atsuki-yamaguchi / bloom-1b1-focus-de

huggingface.co
Total runs: 18
24-hour runs: 0
7-day runs: 6
30-day runs: 11
Model's Last Updated: December 06 2025
text-generation

Introduction of bloom-1b1-focus-de

Model Details of bloom-1b1-focus-de

BLOOM-1B German [LAPT + FOCUS]

How to use
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer

model = AutoPeftModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/bloom-1b1-focus-de"
)
tokenizer = AutoTokenizer.from_pretrained(
    "atsuki-yamaguchi/bloom-1b1-focus-de"
)

# w/ GPU
model = AutoPeftModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/bloom-1b1-focus-de",
    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 bloom-1b1-focus-de on huggingface.co

18
Total runs
0
24-hour runs
0
3-day runs
6
7-day runs
11
30-day runs

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atsuki-yamaguchi bloom-1b1-focus-de online free

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atsuki-yamaguchi bloom-1b1-focus-de online free url in huggingface.co:

https://huggingface.co/atsuki-yamaguchi/bloom-1b1-focus-de

bloom-1b1-focus-de install

bloom-1b1-focus-de is an open source model from GitHub that offers a free installation service, and any user can find bloom-1b1-focus-de on GitHub to install. At the same time, huggingface.co provides the effect of bloom-1b1-focus-de install, users can directly use bloom-1b1-focus-de installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

bloom-1b1-focus-de install url in huggingface.co:

https://huggingface.co/atsuki-yamaguchi/bloom-1b1-focus-de

Url of bloom-1b1-focus-de

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atsuki-yamaguchi
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