Releases: aitytech/MinuteAI-python-runtime
Releases · aitytech/MinuteAI-python-runtime
Python Runtime v1.1.0 (macOS arm64)
What's New in v1.1.0
MPS GPU Acceleration (5-15x speedup)
- Patched PyTorch 2.10.0 with Metal scalar address-space fix (
device→constantinc10/metal/indexing.h) - Pyannote diarization now runs on Apple Silicon GPU via MPS backend
- Automatic MPS detection with CPU fallback
Architecture Change: Scripts Separated
- Python scripts are no longer in the runtime archive
- Scripts (
run_diarization.pyc,download_model.pyc) ship with the app bundle - Script updates = app update only (no re-downloading 240MB runtime)
- Runtime download only needed when Python/PyTorch version changes
Contents
- Python 3.13.11 (arm64)
- PyTorch 2.10.0 (patched for MPS)
- pyannote.audio + speaker-diarization model
System Requirements
- macOS 14+ (Sonoma or later)
- Apple Silicon (M1/M2/M3/M4)
Size
- Download: ~240 MB (tar.gz)
- Extracted: ~770 MB
Python Runtime v1.0.0 (macOS arm64)
MinuteAI Python Runtime v1.0.0
Pre-built Python runtime with bundled pyannote speaker diarization model.
Contents
- Python 3.13.11 (arm64)
- pyannote.audio 4.0.4
- PyTorch 2.10.0 (CPU-only)
- pyannote/speaker-diarization-community-1 model (CC-BY-4.0)
Details
- Compressed: ~234 MB
- Extracted: ~743 MB
- Platform: macOS arm64 (Apple Silicon)
Usage
Downloaded automatically by MinuteAI when pyannote diarization is enabled.
Model Attribution
Speaker diarization model by Hervé Bredin et al., licensed under CC-BY-4.0.
Original: https://huggingface.co/pyannote/speaker-diarization-community-1