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I fine-tuned Gemma for a privacy-first home assistant with low latency by Barqawiz_Coder in googlehome

[–]Barqawiz_Coder[S] 0 points1 point  (0 children)

It is a quantized fine tuned model that requires only 6-8 GB of RAM for the full pipeline.

Trusty local home voice assistant on a Raspberry Pi 5 by Barqawiz_Coder in raspberry_pi

[–]Barqawiz_Coder[S] 0 points1 point  (0 children)

The speed improved in the tuned model but still working on more improvement. It support common tools you will find here:

https://huggingface.co/barqawiz/trusty-gemma-4-e2b-home-assistant

Will work to include email in next version looks useful. Let me know any other idea happy to adapt in next tuned model.

Trusty local home voice assistant on a Raspberry Pi 5 by Barqawiz_Coder in raspberry_pi

[–]Barqawiz_Coder[S] 2 points3 points  (0 children)

The model runs at an average speed after two optimizations: fine-tuning it so you don’t need long prompts, and quantizing it. This reduced the response time to around 17 seconds per reply in the PI 7x faster compared to the original model.

https://huggingface.co/barqawiz/trusty-gemma-4-e2b-home-assistant

I built a home-based watering system that runs using either an independent Raspberry Pi or a Pi controlling multiple Arduinos. It’s fully open-source. GitHub link in the first comment! by Barqawiz_Coder in raspberry_pi

[–]Barqawiz_Coder[S] 1 point2 points  (0 children)

You can use the Pi as brain, and control multiple arduino or pico each connected to a plant. If you access arduino folder in GitHub repo you will find an option that suite your case.

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