MAI UI 8B EU AI Act Compliance Profile

MAI-UI: Real-World Centric Foundation GUI Agents.

[📄 Paper] [🌐 Website] [💻 GitHub]

📖 Background

The development of GUI agents could revolutionize the next generation of human-computer interaction. Motivated by this vision, we present MAI-UI, a family of foundation GUI agents spanning the full spectrum of sizes, including 2B, 8B, 32B, and 235B-A22B variants. We identify four key challenges to realistic deployment: the lack of native agent–user interaction, the limits of UI-only operation, the absence of a practical deployment architecture, and brittleness in dynamic environments. MAI-UI addresses these issues with a unified methodology: a self-evolving data pipeline that expands the navigation data to include user interaction and MCP tool calls, a native device–cloud collaboration system that routes execution by task state, and an online RL framework with advanced optimizations to scale parallel environments and context length.

🚀 Quick Start

Deployment with vLLM

You can deploy the model using vLLM (requires vllm>=0.11.0 and transformers>=4.57.0):

# Install vLLM
pip install vllm

# Start vLLM API server
python -m vllm.entrypoints.openai.api_server \
    --model Tongyi-MAI/MAI-UI-8B \
    --served-model-name MAI-UI-8B \
    --host 0.0.0.0 \
    --port 8000 \
    --tensor-parallel-size 1 \
    --trust-remote-code

The model will be served at http://localhost:8000/v1.

🏆 Results

Grounding

MAI-UI establishes new state-of-the-art across GUI grounding and mobile navigation.

• On grounding benchmarks, it reaches 73.5% on ScreenSpot-Pro, 91.3% on MMBench GUI L2, 70.9% on OSWorld-G, and 49.2% on UI-Vision, surpassing Gemini-3-Pro and Seed1.8 on ScreenSpot-Pro. ![sspro](https://cdn-uploads.huggi

Your obligations as a MAI UI 8B deployer

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Tags

Library