diff --git a/test/distributed/test_store.py b/test/distributed/test_store.py
index e557a4835962..757ae7afbe83 100644
--- a/test/distributed/test_store.py
+++ b/test/distributed/test_store.py
@@ -1178,6 +1178,6 @@ class TestClientProtocol(TestCase):
 if __name__ == "__main__":
     if device_type != "cpu":
         assert not torch.get_device_module()._initialized, (
-            "test_distributed must not have initialized {device_type} context on main process"
+            f"test_distributed must not have initialized {device_type} context on main process"
         )
     run_tests()
diff --git a/test/distributed/test_symmetric_memory.py b/test/distributed/test_symmetric_memory.py
index 191e0f50d56b..57c7175daaba 100644
--- a/test/distributed/test_symmetric_memory.py
+++ b/test/distributed/test_symmetric_memory.py
@@ -451,7 +451,7 @@ class AsyncTPTest(MultiProcContinuousTest):
         elif gather_dim == 1:
             leading_dims = (BATCH, M // self.world_size)
         else:
-            raise AssertionError("Invalid scale_mode: {scale_mode}")
+            raise AssertionError(f"Invalid scale_mode: {scale_mode}")
 
         torch.manual_seed(42 + rank)
 
diff --git a/test/quantization/core/test_workflow_module.py b/test/quantization/core/test_workflow_module.py
index 329266d7c63b..4a2d0ecda4ae 100644
--- a/test/quantization/core/test_workflow_module.py
+++ b/test/quantization/core/test_workflow_module.py
@@ -97,7 +97,7 @@ class TestObserver(QuantizationTestCase):
                                                     reduce_range=reduce_range)]
 
         def _get_ref_params(reduce_range, qscheme, dtype, input_scale, min_val, max_val):
-            assert dtype in _INT_DTYPES, "Not supported dtype: {dtype}, supported dtypes are {_INT_DTYPES}"
+            assert dtype in _INT_DTYPES, f"Not supported dtype: {dtype}, supported dtypes are {_INT_DTYPES}"
             eps = torch.tensor([tolerance])
             if dtype in [torch.qint8, torch.int8]:
                 if reduce_range:
diff --git a/test/quantization/pt2e/test_numeric_debugger.py b/test/quantization/pt2e/test_numeric_debugger.py
index a0269bf635b9..cb4aaf86a85c 100644
--- a/test/quantization/pt2e/test_numeric_debugger.py
+++ b/test/quantization/pt2e/test_numeric_debugger.py
@@ -82,7 +82,7 @@ class TestNumericDebugger(TestCase):
                         prev_decomp_op_to_debug_handle_map[prev_decomp_op]
                         == debug_handle
                     ), f"Node {node} has different debug handle {debug_handle}"
-                    "than previous node sharing the same decomp op {prev_decomp_op}"
+                    f"than previous node sharing the same decomp op {prev_decomp_op}"
 
         bfs_trace_with_node_process(
             model, _extract_debug_handles_with_prev_decomp_op_from_node
diff --git a/test/test_sparse_csr.py b/test/test_sparse_csr.py
index ff3470b6852c..90bd85e230f6 100644
--- a/test/test_sparse_csr.py
+++ b/test/test_sparse_csr.py
@@ -2702,7 +2702,7 @@ class TestSparseCSR(TestCase):
             # Sparse CSR only supports 2D tensors as inputs
             # Fail early to prevent silent success with this test
             if sample.input.ndim != 2:
-                raise ValueError("Expected 2D tensor but got tensor with dimension: {sample.input.ndim}.")
+                raise ValueError(f"Expected 2D tensor but got tensor with dimension: {sample.input.ndim}.")
 
             sample.input = sample.input.to_sparse_csr()
             expect = op(sample.input, *sample.args, **sample.kwargs)
@@ -2726,7 +2726,7 @@ class TestSparseCSR(TestCase):
             # Sparse CSR only supports 2D tensors as inputs
             # Fail early to prevent silent success with this test
             if sample.input.ndim != 2:
-                raise ValueError("Expected 2D tensor but got tensor with dimension: {sample.input.ndim}.")
+                raise ValueError(f"Expected 2D tensor but got tensor with dimension: {sample.input.ndim}.")
 
             sample.input = sample.input.to_sparse_csr()
             expect = op(sample.input, *sample.args, **sample.kwargs)