Templates
Stack
binding
01
This stack is on the way.
The services and the wiring land in this header.
Templates
Stack
binding
01
This stack is on the way.
The services and the wiring land in this header.
Templates
Stack
binding
The services and the wiring land in this header.
Templates
Stack
binding
The services and the wiring land in this header.
Templates
Stack
binding
The services and the wiring land in this header.
Official · AI/ML · 1 docker
ollama
Run open-source LLMs locally with a simple API.
preflight
topology
Each card is a service this deploy creates. A line means one service reads another through env.
binds
Host path on the node, then the path inside the container.
ollama
/var/lib/dokku/data/storage/ollama/default
/root/.ollama
listen
Service on the left. Host port, then the container port and scheme.
you set
Literals and placeholders. Wiring to another service lives on the topology, not here.
OLLAMA_HOST
ollama
0.0.0.0:11434
OLLAMA_ORIGINS
ollama
*
notes
Written with the template. Topology, binds, and values you set live in the sections above.
Ollama is an open-source platform for running large language models locally. It makes it easy to download, manage, and serve models like Llama, Mistral, Gemma, Qwen, DeepSeek, and many others through a simple API.
This dFlow template deploys Ollama using the official Docker image, providing a self-hosted API for running AI models on your own infrastructure. Connect your applications, AI agents, or tools to Ollama and manage models with full control over your environment.
Deploy Ollama in minutes with automatic HTTPS, persistent storage, environment variable management, custom domains, and centralized application management—all from a single dashboard.
Official · AI/ML · 1 docker
ollama
Run open-source LLMs locally with a simple API.
preflight
topology
Each card is a service this deploy creates. A line means one service reads another through env.
binds
Host path on the node, then the path inside the container.
ollama
/var/lib/dokku/data/storage/ollama/default
/root/.ollama
listen
Service on the left. Host port, then the container port and scheme.
you set
Literals and placeholders. Wiring to another service lives on the topology, not here.
OLLAMA_HOST
ollama
0.0.0.0:11434
OLLAMA_ORIGINS
ollama
*
notes
Written with the template. Topology, binds, and values you set live in the sections above.
Ollama is an open-source platform for running large language models locally. It makes it easy to download, manage, and serve models like Llama, Mistral, Gemma, Qwen, DeepSeek, and many others through a simple API.
This dFlow template deploys Ollama using the official Docker image, providing a self-hosted API for running AI models on your own infrastructure. Connect your applications, AI agents, or tools to Ollama and manage models with full control over your environment.
Deploy Ollama in minutes with automatic HTTPS, persistent storage, environment variable management, custom domains, and centralized application management—all from a single dashboard.