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Credit: Connie Chornuk / Prime，这一点在新收录的资料中也有详细论述
I didn’t train a new model. I didn’t merge weights. I didn’t run a single step of gradient descent. What I did was much weirder: I took an existing 72-billion parameter model, duplicated a particular block of seven of its middle layers, and stitched the result back together. No weight was modified in the process. The model simply got extra copies of the layers it used for thinking?。业内人士推荐新收录的资料作为进阶阅读
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