diff --git a/src/brevitas/core/zero_point.py b/src/brevitas/core/zero_point.py
index 7038fe1a9..f74fffae8 100644
--- a/src/brevitas/core/zero_point.py
+++ b/src/brevitas/core/zero_point.py
@@ -344,33 +344,3 @@ def forward(self, x: Tensor, scale: Tensor, bit_width: Tensor) -> Tensor:
         # pre-zero centering before rounding and clipping
         z = self.get_zero_center(x) / scale  # need to scale the norm by s
         return z
-
-
-class RuntimeDynamicGroupZeroScaling(brevitas.jit.ScriptModule):
-
-    def __init__(
-            self,
-            group_size: int,
-            group_dim: int,
-            input_view_impl: Module,
-            zero_point_stats_impl: Module,
-            int_quant,
-            quantize_zero_point) -> None:
-        super(RuntimeDynamicGroupZeroScaling, self).__init__()
-
-        self.group_size = group_size
-        self.group_dim = group_dim
-        self.zero_point_stats_impl = zero_point_stats_impl
-        self.input_view_impl = input_view_impl
-        self.scale_shift_zero_point = _ScaleShiftZeroPoint(int_quant, quantize_zero_point)
-
-    @brevitas.jit.script_method
-    def forward(
-            self,
-            stats_input: torch.Tensor,
-            scale,
-            bit_width) -> torch.Tensor:
-
-        stats_input_reshaped = self.input_view_impl(stats_input)
-        out = self.zero_point_stats_impl(stats_input_reshaped)
-        return self.scale_shift_zero_point(-out, scale, bit_width)
diff --git a/src/brevitas_examples/common/generative/quantize.py b/src/brevitas_examples/common/generative/quantize.py
index 40e6063f4..0e85917b2 100644
--- a/src/brevitas_examples/common/generative/quantize.py
+++ b/src/brevitas_examples/common/generative/quantize.py
@@ -4,8 +4,6 @@
 """
 import re
 
-from brevitas.core.stats import NegativeMinOrZero
-from brevitas.quant.base import ParameterFromRuntimeZeroPoint
 from dependencies import this
 import torch
 from torch import nn
@@ -14,8 +12,11 @@
 from brevitas.core.function_wrapper import CeilSte
 from brevitas.core.function_wrapper import FloorSte
 from brevitas.core.restrict_val import RoundSte
-from brevitas.core.zero_point import ParameterFromStatsFromParameterZeroPoint, RuntimeDynamicGroupZeroScaling
+from brevitas.core.stats import NegativeMinOrZero
+from brevitas.core.zero_point import ParameterFromStatsFromParameterZeroPoint
+from brevitas.core.zero_point import RuntimeDynamicGroupZeroScaling
 from brevitas.graph.quantize import layerwise_quantize
+from brevitas.quant.base import ParameterFromRuntimeZeroPoint
 from brevitas.quant.experimental.float import Fp8e4m3Act
 from brevitas.quant.experimental.float import Fp8e4m3ActPerTensorFloat
 from brevitas.quant.experimental.float import Fp8e4m3WeightPerChannelFloat
@@ -60,7 +61,7 @@
 from brevitas.quant.shifted_scaled_int import ShiftedUint8WeightPerTensorFloatMSE
 from brevitas_examples.common.generative.nn import LoRACompatibleQuantConv2d
 from brevitas_examples.common.generative.nn import LoRACompatibleQuantLinear
-from brevitas_examples.common.generative.quantizers import Fp8e4m3DynamicActPerGroupFloat, RuntimeDynamicStatsZeroPoint
+from brevitas_examples.common.generative.quantizers import Fp8e4m3DynamicActPerGroupFloat
 from brevitas_examples.common.generative.quantizers import FP8e4m3OCPDynamicActPerRowFixedPoint
 from brevitas_examples.common.generative.quantizers import FP8e4m3OCPDynamicActPerRowFloat
 from brevitas_examples.common.generative.quantizers import Fp8e4m3OCPWeightPerChannelFixedPointMSE
@@ -71,6 +72,7 @@
 from brevitas_examples.common.generative.quantizers import Int8DynamicActPerRowFloat
 from brevitas_examples.common.generative.quantizers import Int8DynamicActPerTensorFloat
 from brevitas_examples.common.generative.quantizers import IntWeightSymmetricGroupQuant
+from brevitas_examples.common.generative.quantizers import RuntimeDynamicStatsZeroPoint
 from brevitas_examples.common.generative.quantizers import ShiftedUint8DynamicActPerRowFloat
 from brevitas_examples.common.generative.quantizers import ShiftedUint8DynamicActPerTensorFloat
 
@@ -152,15 +154,6 @@
                 'per_channel': {
                     'sym': Fp8e4m3FNUZWeightPerChannelFloat}}}}}
 
-class Test(Int8DynamicActPerGroupFloat):
-    # zero_point_impl = RuntimeDynamicStatsZeroPoint
-    zero_point_impl = RuntimeDynamicGroupZeroScaling
-    zero_point_stats_impl = NegativeMinOrZero
-    scaling_stats_op = 'min_max'
-    signed = False
-    # zero_point_shape = this.scaling_shape
-    # zero_point_stats_input_view_shape_impl = this.scaling_stats_input_view_shape_impl
-
 INPUT_QUANT_MAP = {
     'int': {
         'static': {
@@ -189,8 +182,7 @@ class Test(Int8DynamicActPerGroupFloat):
                         'sym': Int8DynamicActPerRowFloat,
                         'asym': ShiftedUint8DynamicActPerRowFloat},
                     'per_group': {
-                        'sym': Int8DynamicActPerGroupFloat,
-                        'asym': Test}}},
+                        'sym': Int8DynamicActPerGroupFloat}}},
             'po2_scale': {
                 'stats': {
                     'per_row': {