first backup of charts
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Ivan087
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webui/open-webui/charts/ollama/README.md
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[](https://artifacthub.io/packages/helm/ollama-helm/ollama)
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[](https://github.com/otwld/ollama-helm/actions/workflows/ci.yaml)
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[](https://discord.gg/U24mpqTynB)
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[Ollama](https://ollama.ai/), get up and running with large language models, locally.
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This Community Chart is for deploying [Ollama](https://github.com/ollama/ollama).
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## Requirements
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- Kubernetes: `>= 1.16.0-0` for **CPU only**
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- Kubernetes: `>= 1.26.0-0` for **GPU** stable support (NVIDIA and AMD)
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*Not all GPUs are currently supported with ollama (especially with AMD)*
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## Deploying Ollama chart
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To install the `ollama` chart in the `ollama` namespace:
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> [!IMPORTANT]
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> We are migrating the registry from https://otwld.github.io/ollama-helm/ url to OTWLD Helm central
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> registry https://helm.otwld.com/
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> Please update your Helm registry accordingly.
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```console
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helm repo add otwld https://helm.otwld.com/
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helm repo update
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helm install ollama otwld/ollama --namespace ollama --create-namespace
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```
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## Upgrading Ollama chart
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First please read the [release notes](https://github.com/ollama/ollama/releases) of Ollama to make sure there are no
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backwards incompatible changes.
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Make adjustments to your values as needed, then run `helm upgrade`:
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```console
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# -- This pulls the latest version of the ollama chart from the repo.
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helm repo update
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helm upgrade ollama otwld/ollama --namespace ollama --values values.yaml
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```
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## Uninstalling Ollama chart
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To uninstall/delete the `ollama` deployment in the `ollama` namespace:
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```console
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helm delete ollama --namespace ollama
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```
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Substitute your values if they differ from the examples. See `helm delete --help` for a full reference on `delete`
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parameters and flags.
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## Interact with Ollama
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- **Ollama documentation can be found [HERE](https://github.com/ollama/ollama/tree/main/docs)**
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- Interact with RESTful API: [Ollama API](https://github.com/ollama/ollama/blob/main/docs/api.md)
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- Interact with official clients libraries: [ollama-js](https://github.com/ollama/ollama-js#custom-client)
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and [ollama-python](https://github.com/ollama/ollama-python#custom-client)
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- Interact with langchain: [langchain-js](https://github.com/ollama/ollama/blob/main/docs/tutorials/langchainjs.md)
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and [langchain-python](https://github.com/ollama/ollama/blob/main/docs/tutorials/langchainpy.md)
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## Examples
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- **It's highly recommended to run an updated version of Kubernetes for deploying ollama with GPU**
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### Basic values.yaml example with GPU and two models pulled at startup
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```
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ollama:
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gpu:
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# -- Enable GPU integration
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enabled: true
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# -- GPU type: 'nvidia' or 'amd'
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type: 'nvidia'
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# -- Specify the number of GPU to 1
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number: 1
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# -- List of models to pull at container startup
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models:
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pull:
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- mistral
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- llama2
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```
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---
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### Basic values.yaml example with Ingress
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```
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ollama:
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models:
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pull:
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- llama2
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ingress:
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enabled: true
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hosts:
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- host: ollama.domain.lan
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paths:
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- path: /
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pathType: Prefix
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```
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- *API is now reachable at `ollama.domain.lan`*
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---
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### Create and run model from template
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```
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ollama:
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models:
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create:
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- name: llama3.1-ctx32768
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template: |
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FROM llama3.1
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PARAMETER num_ctx 32768
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run:
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- llama3.1-ctx32768
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```
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## Upgrading from 0.X.X to 1.X.X
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The version 1.X.X introduces the ability to load models in memory at startup, the values have been changed.
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Please change `ollama.models` to `ollama.models.pull` to avoid errors before upgrading:
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```yaml
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ollama:
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models:
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- mistral
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- llama2
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```
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To:
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```yaml
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ollama:
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models:
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pull:
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- mistral
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- llama2
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```
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## Helm Values
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- See [values.yaml](values.yaml) to see the Chart's default values.
