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Our swarm workers kept re-reading files they had already read. Context compaction was summarising the tool output that held the file. Pasting the file into the summary does not fix it; returning the last turns verbatim does. Measured three ways on the same 27B.
Multi-token prediction is merged in llama.cpp and still an open PR in mlx-lm. I measured both on an M3 Ultra with the same model. Every default MTP setting was slower than no MTP at all, and the runtime that deletes the MTP head outright is still the fastest thing on the box.
