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+ ---
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+ base_model:
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+ - Qwen/Qwen3-32B
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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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+ - reasoning
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+ - step-by-step-generation
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+ - hybrid-thinking
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+ - tool-calling
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+ license: apache-2.0
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+ language:
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+ - en
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+ ---
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+
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+ # <span style="color: #7FFF7F;">UIGEN-X-32B-0727 GGUF Models</span>
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+
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+
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+ ## <span style="color: #7F7FFF;">Model Generation Details</span>
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+
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+ This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`4cb208c9`](https://github.com/ggerganov/llama.cpp/commit/4cb208c93c1c938591a5b40354e2a6f9b94489bc).
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+
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+
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+
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+
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+
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+ ---
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+
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+ ## <span style="color: #7FFF7F;">Quantization Beyond the IMatrix</span>
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+
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+ I've been experimenting with a new quantization approach that selectively elevates the precision of key layers beyond what the default IMatrix configuration provides.
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+
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+ 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:
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+ 👉 [Layer bumping with llama.cpp](https://github.com/Mungert69/GGUFModelBuilder/blob/main/model-converter/tensor_list_builder.py)
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+
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+ While this does increase model file size, it significantly improves precision for a given quantization level.
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+
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+ ### **I'd love your feedback—have you tried this? How does it perform for you?**
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+
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+
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+
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+
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+ ---
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+
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+ <a href="https://readyforquantum.com/huggingface_gguf_selection_guide.html" style="color: #7FFF7F;">
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+ Click here to get info on choosing the right GGUF model format
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+ </a>
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+
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+ ---
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+
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+
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+
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+ <!--Begin Original Model Card-->
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+
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+
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+
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+
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+ # UIGEN-X-32B-0727 Reasoning Only UI Generation Model
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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-C7uzKoh8rxQKj_x1QpbB.png)
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+
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+ > Tesslate's Reasoning Only UI generation model built on Qwen3-32B architecture. Trained to systematically plan, architect, and implement complete user interfaces across modern development stacks.
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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/WxPvegx82dFLiWpgLLfIS.png)
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/sd4TlO0yZ7-xM7lWwDShi.png)
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/YhS0eaOuAJx-JjyiFMO0-.png)
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/VkkkoSeCzqlFzMxIPDQfC.png)
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+
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+ **Live Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
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+ **Discord Community**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)
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+ **Website**: [https://tesslate.com](https://tesslate.com)
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+
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+ ---
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+
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+ ## Model Architecture
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+
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+ UIGEN-X-32B-0727 implements **Reasoning Only** from the Qwen3 family - combining systematic planning with direct implementation. The model follows a structured thinking process:
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+
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+ 1. **Problem Analysis** — Understanding requirements and constraints
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+ 2. **Architecture Planning** — Component structure and technology decisions
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+ 3. **Design System Definition** — Color schemes, typography, and styling approach
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+ 4. **Implementation Strategy** — Step-by-step code generation with reasoning
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+
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+ This hybrid approach enables both thoughtful planning and efficient code generation, making it suitable for complex UI development tasks.
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+
95
+ ---
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+
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+ ## Complete Technology Coverage
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+
99
+ UIGEN-X-32B-0727 supports **26 major categories** spanning **frameworks and libraries** across **7 platforms**:
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+
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+ ### Web Frameworks
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+ - **React**: Next.js, Remix, Gatsby, Create React App, Vite
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+ - **Vue**: Nuxt.js, Quasar, Gridsome
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+ - **Angular**: Angular CLI, Ionic Angular
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+ - **Svelte**: SvelteKit, Astro
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+ - **Modern**: Solid.js, Qwik, Alpine.js
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+ - **Static**: Astro, 11ty, Jekyll, Hugo
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+
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+ ### Styling Systems
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+ - **Utility-First**: Tailwind CSS, UnoCSS, Windi CSS
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+ - **CSS-in-JS**: Styled Components, Emotion, Stitches
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+ - **Component Systems**: Material-UI, Chakra UI, Mantine
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+ - **Traditional**: Bootstrap, Bulma, Foundation
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+ - **Design Systems**: Carbon Design, IBM Design Language
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+ - **Framework-Specific**: Angular Material, Vuetify, Quasar
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+
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+ ### UI Component Libraries
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+ - **React**: shadcn/ui, Material-UI, Ant Design, Chakra UI, Mantine, PrimeReact, Headless UI, NextUI, DaisyUI
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+ - **Vue**: Vuetify, PrimeVue, Quasar, Element Plus, Naive UI
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+ - **Angular**: Angular Material, PrimeNG, ng-bootstrap, Clarity Design
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+ - **Svelte**: Svelte Material UI, Carbon Components Svelte
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+ - **Headless**: Radix UI, Reach UI, Ariakit, React Aria
123
+
124
+ ### State Management
125
+ - **React**: Redux Toolkit, Zustand, Jotai, Valtio, Context API
126
+ - **Vue**: Pinia, Vuex, Composables
127
+ - **Angular**: NgRx, Akita, Services
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+ - **Universal**: MobX, XState, Recoil
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+
130
+ ### Animation Libraries
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+ - **React**: Framer Motion, React Spring, React Transition Group
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+ - **Vue**: Vue Transition, Vueuse Motion
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+ - **Universal**: GSAP, Lottie, CSS Animations, Web Animations API
134
+ - **Mobile**: React Native Reanimated, Expo Animations
135
+
136
+ ### Icon Systems
137
+ Lucide, Heroicons, Material Icons, Font Awesome, Ant Design Icons, Bootstrap Icons, Ionicons, Tabler Icons, Feather, Phosphor, React Icons, Vue Icons
138
+
139
+ ---
140
+
141
+ ## Platform Support
142
+
143
+ ### Web Development
144
+ Complete coverage of modern web development from simple HTML/CSS to complex enterprise applications.
