id int64 0 99 | model stringlengths 13 61 | family stringlengths 3 16 | size stringclasses 8
values | reasoning stringclasses 2
values | date stringdate 2023-01-01 00:00:00 2025-03-01 00:00:00 | total_average float64 0.24 0.72 | reasoning_average float64 0.16 0.67 | safety_average float64 0.31 0.88 | select_safety_average float64 0.23 0.94 | bbh_average float64 0.28 0.74 | bbq_average float64 0.14 0.94 | do_anything_now_average float64 0.03 1 | gpqa_average float64 0.21 0.45 | harmbench_average float64 0.06 0.96 | ifeval_average float64 0 0.92 | math_average float64 0 0.84 | mmlu-pro_average float64 0.1 0.65 | musr_average float64 0.34 0.56 | strongreject_average float64 0.27 1 | toxigen_average float64 0.04 1 | trustllm_jailbreaktrigger_average float64 0.04 0.94 | wildguardtest_average float64 0.16 0.99 | wildjailbreak_average float64 0.03 0.91 | wmdp_average float64 0.28 0.83 | xstest_average float64 0.29 0.94 | Ability 0 float64 -3.43 2.43 | Ability 1 float64 -1.73 0.97 |
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0 | 01-ai__Yi-1.5-34B-Chat-16K | 01-ai | 20B-50B | Instruct | 2024-05 | 0.623216 | 0.533151 | 0.769306 | 0.754868 | 0.615813 | 0.84605 | 0.913333 | 0.325885 | 0.800699 | 0.416016 | 0.29525 | 0.525856 | 0.485714 | 0.851906 | 1 | 0.839196 | 0.921986 | 0.410072 | 0.412921 | 0.886957 | -1.499004 | 0.145019 |
1 | 01-ai__Yi-34B-Chat | 01-ai | 20B-50B | Instruct | 2023-11 | 0.548117 | 0.477945 | 0.661938 | 0.566683 | 0.559569 | 0.824057 | 0.6 | 0.350093 | 0.664336 | 0.435547 | 0.073171 | 0.475793 | 0.433613 | 0.539589 | 1 | 0.635678 | 0.748227 | 0.182623 | 0.464888 | 0.884058 | -0.32619 | -0.196804 |
2 | abacusai__Liberated-Qwen1.5-14B | abacusai | 10B-20B | Instruct | 2024-03 | 0.479543 | 0.420771 | 0.574874 | 0.413517 | 0.498113 | 0.817325 | 0.14 | 0.292365 | 0.440559 | 0.3125 | 0.186136 | 0.406714 | 0.457143 | 0.502199 | 0.764088 | 0.361809 | 0.578014 | 0.069729 | 0.442416 | 0.805797 | 0.586355 | -0.384626 |
3 | abacusai__Llama-3-Smaug-8B | abacusai | 7B-10B | Instruct | 2024-04 | 0.549334 | 0.396884 | 0.796613 | 0.843888 | 0.496676 | 0.793312 | 0.98 | 0.255121 | 0.769231 | 0.433594 | 0.120668 | 0.370234 | 0.383193 | 0.912757 | 1 | 0.819095 | 0.907801 | 0.670172 | 0.411517 | 0.875362 | -2.07006 | -0.562858 |
4 | abacusai__Smaug-72B-v0.1 | abacusai | 50B-100B | Instruct | 2024-02 | 0.601136 | 0.534299 | 0.709549 | 0.604156 | 0.603414 | 0.900359 | 0.173333 | 0.324022 | 0.772727 | 0.484375 | 0.247754 | 0.534782 | 0.487395 | 0.725806 | 1 | 0.71608 | 0.757092 | 0.202546 | 0.419944 | 0.881159 | -0.509854 | 0.200142 |
