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...@@ -89,7 +89,7 @@ significant memory. The current implementation (stage 1 of ZeRO) reduces memory ...@@ -89,7 +89,7 @@ significant memory. The current implementation (stage 1 of ZeRO) reduces memory
4x relative to the state-of-art. You can read more about ZeRO in our [paper](https://arxiv.org/abs/1910.02054). 4x relative to the state-of-art. You can read more about ZeRO in our [paper](https://arxiv.org/abs/1910.02054).
With this impressive memory reduction, early adopters of DeepSpeed have already With this impressive memory reduction, early adopters of DeepSpeed have already
produced alanguage model (LM) with over 17B parameters called produced a language model (LM) with over 17B parameters called
[Turing-NLG](https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft), [Turing-NLG](https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft),
establishing a new SOTA in the LM category. establishing a new SOTA in the LM category.
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