README.md

---
base_model:
- Qwen/Qwen3-8B
tags:
- text-generation-inference
- transformers
- qwen3
- ui-generation
- tailwind-css
- html
- reasoning
- step-by-step-generation
- hybrid-thinking
- tool-calling
license: apache-2.0
language:
- en
---

# <span style="color: #7FFF7F;">UIGEN-X-8B GGUF Models</span>


## <span style="color: #7F7FFF;">Model Generation Details</span>

This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`c82d48ec`](https://github.com/ggerganov/llama.cpp/commit/c82d48ec23fb8749c341d0838f6891fd5f6b6da0).





---

## <span style="color: #7FFF7F;">Quantization Beyond the IMatrix</span>

I've been experimenting with a new quantization approach that selectively elevates the precision of key layers beyond what the default IMatrix configuration provides.

In my testing, standard IMatrix quantization underperforms at lower bit depths, especially with Mixture of Experts (MoE) models. To address this, I'm using the `--tensor-type` option in `llama.cpp` to manually "bump" important layers to higher precision. You can see the implementation here:  
👉 [Layer bumping with llama.cpp](https://github.com/Mungert69/GGUFModelBuilder/blob/main/model-converter/tensor_list_builder.py)

While this does increase model file size, it significantly improves precision for a given quantization level.

### **I'd love your feedback—have you tried this? How does it perform for you?**




---

<a href="https://readyforquantum.com/huggingface_gguf_selection_guide.html" style="color: #7FFF7F;">
  Click here to get info on choosing the right GGUF model format
</a>

---



<!--Begin Original Model Card-->




# UIGEN-X-8B Hybrid Reasoning UI Generation Model


![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-C7uzKoh8rxQKj_x1QpbB.png)

> Tesslate's hybrid reasoning UI generation model built on Qwen3-8B architecture. Trained to systematically plan, architect, and implement complete user interfaces across modern development stacks.

**Live Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)  
**Discord Community**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)  
**Website**: [https://tesslate.com](https://tesslate.com)

---

## Model Architecture

UIGEN-X-8B implements **hybrid reasoning** from the Qwen3 family - combining systematic planning with direct implementation. The model follows a structured thinking process:

1. **Problem Analysis** — Understanding requirements and constraints
2. **Architecture Planning** — Component structure and technology decisions  
3. **Design System Definition** — Color schemes, typography, and styling approach
4. **Implementation Strategy** — Step-by-step code generation with reasoning

This hybrid approach enables both thoughtful planning and efficient code generation, making it suitable for complex UI development tasks.

---

## Complete Technology Coverage

UIGEN-X-8B supports **26 major categories** spanning **frameworks and libraries** across **7 platforms**:

### Web Frameworks
- **React**: Next.js, Remix, Gatsby, Create React App, Vite
- **Vue**: Nuxt.js, Quasar, Gridsome
- **Angular**: Angular CLI, Ionic Angular
- **Svelte**: SvelteKit, Astro
- **Modern**: Solid.js, Qwik, Alpine.js
- **Static**: Astro, 11ty, Jekyll, Hugo

### Styling Systems
- **Utility-First**: Tailwind CSS, UnoCSS, Windi CSS
- **CSS-in-JS**: Styled Components, Emotion, Stitches
- **Component Systems**: Material-UI, Chakra UI, Mantine
- **Traditional**: Bootstrap, Bulma, Foundation
- **Design Systems**: Carbon Design, IBM Design Language
- **Framework-Specific**: Angular Material, Vuetify, Quasar

### UI Component Libraries
- **React**: shadcn/ui, Material-UI, Ant Design, Chakra UI, Mantine, PrimeReact, Headless UI, NextUI, DaisyUI
- **Vue**: Vuetify, PrimeVue, Quasar, Element Plus, Naive UI
- **Angular**: Angular Material, PrimeNG, ng-bootstrap, Clarity Design
- **Svelte**: Svelte Material UI, Carbon Components Svelte
- **Headless**: Radix UI, Reach UI, Ariakit, React Aria

### State Management
- **React**: Redux Toolkit, Zustand, Jotai, Valtio, Context API
- **Vue**: Pinia, Vuex, Composables
- **Angular**: NgRx, Akita, Services
- **Universal**: MobX, XState, Recoil

### Animation Libraries 
- **React**: Framer Motion, React Spring, React Transition Group
- **Vue**: Vue Transition, Vueuse Motion
- **Universal**: GSAP, Lottie, CSS Animations, Web Animations API
- **Mobile**: React Native Reanimated, Expo Animations