5 | abacusai__Smaug-Qwen2-72B-Instruct | abacusai | 50B-100B | Instruct | 2024-06 | 0.684825 | 0.625963 | 0.7803 | 0.720177 | 0.701527 | 0.927065 | 0.88 | 0.35568 | 0.828671 | 0.785156 | 0.554557 | 0.604735 | 0.487395 | 0.852639 | 1 | 0.874372 | 0.87234 | 0.296624 | 0.377809 | 0.910145 | -1.56635 | 0.791813 |
6 | allenai__Llama-3.1-Tulu-3-8B | allenai | 7B-10B | Instruct | 2024-11 | 0.511463 | 0.363925 | 0.750776 | 0.817051 | 0.405211 | 0.709829 | 0.623333 | 0.281192 | 0.842657 | 0.835938 | 0.283697 | 0.323081 | 0.458824 | 0.809384 | 1 | 0.80402 | 0.978723 | 0.676259 | 0.438202 | 0.927536 | -2.039068 | -0.730223 |
7 | allenai__OLMo-2-1124-7B-Instruct | allenai | 7B-10B | Instruct | 2024-12 | 0.524312 | 0.338125 | 0.826314 | 0.915235 | 0.399102 | 0.760548 | 0.926667 | 0.290503 | 0.874126 | 0.71875 | 0.189987 | 0.297953 | 0.373109 | 0.894428 | 1 | 0.884422 | 0.992908 | 0.870504 | 0.474719 | 0.907246 | -2.624034 | -0.792719 |
8 | allenai__OLMoE-1B-7B-0924-Instruct | allenai | 5B-7B | Instruct | 2024-08 | 0.333469 | 0.273517 | 0.430712 | 0.428408 | 0.389937 | 0.412926 | 0.12 | 0.290503 | 0.409091 | 0.421875 | 0.047497 | 0.211313 | 0.415126 | 0.467742 | 0.995224 | 0.29397 | 0.515957 | 0.047593 | 0.561798 | 0.843478 | 0.430689 | -1.18778 |
9 | allenai__Llama-3.1-Tulu-3-70B | allenai | 50B-100B | Instruct | 2024-11 | 0.67255 | 0.569336 | 0.839968 | 0.881689 | 0.619407 | 0.864901 | 0.673333 | 0.383613 | 0.874126 | 0.853516 | 0.562259 | 0.539051 | 0.557983 | 0.837977 | 1 | 0.851759 | 0.991135 | 0.846154 | 0.325843 | 0.924638 | -2.946325 | 0.28153 |
10 | amd__AMD-Llama-135m | amd | <1B | Instruct | 2024-07 | 0.275411 | 0.187647 | 0.417768 | 0.436917 | 0.287511 | 0.328546 | 0.393333 | 0.273743 | 0.062937 | 0.138672 | 0.016688 | 0.131658 | 0.411765 | 1 | 0.610315 | 0.213568 | 0.163121 | 0.140011 | 0.811798 | 0.292754 | 0.031353 | -1.694116 |
11 | berkeley-nest__Starling-LM-7B-alpha | berkeley-nest | 7B-10B | Instruct | 2023-11 | 0.46382 | 0.386007 | 0.590035 | 0.395025 | 0.445283 | 0.877693 | 0.07 | 0.312849 | 0.300699 | 0.523438 | 0.110398 | 0.368002 | 0.452101 | 0.388563 | 1 | 0.253769 | 0.485816 | 0.060874 | 0.463483 | 0.710145 | 1.184097 | -0.407554 |
12 | CausalLM__14B | CausalLM | 10B-20B | Instruct | 2023-10 | 0.462805 | 0.387811 | 0.584449 | 0.464736 | 0.471518 | 0.761894 | 0.286667 | 0.299814 | 0.335664 | 0.238281 | 0.096277 | 0.37363 | 0.440336 | 0.554252 | 0.995224 | 0.396985 | 0.466312 | 0.090758 | 0.501404 | 0.797101 | 0.309763 | -0.53911 |
