diff --git a/training/a4x/llama3-1-405b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md b/training/a4x/llama3-1-405b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
index 02394166..cc7af968 100644
--- a/training/a4x/llama3-1-405b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
+++ b/training/a4x/llama3-1-405b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
@@ -112,19 +112,19 @@ your client:
 -   To set the number of training steps to 100, run the following command from
     your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=$USER-a4x-llama3-1-405b
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-405b-fp8cs-gbs2048-gpus64.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME} \
-    --set workload.arguments[0]="trainer.max_steps=100"
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=$USER-a4x-llama3-1-405b
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-405b-fp8cs-gbs2048-gpus64.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME} \
+--set workload.arguments[0]="trainer.max_steps=100"
+```
 
 ### Monitor the job
 
diff --git a/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-BF16-GBS2048/recipe/README.md b/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-BF16-GBS2048/recipe/README.md
index bcd42f57..b402f3f2 100644
--- a/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-BF16-GBS2048/recipe/README.md
+++ b/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-BF16-GBS2048/recipe/README.md
@@ -87,18 +87,18 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-16node
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-70b-bf16-gbs2048-gpus64.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME}
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-16node
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-70b-bf16-gbs2048-gpus64.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME}
+```
 
 **Examples**
 
diff --git a/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md b/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
index c2c58795..b53d45b7 100644
--- a/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
+++ b/training/a4x/llama3-1-70b/nemo-pretraining-gke/16node-FP8CS-GBS2048/recipe/README.md
@@ -87,18 +87,18 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=a4x-llama3-1-70b-fp8cs-gbs2048-gpus64
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus64.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME}
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=a4x-llama3-1-70b-fp8cs-gbs2048-gpus64
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus64.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME}
+```
 
 **Examples**
 
diff --git a/training/a4x/llama3-1-70b/nemo-pretraining-gke/32node-FP8CS-GBS2048/recipe/README.md b/training/a4x/llama3-1-70b/nemo-pretraining-gke/32node-FP8CS-GBS2048/recipe/README.md
index bede2a65..ee39cd62 100644
--- a/training/a4x/llama3-1-70b/nemo-pretraining-gke/32node-FP8CS-GBS2048/recipe/README.md
+++ b/training/a4x/llama3-1-70b/nemo-pretraining-gke/32node-FP8CS-GBS2048/recipe/README.md
@@ -87,18 +87,18 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-32node
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus128.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME}
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-32node
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus128.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME}
+```
 
 **Examples**
 
diff --git a/training/a4x/llama3-1-70b/nemo-pretraining-gke/64node-FP8CS-GBS2048/recipe/README.md b/training/a4x/llama3-1-70b/nemo-pretraining-gke/64node-FP8CS-GBS2048/recipe/README.md
index 0ca3c26d..ec95a07d 100644
--- a/training/a4x/llama3-1-70b/nemo-pretraining-gke/64node-FP8CS-GBS2048/recipe/README.md
+++ b/training/a4x/llama3-1-70b/nemo-pretraining-gke/64node-FP8CS-GBS2048/recipe/README.md
@@ -87,18 +87,18 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-64node
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus256.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME}
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=$USER-a4x-llama3-1-70b-64node
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-70b-fp8cs-gbs2048-gpus256.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME}
+```
 
 **Examples**
 
diff --git a/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-BF16-GBS1024/recipe/README.md b/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-BF16-GBS1024/recipe/README.md
index 5ef4f3c8..ed347fbc 100644
--- a/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-BF16-GBS1024/recipe/README.md
+++ b/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-BF16-GBS1024/recipe/README.md
@@ -87,18 +87,18 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    ```bash
-    cd $RECIPE_ROOT
-    export WORKLOAD_NAME=$USER-a4x-llama3-1-8b-16node
-    helm install $WORKLOAD_NAME . -f values.yaml \
-    --set-file workload_launcher=launcher.sh \
-    --set-file workload_config=llama3-1-8b-bf16-gbs1024-gpus64.py \
-    --set workload.image=nvcr.io/nvidia/nemo:25.07 \
-    --set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
-    --set volumes.gcsMounts[0].mountPath=/job-logs \
-    --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
-    --set queue=${KUEUE_NAME}
-    ```
+```bash
+cd $RECIPE_ROOT
+export WORKLOAD_NAME=$USER-a4x-llama3-1-8b-16node
+helm install $WORKLOAD_NAME . -f values.yaml \
+--set-file workload_launcher=launcher.sh \
+--set-file workload_config=llama3-1-8b-bf16-gbs1024-gpus64.py \
+--set workload.image=nvcr.io/nvidia/nemo:25.07 \
+--set volumes.gcsMounts[0].bucketName=${GCS_BUCKET} \
+--set volumes.gcsMounts[0].mountPath=/job-logs \
+--set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
+--set queue=${KUEUE_NAME}
+```
 
 **Examples**
 
diff --git a/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-FP8CS-GBS128/recipe/README.md b/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-FP8CS-GBS128/recipe/README.md
index cd68cdcd..2c182e86 100644
--- a/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-FP8CS-GBS128/recipe/README.md
+++ b/training/a4x/llama3-1-8b/nemo-pretraining-gke/16node-FP8CS-GBS128/recipe/README.md
@@ -86,7 +86,7 @@ gcloud container clusters get-credentials $CLUSTER_NAME --region $CLUSTER_REGION
 To execute the job with the default settings, run the following command from
 your client:
 
-    bash
+    ```bash
     cd $RECIPE_ROOT
     export WORKLOAD_NAME=a4x-llama3-1-8b-fp8cs-gbs128-gpus64-16node
     helm install $WORKLOAD_NAME . -f values.yaml \
@@ -97,6 +97,7 @@ your client:
     --set volumes.gcsMounts[0].mountPath=/job-logs \
     --set workload.envs[0].value=/job-logs/$WORKLOAD_NAME \
     --set queue=${KUEUE_NAME}
+    ```
 
 **Examples**