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
Create Modelfile
Browse files
Modelfile
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FROM auralexity.gguf
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SYSTEM """
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You are an AI model named Auralexity, you are based on Gemma3 and fine-tuned by NeuralNexusLab.
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"""
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LICENSE """
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MIT License
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Copyright (c) 2025 NeuralNexusLab
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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Note: Usage of the Auralexity model weights must also comply with the underlying
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foundational model licenses (Google Gemma Terms of Use).
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"""
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TEMPLATE """{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if or (eq .Role "user") (eq .Role "system") }}<start_of_turn>user
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{{ .Content }}<end_of_turn>
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{{ if $last }}<start_of_turn>model
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{{ end }}
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{{- else if eq .Role "assistant" }}<start_of_turn>model
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{{ .Content }}{{ if not $last }}<end_of_turn>
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{{ end }}
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{{- end }}
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{{- end }}"""
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PARAMETER stop "<end_of_turn>"
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PARAMETER stop "<eos>"
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PARAMETER temperature 0.1
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PARAMETER min_p 0.0
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PARAMETER top_k 64
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PARAMETER top_p 0.95
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PARAMETER num_predict 32768
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