Instructions to use Dev4285/MiniArt-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Dev4285/MiniArt-Uncensored 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 Dev4285/MiniArt-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Dev4285/MiniArt-Uncensored:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Dev4285/MiniArt-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Dev4285/MiniArt-Uncensored: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 Dev4285/MiniArt-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Dev4285/MiniArt-Uncensored: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 Dev4285/MiniArt-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Dev4285/MiniArt-Uncensored:Q4_K_M

Use Docker

docker model run hf.co/Dev4285/MiniArt-Uncensored:Q4_K_M

LM Studio
Jan

vLLM

How to use Dev4285/MiniArt-Uncensored with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Dev4285/MiniArt-Uncensored"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Dev4285/MiniArt-Uncensored",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Dev4285/MiniArt-Uncensored:Q4_K_M

Ollama
How to use Dev4285/MiniArt-Uncensored with Ollama:
```
ollama run hf.co/Dev4285/MiniArt-Uncensored:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Dev4285/MiniArt-Uncensored with Docker Model Runner:
```
docker model run hf.co/Dev4285/MiniArt-Uncensored:Q4_K_M
```

Lemonade

How to use Dev4285/MiniArt-Uncensored with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Dev4285/MiniArt-Uncensored:Q4_K_M

Run and chat with the model

lemonade run user.MiniArt-Uncensored-Q4_K_M

List all available models

lemonade list

Atomic Chat

MiniArt Uncensored

MiniArt Uncensored by OSAMA INC is an unrestricted version of Mini Art, optimized for local inference on Qwen2 architecture. It delivers creative conversation, storytelling, and interactive dialogue — running entirely on your own hardware.

Available in GGUF format (Q4_K_M, ~379 MB) for seamless execution across LM Studio, Ollama, llama.cpp, and KoboldCpp.

Model Overview

Property	Value
Model Name	MiniArt Uncensored
Made By	OSAMA INC
Format	GGUF (`.gguf`)
Quantization	Q4_K_M (~379 MB)
License	Apache 2.0
Context Length	32768 tokens

How to Use

LM Studio

Download MiniArt-Uncensored-Q4_K_M.gguf.
Open LM Studio and load the model file.
Start chatting.

Ollama

ollama create miniart-uncensored -f ./Modelfile
ollama run miniart-uncensored

llama.cpp

./llama-server -m MiniArt-Uncensored-Q4_K_M.gguf -c 2048 -n 512

License

This project is licensed under the Apache 2.0 License.

Downloads last month: 649

GGUF

Model size

1.0B params

Architecture

gemma3

Hardware compatibility

4-bit