145
+
146
+ ### Mobile Development
147
+ - **React Native**: Expo, CLI, with navigation and state management
148
+ - **Flutter**: Cross-platform mobile with Material and Cupertino designs
149
+ - **Ionic**: Angular, React, and Vue-based hybrid applications
150
+
151
+ ### Desktop Applications
152
+ - **Electron**: Cross-platform desktop apps (Slack, VSCode-style)
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+ - **Tauri**: Rust-based lightweight desktop applications
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+ - **Flutter Desktop**: Native desktop performance
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+
156
+ ### Python Applications
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+ - **Web UI**: Streamlit, Gradio, Flask, FastAPI
158
+ - **Desktop GUI**: Tkinter, PyQt5/6, Kivy, wxPython, Dear PyGui
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+
160
+ ### Development Tools
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+ Build tools, bundlers, testing frameworks, and development environments.
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+
163
+ ---
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+
165
+ ## Programming Language Support
166
+
167
+ **26 Languages and Approaches**:
168
+ JavaScript, TypeScript, Python, Dart, HTML5, CSS3, SCSS, SASS, Less, PostCSS, CSS Modules, Styled Components, JSX, TSX, Vue SFC, Svelte Components, Angular Templates, Tailwind, PHP
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+
170
+ ---
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+
172
+ ## Visual Style System
173
+
174
+ UIGEN-X-32B-0727 includes **21 distinct visual style categories** that can be applied to any framework:
175
+
176
+ ### Modern Design Styles
177
+ - **Glassmorphism**: Frosted glass effects with blur and transparency
178
+ - **Neumorphism**: Soft, extruded design elements
179
+ - **Material Design**: Google's design system principles
180
+ - **Fluent Design**: Microsoft's design language
181
+
182
+ ### Traditional & Classic
183
+ - **Skeuomorphism**: Real-world object representations
184
+ - **Swiss Design**: Clean typography and grid systems
185
+ - **Bauhaus**: Functional, geometric design principles
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+
187
+ ### Contemporary Trends
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+ - **Brutalism**: Bold, raw, unconventional layouts
189
+ - **Anti-Design**: Intentionally imperfect, organic aesthetics
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+ - **Minimalism**: Essential elements only, generous whitespace
191
+
192
+ ### Thematic Styles
193
+ - **Cyberpunk**: Neon colors, glitch effects, futuristic elements
194
+ - **Dark Mode**: High contrast, reduced eye strain
195
+ - **Retro-Futurism**: 80s/90s inspired futuristic design
196
+ - **Geocities/90s Web**: Nostalgic early web aesthetics
197
+
198
+ ### Experimental
199
+ - **Maximalism**: Rich, layered, abundant visual elements
200
+ - **Madness/Experimental**: Unconventional, boundary-pushing designs
201
+ - **Abstract Shapes**: Geometric, non-representational elements
202
+
203
+ ---
204
+
205
+ ## Prompt Structure Guide
206
+
207
+ ### Basic Structure
208
+ To achieve the best results, use this prompting structure below:
209
+ ```
210
+ [Action] + [UI Type] + [Framework Stack] + [Specific Features] + [Optional: Style]
211
+ ```
212
+
213
+ ### Examples
214
+
215
+ **Simple Component**:
216
+ ```
217
+ Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menu
218
+ ```
219
+
220
+ **Complex Application**:
221
+ ```
222
+ Build a complete e-commerce dashboard using Next.js + TypeScript + Tailwind CSS + shadcn/ui with:
223
+ - Product management (CRUD operations)
224
+ - Order tracking with status updates
225
+ - Customer analytics with charts
226
+ - Responsive design for mobile/desktop
227
+ - Dark mode toggle
228
+ Style: Use a clean, modern glassmorphism aesthetic
229
+ ```
230
+
231
+ **Framework-Specific**:
232
+ ```
233
+ Design an Angular Material admin panel with:
234
+ - Sidenav with expandable menu items
235
+ - Data tables with sorting and filtering
236
+ - Form validation with reactive forms
237
+ - Charts using ng2-charts
238
+ - SCSS custom theming
239
+ ```
240
+
241
+ ### Advanced Prompt Techniques
242
+
243
+ **Multi-Page Applications**:
244
+ ```
245
