Miracle 1.5 FlashNano BaseLine

Miracle FlashNano is a 108M parameter dense language model.
The model architecture is a 16-layer GQA Transformer with hidden size 768, 12 query heads, 4 key/value heads, head dimension 64, and a 1,536-dimensional SwiGLU.
Layers 8 and 16 use global causal attention; the other 14 layers use an 8,192-token causal sliding window.
Input and output embeddings are tied.
This baseline model has only undergone pre-training.

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