I’m interested in hosting something like this, and I’d like to know experiences regarding this topic.
The main reason to host this for privacy reasons and also to integrate my own PKM data (markdown files, mainly).
Feel free to recommend me videos, articles, other Lemmy communities, etc.
I tired a bunch, but current state of the art is
text-generation-webui, which can load multiple models and has a workflow similar tostable-diffusion-webui.I’ve tried both this and https://github.com/jmorganca/ollama. I liked the latter a lot more; just can’t remember why.
GUI for ollama is a separate project: https://github.com/ollama-webui/ollama-webui
Absolutely yes. You can try GPT4ALL which works on any decent CPU computer (the minimum I managed to run it with is a 2018 6 core 2.0ghz ARM64 processor) and has a lot of built in models. You can also import uncensored models (like the TheBloke ones on Huggingface ).
I also tried AutoGPT some times ago which is quite complex and cool.
Checkout ollama.
There’s a lot of models you can pull from the official library.
Using ollama, you can also run external gguf models found on places like huggingface if you use a modelfile with something as simple as
echo "FROM ~/Documents/ollama/models/$model_filepath" >| ~/Documents/ollama/modelfiles/$model_name.modelfileDbzero Lemmy has a relationship with the Horde AI shared LLM group. My primary use is for chat roleplay but they have streamlined guides to hosting your own models for personal or horde use. One of the primary interfaces is SillyTavern but they integrate numerous models
I’ve been using a number of different tools which I interface to my nextcloud.
My main nextcloud has a llm plugin which was really easy to install, you just install the plug-in, make sure that you are configured properly with python in your path, and then run an OCC command to download one of a few models.
I also hosted localAI, which was a little bit more involved, but the website did a decent enough job of explaining exactly all the things that you needed to do in order to get all the different types of AI model working. Besides LLMs, it also supports text to speech, speech to text, and image generation.
Two things that are important: first, if you are server doesn’t have a pretty advanced video card then you’re going to be using the CPU exclusively for AI, and that’ll be pretty slow. Second, I found it very quickly that the amount of RAM you have is critical. My main server is a core i5 4th gen, and so I put AI software on another one of my servers which is a core i5 7th gen. You would think that the latter would work a lot better, but it had half the ram, and it basically wasn’t even able to get started.
Besides hosting ai, if you have a desktop computer or gaming laptop you can run local AI models. There’s a fantastic piece of software called Faraday that works pretty well on my laptop. You can get more and more sophisticated models depending on how much memory you have.
Krita has AI dal-e support for image generation available as a plug-in. I haven’t used it yet because I just got it started downloading last night before I went to bed, but the installation process has defined in the video seems accurate and was extremely easy and mostly automated.
I’m actively using ollama with docker to run llama2:13b model. It’s generally works fine but heavy on resources as expected.
ollama + codellama works perfect, I use it from neovim with a plug-in called gen-nvim I think
