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README.md

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-license: cc-by-4.0
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+---
+license: cc-by-nc-4.0
+---
+
+# Mobile-VideoGPT-0.5B
+
+---
+## 📝 Description
+Mobile-VideoGPT is an efficient multimodal framework designed to operate with fewer than a billion parameters. Unlike traditional video large multimodal models, Mobile-VideoGPT consists of lightweight dual visual encoders, efficient projectors, and a small language model (SLM) with real-time throughput. We evaluate our model across well-established six video understanding benchmarks (e.g., MVBench, EgoSchema, NextQA, and PerceptionTest), and our results show that Mobile-VideoGPT-0.5B can generate up to 46 tokens per second while outperforming existing state-of-the-art 0.5B-parameter competitors.
+
+**This model contains Mobile-VideoGPT checkpoints with Qwen-2.5-0.5B LLM**
+
+## 💻 Download
+To get started, follow these steps:
+   ```
+   git lfs install
+   git clone https://huggingface.co/Amshaker/Mobile-VideoGPT-0.5B
+   ```
+
+## 📚 Additional Resources
+- **Paper:** [ArXiv]().
+- **GitHub Repository:** For training and evaluation: [GitHub - Mobile-VideoGPT](https://github.com/Amshaker/Mobile-VideoGPT).
+
+## 📜 Citations:
+
+```bibtex
+    @article{Shaker2025MobileVideoGPT,
+        title={Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model},
+        author={Shaker, Abdelrahman and Maaz, Muhammad and Rezatofighi, Hamid and Khan, Salman and Khan, Fahad Shahbaz},
+        journal={arxiv},
+        year={2025},
+        url={https://arxiv.org/abs/X.X}
+    }