Transformer models find applications in various applications, ranging from powerful multi-accelerator clusters to individual mobile devices. The varied requirements for inference in these settings make developers train fundamental models like PaLM 2, Llama, and ViTs in different sizes. However, the higher costs associated with training lead to a restricted set of supported model sizes. Large […]
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