diff --git a/src/brevitas/export/inference/manager.py b/src/brevitas/export/inference/manager.py
index 936106884..bf780a26c 100644
--- a/src/brevitas/export/inference/manager.py
+++ b/src/brevitas/export/inference/manager.py
@@ -39,9 +39,11 @@ def _override_weight_caching_mode(m: nn.Module, enabled: bool, metadata_only: bo
 
 class quant_inference_mode:
 
-    def __init__(self, model, cache_quant_weight=False, enabled=True):
+    def __init__(self, model, cache_quant_weight=False, delete_injector=False, enabled=True):
         self.model = model
         self.enabled = enabled
+        self.delete_injector = delete_injector
+        self.injector_reference = dict()
         self.cache_quant_weight = cache_quant_weight
         self.export_manager = InferenceManager
         self.hook_list = []
@@ -74,6 +76,10 @@ def __exit__(self, type, value, traceback):
                 lambda m: _override_weight_caching_mode(m, enabled=False, metadata_only=False))
         InferenceManager.set_export_mode(self.model, enabled=False)
         restore_return_quant_tensor(self.model, self.return_quant_tensor_state)
+        if self.delete_injector:
+            for m in self.model.modules():
+                if m in self.injector_reference:
+                    m.quant_injector = self.injector_reference[m]
 
     def hook(self, module, inp, out):
         # After one forward pass with caching enabled, we can:
@@ -85,6 +91,11 @@ def hook(self, module, inp, out):
         self.model.apply(InferenceManager.set_export_handler)
         InferenceManager.set_export_mode(self.model, enabled=True)
         self.return_quant_tensor_state = disable_return_quant_tensor(self.model)
+        if self.delete_injector:
+            for m in self.model.modules():
+                if hasattr(m, 'quant_injector'):
+                    self.injector_reference[m] = m.quant_injector
+                    del m.quant_injector
 
 
 # Inheritance from BaseManager is not techincally needed