Breaking Down Model Vocabulary Barriers With Tokenizer Transplantation
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Arcee AI editorial sitemap
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Arcee AI editorial sitemap
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Terms in this piece · Glossary
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.
distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
Why it matters
Swapping a model's tokenizer without retraining removes the shared-vocabulary constraint that blocks cross-family distillationTraining a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.Full definition → and merging, at 96% retained performance and minutes of compute instead of days.
