It is similar to smol llama varaints uses GQA and tied embeddings.
Except it uses mistral style arch with GQA and sliding window attention
This architecture takes GQA and tied embeddings to create an effeceint 0.5B model that uses the mistral architecture(It is supported in downstream applications)