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The main purpose of this model is to validate the usability of thomas-yanxin/MT-SFT-ShareGPT, i.e., the quality of the data is all you need. We found that when we meticulously extract the data through a better data governance approach, the corresponding model results can be vastly improved, even if only through SFT.

Here are the results from our OpenCompass evaluation:

Classification Benchmarks Models
名称 XinYuan-Qwen2-7B
English MMLU 68.71
MMLU-Pro 30.56
Theorem QA 25.3
GPQA 29.2
BBH 60.3
IFEval (Prompt Strict-Acc.) 39.2
ARC-C 87.5
Math GSM8K 75.4
MATH 34.76
Chinese C-EVAL 82.0
CMMLU 77.9
Code MBPP 50.6
HumanEval 70.1
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