Hey! I feel your pain—setting up a local llm code interpreter can be a nightmare. I’ve been using Ollama with LLaMA 2, and it’s been pretty smooth once I got the hang of it.
For dependencies, I’d recommend using a virtual environment (like conda) to avoid conflicts. Also, check out the Hugging Face forums—they’ve got some great threads on optimizing performance for local llm setups.
If your machine feels sluggish, try reducing the model size or using quantization (like GPTQ). It’s not perfect, but it helps a ton with speed. Good luck!
For dependencies, I’d recommend using a virtual environment (like conda) to avoid conflicts. Also, check out the Hugging Face forums—they’ve got some great threads on optimizing performance for local llm setups.
If your machine feels sluggish, try reducing the model size or using quantization (like GPTQ). It’s not perfect, but it helps a ton with speed. Good luck!