overthinkos/ollama
ov-images/skills/ollama/SKILL.md
Standalone Ollama LLM inference server with CUDA GPU support. Runs as a supervisord service on port 11434 with persistent model storage. MUST be invoked before building, deploying, configuring, or troubleshooting the ollama image.
development
Updated Apr 24, 2026
$ install --global
skillsauthnpx skillsauth add overthinkos/overthink-plugins ollamaInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 24, 2026, 2:26 PM137.2s1 file scanned
SKILL.md
- name:
- ollama
- description:
- |
ollama
GPU-accelerated Ollama LLM inference server.
Image Properties
| Property | Value | |----------|-------| | Base | nvidia | | Layers | agent-forwarding, ollama | | Platforms | linux/amd64 | | Ports | 11434 | | Registry | ghcr.io/overthinkos |
Full Layer Stack
fedora→nvidia(CUDA base)pixi→python→supervisord(transitive)ollama— LLM server, models volume
Ports
| Port | Service | Protocol | |------|---------|----------| | 11434 | Ollama API | HTTP |
Volumes
| Name | Path | Purpose | |------|------|---------| | models | ~/.ollama | Model storage |
Quick Start
ov image build ollama
ov config ollama
ov start ollama
ov shell ollama -c "ollama pull llama3"
ov shell ollama -c "ollama run llama3 'Hello'"
Host Alias
ov alias install ollama
# Now: ollama pull llama3 (runs inside the container)
Service Environment
When deployed via ov config ollama, this image automatically provides OLLAMA_HOST=http://ov-ollama:11434 to all other deployed containers via the env_provides mechanism. Use --update-all to propagate to already-deployed services:
ov config ollama --update-all
This means containers like jupyter-ml-notebook automatically discover the Ollama endpoint without manual OLLAMA_HOST configuration.
Key Layers
/ov-layers:ollama— Ollama binary, supervisord service, model volume/ov-layers:cuda— GPU support (via nvidia base)
Related Images
/ov-images:nvidia— parent (GPU without Ollama)/ov-images:openclaw-ollama— OpenClaw gateway + Ollama/ov-images:openclaw-ollama-sway-browser— full stack with desktop/ov-images:jupyter-ml-notebook— Jupyter with Ollama integration notebooks (receivesOLLAMA_HOSTautomatically via env_provides when ollama is deployed)/ov-images:openwebui— Open WebUI (receivesOLLAMA_HOSTvia env_provides, auto-configures asOLLAMA_BASE_URL)
Related Layers
/ov-layers:ollama— the Ollama binary layer/ov-layers:notebook-ollama— 6 Jupyter notebooks demonstrating Ollama APIs (requests, OpenAI, ollama lib, Anthropic, HuggingFace, GPU)
Verification
After ov start:
ov status ollama— container runningov service status ollama— all services RUNNINGcurl -s http://localhost:11434/api/tags— Ollama API responds
When to Use This Skill
MUST be invoked when the task involves the ollama image, LLM model serving, or the standalone Ollama deployment. Invoke this skill BEFORE reading source code or launching Explore agents.
Related
/ov:image— image family umbrella (image:entries inoverthink.yml, build/validate/inspect/list)/ov:build—build.ymlvocabulary (distros, builders, init-systems)
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