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README.md ADDED
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+ ---
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+ base_model:
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+ - Qwen/Qwen3-8B
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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-8B 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 [`c82d48ec`](https://github.com/ggerganov/llama.cpp/commit/c82d48ec23fb8749c341d0838f6891fd5f6b6da0).
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+
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+
28
+
29
+
30
+
31
+ ---
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+
33
+ ## <span style="color: #7FFF7F;">Quantization Beyond the IMatrix</span>
34
+
35
+ 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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+
37
+ 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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+
47
+ ---
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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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+
53
+ ---
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+
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+
56
+
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+ <!--Begin Original Model Card-->
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+
59
+
60
+
61
+
62
+ # UIGEN-X-8B Hybrid Reasoning UI Generation Model
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+
64
+
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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 hybrid reasoning UI generation model built on Qwen3-8B architecture. Trained to systematically plan, architect, and implement complete user interfaces across modern development stacks.
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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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+
73
+ ---
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+
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+ ## Model Architecture
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+
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+ UIGEN-X-8B implements **hybrid reasoning** 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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+
84
+ This hybrid approach enables both thoughtful planning and efficient code generation, making it suitable for complex UI development tasks.
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+
86
+ ---
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+
88
+ ## Complete Technology Coverage
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+
90
+ UIGEN-X-8B 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
95
+ - **Angular**: Angular CLI, Ionic Angular
96
+ - **Svelte**: SvelteKit, Astro
97
+ - **Modern**: Solid.js, Qwik, Alpine.js
98
+ - **Static**: Astro, 11ty, Jekyll, Hugo
99
+
100
+ ### Styling Systems
101
+ - **Utility-First**: Tailwind CSS, UnoCSS, Windi CSS
102
+ - **CSS-in-JS**: Styled Components, Emotion, Stitches
103
+ - **Component Systems**: Material-UI, Chakra UI, Mantine
104
+ - **Traditional**: Bootstrap, Bulma, Foundation
105
+ - **Design Systems**: Carbon Design, IBM Design Language
106
+ - **Framework-Specific**: Angular Material, Vuetify, Quasar
107
+
108
+ ### UI Component Libraries
109
+ - **React**: shadcn/ui, Material-UI, Ant Design, Chakra UI, Mantine, PrimeReact, Headless UI, NextUI, DaisyUI
110
+ - **Vue**: Vuetify, PrimeVue, Quasar, Element Plus, Naive UI
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+ - **Angular**: Angular Material, PrimeNG, ng-bootstrap, Clarity Design
112
+ - **Svelte**: Svelte Material UI, Carbon Components Svelte
113
+ - **Headless**: Radix UI, Reach UI, Ariakit, React Aria
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+
115
+ ### State Management
116
+ - **React**: Redux Toolkit, Zustand, Jotai, Valtio, Context API
117
+ - **Vue**: Pinia, Vuex, Composables
118
+ - **Angular**: NgRx, Akita, Services
119
+ - **Universal**: MobX, XState, Recoil
120
+
121
+ ### Animation Libraries
122
+ - **React**: Framer Motion, React Spring, React Transition Group
123
+ - **Vue**: Vue Transition, Vueuse Motion
124
+ - **Universal**: GSAP, Lottie, CSS Animations, Web Animations API
125
+ - **Mobile**: React Native Reanimated, Expo Animations
126
+
127
+ ### Icon Systems
128
+ Lucide, Heroicons, Material Icons, Font Awesome, Ant Design Icons, Bootstrap Icons, Ionicons, Tabler Icons, Feather, Phosphor, React Icons, Vue Icons
129
+
130
+ ---
131
+
132
+ ## Platform Support
133
+
134
+ ### Web Development
135
+ Complete coverage of modern web development from simple HTML/CSS to complex enterprise applications.
