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Show HN: I made a Raspberry with Qwen my local car AI

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Re: Show HN: I made a Raspberry with Qwen my local car AI

#73
post #7

I'm currently integrating one for simple diagnostic readouts to integrated small touchscreen. The main goal being a retro looking display that mainly dumps ODB data/monitors, but also reads maps data to show a "waypointer" a la crazy taxi. (This is proving difficult) Respectfully, I don't think this is....real? -I mean, getting the absolute basic bits like diag codes converted from the odb 2 data to some program w/ a…

Yes Qwen runs local. Manufacturer cloud workw via existing integrations (they have many) in Home Assistant. The Pi makes a secure tunnel to my home assistant running on a Mac mini at home, and then reads data and gives commands like the manufacturer's mobile app does.

It's all in the repo and this feature has been proven on several test drives, feel free to check it out. What would be great if you can add your cars cloud to your HA and use it with CarWatch, so we could have expand device coverage. I have only 2 cars and they are both MB - the nice thing is you can view both cars on CarWatch, one just does not have OBD port on :)

Re: Show HN: I made a Raspberry with Qwen my local car AI

#74
post #10

What is the LLM doing there? Why does it need to be hooked up to the car for you to ask it which type of engine oil the manual recommends? What is the point?

People don't want to ask google, they just want to ask their plagiarism machine instead and be fed some answers directly, correctness be damned

If I ask google, it will just use the google plagiarism machine to serve me a response anyway, might as well ask the plagiarism machine of my choice.

Re: Show HN: I made a Raspberry with Qwen my local car AI

#75

Earlier quoted context omitted.

People don't want to ask google, they just want to ask their plagiarism machine instead and be fed some answers directly, correctness be damned

If I ask google, it will just use the google plagiarism machine to serve me a response anyway, might as well ask the plagiarism machine of my choice.

So you ignore the google plagiarism machine and scroll down to find actual results

Re: Show HN: I made a Raspberry with Qwen my local car AI

#76

I will shamelessly plug https://pitstop.app . I've been working on this for years and I work on/race cars regularly. I wouldn't fully trust LLMs with this :p BUT this project is still really freaking sweet.

Very cool! Working on a product for in-care use as well, complementary to this. Would love to talk shop!

Yes, I'd love to! How? haha I'm robdel12 on pretty much everything (twitter, github, threads). Personal site w/email link https://robertdelu.ca/ I'd rather not put my email out here :p

Any/all work!

Re: Show HN: I made a Raspberry with Qwen my local car AI

#77
post #15

Earlier quoted context omitted.

Qwen 4B and 9B should be faster and better reasoning than Gemma 4 E4B. Other good options for that much RAM are Gemma 4 12b and 31b. Gemma 4 E4B would be better for native audio, but OP is using Whisper for STT so prob doesn't matter

The issue is not RAM size. It's memory bandwidth! The 12B and 31B models will be useless on a Pi 5; maybe the 12B can be persuaded to run, but it may not manage more than one token per second. It only manages 17GB/s memory bandwidth (I have seen a suggestion that the 4GB model manages more). But yes — some sort of small reasoning-oriented model (Ornith?) seems a better candidate than Qwen 35B. (Don't get me wrong, I…

Hmm could try Ornith - wouldn't mind if answers came a bit faster. Probably hard to reach Qwens intelligence level though.
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