The answer
Ordinary parameter training can modify embeddings and other weights without changing the vocabulary indices. Changing a tokenizer’s vocabulary is a separate operation that requires model compatibility.
What is a token ID?
Do token IDs change when a model learns new facts?
More FAQs in What is a token ID?
Yes. IDs belong to a particular vocabulary. The same integer may refer to unrelated text in another tokenizer, so the matching tokenizer is essential.
No. The integer identifies a vocabulary entry. Its numerical size does not reliably express complexity, frequency, semantic similarity, or importance to the generated answer.
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