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matt-2012/parakeet-primeline-de-coreml
parakeet-primeline-de-coreml is a automatic speech recognition model from matt-2012. Use it when you need speech turned into text. It is set up for fluidaudio. The card lists the license as cc-by-4.0.
A Core ML export of primeline/parakeet-primeline, laid out for FluidAudio's .v3 ASR path on Apple Silicon.
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Updated Aug 2, 2026
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From the Hugging Face model README
A Core ML export of primeline/parakeet-primeline,
laid out for FluidAudio's .v3 ASR path on
Apple Silicon.
This repository is a redistribution with modifications of a CC BY 4.0 model. It contains no new training. See Changes made for the exact list.
| Layer | Source | License |
|---|---|---|
| Base architecture and weights | nvidia/parakeet-tdt-0.6b-v3 | CC BY 4.0 |
German fine-tune (.nemo) | primeline/parakeet-primeline | CC BY 4.0 |
| Core ML conversion tooling and vocabulary | FluidInference/parakeet-tdt-0.6b-v3-coreml | CC BY 4.0 |
| This export | you are here | CC BY 4.0 |
NVIDIA's card states: "GOVERNING TERMS: Use of this model is governed by the CC-BY-4.0 license." No additional restrictions are imposed here, and none may be added downstream.
Relative to primeline/parakeet-primeline:
.nemo checkpoint to Core ML with FluidInference/mobius'
convert-parakeet.py.RangeDim(1, max_samples) flexible input; this export uses a fixed shape instead..mlpackage → .mlmodelc. Only the compiled form is shipped.parakeet_joint_decision_single_step → JointDecisionv3.mlmodelc — the 5-output v3
head. FluidAudio's .v3 path will not load the 3-output parakeet_joint_decision.Encoder.mlmodelc/weights/weight.bin is
1,185,860,032 bytes (~1.19 GB). This is deliberately not the int8 encoder
FluidInference publishes (445,187,200 bytes) — the fp16 encoder is what this export was
evaluated with.parakeet_vocab.json is byte-identical to FluidInference's
(sha256:7ec60e05…98735); it is included so the bundle is self-contained.FluidAudio's AsrModels.load(from:) resolves its repository root as
url.deletingLastPathComponent()/parakeet-tdt-0.6b-v3. These files must sit in a
directory named exactly parakeet-tdt-0.6b-v3 or the load fails.
parakeet-tdt-0.6b-v3/
├── Preprocessor.mlmodelc/
├── Encoder.mlmodelc/
├── Decoder.mlmodelc/
├── JointDecisionv3.mlmodelc/
└── parakeet_vocab.json
17 files, 1,224,182,759 bytes total.
hf download matt-2012/parakeet-primeline-de-coreml --local-dir ./parakeet-tdt-0.6b-v3
Set ModelHub.offlineMode = true before loading. Without it, a missing file is a cue for
FluidAudio to fetch the stock English NVIDIA v3 into the same directory; its cache check
is filename-existence only, with no checksums.
The SHA-256 of every file. Hugging Face's LFS oid is the SHA-256, so the table can be
checked against the tree API without downloading:
| File | Bytes | SHA-256 |
|---|---|---|
Decoder.mlmodelc/analytics/coremldata.bin | 243 | a2acb22d3901041daff2bc09434b228b0838f0333ebe1ec92edd039ca263125e |
Decoder.mlmodelc/coremldata.bin | 554 | cb1a4041bce8cb5ce66bb340fbad2edae291383b34ecd960d110b9f42f87f6ad |
Decoder.mlmodelc/model.mil | 13,108 | 9d9beb4c19ce5ecd9cf656bf80534c6e2d7054c24108225e06d4f3e9cbe9471c |
Decoder.mlmodelc/weights/weight.bin | 23,604,992 | d92ce68e4dcdb650b0446a390017e1a7470fd8c2b457585cd19c5909f8c3e5c5 |
Encoder.mlmodelc/analytics/coremldata.bin | 243 | e896501dcdcd5bc48a5f978ee585518fe1b9926df0b67092da44be007871402b |
Encoder.mlmodelc/coremldata.bin | 478 | 1a8d3cfa00be12fb007ed6f6dbdfa1e762b21a081ff3561987ef4c7f2b69818a |
Encoder.mlmodelc/model.mil | 892,025 | fb84017adfb8a5b1019203c6eb7b0092bc9990fc964e82301bd51aa7c4398c4c |
Encoder.mlmodelc/weights/weight.bin | 1,185,860,032 | 2594e5225447ac4d951685406c1f8329a7bf61a9df0ed015f9c6eab0d864fa66 |
JointDecisionv3.mlmodelc/analytics/coremldata.bin | 243 | 006c170b4cb28628fa835cb555bf0fd7db26eca8ee516927523af2a03246c430 |
JointDecisionv3.mlmodelc/coremldata.bin | 591 | c0e611380ef092c5804a6459e9a9f4ea0ffd41c2ca0f3f54cacb69d532b2dd4e |
JointDecisionv3.mlmodelc/model.mil | 11,775 | be60732943389a047175111a83f8839f3eb39d4803adafa828a0871b2f39818d |
JointDecisionv3.mlmodelc/weights/weight.bin | 12,642,764 | a0c74f8b291468b11dd40c812a57df6bb880c084e8971ade72a45374f294b2d2 |
Preprocessor.mlmodelc/analytics/coremldata.bin | 243 | 900bf9c0b13759e22bcadb3dca62e7e716b586c642e07208a10fc8ccad91f25b |
Preprocessor.mlmodelc/coremldata.bin | 485 | a126be17938b9039f1a2fb3e6af4a0c27f4052441c4cb16619347ef274c70912 |
Preprocessor.mlmodelc/model.mil | 27,157 | 4da2091a9c8c252b5b83b8d9504827f0a5e21779471f42bb72f9318a54b4afe7 |
Preprocessor.mlmodelc/weights/weight.bin | 976,704 | f3c3d600f5fc6311ceff6406c10aeb4285a7f0fda4de6ac86b5bee3e76f80e32 |
parakeet_vocab.json | 151,122 | 7ec60e05f1b24480736ec0eed40900f4626bce1fa9a60fd700ec7e2a59198735 |
main is never force-pushed. Consumers should pin a commit SHA; ueberblick pins the
commit tagged v1 and verifies every file against the table above before installing it.
@misc{parakeet-tdt-0.6b-v3,
title = {Parakeet TDT 0.6B v3},
author = {{NVIDIA}},
year = {2025},
url = {https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3}
}