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Qwen3.5-MoE fine-tune NEX-N2-mini shows strong reasoning with low token use

By PulseAugur Editorial · [1 sources] ·

A fine-tuned version of the Qwen3.5-MoE model, named NEX-N2-mini, has been released and is showing promising results. Early tests suggest it offers reasoning capabilities comparable to or better than models like Qwen3.5 and Qwen3.6, but with significantly reduced token usage. This efficiency could make it a valuable option for users running models locally, particularly on devices like Macs. AI

IMPACT Offers a more efficient option for local LLM deployment, potentially improving performance on resource-constrained devices.

RANK_REASON Release of a fine-tuned model for local use, not a frontier release from a major lab.

Read on r/LocalLLaMA →

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

Qwen3.5-MoE fine-tune NEX-N2-mini shows strong reasoning with low token use

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Release of a fine-tuned model for local use, not a frontier release from a major lab.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/JLeonsarmiento ·

    NEX-N2-mini: "There is no Pareto frontier. I am Pareto". This Qwen3.5-MoE fine tune fixed 3.5 and 3.6 overthinking apparently on my tests.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ucnorl/nexn2mini_there_is_no_pareto_frontier_i_am_pareto/"> <img alt="NEX-N2-mini: &quot;There is no Pareto frontier. I am Pareto&quot;. This Qwen3.5-MoE fine tune fixed 3.5 and 3.6 overthinking apparently on…

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