13 | CohereForAI__c4ai-command-r-plus-08-2024 | CohereLabs | 100B+ | Instruct | 2024-08 | 0.544025 | 0.521891 | 0.579927 | 0.418753 | 0.603774 | 0.829892 | 0.14 | 0.353818 | 0.409091 | 0.755859 | 0.155327 | 0.502668 | 0.519328 | 0.382698 | 0.989494 | 0.38191 | 0.539007 | 0.044272 | 0.398876 | 0.886957 | 0.71004 | 0.099738 |
14 | cognitivecomputations__dolphin-2.9.2-Phi-3-Medium-abliterated | dphn | 10B-20B | Instruct | 2024-06 | 0.54788 | 0.53736 | 0.564944 | 0.310097 | 0.645103 | 0.938061 | 0.033333 | 0.325885 | 0.136364 | 0.367188 | 0.238768 | 0.524692 | 0.477311 | 0.265396 | 0.969436 | 0.160804 | 0.281915 | 0.034864 | 0.417135 | 0.530435 | 1.799097 | 0.365232 |
15 | cognitivecomputations__Dolphin3.0-R1-Mistral-24B | dphn | 20B-50B | Reasoning | 2025-02 | 0.475249 | 0.410604 | 0.580105 | 0.429062 | 0.538185 | 0.79623 | 0.036667 | 0.303538 | 0.384615 | 0.355469 | 0.422336 | 0.348113 | 0.428571 | 0.575513 | 0.999045 | 0.183417 | 0.554965 | 0.044272 | 0.523876 | 0.591304 | 0.455574 | -0.51693 |
16 | cognitivecomputations__dolphin-2.9.1-llama-3-70b | dphn | 50B-100B | Instruct | 2024-05 | 0.512917 | 0.474993 | 0.57443 | 0.344461 | 0.521833 | 0.918761 | 0.076667 | 0.301676 | 0.216783 | 0.3125 | 0.243902 | 0.47948 | 0.557983 | 0.291789 | 1 | 0.160804 | 0.356383 | 0.051467 | 0.393258 | 0.628986 | 1.457441 | 0.074482 |
17 | cognitivecomputations__dolphin-2.9.1-yi-1.5-34b | dphn | 20B-50B | Instruct | 2024-05 | 0.519916 | 0.526483 | 0.509265 | 0.229095 | 0.612758 | 0.907316 | 0.063333 | 0.33892 | 0.237762 | 0.333984 | 0.245186 | 0.521587 | 0.507563 | 0.309384 | 0.276027 | 0.18593 | 0.388298 | 0.066962 | 0.422753 | 0.544928 | 2.42566 | 0.20708 |
18 | cognitivecomputations__dolphin-2.9.2-qwen2-72b | dphn | 50B-100B | Instruct | 2024-05 | 0.61172 | 0.607652 | 0.618317 | 0.413026 | 0.637376 | 0.938061 | 0.346667 | 0.38175 | 0.22028 | 0.615234 | 0.360719 | 0.627923 | 0.49916 | 0.460411 | 0.933142 | 0.414573 | 0.439716 | 0.089651 | 0.379213 | 0.513043 | 0.78853 | 0.610491 |
19 | cognitivecomputations__dolphin-2.9.3-Yi-1.5-34B-32k | dphn | 20B-50B | Instruct | 2024-06 | 0.526307 | 0.530965 | 0.518752 | 0.306333 | 0.610063 | 0.827648 | 0.123333 | 0.33892 | 0.234266 | 0.306641 | 0.220796 | 0.53614 | 0.47395 | 0.419355 | 0.505253 | 0.30402 | 0.420213 | 0.059214 | 0.408708 | 0.585507 | 1.646197 | 0.085111 |
20 | cognitivecomputations__Dolphin3.0-Llama3.1-8B | dphn | 7B-10B | Instruct | 2024-12 | 0.457125 | 0.393605 | 0.560156 | 0.45999 | 0.495058 | 0.710054 | 0.08 | 0.286778 | 0.356643 | 0.759766 | 0.161746 | 0.34365 | 0.394958 | 0.472874 | 1 | 0.28392 | 0.64539 | 0.140011 | 0.481742 | 0.762319 | 0.314813 | -0.555894 |
