<!-- SC_OFF --><div class="md"><p>Hey all, </p> <p>im having a crisis that i just cant figure... </p> <p>i used Qwen3.6-27B-GGUF:UD-Q8_K_XL ever since it came out (on a DGX SPARK)
<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently
<!-- 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"><blockquote> <p>Wait, I need to be careful about the "no_think" tag in the system prompt. The system prompt says <code>/no_think</code>.
<!-- SC_OFF --><div class="md"><p>I build context/harness optimization tooling, so provider-side serialization quirks actually matter to me. If you're optimizing over prompts, you
<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1wwqtsm/chat_memory_full_i_hardly_had_even_10_messages_is/"> <img alt=""Chat Memory Full" I hardly
<!-- SC_OFF --><div class="md"><p>I'm currently choosing between IQ3_XXS Qwen-3.8-Flash and Q8_0 27B.</p> <p>This month I don't have anything complex enough to justify either's
<!-- SC_OFF --><div class="md"><p>I have been using llama.cpp to run some models recently. For example, I've been running GLM-4.7-Flash with this command <code>.\llama-server.exe
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