This repository contains a quantized MLX packaging of MoulSot v0.3, the Moroccan Darija ASR model used by Nassem for local transcription workflows.

Model summary

Base model: Qwen/Qwen3-ASR-1.7B
Task: Automatic Speech Recognition
Languages: Moroccan Darija, Arabic, French, English
Format: MLX quantized model package for local inference
License: Apache-2.0

Intended use

This model is intended for local, offline transcription of Moroccan Darija and code-switched speech inside the Nassem workflow.

Notes

The repo is private.
The files in this repository are the quantized model artifacts, not a hosted inference endpoint.
Use this model in the app after it has been downloaded to the device or local runtime storage.

Quick start

Install the MLX ASR helper package and load the model:

uv pip install mlx-audio

python

from mlx_audio.stt.utils import load

model = load("kamalaitbrahim/nassem-asr-darija")
result = model.generate("your_audio.wav")
print(result.text)

Limitations

Performance may vary with noisy audio, accents, and extreme code-switching.
This repository does not provide a cloud inference API.

License

Apache-2.0