Setting Up Meta’s LLama on macOS
If you’re a macOS user, here’s a step-by-step guide to get you up and running with Meta’s LLama.
Request Access to LLama
Navigate to Meta’s Llama Download Page.
Fill in the required details: name, email, location, and company.
Clone the Repository
Execute the following command to download the git repository:
gh repo clone facebookresearch/codellama
Install Essential Tools
Before proceeding, ensure you have
coreutils installed. If not, you can install them using Homebrew:
brew install wget brew install coreutils
Set Up Conda
First, install Miniconda by visiting Miniconda’s Official Website.
Launch Conda and update it with the following command:
conda update -n base -c defaults conda
Create a new environment named pytorch with Python 3.8:
conda create - name pytorch python=3.8
Activate the pytorch environment:
conda activate pytorch
Install Necessary Dependencies
Within your Conda environment, install the required packages:
pip install -e .
To initiate the downloading process, run:
When prompted, input the email address you used for the Meta request form.
Enter on your keyboard to begin downloading all the models. And that's it! With these steps completed, you should have Meta's LLama set up on your macOS device, ready for exploration and development.