Instructions to use mradermacher/marco-o1-uncensored-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/marco-o1-uncensored-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/marco-o1-uncensored-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/marco-o1-uncensored-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 mradermacher/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/marco-o1-uncensored-GGUF: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 mradermacher/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/marco-o1-uncensored-GGUF: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 mradermacher/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/marco-o1-uncensored-GGUF with Ollama:
ollama run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/marco-o1-uncensored-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/marco-o1-uncensored-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.marco-o1-uncensored-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 69ba63122c72e415726c85814209edd8d790b7e8f71d0cc12d48a897402c8f2d
- Size of remote file:
- 5.44 GB
- SHA256:
- 03d7e198b7d0f99a9a9cb0ab65d2f7d0261f9c5aa7fb7fb7539315933dae135b
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