Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
BYOB also can't be used with async iteration or TransformStreams, so developers who want zero-copy reads are forced back into the manual reader loop.
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710 BITS32 RPT ; ← stall here until PLA result arrives
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