ModelListedExternal

Whisper Large v3 Turbo 4bit

This model was converted to MLX format from openai/whisper-large-v3-turbo using mlx-audio-plus version 0.1.4.

Sourcehuggingface.co/hudsonai-app/whisper-large-v3-turbo-4bit/tree/a45a14632b06b96a24650d9f758e493b8bc38155

KindText modelBase modelopenai/whisper-large-v3-turboVersionmodelBgrade

Model source

Kind: Text model
File size: 442 MB
Base model: openai/whisper-large-v3-turbo
Version: vmodel
Updated: Oct 19, 2026
Downloads: 13
Source: Hugging Face

Source description

mlx-community/whisper-large-v3-turbo-4bit

This model was converted to MLX format from openai/whisper-large-v3-turbo using mlx-audio-plus version 0.1.4.

Use with mlx-audio-plus

pip install -U mlx-audio-plus

Command line

mlx_audio.stt --model mlx-community/whisper-large-v3-turbo-4bit --audio audio.mp3

Python

from mlx_audio.stt import transcribe

result = transcribe(
    audio="audio.mp3",
    model="mlx-community/whisper-large-v3-turbo-4bit",
)
print(result["text"])

Sources

1 source

Hugging FacePrimaryVersion a45a14632b06b96a24650d9f758e493b8bc38155

huggingface.co/hudsonai-app/whisper-large-v3-turbo-4bit/tree/a45a14632b06b96a24650d9f758e493b8bc38155

Verified Oct 19

Model artifacts

1 artifact

model.safetensors

safetensors · 442 MB · SHA-256 e2d6146b4964…567e · Hugging Face

Download file

Source excerpts

3 excerpts

ReadmeAug 3huggingface.co/hudsonai-app/whisper-large-v3-turbo-4bit

--- library_name: mlx-audio-plus license: apache-2.0 base_model: - openai/whisper-large-v3-turbo tags: - mlx - whisper - speech-recognition - speech-to-text - stt pipeline_tag: automatic-speech-recognition --- # mlx-community/whisper-large-v3-turbo-4bit This model was converted to MLX format from [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.4**. ## Use with mlx-audio-plus ```bash pip install -U mlx-audio-plus ``` ### Command line ```bash mlx_audio.stt --model mlx-community/whisper-large-v3-turbo-4bit --audio audio.mp3 ``` ### Python ```python from mlx_audio.stt import transcribe result = transcribe( audio="audio.mp3", model="mlx-community/whisper-large-v3-turbo-4bit", ) print(result["text"]) ```

NoteOct 19huggingface.co/hudsonai-app/whisper-large-v3-turbo-4bit

Source context: 13 downloads · 0 likes · Pipeline automatic-speech-recognition · Library mlx-audio-plus · Repo hudsonai-app/whisper-large-v3-turbo-4bit

NoteAug 3huggingface.co/hudsonai-app/whisper-large-v3-turbo-4bit

Source context: 120 downloads · 0 likes · Pipeline automatic-speech-recognition · Library mlx-audio-plus · Repo hudsonai-app/whisper-large-v3-turbo-4bit