169 lines
6.0 KiB
Markdown
169 lines
6.0 KiB
Markdown
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---
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base_model:
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- Qwen/Qwen3-4B
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tags:
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- text-generation-inference
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- transformers
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- qwen3
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- ui-generation
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- tailwind-css
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- html
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language:
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- en
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---
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# UIGEN-T3 — Advanced UI Generation with Hybrid Reasoning
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> Tesslate’s next-gen UI model, built for thoughtful design.
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---
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/fqZE717ubrgSpAOHeMEeQ.png" alt="UIGEN-T3 UI Screenshot 1" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/N5gfKRD-j9JAeMoGy7O3K.png" alt="UIGEN-T3 UI Screenshot 2" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/PDGXycDkVsxFRxqHc6TKD.png" alt="UIGEN-T3 UI Screenshot 2" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/Q4CHYYcDAN60NFjIPVQnH.png" alt="UIGEN-T3 UI Screenshot 3" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ePZoCA8lS4Y1KdkchrTlQ.png" alt="UIGEN-T3 UI Screenshot 4" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/BU-Pk2moNsTOGuYF1XuRx.png" alt="UIGEN-T3 UI Screenshot 5" width="500">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gz5ub0lDpS-hhw1MB7e07.png" alt="UIGEN-T3 UI Screenshot 6" width="500">
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## Demos
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Explore New UI generations:
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📂 [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
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---
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**Join our Discord:** [https://discord.gg/GNbWAeJ4](https://discord.gg/GNbWAeJ4)
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**Our Website:** [https://tesslate.com](https://tesslate.com)
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## Quick Information
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* **UI generation model** built on **Qwen3 architecture**
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* Supports both **components** and **full web pages**
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* **Hybrid reasoning system**: Use `/think` or `/no_think` modes
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* Powered by **UIGenEval**, a first-of-its-kind benchmark for UI generation
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* Released for **research, non-commercial use.** If you want to use it commercially, please contact us for a pilot program.
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---
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## Model Details
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* **Base Model**: Qwen/Qwen3-4B
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* **Reasoning Style**: Hybrid (`/think` and `/no_think`)
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* **Tokenizer**: Qwen default, with design token headers
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* **Output**: Components + Full pages (with `<html>`, `<head>`)
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* **Images**: User-supplied or placehold.co – no images in the dataset due to licensing concerns.
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* **License**: Research only (non-commercial). Contact us for enterprise use cases.
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---
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## Reasoning System
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UIGEN-T3 was trained using a **pre/post reasoning model architecture**.
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You can explicitly control the reasoning mode:
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* `/think` → Enables guided reasoning with layout analysis and heuristics.
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* `/no_think` → Faster, raw code generation.
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Outputs also include **design tokens** at the top of each generation for easier site-wide customization.
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---
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## Inference Parameters
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Please use 20k context length to get the best results if using reasoning.
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| Parameter | Value |
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| :---------- | :---- |
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| Temperature | 0.6 |
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| Top P | 0.95 |
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| Top K | 20 |
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| Max Tokens | 40k+ |
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---
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## Evaluation: UIGenEval Framework
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**UIGenEval** is our internal evaluation suite, designed to **bridge the gap** between creative output and quality assurance.
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*(Learn more in our upcoming paper: "UIGenEval: Bridging the Evaluation Gap in AI-Driven UI Generation" - August, 2025)*
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UIGenEval evaluates models across four pillars:
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1. **Technical Quality** — Clean HTML, CSS structure, semantic accuracy.
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2. **Prompt Adherence** — Feature completeness and fidelity to instructions.
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3. **Interaction Behavior** — Dynamic logic hooks and functional interactivity.
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4. **Responsive Design** — Multi-viewport performance via Lighthouse, Axe-core, and custom scripts.
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This comprehensive framework directly informs our **GRPO reward functions** for the next release.
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---
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## Example Prompts to Try
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* `make a google drive clone`
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* `build a figma-style canvas with toolbar`
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* `create a modern pricing page with three plans`
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* `generate a mobile-first recipe sharing app layout`
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---
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## Use Cases
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| Use Case | Description |
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| :---------------------- | :-------------------------------------------------------------------------- |
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| **Startup MVPs** | Quickly scaffold UIs from scratch with clean code. |
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| **Design-to-Code Transfer** | Figma (coming soon) → Code generation. |
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| **Component Libraries** | Build buttons, cards, navbars, and export at scale. |
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| **Internal Tool Builders** | Create admin panels, dashboards, and layout templates. |
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| **Rapid Client Prototypes** | Save time on mockups with production-ready HTML+Tailwind outputs. |
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---
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## Limitations
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* No Bootstrap support (planned).
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* Not suited for production use — **research-only license**.
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* Responsive tuning varies across output complexity.
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---
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## Roadmap
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| Milestone | Status |
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| :-------------------------- | :----- |
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| Launch Tesslate Designer | 2 days |
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| Figma convert | |
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| Bootstrap & JS logic | |
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| GRPO fine-tuning | |
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| 4B draft model release | Now |
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---
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## Technical Requirements
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* **GPU**: ~4GB VRAM for 4B inference on GGUF.
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* **Libraries**: `transformers`, `torch`, `peft`.
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* Compatible with Hugging Face inference APIs and local generation pipelines.
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---
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## Community & Contribution
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* **Join our Discord:** [https://discord.gg/GNbWAeJ4](https://discord.gg/GNbWAeJ4)
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* Chat about AI, design, or model training.
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* Want to contribute UIs or feedback? Let’s talk!
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---
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## Citation
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```bibtex
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@misc{tesslate_UIGEN-T3,
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title={UIGEN-T3: Hybrid Reasoning for Robust UI Generation on Qwen3},
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author={Tesslate Team},
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year={2025},
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publisher={Tesslate},
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note={Non-commercial Research License},
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url={https://huggingface.co/tesslate/UIGEN-T3}
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}
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