VLM), fine-tuned by loay for the specific task of performing Optical Character Recognition (OCR) on Arabic text from images.
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025
- SHA
- 7e2f762f
Base models
Model card
From the Hugging Face model README
ArabicOCR-Qwen2.5-VL-7B-Vision
This repository contains the float16 merged version of a Vision-Language Model (VLM), fine-tuned by loay for the specific task of performing Optical Character Recognition (OCR) on Arabic text from images.
The model was created by fine-tuning the unsloth/Qwen2.5-VL-7B-Instruct-bnb-4bit model using LoRA adapters. The high-performance training was made possible by the Unsloth library, and the adapters were then merged back into the base model for easy deployment.
Model Details
- Fine-tuned by: loay
- Base Model:
unsloth/Qwen2.5-VL-7B-Instruct-bnb-4bit - Fine-tuning Task: Arabic Optical Character Recognition (OCR)
- Training Data: The model was trained on a curated dataset of images containing Arabic text and their corresponding transcriptions.
- Output Format: This is a
float16precision model, ideal for inference on GPUs with sufficient VRAM (requires >14GB).
- Task
- Image-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- apache-2.0
- Languages
- en, ar
- Created
- Jul 18, 2025
- Updated
- Jul 18, 2025