r/ollama rules, stats, and what to post

This community is about Ollama, the tool for running large language models on your own machine. The public description is empty and there are no published rules, so the clearest signal we have is the moderator one-liner, which asks for posts that are relevant to Ollama and helpful to the community. That tells you who posts here: people who run models locally and want practical help with it. Think developers, hobbyists, and teams experimenting with local AI. If your post would make sense to someone typing commands into a terminal to run a model, it probably fits.

With no published rules, quality is your only protection, so aim for posts that a person running models locally would genuinely want to read. A short writeup of a problem you solved with Ollama works well, like how you got a specific model running on modest hardware. A honest comparison of setups or a lesson learned from a failed attempt also fits, because it helps someone avoid the same mistake. If you built something that works with Ollama, share it with the code or steps included and say plainly that you made it. Answer other people's questions before you post your own thing, since being helpful first is what earns you the right to share.

There are no published rules to quote here, so nothing gets removed by a named rule on paper. What can still get you removed or banned is the thing the moderator one-liner warns about: posts that are not relevant to Ollama or not helpful to the community. A link dump with no context, a pitch that never mentions the tool, or anything that treats members as targets rather than people would fail that test. Be helpful and respectful, as the survival tip says, and you stay on the safe side.

This is one of those communities with an empty rules page, which can look like an open door but really just means the moderators judge everything on quality. The one-liner about keeping posts relevant and helpful is doing all the work here, so I would treat it as the whole rulebook. With no top posts to learn from, I would go in quiet, answer a few questions first, and only post my own thing once it genuinely helps someone running models locally.