Running Bloom about bigscience

[aljungberg]

Right now, 8*80GB A100 or 16*40GB A100 [GPUs]. With the "accelerate" library you have offloading though so as long as you have enough RAM or even just disk for 300GB you're good to go (but slower).

Source: https://www.infoq.com/news/2022/07/bigscience-bloom-nlp-ai/

According to this post you can run it on consumer hardware at 3 minutes/token.

According to this post even on pretty good GPU hardware it can take 90 seconds/token though. Seems like you need really upper range systems to run it quickly.

[celsofranssa]

For inference only, what are the minimum requirements for RAM and GPU memories?

[aljungberg]

About 350 GB of GPU RAM (~200 GB if you quantise to int8).

[celsofranssa]

About 350 GB of GPU RAM (~200 GB if you quantise to int8).
For inference only?

[aljungberg]

Yep, need to get all those parameters into GPU RAM to run inference. Like I mentioned, you can use the accelerate framework to do "swapping" from CPU RAM to GPU RAM, which lets you do it with much less GPU RAM at a ridiculous speed penalty.