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transformer-tricks
A collection of tricks to simplify and speed up transformer models by removing parts from neural networks. Includes Flash normalization, slim attention, matrix-shrink, precomputing the first layer, and removing weights from skipless transformers. Follows recent trends in neural network optimization.
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