77 lines
1.8 KiB
YAML
77 lines
1.8 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-verifier
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app.kubernetes.io/part-of: llm-serving
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name: verifier
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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=Qwen/Qwen2.5-Math-PRM-7B
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- --served-model-name=verifier
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- --runner=pooling
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- --dtype=float16
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- --tensor-parallel-size=1
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- --max-model-len=4096
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- --max-num-seqs=8
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- --host=0.0.0.0
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- --port=8080
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env:
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- name: VLLM_USE_FLASHINFER_SAMPLER
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value: '0'
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- name: VLLM_ATTENTION_BACKEND
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value: XFORMERS
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- name: HF_HOME
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value: /mnt/models
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image: vllm/vllm-openai:v0.11.0@sha256:014a95f21c9edf6abe0aea6b07353f96baa4ec291c427bb1176dc7c93a85845c
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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: 16Gi
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nvidia.com/gpu: '1'
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requests:
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cpu: '4'
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memory: 8Gi
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nvidia.com/gpu: '1'
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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: 15
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volumeMounts:
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- mountPath: /mnt/models
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name: models
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- mountPath: /dev/shm
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name: shm
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deploymentStrategy:
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type: Recreate
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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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runtimeClassName: nvidia
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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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- emptyDir:
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medium: Memory
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sizeLimit: 1Gi
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name: shm
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