Tesslate/UIGEN-FX-4B-RL-Preview

UIGEN-FX-4B-RL-Preview: Frontend Engineer-Tuned Web Generation

UIGEN-FX-4B-RL-Preview is a 4 billion parameter model developed by Tesslate, built upon the Qwen/Qwen3-4B-Instruct-2507 base. This model is specifically designed to act as a "Frontend Engineer," focusing on generating high-quality, web-ready user interface code.

Key Capabilities & Differentiators

• Enhanced Visual Polish & Structure: Unlike earlier UIGEN releases, FX prioritizes better visual polish, functional structure, and web-ready markup, aiming to produce cleaner and more complete websites from a single prompt.
• Accessibility & SEO Optimized: The model was trained using A11y, Axe, and Lighthouse scores, leading to improved SEO, accessibility, and reproducibility of generated code.
• Framework Agnostic Output: It is tuned to behave like a frontend engineer across 22 different frameworks, offering versatility in output.
• Efficient & Consistent: Despite its 4B parameter size, it's designed to be small enough for fast iteration on laptops while maintaining strong structural and visual consistency, emphasizing layout rhythm, spacing, and component composition.
• Minimal JavaScript: By default, it generates minimal JavaScript, focusing on semantic HTML and CSS.

Intended Use Cases

• Primary: Generating code for React, Tailwind, Javascript, Static Site generators, and Python Frontend WebUI.
• Secondary: Creating individual component blocks (e.g., hero sections, pricing tables, FAQ accordions) for manual assembly.

Important Considerations

• Research Preview: This is a research preview, and some generations may require refinement for production use. Users are advised to use repeat_penalty or frequency_penalty at values >= 1.1.
• Limitations: While it encourages headings and labels, ARIA coverage may need review. Complex widgets with heavy interactivity might require post-editing as JS is kept minimal unless explicitly requested.