The model file loads. Lengthen the input and generation slows, and memory climbs. One block does layer norm, then causal self-attention plus a residual, then the feed-forward, then another residual. A small 3 by 4 tensor runs through one block. The output shape matches the input. The K and V row counts equal this call's length. This note does not train.