Instructions to use neawolf/Naciro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neawolf/Naciro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="neawolf/Naciro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("neawolf/Naciro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use neawolf/Naciro with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "neawolf/Naciro" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "neawolf/Naciro", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/neawolf/Naciro
- SGLang
How to use neawolf/Naciro with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "neawolf/Naciro" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "neawolf/Naciro", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "neawolf/Naciro" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "neawolf/Naciro", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use neawolf/Naciro with Docker Model Runner:
docker model run hf.co/neawolf/Naciro
NationFiles & Naciro Engine - Scientific Data Samples
This dataset contains a comprehensive collection of machine-readable samples generated by the NationFiles platform and the Naciro AI Engine. These samples are provided for peer-review, methodology validation, and integration testing by data scientists and geopolitical analysts.
π Dataset Purpose
The data represents the output layer of the NationFiles Stability Index (NFSI) and associated geopolitical feeds. It serves as a transparent reference for the data schemas, weighing factors, and temporal resolutions described in the official technical documentation.
π Content Summary
The dataset is organized into two primary categories across more than 30 individual artifacts:
1. Global & Continent Feeds (/json_samples/)
Contains structured snapshots of real-time intelligence feeds, including:
- Stability Time-Series: Global and regional stability scores with 24h/7d deltas.
- Source Node Feeds: Ingestion summaries from global signal providers (ACLED, UCDP, etc.).
- Regional Aggregates: Continent-level indicators for economic and security assessment.
2. Country-Specific Intelligence Snapshots
Detailed snapshots for specific nation-states (e.g., USA hub), encompassing:
- Security Radar Data: Kinetic and non-kinetic risk indicators.
- News Sentiment Metrics: Quantified OSINT signals processed by the Naciro Engine.
- Economic Overviews: High-level indices for purchasing power and governance.
3. Structural Descriptors (/descriptors/)
Each JSON file is accompanied by a Markdown-based descriptor providing:
- Scientific Data Profiles: Description of the representational logic.
- Provenance: Traceability of the specific export endpoint.
- Key-Value Semantics: Explanation of the underlying schema.
ποΈ Identity & Authority Verification
This dataset is an integral part of the verified research ecosystem of the Neawolf Media Group:
- Lead Architect: Sven Schmidt (Q139553554)
- Organization: Neawolf Media Group (Q139474781)
- Engine: Naciro AI (Q139553602)
- Metric: NFSI (Q139553766)
- ORCID: 0009-0002-5010-1902
- DOI (Root Archive): 10.5281/zenodo.19758942
π Official Links
- Primary Source: nationfiles.com
- Methodology Hub: nationfiles.com/en/legal/sources/
- Technical Documentation: GitHub: Naciro-Technical-Documentation
License: CC BY-ND 4.0. Note: This dataset contains sampled information for documentation and research purposes. Live data is subject to 15-minute re-evaluation cycles available on the official platform.