GUI-RD-9B

This is the GUI-RD checkpoint for Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding.

GUI-RD stands for GUI Reliable Distillation. The checkpoint corresponds to the paper main setting: failed-token gate 0.5, scaling coefficient 3, and teacher top1-probability scaling enabled.

• Paper: https://arxiv.org/abs/2606.18101
• Hugging Face paper page: https://huggingface.co/papers/2606.18101
• Code: https://github.com/HarveyYellow/GUI-RD

Intended Use

This model is intended for GUI grounding research and evaluation. It takes a GUI screenshot and a natural-language instruction, then predicts the target screen coordinate.

Loading

from transformers import AutoModelForMultimodalLM, AutoProcessor
import torch

model_id = "JingyuanHuang/GUI-RD-9B"
processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForMultimodalLM.from_pretrained(
 model_id,
 dtype=torch.bfloat16,
 device_map="auto",
 trust_remote_code=True,
)

Depending on your installed Transformers version, the concrete auto-model class for Qwen3.5 may differ. For older Transformers releases, use torch_dtype=torch.bfloat16 instead of dtype=torch.bfloat16. The repository provides standard Transformers config, tokenizer, processor, and safetensors weights.

Citation

@misc{huang2026trustrightteacherqualityaware,
 title={Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding},
 author={Jingyuan Huang and Zuming Huang and Yucheng Shi and Tianze Yang and Xiaoming Zhai and Wei Chu and Ninghao Liu},
 year={2026},
 eprint={2606.18101},
 archivePrefix={arXiv},
 primaryClass={cs.AI},
 url={https://arxiv.org/abs/2606.18101},
}

Base model