FluidInference / parakeet-tdt-ctc-110m-coreml

huggingface.co
Total runs: 787
24-hour runs: -12
7-day runs: 5
30-day runs: 80
Model's Last Updated: March 17 2026
automatic-speech-recognition

Introduction of parakeet-tdt-ctc-110m-coreml

Model Details of parakeet-tdt-ctc-110m-coreml

Parakeet-TDT-CTC 110M — CoreML

CoreML export of nvidia/parakeet-tdt_ctc-110m for on-device speech recognition on Apple Silicon via FluidAudio .

CoreML Components
File Size Description
Preprocessor.mlmodelc 207 MB Fused mel-spectrogram + FastConformer encoder
Decoder.mlmodelc 7.5 MB 1-layer LSTM prediction network
JointDecision.mlmodelc 2.7 MB Single-step joint network (token + duration)
parakeet_vocab.json 18 KB 1024-token BPE vocabulary
config.json 2.5 KB Model metadata and I/O contracts

Input: 16 kHz mono audio, fixed 15-second window (240,000 samples). Output: Token IDs, probabilities, and TDT duration predictions per encoder frame.

Performance

Benchmarked with FluidAudio CLI on Apple M2 (release build):

Benchmark WER
LibriSpeech test-clean 3.0%
RTFx (overall) 102x real-time
Peak memory 0.3 GB

NVIDIA's reference WER (greedy, GPU):

Benchmark WER
LibriSpeech test-clean 2.4%
LibriSpeech test-other 5.2%
AMI 15.88%
Earnings-22 12.42%
GigaSpeech 10.52%
TEDLIUM-v3 4.16%
Usage with FluidAudio
# Transcribe
fluidaudiocli transcribe audio.wav --model-version tdt-ctc-110m

# Benchmark
fluidaudiocli asr-benchmark --subset test-clean --model-version tdt-ctc-110m

Models auto-download from this repo on first use. To pre-fetch:

fluidaudiocli download --model-version tdt-ctc-110m
Conversion

Exported from NeMo using mobius/models/stt/parakeet-tdt-ctc-110m/coreml/convert-tdt-coreml.py :

  • Preprocessor fuses mel-spectrogram extraction and the FastConformer encoder into a single CoreML model
  • JointDecision is the single-step variant (encoder_step + decoder_step inputs) used by FluidAudio's TDT decoder
  • All models exported as MLProgram (iOS 17+ / macOS 14+), float32 precision
References

Runs of FluidInference parakeet-tdt-ctc-110m-coreml on huggingface.co

787
Total runs
-12
24-hour runs
-20
3-day runs
5
7-day runs
80
30-day runs

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