Feature/ollama models - #14
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…ration - Created `.devcontainer/devcontainer.json` for VS Code integration with Ollama models. - Added `docker-compose.yml` for orchestrating Ollama and model services. - Introduced `README.md` with usage instructions and examples for Ollama models. - Implemented `docker-compose.ollama.yml` for a complete Docker Compose setup. - Developed `quick-start-ollama.sh` script for automated setup of Ollama with pre-loaded models. - Added `build-ollama-volume.sh` script to build and publish Ollama model data volume to GHCR.
…nd update documentation
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This pull request introduces a new workflow and supporting documentation for building, publishing, and using a pre-loaded Ollama models data volume container. It adds example configurations and usage patterns for development environments, including Docker Compose and VS Code Dev Containers, and improves documentation for onboarding and troubleshooting.
Ollama Models Volume Workflow and Usage
Workflow automation:
.github/workflows/build-ollama-models.ymlto automate building and publishing a container image with pre-pulled Ollama models, supporting custom model selection and tagging, and integrating security scanning and release summaries.Example configurations:
examples/docker-compose.ollama.ymlandexamples/.devcontainer/docker-compose.ymlfor multi-container setups with Ollama, models data volume, and a development container, including health checks and environment variable support. [1] [2]examples/.devcontainer/devcontainer.jsonfor VS Code Dev Container integration, enabling Ollama API access and AI-assisted coding via the Continue extension.Documentation and onboarding:
examples/README.mdand updated mainREADME.mdto document quick start instructions, usage patterns, troubleshooting, environment-specific examples, and links to main Ollama models volume documentation. [1] [2]These changes provide a standardized, reproducible way to use Ollama models in development and restricted environments, with clear instructions and automation for building and consuming the models data volume.