Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts
We present Nanbeige4.1-3B, a unified generalist language model that simultaneously achieves strong agentic behavior, code generation, and general reasoning with only 3B parameters. To the best of our knowledge, it is the first open-source small language model (SLM) to achieve such versatility in a single model. To improve reasoning and preference alignment, we combine point-wise and pair-wise reward modeling, ensuring high-quality, human-aligned responses. For code generation, we design complexity-aware rewards in Reinforcement Learning, optimizing both correctness and efficiency. In deep search, we perform complex data synthesis and incorporate turn-level supervision during training. Thi...
| Authors | Chen Yang, Guangyue Peng, Jiaying Zhu et al. |
|---|---|
| Primary category | cs.AI |
| Published | 13 February 2026 |
| Last updated at source | 13 February 2026 |
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