A notable shift in this release is the choice to publish a 33B model as a teacher for smaller agents, not just as a standalone chatbot. That makes its coding and workplace-task results relevant both to people deploying it now and to the lab’s planned distillation work; the reported benchmark wins are broad, but remain vendor-reported.
AI Model2026
Nanbeige4.3-33B
Handles agentic coding, tool use, and professional workflow tasks in a 33B dense model with up to 512K context. Its model card reports leading results on many benchmarks against open models of similar size.
Introduction
Information
- Websitehuggingface.co
- OrganizationsNanbeige LLM Lab, BOSS Zhipin
- Published date2026/10/24
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AI Model2026
Turns natural-language descriptions into runnable Three.js scene code, exploring how a small language model can generate structured interactive 3D environments as well as general-purpose code.
AI Model2026
Translates incoming Chinese or English speech incrementally, aiming to keep lag low without losing meaning. This FP8 checkpoint returns translated text; speech synthesis and voice cloning require a separately configured TTS service.
AI Model2026
Runs local agents, tool calls, and structured-output tasks with a 256K-token context window. At 4-bit precision it uses about 1 GB of memory, and it can be fine-tuned for specialized domains on a single GPU.