Deployment & Inference · Level 3 of 5
Pruning
Removing or disabling model components to reduce size or computation.
Unstructured sparsity only accelerates execution when the runtime can exploit it.
Example
Low-importance connections are removed before fine-tuning.
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Pruning. Removing or disabling model components to reduce size or computation. Unstructured sparsity only accelerates execution when the runtime can exploit it. For example: Low-importance connections are removed before fine-tuning.
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This helps you balance prediction quality with memory, latency, and throughput.
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