---
license: apache-2.0
base_model:
- ByteDance-Seed/UI-TARS-1.5-7B
---

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](https://arxiv.org/pdf/2410.23218) | **94.2** | 87.9 | 87.6 | 91.6 |
| [ScreenSpotPro](https://arxiv.org/pdf/2504.07981v1) | **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](https://arxiv.org/abs/2404.07972)             | 24.6                | 27.5               | **42.5**        |
| GUI Grounding      | [ScreenSpotPro](https://arxiv.org/pdf/2504.07981v1) | 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.