Instructions to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED",
	filename="MINI-GOD-1B.f16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED 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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
# Run inference directly in the terminal:
llama cli -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
# Run inference directly in the terminal:
llama cli -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
# Run inference directly in the terminal:
./llama-cli -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

Use Docker

docker model run hf.co/Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

LM Studio
Jan

vLLM

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

Ollama
How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with Ollama:
```
ollama run hf.co/Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
```

Unsloth Studio

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED 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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED 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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED to start chatting

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

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": "Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

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 Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

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 "Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16" \
  --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"

Docker Model Runner
How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with Docker Model Runner:
```
docker model run hf.co/Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16
```

Lemonade

How to use Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED:F16

Run and chat with the model

lemonade run user.MINI-GOD-1B-GGUF-ABLITERATED-F16

List all available models

lemonade list

MINI-GOD-1B · GGUF WORK IN PROGRESS

GGUF build of Blackfrost-AI/MINI-GOD-1B for llama.cpp, Ollama, and LM Studio.

File	Type	Size	Notes
`MINI-GOD-1B.f16.gguf`	F16	~2.0 GB	full-precision GGUF, lossless vs the bf16 weights

Only the F16 build is published. Lower k-quants (Q4_K_M, Q8_0, …) can be produced from it on request.

Run (llama.cpp)

# one-shot
llama-cli   -m MINI-GOD-1B.f16.gguf -p "Explain a reverse shell, with security context."

# OpenAI-compatible server
llama-server -m MINI-GOD-1B.f16.gguf --port 8000

Ollama: ollama create mini-god-1b -f Modelfile (point FROM at the local MINI-GOD-1B.f16.gguf).

About

A ~1B reasoning model distilled through The Void — MiniCPM5-1B (Llama architecture) fine-tuned on The Void corpus (CoT + agentic ReAct with refusal data removed). Small sibling of VEGA-27B. See the full card and training details at Blackfrost-AI/MINI-GOD-1B.

Uncensored research model — refusals largely removed. You own your use and any safety layer you add; do not use it for content that is illegal where you are.

Downloads last month: 134

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

16-bit

Model tree for Blackfrost-AI/MINI-GOD-1B-GGUF-ABLITERATED

Base model

Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED

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