| --- |
| language: |
| - en |
| --- |
| A tiny 55 million parameter model trained on 1.3 billion tokens using a custom dataset mixture. Context length of 1024 tokens. |
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| | Dataset | Weight | |
| |---|---| |
| | `HuggingFaceFW/fineweb-edu` | 50% | |
| | `epfml/FineWeb-HQ` | 30% | |
| | `HuggingFaceTB/cosmopedia` (stories split) | 20% | |
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| 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. |
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| 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. |
