Tesslate/WEBGEN-4B-Preview

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Sep 2, 2025License:apache-2.0Architecture:Transformer0.1K Open Weights Warm

Tesslate/WEBGEN-4B-Preview is a 4 billion parameter web-only generator built on Qwen/Qwen3-4B-Instruct, designed to convert natural language prompts into clean, responsive HTML/CSS/Tailwind code. This model is optimized for generating complete, single-file websites and component blocks with a strong bias towards semantic HTML, sane spacing, and modern layouts. With an effective context length of approximately 64k tokens, it is small enough for local deployment while maintaining strong structural consistency in its web output.

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WEBGEN-4B-Preview: A Specialized Web Generator

Tesslate's WEBGEN-4B-Preview is a 4 billion parameter model specifically engineered for generating web content. Built upon Qwen/Qwen3-4B-Instruct, this model is fine-tuned to produce production-lean websites, prioritizing semantic HTML, consistent spacing, and modern component blocks like heroes, grids, pricing sections, and FAQs.

Key Capabilities

  • Web-Only Generation: Focuses exclusively on creating complete, single-file websites (landing pages, marketing pages, simple documentation) and reusable component blocks.
  • Output Format: Generates clean HTML/CSS, with a strong preference for Tailwind CSS for styling, ensuring responsive and modern designs.
  • Efficiency: At 4 billion parameters, it's designed to be small enough for local execution and fast iteration, making it suitable for developers seeking quick prototyping.
  • Structured Output: Emphasizes strong structural consistency and opinionated layouts, preferring mobile-first output and avoiding external JavaScript by default.
  • Training Focus: Trained on a mixture of curated HTML/CSS/Tailwind snippets, component libraries, and synthetic page specifications, with an objective to reward semantic structure, spacing rhythm, and responsiveness.

When to Use This Model

  • Rapid Prototyping: Ideal for quickly generating website layouts or specific UI components from text prompts.
  • Semantic HTML Needs: When the primary requirement is well-structured, semantic HTML code.
  • Tailwind CSS Projects: Particularly useful for projects that leverage Tailwind CSS for styling.
  • Resource-Constrained Environments: Its 4B size makes it suitable for deployment on laptops or environments with limited GPU memory, with BF16 requiring 8.05 GB VRAM and GGUF Q4_K_M needing only 2.5 GB.

For optimal results, users are advised to use a lower temperature (e.g., 0.4–0.6) for stricter, cleaner markup, and a max_new_tokens between 1200–2500, as single-file sites often fit within 1500 tokens.

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