diff --git a/src/compressed_tensors/quantization/quant_scheme.py b/src/compressed_tensors/quantization/quant_scheme.py
index 180d0f26..47ce0a9b 100644
--- a/src/compressed_tensors/quantization/quant_scheme.py
+++ b/src/compressed_tensors/quantization/quant_scheme.py
@@ -36,7 +36,7 @@ class QuantizationScheme(BaseModel):
     of modules should be quantized
 
     :param targets: list of modules to apply the QuantizationArgs to, can be layer
-    names, layer types or a regular expression
+    names, layer types or a regular expression, typically ["Linear"]
     :param weights: quantization config for layer weights
     :param input_activations: quantization config for layer inputs
     :param output_activations: quantization config for layer outputs
@@ -47,28 +47,6 @@ class QuantizationScheme(BaseModel):
     input_activations: Optional[QuantizationArgs] = None
     output_activations: Optional[QuantizationArgs] = None
 
-    @classmethod
-    def default_scheme(
-        cls,
-        targets: Optional[List[str]] = None,
-    ):
-
-        if targets is None:
-            # default to quantizing all Linear layers
-            targets = ["Linear"]
-
-        # by default, activations and weights are left unquantized
-        weights = None
-        input_activations = None
-        output_activations = None
-
-        return cls(
-            targets=targets,
-            weights=weights,
-            input_activations=input_activations,
-            output_activations=output_activations,
-        )
-
 
 """
 Pre-Set Quantization Scheme Args
diff --git a/tests/test_quantization/test_quant_scheme.py b/tests/test_quantization/test_quant_scheme.py
index 14ee5b72..0ea7f31f 100644
--- a/tests/test_quantization/test_quant_scheme.py
+++ b/tests/test_quantization/test_quant_scheme.py
@@ -53,7 +53,7 @@ def test_needs_targets():
 
 def test_defaults():
     targets = ["Linear"]
-    output = QuantizationScheme.default_scheme(targets=targets)
+    output = QuantizationScheme(targets=targets)
     assert output.weights is None
     assert output.input_activations is None
     assert output.output_activations is None