README.md

---
language:
- en
- zh
tags:
- gui-agent
- phone-use agent
- computer-use agent
- pua
- android
- multimodal
- gelab-zero
license: apache-2.0
base_model: Qwen/Qwen3-VL-4B-Instruct
library_name: transformers
---

## Model Details

This model is part of the [**GELab-Zero**](https://github.com/stepfun-ai/gelab-zero) project, which aims to accelerate the innovation and application deployment of GUI Agents by providing:
1.  **A 4B GUI Agent model** capable of running on local computers.
2.  **Plug-and-play inference infrastructure** that handles ADB connections, dependency installation, and task recording/replay (**available in the** [**GELab-Zero**](https://github.com/stepfun-ai/gelab-zero)).

### Key Capabilities
*   **Local Deployment**: Optimized for consumer-grade hardware, balancing low latency with privacy.
*   **GUI Navigation**: Proficient in detecting and interacting with UI elements (click, type, slide, wait, etc.) based on visual cues.
*   **Complex Task Execution**: Handles multi-step long-horizon tasks across various apps (Food, Transportation, Shopping, Social, etc.).
*   **Open-World Generalization**: Capable of zero-shot operation across diverse unseen applications and complex dynamic interfaces without requiring app-specific adaptation.

## Usage

### Quick Start with Ollama

The easiest way to run inference is using Ollama.

1.**Install Ollama**: Download from [ollama.com](https://ollama.com/).

2.**Download the Model**:

```bash
# Install huggingface-cli
pip install huggingface_hub
# Download model
huggingface-cli download --resume-download stepfun-ai/GELab-Zero-4B-preview --local-dir gelab-zero-4b-preview
```

3.**Create and Run in Ollama**:

```bash
cd gelab-zero-4b-preview
ollama create gelab-zero-4b-preview -f Modelfile
    
# Test the model
curl -X POST http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
        "model": "gelab-zero-4b-preview",
        "messages": [{"role": "user", "content": "Hello, GELab-Zero!"}]
      }'
```

To use this model for actual Android device control (ADB connection, task execution), please use the [GELab-Zero](https://github.com/stepfun-ai/gelab-zero).


## Citation

If you find GELab-Zero-4B-preview useful for your research, please consider citing our work :)

```bibtex
@software{gelab_zero_2025,
  title={GELab-Zero: An Advanced Mobile Agent Inference System},
  author={GELab Team},
  year={2025},
  url={https://github.com/stepfun-ai/gelab-zero}
}

@inproceedings{gelab_mt_rl,
  title={GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning},
  author={Yan, Haolong and Shen, Yeqing and Huang, Xin and Wang, Jia and Tan, Kaijun and Liang, Zhixuan and Li, Hongxin and Ge, Zheng and Yoshie, Osamu and Li, Si and others},
  booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}
}
```