---
license: apache-2.0
language:
- ja
base_model:
- Qwen/Qwen2-7B
pipeline_tag: text-generation
library_name: transformers
---

# Moriyasu_Qwen2_JP_7B

### Model Description

**Moriyasu_Qwen2_JP_7B** is a is a large language model trained by Moriyasu. Based on [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B), it has been enhanced for Japanese usage through additional pre-training and instruction tuning.  

# Training Datasets

### Pre-training dataset

The model is continually pre-trained on Japanese data from the Qwen2-7b model while maintaining the model's English ability (80% Japanese, 20% English). We use about 120 billion tokens sampled from, Japanese and English Wikipedia articles, Japanese CC-100 Japanese C4, Japanese OSCAR ,The Pile, Webfined, Japanese websites, book data, mathematics and code,...

### Instruction Tuning
We generated about 1 million Instruction data from various methods such as generated data, translated data, and data manually tagged by humans.

# Model Performance

### JGLUE tasks
We used the [lm-evaluation-harness](https://github.com/Stability-AI/lm-evaluation-harness/tree/jp-stable) repo to evaluate across 8 tasks, and the results are as follows:


|Model|JCommonsenseQA|JNLI|JMARC|JSQuAD|JAQKET-V2|XL-SUM|XWINOGRAD|MGSM|JA AVG|
|---|---|---|---|---|---|---|---|---|---|
|   |3-shot|3-shot|0-shot|2-shot|1-shot|1-shot|0-shot|5-shot|   |
|   |Acc.|Balanced Acc.|Balanced Acc.|Char-F1|Char-F1|ROUGE-2|Acc.|Acc.|   |
| Moriyasu_Qwen2_JP_7B (OURS) | **94.91** | **91.11** | 95.50 | 87.48 | 89.24 | 19.66 | **82.38** | 55.60 | **76.99** | 
| Qwen2-7B-Instruct | 90.80 | 78.07 | 93.29 | 92.90 | 83.34 | 19.05 | 72.16 | **61.20** | 73.85 | 
| SakanaAI/EvoLLM-JP-v1-7B | 89.19 | 66.02 | 95.55 | 92.10 | 86.41 | **23.31** | 81.65 | 47.60 | 72.73 |
| Llama-3-ELYZA-JP-8B |92.40 | 64.85 | **95.67** | 92.04 | 87.43 | 21.35 | 78.21 | 49.20 | 72.64 |
| Llama-3-Swallow-8B-Instruct-v0.1 | 92.49 | 62.12 | 94.27 | **93.73** | **90.83** | 19.61 | 74.04 | 50.00 | 72.14 | 
| Tanuki-8B-dpo-v1.0| 79.18 | 43.05 | 92.26 | 82.29 | 77.99 | 11.68 | 70.39 | 43.60 | 62.56 | 


### Japanese tasks

For this evaluation, we used [swallow-evaluation](https://github.com/swallow-llm/swallow-evaluation) repo to evaluate our model.
The results of other models are taken from the report
[Llama-3.1-Swallow-8B-Instruct-v0.2](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2) .

|Model|JCom.|JEMHopQA|NIILC|JSQuAD|XL-Sum|MGSM|WMT20-en-ja|WMT20-ja-en|JMMLU|JHumanEval|Ja Avg|
|---|---|---|---|---|---|---|---|---|---|---|---|
|   |4-shot|4-shot|4-shot|4-shot|1-shot|4-shot|4-shot|4-shot|5-shot|0-shot|   |
|   |EM acc|Char-F1|Char-F1|Char-F1|ROUGE-2|EM acc|BLEU|BLEU|EM acc|pass@1|   |
| RakutenAI-7B-chat | 0.9035 | 0.2600 | 0.4619 | 0.8647 | 0.1339 | 0.2120 | 0.2667 | 0.1966 | 0.4504 | 0.2299 | 0.3980 |
| Qwen2-7B-Instruct | 0.8856 | 0.3902 | 0.3859 | 0.8967 | 0.1277 | 0.5720 | 0.2041 | 0.1909 | 0.5713 | **0.5683** | 0.4793 |
| Qwen2.5-7B-Instruct | 0.9151 | 0.4293 | 0.3910 | 0.8908 | 0.1676 | **0.6240** | 0.2108 | 0.1916 | **0.6252** | 0.5305 | 0.4976 |
| Tanuki-8B-dpo-v1.0 | 0.2770 | 0.2937 | 0.3710 | 0.6669 | 0.1016 | 0.4280 | 0.2385 | 0.1820 | 0.3078 | 0.2555 | 0.3122 |
| Llama 3 8B Instruct | 0.8785 | 0.3812 | 0.3936 | 0.8955 | 0.1273 | 0.4160 | 0.2143 | 0.2035 | 0.4719 | 0.2872 | 0.4269 |
| Llama 3.1 8B Instruct | 0.8829 | 0.4272 | 0.4112 | 0.8856 | 0.1481 | 0.5280 | 0.2174 | 0.1990 | 0.5086 | 0.4976 | 0.4706 |
| Llama 3 Youko 8B Instruct | 0.9196 | 0.4850 | 0.5178 | 0.9001 | 0.2085 | 0.4680 | 0.2559 | 0.1906 | 0.4691 | 0.2695 | 0.4684 |
| Llama-3-ELYZA-JP-8B | 0.9017 | 0.5124 | 0.5016 | 0.9113 | 0.1677 | 0.4600 | 0.2509 | 0.1846 | 0.4829 | 0.3811 | 0.4754 |
| Llama 3 heron brain 8B v0.3 | 0.9231 | 0.4933 | 0.5694 | 0.9056 | **0.2178** | 0.4560 | 0.2771 | 0.2168 | 0.4993 | 0.3177 | 0.4876 |
| Llama 3 Swallow 8B Instruct | 0.9178 | 0.4963 | 0.5168 | 0.9088 | 0.1296 | 0.4880 | 0.2522 | 0.2254 | 0.4835 | 0.3927 | 0.4811 |
| Llama 3.1 Swallow 8B Instruct v0.1| 0.9240 | **0.5874** | 0.5736 | 0.9170 | 0.1380 | 0.5080 | 0.2820 | **0.2282** | 0.5301 | 0.3665 | 0.5055 |
| Llama 3.1 Swallow 8B Instruct v0.2| 0.9294 | 0.5601 | 0.5988 | 0.9148 | 0.1372 | 0.5280 | **0.2878** | 0.2270 | 0.5504 | 0.4079 | **0.5141** |
| Moriyasu_Qwen2_JP_7B (OURS)| **0.9321** | 0.4823 | **0.6046** | **0.9201** | 0.1382 | 0.5560 | 0.2636 | 0.1892 | 0.5273 | 0.2976 | 0.4911 |