🚨 AI News | TestingCatalog· @testingcatalog · X·· 2 小时前精选AI 评分67
AI 导读
Nanbeige 发布 Nanbeige4.3-33B，称其在约 30B 参数的开源模型中达到 SOTA 智能体表现，在多数基准上超过 Qwen3.8-27B、Muse-Glimmer-30B 和 Gemma4-31B。该模型在智能体编码与 cowork 任务上表现较强，接入主流 agent harness 后可用较低推理成本处理真实任务，模型权重已在 Hugging Face 发布。官方还计划推出更小的 Nanbeige4.3-3B，并将 33B 版本作为其教师模型。
推荐理由
原文列出该模型在多项智能体与编码基准上的对比数据，可据此判断约 30B 参数开源模型的当前水平。
正文 · 原文
Nanbeige released Nanbeige4.3-33B, a new SOTA open model in the ~30B parameter class.
"Nanbeige4.3-33B leads on most of the benchmarks, showing strong performance in both agentic coding and cowork tasks."
The model outperforms Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B on most benchmarks.
A smaller model, Nanbeige4.3-3B, is also planned for the future.
🚀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://huggingface.co/Nanbeige/Nanbeige4.3-33B https://huggingface.co/Nanbeige/Nanbeige4.3-33B-Base #LLM #Agent在 X 查看被引用的帖子
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