---
license: apache-2.0
datasets:
- TIGER-Lab/BrowserAgent-SFT-Data
language:
- en
base_model:
- Qwen/Qwen2.5-7B-Instruct
metrics:
- success_rate
- trajectory_f1
tags:
- agent
- browser
- web
- sft
---

## Model
We release the **SFT (Supervised Fine-Tuned)** model used in **BrowserAgent**, based on `Qwen/Qwen2.5-7B-Instruct`.  
This model learns structured web-browsing behaviors—such as **click, type, scroll, read, submit**—from human-style demonstrations and produces **schema-constrained action sequences** for browser environments.

## Paper
[BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions](https://arxiv.org/abs/2510.10666)

## Project Page
<https://tiger-ai-lab.github.io/BrowserAgent/>

## Code
<https://github.com/TIGER-AI-Lab/BrowserAgent>

## Sample Usage
```bash
hf download TIGER-Lab/BrowserAgent-SFT --local-dir ./models/browseragent-sft --repo model
```

## Citation
```bibtex
@misc{yu2025browseragentbuildingwebagents,
      title={BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions}, 
      author={Tao Yu and Zhengbo Zhang and Zhiheng Lyu and Junhao Gong and Hongzhu Yi and Xinming Wang and Yuxuan Zhou and Jiabing Yang and Ping Nie and Yan Huang and Wenhu Chen},
      year={2025},
      eprint={2510.10666},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.10666}, 
}
```