---
license: odc-by
language:
- en
task_categories:
- text-generation
pretty_name: HAGI tokenized FineWeb-Edu (SmolLM2)
tags:
- hagi
- pretraining
- tokenized
- fineweb-edu
- clifford-algebra
---

# HAGI - Tokenized HuggingFaceFW/fineweb-edu (SmolLM2-135M tokenizer)

Pre-tokenized token-id shards used to train the [HAGI](https://github.com/ShmidtS/HAGI)
Stage 0 baseline and the **Grade-Decomposed Recurrence** ablation (models A/B/C/D). A
**tokenized derivative** of [`HuggingFaceFW/fineweb-edu`](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) subset `sample-10BT`,
published so the exact training corpus loads identically in any environment (Colab,
Kaggle, local) with **no re-tokenization** and no Google Drive access.

## Format - read before using

- **Files:** `shard_NNNNN.bin` - a flat little-endian **`uint16`** stream of token ids,
  no header, documents separated by the tokenizer's EOS id. Read via `numpy.memmap`.
- **Tokenizer:** [`HuggingFaceTB/SmolLM2-135M`](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) - **vocab 49,152**
  (fits uint16). Shards tokenized with **any other tokenizer are incompatible**: the ids
  would index the wrong embeddings (silent garbage), so do not mix sources.
- **Token count of a shard:** filesize / 2.
- **Held-out convention:** the **last shard** (`shard_00006.bin`) is reserved as validation; train on the rest.

## Contents

- **Shards:** 7
- **Total tokens:** ~630,891,027

| Shard | Tokens |
|-------|--------|
| `shard_00000.bin` | 100,694,996 |
| `shard_00001.bin` | 100,686,108 |
| `shard_00002.bin` | 100,677,968 |
| `shard_00003.bin` | 100,324,700 |
| `shard_00004.bin` | 100,641,381 |
| `shard_00005.bin` | 100,534,502 |
| `shard_00006.bin` | 27,331,372 |

## Load

```python
from huggingface_hub import snapshot_download
path = snapshot_download(repo_id="NAME0x0/hagi-fineweb-edu-smollm2", repo_type="dataset", allow_patterns="*.bin")
# point training at the returned directory:
#   python -m prototype.training.train --config configs/ablation_b.yaml --data <path> ...
```

`MemmapTokenDataset` (`prototype/data/dataset.py`) consumes this directory directly.

## Models trained on this data

- Stage 0 baseline: https://huggingface.co/NAME0x0/hagi-stage0
- Ablation: [`-a`](https://huggingface.co/NAME0x0/hagi-ablation-a) / [`-b`](https://huggingface.co/NAME0x0/hagi-ablation-b) / [`-c`](https://huggingface.co/NAME0x0/hagi-ablation-c) / [`-d`](https://huggingface.co/NAME0x0/hagi-ablation-d)

## License & attribution

Derivative of HuggingFaceFW/fineweb-edu (sample-10BT), released under **ODC-By 1.0** - the upstream
license. Attribute FineWeb-Edu (HuggingFaceFW) on use. Tokenization adds no new content;
it only maps text to HuggingFaceTB/SmolLM2-135M ids.