11L GQA U-NET BODYx2
11-layer dim-512 GQA U-Net transformer base with XSA, BigramHash, value embedding, and SmearGate.
BODYvocab_size=1024 · num_layers=11 · model_dim=512 · num_heads=8 · num_kv_heads=4 · head_dim=64 · mlp_mult=3.0 · tie_embeddings=1
STRUCTUREencoder_layers=5 · decoder_layers=6 · skip_weights=5 · GQA attention · RMSNorm · relu_sq MLP · Muon matrix optimizer path
FEATURESBigramHash vocab=2048 dim=128 · XSA last_n=11 · rope_dims=16 · VE dim=128 layers=9,10 · SmearGate · logit_softcap=30
