Update README.md

README.md

@@ -29,6 +29,8 @@ datasets:
 
 > The **DeepCaption-VLA-7B** model is a fine-tuned version of **Qwen2.5-VL-7B-Instruct**, tailored for **Image Captioning** and **Vision Language Attribution**. This variant is designed to generate precise, highly descriptive captions with a focus on **defining visual properties, object attributes, and scene details** across a wide spectrum of images and aspect ratios.
 
+[![Download Demo Notebook](https://img.shields.io/badge/Open%20Demo%20Notebook-DeepCaption--VLA--7B-blue?style=for-the-badge&logo=jupyter)](https://github.com/PRITHIVSAKTHIUR/Multimodal-Outpost-Notebooks/blob/main/DeepCaption-VLA-7B%5B4bit%20-%20notebook%20demo%5D/DeepCaption-VLA-7B.ipynb)
+
 # Key Highlights
 
 1. **Vision Language Attribution (VLA):** Specially fine-tuned to attribute and define visual properties of objects, scenes, and environments.