How to install models offline?

I would like to use llm completely offline. I can install the llm python package offline with:

pip download llm

and then using this on the offline computer

pip install --no-index --find-links "$(convert-path($pwd))" .\llm-0.6.1-py3-none-any.whl

However, I get stuck once I want to install the offline models. To install them, I have to use:

llm install llm-gpt4all

then, when I actually specify the model I want to use (such as with llm -m ggml-vicuna-7b-1 "Five cut names for a pet penguin"), the .bin file gets downloaded here:

%userprofile%\.cache\gpt4all

I assume I can just copy the .bin model files in the .cache\gpt4all folder to the offline computer (but maybe I'm wrong, I'm not sure). However, I don't know how to replicate what the llm install llm-gpt4all line is doing completely offline. I used a drive monitoring program and it looks like it adds a bunch of files in the Python folder in the Program Files directory. For example:

It's not as easy to distinguish which of those are important compared to the single .bin file in the .cache folder.

Do you have any advice on how I can install these offline?

The issue names the llm install llm-gpt4all command and the %userprofile%\.cache\gpt4all model directory, but no source files or tests. Start by tracing how the command installs the plugin and model, then document a complete offline procedure and verify it on the stated Windows setup.