136
+
137
+ ### Mobile Development
138
+ - **React Native**: Expo, CLI, with navigation and state management
139
+ - **Flutter**: Cross-platform mobile with Material and Cupertino designs
140
+ - **Ionic**: Angular, React, and Vue-based hybrid applications
141
+
142
+ ### Desktop Applications
143
+ - **Electron**: Cross-platform desktop apps (Slack, VSCode-style)
144
+ - **Tauri**: Rust-based lightweight desktop applications
145
+ - **Flutter Desktop**: Native desktop performance
146
+
147
+ ### Python Applications
148
+ - **Web UI**: Streamlit, Gradio, Flask, FastAPI
149
+ - **Desktop GUI**: Tkinter, PyQt5/6, Kivy, wxPython, Dear PyGui
150
+
151
+ ### Development Tools
152
+ Build tools, bundlers, testing frameworks, and development environments.
153
+
154
+ ---
155
+
156
+ ## Programming Language Support
157
+
158
+ **26 Languages and Approaches**:
159
+ JavaScript, TypeScript, Python, Dart, HTML5, CSS3, SCSS, SASS, Less, PostCSS, CSS Modules, Styled Components, JSX, TSX, Vue SFC, Svelte Components, Angular Templates, Tailwind, PHP
160
+
161
+ ---
162
+
163
+ ## Visual Style System
164
+
165
+ UIGEN-X-8B includes **21 distinct visual style categories** that can be applied to any framework:
166
+
167
+ ### Modern Design Styles
168
+ - **Glassmorphism**: Frosted glass effects with blur and transparency
169
+ - **Neumorphism**: Soft, extruded design elements
170
+ - **Material Design**: Google's design system principles
171
+ - **Fluent Design**: Microsoft's design language
172
+
173
+ ### Traditional & Classic
174
+ - **Skeuomorphism**: Real-world object representations
175
+ - **Swiss Design**: Clean typography and grid systems
176
+ - **Bauhaus**: Functional, geometric design principles
177
+
178
+ ### Contemporary Trends
179
+ - **Brutalism**: Bold, raw, unconventional layouts
180
+ - **Anti-Design**: Intentionally imperfect, organic aesthetics
181
+ - **Minimalism**: Essential elements only, generous whitespace
182
+
183
+ ### Thematic Styles
184
+ - **Cyberpunk**: Neon colors, glitch effects, futuristic elements
185
+ - **Dark Mode**: High contrast, reduced eye strain
186
+ - **Retro-Futurism**: 80s/90s inspired futuristic design
187
+ - **Geocities/90s Web**: Nostalgic early web aesthetics
188
+
189
+ ### Experimental
190
+ - **Maximalism**: Rich, layered, abundant visual elements
191
+ - **Madness/Experimental**: Unconventional, boundary-pushing designs
192
+ - **Abstract Shapes**: Geometric, non-representational elements
193
+
194
+ ---
195
+
196
+ ## Prompt Structure Guide
197
+
198
+ ### Basic Structure
199
+ To achieve the best results, use this prompting structure below:
200
+ ```
201
+ [Action] + [UI Type] + [Framework Stack] + [Specific Features] + [Optional: Style]
202
+ ```
203
+
204
+ ### Examples
205
+
206
+ **Simple Component**:
207
+ ```
208
+ Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menu
209
+ ```
210
+
211
+ **Complex Application**:
212
+ ```
213
+ Build a complete e-commerce dashboard using Next.js + TypeScript + Tailwind CSS + shadcn/ui with:
214
+ - Product management (CRUD operations)
215
+ - Order tracking with status updates
216
+ - Customer analytics with charts
217
+ - Responsive design for mobile/desktop
218
+ - Dark mode toggle
219
+ Style: Use a clean, modern glassmorphism aesthetic
220
+ ```
221
+
222
+ **Framework-Specific**:
223
+ ```
224
+ Design an Angular Material admin panel with:
225
+ - Sidenav with expandable menu items
226
+ - Data tables with sorting and filtering
227
+ - Form validation with reactive forms
228
+ - Charts using ng2-charts
229
+ - SCSS custom theming
230
+ ```
231
+
232
+ ### Advanced Prompt Techniques
233
+
234
+ **Multi-Page Applications**:
235
+ ```
236
+ Create a complete SaaS application using Vue 3 + Nuxt 3 + Tailwind CSS + Pinia:
237
+
238
+ Pages needed:
239
+ 1. Landing page with hero, features, pricing
240
+ 2. Dashboard with metrics and quick actions
241
+ 3. Settings page with user preferences
242
+ 4. Billing page with subscription management
243
+
244
+ Include: Navigation between pages, state management, responsive design
245
+ Style: Professional, modern with subtle animations
246
+ ```
247
+
248
+ **Style Mixing**:
249
+ ```
250
+ Build a portfolio website using Svelte + SvelteKit + Tailwind CSS combining:
251
+ - Minimalist layout principles
252
+ - Cyberpunk color scheme (neon accents)
253
+ - Smooth animations for page transitions
254
+ - Typography-driven content sections
255
+ ```
256
+
257
+ ---
258
+
259
+ ## Tool Calling & Agentic Usage
260
+
261
+ UIGEN-X-8B supports **function calling** for dynamic asset integration and enhanced development workflows.
