README.md

metadata

library_name: tokenizers
tags:
  - tokenizer
  - multilingual
  - byte-level-bpe
  - indigenous-languages
  - tachiwin

Tachiwin multilingual tokenizer

A multilingual ByteLevel-BPE tokenizer trained with Hugging Face Tokenizers.

Corpus weighting

Component	Target
Modern + old exotic-language data	70%
English	10%
Spanish	10%
Code	10%

The complete available exotic-language corpus is used as the 70% anchor. Its existing modern/old composition is preserved.

Tokenizer

• Model: BPE
• Vocabulary target: 256,000
• Initial alphabet: complete ByteLevel alphabet
• ByteLevel GPT-2 regex: disabled
• Unicode normalizer: none
• Special tokens: 126
• Human-language tags: 92

Corpus size

Total materialized corpus:

113,921,401 bytes (0.106 GiB)

Important training note

The Hugging Face BPE trainer does not expose an internal resumable merge-state checkpoint. The recipe therefore treats the completed tokenizer.json as the training checkpoint:

• corpus preparation is resumable;
• recipe/statistics/checksums are stored in recipe/;
• if tokenizer.json already exists, subsequent runs skip BPE training;
• an interrupted BPE computation itself must be restarted.

This avoids changing the training procedure merely to obtain artificial checkpointing.