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language:
- en
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A tiny 55 million parameter model trained on 1.3 billion tokens using a custom dataset mixture. Context length of 1024 tokens.

| Dataset | Weight |
|---|---|
| `HuggingFaceFW/fineweb-edu` | 50% |
| `epfml/FineWeb-HQ` | 30% |
| `HuggingFaceTB/cosmopedia` (stories split) | 20% |

The tokenizer is a basic bpe tokenizer that was trained on a smaller subset of 80_000 samples of this same data mixture with a vocab size of 8000.

This model has not undergone any post-training.

This base model is best suited for fine-tuning on specific tasks. On its own, it is very limited, but it is a pretty flexible foundation for applications such as toxic comment detection or sentiment analysis.