this post was submitted on 13 Nov 2023
1 points (100.0% liked)
LocalLLaMA
3 readers
1 users here now
Community to discuss about Llama, the family of large language models created by Meta AI.
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Why don't you use exl2? Assuming it's the A100 80GB, you can run up to 5bpw I think,
I have done quants at 3, 4.5 and 4.85bpw.
https://huggingface.co/Panchovix/goliath-120b-exl2
https://huggingface.co/Panchovix/goliath-120b-exl2-rpcal
I have 2x4090+1x3090, I get 2 t/s on GGUF (all layers on GPU) vs 10 t/s on exllamav2.
Thanks. Will try this. No idea how these really work so that is why i am asking :)
I'm sorry for a little side-track, but how much context you able to squeeze into your 3 GPUs with Goliath's 4bit quant?
I'm considering to add another 3090 to my own doble-GPU setup just to run this model.
I tested 4K and it worked fine at 4.5bpw. Max will be prob about 6k. I didn't use 8bit cache
Now 4.5bpw is kinda overkill, 4.12~ bpw is like 4bit 128g gptq, and that would let you use a lot more context.
That is awesome. What kind of platform do you use for that 3 GPUs setup?
Wait what? I am getting 2-3t/s on 3x P40 running Goliath GGUF Q4KS.