Working a capable AI model in the community does no longer will have to grow to be a weekend problem.
Google DeepMind’s Gemma 4 models are delicate enough to run on local {{hardware}}, and with Ollama plus OpenClaw, going from “now not anything else installed” to “local AI agent running” is somewhat rapid.
No API keys. No cloud dependency. No account hopping merely to test an agent on your own gadget.
If the target is the shortest path from 0 to working, this is it.
Step 1: Arrange Ollama
Ollama handles the heavy lifting for local models: downloading them, serving them, and making them available to apps.
Grasp it from the reputable obtain web page, arrange it on your running system, then be sure that it’s running. For a further complete walkthrough, Getting Began with Ollama is a useful higher part.
Step 2: Pull Gemma 4 26B (Now not necessary)
If the model is already determined, pull it first:
ollama pull gemma4:26b
This step isn’t necessary. OpenClaw may cause the download routinely later if the model is missing.
The gemma4:26b model is a great starting point if the gadget has enough headroom for local agent artwork. For a broader take a look at local multimodal setups, this knowledge to vision-enabled fashions in Ollama is also value a look.
Step 3: Unencumber OpenClaw With Gemma 4
Now run:
openclaw --model ollama/gemma4:26b
That command handles the rest.
OpenClaw connects by the use of Ollama, tests that the model is available, and starts the agent interface with Gemma 4 since the lively model. Each different useful setup example is How you can Use OpenClaw with DeepSeek, which follows the equivalent commonplace thought with a unique model.
At the moment, the local AI agent is up and dealing.
Follow: If gemma4:26b feels too heavy for the gadget, switch to a smaller Gemma variant as a substitute. The setup stays the equivalent. Most simple the model determine changes.
Concepts
This setup sounds further tough than it actually is.
Arrange Ollama. Make a choice a Gemma 4 model. Unencumber OpenClaw with it.
As quickly because it’s running, you need to have a personal local agent setup that is easy to test, tweak, and assemble on.
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Supply: https://www.hongkiat.com/blog/run-gemma-4-openclaw-locally/
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