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Deploy InferenceService with models from ModelScope Hub

You can specify the storageUri field on InferenceService YAML with the following format to deploy the models from ModelScope Hub.

ms://${NAMESPACE}/${MODEL}:${REVISION}(optional)

e.g. ms://qwen/Qwen2-0.5B-Instruct

ModelScope is one of the largest model hubs in China, hosting popular models such as Qwen, DeepSeek, and many others.

Public ModelScope Models​

If no credential is provided, an anonymous client will be used to download the model from the ModelScope repository.

Private ModelScope Models​

KServe supports authenticating with MS_TOKEN for downloading the model. Create a Kubernetes secret to store the ModelScope token.

yaml
apiVersion: v1
kind: Secret
metadata:
  name: storage-config
type: Opaque
data:
  MS_TOKEN: bXN0X1ZOVXdSV0FHQmtJeFpmTEx1a3NlR3lvVVZvbnVOaUR1VU0==

Deploy InferenceService with Models from ModelScope Hub​

Option 1: Use Service Account with Secret Ref​

Create a Kubernetes ServiceAccount with the ModelScope token secret name reference and specify the ServiceAccountName in the InferenceService Spec.

apiVersion: v1
kind: ServiceAccount
metadata:
  name: msserviceacc
secrets:
  - name: storage-config
---
apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
  name: modelscope-qwen
spec:
  predictor:
    serviceAccountName: msserviceacc  # Option 1 for authenticating with MS_TOKEN
    model:
      modelFormat:
        name: huggingface
      args:
        - --model_name=qwen
        - --model_dir=/mnt/models
      storageUri: ms://qwen/Qwen2-0.5B-Instruct
      resources:
        limits:
          cpu: "6"
          memory: 24Gi
          nvidia.com/gpu: "1"
        requests:
          cpu: "6"
          memory: 24Gi
          nvidia.com/gpu: "1"

Option 2: Use Environment Variable with Secret Ref​

Create a Kubernetes ModelScope token secret and specify the MS token secret reference using environment variable in the InferenceService Spec.

apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
  name: modelscope-qwen
spec:
  predictor:
    model:
      modelFormat:
        name: huggingface
      args:
        - --model_name=qwen
        - --model_dir=/mnt/models
      storageUri: ms://qwen/Qwen2-0.5B-Instruct
      resources:
        limits:
          cpu: "6"
          memory: 24Gi
          nvidia.com/gpu: "1"
        requests:
          cpu: "6"
          memory: 24Gi
          nvidia.com/gpu: "1"
      env:
        - name: MS_TOKEN  # Option 2 for authenticating with MS_TOKEN
          valueFrom:
            secretKeyRef:
              name: storage-config
              key: MS_TOKEN
              optional: false

Check the InferenceService status.​

kubectl get inferenceservices modelscope-qwen
Expected Output
NAME              URL                                                READY   PREV   LATEST   PREVROLLEDOUTREVISION   LATESTREADYREVISION                       AGE
modelscope-qwen   http://modelscope-qwen.default.example.com         True           100                              modelscope-qwen-predictor-default-47q2g   7d23h