Initialize environment:
conda create -n villm python=3.10
conda activate villm
Install PyTorch (with CUDA 12.1): Recommended: Visit the official PyTorch website (https://pytorch.org/) for the most up-to-date instructions. Alternative (if you have CUDA 12.1 set up):
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
Install custom dependencies:
pip install -e ./blanc
Install package:
pip install -e .
vieval --wtype hf \
--model_name ura-hcmut/MixSUra \
--dataset_name zalo_e2eqa \
--prompting_strategy 0 \
--fewshot_prompting True \
--ptemplate mistral \
--seed 42
vieval --wtype tgi \
--model_name ura-hcmut/MixSUra \
--dataset_name zalo_e2eqa \
--prompting_strategy 0 \
--fewshot_prompting True \
--seed 42 \
--ptemplate mistral \
--tgi http://127.0.0.1:10025
vieval --wtype azuregpt \
--model_name gpt-4 \
--dataset_name zalo_e2eqa \
--prompting_strategy 0 \
--fewshot_prompting True \
--seed 42
vieval --wtype gemini \
--model_name gemini-pro \
--dataset_name zalo_e2eqa \
--prompting_strategy 0 \
--fewshot_prompting True \
--seed 42
@inproceedings{crossing2024,
title = "Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models",
author = "Truong, Sang T. and Nguyen, Duc Q. and Nguyen, Toan D. V. and Le, Dong D. and Truong, Nhi N. and Quan, Tho and Koyejo, Sanmi",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = June,
year = "2024",
address = "Seattle, Washington",
publisher = "Association for Computational Linguistics",
url = "",
pages = "",
}