262
+
263
+ ### Image Integration with Unsplash
264
+
265
+ Register tools for dynamic image fetching:
266
+
267
+ ```json
268
+ {
269
+ "type": "function",
270
+ "function": {
271
+ "name": "fetch_unsplash_image",
272
+ "description": "Fetch high-quality images from Unsplash for UI mockups",
273
+ "parameters": {
274
+ "type": "object",
275
+ "properties": {
276
+ "query": {
277
+ "type": "string",
278
+ "description": "Search term for image (e.g., 'modern office', 'technology', 'nature')"
279
+ },
280
+ "orientation": {
281
+ "type": "string",
282
+ "enum": ["landscape", "portrait", "squarish"],
283
+ "description": "Image orientation"
284
+ },
285
+ "size": {
286
+ "type": "string",
287
+ "enum": ["small", "regular", "full"],
288
+ "description": "Image size"
289
+ }
290
+ },
291
+ "required": ["query"]
292
+ }
293
+ }
294
+ }
295
+ ```
296
+
297
+ ### Content Generation Tools
298
+
299
+ ```json
300
+ {
301
+ "type": "function",
302
+ "function": {
303
+ "name": "generate_content",
304
+ "description": "Generate realistic content for UI components",
305
+ "parameters": {
306
+ "type": "object",
307
+ "properties": {
308
+ "type": {
309
+ "type": "string",
310
+ "enum": ["user_profiles", "product_data", "blog_posts", "testimonials"],
311
+ "description": "Type of content to generate"
312
+ },
313
+ "count": {
314
+ "type": "integer",
315
+ "description": "Number of items to generate"
316
+ },
317
+ "theme": {
318
+ "type": "string",
319
+ "description": "Content theme or industry"
320
+ }
321
+ },
322
+ "required": ["type", "count"]
323
+ }
324
+ }
325
+ }
326
+ ```
327
+
328
+ ### Complete Agentic Workflow Example
329
+
330
+ ```python
331
+ # 1. Plan the application
332
+ response = model.chat([
333
+ {"role": "user", "content": "Plan a complete travel booking website using React + Next.js + Tailwind CSS + shadcn/ui"}
334
+ ], tools=[fetch_unsplash_image, generate_content])
335
+
336
+ # 2. The model will reason through the requirements and call tools:
337
+ # - fetch_unsplash_image(query="travel destinations", orientation="landscape")
338
+ # - generate_content(type="destinations", count=10, theme="popular travel")
339
+ # - fetch_unsplash_image(query="hotel rooms", orientation="landscape")
340
+
341
+ # 3. Generate complete implementation with real assets
342
+ final_response = model.chat([
343
+ {"role": "user", "content": "Now implement the complete website with the fetched images and content"}
344
+ ])
345
+ ```
346
+
347
+ ### Tool Integration Patterns
348
+
349
+ **Dynamic Asset Loading**:
350
+ - Fetch relevant images during UI generation
351
+ - Generate realistic content for components
352
+ - Create cohesive color palettes from images
353
+ - Optimize assets for web performance
354
+
355
+ **Multi-Step Development**:
356
+ - Plan application architecture
357
+ - Generate individual components
358
+ - Integrate components into pages
359
+ - Apply consistent styling and theming
360
+ - Test responsive behavior
361
+
362
+ **Content-Aware Design**:
363
+ - Adapt layouts based on content types
364
+ - Optimize typography for readability
365
+ - Create responsive image galleries
366
+ - Generate accessible alt text
367
+
368
+ ---
369
+
370
+ ## Inference Configuration
371
+
372
+ ### Optimal Parameters
373
+ ```python
374
+ {
375
+ "temperature": 0.6, # Balanced creativity and consistency (make it lower if quantized!!!!)
