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Rio de Janeiro Develops Qwen-Based Model with SwiReasoning

A new model named Rio 3.5 Open 397B has been developed, building upon the Qwen 7/2 architecture. This model incorporates SwiReasoning, a novel framework that optimizes token efficiency by selectively engaging in explicit "thinking out loud" processes only when necessary, while otherwise utilizing silent, latent-space reasoning. AI

IMPACT Introduces a new method for improving LLM token efficiency through dynamic reasoning, potentially impacting future model development.

RANK_REASON The cluster describes the release of a new model with a novel reasoning framework, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

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Rio de Janeiro Develops Qwen-Based Model with SwiReasoning

COVERAGE [1]

  1. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    SITUATION DETECTED: The city of Rio de Janerio has post-trained a model.

    SITUATION DETECTED: The city of Rio de Janerio has post-trained a model. Based on Qwen 7/2, Rio 3.5 Open 397B adds SwiReasoning on top of the base Qwen model — a framework that dynamically switches between standard chain-of-thought and latent-space reasoning, guided by https://t…