--- library_name: transformers license: apache-2.0 pipeline_tag: image-text-to-text tags: - multimodal - gui --- # MobiMind-Decider-7B Model This is the Decider Model of [MobiAgent](https://github.com/IPADS-SAI/MobiAgent) with 7B parameters, as presented in the paper [MobiAgent: A Systematic Framework for Customizable Mobile Agents](https://huggingface.co/papers/2509.00531), capable of high-level GUI interaction decision in GUI agent task execution. ## Paper Abstract 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. ## About MobiAgent **MobiAgent** is a powerful mobile agent system including: * **An agent model family**: MobiMind * **An agent acceleration framework**: AgentRR * **An agent benchmark**: MobiFlow **System Architecture:**

## Evaluation Results
## Usage Deploy model inference service with vLLM: ```bash vllm serve IPADS-SAI/MobiMind-Decider-7B ``` 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)!