Downloads · 30 days
14
25% of all-time downloads
GTA1-7B-AWQ
flin775/GTA1-7B-AWQ
GTA1-7B-AWQ is a machine learning model from flin775. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is covnert from HelloKKMe/GTA1-7B by AutoAwq.
All-time downloads
56
Public
Parameters
8.3B
6.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.9 GB · 100%
Parameter types
How the weights are stored.
I326.5B · 79%
Base models
Model card
From the Hugging Face model README
This model is covnert from HelloKKMe/GTA1-7B by AutoAwq.
Model Description
GTA1-7B is an agent-grounding model that achieves state-of-the-art performance across a variety of GUI benchmarks.
Paper: GTA1: GUI Test-time Scaling Agent
Github: https://github.com/Yan98/GTA1
| 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:
- Model size is indicated in billions (B) of parameters.
- A dash (—) denotes results that are currently unavailable.
- A superscript asterisk (﹡) denotes our evaluated result.
- UI-TARS-1.5 7B, Qwen2.5-VL-32B-Instruct, and Qwen2.5-VL-72B-Instruct are applied as our baseline models.
- ∆ indicates the performance improvement (∆) of our model compared to its baseline.
- Type
- qwen2_5_vl
- License
- apache-2.0
- Created
- Sep 26, 2025
- Updated
- Sep 27, 2025