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---
inference: false
language:
- ja
- en
- de
- is
- zh
- cs
---
# webbigdata/ALMA-7B-Ja
Original ALMA Model [ALMA-7B](https://huggingface.co/haoranxu/ALMA-7B). (26.95GB)
ALMA-7B-Ja is a machine translation model that uses ALMA's learning method to translate Japanese to English.(13.3GB)
The original ALMA-7B 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](https://huggingface.co/haoranxu/ALMA-13B).
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](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_Free_Colab_sample.ipynb)
If you want to translate the entire file at once, try Colab below.
[ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample.ipynb)
There is also a GPTQ quantized version model that reduces model size(3.9GB) and memory usage, although the performance is probably lower.
And translation ability for languages other than Japanese and English has deteriorated significantly.
[webbigdata/ALMA-7B-Ja-GPTQ-Ja-En](https://huggingface.co/webbigdata/ALMA-7B-Ja-GPTQ-Ja-En)
**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) 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](https://arxiv.org/abs/2309.11674).
```
@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
- **This work was done by :** [webbigdata](https://webbigdata.jp/). |