Neural network model quantification method

The embodiment of the invention provides a neural network model quantification method, and the method comprises the steps: obtaining a quantification data set, and determining the initial parameter sensitivity feature information of each neural network layer according to the quantification data set; generating reference parameter information according to the initial parameter sensitivity feature information corresponding to each neural network layer; quantizing each reference parameter information based on at least one quantization strategy, and generating at least one neural network layer quantization result corresponding to each neural network layer; and determining a neural network model quantization result corresponding to the neural network model according to a target storage threshold value of a target storage device, the initial volume of the neural network model and each neural network layer quantization result corresponding to each neural network layer. The parameter information is generated accordin