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Parakeet Tdt 0.6b v3 Coreml

Core ML build of nvidia/parakeet-tdt-0.6b-v3 (FastConformer encoder + TDT decoder, 0.6B parameters, 25 European languages including Russian and Ukrainian, punctuation and capitalization built in).

ArtOtherBasismodellnvidia/parakeet-tdt-0.6b-v3VersionRevision 738ae6aBBewertung

Modellquelle

Art
Other
Dateigröße
243 B–425 MB
Basismodell
nvidia/parakeet-tdt-0.6b-v3
Version
vRevision 738ae6a
Aktualisiert
31. Okt. 2026
Downloads
42
Quelle
Hugging Face

Quellenbeschreibung

parakeet-tdt-0.6b-v3 - Core ML

Core ML build of nvidia/parakeet-tdt-0.6b-v3 (FastConformer encoder + TDT decoder, 0.6B parameters, 25 European languages including Russian and Ukrainian, punctuation and capitalization built in).

Mirrored from FluidInference/parakeet-tdt-0.6b-v3-coreml for the Letopis on-device transcription pipeline; the runtime is the FluidAudio Swift package (Apache-2.0). This mirror carries the single runtime file set the app downloads (fp16/int8 inference path).

Files

  • Preprocessor.mlmodelc, Encoder.mlmodelc, Decoder.mlmodelc, JointDecisionv3.mlmodelc
  • config.json, parakeet_vocab.json, parakeet_v3_vocab.json

Credits and license

  • Model: NVIDIA parakeet-tdt-0.6b-v3, CC-BY-4.0.
  • Core ML conversion: FluidInference.
  • No changes to the weights; this is a byte-identical mirror of the runtime files.

Quellen

1 Quelle
Hugging FacePrimärVersion 738ae6a163f4a882dd69f7115e4f08a51815475d
huggingface.co/smkrv/parakeet-tdt-0.6b-v3-coreml/tree/738ae6a163f4a882dd69f7115e4f08a51815475d

Verifiziert 31. Okt.

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Modellartefakte

9 Artefakte

Decoder.mlmodelc/analytics/coremldata.bin

bin · 243 B · SHA-256 4238c4e81ecd…a350 · Hugging Face

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Decoder.mlmodelc/coremldata.bin

bin · 554 B · SHA-256 18647af085d8…fb99 · Hugging Face

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Decoder.mlmodelc/weights/weight.bin

bin · 22,5 MB · SHA-256 48adf0f0d47c…5d41 · Hugging Face

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Encoder.mlmodelc/analytics/coremldata.bin

bin · 243 B · SHA-256 42e638870d73…a105 · Hugging Face

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Encoder.mlmodelc/coremldata.bin

bin · 485 B · SHA-256 d48034a167a8…fb86 · Hugging Face

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Encoder.mlmodelc/weights/weight.bin

bin · 425 MB · SHA-256 e2020f323703…f421 · Hugging Face

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JointDecisionv3.mlmodelc/analytics/coremldata.bin

bin · 243 B · SHA-256 26def4bf73dd…7b6c · Hugging Face

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JointDecisionv3.mlmodelc/coremldata.bin

bin · 521 B · SHA-256 f5fc08b74140…8342 · Hugging Face

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JointDecisionv3.mlmodelc/weights/weight.bin

bin · 12,1 MB · SHA-256 4e0e63d84003…db3e · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: cc-by-4.0 language: - en - ru - uk - de - fr - es - it - pl - nl - pt tags: - automatic-speech-recognition - coreml - parakeet - fastconformer - tdt base_model: nvidia/parakeet-tdt-0.6b-v3 --- # parakeet-tdt-0.6b-v3 - Core ML Core ML build of [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) (FastConformer encoder + TDT decoder, 0.6B parameters, 25 European languages including Russian and Ukrainian, punctuation and capitalization built in). Mirrored from [FluidInference/parakeet-tdt-0.6b-v3-coreml](https://huggingface.co/FluidInference/parakeet-tdt-0.6b-v3-coreml) for the [Letopis](https://letopisapp.com) on-device transcription pipeline; the runtime is the [FluidAudio](https://github.com/FluidInference/FluidAudio) Swift package (Apache-2.0). This mirror carries the single runtime file set the app downloads (fp16/int8 inference path). ## Files - `Preprocessor.mlmodelc`, `Encoder.mlmodelc`, `Decoder.mlmodelc`, `JointDecisionv3.mlmodelc` - `config.json`, `parakeet_vocab.json`, `parakeet_v3_vocab.json` ## Credits and license - Model: NVIDIA parakeet-tdt-0.6b-v3, [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). - Core ML conversion: FluidInference. - No changes to the weights; this is a byte-identical mirror of the runtime files.

Source context: 42 downloads · 1 likes · Pipeline automatic-speech-recognition · Repo smkrv/parakeet-tdt-0.6b-v3-coreml

Source context: 17 downloads · 1 likes · Pipeline automatic-speech-recognition · Repo smkrv/parakeet-tdt-0.6b-v3-coreml