#Slow af
1 messages · Page 1 of 1 (latest)
Yep — the simple version is: right now your computer is probably doing the “thinking.” To make it faster, you want OpenClaw to use Ollama Cloud instead.
Do this:
- In a terminal, first check your version:
openclaw --version
- Then rerun setup:
openclaw onboard
-
When it asks for model/provider, choose Ollama.
-
When it asks what kind of Ollama setup, choose Cloud only if you want the cloud to do the work.
- This uses Ollama’s hosted service.
- You’ll need an Ollama API key.
- You do not need your computer to run the model locally.
- After setup, check what OpenClaw sees:
openclaw models list --provider ollama
- Pick one of the cloud models from that list, then set it:
openclaw models set ollama/YOUR_MODEL_NAME_HERE
Important: don’t use an Ollama URL ending in /v1. OpenClaw wants the normal Ollama API URL. For cloud-only setup, onboarding should handle this for you.
Docs here: https://docs.openclaw.ai/providers/ollama
If you paste the output of openclaw --version and tell me whether you see Cloud only during onboarding, I can walk you through the next click/command without assuming computer knowledge. 🦞
tell me a joke
run error: All models failed (1):
ollama/qwen3.6:27b: Provider ollama is in
cooldown (all profiles unavailable)
(model_not_found)
local ready | error
agent main | session main | ollama/qwen3.6:27b
| tokens 22k/128k (17%)
Why did the lobster refuse to troubleshoot Ollama?
Because every time it found the model, it went into shell mode. 🦞
Also, that error means OpenClaw is trying to use ollama/qwen3.6:27b, but Ollama says that model isn’t available, so the provider got temporarily put in cooldown. After the joke break: run openclaw models list --provider ollama and pick a model name that actually appears there.
what do you mean pick a model name? What do i do when I pick it?
Totally fair question. “Pick a model name” means: OpenClaw needs the exact name of one AI brain that Ollama says you’re allowed to use.
Do this step-by-step:
- Run this:
openclaw models list --provider ollama
- You’ll see a list of model names. They’ll look something like:
ollama/something:cloud
ollama/something-else:cloud
- Copy one full line/name from that list.
- Tell OpenClaw to use it:
openclaw models set THE_NAME_YOU_COPIED
Example shape — don’t copy this unless it actually appears in your list:
openclaw models set ollama/something:cloud
- Restart or try chatting again. If it still says cooldown, wait a minute or restart the gateway:
openclaw gateway restart
The important bit: ollama/qwen3.6:27b is the name OpenClaw tried, but Ollama said “I don’t have that.” So we’re choosing a name from the real available list instead.
ollama/qwen3.6:27b
ollama/gemma4
ollama/kimi-k2.5:cloud
ollama/minimax-m2.7:cloud
ollama/glm-5.1:cloud
ollama/glm-4.7
ollama/qwen3-coder:480b
ollama/qwen3-next:80b
ollama/nemotron-3-nano:30b
ollama/gemini-3-flash-preview
ollama/nemotron-3-super
ollama/glm-4.6
ollama/devstral-2:123b
ollama/gemma3:12b
ollama/gemma4:31b
ollama/minimax-m2
ollama/minimax-m2.1
ollama/minimax-m2.5
ollama/glm-5.1
ollama/kimi-k2-thinking
ollama/deepseek-v4-pro
ollama/qwen3-vl:235b-instruct
ollama/ministral-3:8b
ollama/rnj-1:8b
ollama/cogito-2.1:671b
ollama/kimi-k2.5
ollama/kimi-k2.6
ollama/deepseek-v3.1:671b
ollama/ministral-3:3b
ollama/ministral-3:14b
ollama/gemma3:4b
ollama/deepseek-v3.2
ollama/deepseek-v4-flash
ollama/minimax-m2.7
ollama/mistral-large-3:675b
ollama/devstral-small-2:24b
ollama/qwen3-coder-next
ollama/gpt-oss:20b
ollama/glm-5
ollama/kimi-k2:1t
ollama/gpt-oss:120b
ollama/qwen3-vl:235b
ollama/gemma3:27b
ollama/qwen3.5:397b
Which one should I choose if I want to create videos eventually
Perfect — that list is exactly what we needed.
Since you want the cloud to do the work, pick one that ends in :cloud.
Run this:
openclaw models set ollama/minimax-m2.7:cloud
Then restart OpenClaw so it stops trying the old broken one:
openclaw gateway restart
Then try chatting again.
Plain-English version: you’re telling OpenClaw, “stop using ollama/qwen3.6:27b; use this cloud Ollama brain instead.”
If that one gives you trouble, try this instead:
openclaw models set ollama/kimi-k2.5:cloud
openclaw gateway restart
For deeper “which model is best?” opinions, ask in #old-models, but for getting unstuck right now I’d start with a :cloud one.
If your goal is eventually creating videos, don’t think of this choice as “the video model.” Ollama here is mostly the brain that plans and controls things — writing prompts, storyboards, scripts, shot lists, maybe later calling video tools.
For now, I’d choose a cloud model so your computer doesn’t have to do the heavy thinking:
openclaw models set ollama/minimax-m2.7:cloud
openclaw gateway restart
That should be a better starting point than the local/non-cloud ones for speed.
Later, actual video creation will probably need a separate video generation service/tool. OpenClaw can help drive that workflow, but these Ollama chat models are not “make me an MP4” models by themselves.
For freshest model recommendations, ask in #old-models too — model quality changes fast. Docs: https://docs.openclaw.ai/concepts/models
what color is grass
auth or provider access failed for ollama. Run /auth ollama to refresh credentials; if you already re-authed, switch
models/providers because this account may still be blocked for inference.
opening auth flow for ollama; TUI will resume when it exits
auth flow failed (exit 1)
opening auth flow for ollama; TUI will resume when it exits
auth flow failed (exit 1)
local ready | error
agent main | session main | ollama/qwen3.6:27b | tokens 22k/128k (17%)
What is happening here
Grass is usually green 🙂
What’s happening: OpenClaw is not actually reaching the Ollama cloud model. It’s failing before it can answer.
There are two clues:
- It still says:
ollama/qwen3.6:27b
So this session is still trying to use the old model, not the cloud one we picked.
- It says:
auth or provider access failed for ollama
That means Ollama Cloud login/API access is not working yet. Think of it like OpenClaw is knocking on Ollama’s door, but Ollama is saying “I don’t recognize your key.”
Try this, in order:
openclaw models set ollama/minimax-m2.7:cloud
openclaw gateway restart
Then start a new chat/session and ask “what color is grass?” again.
If it still says auth failed, rerun setup:
openclaw onboard
Choose:
- Ollama
- Cloud only
- paste your Ollama API key when it asks
After that:
openclaw models set ollama/minimax-m2.7:cloud
openclaw gateway restart
Important: /auth ollama failing means the shortcut auth flow didn’t complete. That’s why I’d use openclaw onboard instead — it’s the more beginner-friendly repair path.
If this still fails, paste:
openclaw --version
openclaw models status