Installation

One-Line Install (recommended)

curl -fsSL https://raw.githubusercontent.com/utensils/mold/main/install.sh | sh

Downloads the latest pre-built binary to ~/.local/bin/mold. On Linux, the installer auto-detects your NVIDIA GPU architecture (RTX 40-series or RTX 50-series). macOS builds include Metal support.

Override the GPU architecture:

MOLD_CUDA_ARCH=sm120 curl -fsSL ... | sh  # Blackwell (RTX 50-series)
MOLD_CUDA_ARCH=sm89 curl -fsSL ... | sh   # Ada (RTX 40-series)

Nix

# Run directly — no install needed
nix run github:utensils/mold -- run "a cat"

# Blackwell / RTX 50-series
nix run github:utensils/mold#mold-sm120 -- run "a cat"

# Add to your system profile
nix profile install github:utensils/mold

From Source

Linux (CUDA)

cargo build --release -p mold-ai --features cuda

macOS (Metal)

cargo build --release -p mold-ai --features metal

Requires Rust 1.85+ and CUDA toolkit (Linux) or Xcode (macOS).

Optional features can be added to the same build, for example --features cuda,preview,expand,discord or --features metal,preview,expand,discord if you also want terminal preview, local prompt expansion, or the Discord bot commands.

Docker

docker pull ghcr.io/utensils/mold:latest
docker run --gpus all -p 7680:7680 ghcr.io/utensils/mold:latest

See Docker & RunPod for full deployment instructions.

Pre-Built Binaries

Available on the releases page:

Platform	File
macOS Apple Silicon	mold-aarch64-apple-darwin.tar.gz
Linux x86_64 (Ada, RTX 4090 / 40-series)	mold-x86_64-unknown-linux-gnu-cuda-sm89.tar.gz
Linux x86_64 (Blackwell, RTX 5090 / 50-series)	mold-x86_64-unknown-linux-gnu-cuda-sm120.tar.gz

Shell Completions

source <(mold completions bash)    # bash
source <(mold completions zsh)     # zsh
mold completions fish | source     # fish