Model Merging for LRL
Collection
11 items
•
Updated
•
2
A continually pre-trained model based on Llama-2-7b-hf.
We use the Bengali texts in IndicCorp-v2 and English texts in RedPajama with a proportion of 4:1 for training.
If you find this model is useful in your work, please cite it with:
@inproceedings{tao-etal-2024-unlocking,
title = "Unlocking the Potential of Model Merging for Low-Resource Languages",
author = "Tao, Mingxu and
Zhang, Chen and
Huang, Quzhe and
Ma, Tianyao and
Huang, Songfang and
Zhao, Dongyan and
Feng, Yansong",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.508",
doi = "10.18653/v1/2024.findings-emnlp.508",
pages = "8705--8720"
}
Base model
meta-llama/Llama-2-7b-hf