I tried with WizardLM uncensored, but 8K seems to be too much for 4090, it runs out of VRAM and dies.
I also tried with just 4K, but that also seems to not work.
When I run it with 2K, it doesn’t crash but the output is garbage.
I hope llama.cpp supports SuperHOT at some point. I never use GPTQ but may need to make an exception to try out the larger context sized. Are you using exllama? Curious why you’re getting garbage output
Yeah llama.cpp with SuperHOT support would be great, and yeah I’m using exllama with oobabooga UI. I found out why I’m getting garbage output with 2k. It seems like SuperHOT 8K models, when run with 2k context, have a massive increase in perplexity.
(Higher perplexity, the worse the output quality).
So I’ll need to figure out if I can get at least 4K running without running out of VRAM.
Also, there is a new PR for exllama which uses a different method of getting higher context (not SuperHOT) and also has less perplexity loss. So that might be a better alternative potentially.
I read the guy’s blog post on SuperHOT and it sounded like it didn’t increase perplexity and kept perplexity super low with large contexts. I could have read it wrong but I thought it wasn’t supposed to increase perplexity.