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4bit Adam

huggingface/transformers#30172·166457·Python·803 天未动·2 条评论·上游最近活跃 ·池内状态:可认领
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### Feature request Is there any chance we coukd get this 4bit adam optimizer added to tranformers? It has nearly the same performance as 32bit adam with significant drop in vram overhead. [repo](https://github.com/thu-ml/low-bit-optimizers) [Paper](https://arxiv.org/abs/2309.01507) With this added qlora would be even more memory efficient, and theoretically, you should be capable of FFT a 7b on a 24gb card. ### Motivation The github repo has a paper which shows negligible difference between 32bit and 4bit adam, and they have the code for the adam optimizer here: [4bit code](https://github.com/thu-ml/low-bit-optimizers/blob/main/lpmm/optim/adamw.py) Or one bit adamw from deep speed, I only didn't recommend it since digging through the deep speed code, it isn't as laid out as this one is with a whole dedicated script. While yeah you can always use deepspeed and transformers, but deepspeed comes with its own set of draw backs, such as windows compatibility, and unsloth compatibility. But either or a one bit adamw would be awesome. Aside from that there aren't too many other ways to save memory for qlora. I mean theoretically if someone had the will, they could make a bitnet adamnw, that runs on the cpu. Since bit net doesn't need matmuls, the entire computation could be offloaded to the cpu. It would be actually fast, so the training wont be bogged down. ### Your contribution Submit feature request
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