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README.md

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+---
+license: mit
+language:
+- und  # ISO 639-3 code or "und" if not identifiable
+tags:
+- tokenizer
+- bpe
+- flexitok
+- fineweb2
+---
+
+# Byte-Level BPE Tokenizer: numeric (10K)
+
+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 | 10,007 |
+| Final Vocab Size | 10,007 |
+| Pre-tokenizer | byte_level |
+| Number handling | rtl_4digit |
+| 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 |
+|------|--------|-----------|
+| `12345009 mod 67` | `1234, 5009,  , mod,  , 67` | `11599, 15374, 6, 4, 6, 64` |

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "mod",
+    "=",
+    " "
+  ],
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}