Instructions to use PMTC/Breeze-ASR-25-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PMTC/Breeze-ASR-25-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download PMTC/Breeze-ASR-25-mlx-fp16 --local-dir Breeze-ASR-25-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Breeze-ASR-25 — MLX fp16
fp16 conversion of MediaTek-Research/Breeze-ASR-25
(a Whisper-large-v2 fine-tune for Taiwanese Mandarin, English, and Mandarin–English code-switching) into the mlx-community/whisper-* layout, for on-device use in
SettleVoice via mlx-audio-swift.
Changes from upstream: weights cast to float16 and renamed to mlx_whisper keys (encoder.blocks.N.attn.query,
decoder.positional_embedding, conv weights as [out, kernel, in]), encoder sinusoidal positions dropped, and a
tokenizer.json generated from upstream vocab.json + merges.txt (upstream ships none). No weights were altered
beyond the dtype cast. Model behaviour, limitations and license (Apache 2.0) are MediaTek Research's; see the upstream card.
Conversion script: scripts/convert_whisper_hf_to_mlx.py in the SettleVoice repo.
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Model tree for PMTC/Breeze-ASR-25-mlx-fp16
Base model
openai/whisper-large-v2