Automatic Speech Recognition
MLX
Safetensors
English
cohere_asr
speech-to-text
audio
quantized
8bit
custom_code
8-bit precision
Instructions to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir cohere-transcribe-03-2026-mlx-8bit beshkenadze/cohere-transcribe-03-2026-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
docs: refresh parity note and validation status
Browse files
README.md
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---
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library_name: mlx
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tags:
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- automatic-speech-recognition
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- speech-to-text
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- audio
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- mlx
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- safetensors
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license: other
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---
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# cohere-transcribe-03-2026-mlx-8bit
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Quantized MLX weights for **beshkenadze/cohere-transcribe-03-2026-mlx-fp16**.
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- Peak memory: **2.87 GB**
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- Output: `Coffee's story likely begins in Ethiopia, where legend tells of a goat herder named Kaldi, who noticed his goats became energetic after eating red berries from a particular bush; curious, he tried them himself and felt invigorated.`
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## Quality note
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Matches fp16 on the repo sample while reducing memory substantially.
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# cohere-transcribe-03-2026-mlx-8bit
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Quantized MLX weights for **beshkenadze/cohere-transcribe-03-2026-mlx-fp16**.
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- Peak memory: **2.87 GB**
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- Output: `Coffee's story likely begins in Ethiopia, where legend tells of a goat herder named Kaldi, who noticed his goats became energetic after eating red berries from a particular bush; curious, he tried them himself and felt invigorated.`
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## Parity note
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This checkpoint has been re-validated against the current Swift and Python MLX runtimes.
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Verified semantic parity on an English fixture:
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> `This is a test recording in English. I am speaking clearly at a normal speed. Please transcribe this sentence exactly as I said.`
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Matched across:
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- Swift MLX fp16
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- Swift MLX 8-bit
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- Python MLX fp16
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- Python MLX 8-bit
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- official CUDA reference path (`transformers` native Cohere ASR)
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## Quality note
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Matches fp16 on the repo sample while reducing memory substantially.
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