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Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

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Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#41
post #33

Everything runs on a π if you quantize it enough! I'm curious about the applications though. Do people randomly buy 4xRPi5s that they can now dedicate to running LLMs?

I have clusters of over a thousand raspberry pi’s that have generally 75% of their compute and 80% of their memory that is completely unused.

Is it solar powered?

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#43
post #21

Earlier quoted context omitted.

It just came to my attention that the 2021 M1 Max 64gb is less than $1500 used. That’s 64gb of unified memory at regular laptop prices, so I think people will be well equipped with AI laptops rather soon. Apple really is #2 and probably could be #1 in AI consumer hardware.

Apple is leagues ahead of Microsoft with the whole AI PC thing and so far it has yet to mean anything. I don't think consumers care at all about running AI, let alone running AI locally. I'd try the whole AI thing on my work Macbook but Apple's built-in AI stuff isn't available in my language, so perhaps that's also why I haven't heard anybody mention it.

People don’t know what they want yet, you have to show it to them. Getting the hardware out is part of it, but you are right, we’re missing the killer apps at the moment. The very need for privacy with AI will make personal hardware important no matter what.

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#44

Everything runs on a π if you quantize it enough! I'm curious about the applications though. Do people randomly buy 4xRPi5s that they can now dedicate to running LLMs?

I'd love to hook my development tools into a fully-local LLM. The question is context window and cost. If the context window isn't big enough, it won't be helpful for me. I'm not gonna drop $500 on RPis unless I know it'll be worth the money. I could try getting my employer to pay for it, but I'll probably have a much easier time convincing them to pay for Claude or whatever.

$500 gives you about 6 RPi 5 8GB or 4 16GB, excluding accessories or other necessary equipment to get this working.

You'll be much better off spending that money on something else more useful.

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#45

Everything runs on a π if you quantize it enough! I'm curious about the applications though. Do people randomly buy 4xRPi5s that they can now dedicate to running LLMs?

I mean at this point it's more of a "proof-of-work" with shared BP ; I would deff see some domotic hacker get this running - hell maybe i'll do this do if I have some spare time and want to make something like alexa with customized stuff - would still need text to speech and speech to text but that's not really the topic of his set-up ; even for pro use if that's really usable why not just spawn qwen on ARM if that's cheaper - there is a lot of way to read and leverage such bench

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#46
post #3

This is really impressive. If we can get this down to a single Raspberry Pi, then we have crazy embedded toys and tools. Locally, at the edge, with no internet connection. Kids will be growing up with toys that talk to them and remember their stories. We're living in the sci-fi future. This was unthinkable ten years ago.

> Kids will be growing up with toys that talk to them and remember their stories.

What a radical departure from the social norms of childhood. Next you'll tell me that they've got an AI toy that can change their diaper and cook Chef Boyardee.

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#47
post #44

Earlier quoted context omitted.

I'd love to hook my development tools into a fully-local LLM. The question is context window and cost. If the context window isn't big enough, it won't be helpful for me. I'm not gonna drop $500 on RPis unless I know it'll be worth the money. I could try getting my employer to pay for it, but I'll probably have a much easier time convincing them to pay for Claude or whatever.

$500 gives you about 6 RPi 5 8GB or 4 16GB, excluding accessories or other necessary equipment to get this working. You'll be much better off spending that money on something else more useful.

> $500

Yeah, like a Mac Mini or something with better bandwidth.

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#48
post #33

Earlier quoted context omitted.

I have clusters of over a thousand raspberry pi’s that have generally 75% of their compute and 80% of their memory that is completely unused.

That’s an interesting setup. What are you doing with that sort of cluster?

99.9% of enthusiast/hobbyist clusters like this are exclusively used for blinkenlights

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#49

Everything runs on a π if you quantize it enough! I'm curious about the applications though. Do people randomly buy 4xRPi5s that they can now dedicate to running LLMs?

I'd love to hook my development tools into a fully-local LLM. The question is context window and cost. If the context window isn't big enough, it won't be helpful for me. I'm not gonna drop $500 on RPis unless I know it'll be worth the money. I could try getting my employer to pay for it, but I'll probably have a much easier time convincing them to pay for Claude or whatever.

Capability of the model itself is presumably the more important question than those other two, no?

Re: Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5

#50

Everything runs on a π if you quantize it enough! I'm curious about the applications though. Do people randomly buy 4xRPi5s that they can now dedicate to running LLMs?

I'd love to hook my development tools into a fully-local LLM. The question is context window and cost. If the context window isn't big enough, it won't be helpful for me. I'm not gonna drop $500 on RPis unless I know it'll be worth the money. I could try getting my employer to pay for it, but I'll probably have a much easier time convincing them to pay for Claude or whatever.

> I'd love to hook my development tools into a fully-local LLM.

Karpathy said in his recent talk, on the topic of AI developer-assistants: don't bother with less capable models.

So ... using an rpi is probably not what you want.

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