mirror of
https://github.com/nold360/hive-apps
synced 2024-12-23 14:11:13 +00:00
141 lines
3.7 KiB
YAML
141 lines
3.7 KiB
YAML
replicaCount: 1
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deployment:
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image:
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repository: quay.io/go-skynet/local-ai
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#tag: latest-aio-gpu-nvidia-cuda-12
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tag: v2.24.0-cublas-cuda12-ffmpeg
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pullPolicy: Always
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runtimeClassName: nvidia
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env:
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threads: 16
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context_size: 4096
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DEBUG: "true"
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#
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# SINGLE_ACTIVE_BACKEND: "true"
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# PYTHON_GRPC_MAX_WORKERS: "1"
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# LLAMACPP_PARALLEL: "1"
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# PARALLEL_REQUESTS: "false"
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## Specify a different bind address (defaults to ":8080")
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# ADDRESS=127.0.0.1:8080
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## Define galleries.
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## models will to install will be visible in `/models/available`
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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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## Default path for models
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#MODELS_PATH=/models
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## Enable debug mode
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#DEBUG=true
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## Disables COMPEL (Lets Stable Diffuser work, uncomment if you plan on using it)
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# COMPEL=0
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## Enable/Disable single backend (useful if only one GPU is available)
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# SINGLE_ACTIVE_BACKEND=true
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## Specify a build type. Available: cublas, openblas, clblas.
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#BUILD_TYPE=cublas
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## Uncomment and set to true to enable rebuilding from source
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# REBUILD=true
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## Enable go tags, available: stablediffusion, tts
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## stablediffusion: image generation with stablediffusion
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## tts: enables text-to-speech with go-piper
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## (requires REBUILD=true)
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#
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#GO_TAGS=tts
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## Path where to store generated images
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# IMAGE_PATH=/tmp
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## Specify a default upload limit in MB (whisper)
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# UPLOAD_LIMIT
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# HUGGINGFACEHUB_API_TOKEN=Token here
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# Inject Secrets into Environment:
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secretEnv:
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- name: HF_TOKEN
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valueFrom:
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secretKeyRef:
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name: localai
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key: hf-token
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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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resources:
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requests:
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memory: 100Mi
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limits:
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memory: 64Gi
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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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persistence:
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models:
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enabled: true
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annotations: {}
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storageClass: ssd
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accessModes: ReadWriteOnce
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size: 100Gi
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globalMount: /models
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output:
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enabled: false
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annotations: {}
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storageClass: ssd
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accessModes: ReadWriteOnce
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size: 100Gi
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globalMount: /tmp/generated
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service:
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type: ClusterIP
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port: 80
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ingress:
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enabled: true
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className: "ingress-internal"
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annotations:
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cert-manager.io/cluster-issuer: vault-issuer
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nginx.ingress.kubernetes.io/proxy-buffering: "off"
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nginx.ingress.kubernetes.io/proxy-http-version: "1.1"
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nginx.ingress.kubernetes.io/chunked-transfer-encoding: "on"
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nginx.ingress.kubernetes.io/proxy_request_buffering: "off"
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hosts:
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- host: ai.dc
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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: localai-tls
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hosts:
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- ai.dc
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