diff --git a/charts/merlin/Chart.yaml b/charts/merlin/Chart.yaml
index cba64d7d..f0a58f97 100644
--- a/charts/merlin/Chart.yaml
+++ b/charts/merlin/Chart.yaml
@@ -33,4 +33,4 @@ maintainers:
 - email: caraml-dev@caraml.dev
   name: caraml-dev
 name: merlin
-version: 0.13.23
+version: 0.13.24
diff --git a/charts/merlin/README.md b/charts/merlin/README.md
index 7045fd1b..bb2cc774 100644
--- a/charts/merlin/README.md
+++ b/charts/merlin/README.md
@@ -1,7 +1,7 @@
 # merlin
 
 ---
-![Version: 0.13.23](https://img.shields.io/badge/Version-0.13.23-informational?style=flat-square)
+![Version: 0.13.24](https://img.shields.io/badge/Version-0.13.24-informational?style=flat-square)
 ![AppVersion: v0.42.0](https://img.shields.io/badge/AppVersion-v0.42.0-informational?style=flat-square)
 
 Kubernetes-friendly ML model management, deployment, and serving.
@@ -316,7 +316,7 @@ The following table lists the configurable parameters of the Merlin chart and th
 | mlflow.artifactRoot | string | `"/data/artifacts"` |  |
 | mlflow.artifactServiceType | string | `"nop"` |  |
 | mlflow.deploymentLabels | object | `{}` |  |
-| mlflow.extraEnvs | object | `{}` |  |
+| mlflow.extraEnvs | list | `[]` |  |
 | mlflow.host | string | `"0.0.0.0"` |  |
 | mlflow.image.pullPolicy | string | `"Always"` |  |
 | mlflow.image.registry | string | `"ghcr.io"` |  |
diff --git a/charts/merlin/values.yaml b/charts/merlin/values.yaml
index 5dac9967..4e9e3221 100644
--- a/charts/merlin/values.yaml
+++ b/charts/merlin/values.yaml
@@ -533,11 +533,6 @@ mlflow:
   ## does not impact already-created experiments.
   #
   artifactRoot: "/data/artifacts"
-  ## Use this field to add environment variables relevant to MLflow server.
-  ## These fields will be passed on to MLflow container(s) when Chart is deployed.
-  #
-  # extraEnvs:
-  #   FOO: bar
 
   ## The network address to listen on (default:
   ## 127.0.0.1). Use 0.0.0.0 to bind to all
@@ -577,12 +572,19 @@ mlflow:
   #   orchestrator: unknown
 
   # Add the following configs when you wish to point to an actual S3 for mlflow to store its artifacts
-  extraEnvs: {}
-  #   AWS_ACCESS_KEY_ID: YOURACCESSKEY
-  #   AWS_SECRET_ACCESS_KEY: YOURSECRETKEY
-  #   AWS_DEFAULT_REGION: ap-southeast-2
+  ## Use this field to add environment variables relevant to MLflow server.
+  ## These fields will be passed on to MLflow container(s) when Chart is deployed.
+  extraEnvs: []
+  #  - name: AWS_ACCESS_KEY_ID
+  #    value: YOURACCESSKEY
+  #  - name: AWS_SECRET_ACCESS_KEY
+  #    value: YOURSECRETKEY
+  #  - name: AWS_DEFAULT_REGION
+  #    value: ap-southeast-2
   #   Instead of this env variable minio.enabled should be used:
-  #   MLFLOW_S3_ENDPOINT_URL: http://minio.minio.svc.cluster.local:9000
+  #  - name: MLFLOW_S3_ENDPOINT_URL
+  #    value: http://minio.minio.svc.cluster.local:9000
+
 # If you would like to use an external postgres database for MLflow, you can connect using these credentials
 mlflowExternalPostgresql:
   # -- If you would like to use an external postgres database, enable it here using this