README.md

metadata

license: mit
language:
  - und
tags:
  - tokenizer
  - bpe
  - flexitok
  - fineweb2
datasets:
  - flexitok/mod-arithmetic

Byte-Level BPE Tokenizer: numeric (11K)

A Byte-Level BPE tokenizer trained on numeric data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	numeric
Target Vocab Size	11,006
Final Vocab Size	11,006
Pre-tokenizer	byte_level
Number handling	ltr_4digit
Contraction handling	False
Normalizer	NONE
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	1

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("None")
tokens = tokenizer.encode("Hello, world!")

Files

• tokenizer.json — Full HuggingFace tokenizer
• vocab.json — Vocabulary mapping
• merges.txt — BPE merge rules

Sample Encoding

Text	Tokens	Token IDs
103500109 mod 67	1035, 0010, 9, , mod, , 67	594, 10091, 16, 6, 4, 6, 53