diff --git a/mlir/include/mlir/IR/BuiltinAttributes.h b/mlir/include/mlir/IR/BuiltinAttributes.h
index 901df3a25a46f..7624b5e761e9f 100644
--- a/mlir/include/mlir/IR/BuiltinAttributes.h
+++ b/mlir/include/mlir/IR/BuiltinAttributes.h
@@ -112,9 +112,9 @@ class DenseElementsAttr : public Attribute {
   static DenseElementsAttr get(ShapedType type, ArrayRef<Attribute> values);
 
   /// Constructs a dense integer elements attribute from an array of integer
-  /// or floating-point values. Each value is expected to be the same bitwidth
-  /// of the element type of 'type'. 'type' must be a vector or tensor with
-  /// static shape.
+  /// or floating-point values. Each value is expected to be the same as the
+  /// storage bitwidth of the element type of 'type'. 'type' must be a vector or
+  /// tensor with static shape.
   template <typename T,
             typename = std::enable_if_t<std::numeric_limits<T>::is_integer ||
                                         is_valid_cpp_fp_type<T>::value>>
diff --git a/mlir/lib/IR/BuiltinAttributes.cpp b/mlir/lib/IR/BuiltinAttributes.cpp
index 112e3f376bd41..b90713e890889 100644
--- a/mlir/lib/IR/BuiltinAttributes.cpp
+++ b/mlir/lib/IR/BuiltinAttributes.cpp
@@ -1104,13 +1104,15 @@ bool DenseElementsAttr::isValidRawBuffer(ShapedType type,
 /// invariants that the templatized 'getValues' method cannot.
 static bool isValidIntOrFloat(Type type, int64_t dataEltSize, bool isInt,
                               bool isSigned) {
-  // Make sure that the data element size is the same as the type element width.
-  auto denseEltBitWidth = getDenseElementBitWidth(type);
-  auto dataSize = static_cast<size_t>(dataEltSize * CHAR_BIT);
-  if (denseEltBitWidth != dataSize) {
-    LLVM_DEBUG(llvm::dbgs() << "expected dense element bit width "
-                            << denseEltBitWidth << " to match data size "
-                            << dataSize << " for type " << type << "\n");
+  // Make sure that the data element size is the same as the type element
+  // storage width.
+  const size_t denseEltStorageBitWidth = getDenseElementStorageWidth(type);
+  const size_t dataSizeBitWidth = static_cast<size_t>(dataEltSize * CHAR_BIT);
+  if (denseEltStorageBitWidth != dataSizeBitWidth) {
+    LLVM_DEBUG(llvm::dbgs()
+               << "expected dense element bit width " << denseEltStorageBitWidth
+               << " to match data size " << dataSizeBitWidth << " for type "
+               << type << "\n");
     return false;
   }
 
diff --git a/mlir/unittests/IR/AttributeTest.cpp b/mlir/unittests/IR/AttributeTest.cpp
index 9203248a83baf..03c08ed22a77f 100644
--- a/mlir/unittests/IR/AttributeTest.cpp
+++ b/mlir/unittests/IR/AttributeTest.cpp
@@ -570,4 +570,26 @@ TEST(NonSplattedDenseElementAttrTest, GetNonSplatRawDataI16) {
                 .getNonSplatRawData<uint16_t>(),
             expected);
 }
+
+TEST(NonSplattedDenseElementAttrTest, GetFromRawI7) {
+  constexpr std::size_t numberOfElements = 6;
+  static constexpr std::array<int8_t, numberOfElements> rawValues = {1, 2, 3,
+                                                                     4, 5, 6};
+
+  mlir::MLIRContext context;
+  mlir::OpBuilder b(&context);
+
+  auto values = mlir::DenseElementsAttr::get(
+      mlir::RankedTensorType::get({numberOfElements}, b.getIntegerType(7)),
+      ArrayRef<int8_t>(rawValues));
+  auto fromRaw = mlir::DenseIntOrFPElementsAttr::getFromRawBuffer(
+      values.getType(), values.getRawData());
+
+  EXPECT_EQ(values, fromRaw);
+  EXPECT_EQ(fromRaw.getElementType(), b.getIntegerType(7));
+  EXPECT_EQ(fromRaw.getNumElements(), numberOfElements);
+  for (auto [fr, e] : llvm::zip_equal(fromRaw.getValues<int8_t>(), rawValues)) {
+    EXPECT_EQ(fr, e);
+  }
+}
 } // namespace