LocalLLaMA

4706 readers

15 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago

MODERATORS

pax@sh.itjust.works

noneabove1182@sh.itjust.works

Smokeydope@lemmy.world

MonsterBug@sh.itjust.works

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

10 comments fedilink hide all child comments

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?

you are viewing a single comment's thread
view the rest of the comments

[–] hendrik@palaver.p3x.de 3 points 1 day ago* (last edited 1 day ago)

I don't think a multi billion parameter LLM counts as proper machine translation... That'd be something like Argos Translate or Mozilla's Bergamot Project.