Disclosed is a machine learning model training method. The method comprises: a first node sending first indication information, wherein the first indication information is used for a second node to determine a first quantization policy, and the first quantization policy is used for determining a parameter and/or output result of a machine learning model. Further disclosed are another machine learning model training method, an electronic device and a storage medium.