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hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_109.yaml

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+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-109
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-109
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-109-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_109.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_125.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-125
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-125
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-125-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_125.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_126.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-126
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-126
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-126-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_126.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_127.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-127
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-127
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-127-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_127.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_14.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-14
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-14
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-14-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_14.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_151.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-151
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-151
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-151-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_151.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_161.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-161
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-161
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-161-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_161.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_168.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-168
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-168
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-168-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_168.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_174.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-174
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-174
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-174-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_174.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_185.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-185
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-185
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-185-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_185.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_189.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-189
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-189
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-189-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_189.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_19.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-19
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-19
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-19-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_19.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_202.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-202
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-202
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-202-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_202.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_208.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-208
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-208
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-208-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_208.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_216.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-216
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-216
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-216-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_216.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_223.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-223
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-223
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-223-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_223.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_228.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-228
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-228
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-228-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_228.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_247.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-247
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-247
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-247-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_247.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_248.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-248
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-248
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-248-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_248.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_25.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-25
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-25
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-25-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_25.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_251.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-251
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-251
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-251-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_251.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_261.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-261
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-261
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-261-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_261.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_264.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-264
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-264
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-264-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_264.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_273.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-273
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-273
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-273-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_273.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_297.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-297
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-297
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-297-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_297.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_301.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-301
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-301
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-301-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_301.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_316.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-316
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-316
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-316-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_316.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_335.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-335
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-335
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-335-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_335.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_339.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-339
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-339
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-339-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_339.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_340.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-340
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-340
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-340-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_340.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_355.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-355
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-355
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-355-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_355.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_359.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-359
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-359
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-359-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_359.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_39.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-39
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-39
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-39-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_39.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_408.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-408
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-408
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-408-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_408.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_428.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-428
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-428
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-428-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_428.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_440.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-440
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-440
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-440-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_440.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_489.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-489
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-489
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-489-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_489.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_49.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-49
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-49
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-49-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_49.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_508.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-508
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-508
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-508-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_508.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_52.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-52
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-52
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-52-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_52.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_530.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-530
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-530
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-530-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_530.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_539.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-539
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-539
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-539-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_539.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_54.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-54
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-54
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-54-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_54.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_541.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-541
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-541
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-541-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_541.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_543.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-543
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-543
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-543-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_543.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_550.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-550
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-550
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-550-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_550.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_551.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-551
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-551
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-551-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_551.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_567.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-567
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-567
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-567-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_567.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_576.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-576
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-576
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-576-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_576.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock

hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_59.yaml

@@ -0,0 +1,104 @@
+apiVersion: kubeflow.org/v2beta1
+kind: MPIJob
+metadata:
+  name: peacock-tokenizer-en-bn-hn-59
+  namespace: peacock
+  labels:
+    app: peacock-tokenizer-en-bn-hn-59
+spec:
+  slotsPerWorker: 8
+  runPolicy:
+    backoffLimit: 1
+    cleanPodPolicy: Running
+  mpiReplicaSpecs:
+    Launcher:
+      replicas: 1
+      template:
+        spec:
+          hostIPC: true
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-tokenizer-en-bn-hn-59-launcher
+              imagePullPolicy: IfNotPresent
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock
+              command: ["/bin/bash", "-c"]
+              args:
+                - >-
+                  
+                  export SYNAPSE_VERSION="1.15.1";
+                  export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
+
+                  export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
+                  export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_59.sh
+                  HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
+                  echo "HOSTSFILE=$HOSTSFILE";
+                  MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
+                  NUM_NODES=$(wc -l < $HOSTSFILE);
+                  CARDS_PER_NODE=8;
+                  N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
+                  echo "MPI_ROOT=$MPI_ROOT";
+                  echo "N_CARDS=$N_CARDS";
+                  echo "MASTER_ADDR=$MASTER_ADDR";
+                  sleep 20;
+
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
+
+                  mpirun -np $N_CARDS  -npernode 8 \
+                    --tag-output \
+                    --allow-run-as-root \
+                    --prefix $MPI_ROOT \
+                    -x WORKER_DIR=$WORKER_DIR \
+                    -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
+                    
+                   
+    Worker:
+      replicas: 1
+      template:
+        spec:
+          volumes:
+            - name: work-dir
+              persistentVolumeClaim:
+                claimName: peacock-fs-pvc
+          tolerations:
+            - key: "habana.ai/gaudi"
+              operator: "Exists"
+              effect: "NoSchedule"
+            - key: "k8s/namespace"
+              operator: "Equal"
+              value: "peacock"
+              effect: "NoSchedule"
+          hostIPC: true
+          containers:
+            - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
+              name: peacock-llama-worker
+              imagePullPolicy: IfNotPresent
+              securityContext:
+                capabilities:
+                  add:
+                    - SYSLOG
+              resources:
+                limits:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+                requests:
+                  habana.ai/gaudi: 8
+                  hugepages-2Mi: 300Gi
+                  memory: 700Gi
+                  cpu: 150
+              volumeMounts:
+                - name: work-dir
+                  mountPath: /mnt/weka/peacock