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| Key | Type | Default | Description |
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|--------------------------------------------|--------|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| affinity | object | `{}` | Affinity for pod assignment |
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| autoscaling.enabled | bool | `false` | Enable autoscaling |
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| autoscaling.maxReplicas | int | `100` | Number of maximum replicas |
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| autoscaling.minReplicas | int | `1` | Number of minimum replicas |
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| autoscaling.targetCPUUtilizationPercentage | int | `80` | CPU usage to target replica |
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| deployment.labels | object | `{}` | Labels to add to the deployment |
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| extraArgs | list | `[]` | Additional arguments on the output Deployment definition. |
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| extraEnv | list | `[]` | Additional environments variables on the output Deployment definition. For extra OLLAMA env, please refer to https://github.com/ollama/ollama/blob/main/envconfig/config.go |
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| extraEnvFrom | list | `[]` | Additionl environment variables from external sources (like ConfigMap) |
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| extraObjects | list | `[]` | Extra K8s manifests to deploy |
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| fullnameOverride | string | `""` | String to fully override template |
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| hostIPC | bool | `false` | Use the host’s ipc namespace. |
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| hostNetwork | bool | `false` | Use the host's network namespace. |
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| hostPID | bool | `false` | Use the host’s pid namespace |
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| image.pullPolicy | string | `"IfNotPresent"` | Docker pull policy |
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| image.repository | string | `"ollama/ollama"` | Docker image registry |
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| image.tag | string | `""` | Docker image tag, overrides the image tag whose default is the chart appVersion. |
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| imagePullSecrets | list | `[]` | Docker registry secret names as an array |
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| ingress.annotations | object | `{}` | Additional annotations for the Ingress resource. |
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| ingress.className | string | `""` | IngressClass that will be used to implement the Ingress (Kubernetes 1.18+) |
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| ingress.enabled | bool | `false` | Enable ingress controller resource |
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| ingress.hosts[0].host | string | `"ollama.local"` | |
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| ingress.hosts[0].paths[0].path | string | `"/"` | |
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| ingress.hosts[0].paths[0].pathType | string | `"Prefix"` | |
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| ingress.tls | list | `[]` | The tls configuration for hostnames to be covered with this ingress record. |
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| initContainers | list | `[]` | Init containers to add to the pod |
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| knative.annotations | object | `{}` | Knative service annotations |
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| knative.containerConcurrency | int | `0` | Knative service container concurrency |
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| knative.enabled | bool | `false` | Enable Knative integration |
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| knative.idleTimeoutSeconds | int | `300` | Knative service idle timeout seconds |
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| knative.responseStartTimeoutSeconds | int | `300` | Knative service response start timeout seconds |
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| knative.timeoutSeconds | int | `300` | Knative service timeout seconds |
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| lifecycle | object | `{}` | Lifecycle for pod assignment (override ollama.models startup pull/run) |
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| livenessProbe.enabled | bool | `true` | Enable livenessProbe |
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| livenessProbe.failureThreshold | int | `6` | Failure threshold for livenessProbe |
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| livenessProbe.initialDelaySeconds | int | `60` | Initial delay seconds for livenessProbe |
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| livenessProbe.path | string | `"/"` | Request path for livenessProbe |
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| livenessProbe.periodSeconds | int | `10` | Period seconds for livenessProbe |
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| livenessProbe.successThreshold | int | `1` | Success threshold for livenessProbe |
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| livenessProbe.timeoutSeconds | int | `5` | Timeout seconds for livenessProbe |
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| nameOverride | string | `""` | String to partially override template (will maintain the release name) |
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| namespaceOverride | string | `""` | String to fully override namespace |
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| nodeSelector | object | `{}` | Node labels for pod assignment. |
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| ollama.gpu.draDriverClass | string | `"gpu.nvidia.com"` | DRA GPU DriverClass |
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| ollama.gpu.draEnabled | bool | `false` | Enable DRA GPU integration If enabled, it will use DRA instead of Device Driver Plugin and create a ResourceClaim and GpuClaimParameters |
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| ollama.gpu.draExistingClaimTemplate | string | `""` | Existing DRA GPU ResourceClaim Template |
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| ollama.gpu.enabled | bool | `false` | Enable GPU integration |
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| ollama.gpu.mig.devices | object | `{}` | Specify the mig devices and the corresponding number |
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| ollama.gpu.mig.enabled | bool | `false` | Enable multiple mig devices If enabled you will have to specify the mig devices If enabled is set to false this section is ignored |
