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Nex-AGI releases 397B and 35B parameter models fine-tuned from Qwen

By PulseAugur Editorial · [1 sources] ·

Nex-AGI has released two new language models, Nex-N2 Pro with 397 billion parameters and Nex-N2 Mini with 35 billion parameters. These models are fine-tuned versions of Qwen 3.5 and have demonstrated promising benchmark results. The models are available on Hugging Face for users to explore and implement. AI

IMPACT New open-source models offer alternatives for researchers and developers experimenting with large language models.

RANK_REASON Release of new, fine-tuned language models from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Nex-AGI releases 397B and 35B parameter models fine-tuned from Qwen

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Release of new, fine-tuned language models from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, paper
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High
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117 days old
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COVERAGE [1]

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

    New models released: Nex-N2 Pro 397B and Nex-N2 Mini 35B

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u37ckw/new_models_released_nexn2_pro_397b_and_nexn2_mini/"> <img alt="New models released: Nex-N2 Pro 397B and Nex-N2 Mini 35B" src="https://preview.redd.it/cb53k5st5p6h1.png?width=640&amp;crop=smart&amp;auto…

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