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MOSS-Transcribe-Diarize-mlx-8bit
ziyu12345/MOSS-Transcribe-Diarize-mlx-8bit
MOSS-Transcribe-Diarize-mlx-8bit is a automatic speech recognition model from ziyu12345. Use it when you need speech turned into text.
MOSS-Transcribe-Diarize 0.9B is an end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness.
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480M
1.3 GB on disk
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.safetensors1.3 GB · 99%
Parameter types
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BF16331M · 69%
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Model card
From the Hugging Face model README
MOSS-Transcribe-Diarize-mlx-8bit
MOSS-Transcribe-Diarize 0.9B is an end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness.
8-bit MLX quantization of OpenMOSS-Team/MOSS-Transcribe-Diarize
Usage
import mlx_audio.stt as stt
model_id = "ziyu12345/MOSS-Transcribe-Diarize-mlx-8bit"
model = stt.load(model_id)
result = model.generate("test_asr.wav", language="English")
print(result.text)
for segment in result.segments:
print(f"[{segment['start']:.2f}s - {segment['end']:.2f}s] Speaker {segment['speaker_id']}: {segment['text']}")
- Task
- Automatic Speech Recognition
- Type
- moss_transcribe_diarize
- Created
- Jul 20, 2026
- Updated
- Jul 21, 2026