diff --git a/R/stan_glm.R b/R/stan_glm.R
index 94c4acf34..b332355af 100644
--- a/R/stan_glm.R
+++ b/R/stan_glm.R
@@ -236,6 +236,7 @@ stan_glm <-
   if (is.empty.model(mt))
     stop("No intercept or predictors specified.", call. = FALSE)
   X <- model.matrix(mt, mf, contrasts)
+  contrasts <- attr(X, "contrasts")
   weights <- validate_weights(as.vector(model.weights(mf)))
   offset <- validate_offset(as.vector(model.offset(mf)), y = Y)
   if (binom_y_prop(Y, family, weights)) {
@@ -277,7 +278,7 @@ stan_glm <-
   fit <- nlist(stanfit, algorithm, family, formula, data, offset, weights,
                x = X, y = Y, model = mf,  terms = mt, call, 
                na.action = attr(mf, "na.action"), 
-               contrasts = attr(X, "contrasts"), 
+               contrasts = contrasts, 
                stan_function = "stan_glm")
   
   out <- stanreg(fit)
diff --git a/tests/testthat/test_stan_glm.R b/tests/testthat/test_stan_glm.R
index 6f18f735c..fcc91ac88 100644
--- a/tests/testthat/test_stan_glm.R
+++ b/tests/testthat/test_stan_glm.R
@@ -457,3 +457,12 @@ test_that("posterior_predict compatible with glms", {
   expect_linpred_equal(fit_igaus)
   
 })
+
+
+test_that("contrasts attribute isn't dropped", {
+  contrasts <- list(wool = "contr.sum", tension = "contr.sum")
+  fit <- stan_glm(breaks ~ wool * tension, data = warpbreaks,
+                 contrasts = contrasts, 
+                 chains = 1, refresh = 0)
+  expect_equal(fit$contrasts, contrasts)
+})