🧃 Parakeet TDT 0.6B V2 CoreML This is a CoreML optimized version of NVIDIA's Parakeet TDT 0.6B V2 model, designed for high performance automatic speech recognition on Apple platforms. Model Description Models will continue to evolve as we optimize performance and accuracy. This model has been converted to CoreML format for efficient on device inference on Apple Silicon and iOS devices, enabling real time speech recognition with minimal memory footprint. Usage in Swift See the FluidAudio repository for instructions. Performance Real time factor: ~110x on M4 Pro Memory usage: ~800MB peak Supported platforms: macOS 14+, iOS 17+ Optimized for: Apple Silicon Model Details Architecture: FastConformer TDT Parameters: 0.6B Sample rate: 16kHz License This model is released under the CC BY 4.0 license. See the LICENSE file for details. Acknowledgments Based on NVIDIA's Parakeet TDT model. CoreML conversion and Swift integration by the FluidInference team.
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