qwen-2.5-coder:1.5b only responding in Python?

<!-- 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"><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>So in response to the Great Token Reconning of 2026, I decided to try out Qwen 3.6 as a daily driver, and although it's only been about a day, I

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sm80ih/qwen_3_coder_next_has_a_bug_help_test/"> <img alt="Qwen 3 Coder Next has a bug! Help Test?"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t45m77/qwen_36_27b_looping_problem/"> <img alt="qwen 3.6 27B looping problem"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1srhtvg/where_we_are_in_a_year_everything_has_changed/"> <img alt="Where we are. In a year, everything has

<!-- SC_OFF --><div class="md"><p>Just swapped Qwen 3.5 for the 3.6 variant (FP8, RTX 6000 Pro) using the same recommended generation settings. My stack is vLLM (v0.19.0) + Open

<!-- SC_OFF --><div class="md"><p>I am basically Korean who started to use local llm. </p> <p>I'm using qwen 3.5 35b-a3b opus distilled version since in vanilla qwen 3.5 35b a3b