I just ran one of these locally on a Mac like this:

  uvx litert-lm run \
    --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \
  gemma-4-E2B-it.litertlm \
    --backend=gpu \
    --prompt="Generate an SVG of a pelican riding a bicycle"

The first time you run that it downloads 3.2GB to ~/.cache/huggingface/hub/models--litert-community--gemma-4-E2B-it-litert-lm

It can handle audio and image input too, which is pretty cool for a 3.2GB model. For images:

  uvx litert-lm run \
    --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \
  gemma-4-E2B-it.litertlm \
    --backend=gpu --vision-backend gpu \
    --attachment image.jpg --prompt describe

And for audio:

  uvx litert-lm run \
    --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \
  gemma-4-E2B-it.litertlm \
    --backend=gpu --audio-backend cpu \
    --attachment audio.wav --prompt transcribe

(The pelican is rubbish, but it's only a 3.2GB file so the fact it even outputs valid SVG is impressive to me: https://gist.github.com/simonw/94b318afde4b1ce5ff67d4b5d0362... )