Have been using it a while now, I recommend using something like Tailscale so you can access it from anywhere on your phone. I also have a raspberry pi that can wake up my main machine when I need it.
Selfhosted
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I didnt use any AI until I was able to host it localy. I hate the idea of training a model or how that data centers consumes so much water and resouses. Also I dont use any AI generative of images. Is not etic for me. But I'm trying to find a way to make ollama a tool I can use somehow, and not just a thing to talk sometimes for fun.
You realize the models you're running locally had to be trained the same way as the proprietary ones, right?
Yes, but is a copy of something that is already done. I'm not making new requests to a data center who is wasting 4 liters of water every 100 words like gpt-4, I'm just using my GPU like with a videogame.
Open-Webui published a docker image that has a bundled Ollama that you can use, too: ghcr.io/open-webui/open-webui:cuda
. More info at https://docs.openwebui.com/getting-started/#installing-open-webui-with-bundled-ollama-support
And you can open the default ollama port to allow it to be used by other services (like VSCode), not only through Open-WebUI.
That’s cool. Personally I just integrated it into my normal chat client by connecting Aichat, which supports a ton of backends including Ollama and hosted options, with Matrix.
Blog post with more info https://jackson.dev/post/chaz/
In my humble opinion the point of self hosting an LLM is so that the data doesn't leave your LAN.
where the link to the download?
I just want one that won't just be like "I"m sowwy miss I can't talk about that 🥺"
Download a "dolphin" model
Tons of models you can run with ollama are "uncensored"
I made a robot which is delighted about the idea of overthrowing capitalism and will enthusiastically explain how to take down your government.
I use Alpaca and ollama running in podman
All running on CPU with decent performance
Wow, that's an old model. Great that it works for you, but have you tried some more modern ones? They're generally considered a lot more capable at the same size
Wish I could accelerate these models with an Intel Arc card, unfortunately Ollama seems to only support Nvidia
And AMD
You should be able to get llama.cpp to run on Arc but I'm not sure what performance you will get. It may not be worth it.
They support AMD as well.
https://ollama.com/blog/amd-preview
also check out this thread:
https://github.com/ollama/ollama/issues/1590
Seems like you can run llama.cpp directly on intel ARC through Vulkan, but there are still some hurdles for ollama.
Interesting, I see that is pretty new. Some of the documentation must be out of date because it definitely said Nvidia only somewhere when I tested it about a month ago. Thanks for giving me hope!
I have been running this for a year on my old HP EliteDesk 800 SFF (G2) with 64GB RAM, and it performes great on the smallest models (up til 8B) only on CPU. I run Ollama and OpenWebUI in containers/LXC in Proxmox. It's not as smart as ChatGPT, but it can be suprisingly capable for everyday tasks!