LocalLLaMA

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Good translation models which fit on a smartphone? (piefed.jeena.net)

submitted 2 days ago by jeena@piefed.jeena.net to c/localllama@sh.itjust.works

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I live in Korea but still don't speak the language. I get a lot of SMS in Korean, 95% are spam but the last 5% are important ones. I already missed to pay my phone bull twice for months because I didn't realize that the credit card I put there was not valid anymore and they kept sending me SMS about it which I ignored because most of the SMS is spam and copy and pasting everyone into Google Translate is quite a lot of work which is tidious and I just don't do it.

So my idea was to take a open source SMS app like Fossify Messages and add automatic translation to it. And especially because SMS is used for security relevant stuff like 2 factor authentication, I really need the translation to work locally and not on a 3rd party server.

On my PC I have a really really good model the Aya:8b which fits well into the 12 GB VRAM on my RTX3060 and the results Korean -> English are outstanding!

But when I put it on the phone -I have a Samsung S24 Ultra - it fills up the RAM and get's killed quite quickly. I tried to configure it so it's allowed to use more ram for a longer period of time, etc. but even then it's extremely slow and translates like 3 SMS in an hour and I have about 5000 in the database (I only translate the Korean ones).

I tried some other models like Gemma 3 and NLLB-200 which just output garbage, especially the later dropped numbers , URL, codes which are important in SMS translations.

Anyway, does someone have any tips what I could do?

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[–] hexagonwin@lemmy.today 1 points 1 day ago (1 children)

i use this app which auto exports sms/contacts/call logs to json on my local storage every day. maybe write a script to auto transfer that exported json to your PC, diff for new messages and translate them using the local llm and send it back to your phone?

[–] jeena@piefed.jeena.net 1 points 1 day ago

Yeah, it could also just sent the translation to a Matrix chanel, but then there are more moving parts and a day delay, it's still much better than what I have now though. So if I can't solve it on device this is a good fallback.