What CLIP Machine Learning Model can I use for Immich?

I'm currently running my Immich server on a mini PC with proxmox

It's got 3x N97 CPU cores available to it and 7gb of ram
It's using the default ViT-B-32__openai model, I was wondering if I can use a more powerful model, but I'm not sure which one or if I should enable hardware acceleration etc.

This is my yaml file

  immich-machine-learning:  
    container_name: immich_machine_learning  
    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.  
    # Example tag: ${IMMICH_VERSION:-release}-cuda  
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}  
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration  
    #   file: hwaccel.ml.yml  
    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable  
    volumes:  
      - immich-model-cache:/cache  
    env_file:  
      - stack.env  
    restart: always  
    healthcheck:  
      disable: false  

I looked at the docs but it's a bit confusing so that's why I'm here.