This model is based on Gemma-2-2B-it, enhanced with multiple tuning techniques to improve its general performance. While it excels in Japanese language tasks, it's designed to meet diverse needs globally.
This model is based on Gemma-2-2B-it and is subject to the Gemma Terms of Use. For detailed information, please refer to the official Gemma license page.
クレジット表記: 本モデルを使用または改変する際は、以下のようなクレジット表記を行うことを推奨します：
"This project utilizes HODACHI/EZO-Common-T2-2B-gemma-2-it, a model based on gemma-2 and fine-tuned by Axcxept co., ltd."
Commercial Use: If you plan to use this model for commercial purposes, we strongly encourage you to inform us via email at info@axcxept.com. This allows for potential collaboration on model applications and improvements.
Attribution: When using or adapting this model, we recommend providing attribution as follows:
"This project utilizes HODACHI/EZO-Common-T2-2B-gemma-2-it, a model based on gemma-2 and fine-tuned by Axcxept co., ltd."
Feedback: We welcome any feedback on your experience with the model. Please feel free to email us at info@axcxept.com.
Please note that these are recommendations and not legal requirements. Your use of this model is primarily governed by the gemma License Agreement.
[Usage]
Here are some code snippets to quickly get started with the model. First, run:
pip install -U transformers accelerate
Then, copy the snippet from the relevant section for your use case.
<bos><start_of_turn>user
Write a hello world program<end_of_turn>
<start_of_turn>model
XXXXXX<end_of_turn><eos>
[Model Data]
Training Dataset]
We extracted high-quality data from Japanese Wikipedia and FineWeb to create instruction data. Our innovative training approach allows for performance improvements across various languages and domains, making the model suitable for global use despite its focus on Japanese data.
We used a plain instruction tuning method to train the model on exemplary responses. This approach enhances the model's ability to understand and generate high-quality responses across various languages and contexts.
