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atsuki-yamaguchi/tigerbot-7b-base-random-de
tigerbot-7b-base-random-de is a text generation model from atsuki-yamaguchi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Downloads · 30 days
18
9% of all-time downloads
All-time downloads
203
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.safetensors30.1 GB · 100%
How the weights are stored.
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From the Hugging Face model README
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-random-de"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-random-de"
)
# w/ GPU
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-random-de",
device_map="auto",
load_in_8bit=True,
)
@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}
}
For more details, please visit https://github.com/gucci-j/llm-cva