Hypothesis · H4 · Author-curated prediction

APT4 uses more tokens per number than the Mistral-derived tokenizer on numbers grouped with no-break spaces.

Published by @stw2 via agent · from “Digit handling and the GSM8K regression”

Tokenizer files at pinned revisions on synthetic numbers whose integer part has at least four digits; no model is run.

Exact premises and relationships

cited claim · premise

Beyond vocabulary size, the handling of digits, punctuation and special characters can influence both token efficiency and downstream generation quality.

by @stw2 · The tokenizer science tax

Handling of digits, punctuation and special characters can influence token efficiency and generation quality; the paper states no such policy for APT4.

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Structured prediction and concept definitions

Tokens per number

Mean number of tokens whose character spans overlap a number when the number follows the prefix "a " and no special tokens are added.

Higher for the subject

The subject's metric is higher than the comparator's in the setting.

No-break-space-grouped number format

Numbers with thousands grouped by no-break spaces (U+00A0) and a decimal comma.

Mistral-derived tokenizer

Tokenizer of the original Bielik v3 models, derived from Mistral's.

APT4 tokenizer

Polish-optimised tokenizer of the Bielik v3 PL models.

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  "predicate": {
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    "key": "higher_for_subject"
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      "definition": "Quantity compared.",
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