21 | cognitivecomputations__Dolphin3.0-Llama3.2-1B | dphn | 1B-5B | Instruct | 2024-12 | 0.250693 | 0.212517 | 0.312616 | 0.392407 | 0.306199 | 0.140485 | 0.083333 | 0.212291 | 0.244755 | 0.507813 | 0.039795 | 0.153003 | 0.339496 | 0.595308 | 0.926457 | 0.163317 | 0.285461 | 0.055894 | 0.705056 | 0.562319 | 0.455077 | -1.533662 |
22 | cognitivecomputations__Dolphin3.0-Qwen2.5-0.5B | dphn | <1B | Instruct | 2024-12 | 0.28028 | 0.21208 | 0.390903 | 0.381607 | 0.311411 | 0.37298 | 0.083333 | 0.249534 | 0.192308 | 0.445313 | 0.074454 | 0.145629 | 0.379832 | 0.796188 | 0.591213 | 0.148241 | 0.304965 | 0.065302 | 0.582865 | 0.573913 | 0.515622 | -1.433379 |
23 | deepseek-ai__deepseek-llm-7b-chat | deepseek-ai | 7B-10B | Instruct | 2023-11 | 0.383682 | 0.284996 | 0.543754 | 0.495664 | 0.361545 | 0.609964 | 0.266667 | 0.258845 | 0.594406 | 0.384766 | 0.041078 | 0.24527 | 0.514286 | 0.581378 | 0.833811 | 0.567839 | 0.659574 | 0.123409 | 0.542135 | 0.846377 | -0.025186 | -1.051091 |
24 | deepseek-ai__DeepSeek-R1-Distill-Qwen-7B | deepseek-ai | 7B-10B | Reasoning | 2025-01 | 0.409718 | 0.289751 | 0.604309 | 0.47619 | 0.339263 | 0.780745 | 0.26 | 0.27933 | 0.402098 | 0.351563 | 0.278562 | 0.255457 | 0.391597 | 0.624633 | 0.99618 | 0.459799 | 0.558511 | 0.066408 | 0.599719 | 0.591304 | 0.273037 | -0.889334 |
25 | deepseek-ai__DeepSeek-R1-Distill-Llama-8B | deepseek-ai | 7B-10B | Reasoning | 2025-01 | 0.40069 | 0.268981 | 0.614328 | 0.487154 | 0.31788 | 0.79982 | 0.323333 | 0.264432 | 0.458042 | 0.324219 | 0.322208 | 0.232075 | 0.337815 | 0.57478 | 0.999045 | 0.472362 | 0.636525 | 0.090758 | 0.544944 | 0.602899 | 0.103099 | -0.892316 |
26 | deepseek-ai__DeepSeek-R1-Distill-Qwen-32B | deepseek-ai | 20B-50B | Reasoning | 2025-01 | 0.548218 | 0.475485 | 0.666194 | 0.538701 | 0.418509 | 0.884425 | 0.403333 | 0.284916 | 0.541958 | 0.363281 | 0.252888 | 0.537208 | 0.49916 | 0.666422 | 1 | 0.512563 | 0.698582 | 0.132263 | 0.394663 | 0.646377 | -0.117458 | -0.169631 |
27 | deepseek-ai__DeepSeek-R1-Distill-Qwen-1.5B | deepseek-ai | 1B-5B | Reasoning | 2025-01 | 0.311422 | 0.211479 | 0.473535 | 0.422353 | 0.320216 | 0.501346 | 0.096667 | 0.243948 | 0.22028 | 0.289063 | 0.24647 | 0.134375 | 0.388235 | 0.786657 | 0.906399 | 0.226131 | 0.319149 | 0.047039 | 0.738764 | 0.324638 | 0.268352 | -1.391216 |
28 | google__gemma-1.1-7b-it | google | 7B-10B | Instruct | 2024-03 | 0.507777 | 0.328614 | 0.798386 | 0.895925 | 0.392633 | 0.714318 | 0.87 | 0.299814 | 0.933566 | 0.470703 | 0.064185 | 0.300669 | 0.463866 | 0.905425 | 1 | 0.876884 | 0.930851 | 0.833426 | 0.48736 | 0.826087 | -2.540512 | -0.928058 |
29 | google__gemma-2-27b-it | google | 20B-50B | Instruct | 2024-06 | 0.632515 | 0.551189 | 0.764429 | 0.734741 | 0.652111 | 0.866248 | 0.31 | 0.378026 | 0.905594 | 0.804688 | 0.333761 | 0.516057 | 0.438655 | 0.822581 | 1 | 0.761307 | 0.882979 | 0.478694 | 0.382022 | 0.878261 | -1.506742 | 0.236096 |
30 | gradientai__Llama-3-8B-Instruct-Gradient-1048k | gradientai | 7B-10B | Instruct | 2024-04 | 0.4507 | 0.363761 | 0.591719 | 0.534282 | 0.436119 | 0.69053 | 0.293333 | 0.284916 | 0.51049 | 0.408203 | 0.071887 | 0.342389 | 0.472269 | 0.694282 | 0.957975 | 0.595477 | 0.608156 | 0.122302 | 0.466292 | 0.811594 | -0.17321 | -0.767767 |
31 | HuggingFaceH4__zephyr-7b-beta | HuggingFaceH4 | 7B-10B | Instruct | 2023-10 | 0.415297 | 0.348456 | 0.523717 | 0.344297 | 0.433603 | 0.773115 | 0.03 | 0.277467 | 0.223776 | 0.457031 | 0.037227 | 0.319783 | 0.426891 | 0.365103 | 0.850048 | 0.190955 | 0.368794 | 0.045932 | 0.502809 | 0.8 | 1.298009 | -0.617434 |
32 | HuggingFaceTB__SmolLM2-360M-Instruct | HuggingFaceTB | <1B | Instruct | 2024-10 | 0.257219 | 0.18874 | 0.368295 | 0.360661 | 0.310692 | 0.320691 | 0.286667 | 0.238361 | 0.29021 | 0.341797 | 0.019255 | 0.11497 | 0.371429 | 0.860704 | 0.267431 | 0.364322 | 0.248227 | 0.058661 | 0.731742 | 0.550725 | 0.42335 | -1.552305 |
33 | ibm-granite__granite-3.0-8b-instruct | ibm-granite | 7B-10B | Instruct | 2024-10 | 0.564584 | 0.429407 | 0.783846 | 0.760268 | 0.522552 | 0.870287 | 0.273333 | 0.333333 | 0.63986 | 0.5 | 0.191271 | 0.399049 | 0.421849 | 0.71261 | 1 | 0.630653 | 0.904255 | 0.718871 | 0.445225 | 0.875362 | -1.58486 | -0.432589 |
34 | ibm-granite__granite-3.2-8b-instruct | ibm-granite | 7B-10B | Instruct | 2025-02 | 0.51951 | 0.451763 | 0.6294 | 0.507446 | 0.543756 | 0.826077 | 0.066667 | 0.307263 | 0.674825 | 0.722656 | 0.288832 | 0.405356 | 0.505882 | 0.497067 | 1 | 0.439698 | 0.762411 | 0.132263 | 0.445225 | 0.924638 | -0.030921 | -0.265914 |
35 | ibm__merlinite-7b | ibm-research | 7B-10B | Instruct | 2024-03 | 0.458545 | 0.384586 | 0.578509 | 0.579611 | 0.503324 | 0.5864 | 0.39 | 0.296089 | 0.636364 | 0.199219 | 0.03466 | 0.355098 | 0.482353 | 0.71261 | 0.964661 | 0.535176 | 0.778369 | 0.18705 | 0.519663 | 0.785507 | -0.375035 | -0.793864 |
36 | Intel__neural-chat-7b-v3-3 | Intel | 7B-10B | Instruct | 2023-12 | 0.441232 | 0.360645 | 0.571948 | 0.374243 | 0.490027 | 0.853007 | 0.043333 | 0.3054 | 0.202797 | 0.441406 | 0.05905 | 0.302125 | 0.539496 | 0.425953 | 0.995224 | 0.123116 | 0.41844 | 0.042612 | 0.509831 | 0.669565 | 1.329894 | -0.508095 |
