loaded RuntimeModel (its QuantizedLinears are the uniform baseline; their dequantized weights are the self-contained bf16 source).
the quantizable linears to probe, keyed by module path
(typically model.loraTargets()).
calibration samples — each a row of int32 token ids.
candidateBits (default [4,8]) and groupSize (default 64).
OptionalonProgress: (done: number, total: number, layerName: string) => void
Per-layer KL sensitivity of an already-quantized MLX model.