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Zero-3 Offload: Scale DL models to trillion parameters without code changes

deepspeed.ai

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Re: Zero-3 Offload: Scale DL models to trillion parameters without code changes

#4
post #3

GPT-NeoX is an example project that is using deepspeed and Zero-3 offloading. The wider project intend to train a GPT-3 sized model and release it freely to the world. https://github.com/EleutherAI/gpt-neox

It seems like Zero-3 doesn't work for them:

https://github.com/EleutherAI/gpt-neox/issues/171

Re: Zero-3 Offload: Scale DL models to trillion parameters without code changes

#6
Support for this was also added to [Fairscale](https://fairscale.readthedocs.io/en/latest/) and [Fairseq](https://github.com/pytorch/fairseq) last week. In particular, the Fairscale implementation can be used in any pyotrch project without requiring the use of the Deepspeed trainer.

Re: Zero-3 Offload: Scale DL models to trillion parameters without code changes

#9
post #4
post #3

GPT-NeoX is an example project that is using deepspeed and Zero-3 offloading. The wider project intend to train a GPT-3 sized model and release it freely to the world. https://github.com/EleutherAI/gpt-neox

It seems like Zero-3 doesn't work for them: https://github.com/EleutherAI/gpt-neox/issues/171

Did you even read through the issue? I don't see anything that indicates it won't work.
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