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Breeze-ASR-25-mlx
Kenji8000/Breeze-ASR-25-mlx
Breeze-ASR-25-mlx is a automatic speech recognition model from Kenji8000. Use it when you need speech turned into text. It is set up for mlx. The card lists the license as apache-2.0.
This model was converted to MLX format from MediaTek-Research/Breeze-ASR-25.
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.safetensors3.1 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- mlx
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Mar 30, 2026
- Updated
- Mar 30, 2026
- SHA
- 56b85083
Base models
Model card
From the Hugging Face model README
Breeze-ASR-25-mlx
This model was converted to MLX format from MediaTek-Research/Breeze-ASR-25.
Breeze ASR 25 is an advanced ASR model fine-tuned from Whisper-large-v2, optimized for Taiwanese Mandarin and Mandarin-English code-switching scenarios.
Key Features
- Traditional Chinese direct output (no OpenCC post-processing needed)
- Mandarin-English code-switching: 55.9% WER reduction vs Whisper-large-v2
- Taiwanese Mandarin optimized: CommonVoice16-zh-TW WER 7.97 (vs 9.84 baseline)
- MLX native: runs on Apple Silicon GPU via Metal
Use with mlx-whisper
pip install mlx-whisper
import mlx_whisper
result = mlx_whisper.transcribe(
"audio.wav",
path_or_hf_repo="Kenji8000/Breeze-ASR-25-mlx",
language="zh",
)
print(result["text"])
Performance
Tested on Mac Studio M2 Ultra 128GB, mlx-whisper 0.4.3, mlx 0.31.1:
| Metric | Value |
|---|---|
| RTF (Real-Time Factor) | 0.08x |
| Inference (model cached) | 0.52s for 6.3s audio |
| Memory (RSS) | ~3.1 GB |
Conversion
Converted using mlx-examples/whisper/convert.py with dtype float16.
python convert.py --torch-name-or-path MediaTek-Research/Breeze-ASR-25 \
--mlx-path mlx_models/breeze-asr-25 --dtype float16
# Note: rename output model.safetensors → weights.safetensors for mlx-whisper
Original Model
- Base: openai/whisper-large-v2
- Fine-tuned by: MediaTek Research
- License: Apache 2.0
- Paper: arXiv:2506.11130
- Task
- Automatic Speech Recognition
- Library
- mlx
- Type
- whisper
- License
- apache-2.0
- Languages
- zh, en
- Created
- Mar 30, 2026
- Updated
- Mar 30, 2026