Feasibility of using turboquant with qwen3 tts at concurrency

<!-- SC_OFF --><div class="md"><p>Hello,</p> <p>Anyone knows what are the differences and if they are really doing the job they say? Because i was watching something about

<p>Building a production-ready, fault-tolerant Retrieval-Augmented Generation system is an exercise in managing harsh tradeoffs. You want massive context, lightning-fast hybrid

<!-- SC_OFF --><div class="md"><p>I could not find good data points on what speed one could get with a single 5090 and enough DDR4 RAM. </p> <p>My system: AMD EPYC 7532 32core

<!-- SC_OFF --><div class="md"><p>I'm genuinely unsure if I'm doing something wrong, or if the model is just worse, despite the community enthusiasm. I tend to use it with pi

<!-- 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>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>Reading on the TurboQuant news makes me extremely excited for the future of local llm.</p> <p>When should we be expecting it?</p> <p>What are

<!-- SC_OFF --><div class="md"><p>Long post, but hopefully helps somebody. Llama-cpp vulkan server running single AMD R9700. The settings below are showing great results with a