---
license: apache-2.0
language:
- en
- zh
base_model: Qwen/Qwen2.5-32B-Instruct
tags:
- aiops
- root-cause-analysis
- openrca
- tool-calling
---

# Netis N1 Preview

Netis N1 is a 32B-parameter model specialized for **intelligent IT operations (AIOps)**, fine-tuned using Continual Pre-training, SFT, and RL.

## Highlights

- **OpenRCA Scoring 26.0%** — on par with Claude Opus 4.5 (26.9%), surpassing GPT Codex (21.0%) and DeepSeek (13.6%)
- General capabilities preserved or improved (GPQA +9.6%, MMLU-Pro +3.3%, IFEval +1.0%)
- Two-stage diagnostic workflow: tool-call planning + fault localization

## Evaluation Results

| Benchmark              |          Netis N1 |
| ---------------------- | ----------------: |
| OpenRCA Bank (scoring) |         **26.0%** |
| MMLU-Pro (300)         |         **67.0%** |
| GPQA Diamond (198)     |         **54.0%** |
| IFEval (100)           | **87.0% / 91.2%** |
| GSM8K (1319)           |             91.4% |

## How to Evaluate

Serve with vLLM and run the eval suite:

```bash
# Start vLLM server
python -m vllm.entrypoints.openai.api_server \
  --model ./netis-n1 --port 6777 --max-model-len 20000

# OpenRCA eval (requires OpenRCA Bank dataset)
python eval_model.py --llm-backend vllm --vllm-base-url http://localhost:6777

# General benchmarks (MMLU-Pro, GPQA, IFEval, GSM8K)
python eval_multi_model.py --name netis-n1 --url http://localhost:6777 --model netis-n1
```

## License

Apache 2.0