+ Create a complete SaaS application using Vue 3 + Nuxt 3 + Tailwind CSS + Pinia:
246
+
247
+ Pages needed:
248
+ 1. Landing page with hero, features, pricing
249
+ 2. Dashboard with metrics and quick actions
250
+ 3. Settings page with user preferences
251
+ 4. Billing page with subscription management
252
+
253
+ Include: Navigation between pages, state management, responsive design
254
+ Style: Professional, modern with subtle animations
255
+ ```
256
+
257
+ **Style Mixing**:
258
+ ```
259
+ Build a portfolio website using Svelte + SvelteKit + Tailwind CSS combining:
260
+ - Minimalist layout principles
261
+ - Cyberpunk color scheme (neon accents)
262
+ - Smooth animations for page transitions
263
+ - Typography-driven content sections
264
+ ```
265
+
266
+ ---
267
+
268
+ ## Tool Calling & Agentic Usage
269
+
270
+ UIGEN-X-32B-0727 supports **function calling** for dynamic asset integration and enhanced development workflows.
271
+
272
+ ### Image Integration with Unsplash
273
+
274
+ Register tools for dynamic image fetching:
275
+
276
+ ```json
277
+ {
278
+ "type": "function",
279
+ "function": {
280
+ "name": "fetch_unsplash_image",
281
+ "description": "Fetch high-quality images from Unsplash for UI mockups",
282
+ "parameters": {
283
+ "type": "object",
284
+ "properties": {
285
+ "query": {
286
+ "type": "string",
287
+ "description": "Search term for image (e.g., 'modern office', 'technology', 'nature')"
288
+ },
289
+ "orientation": {
290
+ "type": "string",
291
+ "enum": ["landscape", "portrait", "squarish"],
292
+ "description": "Image orientation"
293
+ },
294
+ "size": {
295
+ "type": "string",
296
+ "enum": ["small", "regular", "full"],
297
+ "description": "Image size"
298
+ }
299
+ },
300
+ "required": ["query"]
301
+ }
302
+ }
303
+ }
304
+ ```
305
+
306
+ ### Content Generation Tools
307
+
308
+ ```json
309
+ {
310
+ "type": "function",
311
+ "function": {
312
+ "name": "generate_content",
313
+ "description": "Generate realistic content for UI components",
314
+ "parameters": {
315
+ "type": "object",
316
+ "properties": {
317
+ "type": {
318
+ "type": "string",
319
+ "enum": ["user_profiles", "product_data", "blog_posts", "testimonials"],
320
+ "description": "Type of content to generate"
321
+ },
322
+ "count": {
323
+ "type": "integer",
324
+ "description": "Number of items to generate"
325
+ },
326
+ "theme": {
327
+ "type": "string",
328
+ "description": "Content theme or industry"
329
+ }
330
+ },
331
+ "required": ["type", "count"]
332
+ }
333
+ }
334
+ }
335
+ ```
336
+
337
+ ### Complete Agentic Workflow Example
338
+
339
+ ```python
340
+ # 1. Plan the application
341
+ response = model.chat([
342
+ {"role": "user", "content": "Plan a complete travel booking website using React + Next.js + Tailwind CSS + shadcn/ui"}
343
+ ], tools=[fetch_unsplash_image, generate_content])
344
+
345
+ # 2. The model will reason through the requirements and call tools:
346
+ # - fetch_unsplash_image(query="travel destinations", orientation="landscape")
347
+ # - generate_content(type="destinations", count=10, theme="popular travel")
348
+ # - fetch_unsplash_image(query="hotel rooms", orientation="landscape")
349
+
350
+ # 3. Generate complete implementation with real assets
351
+ final_response = model.chat([
352
+ {"role": "user", "content": "Now implement the complete website with the fetched images and content"}
353
+ ])
354
+ ```
355
+
356
+ ### Tool Integration Patterns
357
+
358
+ **Dynamic Asset Loading**:
359
+ - Fetch relevant images during UI generation
360
+ - Generate realistic content for components
361
+ - Create cohesive color palettes from images
362
+ - Optimize assets for web performance
363
+
364
+ **Multi-Step Development**:
365
+ - Plan application architecture
366
+ - Generate individual components
367
+ - Integrate components into pages
368
+ - Apply consistent styling and theming
369
+ - Test responsive behavior
370
+
371
+ **Content-Aware Design**:
372
+ - Adapt layouts based on content types
373
+ - Optimize typography for readability
374
+ - Create responsive image galleries
375
+ - Generate accessible alt text
376
+
377
+ ---
378
+
379
+ ## Inference Configuration
380
+
381
+ ### Optimal Parameters
382
+ ```python
383
+ {
384
+ "temperature": 0.6, # Balanced creativity and consistency (make it lower if quantized!!!!)
