Instructions to use AbteeXAILab/lumynax-nz-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbteeXAILab/lumynax-nz-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AbteeXAILab/lumynax-nz-3b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbteeXAILab/lumynax-nz-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AbteeXAILab/lumynax-nz-3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AbteeXAILab/lumynax-nz-3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AbteeXAILab/lumynax-nz-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AbteeXAILab/lumynax-nz-3b
- SGLang
How to use AbteeXAILab/lumynax-nz-3b 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 "AbteeXAILab/lumynax-nz-3b" \ --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": "AbteeXAILab/lumynax-nz-3b", "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 "AbteeXAILab/lumynax-nz-3b" \ --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": "AbteeXAILab/lumynax-nz-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AbteeXAILab/lumynax-nz-3b with Docker Model Runner:
docker model run hf.co/AbteeXAILab/lumynax-nz-3b
LumynaX NZ 3B V1
Legacy release · Outdated research artifact
This model card documents an early LumynaX experiment. It is no longer maintained, is not recommended for production, and does not represent the current capabilities, architecture, or safety standards of AbteeX AI Labs.
How the model fits
LumynaX Core is the core intelligence model. It governs the inference path, applying sovereignty controls, context, agentic planning, and inference optimisation around execution.
Prompt → LumynaX Core → Native LumynaX model → Response
This is a LumynaX-native release rather than an infused open-source model pack. Its release manifest does not identify external source-model weights.
This release
| Model lineage | LumynaX-native |
| External infused model | Not applicable |
| Runtime | Transformers |
| Release | v1 |
| Status | Outdated and retained for research provenance only |
This native model predates the current LumynaX Core implementation. It is a historical release artifact—not the complete modern LumynaX pipeline.
Archive access
The artifacts remain available for reproducibility. Before evaluation, verify checksums.sha256, inspect release_export_manifest.json, and review LICENSE.txt.
AbteeX AI Labs · Aotearoa New Zealand