36 lines
1.7 KiB
Markdown
36 lines
1.7 KiB
Markdown
---
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license: apache-2.0
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base_model:
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- ByteDance-Seed/UI-TARS-1.5-7B
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---
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This is the AWQ model of UI-TARS-1.5-7B, built using AutoAWQ on A100(80G), works with vllm and lmdeploy.
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## Model Description
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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.
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Code: https://github.com/bytedance/UI-TARS
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Application: https://github.com/bytedance/UI-TARS-desktop
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**Grounding Capability Evaluation**
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| Benchmark | UI-TARS-1.5 | OpenAI CUA | Claude 3.7 | Previous SOTA |
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|-----------|-------------|------------|------------|----------------|
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| [ScreensSpot-V2](https://arxiv.org/pdf/2410.23218) | **94.2** | 87.9 | 87.6 | 91.6 |
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| [ScreenSpotPro](https://arxiv.org/pdf/2504.07981v1) | **61.6** | 23.4 | 27.7 | 43.6 |
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## Model Scale Comparison
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This table compares performance across different model scales of UI-TARS on the OSworld benchmark.
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| **Benchmark Type** | **Benchmark** | **UI-TARS-72B-DPO** | **UI-TARS-1.5-7B** | **UI-TARS-1.5** |
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|--------------------|------------------------------------|---------------------|--------------------|-----------------|
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| Computer Use | [OSWorld](https://arxiv.org/abs/2404.07972) | 24.6 | 27.5 | **42.5** |
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| GUI Grounding | [ScreenSpotPro](https://arxiv.org/pdf/2504.07981v1) | 38.1 | 49.6 | **61.6** |
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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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