Not-For-All-Audiences

llama

llama3.3

uncensored

abliterated

imatrix

conversational

Model card Files Files and versions

xet

Community

Instructions to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

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 Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

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 Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Use Docker

docker model run hf.co/Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

LM Studio
Jan
Ollama
How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Ollama:
```
ollama run hf.co/Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
```
Unsloth Desktop

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Docker Model Runner:
```
docker model run hf.co/Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS
```

Lemonade

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Run and chat with the model

lemonade run user.Cerberus-3.2-1B-IQ4_XS-GGUF-IQ4_XS

List all available models

lemonade list

Hermes Agent

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

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 Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Novaciano/Cerberus-3.2-1B-IQ4_XS-GGUF:IQ4_XS" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Cerberus (AKA: Perro Cabrón) 3.2 1B

Es la combinación de dos modelos recientes con sus datasets inyectados con una dosis... personal de mi mezcla BAPHOMET.

Si todo sale según creo, este modelo será ideal para quienes deseen partidas roleplay del SCP.

Downloads last month: 5

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

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Merge model

this model