Also check out LLM Studio and GPT4all. Both of these let you run private ChatGPT alternatives from Hugging Face and run them off your ram and processor (can also offload to GPU).
I’d also recommend Oobabooga if you’re already familiar with Automatic1111 for Stable diffusion. I have found being able to write the first part of the bots response gets much better results and seems to make up false info much less.
There’s also koboldcpp, which is fairly newbie friendly.
And llama file, which is a chat bot in a single executable file.
Are they as good as chatgpt?
Mistral is thought to be almost as good. I’ve used the latest version of mistral and found it more or less identical in quality of output.
It’s not as fast though as I am running it off of 16gb of ram and an old GTX 1060 card.
If you use LLM Studio I’d say it’s actually better because you can give it a pre-prompt so that all of its answers are within predefined guardrails (ex: you are glorb the cheese pirate and you have a passion for mink fur coats).
There’s also the benefit of being able to load in uncensored models if you would like questionable content created (erotica, sketchy instructions on how to synthesize crystal meth, etc).
I’m sure that meth is for personal use right? Right?
Absolutely. Synthesizing hard drugs is time consuming and a lot of hard work. Only I get to enjoy it.
No one gets my mushrooms either ;)
Can you provide links for those? I see a few and don’t trust search results
No.
I can’t find a way to run any of these on my homeserver and access it over http. It looks like it is possible but you need a gui to install it in the first place.
Something i am really missing is a breakdown of How good these models actually are compared to eachother.
A demo on hugging face couldnt tell me the boiling point of water while the authors own example prompt asked the boiling point for some chemical.
Open source good, together monkey strong 💪🏻
Build cool village with other frens, make new things, celebrate as village
Apes together *
It seems like usually when an LLM is called “Open Source”, it’s not. It’s refreshing to see that Jan actually is, at least.
Jan is just a frontend. It supports various models under multiple licence. It also supports some proprietary models.
Sure, Jan.
I have recently been playing with llamafiles, particularly Llava which, as far as I know, is the first multimodal open source llm (others might exist, this is just the first one I have seen). I was having it look at pictures of prospective houses I want to buy and asking it if it sees anything wrong with the house.
The only problem I ran into is that window 10 cmd doesn’t like the sed command, and I don’t know of an alternative.
Would it help to run it under WSL?
might be a good idea to use windows terminal or cmder and wsl instead of windows shells
WSL2
Powershell, maybe?
I would also reccommend faraday.dev as a way to try out different models locally using either CPU or GPU. I believe they have a build for every desktop OS.
Is it as good as chatgpt?
The question is quickly answered as none is currently that good, open or not.
Anyway it seems that this is just a manager. I see some competitors available that I have heard good things about, like mistral.
Local LLMs can beat GPT 3.5 now.
3.5 fuckin sucks though. That’s a pretty low bar to set imo.
I think a good 13B model running on 12GB of VRAM can do pretty well. But I’d be hard pressed to believe anything under 33B would beat 3.5.
