diff --git a/src/compressed_tensors/quantization/lifecycle/apply.py b/src/compressed_tensors/quantization/lifecycle/apply.py
index f85551635..73107d64b 100644
--- a/src/compressed_tensors/quantization/lifecycle/apply.py
+++ b/src/compressed_tensors/quantization/lifecycle/apply.py
@@ -30,6 +30,7 @@
 from loguru import logger
 from safetensors import safe_open
 from torch.nn import Module
+from tqdm import tqdm
 
 
 __all__ = [
@@ -95,7 +96,10 @@ def load_pretrained_quantization_parameters(
 
 
 def apply_quantization_config(
-    model: Module, config: QuantizationConfig | None, run_compressed: bool = False
+    model: Module,
+    config: QuantizationConfig | None,
+    run_compressed: bool = False,
+    show_progress: bool = True,
 ):
     """
     Initializes the model for quantization in-place based on the given config.
@@ -105,6 +109,7 @@ def apply_quantization_config(
     :param config: quantization config
     :param run_compressed: Whether the model will be run in compressed mode or
         decompressed fully on load
+    :param show_progress: Whether to show progress bar during quantization
     """
     config = deepcopy(config)
     if config is None:  # see PR #180
@@ -128,8 +133,14 @@ def apply_quantization_config(
             target_to_scheme[target] = scheme
 
     # mark appropriate layers for quantization by setting their quantization schemes
-    for name, submodule in match_named_modules(
-        model, target_to_scheme, config.ignore, warn_on_fail=True
+    matched_modules = list(
+        match_named_modules(model, target_to_scheme, config.ignore, warn_on_fail=True)
+    )
+
+    for name, submodule in tqdm(
+        matched_modules,
+        desc="Applying quantization config",
+        disable=not show_progress,
     ):
         # mark modules to be quantized by adding
         # quant scheme to the matching layers