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netis-n1-preview
netis-ai/netis-n1-preview
netis-n1-preview is a machine learning model from netis-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Netis N1 is a 32B-parameter model specialized for intelligent IT operations (AIOps), fine-tuned using Continual Pre-training, SFT, and RL.
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At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 5, 2026
- SHA
- e50ee0dd
Base models
Model card
From the Hugging Face model README
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:
# 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
- Type
- qwen2
- License
- apache-2.0
- Languages
- en, zh
- Created
- Mar 4, 2026
- Updated
- Mar 5, 2026