UI TARS 2B SFT UI TARS 2B SFT UI TARS 2B gguf UI TARS 7B SFT UI TARS 7B DPO (Recommended) UI TARS 7B gguf UI TARS 72B SFT UI TARS 72B DPO (Recommended) Introduction UI TARS is a next generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision language model (VLM), enabling end to end task automation without predefined workflows or manual rules. This repository contains the model for the paper UI TARS: Pioneering Automated GUI Interaction with Native Agents. Code: https://github.com/bytedance/UI TARS Performance Perception Capabilty Evaluation Model VisualWebBench WebSRC SQAshort Qwen2 VL 7B 73.3 81.8 84.9 Qwen VL Max 74.1 91.1 78.6 Gemini 1.5 Pro 75.4 88.9 82.2 UIX Qwen2 7B 75.9 82.9 78.8 Claude 3.5 Sonnet 78.2 90.4 83.1 GPT 4o 78.5 87.7 82.3 UI TARS 2B 72.9 89.2 86.4 UI TARS 7B 79.7 93.6 87.7 UI TARS 72B 82.8 89.3 88.6 Grounding Capability Evaluatio…
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