Instructions to use niobures/VoxCPM2 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 niobures/VoxCPM2 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 niobures/VoxCPM2:F16 # Run inference directly in the terminal: llama cli -hf niobures/VoxCPM2:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf niobures/VoxCPM2:F16 # Run inference directly in the terminal: llama cli -hf niobures/VoxCPM2:F16
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 niobures/VoxCPM2:F16 # Run inference directly in the terminal: ./llama-cli -hf niobures/VoxCPM2:F16
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 niobures/VoxCPM2:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf niobures/VoxCPM2:F16
Use Docker
docker model run hf.co/niobures/VoxCPM2:F16
- LM Studio
- Jan
- Ollama
How to use niobures/VoxCPM2 with Ollama:
ollama run hf.co/niobures/VoxCPM2:F16
- Unsloth Desktop
- Docker Model Runner
How to use niobures/VoxCPM2 with Docker Model Runner:
docker model run hf.co/niobures/VoxCPM2:F16
- Lemonade
How to use niobures/VoxCPM2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull niobures/VoxCPM2:F16
Run and chat with the model
lemonade run user.VoxCPM2-F16
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- d6c195cace32ebca8fe3ea10c8357c8a7bb008b0fe28c9dbc9b851e8d04d7c7f
- Size of remote file:
- 233 kB
- SHA256:
- 4f5730851d6798d41027fc44bfa62a9cee8f7dc4869aa86278d660dd4bad8bac
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