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@@ -35,4 +35,12 @@ State of the art, small language model pretrained from scratch on a diverse set
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  | [Surjo-100m](https://huggingface.co/SurjoLabs/Surjo-100m) | 97.7M | 35.05% | 63.87% | 47.64% | 25.85% | 38.90% | 18.86 |
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- We used the revision on step 900,000 for evaluations which trained for around 120 billion bytes which is around 30 to 35 billion bpe tokens. For more details on the evals and inference, please have a look at the [official notebook](https://huggingface.co/dotlabs/void.1/blob/main/evals.ipynb).
 
 
 
 
 
 
 
 
 
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  | [Surjo-100m](https://huggingface.co/SurjoLabs/Surjo-100m) | 97.7M | 35.05% | 63.87% | 47.64% | 25.85% | 38.90% | 18.86 |
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+ We used the revision on step 900,000 for evaluations which trained for around 120 billion bytes which is around 30 to 35 billion bpe tokens. For more details on the evals and inference, please have a look at the [official notebook](https://huggingface.co/dotlabs/void.1/blob/main/evals.ipynb).
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+ ```bibtex
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+ @misc{dotlabs,
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+ title = {void: bytes is all you need},
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+ author = {appvoid},
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+ year = {2026},
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+ url = {https://huggingface.co/dotlabs/void.1}
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+ }