Specializing SLM vocabularies can cut inference cost by 77%
A Hugging Face post claims vocabulary specialization cut small-model inference cost by 77% in real applications; no further details were provided.
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A Hugging Face post claims vocabulary specialization cut small-model inference cost by 77% in real applications; no further details were provided.
The Functionalizer losslessly factors casing, diacritics and character repetition into reversible opcode prefixes, cutting tokenizer vocabulary needs by up to 19.7 percent.
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