rad-convert's GPTQ path reads importance from an imatrix GGUF; the reference
container's --kld-record pass emits per-expert and per-hidden Grams as raw
recordings. This folds them into one v3 file: a single expert-major f32 entry
per MoE layer plus the hidden-width entries, every data offset a multiple of
general.alignment as the loader requires.
Refusals, each one a silent-worse outcome the swift15 campaign hit: an expert
with no gram of its own carries the layer's pooled diagonal and the count is
reported (a silent zero is a down-quantized expert nobody priced); expert grams
with no pooled gram, a gram short by one float (names the file), the same global
expert recorded twice with different numbers, an empty recording directory, and
an existing output. --min-rows sets the noise floor below which a recording is
dropped. rows is u64 so a corpus that outgrows u32 survives the header instead
of wrapping.
