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
File size: 1,804 Bytes
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language:
- en
license: apache-2.0
pipeline_tag: automatic-speech-recognition
library_name: mlx
tags:
- mlx
- automatic-speech-recognition
- speech-to-text
- audio
- cohere_asr
- quantized
- 8bit
base_model:
- CohereLabs/cohere-transcribe-03-2026
---
# cohere-transcribe-03-2026-mlx-8bit
Quantized MLX weights for **beshkenadze/cohere-transcribe-03-2026-mlx-fp16**.
## Variant
- Precision: **8-bit**
- Quantization mode: `affine`
- Group size: `64`
## Files
- `model.safetensors`
- `config.json`
- `tokenizer.model`
- `tokenizer_config.json`
- `preprocessor_config.json`
- `special_tokens_map.json`
- `key_map.json`
- `conversion_summary.json`
## Repo-sample benchmark
Sample: `Tests/media/conversational_a.wav`
- Generation TPS: **352.9**
- Peak memory: **2.87 GB**
- 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.`
## Parity note
This checkpoint has been re-validated against the current Swift and Python MLX runtimes.
Verified semantic parity on an English fixture:
> `This is a test recording in English. I am speaking clearly at a normal speed. Please transcribe this sentence exactly as I said.`
Matched across:
- Swift MLX fp16
- Swift MLX 8-bit
- Python MLX fp16
- Python MLX 8-bit
- official CUDA reference path (`transformers` native Cohere ASR)
## Quality note
Matches fp16 on the repo sample while reducing memory substantially.
## Notes
- Generated from the Swift-compatible fp16 checkpoint `beshkenadze/cohere-transcribe-03-2026-mlx-fp16`.
- This repository contains inference artifacts only. Refer to the upstream Cohere model card and license for original model details.
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