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.
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
Categories
More Items
Runs local conversational and agent-style assistants with improved multi-turn tool use and instruction following. Its Q4_K_M release targets roughly 4GB workloads and supports up to a 64K-token context.
Provides GGUF-format weights for local inference with a compact model aimed at on-device tasks. Its adjustable thinking levels let applications trade reasoning depth for latency and compute.
Generates and edits images from structured prompts, aiming to preserve details you did not ask to change. Supports masked edits and multiple reference images; the weights are for non-commercial use, with commercial use requiring a separate agreement.