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README.md

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+---
+license: apache-2.0
+language:
+- en
+- ar
+library_name: transformers
+tags:
+- unsloth
+- qwen
+- qwen2.5-vl
+- arabic
+- ocr
+- vision
+- text-extraction
+- merged
+- lora
+pipeline_tag: image-to-text
+base_model: unsloth/Qwen2.5-VL-7B-Instruct-bnb-4bit
+---
+
+# 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](https://huggingface.co/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 `float16` precision model, ideal for inference on GPUs with sufficient VRAM (requires >14GB).