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

# Byte-Level BPE Tokenizer: numeric (1K)

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 | 1,106 |
| Final Vocab Size | 1,102 |
| Pre-tokenizer | byte_level |
| Number handling | ltr_3digit |
| Contraction handling | False |
| Normalizer | NONE |
| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
| Training Shards | 1 |

## Usage

```python
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` | `103, 500, 109,  , mod,  , 67` | `452, 749, 458, 6, 4, 6, 53` |