The article has a few good tips for using Ollama. Perhaps it should note that the Gemma 4 models are not really trained for strong performance with coding agents like OpenCode, Claude Code, pi, etc. The Gemma 4 models are excellent for applications requiring tool use, data extraction to JSON, etc. I asked Gemini Pro about this earlier and Gemini Pro recommended qwen 3.5 models specifically for coding, and backed that up with interesting material on training. This makes sense, and is something that I do: use strong models to build effective applications using small efficient models.
> I asked Gemini Pro about this earlier and Gemini Pro recommended qwen 3.5 models specifically for coding, and backed that up with interesting material on training.
The Gemma models were literally released yesterday. You can’t ask LLMs for advice on these topics and get accurate information.
Please don’t repeat LLM-sourced answers as canonical information
It's not just LLM sourced though, folks have literally tried this after the release with the 26A4B model and it wasn't very good. Maybe the dense ~31B model is worthwhile though.
I agree with your criticism. I should have simply said that I had good results with gemma 4 tool use, and agentic coding with gemma 4 didn’t yet work well for me.
I spent two hours doing my own research before asking for Gemini’s analysis, which reinforced my own opinion that the gemini models historically have not been trained and target for agentic coding use.
Have you tried using the new Gemma 4 models with agentic coding tools?If you do, you might end up agreeing with me.
I wasn’t very clear, sorry. By my ‘own research’ I meant spending 90 minutes experimenting with Gemma 4 models for tool use (good results!) and a half hour using with pi and OpenCode (I didn’t get good results, yet.)
Oh yeah absolute genius. I asked GPT-2 about Claude Opus 4.6 and it said “this is not a recommendation. You might get some benefits from Opus… but this is not what you want”. Damn, real wisdom from the OG there. What a legend
