Nativ, an MIT-licensed open-source macOS application, launched for running open language, vision, video, code, audio, and embedding models locally on Apple Silicon (M1 and newer). It is built on MLX-VLM and tuned for M-series unified memory and Metal, and requires no account, subscription, or cloud connection. The app offers a curated model library with recommendations based on hardware, listing partner models including Google's Gemma 4 E2B Instruct (128k context, 10.28 GB, vision + audio), Cohere's North Mini Code (500k context, 19.38 GB, code + tools), and Liquid AI's LFM2.5-VL 1.6B (128k context, 3.20 GB, vision + language). It also exposes a local model server endpoint that coding agents such as Pi, Codex, Claude Code, Hermes, and OpenCode can connect to, plus live telemetry for tokens/sec, memory pressure, thermal state, and time-to-first-token. Distribution is via GitHub releases.
- blaizzy.github.io2026-08-07