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---
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library_name: transformers
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license: apache-2.0
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pipeline_tag: image-text-to-text
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tags:
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- multimodal
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- gui
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---
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# MobiMind-Mixed-7B Model
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This is the Mixed Model of [MobiAgent](https://github.com/IPADS-SAI/MobiAgent) with 7B parameters, having the abilities of both the [MobiMind-Decider](https://huggingface.co/IPADS-SAI/MobiMind-Decider-7B/) and the [MobiMind-Grounder](https://huggingface.co/IPADS-SAI/MobiMind-Grounder-3B/) presented in the paper [MobiAgent: A Systematic Framework for Customizable Mobile Agents](https://huggingface.co/papers/2509.00531).
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## Paper Abstract
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With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile agents have emerged as a key development direction for intelligent mobile systems. However, existing agent models continue to face significant challenges in real-world task execution, particularly in terms of accuracy and efficiency. To address these limitations, we propose MobiAgent, a comprehensive mobile agent system comprising three core components: the MobiMind-series agent models, the AgentRR acceleration framework, and the MobiFlow benchmarking suite. Furthermore, recognizing that the capabilities of current mobile agents are still limited by the availability of high-quality data, we have developed an AI-assisted agile data collection pipeline that significantly reduces the cost of manual annotation. Compared to both general-purpose LLMs and specialized GUI agent models, MobiAgent achieves state-of-the-art performance in real-world mobile scenarios.
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## About MobiAgent
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**MobiAgent** is a powerful mobile agent system including:
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* **An agent model family**: MobiMind
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* **An agent acceleration framework**: AgentRR
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* **An agent benchmark**: MobiFlow
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**System Architecture:**
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<div align="center">
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<p align="center">
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<img src="https://raw.githubusercontent.com/IPADS-SAI/MobiAgent/main/assets/arch.png" width="100%"/>
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</p>
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</div>
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## Evaluation Results
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<table>
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<tr>
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<td><img src="https://raw.githubusercontent.com/IPADS-SAI/MobiAgent/main/assets/result1.png" width="100%"/></td>
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<td><img src="https://raw.githubusercontent.com/IPADS-SAI/MobiAgent/main/assets/result2.png" width="100%"/></td>
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<td><img src="https://raw.githubusercontent.com/IPADS-SAI/MobiAgent/main/assets/result3.png" width="100%"/></td>
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</tr>
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</table>
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## Usage
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Deploy model inference service with vLLM:
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```bash
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vllm serve IPADS-SAI/MobiMind-Mixed-7B
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```
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It simultaneously serves as the Decider and the Grounder, i.e., the requests for **both tasks** can be routed to this model.
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For more usage details, e.g., execute GUI tasks with ADB or our Android App, please refer to our [repo](https://github.com/IPADS-SAI/MobiAgent)!
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