diff --git a/api/src/main/kotlin/org/jetbrains/kotlinx/dl/api/inference/keras/ModelSaver.kt b/api/src/main/kotlin/org/jetbrains/kotlinx/dl/api/inference/keras/ModelSaver.kt
index 9e9adcd7f..88663a5ab 100644
--- a/api/src/main/kotlin/org/jetbrains/kotlinx/dl/api/inference/keras/ModelSaver.kt
+++ b/api/src/main/kotlin/org/jetbrains/kotlinx/dl/api/inference/keras/ModelSaver.kt
@@ -68,7 +68,7 @@ internal fun GraphTrainableModel.serializeModel(isKerasFullyCompatible: Boolean)
     (kerasLayers.first().config as LayerConfig).batch_input_shape =
         listOf(null, inputShape[0], inputShape[1], inputShape[2]) // TODO: refactor with method for Input layer
 
-    val config = KerasModelConfig(name = "", layers = kerasLayers)
+    val config = KerasModelConfig(name = name, layers = kerasLayers)
     return KerasModel(config = config)
 }
 
diff --git a/api/src/test/kotlin/org/jetbrains/kotlinx/dl/api/core/models/SequentialCompilationTest.kt b/api/src/test/kotlin/org/jetbrains/kotlinx/dl/api/core/models/SequentialCompilationTest.kt
index 92bd29ba0..3e51f646e 100644
--- a/api/src/test/kotlin/org/jetbrains/kotlinx/dl/api/core/models/SequentialCompilationTest.kt
+++ b/api/src/test/kotlin/org/jetbrains/kotlinx/dl/api/core/models/SequentialCompilationTest.kt
@@ -82,7 +82,9 @@ internal class SequentialModelTest {
             biasInitializer = Constant(0.1f),
             name = "dense_2"
         )
-    )
+    ).apply {
+        name = "sequential_model"
+    }
 
     @Test
     fun buildModel() {
@@ -99,6 +101,8 @@ internal class SequentialModelTest {
     @Test
     fun summary() {
         correctTestModel.use {
+            assertEquals("sequential_model", it.name)
+
             it.compile(optimizer = Adam(), loss = Losses.SOFT_MAX_CROSS_ENTROPY_WITH_LOGITS, metric = Accuracy())
             val layerDescriptions = it.summary()
             assertTrue(layerDescriptions[1].contentEquals("conv2d_1(Conv2D)                       [None, 28, 28, 32]        832"))