helm-charts
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上传日期：2023-08-02 00:29:13
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sh-1993
说明： 去天网头盔图表库，
(go-skynet helm chart repository,)
文件列表:
charts/ (0, 2023-11-28)
charts/local-ai/ (0, 2023-11-28)
charts/local-ai/Chart.yaml (152, 2023-11-28)
charts/local-ai/templates/ (0, 2023-11-28)
charts/local-ai/templates/_helpers.tpl (1369, 2023-11-28)
charts/local-ai/templates/configmap-prompt-templates.yaml (257, 2023-11-28)
charts/local-ai/templates/deployment.yaml (4857, 2023-11-28)
charts/local-ai/templates/ingress.yaml (2081, 2023-11-28)
charts/local-ai/templates/pvc-models.yaml (682, 2023-11-28)
charts/local-ai/templates/service.yaml (661, 2023-11-28)
charts/local-ai/values.yaml (2913, 2023-11-28)
renovate.json (107, 2023-11-28)
# Overview
Helm charts for go-skynet projects.
## LocalAI Installation
Add the go-skynet helm repo:
```bash
helm repo add go-skynet https://go-skynet.github.io/helm-charts/
```
Create a `values.yaml` file for the LocalAI chart and customize as needed:
```bash
cat < values.yaml
replicaCount: 1
deployment:
image: quay.io/go-skynet/local-ai:latest
env:
threads: 4
context_size: 512
modelsPath: "/models"
resources:
{}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# Prompt templates to include
# Note: the keys of this map will be the names of the prompt template files
promptTemplates:
{}
# ggml-gpt4all-j.tmpl: |
# 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.
# ### Prompt:
# {{.Input}}
# ### Response:
# Models to download at runtime
models:
# Whether to force download models even if they already exist
forceDownload: false
# The list of URLs to download models from
# Note: the name of the file will be the name of the loaded model
list:
- url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
# basicAuth: base64EncodedCredentials
# Persistent storage for models and prompt templates.
# PVC and HostPath are mutually exclusive. If both are enabled,
# PVC configuration takes precedence. If neither are enabled, ephemeral
# storage is used.
persistence:
pvc:
enabled: false
size: 6Gi
accessModes:
- ReadWriteOnce
annotations: {}
# Optional
storageClass: ~
hostPath:
enabled: false
path: "/models"
service:
type: ClusterIP
port: 80
annotations: {}
# If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
# service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
ingress:
enabled: false
className: ""
annotations:
{}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
hosts:
- host: chart-example.local
paths:
- path: /
pathType: ImplementationSpecific
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
nodeSelector: {}
tolerations: []
affinity: {}
```
Install the LocalAI chart:
```bash
helm install local-ai go-skynet/local-ai -f values.yaml
```
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