Run ChatGPT Code Interpreter Locally with CodeLlama

Table of Contents

1. Introduction
2. Setting Up a Conda Environment
3. Installing Open Interpreter
4. Activating the Virtual Environment
5. Running Open Interpreter with GPT-4
6. Running Open Interpreter with Code Lamma
7. Using Open Interpreter with Code Number
8. Installing Llama CPP Manually
9. Switching to Code Number with Llama CPP
10. Final Thoughts

Introduction

In this article, we will explore how to set up Code Lama with Open Interpreter. Code Lama is an open-source model that allows You to run a code interpreter from your own local terminal. We will discuss the steps to set up Code Lama with Open Interpreter on a Mac machine, but the process remains the same for all different operating systems. We will also discuss the advantages and limitations of using Code Lama and Open Interpreter.

Setting Up a Conda Environment

Before we can begin using Code Lama with Open Interpreter, we need to set up a new Conda environment. The Conda environment will ensure that all the required packages are installed. To set up a Conda environment, open your terminal and enter the following command:

conda Create -n code-lama python=3.10.0

This command will create a new Conda environment with Python 3.10.0. Once the conda environment is set up, activate it by running the following command:

conda activate code-lama

Installing Open Interpreter

The next step is to install Open Interpreter. Open Interpreter is available on GitHub as an open-source project. To install it, go to the GitHub repository and copy the installation command. In your terminal, paste the command and run it. This will install Open Interpreter on your local machine.

Activating the Virtual Environment

Once Open Interpreter is installed, activate the virtual environment by running the following command:

interpreter

This command will initiate the Open Interpreter. At this point, you have two options:

1. Use GPT-4: This is the recommended option, but it requires an Open AI API key.
2. Use Code Lama: This option is free but less capable compared to GPT-4.

To use GPT-4, you need to provide your Open AI API key. Once the API key is set, you can run the Open Interpreter without any additional Prompts. However, if you want to run it with Code Lama, simply hit enter and it will switch to Code Lama.

Running Open Interpreter with GPT-4

If you choose to use GPT-4, you can run the Open Interpreter by typing the command interpreter. The Open Interpreter will ask for your approval before running any code but you can bypass this behavior by adding the -y flag to the initial command. This will automatically execute all the code without prompt. You can also run the Open Interpreter with a prompt by using the interpreter --local command and providing the code you want to analyze.

Running Open Interpreter with Code Lamma

To run the Open Interpreter with Code Lamma, simply Type the command interpreter --local. This will load Code Lamma as the model. You will then have the option to select the model size. Choose the desired model size and select whether to use the GPU. If any required packages are not found, you can install them manually. After the installation is complete, you can run the Open Interpreter with Code Lamma using the same command.

Using Open Interpreter with Code Number

Finally, you can switch to using Code Number with the Open Interpreter. This is a smaller model compared to GPT-4 but it is free to use. To switch to Code Number, run the Open Interpreter and select the Code Number model size. You may need to install the required packages manually. Once the installation is complete, you can run the Open Interpreter with Code Number using the same command.

Installing Llama CPP Manually

If the installation of Llama CPP fails during the setup process, you can try installing it manually. Go to the Website provided in the article and follow the instructions to download and install Llama CPP with GPU support for your operating system.

Switching to Code Number with Llama CPP

After manually installing Llama CPP, you can switch to using Code Number with Llama CPP. Follow the same steps as before to run the Open Interpreter, but this time, select the desired Code Number model size. Follow the prompts and the Open Interpreter will use Code Number for analysis.

Final Thoughts

Setting up Code Lama with Open Interpreter is a great way to run a code interpreter locally and avoid the need for a paid membership with GPD. While Code Lamma may have some limitations, it provides a free and open-source alternative to GPT-4. Keep in mind that Code Lamma may not have the same capabilities as GPT-4, but it can still be a useful tool for code analysis.

Highlights

• Set up Code Lama with Open Interpreter on your local machine.
• Choose between using GPT-4 or Code Lamma for analysis.
• Install Llama CPP manually if the automated installation fails.
• Run the Open Interpreter with Code Number for smaller models.
• Enjoy the benefits of an open-source project without paying for GPD membership.

FAQ

Q: Can I use Code Lama with GPT-4 without an Open AI API key?

A: No, in order to use GPT-4 with Code Lama, you need to provide your Open AI API key.

Q: What are the advantages of using Code Lama instead of GPT-4?

A: Code Lama is an open-source project that provides a free alternative to GPT-4. It allows you to run a code interpreter from your local terminal without the need for a paid membership with GPD.

Q: Does Code Lama have any limitations compared to GPT-4?

A: Yes, Code Lama is less capable than GPT-4 and may not provide the same quality of responses. However, it can still be a useful tool for code analysis.

Q: Can I switch between using GPT-4 and Code Lamma in the Open Interpreter?

A: Yes, you can switch between using GPT-4 and Code Lamma by choosing the appropriate option when running the Open Interpreter.

Q: How can I install Llama CPP manually?

A: If the automated installation of Llama CPP fails, you can follow the provided instructions in the article to download and install it manually.

Q: Is Code Number a smaller model compared to GPT-4?

A: Yes, Code Number is a smaller model compared to GPT-4, but it is free to use. It can be a good alternative if you don't have access to GPD or prefer not to pay for their services.