diff --git a/tensorflow/compiler/mlir/lite/flatbuffer_import.cc b/tensorflow/compiler/mlir/lite/flatbuffer_import.cc
index 2861c14b32b..39149583918 100644
--- a/tensorflow/compiler/mlir/lite/flatbuffer_import.cc
+++ b/tensorflow/compiler/mlir/lite/flatbuffer_import.cc
@@ -510,6 +510,12 @@ Operation* BuildVariableOp(const tflite::TensorT& tensor,
     return op.getOperation();
   }
   auto op = builder.create<tfl::ConstOp>(loc, value);
+  if (!tensor.quantization->min.empty()) {
+    if (auto stats_op =
+            ConvertMinMaxToStatsOp(tensor, builder, op.getResult())) {
+      return stats_op;
+    }
+  }
   return op.getOperation();
 }
 
diff --git a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
index ca6c278722d..03d8de6f175 100644
--- a/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
+++ b/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
@@ -1,10 +1,14 @@
 // RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s
 
-// CHECK: effective_hidden_scale_intermediate = tensor<!quant.calibrated<f32<-5.000000e-01:5.000000e-01>>>
-// CHECK: input_to_cell_intermediate = tensor<!quant.calibrated<f32<-4.000000e+00:4.000000e+00>>>
-// CHECK: input_to_forget_intermediate = tensor<!quant.calibrated<f32<-1.600000e+01:1.600000e+01>>>
-// CHECK: input_to_input_intermediate = tensor<!quant.calibrated<f32<-3.200000e+01:3.200000e+01>>>
-// CHECK: input_to_output_intermediate = tensor<!quant.calibrated<f32<-1.000000e+00:1.000000e+00>>>
+// CHECK-DAG: %[[input_18:.*]] = "quant.stats"({{.*}}) {layerStats = dense<[-8.000000e-01, 1.600000e+00]> : tensor<2xf32>} : (tensor<1x4xf32>) -> tensor<1x4xf32>
+// CHECK-DAG: %[[input_19:.*]] = "quant.stats"({{.*}}) {layerStats = dense<[-2.000000e+00, 4.000000e+00]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>
+
+// CHECK: "tfl.unidirectional_sequence_lstm"({{.*}}, %[[input_18]], %[[input_19]], %{{[0-9]+}}, %{{[0-9]+}}, %{{[0-9]+}}, %{{[0-9]+}})
+// CHECK-SAME: effective_hidden_scale_intermediate = tensor<!quant.calibrated<f32<-5.000000e-01:5.000000e-01>>>
+// CHECK-SAME: input_to_cell_intermediate = tensor<!quant.calibrated<f32<-4.000000e+00:4.000000e+00>>>
+// CHECK-SAME: input_to_forget_intermediate = tensor<!quant.calibrated<f32<-1.600000e+01:1.600000e+01>>>
+// CHECK-SAME: input_to_input_intermediate = tensor<!quant.calibrated<f32<-3.200000e+01:3.200000e+01>>>
+// CHECK-SAME: input_to_output_intermediate = tensor<!quant.calibrated<f32<-1.000000e+00:1.000000e+00>>>
 
 {
   "version": 3,
@@ -110,8 +114,8 @@
           "name": "input_activation_state18",
           "is_variable": true,
           "quantization": {
-            "min": [-0.9],
-            "max": [0.9]
+            "min": [-0.8],
+            "max": [1.6]
           }
         },
         {
@@ -119,8 +123,8 @@
           "name": "input_cell_state19",
           "is_variable": true,
           "quantization": {
-            "min": [-0.8],
-            "max": [0.8]
+            "min": [-2.0],
+            "max": [4.0]
           }
         },
         {