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News/Small LLMs: Pruning vs. Training from Scratch
arxiv
PublishedJune 15, 2026 at 4:00 AM
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Small LLMs: Pruning vs. Training from Scratch

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arXiv:2606.14150v1 Announce Type: cross Abstract: Pruning promises a shortcut to strong small language models. In this work, we examine this promise by pruning Llama-3.1-8B at pruning ratios of 0.5--0.8 with six methods spanning depth, width, and sparse granularities, under two controlled token-matc

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