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aituner v0.1.0

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@github-actions github-actions released this 26 Sep 23:14
· 44 commits to main since this release
v0.1.0
2e9fca8

aituner 0.1.0

The first release: a native Mac app for running local AI models on Apple Silicon.

  • Start-up scan: every launch detects the chip, CPU and GPU cores, memory, storage, power, thermals and runtimes, live.
  • Models: canirun.ai-ranked, MLX builds that fit this Mac's GPU memory budget, with a background download queue
    (weights, config and tokenizer only, verified and resumable).
  • Setup: Bootstrap creates the models, reports and knowledge base folders and installs MLX and macmon after one
    confirmation; start a model and connect Claude Code, VS Code, Neovim, Vim + tmux or any OpenAI-compatible tool
    through a local gateway (OpenAI and Anthropic Messages APIs).
  • Monitor: live GPU use and frequency, CPU, power, temperatures and memory; a menu bar panel with the live model and
    GPU; closing the window keeps aituner and the model running.
  • Optional benchmark, tuning (only changes you approve, each reversible) and before/after reports.
  • Storage: choose where models, reports and the knowledge base live; clear what aituner created, with a preview.
  • Tools and services: see what is running (MLX, model server, gateway, macmon, Ollama) and quit or remove it.
  • Updates: aituner checks GitHub for new releases, asks first, verifies the Developer ID signature, notarization and
    checksums, then restarts. Homebrew installs update with brew.
  • Dark by default, with a light theme one click away.
  • Signed with a Developer ID and notarized by Apple.
  • Private by design: listens on 127.0.0.1 only; talks to canirun.ai and Hugging Face for model data and GitHub for
    updates, nothing else. No account, no telemetry.

Requires macOS 14 or later on Apple Silicon.
Install: brew install --cask tonynv/tap/aituner or download the disk image from https://aituner.app/download/
Contact: info@aituner.app

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