Feedback and Inquiry Regarding GEB-1.3B
Dear GEB-AGI Team,
I hope this message finds you well. Your contributions are highly valuable to the community, and I appreciate the effort you have put into this project.
I was wondering if you have considered comparing your model to other similar works such as CT-LLM, and MAP-Neo (which has also released a 2B size model). These models, like yours, contribute precious training resources to the open-source bilingual language model community. A comparison could provide interesting insights and further highlight the strengths of your model.
Thank you once again for your outstanding contributions. I look forward to seeing your future aligned models and the continued advancements in this area.
CT-LLM: Chinese Tiny LLM (chinese-tiny-llm.github.io)
MAP-Neo: MAP-Neo (map-neo.github.io)
Best regards,
M-A-P Team
Dear M-A-P Team,
Thank you for your attention. We welcome tests for comparing our models to other similar works. If you have any experiment results, please help to release the results for further research.
Best regards,
GEB-AGI Team