---
license: other
language:
- zh
- en
datasets:
- thomas-yanxin/MT-SFT-ShareGPT
---


The main purpose of this model is to validate the usability of [thomas-yanxin/MT-SFT-ShareGPT](https://huggingface.co/datasets/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   | 73.72           |
|            | MMLU-Pro | /            |
|            | Theorem QA | /             |
|            | GPQA    | 33.04             |
|            | BBH     | 67.55            |
|        | IFEval (Prompt Strict-Acc.) | 40.48 |
|        | ARC-C   | 91.19             |
| Math       | GSM8K   | 82.94             |
|            | MATH    | 41.06            |
| Chinese       | C-EVAL  | 81.02             |
|            | CMMLU   | 80.06             |
| Code       | MBPP    | 50.6             |
|            | HumanEval | 83.99           |