385
+ "top_p": 0.9, # Nucleus sampling for quality
386
+ "top_k": 40, # Vocabulary restriction
387
+ "max_tokens": 25000, # Full component generation
388
+ "repetition_penalty": 1.1, # Avoid repetitive patterns
389
+ }
390
+ ```
391
+
392
+ ---
393
+
394
+ ## Use Cases & Applications
395
+
396
+ ### Rapid Prototyping
397
+ - Quick mockups for client presentations
398
+ - A/B testing different design approaches
399
+ - Concept validation with interactive prototypes
400
+
401
+ ### Production Development
402
+ - Component library creation
403
+ - Design system implementation
404
+ - Template and boilerplate generation
405
+
406
+ ### Educational & Learning
407
+ - Teaching modern web development
408
+ - Framework comparison and evaluation
409
+ - Best practices demonstration
410
+
411
+ ### Enterprise Solutions
412
+ - Dashboard and admin panel generation
413
+ - Internal tool development
414
+ - Legacy system modernization
415
+
416
+ ---
417
+
418
+ ## Technical Requirements
419
+
420
+ ### Hardware
421
+ - **GPU**: 8GB+ VRAM recommended (RTX 3080/4070 or equivalent)
422
+ - **RAM**: 16GB system memory minimum
423
+ - **Storage**: 20GB for model weights and cache
424
+
425
+ ### Software
426
+ - **Python**: 3.8+ with transformers, torch, unsloth
427
+ - **Node.js**: For running generated JavaScript/TypeScript code
428
+ - **Browser**: Modern browser for testing generated UIs
429
+
430
+ ### Integration
431
+ - Compatible with HuggingFace transformers
432
+ - Supports GGML/GGUF quantization
433
+ - Works with text-generation-webui
434
+ - API-ready for production deployment
435
+
436
+ ---
437
+
438
+ ## Limitations & Considerations
439
+
440
+ - **Token Usage**: Reasoning process increases token consumption
441
+ - **Complex Logic**: Focuses on UI structure rather than business logic
442
+ - **Real-time Features**: Generated code requires backend integration
443
+ - **Testing**: Output may need manual testing and refinement
444
+ - **Accessibility**: While ARIA-aware, manual a11y testing recommended
445
+
446
+ ---
447
+
448
+ ## Community & Support
449
+
450
+ **Discord**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)
451
+ **Website**: [https://tesslate.com](https://tesslate.com)
452
+ **Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
453
+
454
+ Join our community to share creations, get help, and contribute to the ecosystem.
