77 lines
2.0 KiB
YAML
77 lines
2.0 KiB
YAML
# Default values for vllm-app.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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imagePullSecrets: []
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imagePullPolicy: IfNotPresent
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# This is to override the chart name.
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nameOverride: ""
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fullnameOverride: ""
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# This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/
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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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# 模型配置
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model:
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huggingfaceName: "Qwen/Qwen2.5-0.5B-Instruct" # 用户只需输入这个
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localMountPath: "/Model" # PVC 固定挂载路径
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huggingfaceToken: "<your-hf-token>"
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download: # 启用自动下载
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image: "docker.io/vllm/vllm-openai:latest" # 包含 huggingface-cli 的镜像
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# 功能选择
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resources:
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gpuLimit: 1
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cpuRequest: 12
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memoryLimit: "16Gi"
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shmSize: "20Gi"
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svc:
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type: LoadBalancer
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port: 80
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targetPort: 8000
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# nodePort: 30080
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# vLLM 应用配置
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vllm:
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image: "docker.io/vllm/vllm-openai:latest"
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command: ""
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llama:
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image: "docker.io/library/one-click:v1"
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# lmdeploy 应用配置
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lmdeploy:
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image: "docker.io/openmmlab/lmdeploy:latest-cu12"
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# NFS PV/PVC 配置
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nfs:
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server: "10.6.80.11"
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path: "/volume1/Dataset/PVStore/lab-data-model-pvc-c0beeab1-6dd5-4c6a-bd2c-6ce9e114c25e/Weight"
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# storageClass: "local-path"
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pvSize: "500Gi"
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pvcSize: "50Gi"
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# LeaderWorkerSet 配置
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replicaCount: 1
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workerSize: 1
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nodeSelector: {}
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tolerations: []
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affinity: {}
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