# Distribution of the predictors in GLM

I am using a GLM to model my data. The response variable is binary and I have three predictors of which two are continuous variables and one is binary. Would the distribution of predictors be important when I am fitting the model? That is, would it be a problem if the distribution of the predictor is not uniform or Gaussian, for example?

After fitting the model, if I want to find the importance of each predictor, would their distribution be important here?