Hugging Face's logo

webbigdata
/
ALMA-7B-Ja

Text Generation
Transformers
PyTorch
Safetensors
llama
text-generation-inference
Model card Files Community
2
ALMA-7B-Ja / README.md
dahara1's picture
dahara1
Update README.md
4ccfb8a verified
preview code
|
raw
history blame
4.59 kB
metadata
inference: false
language:
  - ja
  - en
  - de
  - is
  - zh
  - cs

New Version has been released.

2024/03/04
webbigdata/C3TR-Adapter
Memory GPU requirement has increased to 8.1 GB. However, it is possible to run it with the free version of Colab and the performance is much improved!

2023/10/21
ALMA-7B-Ja-V2
Overall performance has been raised.

Below is a description of the old version. We urge you to try the newer version above.

webbigdata/ALMA-7B-Ja

ALMA-7B-Ja(13.3GB) is a machine translation model that uses ALMA's learning method to translate Japanese to English.
The original ALMA-7B (26.95GB) supports English and Russian(ru) translation. This model supports Japanese(ja) and English translations instead of Russian.

Like the original model, This model has been verified that it also has a translation ability between the following languages, but if you want the translation function for these languages, it is better to use the original ALMA-13B model.

  • German(de) and English(en)
  • Chinese(zh) and English(en)
  • Icelandic(is) and English(en)
  • Czech(cs) and English(en)

Translating from English (en→xx) BLEU/COMET

Models de cs is zh ru/jp Avg.
NLLB-54B 34.50/86.45 37.60/90.15 24.15/81.76 27.38/78.91 30.96/87.92 30.92/85.04
GPT-3.5-D 31.80/85.61 31.30/88.57 15.90/76.28 38.30/85.76 27.50/86.74 28.96/84.59
ALMA-7B(Original) 30.31/85.59 29.88/89.10 25.71/85.52 36.87/85.11 27.13/86.98 29.89/86.49
ALMA-7B-Ja(Ours) 23.70/82.04 18.58/81.36 12.20/71.59 29.06/82.45 14.82/85.40 19.67/80.57

Translating to English (xx→en) BLEU/COMET

Models de cs is zh ru/jp Avg.
NLLB-54B 26.89/78.94 39.11/80.13 23.09/71.66 16.56/70.70 39.11/81.88 28.95/76.66
GPT-3.5-D 30.90/84.79 44.50/86.16 31.90/82.13 25.00/81.62 38.50/84.80 34.16/83.90
ALMA-7B(Original) 30.26/84.00 43.91/85.86 35.97/86.03 23.75/79.85 39.37/84.58 34.55/84.02
ALMA-7B-Ja(Ours) 26.41/83.13 34.39/83.50 24.77/81.12 20.60/78.54 15.57/78.61 24.35/81.76

Sample Code For Free Colab

Other Version

webbigdata-ALMA-7B-Ja-gguf

mmnga made llama.cpp(gguf) version webbigdata-ALMA-7B-Ja-gguf. Thank you!
llama.cpp is a tool used primarily on Macs, and gguf is its latest version format. It can be used without gpu.

ALMA-7B-Ja-gguf Free Colab sample

ALMA-7B-Ja-GPTQ-Ja-En

GPTQ is quantized(reduce the size of the model) method and ALMA-7B-Ja-GPTQ has GPTQ quantized version that reduces model size(3.9GB) and memory usage.
But the performance is probably lower. And translation ability for languages other than Japanese and English has deteriorated significantly.

Sample Code For Free Colab webbigdata/ALMA-7B-Ja-GPTQ-Ja-En

If you want to translate the entire file at once, try Colab below.
ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample

ALMA (Advanced Language Model-based trAnslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures strong translation performance. Please find more details in their paper.

@misc{xu2023paradigm,
      title={A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models}, 
      author={Haoran Xu and Young Jin Kim and Amr Sharaf and Hany Hassan Awadalla},
      year={2023},
      eprint={2309.11674},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

about this work