Kairos: a byte-level foundation model for every modality uses LiZAttention2, block-wise attention-residual aggregation, sparse MoE FFN, and a multi-scale byte-level codec
Read the original at arxiv.org→arXiv:2610.12495v1 Announce Type: new Abstract: Small language models trained on a single local machine leave little room for architectural trial and error. Kairos combines bidirectional gated-DeltaNet linear...
Original headline: "Kairos: Toward a Byte-Level Foundation Model for Every Modality"
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- Oct 12, 04:00 UTC arXiv cs.LG lead source Kairos: Toward a Byte-Level Foundation Model for Every Modality