Depends on what AI you’re looking for. I don’t know of an LLM (a language model,think chatgpt) that works decently on personal hardware, but I also haven’t really looked. For art generation though, look up automatic1111 installation instructions for stable diffusion. If you have a decent GPU (I was running it on a 1060 slowly til I upgraded) it’s a simple enough process to get started, there’s tons of info online about it, and it’s all run on local hardware.
I don’t know of an LLM that works decently on personal hardware
Ollama with ollama-webui. Models like solar-10.7b and mistral-7b work nicely on local hardware. Solar 10.7b should work well on a card with 8GB of vram.
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
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.
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.
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.
And I do have a couple different LLMs installed on my rig. But having that resource running locally is years and years away from being remotely performant.
On the bright side there are many open source llms, and it seems like there’s more everyday.
I want said AI to be open source and run locally on my computer
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.
Could you please share your process for us mortals ?
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.
Depends on what AI you’re looking for. I don’t know of an LLM (a language model,think chatgpt) that works decently on personal hardware, but I also haven’t really looked. For art generation though, look up automatic1111 installation instructions for stable diffusion. If you have a decent GPU (I was running it on a 1060 slowly til I upgraded) it’s a simple enough process to get started, there’s tons of info online about it, and it’s all run on local hardware.
Ollama with ollama-webui. Models like solar-10.7b and mistral-7b work nicely on local hardware. Solar 10.7b should work well on a card with 8GB of vram.
If you have really low specs use the recently open sourced Microsoft Phi model.
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.
You seem to have missed the point a bit
Just read it again and you’re right. But maybe someone else finds it useful.
I do, so thank you :)
deleted by creator
Funny how these comments appeared only today in my instance, I guess there are some federation issues still
new phone who dis?
This technology will be running on your phone within the next few years.
Because like every other app on smartphones it’ll require an external server to do all of the processing
I mean, that’s already where we are. The future is going to be localized.
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.
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.
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.
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.
I want mine in an emotive-looking airborne bot like Flubber
A lot of it can if you have a big enough computer.
Hey me too.
And I do have a couple different LLMs installed on my rig. But having that resource running locally is years and years away from being remotely performant.
On the bright side there are many open source llms, and it seems like there’s more everyday.
Checkout /r/localLlama, Ollama, and Mistral.
This is all possible and became a lot easier to do recently.