OLS estimators are normally distributed regardless of the error distribution.

OLS estimators are unbiased and have minimum variance among all linear unbiased estimators.

OLS estimators minimize the sum of absolute residuals.

OLS estimators are always consistent even if predictors are correlated with errors.