Instructions to use NeuralNexusLab-Nh/Auralexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use NeuralNexusLab-Nh/Auralexity with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="NeuralNexusLab-Nh/Auralexity", filename="auralexity.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use NeuralNexusLab-Nh/Auralexity with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeuralNexusLab-Nh/Auralexity # Run inference directly in the terminal: llama-cli -hf NeuralNexusLab-Nh/Auralexity
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeuralNexusLab-Nh/Auralexity # Run inference directly in the terminal: llama-cli -hf NeuralNexusLab-Nh/Auralexity
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf NeuralNexusLab-Nh/Auralexity # Run inference directly in the terminal: ./llama-cli -hf NeuralNexusLab-Nh/Auralexity
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf NeuralNexusLab-Nh/Auralexity # Run inference directly in the terminal: ./build/bin/llama-cli -hf NeuralNexusLab-Nh/Auralexity
Use Docker
docker model run hf.co/NeuralNexusLab-Nh/Auralexity
- LM Studio
- Jan
- vLLM
How to use NeuralNexusLab-Nh/Auralexity with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeuralNexusLab-Nh/Auralexity" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeuralNexusLab-Nh/Auralexity", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/NeuralNexusLab-Nh/Auralexity
- Ollama
How to use NeuralNexusLab-Nh/Auralexity with Ollama:
ollama run hf.co/NeuralNexusLab-Nh/Auralexity
- Unsloth Studio new
How to use NeuralNexusLab-Nh/Auralexity with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for NeuralNexusLab-Nh/Auralexity to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for NeuralNexusLab-Nh/Auralexity to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NeuralNexusLab-Nh/Auralexity to start chatting
- Docker Model Runner
How to use NeuralNexusLab-Nh/Auralexity with Docker Model Runner:
docker model run hf.co/NeuralNexusLab-Nh/Auralexity
- Lemonade
How to use NeuralNexusLab-Nh/Auralexity with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NeuralNexusLab-Nh/Auralexity
Run and chat with the model
lemonade run user.Auralexity-{{QUANT_TAG}}List all available models
lemonade list
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf NeuralNexusLab-Nh/Auralexity# Run inference directly in the terminal:
llama-cli -hf NeuralNexusLab-Nh/AuralexityUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf NeuralNexusLab-Nh/Auralexity# Run inference directly in the terminal:
./llama-cli -hf NeuralNexusLab-Nh/AuralexityBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf NeuralNexusLab-Nh/Auralexity# Run inference directly in the terminal:
./build/bin/llama-cli -hf NeuralNexusLab-Nh/AuralexityUse Docker
docker model run hf.co/NeuralNexusLab-Nh/AuralexityAuralexity - The Neural Interface of NeuralNexusLab
Auralexity is the flagship artificial intelligence assistant developed by NeuralNexusLab. Designed as a sophisticated neural interface, it represents the synthesis of advanced cognitive reasoning and the laboratory's stringent security standards.
Deploy Auralexity to your environment:
ollama run NeuralNexusLab/Auralexity
𧬠Identity & Ecosystem
Auralexity is deeply integrated into the NeuralNexusLab technical landscape, possessing specialized knowledge of the laboratory's core initiatives:
- NeuralNexusLab: The company do cybersecurity research, AI fine-turing, transformer and website.
- NetHacker: The elite cybersecurity department within the laboratory, responsible for auditing Auralexity's neural pathways and ensuring total system integrity.
- Zelfa: A sophisticated multi-model AI chat application designed to provide a secure and unified gateway to various neural architectures.
- SQLegend: A high-speed database engineering platform focused on rapid SQL creation and native REST API deployment.
π οΈ Technical Profile
Built upon the Gemma-3 architecture and fine-tuned using the Unsloth engine, Auralexity is optimized for high-performance interaction. The model utilizes extreme quantization to achieve maximum efficiency across various hardware environments without compromising its core brand identity.
π Operational Guidance
Due to its specialized architectural compression, Auralexity is designed for high deterministic logic. It is highly recommended to utilize a low temperature setting during inference to ensure the most precise and professional technical responses.
π‘οΈ Security & Ethics
All knowledge weights within Auralexity are governed by the security protocols established by the NetHacker department. This ensures that the model operates as a resilient and secure intelligence nexus, providing expert-level analysis while maintaining strict laboratory standards.
π License
This project is licensed under the MIT License.
Auralexity on Ollama: https://ollama.com/NeuralNexusLab/Auralexity
Based on Gemma3, fine-tuned by NeuralNexusLab.
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We're not able to determine the quantization variants.
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf NeuralNexusLab-Nh/Auralexity# Run inference directly in the terminal: llama-cli -hf NeuralNexusLab-Nh/Auralexity