Abstract: A non-transitory computer-readable recording medium stores a learning model quantization program for causing a computer to execute a process including: in an objective function for searching for a combination of layers in which parameters of a machine-learned model using a neural network are quantized, the objective function including inference accuracy of the quantized model and an index related to a compression ratio of the model, setting a specific gravity such that the specific gravity of the index related to the compression ratio with respect to the inference accuracy decreases as the compression ratio increases; selecting a layer in which the objective function is optimized, as a layer in which the parameters are quantized; and outputting a relationship between the inference accuracy for the model obtained by quantizing the parameters of the selected layer and the index related to the compression ratio.