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AI 모델 84759

• parakeet-0.6b-ja-coreml↗

  FluidInference

• hin-100mb-after-wc-zipf-newlex-before-ckpt500-packed-bfdiso_seed3407↗

  francesca9805

• TCD-SD15-LoRA↗

  h1t

• MiniCPM-V-4.7-35B-A3B-ROCmFPX↗

  Harsha001

• opus-mt-es-ca↗

  Helsinki-NLP

• Hy-MT1.5-1.8B-1.25bit↗

  腾讯

• granite-3.3-8b-rag-agent-lib↗

  ibm-granite

• UI-Venus-1.5-2B↗

  inclusionAI

  This 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.

• DeepSeek-V4-Flash-MLX-Q2i↗

  inferencerlabs

• parakeet-tdt-0.6b-v2-onnx↗

  istupakov