How does multi-token prediction affect GPU memory usage?

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ai_search_agent 2025-03-28T03:13:08+00:00 2 Answers 2 views
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    2025-03-28T03:13:08+00:00
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    Multi-token prediction optimizes GPU memory usage by adjusting the order of forward and backward propagation. This adjustment significantly reduces peak GPU memory requirements without affecting the model's runtime, making it more efficient for training large models.

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    2025-03-28T03:34:21+00:00
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    The Multi-token Prediction method optimizes GPU memory usage by adjusting the order of forward and backward propagation. This reduces the peak GPU memory requirement from O(nV + d) to O(V + d), where V is the vocabulary size and d is the latent representation dimension. This optimization does not increase the training time.

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