OpenCUA 7B π Website π Paper π» Code π vLLM Serve (Recommended) We recommend using vLLM for production deployment. Requires vllm =0.12.0 with trust remote code . Adjust gpu memory utilization based on your hardware configuration. Introduction OpenCUA models (OpenCUA 7B, OpenCUA 32B, and OpenCUA 72B) are end to end computer use foundation models that can produce executable actions in the computer environments with great planning and grounding capabilities. They are based on the Qwen2.5 VL model family. With the help of OpenCUA framework, our end to end agent models demonstrate strong performance across CUA benchmarks. In particular, OpenCUA 72B achieves an average success rate of 45.0% on OSWorld Verified, establishing a new state of the art (SOTA) among open source models. OpenCUA 72B also has strong grounding ability, achieving 37.3% (SOTA) on UI Vision and 60.8% on ScreenSpot Pro. π’ Updates 2026 01 17: π vLLM now fully supports OpenCUA 7B, OpenCUA 32B, and OpenCUA 72B! Thanks to the Meituan EvoCUA Team for their contributions to vLLM integration. 2025 10 12: OpenCUA 7B exl2 is now live! β‘οΈ Thanks to Sujit Vasanth for producing a quantized exllamav2 version of OpenCUA 7B β enβ¦
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