diff --git a/docs/config.qmd b/docs/config.qmd
index 8329f35535..b6c0cb852a 100644
--- a/docs/config.qmd
+++ b/docs/config.qmd
@@ -266,6 +266,7 @@ 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
+mlflow_run_name: # Your run name
 hf_mlflow_log_artifacts:  # set to true to copy each saved checkpoint on each save to mlflow artifact registry
 
 # Comet configuration if you're using it
diff --git a/src/axolotl/core/trainer_builder.py b/src/axolotl/core/trainer_builder.py
index b1ee519dc4..9c12b6141a 100755
--- a/src/axolotl/core/trainer_builder.py
+++ b/src/axolotl/core/trainer_builder.py
@@ -1445,9 +1445,12 @@ def build(self, total_num_steps):
             report_to.append("comet_ml")
 
         training_arguments_kwargs["report_to"] = report_to
-        training_arguments_kwargs["run_name"] = (
-            self.cfg.wandb_name if self.cfg.use_wandb else None
-        )
+        if self.cfg.use_wandb:
+            training_arguments_kwargs["run_name"] = self.cfg.wandb_name
+        elif self.cfg.use_mlflow:
+            training_arguments_kwargs["run_name"] = self.cfg.mlflow_run_name
+        else:
+            training_arguments_kwargs["run_name"] = None
         training_arguments_kwargs["optim"] = (
             self.cfg.optimizer if self.cfg.optimizer else "adamw_hf"
         )
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 1c33b59078..1a269b7982 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
@@ -447,6 +447,7 @@ class MLFlowConfig(BaseModel):
     use_mlflow: Optional[bool] = None
     mlflow_tracking_uri: Optional[str] = None
     mlflow_experiment_name: Optional[str] = None
+    mlflow_run_name: Optional[str] = None
     hf_mlflow_log_artifacts: Optional[bool] = None