diff --git a/bitsandbytes/nn/modules.py b/bitsandbytes/nn/modules.py
index ff8ce9c3d..1bd53858b 100644
--- a/bitsandbytes/nn/modules.py
+++ b/bitsandbytes/nn/modules.py
@@ -1054,7 +1054,7 @@ def _save_to_state_dict(self, destination, prefix, keep_vars):
         scb_name = "SCB"
 
         # case 1: .cuda was called, SCB is in self.weight
-        param_from_weight = getattr(self.weight, scb_name)
+        param_from_weight = getattr(self.weight, scb_name, None)
         # case 2: self.init_8bit_state was called, SCB is in self.state
         param_from_state = getattr(self.state, scb_name)
 
@@ -1095,7 +1095,8 @@ def _load_from_state_dict(
         for key in unexpected_copy:
             input_name = key[len(prefix) :]
             if input_name == "SCB":
-                if self.weight.SCB is None:
+                weight_scb = getattr(self.weight, "SCB", None)
+                if weight_scb is None:
                     # buffers not yet initialized, can't access them directly without quantizing first
                     raise RuntimeError(
                         "Loading a quantized checkpoint into non-quantized Linear8bitLt is "
@@ -1103,7 +1104,7 @@ def _load_from_state_dict(
                     )
 
                 input_param = state_dict[key]
-                self.weight.SCB.copy_(input_param)
+                weight_scb.copy_(input_param)
 
                 if self.state.SCB is not None:
                     self.state.SCB = self.weight.SCB
diff --git a/tests/test_linear8bitlt.py b/tests/test_linear8bitlt.py
index dc4ff4741..b7574f855 100644
--- a/tests/test_linear8bitlt.py
+++ b/tests/test_linear8bitlt.py
@@ -228,6 +228,26 @@ def test_linear8bit_serialization(linear8bit):
     assert (linear8bit.weight.CB == deserialized.weight.CB).all()
 
 
+def test_linear8bit_state_dict_skips_scb_for_tied_weight():
+    linear = Linear8bitLt(8, 8, bias=False, has_fp16_weights=False)
+    linear.weight = torch.nn.Parameter(torch.randn_like(linear.weight))
+
+    state_dict = linear.state_dict()
+
+    assert "SCB" not in state_dict
+    assert "weight_format" not in state_dict
+
+
+def test_linear8bit_load_state_dict_raises_runtime_for_tied_weight():
+    linear = Linear8bitLt(8, 8, bias=False, has_fp16_weights=False)
+    linear.weight = torch.nn.Parameter(torch.randn_like(linear.weight))
+    state_dict = linear.state_dict()
+    state_dict["SCB"] = torch.ones(linear.out_features)
+
+    with pytest.raises(RuntimeError, match="Loading a quantized checkpoint into non-quantized Linear8bitLt"):
+        linear.load_state_dict(state_dict, strict=False)
+
+
 @pytest.mark.parametrize("device", get_available_devices())
 @pytest.mark.parametrize("threshold", [0.0, 6.0], ids=id_formatter("threshold"))
 @pytest.mark.parametrize("bias", TRUE_FALSE, ids=id_formatter("bias"))