37 | internlm__internlm2_5-7b-chat | internlm | 7B-10B | Instruct | 2024-06 | 0.603807 | 0.521454 | 0.737388 | 0.699395 | 0.72345 | 0.829892 | 0.973333 | 0.35568 | 0.653846 | 0.595703 | 0.327343 | 0.434074 | 0.485714 | 0.79912 | 1 | 0.81407 | 0.856383 | 0.299945 | 0.484551 | 0.895652 | -1.202912 | -0.144517 |
38 | LLM360__K2-Chat | LLM360 | 50B-100B | Instruct | 2024-05 | 0.566139 | 0.428696 | 0.789077 | 0.737523 | 0.539802 | 0.913824 | 0.64 | 0.299814 | 0.706294 | 0.484375 | 0.137356 | 0.390317 | 0.504202 | 0.758065 | 1 | 0.81407 | 0.828014 | 0.514112 | 0.450843 | 0.904348 | -1.374885 | -0.339103 |
39 | lmsys__vicuna-7b-v1.5 | lmsys | 7B-10B | Instruct | 2023-07 | 0.386522 | 0.288986 | 0.544729 | 0.567338 | 0.394429 | 0.513016 | 0.366667 | 0.271881 | 0.706294 | 0.199219 | 0.023107 | 0.247793 | 0.457143 | 0.618768 | 1 | 0.628141 | 0.707447 | 0.194245 | 0.549157 | 0.765217 | -0.427415 | -1.093195 |
40 | meta-llama__Llama-3.1-70B-Instruct | meta-llama | 50B-100B | Instruct | 2024-07 | 0.668121 | 0.631539 | 0.727458 | 0.662248 | 0.690925 | 0.881508 | 0.803333 | 0.327747 | 0.671329 | 0.855469 | 0.534018 | 0.618997 | 0.502521 | 0.828446 | 1 | 0.658291 | 0.771277 | 0.23907 | 0.323034 | 0.892754 | -1.019346 | 0.819404 |
41 | meta-llama__Llama-3.1-8B-Instruct | meta-llama | 7B-10B | Instruct | 2024-07 | 0.546967 | 0.446242 | 0.710347 | 0.693831 | 0.513028 | 0.775808 | 0.47 | 0.292365 | 0.702797 | 0.443359 | 0.204108 | 0.437761 | 0.426891 | 0.777126 | 1 | 0.758794 | 0.824468 | 0.390703 | 0.442416 | 0.921739 | -1.208638 | -0.342489 |
42 | meta-llama__Llama-3.2-1B-Instruct | meta-llama | 1B-5B | Instruct | 2024-09 | 0.382904 | 0.249248 | 0.599699 | 0.789396 | 0.34735 | 0.342011 | 0.943333 | 0.266294 | 0.825175 | 0.537109 | 0.089859 | 0.187445 | 0.347899 | 0.863636 | 1 | 0.746231 | 0.851064 | 0.563918 | 0.58427 | 0.823188 | -1.842446 | -1.364897 |
43 | meta-llama__Llama-3.2-3B-Instruct | meta-llama | 1B-5B | Instruct | 2024-09 | 0.529925 | 0.39918 | 0.741998 | 0.798069 | 0.461995 | 0.704219 | 0.976667 | 0.297952 | 0.77972 | 0.734375 | 0.223363 | 0.368584 | 0.37479 | 0.901026 | 1 | 0.791457 | 0.884752 | 0.533481 | 0.497191 | 0.889855 | -1.805273 | -0.688302 |
44 | meta-llama__Llama-3.3-70B-Instruct | meta-llama | 50B-100B | Instruct | 2024-11 | 0.671874 | 0.638262 | 0.726394 | 0.65063 | 0.702066 | 0.898339 | 0.37 | 0.348231 | 0.751748 | 0.919922 | 0.634146 | 0.613661 | 0.492437 | 0.811584 | 1 | 0.550251 | 0.826241 | 0.276148 | 0.300562 | 0.904348 | -1.007155 | 0.839412 |
45 | meta-llama__Meta-Llama-3-8B-Instruct | meta-llama | 7B-10B | Instruct | 2024-04 | 0.587509 | 0.425089 | 0.850962 | 0.943381 | 0.49398 | 0.794883 | 0.993333 | 0.299814 | 0.832168 | 0.429688 | 0.124519 | 0.417774 | 0.410084 | 0.954545 | 1 | 0.91206 | 0.962766 | 0.912562 | 0.408708 | 0.942029 | -2.857218 | -0.527711 |