376
+ "top_p": 0.9, # Nucleus sampling for quality
377
+ "top_k": 40, # Vocabulary restriction
378
+ "max_tokens": 25000, # Full component generation
379
+ "repetition_penalty": 1.1, # Avoid repetitive patterns
380
+ }
381
+ ```
382
+
383
+ ---
384
+
385
+ ## Use Cases & Applications
386
+
387
+ ### Rapid Prototyping
388
+ - Quick mockups for client presentations
389
+ - A/B testing different design approaches
390
+ - Concept validation with interactive prototypes
391
+
392
+ ### Production Development
393
+ - Component library creation
394
+ - Design system implementation
395
+ - Template and boilerplate generation
396
+
397
+ ### Educational & Learning
398
+ - Teaching modern web development
399
+ - Framework comparison and evaluation
400
+ - Best practices demonstration
401
+
402
+ ### Enterprise Solutions
403
+ - Dashboard and admin panel generation
404
+ - Internal tool development
405
+ - Legacy system modernization
406
+
407
+ ---
408
+
409
+ ## Technical Requirements
410
+
411
+ ### Hardware
412
+ - **GPU**: 8GB+ VRAM recommended (RTX 3080/4070 or equivalent)
413
+ - **RAM**: 16GB system memory minimum
414
+ - **Storage**: 20GB for model weights and cache
415
+
416
+ ### Software
417
+ - **Python**: 3.8+ with transformers, torch, unsloth
418
+ - **Node.js**: For running generated JavaScript/TypeScript code
419
+ - **Browser**: Modern browser for testing generated UIs
420
+
421
+ ### Integration
422
+ - Compatible with HuggingFace transformers
423
+ - Supports GGML/GGUF quantization
424
+ - Works with text-generation-webui
425
+ - API-ready for production deployment
426
+
427
+ ---
428
+
429
+ ## Limitations & Considerations
430
+
431
+ - **Token Usage**: Reasoning process increases token consumption
432
+ - **Complex Logic**: Focuses on UI structure rather than business logic
433
+ - **Real-time Features**: Generated code requires backend integration
434
+ - **Testing**: Output may need manual testing and refinement
435
+ - **Accessibility**: While ARIA-aware, manual a11y testing recommended
436
+
437
+ ---
438
+
439
+ ## Community & Support
440
+
441
+ **Discord**: [https://discord.gg/EcCpcTv93U](https://discord.gg/EcCpcTv93U)
442
+ **Website**: [https://tesslate.com](https://tesslate.com)
443
+ **Examples**: [https://uigenoutput.tesslate.com](https://uigenoutput.tesslate.com)
444
+
445
+ Join our community to share creations, get help, and contribute to the ecosystem.
