Instructions to use Burtinsaw/avarnlp-nllb-600m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Burtinsaw/avarnlp-nllb-600m with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,802 Bytes
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language:
- av
- tr
license: apache-2.0
base_model: facebook/nllb-200-distilled-600M
tags:
- translation
- nllb
- avar
- low-resource
- endangered-language
- lora
- peft
pipeline_tag: translation
---
# AvarNLP — NLLB-600M Fine-tuned for Avar-Turkish Translation
The world's first machine translation model for the **Avar language** (МагIарул мацI).
## Model Description
This model is a LoRA fine-tuned version of [Meta's NLLB-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M), trained on an evolutionarily generated Avar-Turkish parallel corpus.
- **Base model:** facebook/nllb-200-distilled-600M
- **Fine-tuning method:** LoRA (Low-Rank Adaptation) via PEFT
- **Training data:** Evolved from ~1K seed pairs using genetic algorithms
- **Directions:** Avar → Turkish, Turkish → Avar
## About the Avar Language
| | |
|---|---|
| **Name** | Avar (МагIарул мацI) |
| **Family** | Northeast Caucasian (Nakh-Dagestanian) |
| **Speakers** | ~800,000 |
| **Region** | Dagestan (Russia), Turkey, Europe |
| **UNESCO Status** | Definitely Endangered |
| **Digital Resources** | Virtually none |
## Status
🚧 **Under active development** — model not yet trained. Check back soon or follow this repo for updates.
## Links
- **Code:** [github.com/Burtinsaw/AvarNLP](https://github.com/Burtinsaw/AvarNLP)
- **Dataset:** [Burtinsaw/avar-turkish-parallel](https://huggingface.co/datasets/Burtinsaw/avar-turkish-parallel)
- **Project:** [MagaruLaw.com](https://magarulaw.com)
## Citation
```bibtex
@software{avarnlp2026,
title = {AvarNLP: Self-Evolving AI for the Endangered Avar Language},
author = {Arif Akgun},
url = {https://github.com/Burtinsaw/AvarNLP},
year = {2026},
license = {MIT}
}
```
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