Instructions to use BRlin/Breeze-ASR-25-mlx-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use BRlin/Breeze-ASR-25-mlx-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Breeze-ASR-25-mlx-bf16 BRlin/Breeze-ASR-25-mlx-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Breeze-ASR-25 · MLX — superseded
Use BRlin/Breeze-ASR-25-mlx-fp16
instead. A 4-bit build is also available at
BRlin/Breeze-ASR-25-mlx-4bit.
This repository remains available so that existing references keep working. It is not being updated.
Why it was replaced
The name is wrong. The weights here are float16, not bfloat16. They were converted with
mlx_audio.convert --dtype bfloat16, which prints [INFO] Converting to bfloat16 but does
not apply the requested dtype on the non-quantizing path — the cast is written to a variable
that is discarded before the file is saved. The mistake was ours for trusting the flag
rather than inspecting the output.
float16 is in fact the correct target for this model: mlx-whisper accepts only float16 or
float32, and rejects bfloat16 outright. So the weights themselves were never the problem.
The layout served only one runtime. config.json here carries the HuggingFace
transformers schema, which mlx-whisper cannot parse — it expects its own ten-field
ModelDimensions schema and raises TypeError on anything else. This repository therefore
loads in mlx-audio but not in mlx-whisper.
What the replacement changes
The weights in BRlin/Breeze-ASR-25-mlx-fp16
are byte-identical to the ones here. If you already have this repository, you have the
correct model; you do not need to re-download for correctness.
What changed is the packaging and the documentation:
config.jsonrewritten into the MLX schema, so bothmlx-whisperandmlx-audioload it- the name states the actual dtype
- evaluation against the figures the upstream authors publish, on public datasets, with the scoring method stated
- Downloads last month
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Quantized
Model tree for BRlin/Breeze-ASR-25-mlx-bf16
Base model
openai/whisper-large-v2