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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?。传奇私服新开网｜热血传奇SF发布站｜传奇私服网站对此有专业解读
Interestingly, total table/collection size - including indexes - is over 2x smaller on Mongo: 1584 / 710 = 2.23. Indexes are likewise smaller - not surprising, since MongoDB compresses data of collections and indexes by default. Let's take a peek at products as well:，更多细节参见超级权重