---
license: apache-2.0
language:
- ja
---
# Leia-Swallow-7B

LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
This model is constructed by applying LEIA to Swallow, a Japanese-English bilingual LLM based on LLaMA 2.
The model achieves enhanced performance on six Japanese question-answering benchmarks, as reported below.

Please refer to our paper or blog post (in Japanese) for further technical details.

- [LEIA: Facilitating Cross-Lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation](https://arxiv.org/abs/2402.11485) (arxiv.org)
- [LEIA: 言語間転移学習でLLMを賢くする新しい方法](#) (zenn.dev)

## Model List

- [Leia-Swallow-7b](https://huggingface.co/leia-llm/Leia-Swallow-7b/)
- [Leia-Swallow-13b](https://huggingface.co/leia-llm/Leia-Swallow-13b/)

## Empirical Results

The model is assessed using the following six question answering benchmarks:
- X-CODAH
- X-CSQA
- JCommonsenseQA
- NIILC
- JEMHopQA
- JAQKET v2

| Model | X-CODAH | X-CSQA | JCommonsenseQA | NIILC | JEMHopQA | JAQKET v2 |
| ---- | ---- | ---- | ---- | ---- | ---- | ---- |
| Swallow |　42.0　| 41.0 | 80.3 | 59.5 | 50.8 | 86.2 |
| LEIA | **42.7** | **42.4** | **80.6** | **60.3** | **54.7** | **86.5** |

For further details of this experiment, please refer to [our paper](https://arxiv.org/abs/2402.11485).

## Contributors

- Ikuya Yamada (Studio Ousia, RIKEN)
- Ryokan Ri (LY Corporation, SB Intuitions)