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I’d recommend trying it on Google AI Studio (aistudio.google.com). I am getting exceptional results on a handful of novel problems that require deep domain knowledge and structured reasoning. I’m not able to replicate this performance with Ollama, so I suspect something is a bit off.

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Same experience here: On AI Studio, this is easily one of the strongest models I have used, including when compared to proprietary LLMs.

But ollama and openwebui performance is very bad, even when running the FP16 version. I also tried to mirror some of AI studio settings (temp 1 and top p 0.95) but couldn't get it to produce anything useful.

I suspect there's some bug in the ollama releases (possibly wrong conversation delimiters?). If this is fixed, I will definitely start using Gemma 3 27b as my main model.

Update: Unsloth is recommending a temperature of 0.1, not 1.0, if using Ollama. I don’t know why Ollama would require a 10x lower value, but it definitely helped. I also read some speculation that there might be an issue with the tokenizer.

Maybe model is sensitive to quantization, by default ollama quantize it significantly.

I tried ollama fp16 and it had the same issues.

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