---
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).