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| ollama.gpu.number | int | `1` | Specify the number of GPU If you use MIG section below then this parameter is ignored |
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| ollama.gpu.nvidiaResource | string | `"nvidia.com/gpu"` | only for nvidia cards; change to (example) 'nvidia.com/mig-1g.10gb' to use MIG slice |
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| ollama.gpu.type | string | `"nvidia"` | GPU type: 'nvidia' or 'amd' If 'ollama.gpu.enabled', default value is nvidia If set to 'amd', this will add 'rocm' suffix to image tag if 'image.tag' is not override This is due cause AMD and CPU/CUDA are different images |
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| ollama.insecure | bool | `false` | Add insecure flag for pulling at container startup |
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| ollama.models.clean | bool | `false` | Automatically remove models present on the disk but not specified in the values file |
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| ollama.models.create | list | `[]` | List of models to create at container startup, there are two options 1. Create a raw model 2. Load a model from configMaps, configMaps must be created before and are loaded as volume in "/models" directory. create: - name: llama3.1-ctx32768 configMapRef: my-configmap configMapKeyRef: configmap-key - name: llama3.1-ctx32768 template: | FROM llama3.1 PARAMETER num_ctx 32768 |
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| ollama.models.pull | list | `[]` | List of models to pull at container startup The more you add, the longer the container will take to start if models are not present pull: - llama2 - mistral |
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| ollama.models.run | list | `[]` | List of models to load in memory at container startup run: - llama2 - mistral |
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| ollama.mountPath | string | `""` | Override ollama-data volume mount path, default: "/root/.ollama" |
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| ollama.port | int | `11434` | |
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| persistentVolume.accessModes | list | `["ReadWriteOnce"]` | Ollama server data Persistent Volume access modes Must match those of existing PV or dynamic provisioner Ref: http://kubernetes.io/docs/user-guide/persistent-volumes/ |
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| persistentVolume.annotations | object | `{}` | Ollama server data Persistent Volume annotations |
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| persistentVolume.enabled | bool | `false` | Enable persistence using PVC |
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| persistentVolume.existingClaim | string | `""` | If you'd like to bring your own PVC for persisting Ollama state, pass the name of the created + ready PVC here. If set, this Chart will not create the default PVC. Requires server.persistentVolume.enabled: true |
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| persistentVolume.size | string | `"30Gi"` | Ollama server data Persistent Volume size |
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| persistentVolume.storageClass | string | `""` | Ollama server data Persistent Volume Storage Class If defined, storageClassName: <storageClass> If set to "-", storageClassName: "", which disables dynamic provisioning If undefined (the default) or set to null, no storageClassName spec is set, choosing the default provisioner. (gp2 on AWS, standard on GKE, AWS & OpenStack) |
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| persistentVolume.subPath | string | `""` | Subdirectory of Ollama server data Persistent Volume to mount Useful if the volume's root directory is not empty |
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| persistentVolume.volumeMode | string | `""` | Ollama server data Persistent Volume Binding Mode If defined, volumeMode: <volumeMode> If empty (the default) or set to null, no volumeBindingMode spec is set, choosing the default mode. |
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| persistentVolume.volumeName | string | `""` | Pre-existing PV to attach this claim to Useful if a CSI auto-provisions a PV for you and you want to always reference the PV moving forward |
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| podAnnotations | object | `{}` | Map of annotations to add to the pods |
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| podLabels | object | `{}` | Map of labels to add to the pods |
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| podSecurityContext | object | `{}` | Pod Security Context |
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| priorityClassName | string | `""` | Priority Class Name |
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| readinessProbe.enabled | bool | `true` | Enable readinessProbe |
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| readinessProbe.failureThreshold | int | `6` | Failure threshold for readinessProbe |
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| readinessProbe.initialDelaySeconds | int | `30` | Initial delay seconds for readinessProbe |
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| readinessProbe.path | string | `"/"` | Request path for readinessProbe |
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| readinessProbe.periodSeconds | int | `5` | Period seconds for readinessProbe |
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| readinessProbe.successThreshold | int | `1` | Success threshold for readinessProbe |
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| readinessProbe.timeoutSeconds | int | `3` | Timeout seconds for readinessProbe |
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| replicaCount | int | `1` | Number of replicas |
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| resources.limits | object | `{}` | Pod limit |
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| resources.requests | object | `{}` | Pod requests |
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| runtimeClassName | string | `""` | Specify runtime class |
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| securityContext | object | `{}` | Container Security Context |
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| service.annotations | object | `{}` | Annotations to add to the service |
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| service.labels | object | `{}` | Labels to add to the service |
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| service.loadBalancerIP | string | `nil` | Load Balancer IP address |
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| service.nodePort | int | `31434` | Service node port when service type is 'NodePort' |
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| service.port | int | `11434` | Service port |
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| service.type | string | `"ClusterIP"` | Service type |
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| serviceAccount.annotations | object | `{}` | Annotations to add to the service account |
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| serviceAccount.automount | bool | `true` | Automatically mount a ServiceAccount's API credentials? |
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| serviceAccount.create | bool | `true` | Specifies whether a service account should be created |
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| serviceAccount.name | string | `""` | The name of the service account to use. If not set and create is true, a name is generated using the fullname template |
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| terminationGracePeriodSeconds | int | `120` | Wait for a grace period |
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| tests.annotations | object | `{}` | Annotations to add to the tests |
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| tests.enabled | bool | `true` | |
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| tests.labels | object | `{}` | Labels to add to the tests |
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| tolerations | list | `[]` | Tolerations for pod assignment |
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| topologySpreadConstraints | object | `{}` | Topology Spread Constraints for pod assignment |
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| updateStrategy.type | string | `"Recreate"` | Deployment strategy can be "Recreate" or "RollingUpdate". Default is Recreate |
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| volumeMounts | list | `[]` | Additional volumeMounts on the output Deployment definition. |
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| volumes | list | `[]` | Additional volumes on the output Deployment definition. |
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----------------------------------------------
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## Core team
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<table>
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<tr>
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<td align="center">
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<a href="https://github.com/jdetroyes"
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><img
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src="https://github.com/jdetroyes.png?size=200"
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width="50"
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style="margin-bottom: -4px; border-radius: 8px;"
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alt="Jean Baptiste Detroyes"
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/><br /><b> Jean Baptiste Detroyes </b></a
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>
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<div style="margin-top: 4px">
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<a href="https://github.com/jdetroyes" title="Github"
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><img
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width="16"
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||||
src="https://raw.githubusercontent.com/MarsiBarsi/readme-icons/main/github.svg"
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/></a>
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<a
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href="mailto:jdetroyes@otwld.com"
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title="Email"
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||||
><img
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width="16"
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||||
src="https://raw.githubusercontent.com/MarsiBarsi/readme-icons/main/send.svg"
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/></a>
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</div>
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</td>
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<td align="center">
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||||
<a href="https://github.com/ntrehout"
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||||
><img
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src="https://github.com/ntrehout.png?size=200"
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width="50"
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style="margin-bottom: -4px; border-radius: 8px;"
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alt="Jean Baptiste Detroyes"
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/><br /><b> Nathan Tréhout </b></a
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>
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<div style="margin-top: 4px">
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<a href="https://x.com/n_trehout" title="Twitter"
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||||
><img
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||||
width="16"
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||||
src="https://raw.githubusercontent.com/MarsiBarsi/readme-icons/main/twitter.svg"
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||||
/></a>
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||||
<a href="https://github.com/ntrehout" title="Github"
|
||||
><img
|
||||
width="16"
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||||
src="https://raw.githubusercontent.com/MarsiBarsi/readme-icons/main/github.svg"
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||||
/></a>
|
||||
<a
|
||||
href="mailto:ntrehout@otwld.com"
|
||||
title="Email"
|
||||
><img
|
||||
width="16"
|
||||
src="https://raw.githubusercontent.com/MarsiBarsi/readme-icons/main/send.svg"
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||||
/></a>
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||||
</div>
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||||
</td>
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||||
</tr>
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||||
</table>
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## Support
|
||||
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- For questions, suggestions, and discussion about Ollama please refer to
|
||||
the [Ollama issue page](https://github.com/ollama/ollama/issues)
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||||
- For questions, suggestions, and discussion about this chart please
|
||||
visit [Ollama-Helm issue page](https://github.com/otwld/ollama-helm/issues) or join
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||||
our [OTWLD Discord](https://discord.gg/U24mpqTynB)
|
||||
Reference in New Issue
Block a user