- Libraries
- MLX
How to use NagaYu/customs-decomposer with MLX:
# Download the model from the Hub
pip install huggingface_hub[hf_xet]
hf download NagaYu/customs-decomposer --local-dir customs-decomposer
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use NagaYu/customs-decomposer 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 NagaYu/customs-decomposer
# Run inference directly in the terminal:
llama cli -hf NagaYu/customs-decomposer
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NagaYu/customs-decomposer
# Run inference directly in the terminal:
llama cli -hf NagaYu/customs-decomposer
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf NagaYu/customs-decomposer
# Run inference directly in the terminal:
./build/bin/llama cli -hf NagaYu/customs-decomposer
Use Docker
docker model run hf.co/NagaYu/customs-decomposer
- Llama new
- LM Studio
- Jan
- Ollama
How to use NagaYu/customs-decomposer with Ollama:
ollama run hf.co/NagaYu/customs-decomposer
- Unsloth Desktop
- Docker Model Runner
How to use NagaYu/customs-decomposer with Docker Model Runner:
docker model run hf.co/NagaYu/customs-decomposer
- Lemonade
How to use NagaYu/customs-decomposer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull NagaYu/customs-decomposer
Run and chat with the model
lemonade run user.customs-decomposer-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
