Tesslate/WEBGEN-Devstral-24B
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:Sep 30, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
Tesslate/WEBGEN-Devstral-24B is a 24 billion parameter model developed by Qingy2004, specifically designed for generating web landing pages. This model excels at producing HTML, CSS, JavaScript, and Tailwind CSS code. It was trained on custom templates and a dataset created using GPT-OSS-120B, making it highly specialized for front-end web development tasks.
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WEBGEN-Devstral-24B Overview
WEBGEN-Devstral-24B is a 24 billion parameter language model developed by Qingy2004, specifically engineered for generating web landing pages. Unlike general-purpose code generation models, this model is highly specialized in front-end web development, focusing exclusively on producing HTML, CSS, JavaScript, and Tailwind CSS.
Key Capabilities
- Dedicated Web Page Generation: Optimized for creating complete landing pages from prompts.
- Front-End Focus: Generates code exclusively for HTML, CSS, JavaScript, and Tailwind CSS.
- Specialized Training: Trained on a unique dataset derived from custom templates and GPT-OSS-120B, enhancing its proficiency in web design patterns.
- Apache 2.0 License: Available for use under the permissive Apache 2.0 license.
When to Use This Model
- Rapid Landing Page Development: Ideal for developers needing to quickly generate static web pages.
- Front-End Prototyping: Excellent for creating initial prototypes or mock-ups of web interfaces.
- Specific Code Generation: Best suited for tasks requiring HTML, CSS, JavaScript, and Tailwind CSS output.
Limitations
- No Back-End or Framework Support: This model is not designed for generating code in languages like React, Python, or other back-end frameworks. For such requirements, users are directed to the UIGEN-X, UIGENT, or UIGEN series models.