thomas-yanxin/XinYuan-Qwen2-7B

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