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by mofosyne 885 days ago
Regarding accessible local LLMs have you heard of the llamafiles project? It allows for packaging one executable LLM that works on Mac, windows and Linux.

Currently pushing for application note https://github.com/Mozilla-Ocho/llamafile/pull/178 to encourage integration. Would be good to hear your thoughts on making it easier for home assistant to integrate with llamafiles.

Also as an idea, maybe you could certify recommendations for LLM models for home assistant. Maybe for those specifically trained to operate home assistant you could call it "House Trained"? :)
1 comments
balloob 885 days ago
As a user of Home Assistant, I would want to easily be able to try out different AI models with a single click from the user interface.

Home Assistant allows users to install add-ons which are Docker containers + metadata. This is how today users install Whisper or Piper for STT and TTS. Both these engines have a wrapper that speaks Wyoming, our voice assistant standard to integrate such engines, among other things. (https://github.com/rhasspy/rhasspy3/blob/master/docs/wyoming...)

If we rely on just the ChatGPT API to allow interacting with a model, we wouldn't know what capabilities the model has and so can't know what features to use to get valid JSON actions out. Can we pass our function definitions or should we extend the prompt with instructions on how to generate JSON?

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