Adasah QA 0.1 3B Instruct Merged 4bits

🚀 Adasah - Qwen 2.5 3B (4-bit) Fine-tuned on Arabic Photo Q&A and Descriptions

Adasah is a fine - tuned model based on Qwen 2.5 3B, which is optimized for Arabic language understanding in visual scenarios. It can answer Arabic questions about images, generate Arabic descriptions of visual content, and serve as a mobile assistant for Arabic - speaking users.

🚀 Quick Start

Demo Video

Adasah - IOS App

App Store

⚠️ Important Note

The app downloads a 2GB model, so it takes some time for the first time.

Forked from Huggingsnap

https://github.com/huggingface/HuggingSnap

✨ Features

Model Overview

Adasah is a fine - tuned variant of the Qwen 2.5 3B base model, optimized for Arabic language understanding in visual contexts. The model was trained on a custom dataset consisting of English visual question - answer pairs and photo descriptions translated into Arabic, allowing it to:

• Answer Arabic questions about images
• Generate Arabic descriptions of visual content
• Serve as a mobile assistant for Arabic - speaking users

The model is quantized to 4 - bit to ensure smooth on - device performance on iOS apps.

Mobile Optimization

The model is quantized using 4 - bit precision to make it lightweight and suitable for on - device inference in:

• iOS apps
• Offline - first mobile experiences
• Arabic language educational or accessibility tools

📦 Installation

Use with mlx

pip install -U mlx-vlm

💻 Usage Examples

Basic Usage

python -m mlx_vlm.generate --model NAMAA-Space/Adasah-QA-0.1-3B-Instruct-merged-4bits --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>