A LoRA adapter for Qwen/Qwen3-4B — the in-context reader of the Quorum 24-shot intent-classification ensemble. Given 24 retrieved examples in the prompt (no weight update), it scores every candidate label in a single forward pass. Combined (geometric mean) with a frozen BAAI/bge-large-en-v1.5 nearest-neighbour over the same 24 examples, the ensemble reaches 0.932 on Banking77 (full 3,080 test) — above the closed API Jev's 0.924 at Jev's own 24-shot protocol. In our study a further configuration (per-class descriptions + a calibration-selected combination) reached 0.938 and significantly beat Jev on a paired McNemar test LoRA (r = 64) on Qwen/Qwen3-4B, fine-tuned on a mixture of public…