Installation
This page gets the pie CLI onto your machine. After this, see Initial setup to create ~/.pie/config.toml and run a prompt.
Supported platforms
| Platform | Builds |
|---|---|
| Linux x86_64 | portable, cuda12.6, cuda12.8, cuda13.0, and portable-cuda* |
| Linux aarch64 | portable |
| macOS Apple Silicon | portable |
Windows native and Intel Macs are not supported. On Windows, use WSL and the Linux build.
portable includes the ggml-backed embedded driver and is the fallback everywhere. The CUDA flavors are Linux x86_64 only and include the embedded cuda_native driver.
Install the CLI
curl -fsSL https://pie-project.org/install.sh | bash
The installer downloads a release tarball, installs pie into ~/.local/bin by default, and auto-picks a flavor:
- NVIDIA driver
>= 580:cuda13.0 - NVIDIA driver
>= 525:cuda12.8 - otherwise:
portable
Override the flavor or install directory with environment variables:
curl -fsSL https://pie-project.org/install.sh | PIE_FLAVOR=cuda12.8 bash
curl -fsSL https://pie-project.org/install.sh | PIE_FLAVOR=portable bash
curl -fsSL https://pie-project.org/install.sh | PIE_INSTALL_DIR=/usr/local/bin bash
Valid PIE_FLAVOR values are portable, cuda12.6, cuda12.8, cuda13.0, portable-cuda12.6, portable-cuda12.8, and portable-cuda13.0.
To install a specific release tag:
curl -fsSL https://pie-project.org/install.sh | PIE_VERSION=v0.1.2 bash
If pie is not on your PATH, add the install directory:
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
Verify
pie --version
pie doctor
pie driver list
pie doctor reports platform readiness, compiled-in embedded drivers, GPU visibility, config status, and subprocess-driver venv resolution.
Optional Python drivers
The pie binary can run embedded drivers without Python. Python is only needed for subprocess drivers: dev, vllm, and sglang.
Install uv, then let pie driver print or run the matching venv recipe:
pie driver dev install ~/.pie/venvs/dev --run
pie driver dev set venv ~/.pie/venvs/dev
pie driver dev doctor
Use the same flow for vLLM or SGLang:
pie driver vllm install ~/.pie/venvs/vllm --run
pie driver vllm set venv ~/.pie/venvs/vllm
pie driver sglang install ~/.pie/venvs/sglang --run
pie driver sglang set venv ~/.pie/venvs/sglang
The CLI creates Python 3.12 virtual environments and installs the matching wheels (pie-driver-dev[cu128], pie-driver-vllm, or pie-driver-sglang). A model can also override the interpreter with venv or python under [model.driver.options].
Install from source
For development:
git clone https://github.com/pie-project/pie.git
cd pie
# Default features: embedded portable driver plus always-linked dummy.
cargo install --path server
# Include the embedded CUDA driver too.
CUDACXX=/usr/local/cuda/bin/nvcc \
cargo install --path server --features driver-portable,driver-cuda
The installed CLI is still pie. Re-run pie doctor after building to confirm which embedded drivers are compiled in.
Next
- Initial setup: create config, download a model, run a prompt.
- Development environment: install tools for writing inferlets.
- Configuration: the full
~/.pie/config.tomlschema.