How do you optimize memory usage when deploying large generative models in production

Question

Can you show me how to optimize memory usage when deploying large generative models using python code?

Answer 1

You can optimize memory usage when deploying large generative models by referring to the following:

In this reference code techniques like Quantization, Activation Checkpointing and mixed precision are used to optimize the memory usage when deploying generative models.

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