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Thomas Wolf更新于 10月26日 16:50

BOSS直聘研究团队 Nanbeige 发布开源 33B 模型 Nanbeige4.3-33B

A Chinese job-recruitment app just released an open-weights 33B model that beats Qwen 27B on most agentic benchmarks.

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BOSS直聘旗下研究团队 Nanbeige 发布开源权重模型 Nanbeige4.3-33B,在多数智能体基准上超过 Qwen 27B。该模型在约 30B 参数规模的开源模型中取得 SOTA 智能体表现,在智能体编码与协作基准上结果较强,接入主流智能体框架后可用较低推理成本处理真实任务。它还将作为教师模型用于后续更小的 Nanbeige4.3-3B。

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AI 评分 63

这条内容把中国开源模型来源扩展到招聘平台研究团队,读者可据此观察开源模型供给格局的变化。

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Nanbeige

@nanbeige

🚀 很高兴宣布 Nanbeige4.3-33B! 为了推高小型智能体的性能上限,我们在 Nanbeige4.3 中的策略是先构建一个强大的教师模型。 Nanbeige4.3-33B 在约 30B 参数规模的开源模型中取得了 SOTA 智能体表现: * 在智能体编码与协作基准上结果强劲。 * 接入主流智能体框架后,它能以高性价比的推理处理真实任务。 * 它将作为教师模型用于后续更小的 Nanbeige 模型,首先是 Nanbeige4.3-3B。 https://t.co/tSToQgZf2O https://t.co/D228euvybz #LLM #Agent

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🚀Excited to announce Nanbeige4.3-33B! To push the performance ceiling of small agents, our strategy in Nanbeige4.3 starts with building a powerful teacher first. Nanbeige4.3-33B delivers SOTA agentic performance among open models at ~30B parameters: * Strong results on agentic coding and cowork benchmarks. * When integrated into mainstream agent harnesses, it tackles real-world tasks with cost-efficient inference. * It will serve as a teacher for upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B. https://t.co/tSToQgZf2O https://t.co/D228euvybz #LLM #Agent

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正文

A Chinese job-recruitment app just released an open-weights 33B model that beats Qwen 27B on most agentic benchmarks.

Nanbeige is the research team of BOSS Zhipin (think WhatsApp meets LinkedIn).

Strong open models in China now come from labs, cloud providers, quant funds... and job boards. China's open-weights roster keeps getting deeper.

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Thomas Wolf