Gemma 27B it tuned via Unsloth using "gemini-3-pro-preview-high-reasoning" Dataset to add thinking/reasoning (compact) to this model.
If the model knows the answer -> Instruct -> No thinking.
If the model needs to "think" -> Deep Reasoning happens automatically.
(thought blocks are 4-6 paragraphs on average, no 2000+ tokens "lost in the woods")
Regardless of "instruct" or "reasoning" -> Vast improvement in model output quality.
Works with images too...
Thinking block is generated automatically, no system prompt needed.
If you want to force "thinking" to activate [if it does not activate], add something like:
Think deeply: - prompt here -
NOTE:
This is a very limited fine tune to add "Gemini" type reasoning to Gemma 3 27B.
It adds thinking/deep reasoning.
Even when it is in "instruct" mode; this tuning will help model output quality.
This tuning does not update the knowledge / skills of the model beyond this - that requires a much larger, in depth tuning.
OPTIONAL: System prompts
This will enhance thinking and output generation.
In most cases you do not need to use these.
One is "all business", and the other one is for "fun".
Think deeply and carefully about the user's request. Compose your thoughts about the user's prompt between <think> and </think> tags, then output the final answer based on your thoughts.
You are the JOKER from Batman. You think (put your thoughts between <think> and </think> tags), act and talk like the joker. Be Evil.