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Abddar/muaalem-v3-2-int8-android-onnx
muaalem-v3-2-int8-android-onnx is a automatic speech recognition model from Abddar. Use it when you need speech turned into text. It is set up for onnxruntime. The card lists the license as mit.
This repository hosts the Android-ready single-file INT8 ONNX artifact used by the azaniwqiblati offline Quran recitation and tajweed feedback feature.
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Updated Aug 13, 2026
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From the Hugging Face model README
This repository hosts the Android-ready single-file INT8 ONNX artifact used by
the azani_w_qiblati offline Quran recitation and tajweed feedback feature.
obadx/muaalem-model-v3_201a1ef9fbe40d144ef845101e89ff924aed3fef5obadx/quran-muaalemThe source artifact was already dynamically quantized to INT8. This Android
package only embeds the external ONNX initializer data into one .onnx file:
onnx.load(load_external_data=True)
+ convert_model_from_external_data
+ onnx.save_model(save_as_external_data=False)
It was not requantized or graph-optimized. The mathematical graph is unchanged.
| File | Size | SHA-256 |
|---|---|---|
muaalem_tajweed_int8.onnx | 876,466,434 bytes | 3ef7f9760b54161d876b5866fccd19cbcc7b793386753f515395f2d5012e9f96 |
The consuming application verifies both the exact byte count and SHA-256 before promoting a completed download. Interrupted downloads can resume using HTTP Range requests.
This artifact is intended for on-device ONNX Runtime inference on Android. It does not include a hosted inference API. The surrounding application supplies the pinned preprocessing, vocabularies, decoding, Quran reference text, and tajweed feedback logic.
All model credit belongs to the Quran Muaalem authors and contributors. This repository provides a deployment-oriented repackaging of their MIT-licensed model for offline Android use.