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README.md

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-OpenCUA models (OpenCUA-7B, OpenCUA-32B and OpenCUA-72B) are end-to-end computer-use foundation models than can produce executable actions in the computer environments.  They are based on the weights of Qwen2.5-VL-7B-Instruction and Qwen2.5-VL-32B-Instruction. 
+OpenCUA models (OpenCUA-7B, OpenCUA-32B and OpenCUA-72B) are end-to-end computer-use foundation models than can produce executable actions in the computer environments.  They are based on the weights of Qwen2.5-VL-7B-Instruction, Qwen2.5-VL-32B-Instruction and Qwen2.5-VL-72B-Instruction. 
 They demonstrate superior performance across CUA benchmarks. In particular, <b>OpenCUA-72B</b> achieves an average success rate of **45.0%** on [OSWorld-Verified](https://os-world.github.io/), 
-establishing a new state-of-the-art (SOTA) among open-source models and surpassing OpenAI CUA (GPT-4o). Both models also have strong grounding performance, OpenCUA-32B achieves 59.6% on [OSWorld-G](https://osworld-grounding.github.io/) and 55.3% on [Screenspot-Pro](https://arxiv.org/abs/2504.07981). OpenCUA-72B achieves **60.8** on ScreenSpot-Pro and **37.3** on UI-Vision.
+establishing a new state-of-the-art (SOTA) among open-source models and surpassing OpenAI CUA (GPT-4o). It also has a strong grounding performance, and achieves **60.8** on ScreenSpot-Pro and **37.3** (SOTA) on UI-Vision.
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 ### Key Features