flexitok/bpe_ltr_fw_edu_4000_v2

Byte-Level BPE Tokenizer: fw_edu (4K)

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

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	fw_edu
Target Vocab Size	4,000
Final Vocab Size	5,048
Pre-tokenizer	custom:fw_edu
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_fw_edu_4000_v2")
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
Hello, world! 12345 This is a test. こんにちは	H, ell, o, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ã, ģ, ĵ, ã, Ĥ	42, 477, 81, 14, 904, 3, 223, 4983, 3405, 655, 313, 260, 1074, 16, 223, 162, 226, 244, 162, 227