Model request: NVIDIA Parakeet TDT 0.6B v3 (multilingual streaming ASR)

### Model [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) (NVIDIA Parakeet TDT 0.6B v3, CC-BY-4.0) ### Why this model The current audio catalog covers Whisper (large-v3 and large-v3-turbo), which is excellent for batch transcription but not streaming-native. Parakeet would complement it well for live use cases: - **Streaming-friendly architecture.** TDT/RNN-T decoding is designed for incremental, low-latency output, which suits live captioning much better than sliding-window re-transcription with Whisper. - **On-device friendly size.** At 0.6B parameters it fits comfortably in memory on iPhone-class devices, leaving headroom for the host app. - **Multilingual.** v3 supports 25 European languages, including smaller ones (Dutch, in my case) that are poorly served by on-device alternatives. - **Proven demand on Apple silicon.** Community CoreML ports already exist (e.g. FluidAudio), but a first-party Core AI export recipe with the ahead-of-time compilation and instant-load benefits would be a significant step up in reliability. ### Use case I build a live-captioning app for deaf and hard-of-hearing users (real-time, fully on-device, privacy-sensitive). A streaming-capable multilingual ASR model in the Core AI catalog would directly improve accessibility apps in this category. Thanks for considering it.