Model guide

Hviske v5 Tiny Q5_0 for dictation on Mac

syvai's hviske v5 tiny, a Danish-only speech model, in its 5-bit GGUF build. It runs under CrispASR's cohere backend. The model is licensed CC BY-NC 4.0, non-commercial.

Measured in Codictate on an Apple M4 Max, at least 927 recordings per language

Word accuracy
88.7%
Wait per second of audio
18 ms
Peak RAM
327 MB
Download
181 MB
Languages
Danish
Translates to English
No

Hviske v5 Tiny Q5_0 accuracy by language

The share of words transcribed correctly, so higher is better. English comes from LibriSpeech audiobooks, the other languages from FLEURS read speech.

LanguageWord accuracy
English (clean)Targets Danish only.
English (noisy)Targets Danish only.
SpanishTargets Danish only.
Danish88.7%
HungarianTargets Danish only.

The Hviske v5 Tiny Q5_0 model file

The file is hviske-v5-tiny-q5_0.gguf, published at emillykkegrann/hviske-v5-tiny-GGUF on Hugging Face. You do not have to fetch it yourself: pick the model in Codictate's Settings and the app downloads it for you.

How it compares

Every model with a guide, from the same recordings. Wait is milliseconds per second of audio, so lower is better.

ModelWord accuracyWait per second of audioPeak RAMDownloadLanguages
Whisper Large V3 Turbo Q5_093.5%66 ms778 MB574 MBAll Whisper languages
Whisper Large V3 Q5_094.0%106 ms1.5 GB1.1 GBAll Whisper languages
Whisper Large V394.0%164 ms3.5 GB3.0 GBAll Whisper languages
Whisper Large V3 Turbo93.6%93 ms1.9 GB1.6 GBAll Whisper languages
Whisper Medium Q5_090.8%65 ms878 MB514 MBAll Whisper languages
Whisper Small Q5_180.7%-383 MB181 MBAll Whisper languages
Parakeet TDT 0.6B v392.0%11 ms80 MB500 MB25
Hviske v5 Tiny Q5_088.7% (Danish)18 ms327 MB181 MBDanish
Edda v0.2 Q5_092.5% (Danish)53 ms787 MB547 MBDanish

Which model to pick · All benchmarks, including Wispr Flow · How we measure · Hviske v5 Tiny Q5_0 benchmark (Sep 2026) · Hviske v5 Tiny Q5_0 on 400 Danish recordings (Sep 2026)

Dictate with Hviske v5 Tiny Q5_0

Codictate is free and open source for Mac and Windows. Press the shortcut, speak, and the text lands wherever your cursor is. The model runs on your machine, so your audio never leaves it.

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