I’ve been using the local llm code interpreter with Code Llama, and it’s been a game-changer for me.
One thing that helped was using Docker to containerize everything. It’s a bit of a learning curve, but it saves so much time with dependency issues.
Also, check out this guide on GitHub: [link]. It’s got some solid tips on optimizing performance for local setups.
One thing that helped was using Docker to containerize everything. It’s a bit of a learning curve, but it saves so much time with dependency issues.
Also, check out this guide on GitHub: [link]. It’s got some solid tips on optimizing performance for local setups.
