Getting Started with RamaLama on Fedora

RamaLama is an open-source tool built under the containers organization that makes running AI models locally as straightforward as working with containers. The goal is to make AI inference boring and predictable. RamaLama handles host configuration by pulling an OCI (Open Container Initiative) container image tuned to the hardware it detects on your system, so you skip the manual dependency setup entirely. If you already work with Podman or Docker, the mental model is familiar. Models are pulled, listed, and removed much like container images. Prerequisites Before installing RamaLama, make sure you have the following: A Fedora system (this guide uses Fedora with dnf) Podman installed, RamaLama uses it as the default container engine Sufficient disk space for model storage (models range from ~2GB to 10GB+) At least 8GB RAM for smaller models; 16GB+ recommended for 7B+ parameter models Installation On Fedora, RamaLama is available directly from the default repositories: sudo dnf install