A user on Reddit's r/LocalLLaMA subreddit has observed a significant difference in the reasoning capabilities of the Qwen3.8-27B model when adjusting the "reasoning_effort" parameter in llama.cpp. Setting this parameter to "medium" resulted in minimal token generation, whereas "xhigh" led to a dramatic increase, with some prompts reaching up to 40,000 tokens. The user is seeking confirmation on whether this behavior is expected or indicative of a potential issue. AI
IMPACT Highlights potential for fine-tuning model output through parameter adjustments, impacting user experience and resource utilization.
RANK_REASON User observation and discussion about model behavior, not a primary release or research finding.
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