Openhermes 2.5 Mistral 7b competes with LLMs that require 10x the resources. You could try it out on your phone.
I guess, the real question is: Could we be using (simplistic) LLMs on a phone for predictive text?
There’s some LLMs that can be run offline and which maybe wouldn’t use enormous amounts of battery. But I don’t know how good the quality of those is…
SpooksMcDoots@mander.xyz 6 months ago
Mr_Blott@lemmy.world 6 months ago
That was my next question, thanks!
Didn’t think of battery use, makes sense
Munkisquisher@lemmy.nz 6 months ago
A pre trained model isn’t going to learn how you type the more you use it. Though with Microsoft owning SwiftKey, I imagine they will try it soon
SidewaysHighways@lemmy.world 6 months ago
I was so heartbroken when I found out that Microsoft purchased Swiftkey. It was my favorite. Is there any way to still use it without Microsoft involved? Lawdhammercy
neptune@dmv.social 6 months ago
I think apple has pitched this for a future iPhone, yes.
squaresinger@feddit.de 6 months ago
They’ll probably have to offload that to a server farm in real time. That’s not gonna be easy.
0x4E4F@sh.itjust.works 6 months ago
I guess… why not… but the db is probably huge, like in the hundreds of GB (maybe even TB… who knows), can’t run that offline.
bassomitron@lemmy.world 6 months ago
The kind of local/offline LLMs that would work on your phone would not be very good quality. There’s been amazing progress of quantization of LLMs to get them working on weaker GPUs with lower VRAM and CPUs, so maybe it’ll occur, but I’m not an expert.
I also don’t foresee them linking it up to a cloud-based LLM as that’d be a shit load of queries and extremely expensive.