I’ve recently played with the idea of self hosting a LLM. I am aware that it will not reach GPT4 levels, but beeing free from restraining prompts with confidential data is very nice tool for me to have.
Has anyone got experience with this? Any recommendations? I have downloaded the full Reddit dataset so I could retrain the model on this one as selected communities provide immense value and knowledge (hehe this is exactly what reddit, twitter etc. are trying to avoid…)
The best/easiest way to get started with a self-hosted LLM is to check out this repo:
https://github.com/oobabooga/text-generation-webui
Its goal is to be the Automatic1111 of text generators, and it does a fair job at it.
A good model that’s said to rival gpt-3.5 is the new Falcon model. The full sized version is too big to run on a single GPU, but the 7b version “only” needs about 16GB.
https://huggingface.co/tiiuae/falcon-7b
There’s also the Wizard-uncensored model that is popular.
https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored
There are a ton of models out there with new ones popping up every day. You just need to search around. The oobabooga repo has a few models linked in the readme also.
Edit: there’s also h20gpt, which seems really promising. I’m going to try it out in the next couple days.
How do you know how much ram the model needs?
The model creator usually mentioned it in the readme:
You will need at least 16GB of memory to swiftly run inference with Falcon-7B.
Usually the models support CPU inference. Tremendously slow but works in a pinch.
If you want extremely low code, I recommend GPT4All. The prebuilt binaries/exes run locally on CPU and give you a choice of model to use so you can try out a couple to see which you like the best. It’s remarkably quick on my Ryzen 7 3700X, and it doesn’t take long to get a little web server running with Langchain if you want to put in a bit more effort, too.
If you don’t have a good GPU then just use gpt4all
