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 Studio

How to use Dev4285/MiniArt-Uncensored 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 Dev4285/MiniArt-Uncensored 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 Dev4285/MiniArt-Uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Dev4285/MiniArt-Uncensored to start chatting

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

File size: 1,461 Bytes

7c8622a

---

language:
- en
license: apache-2.0
tags:
- text-generation
- gguf
- creative
- roleplay
- lm-studio
- conversational
pipeline_tag: text-generation
---

# 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
1. Download `MiniArt-Uncensored-Q4_K_M.gguf`.
2. Open **LM Studio** and load the model file.
3. Start chatting.

### Ollama
```bash

ollama create miniart-uncensored -f ./Modelfile

ollama run miniart-uncensored

```

### llama.cpp
```bash

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

```

---
## License

This project is licensed under the [Apache 2.0 License](LICENSE).