mlfoundations-dev/Eurus-2-7B-SFT_eval_2e29
mlfoundations-dev/Eurus-2-7B-SFT_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 2.3 21.0 30.6 11.0 11.4 10.4 6.8 1.5 2.1 1.3 4.1 4.4 AIME24 Average Accuracy: 2.33% ± 0.67% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 0.00% 0 30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/Eurus-2-7B-SFT_eval_2e29.
| Author / organization | mlfoundations-dev |
|---|---|
| Downloads | 3.7K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 April 2025 |
| Last updated at source | 17 April 2025 |
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- 17 Oct 2026 Description: mlfoundations-dev/Eurus-2-7B-SFT_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 2. → mlfoundations-dev/Eurus-2-7B-SFT_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 2.
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