diff --git a/src/beanmachine/ppl/diagnostics/tools/utils/model_serializers.py b/src/beanmachine/ppl/diagnostics/tools/utils/model_serializers.py
index 760a5417f..8c84f99c6 100644
--- a/src/beanmachine/ppl/diagnostics/tools/utils/model_serializers.py
+++ b/src/beanmachine/ppl/diagnostics/tools/utils/model_serializers.py
@@ -13,27 +13,16 @@
 def serialize_bm(samples: MonteCarloSamples) -> Dict[str, List[List[float]]]:
     """
     Convert Bean Machine models to a JSON serializable object.
-
     Args:
         samples (MonteCarloSamples): Output of a model from Bean Machine.
-
     Returns
         Dict[str, List[List[float]]]: The JSON serializable object for use in the
             diagnostics tools.
     """
     model = dict(
         sorted(
-            {str(key): value for key, value in samples.items()}.items(),
+            {str(key): value.tolist() for key, value in samples.items()}.items(),
             key=lambda item: item[0],
         ),
     )
-    retval = {}
-    for node in model:
-        if model[node].ndim > 2:
-            # e.g. tensor of shape (4, 100, 3, 2) will generate a slice that's
-            # equivalent to [:, :, 0, 0]
-            slicer = (slice(None), slice(None)) + (0,) * (model[node].ndim - 2)
-            model[node] = model[node][slicer]
-        retval[node] = model[node].tolist()
-
-    return retval
+    return model