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trainer/charts/kubeflow-trainer/templates/runtimes/torchtune/llama3_2_3B.yaml
T
Tariq HasanandGitHub 1f57df4484 ci(boilerplate): enhance copyright boilerplate enforcement (#3665)
* ci(boilerplate): enforce copyright headers on YAML files

Signed-off-by: tariq-hasan <[email protected]>

* ci(boilerplate): enforce year-less header for new files

Signed-off-by: tariq-hasan <[email protected]>

---------

Signed-off-by: tariq-hasan <[email protected]>
2026-07-03 13:39:54 +00:00

114 lines
4.0 KiB
YAML

{{- /*
Copyright 2026 The Kubeflow Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/ -}}
{{- if or .Values.runtimes.torchtuneDistributed.llama3_2_3B.enabled .Values.runtimes.defaultEnabled }}
apiVersion: trainer.kubeflow.org/v1alpha1
kind: ClusterTrainingRuntime
metadata:
name: torchtune-llama3.2-3b
labels:
trainer.kubeflow.org/framework: torchtune
{{- with .Values.runtimes.commonLabels }}
{{- toYaml . | nindent 4 }}
{{- end }}
{{- include "trainer.labels" . | nindent 4 }}
spec:
mlPolicy:
numNodes: 1
torch: {}
template:
spec:
volumeClaimPolicies:
- templates:
- metadata:
name: initializer
spec:
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: 20Gi
replicatedJobs:
- name: dataset-initializer
template:
metadata:
labels:
trainer.kubeflow.org/trainjob-ancestor-step: dataset-initializer
spec:
template:
spec:
containers:
- name: dataset-initializer
image: ghcr.io/kubeflow/trainer/dataset-initializer
env:
- name: STORAGE_URI
value: hf://tatsu-lab/alpaca
volumeMounts:
- mountPath: /workspace
name: initializer
- name: model-initializer
template:
metadata:
labels:
trainer.kubeflow.org/trainjob-ancestor-step: model-initializer
spec:
template:
spec:
containers:
- name: model-initializer
image: ghcr.io/kubeflow/trainer/model-initializer
env:
- name: STORAGE_URI
value: hf://meta-llama/Llama-3.2-3B-Instruct
volumeMounts:
- name: initializer
mountPath: /workspace
- name: node
dependsOn:
- name: dataset-initializer
status: Complete
- name: model-initializer
status: Complete
template:
metadata:
labels:
trainer.kubeflow.org/trainjob-ancestor-step: trainer
spec:
template:
spec:
containers:
- name: node
image: {{ include "trainer.runtimeImage" (list .Values.runtimes.torchtuneDistributed.image .) }}
command:
- tune
- run
- --rdzv_endpoint=localhost:29500
- full_finetune_distributed
- --config
- llama3_2/3B_full
- dataset=torchtune.datasets.instruct_dataset
- dataset.source=parquet
- dataset.data_dir=/workspace/dataset/data
- output_dir=/workspace/output
- tokenizer.path=/workspace/model/original/tokenizer.model
- checkpointer.checkpoint_dir=/workspace/model
resources:
limits:
nvidia.com/gpu: 2
volumeMounts:
- mountPath: /workspace
name: initializer
{{- end }}