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littoralai/cohere-transcribe-mlx-8bit
cohere-transcribe-mlx-8bit is a automatic speech recognition model from littoralai. Use it when you need speech turned into text. It is set up for mlx. The card lists the license as apache-2.0.
8-bit MLX quantization of CohereLabs/cohere-transcribe-03-2026, via the MLX fp16 conversion at littoralai/cohere-transcribe-mlx-fp16. Quantized with mlx-audio (8-bit, group size 64, affine). No architecture,
Downloads · 30 days
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.safetensors2.4 GB · 100%
How the weights are stored.
U321.8B · 88%
From the Hugging Face model README
8-bit MLX quantization of CohereLabs/cohere-transcribe-03-2026, via the MLX fp16 conversion at littoralai/cohere-transcribe-mlx-fp16. Quantized with mlx-audio (8-bit, group size 64, affine). No architecture, vocabulary, or training changes. See the base model card for capabilities, training details, and evaluations.
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. Changes vs. the source: fp16 MLX conversion, then
8-bit affine quantization.
model.safetensors sha256
aadaf8d3388975853385400c9bd8dee92a71e12a83860f35bebaac345aa8af93
python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-8bit \
--audio audio.wav --output out