UIGEN-X-32B-0727
110
157
32.0B
1 language
license:apache-2.0
by
Tesslate
Language Model
OTHER
32B params
New
110 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
72GB+ RAM
Mobile
Laptop
Server
Quick Summary
UIGEN-X-32B-0727 Reasoning Only UI Generation Model > Tesslate's Reasoning Only UI generation model built on Qwen3-32B architecture.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
30GB+ RAM
Code Examples
Examplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
Create a navigation bar using React + Tailwind CSS with logo, menu items, and mobile hamburger menuExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticExamplestext
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 aestheticComplete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Complete Agentic Workflow Examplepython
# 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"}
])Deploy This Model
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