metadata
license: mit
language: ja
Mistral-7B Japanese [LAPT + CLP+]
How to use
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clpp-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clpp-ja"
)
# w/ GPU
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clpp-ja",
device_map="auto",
load_in_8bit=True,
)
Citation
@article{yamaguchi2024empirical,
title={An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative {LLM} Inference},
author={Atsuki Yamaguchi and Aline Villavicencio and Nikolaos Aletras},
journal={ArXiv},
year={2024},
volume={abs/2402.10712},
url={https://arxiv.org/abs/2402.10712}
}
Link
For more details, please visit https://github.com/gucci-j/llm-cva