Instructions to use Brunobkr/VOIDDER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Brunobkr/VOIDDER with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Brunobkr/VOIDDER", filename="VӨIDDΣЯ.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Brunobkr/VOIDDER with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Brunobkr/VOIDDER:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Brunobkr/VOIDDER:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Brunobkr/VOIDDER:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Brunobkr/VOIDDER:Q4_K_M
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 Brunobkr/VOIDDER:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Brunobkr/VOIDDER:Q4_K_M
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 Brunobkr/VOIDDER:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Brunobkr/VOIDDER:Q4_K_M
Use Docker
docker model run hf.co/Brunobkr/VOIDDER:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Brunobkr/VOIDDER with Ollama:
ollama run hf.co/Brunobkr/VOIDDER:Q4_K_M
- Unsloth Studio
How to use Brunobkr/VOIDDER 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 Brunobkr/VOIDDER 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 Brunobkr/VOIDDER to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Brunobkr/VOIDDER to start chatting
- Pi
How to use Brunobkr/VOIDDER with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Brunobkr/VOIDDER:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Brunobkr/VOIDDER:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Brunobkr/VOIDDER with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Brunobkr/VOIDDER:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Brunobkr/VOIDDER:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use Brunobkr/VOIDDER with Docker Model Runner:
docker model run hf.co/Brunobkr/VOIDDER:Q4_K_M
- Lemonade
How to use Brunobkr/VOIDDER with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Brunobkr/VOIDDER:Q4_K_M
Run and chat with the model
lemonade run user.VOIDDER-Q4_K_M
List all available models
lemonade list
Update README.md
Browse files\documentclass{article}
\usepackage{amsmath, amssymb, amsfonts}
\begin{document}
%------------------------------------
% Artigo Avançado: Fn Helicoidal, Fourier e Função Zeta
%------------------------------------
\section*{1. Função Helicoidal dos Primos}
Seja $p_n$ o $n$-ésimo número primo. Definimos a função helicoidal dos primos:
\begin{equation}
F_h(n) = r_n e^{i \theta_n}, \quad r_n = \sin^2(\theta_n), \quad \theta_n = 2 \pi \phi p_n
\end{equation}
em coordenadas cartesianas:
\begin{align}
x_n &= r_n \cos(\theta_n), \quad
y_n = r_n \sin(\theta_n), \quad
z_n = p_n
\end{align}
onde $\phi = \frac{1 + \sqrt{5}}{2}$ é a proporção áurea, garantindo irracionalidade máxima.
\section*{2. Parametrização Logarítmica e Linha Crítica}
Para aproximar a escala natural dos primos:
\begin{equation}
\theta_n = 2 \pi \ln(p_n), \quad r_n = \sin^2(\theta_n)
\end{equation}
\begin{equation}
(x_n, y_n, z_n) = (r_n \cos \theta_n, r_n \sin \theta_n, p_n)
\end{equation}
A linha crítica de Riemann é definida por $s = \frac{1}{2} + i t$, aproximando $t \approx p_n$.
\section*{3. Função Zeta de Riemann e Produto Euleriano}
\begin{equation}
\zeta(s) = \sum_{n=1}^{\infty} \frac{1}{n^s} = \prod_{p \in \mathbb{P}} \frac{1}{1 - p^{-s}}, \quad \Re(s) > 1
\end{equation}
No domínio crítico:
\begin{equation}
\zeta\Big(\frac{1}{2} + i p_n \Big) = \Re \zeta\Big(\frac{1}{2} + i p_n \Big) + i \Im \zeta\Big(\frac{1}{2} + i p_n \Big)
\end{equation}
\section*{4. Transformada Fourier Helicoidal}
Definimos a transformada helicoidal discreta sobre a sequência de primos $F_h(n)$:
\begin{equation}
\mathcal{F}[F_h](k) = \sum_{n=1}^{N} F_h(n) \, e^{-2\pi i k n / N}, \quad k = 0, 1, \dots, N-1
\end{equation}
Esta transformação revela frequências dominantes, alinhamentos e ressonâncias moduladas pela hélice.
\section*{5. Ressonância Modular}
Operador de reforço modular:
\begin{equation}
\delta_m(p_n) =
\begin{cases}
1, & p_n \equiv 0 \ (\mathrm{mod}\ m) \\
0, & \text{caso contrário}
\end{cases}
\end{equation}
\begin{equation}
F_h^{(m)}(n) = \delta_m(p_n) \, F_h(n)
\end{equation}
\section*{6. Combinação Helicoidal-Zeta}
\begin{equation}
\mathbf{H}_n^{(m)} = F_h^{(m)}(n) \oplus \zeta\Big(\frac{1}{2} + i p_n\Big)
\end{equation}
\begin{equation}
\mathbf{H}_n^{(m)} = \delta_m(p_n) \big( r_n \cos \theta_n, r_n \sin \theta_n, p_n \big) \oplus \zeta\Big(\frac{1}{2} + i p_n\Big)
\end{equation}
Esta formulação estabelece o \textit{mapa helicoidal-zeta}, combinando:
\begin{itemize}
\item Distribuição dos primos $p_n$
\item Modulação harmônica $r_n = \sin^2(\theta_n)$
\item Ressonâncias modulares $\delta_m$
\item Valores da função zeta na linha crítica
\item Transformada Fourier helicoidal para análise espectral
\end{itemize}
\section*{7. Representação Final}
\begin{equation}
\boxed{
\mathbf{H}_n^{(m)} = \delta_m(p_n) \left( \sin^2(2\pi \phi p_n) \cos(2\pi \phi p_n), \, \sin^2(2\pi \phi p_n) \sin(2\pi \phi p_n), \, p_n \right) \oplus \zeta\Big(\frac{1}{2} + i p_n\Big)
}
\end{equation}
Esta é a formulação acadêmica máxima da **Fn helicoidal com reforço modular e função zeta**, combinando **Euler, Riemann e Tesla** em um único mapa matemático.
\end{document}


https://cdn-uploads.huggingface.co/production/uploads/68eef17784f7286f1cce8cbf/_P88i3iYdMDq-NEoH413n.mp4