atsuki-yamaguchi / tigerbot-7b-base-clpp-ja

huggingface.co
Total runs: 12
24-hour runs: -1
7-day runs: -5
30-day runs: -5
Model's Last Updated: December 06 2025
text-generation

Introduction of tigerbot-7b-base-clpp-ja

Model Details of tigerbot-7b-base-clpp-ja

TigerBot-7B Japanese [LAPT + CLP+]

How to use
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer

model = AutoPeftModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/tigerbot-7b-base-clpp-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
    "atsuki-yamaguchi/tigerbot-7b-base-clpp-ja"
)

# w/ GPU
model = AutoPeftModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/tigerbot-7b-base-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

Runs of atsuki-yamaguchi tigerbot-7b-base-clpp-ja on huggingface.co

12
Total runs
-1
24-hour runs
-4
3-day runs
-5
7-day runs
-5
30-day runs

More Information About tigerbot-7b-base-clpp-ja huggingface.co Model

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tigerbot-7b-base-clpp-ja huggingface.co is an AI model on huggingface.co that provides tigerbot-7b-base-clpp-ja's model effect (), which can be used instantly with this atsuki-yamaguchi tigerbot-7b-base-clpp-ja model. huggingface.co supports a free trial of the tigerbot-7b-base-clpp-ja model, and also provides paid use of the tigerbot-7b-base-clpp-ja. Support call tigerbot-7b-base-clpp-ja model through api, including Node.js, Python, http.

atsuki-yamaguchi tigerbot-7b-base-clpp-ja online free

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https://huggingface.co/atsuki-yamaguchi/tigerbot-7b-base-clpp-ja

tigerbot-7b-base-clpp-ja install

tigerbot-7b-base-clpp-ja is an open source model from GitHub that offers a free installation service, and any user can find tigerbot-7b-base-clpp-ja on GitHub to install. At the same time, huggingface.co provides the effect of tigerbot-7b-base-clpp-ja install, users can directly use tigerbot-7b-base-clpp-ja installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

tigerbot-7b-base-clpp-ja install url in huggingface.co:

https://huggingface.co/atsuki-yamaguchi/tigerbot-7b-base-clpp-ja

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atsuki-yamaguchi
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