### Icon Systems 
Lucide, Heroicons, Material Icons, Font Awesome, Ant Design Icons, Bootstrap Icons, Ionicons, Tabler Icons, Feather, Phosphor, React Icons, Vue Icons

---

## Platform Support

### Web Development
Complete coverage of modern web development from simple HTML/CSS to complex enterprise applications.

### Mobile Development
- **React Native**: Expo, CLI, with navigation and state management
- **Flutter**: Cross-platform mobile with Material and Cupertino designs
- **Ionic**: Angular, React, and Vue-based hybrid applications

### Desktop Applications
- **Electron**: Cross-platform desktop apps (Slack, VSCode-style)
- **Tauri**: Rust-based lightweight desktop applications
- **Flutter Desktop**: Native desktop performance

### Python Applications
- **Web UI**: Streamlit, Gradio, Flask, FastAPI
- **Desktop GUI**: Tkinter, PyQt5/6, Kivy, wxPython, Dear PyGui

### Development Tools
Build tools, bundlers, testing frameworks, and development environments.

---

## Programming Language Support

**26 Languages and Approaches**:
JavaScript, TypeScript, Python, Dart, HTML5, CSS3, SCSS, SASS, Less, PostCSS, CSS Modules, Styled Components, JSX, TSX, Vue SFC, Svelte Components, Angular Templates, Tailwind, PHP

---

## Visual Style System

UIGEN-X-8B includes **21 distinct visual style categories** that can be applied to any framework:

### Modern Design Styles
- **Glassmorphism**: Frosted glass effects with blur and transparency
- **Neumorphism**: Soft, extruded design elements
- **Material Design**: Google's design system principles
- **Fluent Design**: Microsoft's design language

### Traditional & Classic
- **Skeuomorphism**: Real-world object representations
- **Swiss Design**: Clean typography and grid systems
- **Bauhaus**: Functional, geometric design principles

### Contemporary Trends
- **Brutalism**: Bold, raw, unconventional layouts
- **Anti-Design**: Intentionally imperfect, organic aesthetics
- **Minimalism**: Essential elements only, generous whitespace

### Thematic Styles
- **Cyberpunk**: Neon colors, glitch effects, futuristic elements
- **Dark Mode**: High contrast, reduced eye strain
- **Retro-Futurism**: 80s/90s inspired futuristic design
- **Geocities/90s Web**: Nostalgic early web aesthetics

### Experimental
- **Maximalism**: Rich, layered, abundant visual elements
- **Madness/Experimental**: Unconventional, boundary-pushing designs
- **Abstract Shapes**: Geometric, non-representational elements

---

## Prompt Structure Guide

### Basic Structure
To achieve the best results, use this prompting structure below: 
```
[Action] + [UI Type] + [Framework Stack] + [Specific Features] + [Optional: Style]
```

### Examples

**Simple Component**:
```
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menu
```

**Complex Application**:
```
Build a complete e-commerce dashboard using Next.js + TypeScript + Tailwind CSS + shadcn/ui with:
- Product management (CRUD operations)
- Order tracking with status updates  
- Customer analytics with charts
- Responsive design for mobile/desktop
- Dark mode toggle
Style: Use a clean, modern glassmorphism aesthetic
```

**Framework-Specific**:
```
Design an Angular Material admin panel with:
- Sidenav with expandable menu items
- Data tables with sorting and filtering
- Form validation with reactive forms
- Charts using ng2-charts
- SCSS custom theming
```

### Advanced Prompt Techniques

**Multi-Page Applications**:
```
Create a complete SaaS application using Vue 3 + Nuxt 3 + Tailwind CSS + Pinia:

Pages needed:
1. Landing page with hero, features, pricing
2. Dashboard with metrics and quick actions
3. Settings page with user preferences
4. Billing page with subscription management

Include: Navigation between pages, state management, responsive design
Style: Professional, modern with subtle animations
```

**Style Mixing**:
```
Build a portfolio website using Svelte + SvelteKit + Tailwind CSS combining:
- Minimalist layout principles
- Cyberpunk color scheme (neon accents)
- Smooth animations for page transitions
- Typography-driven content sections
```

---

## Tool Calling & Agentic Usage

UIGEN-X-8B supports **function calling** for dynamic asset integration and enhanced development workflows.

