this post was submitted on 25 Dec 2023
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[–] [email protected] 5 points 9 months ago (3 children)

I want said AI to be open source and run locally on my computer

[–] [email protected] 0 points 9 months ago (1 children)

This technology will be running on your phone within the next few years.

[–] [email protected] 0 points 9 months ago (1 children)

Yeah if your willing to carry a brick or at least a power bank (brick) if you don't want it to constantly overheat or deal with 2-3 hours of battery life. There's only so much copper can take and there are limits to minaturization.

[–] [email protected] 0 points 9 months ago (1 children)

It's not like that though. Newer phones are going to have dedicated hardware for processing neural platforms, LLMs, and other generative tools. The dedicated hardware will make these processes just barely sip the battery life.

[–] [email protected] 0 points 9 months ago (1 children)

wrong.

if that existed, all those AI server farms wouldn't be so necessary, would they?

dedicated hardware for that already exists, it definitely isn't gonna be able to fit a sizeable model on a phone any time soon. models themselves require multiple tens of gigabytes of storage space. you won't be able to fit more than a handful on even a 512gb internal storage. the phones can't hit the ram required for these models at all. and the dedicated hardware still requires a lot more power than a tiny phone battery.

[–] [email protected] 1 points 8 months ago

Those server farms are because the needs of corporations might just be different from the needs of regular users.

I'm running a 8 GB LLM model locally on my PC that performs better than 16 GB models from just a few months ago.

It's almost as if technology can get better and more efficient over time.

[–] [email protected] 0 points 9 months ago* (last edited 9 months ago) (1 children)

I can run a pretty alright text generation model and the stable diffusion models on my 2016 laptop with two GTX1080m cards. You can try with these tools: Oobabooga textgenUi

Automatic1111 image generation

They might not be the most performant applications but they are very easy to use.

[–] [email protected] 0 points 9 months ago (2 children)

You seem to have missed the point a bit

[–] [email protected] 0 points 9 months ago (1 children)

“I wish I had X”

“Here’s X”

What point was missed here?

[–] [email protected] 0 points 8 months ago

The post "I wish X instead of Y"
The comment: "And run it [X] locally"
The next comment: "You can run Y locally"

Also the one I told this literally admitted that I was right and you're arguing still

[–] [email protected] 2 points 9 months ago (1 children)

It's getting there. In the next few years as hardware gets better and models get more efficient we'll be able to run these systems entirely locally.

I'm already doing it, but I have some higher end hardware.

[–] [email protected] 1 points 9 months ago (1 children)

Could you please share your process for us mortals ?

[–] [email protected] 2 points 9 months ago

Stable diffusion SXDL Turbo model running in Automatic1111 for image generation.

Ollama with Ollama-webui for an LLM. I like the Solar:7b model. It's lightweight, fast, and gives really good results.

I have some beefy hardware that I run it on, but it's not necessary to have.