diff --git a/engines/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtNDArrayTest.java b/engines/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtNDArrayTest.java
index 0423725a60d..83b01f7a1e8 100644
--- a/engines/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtNDArrayTest.java
+++ b/engines/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtNDArrayTest.java
@@ -12,8 +12,11 @@
  */
 package ai.djl.pytorch.integration;
 
+import ai.djl.engine.EngineException;
 import ai.djl.ndarray.NDArray;
 import ai.djl.ndarray.NDManager;
+import ai.djl.ndarray.types.DataType;
+import ai.djl.ndarray.types.Shape;
 
 import org.testng.Assert;
 import org.testng.annotations.Test;
@@ -34,4 +37,12 @@ public void testStringTensor() {
             Assert.assertThrows(UnsupportedOperationException.class, () -> arr.get(0));
         }
     }
+
+    @Test
+    public void testLargeTensor() {
+        try (NDManager manager = NDManager.newBaseManager()) {
+            NDArray array = manager.zeros(new Shape(10 * 2850, 18944), DataType.FLOAT32);
+            Assert.assertThrows(EngineException.class, array::toByteArray);
+        }
+    }
 }
diff --git a/engines/pytorch/pytorch-native/src/main/native/ai_djl_pytorch_jni_PyTorchLibrary_tensor.cc b/engines/pytorch/pytorch-native/src/main/native/ai_djl_pytorch_jni_PyTorchLibrary_tensor.cc
index f33f1061bf6..e6aa2c145b4 100644
--- a/engines/pytorch/pytorch-native/src/main/native/ai_djl_pytorch_jni_PyTorchLibrary_tensor.cc
+++ b/engines/pytorch/pytorch-native/src/main/native/ai_djl_pytorch_jni_PyTorchLibrary_tensor.cc
@@ -308,8 +308,13 @@ JNIEXPORT jbyteArray JNICALL Java_ai_djl_pytorch_jni_PyTorchLibrary_torchDataPtr
   // sparse and mkldnn are required to be converted to dense to access data ptr
   auto tensor = (tensor_ptr->is_sparse() || tensor_ptr->is_mkldnn()) ? tensor_ptr->to_dense() : *tensor_ptr;
   tensor = (tensor.is_contiguous()) ? tensor : tensor.contiguous();
-  jbyteArray result = env->NewByteArray(tensor.nbytes());
-  env->SetByteArrayRegion(result, 0, tensor.nbytes(), static_cast<const jbyte*>(tensor.data_ptr()));
+  size_t nbytes = tensor.nbytes();
+  if (nbytes > 0x7fffffff) {
+    env->ThrowNew(ENGINE_EXCEPTION_CLASS, "toByteBuffer() is not supported for large tensor");
+    return env->NewByteArray(0);
+  }
+  jbyteArray result = env->NewByteArray(nbytes);
+  env->SetByteArrayRegion(result, 0, nbytes, static_cast<const jbyte*>(tensor.data_ptr()));
   return result;
   API_END_RETURN()
 }