Quantized Credit Model Scorer

Runs a fixed, int8-quantized logistic-regression-class credit-decisioning model as a pure integer inference kernel and returns the score it produced from the supplied normalized inputs. Proves that THIS fixed quantized model produced THIS score from THESE inputs. It is not a fairness attestation and not a model-quality certification, and the underlying model is a synthetic offline demand-test artifact, not fit for real regulatory credit decisioning. The quantization_parity block on the artifact records the float-vs-quantized agreement rate measured over 1000 held-out vectors.

Tool URL: https://ainumbers.co/chaingraph/art-348-score-credit-model-quantized.html AP2/Policy Mandate export: yes