Let’s talk about our experiences working with different models, either known or lesser-known.
Which locally run language models have you tried out? Share your insights, challenges, or anything you found interesting during your encounters with those models.
Guanaco, WizardLM (uncensored) and Camel-13b have been the best models I’ve tried that are 13b+.
Surprisinly, the LaMini-LM (Flan 3b) and OpenLlama (3b) have performed very well for smaller models.
I’d have to say I’m very impressed with WizardLM 30B (the newer one). I run it in GPT4ALL, and even though it is slow the results are quite impressive.
Looking forward to Orca 13b if it ever releases!
Which one is the “newer” one? Looking at the quantised releases by TheBloke, I only see one version of 30B WizardLM (in multiple formats/quantisation sizes, plus the unofficial uncensored version).
guanaco-65B is my favorite. It’s pretty hard to go back to 33B models after you’ve tried a 65B.
It’s slow and requires a lot of resources to run though. Also, not like there are a lot of 65B model choices.
What do you even run a 65b model on?
With a quantized GGML version you can just run on it on CPU if you have 64GB RAM. It is fairly slow though, I get about 800ms/token on a 5900X. Basically you start it generating something and come back in 30minutes or so. Can’t really carry on a conversation.
Is it smart enough that it can get the thread of what you are looking for without as much rerolling or handholding, so this comes out better?
