local.ai is a free and open-source native application for managing, verifying, and performing inferencing with AI models offline. It features a robust model downloader with digest verification (BLAKE3 and SHA256) to ensure model integrity. The app supports CPU inferencing, adapting to available threads and offering GGML quantization options. A local streaming server allows quick AI inference with a UI that writes to .mdx and supports inference parameters and remote vocabulary. Future features include GPU inferencing, parallel sessions, nested directories, custom sorting and searching, model explorer, model search, model recommendation, server management, and audio/image support. The app is available for Windows, macOS (Intel and M1/M2), and Linux.
• cpu inferencing
• digest compute
• directory agnostic
• usage-based sorting
• resumable, concurrent downloader
• adapts to available threads
• known-good model api (local.ai's known-good model api for model verification), license and usage chips, blake3 quick check, model info card, streaming server, quick inference ui, writes to .m
• ggml quantization q4, 5.1, 8, f16
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