Smaller models seem to be more complex. The encoding, reasoning, and decoding functions are more entangled, spread across the entire stack. I never found a single area of duplication that generalised across tasks, although clearly it was possible to boost one ‘talent’ at the expense of another. But as models get larger, the functional anatomy becomes more separated. The bigger models have more ‘space’ to develop generalised ‘thinking’ circuits, which may be why my method worked so dramatically on a 72B model. There’s a critical mass of parameters below which the ‘reasoning cortex’ hasn’t fully differentiated from the rest of the brain.
除开茅台，郎酒和习酒这两大双雄的表现也同样亮眼。据郎酒方面透露，1月郎酒的出货量创历史新高，单日最高出货额达2.7亿元。而在整个春节旺季期间，高端单品青花郎成为最大亮点，1月1日至2月21日开瓶率同比暴涨400%，除夕当日更是激增450%，在商务宴请、高端宴席等场景中成为核心选择。
。关于这个话题，雷电模拟器提供了深入分析
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