FluidInference/parakeet-tdt-0.6b-v3-coreml

automatic-speech-recognition model by FluidInference

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[](#model-architecture) On‑device multilingual ASR model converted to Core ML for Apple platforms. This model powers FluidAudio’s batch ASR and is the same model used in our backend. It supports 25 European languages and is optimized for low‑latency, private, offline transcription. The conversion script is here: https://github.com/FluidInference/mobius/tree/main/models/stt/parakeet-tdt-v3-0.6b/coreml And the benchmarks are here: https://github.com/FluidInference/FluidAudio/blob/main/Documentation/Benchmarks.md#transcription For quickest integration,…

FluidInference/parakeet-tdt-0.6b-v3-coreml on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-26T06:51:46.721Z

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Model overview

FluidInference/parakeet-tdt-0.6b-v3-coreml is a automatic-speech-recognition model repository published by FluidInference on Hugging Face. The source reports the nemo library.

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Model facts

Task: automatic-speech-recognition
Library: nemo
Recent downloads (30 days): 283,946
Cumulative likes: 54
Hugging Face trending score: 1
Reported safetensors parameters: Not reported
Architecture: Not reported
License: cc-by-4.0
Access: Not gated by Hugging Face
Created: 2025-08-17T17:20:34.000Z
Last modified: 2026-08-19T20:10:29.000Z

Compatibility and lineage

Reported languages: en, es, fr, de, bg, hr, cs, da, nl, et, fi, el, hu, it, lv, lt, mt, pl, pt, ro, sk, sl, sv, ru, uk

Reported base models: nvidia/parakeet-tdt-0.6b-v3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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