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
Programming is my main use case for LLMs and I think it’s too slow right now. In the 30 seconds it takes a local llama to give me an answer I’ve already figured it out.
I’m definitely keeping an eye on it though. Our org is really interesting in training models on our code base and customer data.
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 out in my own that it was ‘hallucinating’ again. There’s nothing better for learning than troubleshooting, though!
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.
Don’t get me wrong, I use copilot and it’s super handy, especially for menial things. I just don’t have all day to wait for a local llm to spit out an answer.
I was using ollama + code llama + continue extension in vscode. The answers are pretty decent, but yeah, too slow and no inline suggestions. I think (not an expert) a machine with a graphics card would be more performant, but we can’t just build a suitable pc for 100 engineers.
I also don’t own the code so privacy isn’t my concern lol so copilot suits my needs just fine.
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.
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.
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 open source
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.modelfileAbsolutely 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 played around with a few of them. I’ve found LM Studio the most robust and user friendly.
I’m actively using ollama with docker to run llama2:13b model. It’s generally works fine but heavy on resources as expected.
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.
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.
Recntly started using HuggingChat 🤗
ollama + codellama works perfect, I use it from neovim with a plug-in called gen-nvim I think
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
Not with success but I’m using huggingface since a couple of days. You may want to have a look into it
