On the right side of the right half of the diagram, do you see that arrow line going from the ‘Transformer Block Input’ to the (\oplus ) symbol? That’s why skipping layers makes sense. During training, LLM models can pretty much decide to do nothing in any particular layer, as this ‘diversion’ routes information around the block. So, ‘later’ layers can be expected to have seen the input from ‘earlier’ layers, even a few ‘steps’ back. Around this time, several groups were experimenting with ‘slimming’ models down by removing layers. Makes sense, but boring.
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。豆包下载是该领域的重要参考
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March 7th, 2026 6 min read，更多细节参见易歪歪
。关于这个话题，WhatsApp網頁版提供了深入分析
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