Thanks for the edit. You have a very intriguing idea; a second LLM in the background with a summary of the conversation + static context might make performance a lot better. I don’t know if anyone has implemented it/knows how one can DIY it with Kobold/Ollama. I think it is an amazing idea for code assistants too if you’re doing a long coding session.
Better be AGPL or she’s never getting cloned on my PC, that’s for sure!
I see. Thanks for the note. I think beyond 48GB of VRAM diminishing returns set in very quickly so I’ll likely stick to that limit. I wouldn’t want to use models hosted in the cloud so that’s out of the question.
I was going to buy the ARC B580s when they come back down in price, but with the tariffs I don’t think I’ll ever see them at MSRP. Even the used market is very expensive. I’ll probably hold off on buying GPUs for a few more months till I can afford the higher prices/something changes. Thanks for the Lexi V2 suggestion
I didn’t think of that. Indeed, DNS caching/using different DNS servers for different devices will break it exactly like what OP is experiencing. Thanks.
I had never heard of Kobold AI. I was going to self-host Ollama and try with it but I’ll take a look at Kobold. I had never heard about controls on world-building and dialogue triggers either; there’s a lot to learn.
Will more VRAM solve the problem of not retaining context? Can I throw 48GB of VRAM towards an 8B model to help it remember stuff?
Yes, I’m looking at image generation (stable diffusion) too. Thanks
Interesting. You’re using a model without special finetuning for this specific purpose and managed to get it to work with just giving it a prompt. I didn’t think that was possible. How would you piece together something like this? Can I just ask AI to give me a prompt which I can use on it/another AI?
How much of VRAM does your GPU have?
Thank you. I was going to try and host Ollama and Open WebUI. I think the problem is to find a source for pretrained/finetuned models which provide such… Interaction. Does huggingface have such pre-trained models? Any suggestions?
Assuming NGINX is terminating SSL, I think the problem is ports.
I don’t think OP made two A records here. He simply configured the reverse proxy to point to the VM and the A record to point to the reverse proxy. In my mind, if NGINX is terminating SSL then the only problem could be ports.
OP you NEED to tell me how you did this. I want this. I want to host something like character.ai on my own hardware. If you have a guide on this I’d love it.
Are there guides on this?
I’ll take it. Reality isn’t very fun and hasn’t been good for a while for me. This is a very good escape. I’ll take this over drugs
Yes, just thought if you could check that the correct ports are opened. I.e. is port 443 open for NGINX on Unraid? Is NGINX forwarding traffic to the correct port to your backend? Is the backend configured to allow traffic on a certain domain/all domains if it is handling HTTPS?