How to Install Code Llama on your Computer (easy with Textgen!)
AI Summary
Summary: Introduction to Code Llama
- Overview of Code Llama:
- Large language model for coding.
- Supports languages like Python, JavaScript, C#, and Bash.
- Capable of writing new code or debugging existing code.
- Features long context stack with up to 100,000 tokens.
- Setting Up the Environment:
- Assumes Anaconda is installed.
- Create a Conda environment named YT text Jack.
- Activate the environment.
- Install PyTorch (with Nvidia card support if available).
- Easy installation on Linux or Windows Subsystem for Linux.
- Installing Code Llama:
- Clone the repository.
- Install requirements using
pip.- Download the model using
python download_model.py.- Use the Hugging Face model card for model names.
- Start the server with
server.py.- Using Code Llama:
- Access the local server via a web browser.
- Select and refresh the model list.
- Adjust GPU RAM settings.
- Test the model with tasks like loading CSV files into pandas and generating statistics.
- Troubleshoot issues with extra space or token length.
- Clear history to resolve issues.
- Conclusion:
- Demonstrates the need to learn more about using the model effectively.
- Acknowledges occasional issues with the model providing too much text and not enough code.