mirror of
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96 lines
2.8 KiB
YAML
96 lines
2.8 KiB
YAML
replicaCount: 1
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deployment:
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# https://quay.io/repository/go-skynet/local-ai?tab=tags
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image: quay.io/go-skynet/local-ai:v1.23.0
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env:
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threads: 4
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debug: "true"
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context_size: 512
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galleries: '[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
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preload_models: '[{ "id": "huggingface@thebloke__open-llama-13b-open-instruct-ggml__open-llama-13b-open-instruct.ggmlv3.q3_k_m.bin", "name": "gpt-3.5-turbo", "overrides": { "f16": true, "mmap": true }}]'
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modelsPath: "/models"
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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: 128Mi
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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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# 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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pvc:
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enabled: false
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size: 6Gi
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accessModes:
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- ReadWriteOnce
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annotations: {}
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# Optional
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storageClass: ~
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hostPath:
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enabled: false
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path: "/models"
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service:
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type: ClusterIP
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port: 8080
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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: {} |