Users on the r/LocalLLaMA subreddit are seeking methods to control the reasoning effort of Qwen 3.5 and Gemma 4 models. One user is developing an agentic coding platform and needs to adjust model behavior to prioritize speed for quick solutions or thoroughness for complex problems. While Gemma 4's reasoning chain is reportedly manageable via system prompts, Qwen 3.5 presents a more awkward control scenario, leading users to explore alternative models like DeepSeek v4 flash for better controllability. AI
IMPACT Users are exploring methods to fine-tune model behavior for specific tasks, indicating a need for more granular control over LLM reasoning.
RANK_REASON User discussion on controlling specific model parameters.
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