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at last, we provide an illustration of an entire language product: a deep sequence product spine (with repeating Mamba blocks) + language model head. running on byte-sized tokens, transformers scale badly as every single token should "attend" to each other token resulting in O(n2) scaling rules, Consequently, Transformers choose to use subword tok

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