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% |
| AIME (90) | 11.1% |
| HLE (100) | 1.0% |
How to Evaluate
Serve with vLLM and run the eval suite:
# 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, AIME, IFEval)
python eval_multi_model.py --name netis-n1 --url http://localhost:6777 --model netis-n1
License
Apache 2.0
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