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Ollama Docker Compose Setup

Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment. Star History Chart

Getting Started

Prerequisites

Make sure you have the following prerequisites installed on your machine:

  • Docker (should also be able to run docker compose ...)

GPU Support (Optional)

If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi

Configuration

  1. Clone the Docker Compose repository:

    git clone https://github.com/mythrantic/ollama-docker.git

  2. Change to the project directory:

    cd ollama-docker

Usage

Start Ollama and its dependencies using Docker Compose:

if gpu is configured

docker compose -f docker-compose-ollama-gpu.yaml up -d

else

docker compose up -d

Visit http://localhost:8080 in your browser to access Ollama-webui.

Model Installation

Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.

Explore Langchain and Ollama

You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.

Devcontainer and Virtual Environment

The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment. if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container

Stop and Cleanup

To stop the containers and remove the network:

docker compose down

Contributing

We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.

License

This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit

Contact

If you have any questions or concerns, please contact us at vantlynxz@gmail.com.

Enjoy using Ollama with Docker Compose! 🐳🚀

About

Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment

ollama-docker.azurewebsites.net/

Resources

Readme
License
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Ollama Docker Compose Setup
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment.
Star History Chart
Getting Started
Prerequisites
Make sure you have the following prerequisites installed on your machine:
  • Docker (should also be able to run docker compose ...)
GPU Support (Optional)
If you have a GPU and want to leverage its power within a Docker container, follow these steps to install the NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g'| \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
# Configure NVIDIA Container Toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# Test GPU integration
docker run --gpus all nvidia/cuda:11.5.2-base-ubuntu20.04 nvidia-smi
Configuration
  1. Clone the Docker Compose repository:
    git clone https://github.com/mythrantic/ollama-docker.git
  2. Change to the project directory:
    cd ollama-docker
Usage
Start Ollama and its dependencies using Docker Compose:
if gpu is configured
docker compose -f docker-compose-ollama-gpu.yaml up -d
else
docker compose up -d
Visit http://localhost:8080 in your browser to access Ollama-webui.
Model Installation
Navigate to settings -> model and install a model (e.g., llava-phi3). This may take a couple of minutes, but afterward, you can use it just like ChatGPT.
Explore Langchain and Ollama
You can explore Langchain and Ollama within the project. A third container named app has been created for this purpose. Inside, you'll find some examples.
Devcontainer and Virtual Environment
The app container serves as a devcontainer, allowing you to boot into it for experimentation. Additionally, the run.sh file contains code to set up a virtual environment if you prefer not to use Docker for your development environment.
if you have vs code and the `Remote Development´ extension simply opening this project from the root will make vscode ask you to reopen in container
Stop and Cleanup
To stop the containers and remove the network:
docker compose down
Contributing
We welcome contributions! If you'd like to contribute to the Ollama Docker Compose Setup, please follow our Contribution Guidelines.
License
This project is licensed under the RSOSL. Feel free to use, modify, and distribute it according to the terms of the license. Just give me a mention and some credit
Contact
If you have any questions or concerns, please contact us at vantlynxz@gmail.com.
Enjoy using Ollama with Docker Compose! 🐳🚀
About
Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment
ollama-docker.azurewebsites.net/
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages