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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
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01daniehua /kimik25-fp4-vllm-isl8192osl1024conc128tabularn<1K0 likes17 downloads4mo agoHugging Face02chengfu0118 /DeepSeek-R1-FP4_1757573629_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757573629_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 61.11% ± 0.48% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 61.11% 121 198 2 60.10% 119 198 3 62.12% 123 198 tabularn<1K0 likes13 downloads1y agoHugging Face03open-llm-leaderboard /ehristoforu__fp4-14b-v1-fix-detailsgated Dataset Card for Evaluation run of ehristoforu/fp4-14b-v1-fix Dataset automatically created during the evaluation run of model ehristoforu/fp4-14b-v1-fix The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ehristoforu__fp4-14b-v1-fix-details.tabular10K<n<100K0 likes12 downloads2y agoHugging Face04chengfu0118 /DeepSeek-R1-FP4_1757550665_eval_d91d chengfu0118/DeepSeek-R1-FP4_1757550665_eval_d91d Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 88.60% Accuracy Questions Solved Total Questions 88.60% 443 500 tabularn<1K0 likes12 downloads1y agoHugging Face05chengfu0118 /DeepSeek-R1-FP4_1757557889_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757557889_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 61.28% ± 0.77% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 63.13% 125 198 2 60.61% 120 198 3 60.10% 119 198 tabularn<1K0 likes10 downloads1y agoHugging Face06daniehua /dsr1-fp4-sgl-isl8192osl1024tabularn<1K0 likes10 downloads7mo agoHugging Face07daniehua /dsr1-fp4-sgl-isl1024osl8192tabularn<1K0 likes8 downloads7mo agoHugging Face08daniehua /kimik25-fp4-vllm-isl8192osl1024conc32tabularn<1K0 likes8 downloads4mo agoHugging Face09chengfu0118 /DeepSeek-R1-FP4_1757548772_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757548772_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 59.26% ± 1.07% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 61.62% 122 198 2 57.07% 113 198 3 59.09% 117 198 tabularn<1K0 likes7 downloads1y agoHugging Face10chengfu0118 /DeepSeek-R1-FP4_1757540347_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757540347_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 16.67% ± 0.63% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 17.17% 34 198 2 17.68% 35 198 3 15.15% 30 198 tabularn<1K0 likes7 downloads1y agoHugging Face11chengfu0118 /DeepSeek-R1-FP4_1757570920_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757570920_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 59.93% ± 0.77% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 60.61% 120 198 2 61.11% 121 198 3 58.08% 115 198 tabularn<1K0 likes7 downloads1y agoHugging Face12daniehua /gptoss-fp4-vllm-isl1024osl1024tabularn<1K0 likes7 downloads8mo agoHugging Face13daniehua /gptoss-fp4-vllm-isl8192osl1024tabularn<1K0 likes7 downloads10mo agoHugging Face14daniehua /dsr1-fp4-sgl-isl8192osl1024conc4tabularn<1K0 likes7 downloads4mo agoHugging Face15open-llm-leaderboard /ehristoforu__fp4-14b-it-v1-detailsgated Dataset Card for Evaluation run of ehristoforu/fp4-14b-it-v1 Dataset automatically created during the evaluation run of model ehristoforu/fp4-14b-it-v1 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ehristoforu__fp4-14b-it-v1-details.tabular10K<n<100K0 likes6 downloads2y agoHugging Face16chengfu0118 /DeepSeek-R1-FP4_1757536719_eval_2870 chengfu0118/DeepSeek-R1-FP4_1757536719_eval_2870 Precomputed model outputs for evaluation. Evaluation Results AIME24 Average Accuracy: 68.33% ± 1.18% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 70.00% 21 30 2 63.33% 19 30 3 66.67% 20 30 4 63.33% 19 30 5 70.00% 21 30 6 70.00% 21 30 7 66.67% 20 30 8 70.00% 21 30 9 66.67% 20 30 10 76.67% 23 30 tabularn<1K0 likes6 downloads1y agoHugging Face17chengfu0118 /DeepSeek-R1-FP4_1757537053_eval_2870 chengfu0118/DeepSeek-R1-FP4_1757537053_eval_2870 Precomputed model outputs for evaluation. Evaluation Results AIME24 Average Accuracy: 65.00% ± 2.27% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 73.33% 22 30 2 70.00% 21 30 3 70.00% 21 30 4 56.67% 17 30 5 56.67% 17 