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submitted 3 days ago by JOMusic@lemmy.ml to c/opensource@lemmy.ml
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[-] JOMusic@lemmy.ml 7 points 3 days ago* (last edited 3 days ago)

GitHub here: https://github.com/allenai/OLMoE.swift

Ai2 make as much of their training data available as possible: https://huggingface.co/datasets/allenai/OLMoE-mix-0924

[-] kekmacska@lemmy.zip 3 points 3 days ago

Wanna see how you git clone and compile it on ios

[-] jeena@piefed.jeena.net 5 points 3 days ago

I wonder how bit it is, normally they call them something with 3B or 7b

[-] oktoberpaard@feddit.nl 1 points 2 days ago

It’s 7 billion parameters big.

[-] jeena@piefed.jeena.net 1 points 2 days ago

Ah, nice, not bad for a iPhone model.

[-] foremanguy92_@lemmy.ml 3 points 3 days ago
[-] JOMusic@lemmy.ml 2 points 1 day ago

according to the linked article, it sounds like it is for performance reasons.

[-] 2xsaiko@discuss.tchncs.de 6 points 3 days ago

It probably uses Apple’s CoreML. Not sure if Android has an equivalent API.

[-] foremanguy92_@lemmy.ml 1 points 3 days ago
[-] 2xsaiko@discuss.tchncs.de 3 points 3 days ago

It's Apple's API for hardware-accelerated machine learning. Their new devices have specialized ML hardware so it's actually feasible to run on mobile devices. Probably what they also use for Apple Intelligence. https://developer.apple.com/documentation/coreml

[-] foremanguy92_@lemmy.ml 1 points 3 days ago* (last edited 3 days ago)

Seems like a good project to implement on the green side (Or pinguin side)

this post was submitted on 07 Mar 2025
42 points (93.8% liked)

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