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README.md

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+# 👁️ GLaMM-FullScope
+
+---
+## 📝 Description
+GLaMM-FullScope encompasses all capabilities of GLaMM, which is mixed finetuned with many open-source datasets. "Full" signifies its comprehensive nature, incorporating the full range of GLaMM capabilities including 
+Grounded Conversation Generation (GCG), Referring Expression Segmentation, Region-level Captioning, Image-level captioning and Visual Question Answering.
+
+
+## 💻 Download
+To get started with GLaMM-FullScope, follow these steps:
+   ```
+   git lfs install
+   git clone https://huggingface.co/MBZUAI/GLaMM-FullScope_v0
+   ```
+
+## 📚 Additional Resources
+- **Paper:** [ArXiv](https://arxiv.org/abs/2311.03356).
+- **GitHub Repository:** For training and updates: [GitHub - GLaMM](https://github.com/mbzuai-oryx/groundingLMM).
+- **Project Page:** For a detailed overview and insights into the project, visit our [Project Page - GLaMM](https://mbzuai-oryx.github.io/groundingLMM/).
+
+## 📜 Citations and Acknowledgments
+
+```bibtex
+  @article{hanoona2023GLaMM,
+          title={GLaMM: Pixel Grounding Large Multimodal Model},
+          author={Rasheed, Hanoona and Maaz, Muhammad and Shaji, Sahal and Shaker, Abdelrahman and Khan, Salman and Cholakkal, Hisham and Anwer, Rao M. and Xing, Eric and Yang, Ming-Hsuan and Khan, Fahad S.},
+          journal={ArXiv 2311.03356},
+          year={2023}
+  }