Qwen3.5 Users Trade Sampler Presets by Task

The real story here is that Qwen3.5 is strong enough to create a new tuning problem: people are now optimizing behavior, not just benchmark quality.

• –The posted preset is already fairly constrained, but the long reasoning budget and high presence penalty still leave the model feeling overly deliberate for casual chat
• –Commenters are converging on separate presets by task, with lower-temp setups for coding and different sampler mixes for creative chat or general reasoning
• –Qwen’s own recommendations are becoming the baseline, but local users are quickly diverging based on quant, engine, and workload
• –llama.cpp plus GGUF remains the practical local stack, which makes sampler tuning almost as important as the model weights themselves
• –This is a healthy sign for open weights: the debate has moved from “does it work?” to “how do we make it behave?”