transformers pytorch llava text-generation arxiv:2311.03356 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
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license: apache-2.0
---

# 👁️ GLaMM-FullScope

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## 📝 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
   ```

## 📚 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}
  }
