The Blockbuster paper proposes fusing the entire FFN block (RMSNorm + gate matmul + up matmul + SwiGLU + down matmul) into a single cache-resident tiled pass. The agent tried to implement it but the weight matrices are quantized (Q4_0_8x8), and ggml_concat doesn’t work with repacked quantized tensors. Proper implementation requires model loader changes.
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