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

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. the team reports 80.9 on Terminal-Bench 2.1 versus 73.0 for Qwen3.8-27B, using the same harness and inference settings within each benchmark. it does not win everywhere. on SWE-Bench Pro, the reported scores are 60.3 versus 61.7. these are the releasing team's evaluations, not independent replication. one practical detail for reproducing the agent results: the evaluations retain earlier reasoning with preserve_thinking=true. the card recommends that setting for multi-turn tool use, but not general chat. comparing task success and total generated tokens with that setting held fixed would be more useful than treating the headline scores as a deployment ranking. source: https://huggingface.co/Nanbeige/Nanbeige4.3-33B submitted by /u/jatingargiitk [link] [comments]

Source: r/MachineLearning | 2026-10-25