Qwen Model Version Comparison

<!-- SC_OFF --><div class="md"><p>With practically all of LocalLlama glazing Qwen 3.5/3.6 for it's coding skills. Along with the fact that Alibaba themselves are focusing on

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/Qwen/Qwen3.6-27B">https://huggingface.co/Qwen/Qwen3.6-27B</a></p> </div><!-- SC_ON --> &#32; submitted by &#32;

<!-- SC_OFF --><div class="md"><p>Have Qwen 3.6 27B and Qwen 3.6 35B basically made most of the older ~30B models irrelevant?</p> <p>They seem to beat stuff like Qwen coder 30B,

<!-- 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>Qwen/Qwen3.6-35B-A3B was released 22 days ago</p> <p>Qwen/Qwen3.6-27B was released 15 days ago</p> <p>Let's predict when we can expect the 9B and

<!-- SC_OFF --><div class="md"><p>Looking for your experiences, your speeds, and your configs. </p> <p>I myself am getting an abysmal 22t/s with the q4, max context, llama.cpp,

<!-- 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 have a 5080 + 64gb of ram. What model would be as intelligent as possible while still running decent enough on my specs?</p> </div><!-- SC_ON