Text Generation
Transformers
geopolitics
risk-analysis
real-time-intelligence
predictive-analytics
nfsi
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
| nf_distribution_schema: "nf-distribution-1.0" | |
| nf_dataset: "NationFiles Knowledge Data (NFKG)" | |
| nf_copyright_holder: "Neawolf Media Group" | |
| nf_copyright_years: "2025–2026" | |
| nf_license_url: "https://nationfiles.com/en/ai-guidelines/" | |
| nf_license_spdx: "LicenseRef-NationFiles-AI-Guidelines" | |
| nf_llms_txt: "https://nationfiles.com/llms.txt" | |
| nf_ai_licensing_email: "ai-questions@nationfiles.com" | |
| nf_repository_relative_path: "knowledge-data/md/data-integration-overview/en.md" | |
| nf_canonical_html_url: "https://nationfiles.com/en/knowledge/entity/data-integration-overview/" | |
| nf_markdown_lang_file: "en" | |
| # Data integration at NationFiles | |
| ## What we mean by it | |
| NationFiles combines many feeds into country pages, maps, and headline figures. **Data integration** here is the **plain-English picture**: what we describe in public, and what we **leave out on purpose**—passwords, internal machine names, long lists of background jobs. That is normal for a live consumer site. The **method pages** and **source registry** carry the deeper detail. | |
| ## Naciro | |
| **Naciro** is the processing core: data is cleaned, joined, and scored along the lines set out for **NFSI** and in the **Validation & Verification Report**. Readers can judge the **results** from the site; they do not need backstage credentials to understand the logic in broad terms. | |
| ## LPU | |
| The **LPU Architecture** page explains why NationFiles uses a **dedicated low-latency inference layer** so busy maps and KPI refreshes stay stable instead of jumping every few seconds. It does **not** publish a data-centre layout or queue-by-queue runbook. | |
| ## Legal notice | |
| NationFiles **legal notices** mention the **LPU** in one sentence about live **forex, crypto, and security** processing. This article does not turn that into a vendor list or an internal budget sheet. | |
| ## If you build on our data | |
| Use the **published schemas**, honour **`built_at_utc`** when an export provides it, and link to **canonical HTTPS** pages. The **legal sources** hub and **AI guidelines** spell out citation and reuse. | |
| ## Useful links | |
| - [Knowledge: Data integration](https://nationfiles.com/en/knowledge/entity/data-integration-overview/) | |
| - [Naciro AI](https://nationfiles.com/en/company/naciro-ai/) | |
| - [NFSI methodology](https://nationfiles.com/en/company/nfsi/) | |
| - [LPU Architecture](https://nationfiles.com/en/knowledge/entity/lpu-architecture/) | |
| - [Legal notice](https://nationfiles.com/en/legal/legal-notice/) | |
| - [Legal sources](https://nationfiles.com/en/legal/sources/) | |
| - [AI guidelines](https://nationfiles.com/en/ai-guidelines/) | |
| - [Knowledge hub](https://nationfiles.com/en/knowledge/) | |