--- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit library_name: peft license: apache-2.0 --- # ✨ COT-HTML-Llama: Weaving HTML with Words 🦙 Transform natural language into beautiful, dynamic HTML with **COT-HTML-Llama**, a finetuned Llama 3.1 7b model! 🪄 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 – let your words build the web! 🌐 ## 🌟 Model Magic: COT-HTML-Llama isn't just about static HTML. It's about bringing your web visions to life! ✨ * **Dynamic HTML Generation:** Turn text instructions into working HTML, complete with internal CSS and JavaScript. * **Chain-of-Thought Reasoning:** Watch the model think step-by-step, translating your ideas into structured code. 🧠 * **Interactive Elements:** Create buttons that change color, dynamic text, and more – all from simple prompts! * **Strawberry Superstar:** This model even conquers the infamous "Strawberry Challenge," accurately counting the "r"s – a testament to its improved logical reasoning! 🍓 ## 🚀 Use Cases: Unleash your inner web developer with ease: * **Quick Prototyping:** Mock up web page ideas in seconds. * **Content Creation:** Generate engaging web content without writing a single line of code. * **Learning HTML:** Explore HTML generation through a new, intuitive lens. ## 🚧 Limitations: While COT-HTML-Llama is powerful, it's still learning: * **Complex Layouts:** Intricate designs might still pose a challenge. * **External Resources:** Currently supports only internal CSS and JavaScript. No external images or scripts (yet!). * **Ambiguity:** Highly nuanced instructions might need extra clarification. ## 🛠️ Training & Usage: * **Dataset:** Groq-transformed Alpaca dataset, split & merged for optimal training. * **Finetuning:** Unsloth technique for peak performance. 💪 * **Quantized Versions:** Q4_K_M, Q5_K_M, Q8_0 for efficient inference. * **Hugging Face Hub:** Get the model and code here: [https://huggingface.co/Vinitrajputt/COT-html-lamma](https://huggingface.co/Vinitrajputt/COT-html-lamma) ## ✨ Future Enhancements: We're constantly improving COT-HTML-Llama: * **Robust Error Handling:** Smoother sailing ahead! * **Advanced Prompting:** Even more control over your HTML. * **Automated Evaluation:** Measuring the magic. * **Model Optimization:** Faster and better HTML generation. ## 🤝 Contribute: Join us in building the future of HTML generation! Contributions are welcome! Let's make some web magic together! ✨