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Feedback and Inquiry Regarding Index-1.9B #17

@XinrunDu

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@XinrunDu

Dear Index 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 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

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