SGLang
MODEL_PATH=/path/to/your/Nanbeige4.3-33B-INT8python -m sglang.launch_server \ --model-path ${MODEL_PATH} \ --host 0.0.0.0 \ --port 8000 \ --tp-size 4 \ --mem-fraction-static 0.8 \ --reasoning-parser qwen3 \ --tool-call-parser qwen3_coder
vLLM
MODEL_PATH=/path/to/your/Nanbeige4.3-33B-INT8vllm serve ${MODEL_PATH} \ --host 0.0.0.0 \ --port 8000 \ --tensor-parallel-size 4 \ --gpu-memory-utilization 0.8 \ --enable-auto-tool-choice \ --reasoning-parser qwen3 \ --tool-call-parser qwen3_coder
If you have any questions, please open an issue in this repository or contact us at nanbeige@kanzhun.com.
We also welcome collaborations to build domain-specific and industry-focused agents, including joint work on data and training.
5. Citation
If you find our model useful or would like to use it in your own work, please cite this Hugging Face project:
@misc{nanbeige43int82026, title = {Nanbeige4.3-33B-INT8}, author = {Nanbeige Team}, year = {2026}, publisher = {Hugging Face}, howpublished = {\url{https://huggingface.co/Nanbeige/Nanbeige4.3-33B-INT8}}}