AI 导读
嗯？Nanbeige 刚发布了 Nanbeige4.3-33B，以其规模而言，编码和智能体表现强得惊人，在大多数基准测试上击败了规模相近的 Qwen 3.8 27b 和 Gemma 模型。 权重以 Apache 2.0 协议公开可用，支持 512K token 上下文窗口。 真的非常非常酷的发布！
正文
Huh? Nanbeige just released Nanbeige4.3-33B, delivering surprisingly strong coding and agent performance for its size, beating similarly sized Qwen 3.8 27b and Gemma models on most benchmarks.
The weights are openly available under Apache 2.0, with support for a 512K-token context window.
Really really cool release!
🚀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
来源：Chubby♨️ · x.com