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mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554

mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Accuracy 47.7 87.5 86.0 32.3 52.6 41.8 31.4 54.7 40.3 10.5 21.7 32.0 22.6 AIME24 Average Accuracy: 47.67% ± 1.49% Number of Runs: 10 Run Accuracy Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554.

Author / organizationmlfoundations-dev
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Created11 June 2025
Last updated at source12 June 2025
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  • 17 Oct 2026 Description: mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 → mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25

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