I'm making LLMs work on small and old devices (github.com)

49 pointsby mrashad742 hours ago12 comments

mkanephl 2 minutes ago

ESP P4 or ESP S31?

jedbrooke 26 minutes ago

in a similar vein, somebody got tinystories LLM running on the nintendo wii, including gpu acceleration [0].

0: https://github.com/brysontang/iiama2.c

mrashad74 2 hours ago

Recently I started this open source project at my AI company, where I'm trying to make LLMs working

Now Reached 16B models running on iPad Air 1st gen and xiaomi tv box, both have less than 1GB of usable memory, and reached some decent speeds given the hardware.

I'm open sourcing the effort done, kernels developed and results for everyone to re-produce and push more, also the modified models are on hugging face : https://huggingface.co/hyperionaidev

I want a more challenging device, what do you think?

post-it an hour ago

> I want a more challenging device, what do you think?

One of those vapes with a screen on it.

mrashad74 38 minutes ago

challenge accepted.

fredley 27 minutes ago

> a more challenging device

A Playdate

shujito 27 minutes ago

perhaps the pi 1st/2nd gen?

I'd thought of the ESP32 devices but their RAM is too small

gabucino 6 minutes ago

Pi 1 is too easy. My PicoLM [fork] already runs on it.

It also runs on MS-DOS 80386 2MB RAM, so...

And iPhone 1. And Digital UNIX.

dava96 an hour ago

This is really cool man. I like this on going trend of resurrecting old tech with AI and this is yet another avenue to explore.

I'd be interested in seeing some older flag ship mobile devices

mrashad74 an hour ago

I have a few phones and tablets laying around, will try to play with..

ForHackernews 36 minutes ago

This is great. I've recently been playing with repurposing some old thin clients as homelab Linux machines

Not my site, but same idea: https://www.parkytowers.me.uk/thin/

All this old/obsolete gear is plenty capable when used with the right software.

dava96 27 minutes ago

Out of interest, what have you been doing with them?