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mlfoundations-dev/phi_30K_qwq_0K_eval_2e29

mlfoundations-dev/phi_30K_qwq_0K_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 26.7 42.2 44.8 8.1 32.0 47.1 0.8 0.3 0.1 20.7 2.3 0.3 AIME24 Average Accuracy: 26.67% ± 1.63% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 23.33% 7… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/phi_30K_qwq_0K_eval_2e29.

Author / organizationmlfoundations-dev
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Created5 June 2025
Last updated at source5 June 2025
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  • 17 Oct 2026 Description: mlfoundations-dev/phi_30K_qwq_0K_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 26 → mlfoundations-dev/phi_30K_qwq_0K_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 26

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