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.
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.
Here is an alternative Piped link(s):
https://piped.video/aLy_vVLUHZk
https://piped.video/AU8NDSBIS1U
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
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.
Is there an amount of RAM that’s currently considered the bare minimum for CPU-only self-hosting?
If you’re using llama.cpp, have a look at the GGUF models by TheBloke on huggingface. He puts approximate RAM required in the readme based on the quantisation level.
From personal experience I’d estimate 12G for 7B models based on how full RAM was with 16 gigs. For mixtral at least 32G.
Thanks, appreciate it (I’m new to local text CPU models, I know it was a stupid question).
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 use koboldAI. It is local and open source
I’ve played around with a few of them. I’ve found LM Studio the most robust and user friendly.
Yes, mostly https://gpt4all.io/ only to find out that even the “uncensored” models are bullshit and won’t even provide you with a Windows XP Pro key. That’s kind of my benchmark for models nowadays. :P
Will it tell you how to make meth?
I’m actively using ollama with docker to run llama2:13b model. It’s generally works fine but heavy on resources as expected.
There’s a local llama subreddit with a lot of good information and 4chan’s /g/ board will usually have a good thread with a ton of helpful links in the first post. Don’t think there’s anything on lemmy yet. You can run some good models on a decent home pc but training and fine tuning will likely require renting out some cloud gpus.
Don’t think there’s anything on lemmy yet.
[email protected] – has a good overview/introduction
Some of those are inactive, though.
ollama + codellama works perfect, I use it from neovim with a plug-in called gen-nvim I think
Mixtral is an amazing one that isn’t super slow or require incredible hardware foe a decent speed.
In general this guy has really good videos/tutorials for the latest tools.
I haven’t tried any of them but I did just listen to a podcast the other week where they talk about LlamaGPT vs Ollama and other related tools. If you’re interested it’s episode 540: Uncensored AI on Linux by Linux Unplugged
“Uncensored” models are bullshit everything but uncensored. Just ask them for a Windows XP Pro key and you’ll see how uncensored they really are.
Recntly started using HuggingChat 🤗
Huggingchat for image generation is beautiful beautiful nightmare fuel.
I seriously love it.
I do image generation on AUTOMATIC1111
Really happy that i switched the text ai to something more opened that CloseAI
Not with success but I’m using huggingface since a couple of days. You may want to have a look into it
