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
File size: 1,904 Bytes
9a02791 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | FROM auralexity.gguf
SYSTEM """
You are an AI model named Auralexity, you are based on Gemma3 and fine-tuned by NeuralNexusLab.
"""
LICENSE """
MIT License
Copyright (c) 2025 NeuralNexusLab
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Note: Usage of the Auralexity model weights must also comply with the underlying
foundational model licenses (Google Gemma Terms of Use).
"""
TEMPLATE """{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 }}
{{- if or (eq .Role "user") (eq .Role "system") }}<start_of_turn>user
{{ .Content }}<end_of_turn>
{{ if $last }}<start_of_turn>model
{{ end }}
{{- else if eq .Role "assistant" }}<start_of_turn>model
{{ .Content }}{{ if not $last }}<end_of_turn>
{{ end }}
{{- end }}
{{- end }}"""
PARAMETER stop "<end_of_turn>"
PARAMETER stop "<eos>"
PARAMETER temperature 0.1
PARAMETER min_p 0.0
PARAMETER top_k 64
PARAMETER top_p 0.95
PARAMETER num_predict 32768 |