General vs Reasoning [Qwen 3.6]

<!-- 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>In my testing, i have only seen improvements in response on specific “misguided attention” questions for models below 10b.</p> <p>Example: Gemma

<!-- SC_OFF --><div class="md"><p>Guys just I have simple question as I have seen majority of models does well with medium reasoning. Qwen 36 3.5 pull even well with no reasoning

<!-- SC_OFF --><div class="md"><p>In LM Studio the new Qwen 3.5 models (4b 9b 27b 122b) when analyzing large (more than 50k tokens) texts start to output gibberish. It is not a

<!-- 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>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"><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>Hi,</p> <p>[a total newbie on coding asking]</p> <p>Just wanted to clarify when to/when do you use higher reasoning in chat/codex?</p> <p>I've