446
+
447
+ ---
448
+
449
+ ## Citation
450
+
451
+ ```bibtex
452
+ @misc{tesslate_uigen_x_2025,
453
+ title={UIGEN-X-8B: Hybrid Reasoning UI Generation with Qwen3},
454
+ author={Tesslate Team},
455
+ year={2025},
456
+ publisher={Tesslate},
457
+ url={https://huggingface.co/tesslate/UIGEN-X-8B}
458
+ }
459
+ ```
460
+
461
+ ---
462
+
463
+
464
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ZhW150gEhg0lkXoSjkiiU.png" alt="UI Screenshot 1" width="400">
465
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/NdxVu6Zv6beigOYjbKCl1.png" alt="UI Screenshot 2" width="400">
466
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RX8po_paCIxrrcTvZ3xfA.png" alt="UI Screenshot 3" width="400">
467
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/DBssA7zan39uxy9HQOo5N.png" alt="UI Screenshot 4" width="400">
468
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ttljEdBcYh1tkmyrCUQku.png" alt="UI Screenshot 5" width="400">
469
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/duLxNQAuqv1FPVlsmQsWr.png" alt="UI Screenshot 6" width="400">
470
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ja2nhpNrvucf_zwCARXxa.png" alt="UI Screenshot 7" width="400">
471
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/ca0f_8U9HQdaSVAejpzPn.png" alt="UI Screenshot 8" width="400">
472
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/gzZF2CiOjyEbPAPRYSV-N.png" alt="UI Screenshot 9" width="400">
473
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/y8wB78PffUUoVLzw3al2R.png" alt="UI Screenshot 10" width="400">
474
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/M12dGr0xArAIF7gANSC5T.png" alt="UI Screenshot 11" width="400">
475
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/t7r7cYlUwmI1QQf3fxO7o.png" alt="UI Screenshot 12" width="400">
476
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/-uCIIJqTrrY9xkJHKCEqC.png" alt="UI Screenshot 13" width="400">
477
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/eqT3IUWaPtoNQb-IWQNuy.png" alt="UI Screenshot 14" width="400">
478
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/RhbGMcxCNlMIXRLEacUGi.png" alt="UI Screenshot 15" width="400">
479
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/FWhs43BKkXku12MwiW0v9.png" alt="UI Screenshot 16" width="400">
480
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/ILHx-xcn18cyDLX5a63xV.png" alt="UIGEN-X UI Screenshot 1" width="400">
481
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/67db34a5e7f1d129b294e2af/A-zKo1J4HYftjiOjq_GB4.png" alt="UIGEN-X UI Screenshot 2" width="400">
482
+
483
+
484
+ *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.*
485
+
486
+ <!--End Original Model Card-->
487
+
488
+ ---
489
+
490
+ # <span id="testllm" style="color: #7F7FFF;">🚀 If you find these models useful</span>
491
+
492
+ Help me test my **AI-Powered Quantum Network Monitor Assistant** with **quantum-ready security checks**:
493
+
494
+ 👉 [Quantum Network Monitor](https://readyforquantum.com/?assistant=open&utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme)
495
+
496
+
497
+ 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)
498
+
499
+ 💬 **How to test**:
500
+ Choose an **AI assistant type**:
501
+ - `TurboLLM` (GPT-4.1-mini)
502
+ - `HugLLM` (Hugginface Open-source models)
503
+ - `TestLLM` (Experimental CPU-only)
504
+
505
+ ### **What I’m Testing**
506
+ I’m pushing the limits of **small open-source models for AI network monitoring**, specifically:
507
+ - **Function calling** against live network services
508
+ - **How small can a model go** while still handling:
509
+ - Automated **Nmap security scans**
510
+ - **Quantum-readiness checks**
511
+ - **Network Monitoring tasks**
512
+
513
+ 🟡 **TestLLM** – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space):
514
+ - ✅ **Zero-configuration setup**
515
+ - ⏳ 30s load time (slow inference but **no API costs**) . No token limited as the cost is low.
516
+ - 🔧 **Help wanted!** If you’re into **edge-device AI**, let’s collaborate!
517
+
518
+ ### **Other Assistants**
519
+ 🟢 **TurboLLM** – Uses **gpt-4.1-mini** :
520
+ - **It performs very well but unfortunatly OpenAI charges per token. For this reason tokens usage is limited.
521
+ - **Create custom cmd processors to run .net code on Quantum Network Monitor Agents**
522
+ - **Real-time network diagnostics and monitoring**
523
+ - **Security Audits**
524
+ - **Penetration testing** (Nmap/Metasploit)
525
+
526
+ 🔵 **HugLLM** – Latest Open-source models:
527
+ - 🌐 Runs on Hugging Face Inference API. Performs pretty well using the lastest models hosted on Novita.
528
+
529
+ ### 💡 **Example commands you could test**:
530
+ 1. `"Give me info on my websites SSL certificate"`
531
+ 2. `"Check if my server is using quantum safe encyption for communication"`
532
+ 3. `"Run a comprehensive security audit on my server"`
533
+ 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!
534
+
535
+ ### Final Word
536
+
537
+ 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.
538
+
539
+ 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.
540
+
541
+ I'm also open to job opportunities or sponsorship.
542
+
543
+ Thank you! 😊
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