<!-- SC_OFF --><div class="md"><p>So i thought this is a small model issue but when i added a new gpu and i am able to run low mid model like Qwen 3.6 35b q4 or q5 this issue
<!-- 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>Hey, I don't know if this is a llama.cpp issue or an Unsloth thing, but for whatever reason Mistral Medium 128B at Q4_K_XL seems to go in loops
<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.
<!-- SC_OFF --><div class="md"><p>How do you guys deal with long context, for example while coding, when you’re going back and forth for adjustments or fixing some errors and
<!-- SC_OFF --><div class="md"><p>I need SOTA ai at like 2k TPS with tiny latency so that I can get time to first answer token under 3 seconds for real time replies with full COT
<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"
<!-- SC_OFF --><div class="md"><p>Originally wrote Qwen3-VL-30B off as too slow for document extraction. Running it on a 5090 showed that it was actually stuck repeating the same
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