diff --git a/src/llmcompressor/core/lifecycle.py b/src/llmcompressor/core/lifecycle.py
index ff91c70c8e..bd485e01e1 100644
--- a/src/llmcompressor/core/lifecycle.py
+++ b/src/llmcompressor/core/lifecycle.py
@@ -91,11 +91,8 @@ def initialize(
         :return: List of data returned from initialization of modifiers
         :rtype: List[Any]
         """
-        self.state.update(**kwargs)
-        if self.initialized_:  # TODO: do not initialize twice
-            return
-
         logger.debug("Initializing compression lifecycle")
+        self.state.update(**kwargs)
         self.recipe_container.append(recipe, recipe_stage, recipe_args)
         self.modifiers = self.recipe_container.get_modifiers()
         self._set_model_layer_prefix()
diff --git a/src/llmcompressor/core/state.py b/src/llmcompressor/core/state.py
index 42e43e1345..c089987d34 100644
--- a/src/llmcompressor/core/state.py
+++ b/src/llmcompressor/core/state.py
@@ -112,18 +112,6 @@ class State:
     model_log_cadence: Optional[float] = None
     _last_log_step: Union[float, int, None] = None
 
-    @property
-    def compression_ready(self) -> bool:
-        """
-        Check if the model and optimizer are set for compression.
-
-        :return: True if model and optimizer are set, False otherwise
-        :rtype: bool
-        """
-        ready = self.model is not None and self.optimizer is not None
-        logger.debug("Compression ready: {}", ready)
-        return ready
-
     def update(
         self,
         model: Any = None,
diff --git a/tests/unit/core/test_state.py b/tests/unit/core/test_state.py
index 203e2a6647..0cdf7fcb95 100644
--- a/tests/unit/core/test_state.py
+++ b/tests/unit/core/test_state.py
@@ -63,16 +63,6 @@ def test_state_update():
     assert state.model_log_cadence == 2
 
 
-@pytest.mark.regression
-def test_state_sparsification_ready():
-    state = State()
-    assert not state.compression_ready
-
-    state.model = "model"
-    state.optimizer = "optimizer"
-    assert state.compression_ready
-
-
 @pytest.mark.regression
 def test_state_update_loggers():
     state = State()