diff --git a/src/axolotl/utils/callbacks/mlflow_.py b/src/axolotl/utils/callbacks/mlflow_.py
index 47679001f..15ca1ca47 100644
--- a/src/axolotl/utils/callbacks/mlflow_.py
+++ b/src/axolotl/utils/callbacks/mlflow_.py
@@ -1,6 +1,7 @@
 """MLFlow module for trainer callbacks"""
 
 import logging
+import os
 from shutil import copyfile
 from tempfile import NamedTemporaryFile
 from typing import TYPE_CHECKING
@@ -16,6 +17,11 @@ if TYPE_CHECKING:
 LOG = logging.getLogger("axolotl.callbacks")
 
 
+def should_log_artifacts() -> bool:
+    truths = ["TRUE", "1", "YES"]
+    return os.getenv("HF_MLFLOW_LOG_ARTIFACTS", "FALSE").upper() in truths
+
+
 class SaveAxolotlConfigtoMlflowCallback(TrainerCallback):
     # pylint: disable=duplicate-code
     """Callback to save axolotl config to mlflow"""
@@ -32,13 +38,18 @@ class SaveAxolotlConfigtoMlflowCallback(TrainerCallback):
     ):
         if is_main_process():
             try:
-                with NamedTemporaryFile(
-                    mode="w", delete=False, suffix=".yml", prefix="axolotl_config_"
-                ) as temp_file:
-                    copyfile(self.axolotl_config_path, temp_file.name)
-                    mlflow.log_artifact(temp_file.name, artifact_path="")
+                if should_log_artifacts():
+                    with NamedTemporaryFile(
+                        mode="w", delete=False, suffix=".yml", prefix="axolotl_config_"
+                    ) as temp_file:
+                        copyfile(self.axolotl_config_path, temp_file.name)
+                        mlflow.log_artifact(temp_file.name, artifact_path="")
+                        LOG.info(
+                            "The Axolotl config has been saved to the MLflow artifacts."
+                        )
+                else:
                     LOG.info(
-                        "The Axolotl config has been saved to the MLflow artifacts."
+                        "Skipping logging artifacts to MLflow (hf_mlflow_log_artifacts is false)"
                     )
             except (FileNotFoundError, ConnectionError) as err:
                 LOG.warning(f"Error while saving Axolotl config to MLflow: {err}")