Recently just took the GenAI LLM course on coursera. A basic calculation is 1B params can be trained on a SINGLE A100 80GB GPU using bfloat16 quantization with room to spare.

I think it can consume up to 40GB of memory hence you can’t really go to 2B params. But that also means you might be okay with 1.5B without going over the 80GB limit

Tip: go to openAI’s hiring page and look up their infrastructure engineer requirements :)