#1 on sub-100m on the open slm leaderboard!

👋 Meet void.1

State of the art, small language model pretrained from scratch on a diverse set of high-quality texts and an internal symbolic kernel. This is the first step into a series of models designed for fine-grained understanding of abstract/symbolic reasoning on text while being grounded on english.

Comparison

Model	Params	HellaSwag	PIQA	ARC-Easy	ARC-Challenge	ArithMark-3	Intelligence Index
void.1*	90.15M	38.68%	67.46%	47.31%	28.16%	44.80%	23.92
100M-exp	98.16M	37.78%	66.97%	49.83%	27.22%	40.00%	22.47
Rose-1.5-Medium	98.28M	38.09%	64.80%	47.22%	27.13%	40.70%	21.07
tinctura-v1	96.2M	37.96%	65.61%	47.98%	25.77%	38.40%	20.81
Surjo-100m	97.7M	35.05%	63.87%	47.64%	25.85%	38.90%	18.86

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.

@misc{dotlabs,
  title  = {void: bytes is all you need},
  author = {appvoid},
  year   = {2026},
  url    = {https://huggingface.co/dotlabs/void.1}
}