UIGEN-T3-8B-Preview-GGUF

QuantFactory/UIGEN-T3-8B-Preview-GGUF

This is quantized version of Tesslate/UIGEN-T3-8B-Preview created using llama.cpp

Original Model Card

UIGEN-T3 — Advanced UI Generation with Hybrid Reasoning

Tesslate’s next-gen UI model, built for thoughtful design.

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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/fqZE717ubrgSpAOHeMEeQ.png" alt="UIGEN-T3 UI Screenshot 1" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/N5gfKRD-j9JAeMoGy7O3K.png" alt="UIGEN-T3 UI Screenshot 2" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/PDGXycDkVsxFRxqHc6TKD.png" alt="UIGEN-T3 UI Screenshot 2" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/Q4CHYYcDAN60NFjIPVQnH.png" alt="UIGEN-T3 UI Screenshot 3" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ePZoCA8lS4Y1KdkchrTlQ.png" alt="UIGEN-T3 UI Screenshot 4" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/BU-Pk2moNsTOGuYF1XuRx.png" alt="UIGEN-T3 UI Screenshot 5" width="500"> <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gz5ub0lDpS-hhw1MB7e07.png" alt="UIGEN-T3 UI Screenshot 6" width="500">

Demos

Explore New UI generations: 📂 https://uigenoutput.tesslate.com

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Join our Discord: https://discord.gg/GNbWAeJ4 Our Website: https://tesslate.com

Quick Information

• UI generation model built on Qwen3 architecture
• Supports both components and full web pages
• Hybrid reasoning system: Use /think or /no_think modes
• Powered by UIGenEval, a first-of-its-kind benchmark for UI generation
• Released for research, non-commercial use. If you want to use it commercially, please contact us for a pilot program.

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Model Details

• Base Model: Qwen/Qwen3-8B
• Reasoning Style: Hybrid (/think and /no_think)
• Tokenizer: Qwen default, with design token headers
• Output: Components + Full pages (with <html>, <head>)
• Images: User-supplied or placehold.co – no images in the dataset due to licensing concerns.
• License: Research only (non-commercial). Contact us for enterprise use cases.

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Reasoning System

UIGEN-T3 was trained using a pre/post reasoning model architecture.

You can explicitly control the reasoning mode:

• /think → Enables guided reasoning with layout analysis and heuristics.
• /no_think → Faster, raw code generation.

Outputs also include design tokens at the top of each generation for easier site-wide customization.

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Inference Parameters

Please use 20k context length to get the best results if using reasoning.

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Evaluation: UIGenEval Framework

UIGenEval is our internal evaluation suite, designed to bridge the gap between creative output and quality assurance. (Learn more in our upcoming paper: "UIGenEval: Bridging the Evaluation Gap in AI-Driven UI Generation" - August, 2025)

UIGenEval evaluates models across four pillars:

1. Technical Quality — Clean HTML, CSS structure, semantic accuracy.
2. Prompt Adherence — Feature completeness and fidelity to instructions.
3. Interaction Behavior — Dynamic logic hooks and functional interactivity.
4. Responsive Design — Multi-viewport performance via Lighthouse, Axe-core, and custom scripts.

This comprehensive framework directly informs our GRPO reward functions for the next release.

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Example Prompts to Try

• make a google drive clone
• build a figma-style canvas with toolbar
• create a modern pricing page with three plans
• generate a mobile-first recipe sharing app layout

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Use Cases

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Limitations

• No Bootstrap support (planned).
• Not suited for production use — research-only license.
• Responsive tuning varies across output complexity.

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Roadmap

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Technical Requirements

• GPU: ≥16GB VRAM for 8B inference on GGUF.
• Libraries: transformers, torch, peft.
• Compatible with Hugging Face inference APIs and local generation pipelines.

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Community & Contribution

• Join our Discord: https://discord.gg/GNbWAeJ4
• Chat about AI, design, or model training.
• Want to contribute UIs or feedback? Let’s talk!

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Citation

@misc{tesslate_UIGEN-T3,
  title={UIGEN-T3: Hybrid Reasoning for Robust UI Generation on Qwen3},
  author={Tesslate Team},
  year={2025},
  publisher={Tesslate},
  note={Non-commercial Research License},
  url={https://huggingface.co/tesslate/UIGEN-T3}
}