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docs(ollama): align onboarding guidance with code

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Peter Steinberger
2026-03-11 20:08:45 +00:00
parent e65011dc29
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4 changed files with 67 additions and 26 deletions
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docs/help/faq.md
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@@ -2084,8 +2084,21 @@ More context: [Models](/concepts/models).
### Can I use selfhosted models llamacpp vLLM Ollama
Yes. If your local server exposes an OpenAI-compatible API, you can point a
custom provider at it. Ollama is supported directly and is the easiest path.
Yes. Ollama is the easiest path for local models.
Quickest setup:
1. Install Ollama from `https://ollama.com/download`
2. Pull a local model such as `ollama pull glm-4.7-flash`
3. If you want Ollama Cloud too, run `ollama signin`
4. Run `openclaw onboard` and choose `Ollama`
5. Pick `Local` or `Cloud + Local`
Notes:
- `Cloud + Local` gives you Ollama Cloud models plus your local Ollama models
- cloud models such as `kimi-k2.5:cloud` do not need a local pull
- for manual switching, use `openclaw models list` and `openclaw models set ollama/<model>`
Security note: smaller or heavily quantized models are more vulnerable to prompt
injection. We strongly recommend **large models** for any bot that can use tools.