Nowait Reasoning 최적화
원문: nowait-reasoning-optimizer
Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize re
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NOWAIT Reasoning Optimizer Implements the NOWAIT technique from the paper "Wait, We Don't Need to 'Wait'! Removing Thinking Tokens Improves Reasoning Efficiency" (Wang et al., 2025). Overview NOWAIT is a training free inference time intervention that suppresses self reflection tokens (e.g., "Wait", "Hmm", "Alternatively") during generation, reducing chain of thought (CoT) trajectory length by 27 51% without compromising model utility. When to Use Deploying R1 style reasoning models with limited compute Reducing inference latency for production systems Optimizing token costs for reasoning tasks Working with verbose CoT outputs that need streamlining Supported Models | Model Series | Type | To…
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