Ring-mini-2.0-GGUF
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Ring-mini-linear-2.0
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View details ↗Ring-mini-sparse-2.0-exp
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View details ↗SingGuard-0.8b
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View details ↗SingGuard-2b-GGUF
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View details ↗SingGuard-NSFA-0.8B
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View details ↗UI-Venus-1.5-2B
inclusionAIThis repository contains the UI-Venus model from the report UI-Venus-1.5 Technical Report. UI-Venus 1.5 is a unified, end-to-end GUI Agent designed for robust real-world applications. The model family includes two dense (2B/8B) and one MoE (30B-A3B) variants to meet various downstream scenarios. > **Figure:** Performance of UI-Venus 1.5 across multiple benchmarks. UI-Venus-1.5 achieves **State-of-the-Art (SOTA)** results on key grounding benchmarks (**ScreenSpot-Pro**, **VenusBench-GD**, **OSWorld-G**, **UI-Vision**) and agent benchmarks (**AndroidWorld**, **AndroidLab**, **VenusBench-Mobile**). > **Figure:** The Four-Stage Training Pipeline of UI-Venus-1.5. Starting from the Qwen3-VL Series, the model undergoes a progressive training curriculum comprising: (1) Mid-Training with large-scale GUI data for domain knowledge injection; (2) Offline-RL with task-specific optimization across grounding, mobile, and web objectives; (3) Online-RL to further enhance navigation capabilities in complex, real-world scenarios; and (4) Model Merge to unify the specialized models into the final UI-Venus-1.5.
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View details ↗UI-Venus-1.5-30B-A3B
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View details ↗UI-Venus-1.5-8B
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View details ↗UI-Venus-2-9B
inclusionAI**UI-Venus-2** is a general-purpose foundation GUI agent designed to operate across **mobile applications, web platforms, and desktop operating systems** through a unified closed-loop reasoning–action framework: the agent observes the current interface, reasons about the task state, executes an action, and incorporates environmental feedback into its next decision. To bridge the gap from benchmark-oriented models toward dependable real-world applications, UI-Venus-2 jointly scales three critical dimensions: UI-Venus-2 is evaluated for consequential-action safety on OSHarm and OSBlind. UI-Venus-2-9B achieves an Attack Success Rate (ASR, lower is better) of **11.3% on OSHarm** and **48.8% on OSBlind**, compared with 25.3% and 79.4%, respectively, for its Qwen3.5-9B base model.
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View details ↗UI-Venus-Ground-72B
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View details ↗UI-Venus-Ground-7B
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View details ↗UI-Venus-Navi-72B
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View details ↗ViLaSR
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View details ↗VISTA-9B
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