By Andrew Miller 
What Is UI Gen X?
UIGEN-X-32B-0727 is an LLM optimized for front-end UI code generation. Developed by Testlate AI and built on top of Qwen 3, it’s designed to go beyond reactive code completion by planning and reasoning about UI design before generating HTML/CSS/JS output.
This model doesn’t just spit out code — it creates a structured blueprint:
- Analyzes the user’s requirements
- Defines UI architecture and design system
- Outputs clean, componentized code
Key Features of UIGEN-X-32B
| Feature | Details |
|---|---|
| Model Size | 32B parameters (multi-sharded, ~61GB VRAM in full precision) |
| License | Apache 2.0 (commercial use allowed) |
| Reasoning-First Architecture | Structured multi-phase planning before code generation |
| UI Framework Support | React, Next.js, Tailwind, Chakra, Material UI, Flutter, Electron, etc. |
| Style Systems Supported | Glassmorphism, Neomorphism, Cyberpunk, Brutalism |
| Mobile Support | React Native, Expo, Flutter |
| State Management | Zustand, Pinia |
| Animations | Framer Motion, GSAP |
| Icon Libraries | Lucide, Heroicons, Font Awesome, and more |
🖥️ System Requirements
| Requirement | Recommended |
|---|---|
| OS | Ubuntu 20.04+ or WSL2/macOS |
| GPU | 48GB VRAM minimum (e.g., RTX A6000, H100) |
| RAM | 32GB+ system memory |
| Software | Python 3.10+, VLLM, Node.js, npm |
⚙️ Installation Instructions For UIGEN-X-32B
Step 1: Install and Serve with VLLM
pip install vllm
Then run:
python3 -m vllm.entrypoints.openai.api_server \
--model "TestlateAI/UAGX-32B" \
--port 8000
This will download ~14 shards and serve the model via OpenAI-compatible API on localhost:8000.
Step 2: Install the Web UI Client
git clonehttps://github.com/TesslateAI/UIGEN-T2-Artifacts.gitUIGEN-Demo
cd
npm install
If needed, update:
vite.config.jsfor dev settingssrc/app.tsxto add"UAGX-32B"in the models list
Then run:
npm run dev
Access the frontend at http://localhost:5173
Access the model at Huggingface
Prompt Examples and Use Cases
Example 1: Dating App Interface
Prompt:
“Create a modern dating app UI using React and Tailwind. Include profile cards, swipe animation, and a match list.”
✅ Generated a tabbed interface with:
- Reasoned color scheme
- Structured profile components
- React + Tailwind + animations
Example 2: Admin Dashboard (SaaS Analytics)
Prompt:
“Create a responsive analytics dashboard using Next.js and Tailwind. Dark mode, glassmorphism cards, collapsible sidebar.”
🟢 Produced:
- Responsive sidebar layout
- Graph placeholders
- Cards with subtle hover effects
- Accurate Tailwind config
Example 3: React Native Habit Tracker
Prompt:
“Create a habit tracking app in React Native using Expo with tabs: dashboard, calendar, profile.”
⚠️ Code was generated correctly, but preview rendering failed — known issue with complex mobile layouts in current web UI.
🧠 Evaluation of UIGEN-X-32B
| Aspect | Score (1–5) |
|---|---|
| UI Reasoning | 5.0 |
| Code Structure | 4.5 |
| Framework Accuracy | 4.5 |
| Visual Rendering | 4.0 |
| Mobile Support | 3.5 |
| VRAM Efficiency | 3.0 |
🏁 Final Thoughts
UIGen-X-32B-0727 is a powerful tool for developers and product designers who want fast, structured UI generation via LLMs. While it’s not perfect — especially in rendering or mobile UI preview — it saves significant prototyping time and works across modern web technologies.
🏆 Best Use Cases For UIGEN-X-32B
- UI boilerplate generation
- SaaS dashboards
- Marketing landing pages
- React/Next.js prototyping
- Front-end development education