diff --git a/README.md b/README.md
index b09d0b162..f5058db3b 100644
--- a/README.md
+++ b/README.md
@@ -763,6 +763,7 @@ wandb_log_model: # "checkpoint" to log model to wandb Artifacts every `save_step
 # mlflow configuration if you're using it
 mlflow_tracking_uri: # URI to mlflow
 mlflow_experiment_name: # Your experiment name
+hf_mlflow_log_artifacts:  # set to true to copy each saved checkpoint on each save to mlflow artifact registry
 
 # Where to save the full-finetuned model to
 output_dir: ./completed-model
diff --git a/src/axolotl/utils/config/models/input/v0_4_1/__init__.py b/src/axolotl/utils/config/models/input/v0_4_1/__init__.py
index 433c84af1..4d7d8280e 100644
--- a/src/axolotl/utils/config/models/input/v0_4_1/__init__.py
+++ b/src/axolotl/utils/config/models/input/v0_4_1/__init__.py
@@ -305,6 +305,7 @@ class MLFlowConfig(BaseModel):
     use_mlflow: Optional[str] = None
     mlflow_tracking_uri: Optional[str] = None
     mlflow_experiment_name: Optional[str] = None
+    hf_mlflow_log_artifacts: Optional[bool] = None
 
 
 class WandbConfig(BaseModel):
diff --git a/src/axolotl/utils/mlflow_.py b/src/axolotl/utils/mlflow_.py
index fec2028ba..ce7739034 100644
--- a/src/axolotl/utils/mlflow_.py
+++ b/src/axolotl/utils/mlflow_.py
@@ -7,7 +7,7 @@ from axolotl.utils.dict import DictDefault
 
 def setup_mlflow_env_vars(cfg: DictDefault):
     for key in cfg.keys():
-        if key.startswith("mlflow_"):
+        if key.startswith("mlflow_") or key.startswith("hf_mlflow_"):
             value = cfg.get(key, "")
 
             if value and isinstance(value, str) and len(value) > 0: