Downloads:
73
Downloads of v 0.7.1:
73
Last Update:
09 Jul 2024
Package Maintainer(s):
Software Author(s):
- nekomeowww
Tags:
kollama kubernetes kubernetes-operators ai ollama llm llama llamacppOllama Operator
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0.7.1 | Updated: 09 Jul 2024
Downloads:
73
Downloads of v 0.7.1:
73
Maintainer(s):
Software Author(s):
- nekomeowww
Ollama Operator 0.7.1
Legal Disclaimer: Neither this package nor Chocolatey Software, Inc. are affiliated with or endorsed by nekomeowww. The inclusion of nekomeowww trademark(s), if any, upon this webpage is solely to identify nekomeowww goods or services and not for commercial purposes.
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All Checks are Passing
3 Passing Tests
Deployment Method: Individual Install, Upgrade, & Uninstall
To install Ollama Operator, run the following command from the command line or from PowerShell:
To upgrade Ollama Operator, run the following command from the command line or from PowerShell:
To uninstall Ollama Operator, run the following command from the command line or from PowerShell:
Deployment Method:
This applies to both open source and commercial editions of Chocolatey.
1. Enter Your Internal Repository Url
(this should look similar to https://community.chocolatey.org/api/v2/)
2. Setup Your Environment
1. Ensure you are set for organizational deployment
Please see the organizational deployment guide
2. Get the package into your environment
Option 1: Cached Package (Unreliable, Requires Internet - Same As Community)-
Open Source or Commercial:
- Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2/. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
- You can also just download the package and push it to a repository Download
-
Open Source
-
Download the package:
Download - Follow manual internalization instructions
-
-
Package Internalizer (C4B)
-
Run: (additional options)
choco download kollama --internalize --source=https://community.chocolatey.org/api/v2/
-
For package and dependencies run:
choco push --source="'INTERNAL REPO URL'"
- Automate package internalization
-
Run: (additional options)
3. Copy Your Script
choco upgrade kollama -y --source="'INTERNAL REPO URL'" [other options]
See options you can pass to upgrade.
See best practices for scripting.
Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.
If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:
choco upgrade kollama -y --source="'INTERNAL REPO URL'"
$exitCode = $LASTEXITCODE
Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
Exit 0
}
Exit $exitCode
- name: Install kollama
win_chocolatey:
name: kollama
version: '0.7.1'
source: INTERNAL REPO URL
state: present
See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.
chocolatey_package 'kollama' do
action :install
source 'INTERNAL REPO URL'
version '0.7.1'
end
See docs at https://docs.chef.io/resource_chocolatey_package.html.
cChocoPackageInstaller kollama
{
Name = "kollama"
Version = "0.7.1"
Source = "INTERNAL REPO URL"
}
Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.
package { 'kollama':
ensure => '0.7.1',
provider => 'chocolatey',
source => 'INTERNAL REPO URL',
}
Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.
4. If applicable - Chocolatey configuration/installation
See infrastructure management matrix for Chocolatey configuration elements and examples.
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This package was approved by moderator flcdrg on 29 Jul 2024.
While Ollama is a powerful tool for running large language models locally, and the user experience of CLI is just the same as using Docker CLI, it's not possible yet to replicate the same user experience on Kubernetes, especially when it comes to running multiple models on the same cluster with loads of resources and configurations.
That's where the Ollama Operator kicks in:
- Install the operator on your Kubernetes cluster
- Apply the needed CRDs
- Create your models
- Wait for the models to be fetched and loaded, that's it!
Thanks to the great works of lama.cpp, no more worries about Python environment, CUDA drivers.
The journey to large language models, AIGC, localized agents, 🦜🔗 Langchain and more is just a few steps away!
## Features
- ✅ Abilities to run multiple models on the same cluster.
- ✅ Compatible with all Ollama models, APIs, and CLI.
- ✅ Able to run on general Kubernetes clusters, K3s clusters (Respberry Pi, TrueNAS SCALE, etc.), kind, minikube, etc. You name it!
- ✅ Easy to install, uninstall, and upgrade.
- ✅ Pull image once, share across the entire node (just like normal images).
- ✅ Easy to expose with existing Kubernetes services, ingress, etc.
- ✅ Doesn't require any additional dependencies, just Kubernetes.
Log in or click on link to see number of positives.
- kollama.0.7.1.nupkg (99607e95f6f4) - ## / 68
- kollama_v0.7.1_windows_amd64.zip (379f52fde3fc) - ## / 69
In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).
Chocolatey Pro provides runtime protection from possible malware.
This package has no dependencies.
Ground Rules:
- This discussion is only about Ollama Operator and the Ollama Operator package. If you have feedback for Chocolatey, please contact the Google Group.
- This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
- The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
- Tell us what you love about the package or Ollama Operator, or tell us what needs improvement.
- Share your experiences with the package, or extra configuration or gotchas that you've found.
- If you use a url, the comment will be flagged for moderation until you've been whitelisted. Disqus moderated comments are approved on a weekly schedule if not sooner. It could take between 1-5 days for your comment to show up.