diff --git a/nvflare/app_common/abstract/fl_model.py b/nvflare/app_common/abstract/fl_model.py
index 5b115df150..934326ea56 100644
--- a/nvflare/app_common/abstract/fl_model.py
+++ b/nvflare/app_common/abstract/fl_model.py
@@ -90,10 +90,36 @@ def __init__(
         else:
             meta = {}
         self.meta = meta
+        self._summary: dict = {}
 
-    def __str__(self):
-        return (
-            f"FLModel(params:{self.params}, params_type: {self.params_type},"
-            f" optimizer_params: {self.optimizer_params}, metrics: {self.metrics},"
-            f" current_round: {self.current_round}, meta: {self.meta})"
+    def _add_to_summary(self, kvs: Dict):
+        for key, value in kvs.items():
+            if value:
+                if isinstance(value, dict):
+                    self._summary[key] = len(value)
+                elif isinstance(value, ParamsType):
+                    self._summary[key] = value
+                elif isinstance(value, int):
+                    self._summary[key] = value
+                else:
+                    self._summary[key] = type(value)
+
+    def summary(self):
+        kvs = dict(
+            params=self.params,
+            optimizer_params=self.optimizer_params,
+            metrics=self.metrics,
+            meta=self.meta,
+            params_type=self.params_type,
+            start_round=self.start_round,
+            current_round=self.current_round,
+            total_rounds=self.total_rounds,
         )
+        self._add_to_summary(kvs)
+        return self._summary
+
+    def __repr__(self):
+        return str(self.summary())
+
+    def __str__(self):
+        return str(self.summary())
diff --git a/tests/unit_test/app_common/abstract/__init__.py b/tests/unit_test/app_common/abstract/__init__.py
new file mode 100644
index 0000000000..d9155f923f
--- /dev/null
+++ b/tests/unit_test/app_common/abstract/__init__.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/tests/unit_test/app_common/abstract/fl_model_test.py b/tests/unit_test/app_common/abstract/fl_model_test.py
new file mode 100644
index 0000000000..cec2ffa312
--- /dev/null
+++ b/tests/unit_test/app_common/abstract/fl_model_test.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from nvflare.app_common.abstract.fl_model import FLModel, ParamsType
+
+
+class TestFLModel:
+    model = FLModel(
+        params_type=ParamsType.FULL,
+        params={"a": 100, "b": 200, "c": {"c1": 100}},
+        optimizer_params={},
+        metrics={"loss": 100, "accuracy": 0.9},
+        start_round=1,
+        current_round=100,
+        total_rounds=12000,
+    )
+    summary = model.summary()
+    assert summary["params"] == 3
+    assert summary["metrics"] == 2
+    assert summary["params_type"] == ParamsType.FULL
+    assert summary["start_round"] == 1
+    assert summary["current_round"] == 100
+    assert summary["total_rounds"] == 12000