mlx-community/whisper-large-v3-turbo-asr-fp16

Model

6

stars

2

commits

8

repos using this model

5

linked in READMEs

Jan 13, 2026

updated

mlx
safetensors
speech
speech generation
speech-to-speech
speech-to-text
stt
whisper

README

mlx-community/whisper-large-v3-turbo-asr-fp16

This model was converted to MLX format from ./whisper-large-v3-turbo using mlx-audio version 0.2.10. Refer to the original model card for more details on the model.

Use with mlx-audio

pip install -U mlx-audio

CLI Example:

    python -m mlx_audio.stt.generate --model mlx-community/whisper-large-v3-turbo-asr-fp16 --audio "audio.wav"

Python Example:

    from mlx_audio.stt.utils import load_model
    from mlx_audio.stt.generate import generate_transcription
    model = load_model("mlx-community/whisper-large-v3-turbo-asr-fp16")
    transcription = generate_transcription(
        model=model,
        audio_path="path_to_audio.wav",
        output_path="path_to_output.txt",
        format="txt",
        verbose=True,
    )
    print(transcription.text)

Contributors

prince-canuma

2 commits

mlx-community/whisper-large-v3-turbo-asr-fp16

Model

6

stars

2

commits

8

repos using this model

5

linked in READMEs

Jan 13, 2026

updated

mlx
safetensors
speech
speech generation
speech-to-speech
speech-to-text
stt
whisper

README

mlx-community/whisper-large-v3-turbo-asr-fp16

This model was converted to MLX format from ./whisper-large-v3-turbo using mlx-audio version 0.2.10. Refer to the original model card for more details on the model.

Use with mlx-audio

pip install -U mlx-audio

CLI Example:

    python -m mlx_audio.stt.generate --model mlx-community/whisper-large-v3-turbo-asr-fp16 --audio "audio.wav"

Python Example:

    from mlx_audio.stt.utils import load_model
    from mlx_audio.stt.generate import generate_transcription
    model = load_model("mlx-community/whisper-large-v3-turbo-asr-fp16")
    transcription = generate_transcription(
        model=model,
        audio_path="path_to_audio.wav",
        output_path="path_to_output.txt",
        format="txt",
        verbose=True,
    )
    print(transcription.text)

Contributors

prince-canuma

2 commits