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Vinitrajputt/COT-html-lamma

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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โœจ COT-HTML-Llama: Weaving HTML with Words ๐Ÿฆ™

Transform natural language into beautiful, dynamic HTML with COT-HTML-Llama, a finetuned Llama 3.1 7b model! ๐Ÿช„ Trained on a Groq-enhanced Alpaca dataset, this model uses Chain-of-Thought (CoT) reasoning to craft interactive web experiences. Get creative and code-free โ€“ let your words build the web! ๐ŸŒ

๐ŸŒŸ Model Magic:

COT-HTML-Llama isn't just about static HTML. It's about bringing your web visions to life! โœจ

  • โ€”Dynamic HTML Generation: Turn text instructions into working HTML, complete with internal CSS and JavaScript.
  • โ€”Chain-of-Thought Reasoning: Watch the model think step-by-step, translating your ideas into structured code. ๐Ÿง 
  • โ€”Interactive Elements: Create buttons that change color, dynamic text, and more โ€“ all from simple prompts!
  • โ€”Strawberry Superstar: This model even conquers the infamous "Strawberry Challenge," accurately counting the "r"s โ€“ a testament to its improved logical reasoning! ๐Ÿ“

๐Ÿš€ Use Cases:

Unleash your inner web developer with ease:

  • โ€”Quick Prototyping: Mock up web page ideas in seconds.
  • โ€”Content Creation: Generate engaging web content without writing a single line of code.
  • โ€”Learning HTML: Explore HTML generation through a new, intuitive lens.

๐Ÿšง Limitations:

While COT-HTML-Llama is powerful, it's still learning:

  • โ€”Complex Layouts: Intricate designs might still pose a challenge.
  • โ€”External Resources: Currently supports only internal CSS and JavaScript. No external images or scripts (yet!).
  • โ€”Ambiguity: Highly nuanced instructions might need extra clarification.

๐Ÿ› ๏ธ Training & Usage:

  • โ€”Dataset: Groq-transformed Alpaca dataset, split & merged for optimal training.
  • โ€”Finetuning: Unsloth technique for peak performance. ๐Ÿ’ช
  • โ€”Quantized Versions: Q4KM, Q5KM, Q8_0 for efficient inference.
  • โ€”Hugging Face Hub: Get the model and code here: https://huggingface.co/Vinitrajputt/COT-html-lamma

โœจ Future Enhancements:

We're constantly improving COT-HTML-Llama:

  • โ€”Robust Error Handling: Smoother sailing ahead!
  • โ€”Advanced Prompting: Even more control over your HTML.
  • โ€”Automated Evaluation: Measuring the magic.
  • โ€”Model Optimization: Faster and better HTML generation.

๐Ÿค Contribute:

Join us in building the future of HTML generation! Contributions are welcome! Let's make some web magic together! โœจ