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tokenizers v1:编码、解码与扩展性实测

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tokenizers v1: encode, decode and scaling, measured

Hugging Face's tokenizers v1 release candidate reworks the encode path with a hand-written SIMD splitter, word cache, allocation-free merge loop and native parallelism, delivering 3–30x faster encoding than v0.23 while producing identical token IDs.