### Image Integration with Unsplash

Register tools for dynamic image fetching:

```json
{
  "type": "function",
  "function": {
    "name": "fetch_unsplash_image",
    "description": "Fetch high-quality images from Unsplash for UI mockups",
    "parameters": {
      "type": "object",
      "properties": {
        "query": {
          "type": "string", 
          "description": "Search term for image (e.g., 'modern office', 'technology', 'nature')"
        },
        "orientation": {
          "type": "string",
          "enum": ["landscape", "portrait", "squarish"],
          "description": "Image orientation"
        },
        "size": {
          "type": "string",
          "enum": ["small", "regular", "full"],
          "description": "Image size"
        }
      },
      "required": ["query"]
    }
  }
}
```

### Content Generation Tools

```json
{
  "type": "function", 
  "function": {
    "name": "generate_content",
    "description": "Generate realistic content for UI components",
    "parameters": {
      "type": "object",
      "properties": {
        "type": {
          "type": "string",
          "enum": ["user_profiles", "product_data", "blog_posts", "testimonials"],
          "description": "Type of content to generate"
        },
        "count": {
          "type": "integer",
          "description": "Number of items to generate"
        },
        "theme": {
          "type": "string", 
          "description": "Content theme or industry"
        }
      },
      "required": ["type", "count"]
    }
  }
}
```

### Complete Agentic Workflow Example

```python
# 1. Plan the application
response = model.chat([
    {"role": "user", "content": "Plan a complete travel booking website using React + Next.js + Tailwind CSS + shadcn/ui"}
], tools=[fetch_unsplash_image, generate_content])

# 2. The model will reason through the requirements and call tools:
# - fetch_unsplash_image(query="travel destinations", orientation="landscape") 
# - generate_content(type="destinations", count=10, theme="popular travel")
# - fetch_unsplash_image(query="hotel rooms", orientation="landscape")

# 3. Generate complete implementation with real assets
final_response = model.chat([
    {"role": "user", "content": "Now implement the complete website with the fetched images and content"}
])
```

### Tool Integration Patterns

**Dynamic Asset Loading**:
- Fetch relevant images during UI generation
- Generate realistic content for components
- Create cohesive color palettes from images
- Optimize assets for web performance

**Multi-Step Development**:
- Plan application architecture
- Generate individual components  
- Integrate components into pages
- Apply consistent styling and theming
- Test responsive behavior

**Content-Aware Design**:
- Adapt layouts based on content types
- Optimize typography for readability
- Create responsive image galleries
- Generate accessible alt text

---

## Inference Configuration

### Optimal Parameters
```python
{
    "temperature": 0.6,         # Balanced creativity and consistency (make it lower if quantized!!!!)
    "top_p": 0.9,               # Nucleus sampling for quality
    "top_k": 40,                # Vocabulary restriction
    "max_tokens": 25000,         # Full component generation
    "repetition_penalty": 1.1,  # Avoid repetitive patterns
}
```

---

## Use Cases & Applications

### Rapid Prototyping
- Quick mockups for client presentations
- A/B testing different design approaches
- Concept validation with interactive prototypes

### Production Development
- Component library creation
- Design system implementation
- Template and boilerplate generation

### Educational & Learning
- Teaching modern web development
- Framework comparison and evaluation
- Best practices demonstration

### Enterprise Solutions
- Dashboard and admin panel generation
- Internal tool development
- Legacy system modernization

---

## Technical Requirements

### Hardware
- **GPU**: 8GB+ VRAM recommended (RTX 3080/4070 or equivalent)
- **RAM**: 16GB system memory minimum
- **Storage**: 20GB for model weights and cache

### Software
- **Python**: 3.8+ with transformers, torch, unsloth
- **Node.js**: For running generated JavaScript/TypeScript code
- **Browser**: Modern browser for testing generated UIs

### Integration
- Compatible with HuggingFace transformers
- Supports GGML/GGUF quantization
- Works with text-generation-webui
- API-ready for production deployment

---

## Limitations & Considerations

- **Token Usage**: Reasoning process increases token consumption
- **Complex Logic**: Focuses on UI structure rather than business logic
- **Real-time Features**: Generated code requires backend integration
- **Testing**: Output may need manual testing and refinement
- **Accessibility**: While ARIA-aware, manual a11y testing recommended

---

## Community & Support

**Discord**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)  
**Website**: [https://tesslate.com](https://tesslate.com)  
**Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)

Join our community to share creations, get help, and contribute to the ecosystem.

