littoralai/cohere-transcribe-mlx-fp16

fp16 MLX conversion of CohereLabs/cohere-transcribe-03-2026 (source revision b1eacc2686a3d08ceaae5f24a88b1d519620bc09), converted with mlx-audio. No architecture, vocabulary, or training changes. See the base model card for capabilities, training details, and evaluations.

License

Apache-2.0, from the base model. The custom architecture code (modeling_cohere_asr.py, configuration_cohere_asr.py, processing_cohere_asr.py, tokenization_cohere_asr.py) is Cohere's, redistributed unchanged. Change vs. the source: fp16 MLX conversion.

Integrity

model.safetensors sha256 dab83b01ee41b929f2f644aa9ecb388db1359f9f7e1d6db64b6c35def30ab9ba

Use with mlx-audio

python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-fp16 \
  --audio audio.wav --output out

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Safetensors

Model size

2B params

Tensor type

BF16

MLX

Hardware compatibility

Quantized

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Base model

CohereLabs/cohere-transcribe-03-2026

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