57 lines
1.3 KiB
YAML
57 lines
1.3 KiB
YAML
apiVersion: serving.kserve.io/v1beta1
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kind: InferenceService
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metadata:
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annotations:
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serving.kserve.io/deploymentMode: RawDeployment
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labels:
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app.kubernetes.io/name: llm-reranker
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app.kubernetes.io/part-of: llm-serving
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name: reranker
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namespace: llm-serving
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spec:
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predictor:
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containers:
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- args:
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- --model-id=BAAI/bge-reranker-base
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- --port=8080
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- --hostname=0.0.0.0
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- --auto-truncate
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env:
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- name: HUGGINGFACE_HUB_CACHE
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value: /mnt/models
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image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.8.2@sha256:4d632b76bd14cb57044a1ffb0ad48ab0ba4939e705a9a615ccc740658575c26e
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name: kserve-container
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ports:
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- containerPort: 8080
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protocol: TCP
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readinessProbe:
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httpGet:
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path: /health
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port: 8080
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periodSeconds: 10
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resources:
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limits:
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cpu: '16'
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memory: 8Gi
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requests:
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cpu: '8'
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memory: 4Gi
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startupProbe:
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failureThreshold: 60
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httpGet:
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path: /health
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port: 8080
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periodSeconds: 10
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volumeMounts:
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- mountPath: /mnt/models
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name: models
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maxReplicas: 1
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minReplicas: 1
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nodeSelector:
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kubernetes.io/hostname: worker-1
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volumes:
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- name: models
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persistentVolumeClaim:
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claimName: llm-models
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