---
title: GTA1-7B-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/GTA1-7B-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/GTA1-7B-4bit.md"
repository: mlx-community/GTA1-7B-4bit
last_updated: 2025-09-22
license: apache-2.0
model_type:
  - qwen2_5_vl
architectures:
  - Qwen2_5_VLForConditionalGeneration
base_model:
  - HelloKKMe/GTA1-7B
base_model_relation: quantized
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 77
stars: 0
---

# GTA1-7B-4bit

> GTA1-7B-4bit - mlx-community 在 ModelScope 开源的模型。This model is covnert by mlxvlm from HelloKKMe/GTA1-7B.

mlx-community/GTA1-7B-4bit 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可，基于 HelloKKMe/GTA1-7B 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/GTA1-7B-4bit
- **License**: apache-2.0
- **Base model**: HelloKKMe/GTA1-7B
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 77
- **Stars**: 0
- **Last updated**: 2025-09-22

Source: https://www.modelscope.cn/models/mlx-community/GTA1-7B-4bit

---

This model is covnert by mlx_vlm from [HelloKKMe/GTA1-7B](https://huggingface.co/HelloKKMe/GTA1-7B).

## Model Description
GTA1-7B is a SOTA GUI grounding model, trained based on UI-TARS-1.5-7B for GUI agent tasks. It establishes state-of-the-art performance across diverse benchmarks, achieves 50.1%, 92.4%, and 67.7% accuracies on Screenspot-Pro, Screenspot-V2, and OSWorld-G benchmarks.

| **Model**         | **Size** | **Open Source** | **ScreenSpot-V2** | **ScreenSpotPro** | **OSWORLD-G** |
|-------------------|:--------:|:---------------:|:-----------------:|:-----------------:|:-----------------:|
| OpenAI CUA        | —        | ❌              | 87.9              | 23.4              |        —          |
| Claude 3.7        | —        | ❌              | 87.6              | 27.7              |        —          | 
| JEDI-7B           | 7B       | ✅              | 91.7              | 39.5              | 54.1              |
| SE-GUI            | 7B       | ✅              | 90.3              | 47.0              |        —          |
| UI-TARS           | 7B       | ✅              | 91.6              | 35.7              | 47.5              |
| UI-TARS-1.5*       | 7B       | ✅              | 89.7*                 | 42.0*              |  64.2* | 
| UGround-v1-7B     | 7B       | ✅              |  —                | 31.1              |   36.4        |
| Qwen2.5-VL-32B-Instruct | 32B | ✅              |  91.9*                | 48.0              |        59.6*      |    |
| UGround-v1-72B    | 72B      | ✅              |  —                | 34.5              |        —          |
| Qwen2.5-VL-72B-Instruct | 72B | ✅              |  94.00*                | 53.3              |        62.2*          |
| UI-TARS           | 72B      | ✅              | 90.3              | 38.1              |        —          |
| GTA1 (Ours)              | 7B       | ✅              | 92.4 <sub>*(∆ +2.7)*</sub>             | 50.1<sub>*(∆ +8.1)*</sub>              | 67.7 <sub>*(∆ +3.5)*</sub>              |
| GTA1 (Ours)              | 32B      | ✅              | 93.2 <sub>*(∆ +1.3)*</sub>             | 53.6 <sub>*(∆ +5.6)*</sub>             |        61.9<sub>*(∆ +2.3)*</sub>          |
| GTA1 (Ours)              | 72B      | ✅              | 94.8<sub>*(∆ +0.8)*</sub>              | 58.4 <sub>*(∆ +5.1)*</sub>             |        66.7<sub>*(∆ +4.5)*</sub>          |


> **Note:**  
> - The base models of GTA1-32B/72B are Qwen2.5-VL-32B/72-Instruct.


## Quick Start
```shell
mlx_vlm.generate --model mlx-community/GTA1-7B-4bit \
  --max-tokens 1024 \
  --temperature 0.0 \
  --prompt "List all contacts’ names and their corresponding grounding boxes([x1, y1, x2, y2]) from the left sidebar of the IM chat interface, return the results in JSON format." \
  --image https://wechat.qpic.cn/uploads/2016/05/WeChat-Windows-2.11.jpg
```