Tyler Perkins
bd49c2d00d
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145 lines
4.2 KiB
YAML
145 lines
4.2 KiB
YAML
apiVersion: helm.toolkit.fluxcd.io/v2beta1
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kind: HelmRelease
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metadata:
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name: localai
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namespace: localai-ns
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spec:
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chart:
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spec:
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chart: local-ai
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sourceRef:
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kind: GitRepository
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name: go-skynet
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namespace: flux-system
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interval: 15m0s
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timeout: 5m
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releaseName: localai
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values:
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replicaCount: 1
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deployment:
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image:
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repository: quay.io/go-skynet/local-ai # Example: "docker.io/myapp"
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tag: latest
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env:
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threads: 4
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context_size: 1024
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debug: "true"
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modelsPath: "/models"
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download_model:
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# To use cloud provided (eg AWS) image, provide it like: 1234356789.dkr.ecr.us-REGION-X.amazonaws.com/busybox
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image: busybox
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prompt_templates:
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# To use cloud provided (eg AWS) image, provide it like: 1234356789.dkr.ecr.us-REGION-X.amazonaws.com/busybox
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image: busybox
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pullPolicy: IfNotPresent
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imagePullSecrets: []
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# - name: secret-names
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## Needed for GPU Nodes
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runtimeClassName: nvidia
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resources:
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# {}
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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limits:
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cpu: 100m
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memory: 2048Mi
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nvidia.com/gpu: 3
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# requests:
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# cpu: 100m
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# memory: 128Mi
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# Prompt templates to include
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# Note: the keys of this map will be the names of the prompt template files
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promptTemplates:
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{}
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# ggml-gpt4all-j.tmpl: |
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# The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
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# ### Prompt:
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# {{.Input}}
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# ### Response:
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# Models to download at runtime
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models:
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# Whether to force download models even if they already exist
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forceDownload: false
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# The list of URLs to download models from
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# Note: the name of the file will be the name of the loaded model
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list:
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# - url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
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# basicAuth: base64EncodedCredentials
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initContainers: []
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# Example:
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# - name: my-init-container
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# image: my-init-image
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# imagePullPolicy: IfNotPresent
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# command: ["/bin/sh", "-c", "echo init"]
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# volumeMounts:
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# - name: my-volume
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# mountPath: /path/to/mount
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sidecarContainers: []
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#- name: model-file-browser
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# image: my-sidecar-image
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# imagePullPolicy: IfNotPresent
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# ports:
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# - containerPort: 1234
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# Persistent storage for models and prompt templates.
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# PVC and HostPath are mutually exclusive. If both are enabled,
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# PVC configuration takes precedence. If neither are enabled, ephemeral
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# storage is used.
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persistence:
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models:
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enabled: true
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annotations: {}
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storageClass: "longhorn"
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accessModes: ReadWriteMany
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size: 50Gi
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globalMount: /models
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output:
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enabled: true
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annotations: {}
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storageClass: "longhorn"
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accessModes: ReadWriteMany
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size: 1Gi
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globalMount: /tmp/generated
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service:
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type: LoadBalancer
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# If deferring to an internal only load balancer
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# externalTrafficPolicy: Local
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port: 80
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annotations: {}
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# If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
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# service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
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ingress:
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enabled: false
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className: ""
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annotations:
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{}
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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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hosts:
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- host: chart-example.local
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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nodeSelector: {}
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tolerations: []
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affinity: {}
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