The problem is performance:
- if you have GPUs with > 330GB VRAM, it'll run fast
- otherwise, you'll run from RAM or NVMe, but very slowly - generating one token every few minutes or so (depending on RAM size / NVMe speed)
The future might be brighter: fp8 already exists and halves the RAM requirements (although it's still very hard to get it running), and there is ongoing research on fp4. Even that would still require 84GB of VRAM to run...
Actually you can, it even works without GPU, here's a guide on running BLOOM (the open-source GPT-3 competitor of similar size) locally: https://towardsdatascience.com/run-bloom-the-largest-open-ac...
The problem is performance: - if you have GPUs with > 330GB VRAM, it'll run fast - otherwise, you'll run from RAM or NVMe, but very slowly - generating one token every few minutes or so (depending on RAM size / NVMe speed)
The future might be brighter: fp8 already exists and halves the RAM requirements (although it's still very hard to get it running), and there is ongoing research on fp4. Even that would still require 84GB of VRAM to run...