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Llama2 Code Interpreter

πŸ€— CodeLlama 7B Finetuned Model (HF)

Python 3.9+ Code style: black

This project allows LLM to generate code, execute it, receive feedback, debug, and answer questions based on the whole process. It is designed to be intuitive and versatile, capable of dealing with multiple languages and frameworks.

The purpose and direction of the project

Quick Start

Run the Gradio App:

python3 --path Seungyoun/codellama-7b-instruct-pad



Model Score(pass@1)
Codellama instruct 7b 34.8%
Codellama instruct 7b - finetuning 70.12%


Model Score
Code Llama 7B 13%
Code Llama 13B 20.8%
Codellama instruct 7b - finetuning 28%

🌟 Key Features

  • πŸš€ Code Generation and Execution: Llama2 is capable of generating code, which it then automatically identifies and executes within its generated code blocks.
  • Monitors and retains Python variables that were used in previously executed code blocks.
  • 🌟 At the moment, my focus is on "Data development for GPT-4 code interpretation" and "Enhancing the model using this data". For more details, check out the feat/finetuning branch in our repository.
  • 🌟 CodeLlama Support CodeLlama2


Llama2 in Action


In the GIF, Llama2 is seen in action. A user types in the request: Plot Nvidia 90 days chart. Llama2, an advanced code interpreter fine-tuned on a select dataset, swiftly queries Yahoo Finance. Moments later, it fetches the latest Nvidia stock prices from the past 90 days. Using Matplotlib, Llama2 then generates a clear and detailed stock price chart for Nvidia, showcasing its performance over the given period.


  1. Clone the Repository (if you haven't already):

    git clone
    cd Llama2-Code-Interpreter
  2. Install the required dependencies:

    pip install -r requirements.txt

Run App with GPT4 finetunned Llama Model

To start interacting with Llama2 via the Gradio UI using codellama-7b-instruct-pad, follow the steps below:

  1. Run the Gradio App:
    python3 --path Seungyoun/codellama-7b-instruct-pad

For those who want to use other models:

General Instructions to Run App

To start interacting with Llama2 via the Gradio UI using other models:

  1. Run the Command:
    python3 --model_path <your-model-path>

Replace <your-model-path> with the path to the model file you wish to use. A recommended model for chat interactions is meta-llama/Llama-2-13b-chat.


Contributions, issues, and feature requests are welcome! Feel free to check issues page.


Distributed under the MIT License. See LICENSE for more information.


Seungyoun, Shin -


Here are some relevant and related projects that have contributed to the development of this work:

  1. llama2 : GitHub Repository
  2. yet-another-gpt-tutorial : GitHub Repository

These projects have been instrumental in providing valuable insights and resources, and their contributions are highly appreciated.