Code with Llama 2

An assisting chatbot to write python code 🧑‍💻

llama2   huggingface   gradio   synthetic dataset   4-bit quantization   python   ·   artificial intelligence   natural language processing   study

Code with Llama 2 hosted on Hugging face. If the space is inactive, press start to restart the space. You can also head over to the full screen app here.

Overview: Ever wanted a quick solution to your Python coding challenges? Meet the Python Code Generation Assistant powered by Llama 2 models! This app is designed to leverage fine-tuned large language models (LLMs) to assist with a variety of Python programming problems – from simple functions to more complex logic. The app offers a customizable experience, enabling you to select from various fine-tuned models to get the best results for your coding needs. Think of it as a coding co-pilot, ready to generate code snippets, and debug solutions at your command. ✨🐍

🚀 How It Works

The assistant is built with Gradio, a powerful Python library for creating user interfaces for machine learning models. It allows users to select their preferred model and interact through a chatbot interface. Here’s a breakdown of what makes it unique:

  • Model Selection: Choose from multiple models that have been fine-tuned for various coding needs:
    • Llama 2 7B Chat: General-purpose code generation.
    • Base MBPP: Specifically tuned for basic Python challenges.
    • Synthetic MBPP: Trained on a synthetic dataset to enhance variety.
    • Mixed MBPP: A balanced mix for handling a wide range of code generation tasks.

🧩 Key Features

  1. Code Generation: Just type in a question, such as “Write a function to find sequences of lowercase letters joined by underscores,” and the model generates Python code wrapped neatly in a code block.

  2. Prompt Customization: Each prompt follows a structured format, allowing the model to easily generate responses and improve accuracy by using special tags for code and test cases.

  3. Dynamic Model Loading: Through the load_model function, the app loads the selected model and configures it with advanced settings for 4-bit quantized computing. This reduces resource usage while keeping the model’s output reliable.

  4. Advanced Calibration: With features like error handling and model-specific configurations, the app ensures that each model loads and operates seamlessly. If issues arise, users receive feedback via Gradio’s error messages, making troubleshooting a breeze.

💡 Using the Assistant

The assistant’s interface includes multiple user-friendly elements:

  • Model Dropdown: Easily switch between models to explore different tuning setups.
  • Interactive Chatbox: Type your question and receive a Python code solution instantly.
  • Example Dataset: Test out popular prompts like “Count hexadecimal numbers” by selecting examples from the built-in dataset.

🌐 Real-World Applications

From educational support in learning Python to aiding developers with quick code snippets, this assistant brings AI-powered coding support directly to your screen. Perfect for anyone from students to professionals looking to accelerate coding workflows.

For the full documentation, code repository, and example prompts, head over to the app here: Hugging Face Repository