现在LLM 的大小为什都设计成6/7B、13B和130B几个档次？ - 知乎
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Training Compute-Optimal Large Language Models. 根据Scaling Law，给定计算量（FLOPS）训练出来的最优模型（达到最好模型效果）的训练数据集的token数和模型参数数目是确定的。比如Gopher模型的计算量预算是5.76 × 10^23 FLOPs，那么达到最优效果的参数量是63B，数据集中Token数目 ...
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