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 Settings
- 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
| { | |
| "copyright": "Copyright (c) NationFiles / Neawolf Media Group. This file contains sampled public export data for documentation purposes.", | |
| "source_url": "https://nationfiles.com/en/?export=json&chart=world_index_30d", | |
| "meta": { | |
| "record_type": "scientific_peer_review_sample", | |
| "title": "NationFiles JSON Export Sample - /en/", | |
| "abstract": "Machine-readable sample dataset prepared for peer review, reproducibility checks, and publication supplements. The sample mirrors the live JSON export structure while remaining intentionally lightweight.", | |
| "language": "en", | |
| "created_at_utc": "2026-04-27T12:44:52Z", | |
| "version": "1.0.0", | |
| "context_scope": "global", | |
| "source_domain": "nationfiles.com", | |
| "source_path": "/en/", | |
| "source_query": "export=json&chart=world_index_30d", | |
| "payload_type": "object", | |
| "top_level_count": 1, | |
| "sampling_strategy": "single-endpoint snapshot without pagination", | |
| "quality_note": "Sample is generated from a live export endpoint; values may change over time. Schema shape is the primary stable reference for review.", | |
| "methodology": { | |
| "collection_method": "automated HTTP GET from public endpoint", | |
| "pagination_applied": false, | |
| "truncation_policy": "sample_data truncated to first 10 list/items and bounded object depth", | |
| "normalization": "URL-derived filename with non-alphanumeric characters replaced by underscore" | |
| }, | |
| "provenance": { | |
| "primary_source": "nationfiles.com public JSON export endpoint", | |
| "source_url": "https://nationfiles.com/en/?export=json&chart=world_index_30d", | |
| "generated_by": "download/dataset/generate_json_export_samples.py" | |
| }, | |
| "license": { | |
| "rights_holder": "NationFiles / Neawolf Media Group", | |
| "usage_note": "For documentation, peer review, and publication supplements; verify reuse terms with publisher/rights holder.", | |
| "copyright_statement": "Copyright (c) NationFiles / Neawolf Media Group." | |
| }, | |
| "citation": { | |
| "recommended": "NationFiles JSON Export Sample (accessed via source_url, generated_at_utc).", | |
| "citation_format": "Author/Organization. Title. Version. Source URL. Access date." | |
| }, | |
| "scientific_alignment": { | |
| "principles": [ | |
| "FAIR-supportive metadata", | |
| "reproducibility-oriented sampling", | |
| "transparent provenance" | |
| ], | |
| "standards": [ | |
| "Dublin Core (conceptual alignment)", | |
| "DataCite citation elements (conceptual alignment)", | |
| "JSON data package style metadata (practical alignment)" | |
| ], | |
| "peer_review_focus": [ | |
| "dataset context", | |
| "key semantics", | |
| "data provenance", | |
| "sampling constraints" | |
| ] | |
| }, | |
| "integrity": { | |
| "checksum_sha256_sample_data": "not_computed", | |
| "verification_note": "Add cryptographic checksum in publication pipeline if required." | |
| } | |
| }, | |
| "description": { | |
| "text": "This endpoint provides global export data used in high-level NationFiles dashboards. The sampled payload was fetched from path '/en/' with query 'export=json&chart=world_index_30d'. The payload type is object with 1 top-level entries. This sample is intentionally truncated (no pagination) to provide a stable, lightweight download artifact for documentation, QA checks, and integration previews. Representative key paths include: world_index_30d, world_index_30d.labels, world_index_30d.labels[], world_index_30d.values, world_index_30d.values[].", | |
| "keydata": { | |
| "world_index_30d": "Calculated score/index value." | |
| }, | |
| "keyvalue": { | |
| "world_index_30d": "Calculated score/index value.", | |
| "world_index_30d.labels": "Array/list of related values.", | |
| "world_index_30d.labels[]": "Array/list of related values.", | |
| "world_index_30d.values": "Primary metric value.", | |
| "world_index_30d.values[]": "Primary metric value." | |
| } | |
| }, | |
| "sample_data": { | |
| "world_index_30d": { | |
| "labels": [ | |
| "2026-03-28", | |
| "2026-03-29", | |
| "2026-03-30", | |
| "2026-03-31", | |
| "2026-04-01", | |
| "2026-04-02", | |
| "2026-04-03", | |
| "2026-04-04", | |
| "2026-04-05", | |
| "2026-04-06" | |
| ], | |
| "values": [ | |
| 49.93, | |
| 50.28, | |
| 50.71, | |
| 50.99, | |
| 50.6, | |
| 50.42, | |
| 50.04, | |
| 49.83, | |
| 50.63, | |
| 49.91 | |
| ] | |
| } | |
| }, | |
| "generated_at_utc": "2026-04-27T12:44:52Z" | |
| } |