| On the subject of installing Ollama, I found it to be a frustrating and user-hostile experience. I instead recommend the much more user-friendly LLM[0] by Simon Willison. Among the problems with Ollama include: * Ollama silently adds a login item with no way to opt out: <https://github.com/jmorganca/ollama/issues/162> * Ollama spawns at least four processes, some persistently in the background: 1 x Ollama application, 1 x `ollama` server component, 2 x Ollama Helper * Ollama provides no information at install time about what directories will be created or where models will be downloaded. * Ollama prompts users to install the `ollama` CLI tool, with admin access required, with no way to cancel, and with no way to even quit the application at that point. Ollama provides no clarity that about what is actually happening during this step: all it is doing is symlinking `/Applications/Ollama.app/Contents/Resources/ollama` to `/usr/local/bin/` The worst part is that not only is none of this explained at install time, but the project README doesn’t tell you any of this information either. Potential users deserve to know what will happen on first launch, but when a PR arrived to at least provide that clarification in the README, Ollama maintainers summarily closed that PR and still have not rectified the aforementioned UX problems. As an open source maintainer myself, I understand and appreciate that Ollama developers volunteer their time and energy into the project, and they can run it as they see fit. So I intend no disrespect. But these problems, and a seeming unwillingness to prioritize their resolution, caused me to delete Ollama from my system entirely. As I said above, I think LLM[0] by Simon Willison is an excellent and user-friendly alternative. [0]: https://llm.datasette.io/ |