---
title: Pruned NLLB ExecutorTorch Model
emoji: 🌍
colorFrom: blue
colorTo: purple
sdk: docker
sdk_version: latest
app_file: app.py
pinned: false
license: cc-by-nc-4.0
---

# Pruned NLLB ExecutorTorch Model

This is a pruned version of the NLLB-200 model exported to ExecutorTorch (.pte) format for mobile deployment.

## Model Information

- **Base Model**: NLLB-200-distilled-600M
- **Format**: ExecutorTorch (.pte)
- **Pruned Languages**: eng_Latn, deu_Latn, als_Latn, ell_Grek, ita_Latn, tur_Latn
- **Quantization**: No (FP32)
- **Purpose**: On-device translation for mobile applications

## Files

- `nllb_model.pte` - ExecutorTorch model file
- `tokenizer.json` - Tokenizer configuration
- Other supporting files

## Usage

This model is designed for use with `react-native-executorch` in mobile applications.

```javascript
import { useExecutorchModule } from 'react-native-executorch';

const model = useExecutorchModule({
  modelSource: require('./nllb_model.pte'),
});
```

## Supported Languages

The model supports translation between the following languages:

- eng_Latn
- deu_Latn
- als_Latn
- ell_Grek
- ita_Latn
- tur_Latn

## License

This model follows the license of the base NLLB-200 model (CC-BY-NC-4.0).

## Citation

If you use this model, please cite the original NLLB paper:

```bibtex
@article{nllb2022,
  title={No Language Left Behind: Scaling Human-Centered Machine Translation},
  author={Costa-jussà, Marta R. and Cross, James and Çelebi, Onur and others},
  journal={arXiv preprint arXiv:2207.04672},
  year={2022}
}
```