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Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization
Large Language Models (LLMs) have achieved widespread adoption because of their strong reasoning and query-response capabilities. However, deploying them in embedded and edge computing environments remains challenging because of strict latency, memory, and energy constraints. Their large parameter c
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