Note the new recommended sampling parameters for Qwen3.6 27B

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qwen3-6 sampling-params huggingface llm

Summary

Qwen team updated recommended temperature, top_p and presence_penalty values for their new 27B model to optimize both thinking and instruct modes.

Taken from their [Huggingface Page:](https://huggingface.co/Qwen/Qwen3.6-27B) *We recommend using the following set of sampling parameters for generation* Thinking mode for general tasks: temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0 Thinking mode for precise coding tasks (e.g. WebDev): temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0 Instruct (or non-thinking) mode: temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0 These are different from 3.5 so I thought I would draw your attention to them.
Original Article

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