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0 pointsHugsun1y ago0 comments

That makes sense. I imagine that there are significant performance tradeoffs but those are probably worth it in many cases. I would be somewhat surprised if Mamba can be made usefully fast with NumPy, but it would be a pleasant surprise.

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blagie1y ago

For me, there are plenty of old-school models which are still plenty useful and which run fine even on a modern, fast CPU and would do well with numpy, and even more so with cupy. Step through:

https://huggingface.co/learn/nlp-course/chapter1/1

And there's a pile of awesome. It feels pretty lame compared to GPT4o, ChatGPT, or even GPT3, but it's still super-useful a lot of the time, and not too resource-intensive.

(Disclaimer: That's the original Hugging Face course and is politely structured to work on reasonable machines too. They have other courses which require moderate GPU, and plenty of models which require crazy hardware.)

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0 pointsHugsun1y ago0 comments

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blagie1y ago

For me, there are plenty of old-school models which are still plenty useful and which run fine even on a modern, fast CPU and would do well with numpy, and even more so with cupy. Step through:

https://huggingface.co/learn/nlp-course/chapter1/1

And there's a pile of awesome. It feels pretty lame compared to GPT4o, ChatGPT, or even GPT3, but it's still super-useful a lot of the time, and not too resource-intensive.

j / k navigate · click thread line to collapse