mlfoundations-dev/Qwen2.5-1.5B-Instruct_eval_5554

mlfoundations-dev/Qwen2.5-1.5B-Instruct_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 3.0 30.8 50.2 32.5 16.4 24.7 5.5 0.8 2.2 15.3 0.0 0.7 5.1 AIME24 Average Accuracy: 3.00% ± 0.88% Number of Runs: 10 Run Accuracy Questions Solved Total Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/Qwen2.5-1.5B-Instruct_eval_5554.

<iframe src="https://silytics.si/embed/item/a1127e70-acdd-4dae-b83a-734e4fb7e6c1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.