Update README.md

README.md

@@ -27,6 +27,36 @@ base_model:
 - nvidia/parakeet-tdt-0.6b-v2
 ---
 
-Parakeet TDT 0.6B V2 (En)
+# Parakeet TDT 0.6B V2 - CoreML
 
-Work in progress, follow this [repo](https://github.com/FluidInference/FluidAudio) for updates, models will continue to change as we tune them
+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](https://github.com/FluidInference/FluidAudioSwift) for instructions. 
+
+## Performance
+
+- Real-time factor: < 0.3x on M1 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.