claudecodex

charly-ollama

Self-contained skills for running the ollama LLM-server image. Pair with charly-jupyter to expose Ollama models to Jupyter notebooks via the jupyter MCP.

0 on GitHubby opencharlyMITupdated 14 days agoimages
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Plugin charly-ollama from marketplace charly-plugins in opencharly/marketplace. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (3)

  • ollama-cli

    The compiled-in `charly ollama` management CLI for a deployed Ollama server (command:ollama plugin, candy/plugin-ollama). MUST be invoked before managing models (pull/list/ps/rm/show/create/cp/push/run/stop) on a running Ollama deployment from the host.

  • ollama-layer

    Ollama LLM server on port 11434 with model persistence; this candy declares no CUDA dependency, and a backend is composed outside it by opting a box into `ollama-cuda` or `ollama-rocm`. On a tarball distro the upstream archive already bundles CUDA, so the declaration describes what the candy REQUIRE

  • ollama

    Standalone Ollama LLM inference server. This candy DECLARES no GPU dependency — a backend is composed at the box level (`ollama-cuda` / `ollama-rocm`). What that yields differs by install path: on a packaged distro the base is genuinely CPU-only, while on a tarball distro the single upstream archive

View source on GitHub

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