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
- llama.cpp
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
- Llama new
- 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
Commit History
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Restore original MiniArt-Uncensored layout; ship single GGUF with embedded MiniArt persona
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Remove safetensors/tokenizer files added in error (reverting to original GGUF-only layout)
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Replace model with huihui-ai/gemma-3-1b-it-abliterated; inject MiniArt Uncensored persona into chat_template
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Remove old GGUF model (replaced by gemma-3-1b-it-abliterated)
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feat: update embedded system prompt in GGUF binary
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docs: update README documentation
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feat: update Qwen2 MiniArt chat template
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feat: update Qwen2 MiniArt system prompt in Modelfile
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feat: update embedded GGUF tokenizer.chat_template to MiniArt Uncensored by OSAMA INC
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docs: remove system prompt text display from README
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docs: update README with new system prompt and OSAMA INC identity
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feat: add uncensored system prompt to chat template
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feat: update system prompt identity to MiniArt Uncensored by OSAMA INC
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docs: update model file size in README
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fix: replace corrupted GGUF file with valid Qwen2.5 Q4_K_M weights
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fix: correct context length and file size in README
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fix: correct architecture to Qwen2ForCausalLM (fixes 'Failed to load model')
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initial commit
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