Glimpse-Dictation / Parakeet-Ultra-coreml

huggingface.co
Total runs: 67
24-hour runs: 8
7-day runs: 56
30-day runs: 67
Model's Last Updated: October 08 2026
automatic-speech-recognition

Introduction of Parakeet-Ultra-coreml

Model Details of Parakeet-Ultra-coreml

Parakeet Ultra: Core ML encoder, GGUF decoder and full GGUF

Model files for Parakeet Ultra in Glimpse . Parakeet Ultra is Moondream's multilingual fine-tune of NVIDIA Parakeet TDT 0.6B V3 (25 European languages, same architecture and size).

File Download size Use
parakeet-ultra-Q8_0-decoder.gguf 19.5 MB Apple Silicon: predictor, joint network, tokenizer and metadata
parakeet-ultra-Q8_0-encoder-mf3.mlmodelc.zip 529 MB Apple Silicon, macOS 15 or later: int8 Core ML encoder with 15 s, 10.24 s and 5.12 s functions
parakeet-ultra-Q8_0-encoder-macos14.mlmodelc.zip 524 MB Apple Silicon, macOS 14: int8 Core ML encoder, one 15 s function
parakeet-ultra-Q8_0.gguf 740 MB Windows, Intel Macs and any CPU/GPU path: full Q8_0 model

Apple Silicon downloads the decoder plus one encoder zip; other machines download the full GGUF.

Accuracy

Measured with Glimpse's engine on an M2 Pro (Neural Engine, int8 encoder), full test sets, against Parakeet TDT V3 in the same layout:

Parakeet TDT V3 Parakeet Ultra
FLEURS, 25 languages (8499 clips), WER 13.00% 10.77%
LibriSpeech test-clean / test-other, WER 2.19% / 4.03% 2.07% / 3.82%
554 s recording, transcription time 1.76 s 1.43 s

Every FLEURS language is better or the same. On Windows (RTX 4000 Ada, Vulkan, full GGUF) FLEURS WER is 12.53% vs 10.43%.

Provenance

Weights: moondream/parakeet-ultra (CC BY 4.0), based on nvidia/parakeet-tdt-0.6b-v3 (CC BY 4.0). The safetensors were repacked into V3's NeMo layout, converted with transcribe.cpp's convert-parakeet.py , quantized to Q8_0, and the <unk> token marked as a control token (the checkpoint emits it for characters missing from the vocabulary). The decoder is extracted with extract-parakeet-decoder.py ; the encoders are converted with per-channel int8 weights.

Artifact SHA-256
parakeet-ultra-Q8_0.gguf 37611717bcb235e7cc9dbdd24e19e055c41adc9fd4dafee878304af4a16bcb1a
parakeet-ultra-Q8_0-decoder.gguf 5a68f1b297c07436aa7c6bef26712d7ee8bb9db6911741fd6225956cd6d3ef44
parakeet-ultra-Q8_0-encoder-mf3.mlmodelc.zip e5e36aca6827b2c78ad33f61c30b1e1d7b7a6ab0a8f268c6b6fac6f7b4274e1e
parakeet-ultra-Q8_0-encoder-macos14.mlmodelc.zip 63903e2d1dd039017cf02b82208fca2c72f770dfef10c4d67f56b6b438e90fb1
Runtime requirements

Extract either zip next to the decoder GGUF; both unpack to parakeet-ultra-Q8_0-encoder.mlmodelc , which Glimpse-Speech pairs with the decoder by name. The files use the tdt-0.6b-v3 variant profile and need transcribe.cpp at glimpse-hq main (ec5f294d or later) for dictionary boosting of words the model spells differently. The predictor/joint decoder runs on the CPU.

Glimpse

These files power on-device dictation in Glimpse , a free, open-source dictation app for Mac and Windows. The source is on GitHub .

Runs of Glimpse-Dictation Parakeet-Ultra-coreml on huggingface.co

67
Total runs
8
24-hour runs
22
3-day runs
56
7-day runs
67
30-day runs

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Parakeet-Ultra-coreml huggingface.co

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Parakeet-Ultra-coreml install

Parakeet-Ultra-coreml is an open source model from GitHub that offers a free installation service, and any user can find Parakeet-Ultra-coreml on GitHub to install. At the same time, huggingface.co provides the effect of Parakeet-Ultra-coreml install, users can directly use Parakeet-Ultra-coreml installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/Glimpse-Dictation/Parakeet-Ultra-coreml

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