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Viper OneCoder UIGEN

Developed by prithivMLmods
A web development and structured coding logic model based on the Qwen 2.5 14B architecture, excelling in HTML/CSS/Tailwind development and complex instruction execution.
Downloads 1,389
Release Time : 2/26/2025

Model Overview

Viper-OneCoder-UIGEN is a large language model specialized in web development and structured coding logic. It is fine-tuned with synthetic data to optimize step-by-step logical decomposition and frontend problem-solving, demonstrating outstanding performance in context understanding, structured UI development, and long-text comprehension.

Model Features

Top-Tier Web Development Capabilities
Deep expertise in HTML, CSS, Tailwind, JavaScript, and frontend frameworks
Precision Logic Decomposition
Optimized for structured explanations, component-based UI development, and logic-driven design
Advanced Instruction Following
Accurate responses for structured outputs (e.g., JSON/YAML) and support for 8K+ character long-text generation
Extended Context Handling
Supports 128K character input and 8K character single-output
Multilingual Programming Support
Proficient in web-related technologies across 29+ languages, including HTML/CSS/JavaScript/React/Tailwind/Python

Model Capabilities

Text Generation
HTML/CSS/Tailwind Code Generation
JavaScript Code Generation
React Component Generation
Structured Output (JSON/YAML)
Long-Text Comprehension and Generation
Programming Logic Decomposition
Frontend Problem Solving

Use Cases

Professional Web Development
Responsive Navbar Generation
Create a responsive navbar using Tailwind CSS
Generate complete responsive navbar code
UI Component Optimization
Analyze and optimize existing frontend code
Provide optimized code and improvement suggestions
Progressive Coding Guidance
Programming Tutorials
Offer structured programming methods and best practice guidance
Step-by-step explanations of programming concepts and implementation
Structured Data Processing
UI Component Generation
Automatically generate UI components from JSON data
Generate corresponding UI component code based on input data
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