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DeepDive in everything of Llama3: revealing detailed insights and implementation
Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code. - therealoliver/Deepdive-llama3-from-scratch
It has been comprehensively improved and optimized on the basis of the original project, aiming to help everyone more easily understand and master the implementation principle and the detailed reasoning process of the Llama3 model. Every 4 query heads will share a set of key-value pairs.vocab_size128256Size of the vocabulary, including 128000 ordinary tokens and 256 special tokens.multiple_of1024Multiple constraint on the dimension of the hidden layer. At this time, we need to add the original input vector to it (i.e., the residual operation, to ensure that information is not easily lost and alleviate the problem of gradient vanishing).
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