Do you have any best practices for when to have reasoning on versus off?

<!-- SC_OFF --><div class="md"><p>not a course. not a youtube series. not a reddit thread.</p> <p>i just asked directly:</p> <p>&quot;if you were going to teach someone prompt

<!-- SC_OFF --><div class="md"><p>Even the trick of editing the reply with the tag &lt;think&gt; or &lt;|think|&gt; doesn't do anything for me. On some models I used to be able to

<!-- SC_OFF --><div class="md"><p>I want to play with Qwen 3.6. <em>Unsloth</em> shows 4 different parameter options for different use-cases. I'm confused about the difference

<!-- SC_OFF --><div class="md"><p>I run the same model: `google_gemma-4-E2B-it-IQ3_M.gguf` with lmstudio or llama-server</p> <p>and I connect thru `/v1/chat/completions` EP.</p>

<!-- SC_OFF --><div class="md"><blockquote> <p>Wait, I need to be careful about the &quot;no_think&quot; tag in the system prompt. The system prompt says <code>/no_think</code>.

<!-- SC_OFF --><div class="md"><p>I've become quite happy with Gemma 12b QAT as a general assistant lately.<br /> It is small enough to run on my PC while still leave plenty of

<!-- SC_OFF --><div class="md"><p>First, the models are strictly censored during the reasoning process. I remember seeing a document when OpenAI released a new model (I don't

<!-- SC_OFF --><div class="md"><p>I tested 10 common prompt engineering techniques against a structured JSON format across identical tasks (marketing plans, code debugging, legal