Llama2 Code Interpreter
The Llama2 Code Interpreter is an innovative project developed for generating and executing code, obtaining feedback, debugging, and answering queries concerning the entire process. This sophisticated tool is designed to be intuitive and versatile, accommodating a variety of programming languages and frameworks, aimed at enhancing the coding experience for developers.
Exciting Features
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Code Generation and Execution: One of the standout features of Llama2 is its capacity to generate and execute code automatically within specific generated code blocks. This functionality makes it an ideal tool for developers looking to streamline their coding process.
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Retention of Python Variables: Llama2 is attentive in monitoring and retaining Python variables utilized in previously executed code blocks, which ensures continuity and efficiency in the coding tasks.
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Focus Areas: Currently, the key focus is on developing data for GPT-4 code interpretation and enhancing the model using this data. Interested developers can explore more details in the feat/finetuning branch of the repository.
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CodeLlama Support: The project supports CodeLlama2, which continues to provide robust backing for various coding requirements.
Achievements and Benchmarks
In recent benchmarks, the Llama2 Code Interpreter-7B model, which is fine-tuned from the CodeLlama-7B-Instruct model, achieved an impressive 70.12% pass@1 score on the HumanEval Benchmarks. This performance highlights the potential of Llama2 in understanding and executing code efficiently, compared to other models like the basic Codellama instruct 7b, which scored 34.8%.
Getting Started
For those interested in experiencing the capabilities of Llama2, running the application is straightforward:
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Clone the Repository:
git clone https://github.com/SeungyounShin/Llama2-Code-Interpreter.git cd Llama2-Code-Interpreter -
Install Required Dependencies:
pip install -r requirements.txt -
Run the Gradio App: To interact with Llama2 via the Gradio UI using the fine-tuned codellama-7b-instruct-pad model, execute the following command:
python3 chatbot.py --path Seungyoun/codellama-7b-instruct-pad
For those looking to try other models, the application can be started using a general command by replacing <your-model-path> with the desired model path.
Contributions and Community
The project welcomes contributions, issue reports, and feature requests. Developers and enthusiasts can engage with the community through the issues page.
Licensing and Contact
Llama2 Code Interpreter is distributed under the MIT License. For further inquiries and contact, reach out to Seungyoun Shin via email at [email protected].
Acknowledgements
The Llama2 Code Interpreter project acknowledges several foundational projects, such as the llama2 GitHub Repository and yet-another-gpt-tutorial GitHub Repository, which have been instrumental in providing insights and resources.
Llama2 Code Interpreter is undoubtedly a pioneering project that not only optimizes the process of code generation and execution but also expands the horizons for developers seeking efficient and innovative coding tools.