diff --git a/demo/binary_classification/README.md b/demo/binary_classification/README.md
index 0a35b5987..2dd7c1445 100644
--- a/demo/binary_classification/README.md
+++ b/demo/binary_classification/README.md
@@ -102,7 +102,7 @@ After training, we can use the output model to get the prediction of the test da
 For binary classification, the output predictions are probability confidence scores in [0,1], corresponds to the probability of the label to be positive.
 
 #### Dump Model
-This is a preliminary feature, so far only tree model support text dump. XGBoost can display the tree models in text files and we can scan the model in an easy way:
+This is a preliminary feature, so only tree models support text dump. XGBoost can display the tree models in text or JSON files, and we can scan the model in an easy way:
 ```
 ../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt
 ../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
diff --git a/doc/parameter.rst b/doc/parameter.rst
index 82d1fe7b0..635d60cb6 100644
--- a/doc/parameter.rst
+++ b/doc/parameter.rst
@@ -361,6 +361,10 @@ The following parameters are only used in the console version of XGBoost
 
   - Feature map, used for dumping model
 
+* ``dump_format`` [default= ``text``] options: ``text``, ``json``
+
+  - Format of model dump file
+
 * ``name_dump`` [default= ``dump.txt``]
 
   - Name of model dump file