diff --git a/hpvm/docs/getting-started.rst b/hpvm/docs/getting-started.rst
index 2054c46d0a1eeaa3eb65afed8ab11696418e21d4..a3cd05da837d730e06ff74aca6f8846697919448 100644
--- a/hpvm/docs/getting-started.rst
+++ b/hpvm/docs/getting-started.rst
@@ -15,7 +15,7 @@ The result will be a figure showing the accuracy-performance tradeoff of VGG16 o
 * Please check ``test/dnn_benchmarks/model_params/`` exists and contains 
   ``vgg16_cifar10/`` and ``pytorch/vgg16_cifar10.pth.tar``,
   which may not be the case if you opted out of model parameter download in the installer.
-  In that case, you may run the installer again to download the parameter.
+  In that case, you may run the installer again to download the model parameters.
   It will not rebuild everything from scratch.
 
 Generating and Compiling a DNN Model