---
title: Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870
canonical_url: "https://www.modelscope.cn/datasets/mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870"
md_url: "https://www.modelscope.cn/datasets/mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870.md"
repository: mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870
last_updated: 2025-10-09
license: "Apache License 2.0"
storage_size: "13 MB"
downloads: 174
stars: 0
---

# Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870

> Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870 - mlfoundations-dev 在 ModelScope 开源的数据集。mlfoundations-dev/Qwen2.5-7B-Instructqwqmixr1scienceeval2870

mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870 是 ModelScope 魔搭社区上的数据集，存储大小 13 MB，采用 Apache License 2.0 许可。

- **Repository**: mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870
- **License**: Apache License 2.0
- **Storage size**: 13 MB
- **Downloads**: 174
- **Stars**: 0
- **Last updated**: 2025-10-09

Source: https://www.modelscope.cn/datasets/mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870

---

# mlfoundations-dev/Qwen2.5-7B-Instruct_qwq_mix_r1_science_eval_2870

Precomputed model outputs for evaluation.



## Evaluation Results

### AIME24

- **Average Accuracy**: 60.67% ± 2.20%
- **Number of Runs**: 10

| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 70.00% | 21 | 30 |
| 2 | 53.33% | 16 | 30 |
| 3 | 53.33% | 16 | 30 |
| 4 | 66.67% | 20 | 30 |
| 5 | 63.33% | 19 | 30 |
| 6 | 66.67% | 20 | 30 |
| 7 | 60.00% | 18 | 30 |
| 8 | 46.67% | 14 | 30 |
| 9 | 63.33% | 19 | 30 |
| 10 | 63.33% | 19 | 30 |