455
+
456
+ ---
457
+
458
+ ## Citation
459
+
460
+ ```bibtex
461
+ @misc{tesslate_uigen_x_2025,
462
+ title={UIGEN-X-32B-0727: Reasoning Only UI Generation with Qwen3},
463
+ author={Tesslate Team},
464
+ year={2025},
465
+ publisher={Tesslate},
466
+ url={https://huggingface.co/tesslate/UIGEN-X-32B-0727}
467
+ }
468
+ ```
469
+
470
+ ---
471
+
472
+
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+
474
+
475
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ZhW150gEhg0lkXoSjkiiU.png" alt="UI Screenshot 1" width="400">
476
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/NdxVu6Zv6beigOYjbKCl1.png" alt="UI Screenshot 2" width="400">
477
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RX8po_paCIxrrcTvZ3xfA.png" alt="UI Screenshot 3" width="400">
478
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/DBssA7zan39uxy9HQOo5N.png" alt="UI Screenshot 4" width="400">
479
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ttljEdBcYh1tkmyrCUQku.png" alt="UI Screenshot 5" width="400">
480
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/duLxNQAuqv1FPVlsmQsWr.png" alt="UI Screenshot 6" width="400">
481
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ja2nhpNrvucf_zwCARXxa.png" alt="UI Screenshot 7" width="400">
482
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ca0f_8U9HQdaSVAejpzPn.png" alt="UI Screenshot 8" width="400">
483
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gzZF2CiOjyEbPAPRYSV-N.png" alt="UI Screenshot 9" width="400">
484
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/y8wB78PffUUoVLzw3al2R.png" alt="UI Screenshot 10" width="400">
485
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/M12dGr0xArAIF7gANSC5T.png" alt="UI Screenshot 11" width="400">
486
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/t7r7cYlUwmI1QQf3fxO7o.png" alt="UI Screenshot 12" width="400">
487
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-uCIIJqTrrY9xkJHKCEqC.png" alt="UI Screenshot 13" width="400">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/eqT3IUWaPtoNQb-IWQNuy.png" alt="UI Screenshot 14" width="400">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RhbGMcxCNlMIXRLEacUGi.png" alt="UI Screenshot 15" width="400">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/FWhs43BKkXku12MwiW0v9.png" alt="UI Screenshot 16" width="400">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/ILHx-xcn18cyDLX5a63xV.png" alt="UIGEN-X UI Screenshot 1" width="400">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/A-zKo1J4HYftjiOjq_GB4.png" alt="UIGEN-X UI Screenshot 2" width="400">
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+
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+
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+ *Built with Reasoning Only capabilities from Qwen3, UIGEN-X-32B-0727 represents a comprehensive approach to AI-driven UI development across the entire modern web development ecosystem.*
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+
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+ <!--End Original Model Card-->
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+
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+ ---
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+
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+ # <span id="testllm" style="color: #7F7FFF;">🚀 If you find these models useful</span>
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+
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+ Help me test my **AI-Powered Quantum Network Monitor Assistant** with **quantum-ready security checks**:
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+
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+ 👉 [Quantum Network Monitor](https://readyforquantum.com/?assistant=open&utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme)
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+
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+
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+ 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)
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+
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+ 💬 **How to test**:
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+ Choose an **AI assistant type**:
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+ - `TurboLLM` (GPT-4.1-mini)
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+ - `HugLLM` (Hugginface Open-source models)
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+ - `TestLLM` (Experimental CPU-only)
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+
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+ ### **What I’m Testing**
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+ I’m pushing the limits of **small open-source models for AI network monitoring**, specifically:
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+ - **Function calling** against live network services
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+ - **How small can a model go** while still handling:
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+ - Automated **Nmap security scans**
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+ - **Quantum-readiness checks**
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+ - **Network Monitoring tasks**
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+
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+ 🟡 **TestLLM** – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space):
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+ - ✅ **Zero-configuration setup**
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+ - ⏳ 30s load time (slow inference but **no API costs**) . No token limited as the cost is low.
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+ - 🔧 **Help wanted!** If you’re into **edge-device AI**, let’s collaborate!
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+
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+ ### **Other Assistants**
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+ 🟢 **TurboLLM** – Uses **gpt-4.1-mini** :
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+ - **It performs very well but unfortunatly OpenAI charges per token. For this reason tokens usage is limited.
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+ - **Create custom cmd processors to run .net code on Quantum Network Monitor Agents**
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+ - **Real-time network diagnostics and monitoring**
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+ - **Security Audits**
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+ - **Penetration testing** (Nmap/Metasploit)
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+
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+ 🔵 **HugLLM** – Latest Open-source models:
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+ - 🌐 Runs on Hugging Face Inference API. Performs pretty well using the lastest models hosted on Novita.
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+
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+ ### 💡 **Example commands you could test**:
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+ 1. `"Give me info on my websites SSL certificate"`
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+ 2. `"Check if my server is using quantum safe encyption for communication"`
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+ 3. `"Run a comprehensive security audit on my server"`
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+ 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!
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+
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+ ### Final Word
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+
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+ 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.
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+
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+ 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.
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+
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+ I'm also open to job opportunities or sponsorship.
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+
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+ Thank you! 😊