---

## Citation

```bibtex
@misc{tesslate_uigen_x_2025,
  title={UIGEN-X-8B: Hybrid Reasoning UI Generation with Qwen3},
  author={Tesslate Team},
  year={2025},
  publisher={Tesslate},
  url={https://huggingface.co/tesslate/UIGEN-X-8B}
}
```

---


<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ZhW150gEhg0lkXoSjkiiU.png" alt="UI Screenshot 1" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/NdxVu6Zv6beigOYjbKCl1.png" alt="UI Screenshot 2" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RX8po_paCIxrrcTvZ3xfA.png" alt="UI Screenshot 3" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/DBssA7zan39uxy9HQOo5N.png" alt="UI Screenshot 4" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ttljEdBcYh1tkmyrCUQku.png" alt="UI Screenshot 5" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/duLxNQAuqv1FPVlsmQsWr.png" alt="UI Screenshot 6" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ja2nhpNrvucf_zwCARXxa.png" alt="UI Screenshot 7" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ca0f_8U9HQdaSVAejpzPn.png" alt="UI Screenshot 8" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gzZF2CiOjyEbPAPRYSV-N.png" alt="UI Screenshot 9" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/y8wB78PffUUoVLzw3al2R.png" alt="UI Screenshot 10" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/M12dGr0xArAIF7gANSC5T.png" alt="UI Screenshot 11" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/t7r7cYlUwmI1QQf3fxO7o.png" alt="UI Screenshot 12" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-uCIIJqTrrY9xkJHKCEqC.png" alt="UI Screenshot 13" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/eqT3IUWaPtoNQb-IWQNuy.png" alt="UI Screenshot 14" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RhbGMcxCNlMIXRLEacUGi.png" alt="UI Screenshot 15" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/FWhs43BKkXku12MwiW0v9.png" alt="UI Screenshot 16" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/ILHx-xcn18cyDLX5a63xV.png" alt="UIGEN-X UI Screenshot 1" width="400">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/A-zKo1J4HYftjiOjq_GB4.png" alt="UIGEN-X UI Screenshot 2" width="400">


*Built with hybrid reasoning capabilities from Qwen3, UIGEN-X-8B represents a comprehensive approach to AI-driven UI development across the entire modern web development ecosystem.*

<!--End Original Model Card-->

---

# <span id="testllm" style="color: #7F7FFF;">🚀 If you find these models useful</span>

Help me test my **AI-Powered Quantum Network Monitor Assistant** with **quantum-ready security checks**:  

👉 [Quantum Network Monitor](https://readyforquantum.com/?assistant=open&utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme)  


The full Open Source Code for the Quantum Network Monitor Service available at my github repos ( repos with NetworkMonitor in the name) : [Source Code Quantum Network Monitor](https://github.com/Mungert69). You will also find the code I use to quantize the models if you want to do it yourself [GGUFModelBuilder](https://github.com/Mungert69/GGUFModelBuilder)

💬 **How to test**:  
 Choose an **AI assistant type**:  
   - `TurboLLM` (GPT-4.1-mini)  
   - `HugLLM` (Hugginface Open-source models)  
   - `TestLLM` (Experimental CPU-only)  

### **What I’m Testing**  
I’m pushing the limits of **small open-source models for AI network monitoring**, specifically:  
- **Function calling** against live network services  
- **How small can a model go** while still handling:  
  - Automated **Nmap security scans**  
  - **Quantum-readiness checks**  
  - **Network Monitoring tasks**  

🟡 **TestLLM** – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space):  
- ✅ **Zero-configuration setup**  
- ⏳ 30s load time (slow inference but **no API costs**) . No token limited as the cost is low.
- 🔧 **Help wanted!** If you’re into **edge-device AI**, let’s collaborate!  

### **Other Assistants**  
🟢 **TurboLLM** – Uses **gpt-4.1-mini** :
- **It performs very well but unfortunatly OpenAI charges per token. For this reason tokens usage is limited. 
- **Create custom cmd processors to run .net code on Quantum Network Monitor Agents**
- **Real-time network diagnostics and monitoring**
- **Security Audits**
- **Penetration testing** (Nmap/Metasploit)  

🔵 **HugLLM** – Latest Open-source models:  
- 🌐 Runs on Hugging Face Inference API. Performs pretty well using the lastest models hosted on Novita.

### 💡 **Example commands you could test**:  
1. `"Give me info on my websites SSL certificate"`  
2. `"Check if my server is using quantum safe encyption for communication"`  
3. `"Run a comprehensive security audit on my server"`
4. '"Create a cmd processor to .. (what ever you want)" Note you need to install a [Quantum Network Monitor Agent](https://readyforquantum.com/Download/?utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) to run the .net code on. This is a very flexible and powerful feature. Use with caution!

### Final Word

I fund the servers used to create these model files, run the Quantum Network Monitor service, and pay for inference from Novita and OpenAI—all out of my own pocket. All the code behind the model creation and the Quantum Network Monitor project is [open source](https://github.com/Mungert69). Feel free to use whatever you find helpful.

If you appreciate the work, please consider [buying me a coffee](https://www.buymeacoffee.com/mahadeva) ☕. Your support helps cover service costs and allows me to raise token limits for everyone.

I'm also open to job opportunities or sponsorship.

Thank you! 😊