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Users seek control over Qwen 3.5 and Gemma 4 reasoning efforts

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.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Users seek control over Qwen 3.5 and Gemma 4 reasoning efforts

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Time-Toe-1276 ·

    How can i limit reasoning effort on the qwen3.5 and gemma4 models?

    <!-- SC_OFF --><div class="md"><p>So, umhh, I am working on an agentic coding platform, and I need to make qwen3.5 and gemma4 models out of controlled reasoning chains.</p> <p>For example, at low, the model should prioritize finding the quickest solution and prioritize speed, and…