README.md

---
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! ✨