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Cohere Transcribe Mlx 8bit

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,...

TipoText modelModelo baseCohereLabs/cohere-transcribe-03-2026Versiónmodel

Fuente del modelo

Tipo
Text model
Tamaño del archivo
2,25 GB
Modelo base
CohereLabs/cohere-transcribe-03-2026
Versión
vmodel
Actualizado
13 sept 2026
Descargas
134
Fuente
Hugging Face

Descripción de la fuente

littoralai/cohere-transcribe-mlx-8bit

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.

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. Changes vs. the source: fp16 MLX conversion, then 8-bit affine quantization.

Integrity

model.safetensors sha256 aadaf8d3388975853385400c9bd8dee92a71e12a83860f35bebaac345aa8af93

Use with mlx-audio

python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-8bit \
  --audio audio.wav --output out

Fuentes

1 fuente
Hugging FacePrincipalVersión b3f1f6b5fb5ae1bd17c9be2bcd85806339890450
huggingface.co/littoralai/cohere-transcribe-mlx-8bit/tree/b3f1f6b5fb5ae1bd17c9be2bcd85806339890450

Verificado 13 sept

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 2,25 GB · SHA-256 aadaf8d33889…af93 · Hugging Face

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Extractos de fuentes

2 extractos

--- library_name: mlx tags: - mlx - automatic-speech-recognition - audio - speech-recognition - transcription - cohere_asr - custom_code language: - multilingual license: apache-2.0 pipeline_tag: automatic-speech-recognition base_model: CohereLabs/cohere-transcribe-03-2026 base_model_relation: quantized --- # littoralai/cohere-transcribe-mlx-8bit 8-bit MLX quantization of [CohereLabs/cohere-transcribe-03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026), via the MLX fp16 conversion at [littoralai/cohere-transcribe-mlx-fp16](https://huggingface.co/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. ## 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. Changes vs. the source: fp16 MLX conversion, then 8-bit affine quantization. ## Integrity `model.safetensors` sha256 `aadaf8d3388975853385400c9bd8dee92a71e12a83860f35bebaac345aa8af93` ## Use with mlx-audio ```bash python -m mlx_audio.stt.generate --model littoralai/cohere-transcribe-mlx-8bit \ --audio audio.wav --output out ```

Source context: 134 downloads · 0 likes · Pipeline automatic-speech-recognition · Library mlx · Repo littoralai/cohere-transcribe-mlx-8bit