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Jamie Pine
081f45e680
- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks. - Updated release workflow to include MLX-specific dependencies and configurations for macOS platforms. - Refactored backend code to dynamically select between MLX and PyTorch based on the runtime environment. - Enhanced model loading and inference logic to accommodate backend-specific requirements, including updated model IDs and hidden imports. - Improved health check and model status reporting to reflect the active backend type. - Streamlined caching mechanisms to support both backend types, ensuring compatibility and performance.
6 lines
146 B
Plaintext
6 lines
146 B
Plaintext
# MLX-specific dependencies (Apple Silicon only)
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# These should only be installed on aarch64-apple-darwin platforms
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mlx>=0.30.0
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mlx-audio>=0.3.1
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