---
base_model:
- Qwen/Qwen3-8B
tags:
- text-generation-inference
- transformers
- qwen3
- ui-generation
- tailwind-css
- html
language:
- en
---

# UIGEN-T3 — Advanced UI Generation with Hybrid Reasoning

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

---

<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](https://uigenoutput.tesslate.com)

---

**Join our Discord:** [https://discord.gg/GNbWAeJ4](https://discord.gg/GNbWAeJ4)
**Our Website:** [https://tesslate.com](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.

---

## 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.

---

## 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.

---

## Inference Parameters

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

| Parameter   | Value |
| :---------- | :---- |
| Temperature | 0.6   |
| Top P       | 0.95  |
| Top K       | 20    |
| Max Tokens  | 40k+  |

---

## 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.

---

## 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`

---

## Use Cases

| Use Case                | Description                                                                 |
| :---------------------- | :-------------------------------------------------------------------------- |
| **Startup MVPs**        | Quickly scaffold UIs from scratch with clean code.                          |
| **Design-to-Code Transfer** | Figma (coming soon) → Code generation.                                      |
| **Component Libraries** | Build buttons, cards, navbars, and export at scale.                         |
| **Internal Tool Builders** | Create admin panels, dashboards, and layout templates.                      |
| **Rapid Client Prototypes** | Save time on mockups with production-ready HTML+Tailwind outputs.           |

---

## Limitations

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

---

## Roadmap

| Milestone                   | Status |
| :-------------------------- | :----- |
| Launch Tesslate Designer    | 2 days |
| Figma convert               |        |
| Bootstrap & JS logic        |        |
| GRPO fine-tuning            |        |
| 4B draft model release      | Now    |

---

## Technical Requirements

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

---

## Community & Contribution

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

---

## Citation

```bibtex
@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}
}