This is the AWQ model of UI TARS 1.5 7B, built using AutoAWQ on A100(80G), works with vllm and lmdeploy. Model Description UI TARS 1.5 7B is an open source multimodal agent model released by ByteDance. It achieves state of the art results across a variety of standard benchmarks, demonstrating strong reasoning capabilities and notable improvements over prior models. Code: https://github.com/bytedance/UI TARS Application: https://github.com/bytedance/UI TARS desktop Grounding Capability Evaluation Benchmark UI TARS 1.5 OpenAI CUA Claude 3.7 Previous SOTA ScreensSpot V2 94.2 87.9 87.6 91.6 ScreenSpotPro 61.6 23.4 27.7 43.6 Model Scale Comparison This table compares performance across different model scales of UI TARS on the OSworld benchmark. Benchmark Type Benchmark UI TARS 72B DPO UI TARS 1.5 7B UI TARS 1.5 Computer Use OSWorld 24.6 27.5 42.5 GUI Grounding ScreenSpotPro 38.1 49.6 61.6 The released UI TARS 1.5 7B focuses primarily on enhancing general computer use capabilities and is not specifically optimized for game based scenarios, where the UI TARS 1.5 still holds a significant advantage.
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