Nanbeige4.3-33B ships under Apache 2.0 with a 512K context, aimed at agentic coding

25 Oct 2026

Nanbeige LLM Lab put a dense 33B reasoning model on Hugging Face under Apache 2.0, with a context of about 524K tokens and XML/JSON tool calling. Its model card claims it beats Qwen3.8-27B on most agentic coding and automation tests, but trails on SWE-Bench Pro and GPQA Diamond. No one has independently reproduced the numbers yet.

How to try it

Open BF16 weights on Hugging Face. The model card documents serving with vLLM, using Qwen3-style reasoning and tool-call parsers, which gives you an OpenAI-compatible endpoint.

1. Download Nanbeige/Nanbeige4.3-33B from Hugging Face to a local path
2. Set MODEL_PATH to that directory
3. Run the vllm serve command below (it uses tensor parallel across 4 GPUs)
4. Send OpenAI-compatible chat requests to port 8000. The card recommends temperature 1.0 and top_p 0.95 for agentic work

MODEL_PATH=/path/to/your/Nanbeige4.3-33B
vllm 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

Open the official docs

Source: Read the full story on Hugging Face (Nanbeige LLM Lab)

open-weightsapache-2.0agentic-codinglong-contextnanbeige