Downloads · 30 days
0
netis-n1
vadery/netis-n1
netis-n1 is a machine learning model from vadery. 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 from Qwen2.5-32B-Instruct using Continual Pre-training, SFT, and RL.
Access
Public
Updated Mar 4, 2026
Repo size
—
Likes
1
Public
Repo makeup
Click a slice to open those files.
.md1.8 KB · 54%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026
- SHA
- ff7fe1cb
Base models
Model card
From the Hugging Face model README
Netis N1
Netis N1 is a 32B-parameter model specialized for intelligent IT operations (AIOps), fine-tuned from Qwen2.5-32B-Instruct 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 | Base (Qwen2.5-32B) | Netis N1 |
|---|---|---|
| OpenRCA Bank (scoring) | — | 26.0% |
| MMLU-Pro (300) | 63.7% | 67.0% |
| GPQA Diamond (198) | 44.4% | 54.0% |
| IFEval (100) | 86.0% / 90.5% | 87.0% / 91.2% |
| GSM8K (1319) | 91.5% | 91.4% |
| AIME (90) | 16.7% | 11.1% |
| HLE (100) | 2.0% | 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
- License
- apache-2.0
- Languages
- en, zh
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026