Seven LoRA adapters trained on the same dataset, one variable changed at a time: the three original runs below, plus a four-point learning-rate ladder under lr-sweep/. F16/Q80 GGUFs for the original three. The original three runs were evaluated on loss curves and spot generations only; the ladder adds an out-of-domain loss axis and a generation-level composition probe (sections below). Multi-turn dialogue packed to 512-token samples — 13,667 samples, 6.16M tokens total. Turns are delimited by headers — short per-character abbreviations, not names. Unattributed narration is folded into the speaker's turn: The pack was built in two phase-shifted passes — the second pass offsets every chunk…
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