30 6 73.33% 22 30 7 66.67% 20 30 8 70.00% 21 30 9 53.33% 16 30 10 60.00% 18 30 tabularn<1K0 likes6 downloads1y agoHugging Face18chengfu0118 /DeepSeek-R1-FP4_1757541727_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757541727_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 60.10% ± 1.33% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 63.13% 125 198 2 59.60% 118 198 3 57.58% 114 198 tabularn<1K0 likes6 downloads1y agoHugging Face19chengfu0118 /DeepSeek-R1-FP4_1757547837_eval_d91d chengfu0118/DeepSeek-R1-FP4_1757547837_eval_d91d Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 88.20% Accuracy Questions Solved Total Questions 88.20% 441 500 tabularn<1K0 likes6 downloads1y agoHugging Face20chengfu0118 /DeepSeek-R1-FP4_1757561992_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757561992_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 60.44% ± 1.91% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 64.65% 128 198 2 56.57% 112 198 3 60.10% 119 198 tabularn<1K0 likes6 downloads1y agoHugging Face21chengfu0118 /DeepSeek-R1-FP4_1757543283_eval_7c1d chengfu0118/DeepSeek-R1-FP4_1757543283_eval_7c1d Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 MATH500 GPQADiamond Accuracy 0.7 15.0 7.4 AIME24 Average Accuracy: 0.67% ± 0.63% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 0.00% 0 30 2 0.00% 0 30 3 0.00% 0 30 4 0.00% 0 30 5 6.67% 2 30 6 0.00% 0 30 7 0.00% 0 30 8 0.00% 0 30 9 0.00% 0 30 10 0.00% 0… See the full description on the dataset page: https://huggingface.co/datasets/chengfu0118/DeepSeek-R1-FP4_1757543283_eval_7c1d.tabular1K<n<10K0 likes6 downloads1y agoHugging Face22daniehua /dsr1-fp4-sgl-isl8192osl1024conc32tabularn<1K0 likes6 downloads4mo agoHugging Face23chengfu0118 /DeepSeek-R1-FP4_1757536509_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757536509_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 61.78% ± 0.36% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 62.63% 124 198 2 61.62% 122 198 3 61.11% 121 198 tabularn<1K0 likes5 downloads1y agoHugging Face24chengfu0118 /DeepSeek-R1-FP4_1757539348_eval_d91d chengfu0118/DeepSeek-R1-FP4_1757539348_eval_d91d Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 88.00% Accuracy Questions Solved Total Questions 88.00% 440 500 tabularn<1K0 likes5 downloads1y agoHugging Face25chengfu0118 /DeepSeek-R1-FP4_1757542177_eval_d91d chengfu0118/DeepSeek-R1-FP4_1757542177_eval_d91d Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 89.00% Accuracy Questions Solved Total Questions 89.00% 445 500 tabularn<1K0 likes5 downloads1y agoHugging Face26chengfu0118 /DeepSeek-R1-FP4_1757541768_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757541768_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 63.13% ± 0.71% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 64.65% 128 198 2 61.62% 122 198 3 63.13% 125 198 tabularn<1K0 likes5 downloads1y agoHugging Face27chengfu0118 /DeepSeek-R1-FP4_1757545008_eval_d91d chengfu0118/DeepSeek-R1-FP4_1757545008_eval_d91d Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 87.60% Accuracy Questions Solved Total Questions 87.60% 438 500 tabularn<1K0 likes5 downloads1y agoHugging Face28chengfu0118 /DeepSeek-R1-FP4_1757545324_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757545324_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 60.44% ± 0.69% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 62.12% 123 198 2 59.60% 118 198 3 59.60% 118 198 tabularn<1K0 likes5 downloads1y agoHugging Face29chengfu0118 /DeepSeek-R1-FP4_1757545947_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757545947_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 62.63% ± 0.24% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 62.12% 123 198 2 62.63% 124 198 3 63.13% 125 198 tabularn<1K0 likes5 downloads1y agoHugging Face30chengfu0118 /DeepSeek-R1-FP4_1757548999_eval_f912 chengfu0118/DeepSeek-R1-FP4_1757548999_eval_f912 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 63.13% ± 1.09% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 63.64% 126 198 2 60.61% 120 198 3 65.15% 129 198 tabularn<1K0 likes5 downloads1y agoHugging Face

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