Image-Text-to-Text
Transformers
Safetensors
English
Chinese
text-generation
GUI
GUI-Grounding
Vision-language
multimodal
conversational
custom_code
Instructions to use tencent/POINTS-GUI-G with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/POINTS-GUI-G with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="tencent/POINTS-GUI-G", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tencent/POINTS-GUI-G", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tencent/POINTS-GUI-G with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tencent/POINTS-GUI-G" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/POINTS-GUI-G", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/tencent/POINTS-GUI-G
- SGLang
How to use tencent/POINTS-GUI-G with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "tencent/POINTS-GUI-G" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/POINTS-GUI-G", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "tencent/POINTS-GUI-G" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/POINTS-GUI-G", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use tencent/POINTS-GUI-G with Docker Model Runner:
docker model run hf.co/tencent/POINTS-GUI-G
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README.md
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<a href="https://github.com/Tencent/POINTS-GUI">
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<img src="https://img.shields.io/badge/GitHub-Code-blue.svg?logo=github&" alt="GitHub Code">
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</a>
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<a href="
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<img src="https://img.shields.io/badge/Paper-POINTS--GUI--G-d4333f?logo=arxiv&logoColor=white&colorA=cccccc&colorB=d4333f&style=flat" alt="Paper">
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</a>
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<a href="https://komarev.com/ghpvc/?username=tencent&repo=POINTS-GUI&color=brightgreen&label=Views" alt="view">
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If you use this model in your work, please cite the following paper:
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```
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@inproceedings{liu2025points,
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title={POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion},
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author={Liu, Yuan and Zhao, Zhongyin and Tian, Le and Wang, Haicheng and Ye, Xubing and You, Yangxiu and Yu, Zilin and Wu, Chuhan and Xiao, Zhou and Yu, Yang and others},
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<a href="https://github.com/Tencent/POINTS-GUI">
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<img src="https://img.shields.io/badge/GitHub-Code-blue.svg?logo=github&" alt="GitHub Code">
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</a>
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<a href="https://huggingface.co/papers/2602.06391">
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<img src="https://img.shields.io/badge/Paper-POINTS--GUI--G-d4333f?logo=arxiv&logoColor=white&colorA=cccccc&colorB=d4333f&style=flat" alt="Paper">
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</a>
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<a href="https://komarev.com/ghpvc/?username=tencent&repo=POINTS-GUI&color=brightgreen&label=Views" alt="view">
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If you use this model in your work, please cite the following paper:
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```
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@article{zhao2026pointsguigguigroundingjourney,
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title = {POINTS-GUI-G: GUI-Grounding Journey},
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author = {Zhao, Zhongyin and Liu, Yuan and Liu, Yikun and Wang, Haicheng and Tian, Le and Zhou, Xiao and You, Yangxiu and Yu, Zilin and Yu, Yang and Zhou, Jie},
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journal = {arXiv preprint arXiv:2602.06391},
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year = {2026}
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}
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@inproceedings{liu2025points,
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title={POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion},
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author={Liu, Yuan and Zhao, Zhongyin and Tian, Le and Wang, Haicheng and Ye, Xubing and You, Yangxiu and Yu, Zilin and Wu, Chuhan and Xiao, Zhou and Yu, Yang and others},
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