English(EN) Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]

Nanbeige发布开源教师模型Nanbeige4.3-33B

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-25 16:32

Nanbeige发布了Nanbeige4.3-33B，这是一款开源模型，旨在作为小型智能体模型的教师。该模型拥有512K的上下文窗口，在Terminal-Bench 2.1上得分80.9，优于Qwen3.8-27B。然而，它并未在所有基准测试中都取得最高分，在SWE-Bench Pro上的得分仅为60.3，而Qwen3.8-27B的得分为61.7。 AI

影响为开发小型智能体提供了一个开源教师模型，可能降低智能体开发的门槛。

排序理由来自非前沿实验室的开源模型发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/MachineLearning 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 来自非前沿实验室的开源模型发布。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; 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.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

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r/MachineLearning TIER_1 English(EN) · /u/jatingargiitk · 2026-10-25 16:32

Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]

<div class="md"><p>Nanbeige released Nanbeige4.3-33B as the teacher for its planned smaller agents, including an upcoming 3B model. the weights are Apache 2.0, and the model card lists a 512K context window.</p> <p>the team reports 80.9 on Terminal-Bench 2.1 versus…

本文如何被排名

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Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]

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