Why local models get stuck repeating JSON

<!-- 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>I've been updating the nightlies of llama cpp as they've come out, but for the life of me I can't get gemma 4 31b to stop repeating the same

<!-- 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>Just watched Deepseek go into infinite thinking loop over 2-3 specific tokens..<br /> Is this still a thing for frontier models or was it a

<!-- 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

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat

<!-- 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

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sshjm0/qwen3635b_stuck_in_infinite_loop/"> <img alt="Qwen3.6-35b stuck in infinite loop"