Pirate Face is a decentralized infrastructure designed to ensure the permanence of open-weight AI models by transforming them into checksum-verified torrents. The platform mirrors trending Apache-2.0 and MIT-licensed models from Hugging Face, utilizing BitTorrent's web-seed specification (BEP-19) to include HTTPS URLs as guaranteed sources. This mechanism allows users to download models directly from Hugging Face while the files are available, but enables a seamless fallback to a peer-to-peer swarm the moment the original host removes the content. To ensure data integrity and prevent tampering, every file is validated against its official Hugging Face SHA-256 hash. Developers can integrate the service into existing workflows with zero code changes by updating their environment variables to set HF_ENDPOINT=https://pirateface.co, which redirects API requests to Pirate Face's endpoint. While the current system requires models to exist on Hugging Face first, the platform plans to support direct model publishing. The ecosystem includes a community layer where users can claim handles and verify their Hugging Face identities to prevent impersonation, with future incentives such as free compute credits being planned for active contributors.