Submitted 3 months ago by Moshpirit@lemmy.world to selfhosted@lemmy.world
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.
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.
It’s good for me because I’m piss poor at programming. In my defense, I’m not a programmer or even programmer adjacent. I do see how it wouldn’t be useful to a pro. It also has occasionally given me garbage advice that an expert would spot right away while I had to figure it out was ‘hallucinating’ again.
I can absolutely see it getting useful for a pro. It’s already a better version of IDE templates. If you have to write boilerplate code this can already do that. It’s a huge time saver for the things you’d have to go look up to remember how to do and piece together yourself.
Example: today I wanted a quick way to serve my current working directory over HTTP so I could do some quick web work. I asked ChatGPT to write me a bash function I could stick in my profile to do this, and I told it to pick a random unused port. That would have taken me much longer had I went to lookup how to do that all. The only hint I gave it was to use the Python builtin module for serving http.
There’s a project called Tabby that your can host as a server on a machine that has a GPU, and has a VSCode extension that connects to the server.
The default model is called starcoder, and it’s the small version, 1B parameters. The downside is that it’s not super smart (but still an improvement over built in tools), but since it’s such a small model, I’m getting sub-second processing times.
You should make sure you are running a model that fits in your vram, for me it runs faster than any online LLM I’ve tried.
I’ve found it’s pretty good for translating between steps so to speak.
Converted some bash to python relatively quickly by giving it snippets and fixing errors as it made them.
I also had success generating an ansible playbook based on my own previously written install instructions for SillyTavern and llama.cpp.
I could do both of those tasks myself, but thar would be more difficult than having a mostly correct translation and fixing some errors.
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.
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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.
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.modelfile
Dbzero 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 opeb source
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
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.
Yes, mostly 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?
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. You can run some good models on a decent home but training and fine tuning will likely require renting out some cloud gpus.
Don’t think there’s anything on lemmy yet.
!fosai@lemmy.world – has a good overview/introduction
Some of those are inactive, though.
Recntly started using HuggingChat 🤗
Huggingchat for image generation is beautiful beautiful nightmare fuel.
I seriously love it.
Not with success but I’m using huggingface since a couple of days. You may want to have a look into it
Last time I checked this, out of all the options available Serge was the simplest to host and use. Though you need a beefy computer to get fast and/or good responses.
If you want to be able to use your models from everywhere sefurely, then koboldcpp on the ai horde is your best option. Super easy to set up
New Lemmy Post: Have you tried LocalGPT PrivateGPT or other similar alternatives to ChatGPT? (https://lemmy.world/post/10435372)
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woodgen@lemm.ee 3 months ago
github.com/oobabooga/text-generation-webui github.com/KoboldAI/KoboldAI-Client
CumBroth@discuss.tchncs.de 3 months ago
I’ve tried both this and github.com/jmorganca/ollama. I liked the latter a lot more; just can’t remember why.
GUI for ollama is a separate project: github.com/ollama-webui/ollama-webui