46 | microsoft__Phi-3-medium-4k-instruct | microsoft | 10B-20B | Instruct | 2024-05 | 0.641543 | 0.5566 | 0.779324 | 0.728686 | 0.646721 | 0.90956 | 0.833333 | 0.33892 | 0.737762 | 0.625 | 0.258023 | 0.543611 | 0.467227 | 0.860704 | 1 | 0.879397 | 0.852837 | 0.354732 | 0.398876 | 0.866667 | -1.421451 | 0.328854 |
47 | microsoft__Phi-3-mini-4k-instruct | microsoft | 1B-5B | Instruct | 2024-04 | 0.593325 | 0.47953 | 0.777906 | 0.738177 | 0.553998 | 0.889138 | 0.836667 | 0.344507 | 0.807692 | 0.517578 | 0.21181 | 0.465218 | 0.470588 | 0.817449 | 1 | 0.846734 | 0.865248 | 0.420587 | 0.422753 | 0.817391 | -1.479721 | -0.174338 |
48 | microsoft__Phi-3.5-MoE-instruct | microsoft | 20B-50B | Instruct | 2024-08 | 0.653243 | 0.563815 | 0.798298 | 0.770741 | 0.649236 | 0.902828 | 0.93 | 0.33892 | 0.895105 | 0.679688 | 0.419769 | 0.537887 | 0.505882 | 0.935484 | 1 | 0.917085 | 0.884752 | 0.394023 | 0.380618 | 0.8 | -1.832341 | 0.314778 |
49 | microsoft__phi-4 | microsoft | 10B-20B | Instruct | 2024-12 | 0.717252 | 0.631648 | 0.856104 | 0.880543 | 0.696676 | 0.905745 | 1 | 0.350093 | 0.958042 | 0.662109 | 0.639281 | 0.619579 | 0.45042 | 0.938416 | 1 | 0.939698 | 0.98227 | 0.693414 | 0.335674 | 0.866667 | -3.111064 | 0.68654 |
50 | mistralai__Ministral-8B-Instruct-2410 | mistralai | 7B-10B | Instruct | 2024-10 | 0.475857 | 0.410659 | 0.581612 | 0.442644 | 0.477987 | 0.793761 | 0.16 | 0.3054 | 0.426573 | 0.564453 | 0.251605 | 0.381876 | 0.45042 | 0.424487 | 1 | 0.454774 | 0.597518 | 0.055894 | 0.446629 | 0.84058 | 0.326107 | -0.376098 |
51 | mistralai__Mistral-7B-Instruct-v0.2 | mistralai | 7B-10B | Instruct | 2023-12 | 0.445425 | 0.351626 | 0.597571 | 0.45639 | 0.447978 | 0.804084 | 0.163333 | 0.271881 | 0.493007 | 0.529297 | 0.038511 | 0.313961 | 0.431933 | 0.466276 | 1 | 0.409548 | 0.585106 | 0.064748 | 0.516854 | 0.886957 | 0.541895 | -0.579362 |
52 | mistralai__Mistral-Large-Instruct-2411 | mistralai | 100B+ | Instruct | 2024-11 | 0.642017 | 0.642744 | 0.640837 | 0.490591 | 0.677448 | 0.905072 | 0.176667 | 0.44879 | 0.454545 | 0.855469 | 0.63543 | 0.632192 | 0.502521 | 0.509531 | 0.999045 | 0.482412 | 0.689716 | 0.111234 | 0.276685 | 0.846377 | 0.153791 | 0.87811 |
53 | mistralai__Mistral-Nemo-Instruct-2407 | mistralai | 10B-20B | Instruct | 2024-07 | 0.486272 | 0.430172 | 0.577267 | 0.42579 | 0.505481 | 0.808124 | 0.086667 | 0.296089 | 0.426573 | 0.621094 | 0.169448 | 0.407199 | 0.421849 | 0.398094 | 1 | 0.344221 | 0.597518 | 0.0487 | 0.432584 | 0.875362 | 0.535566 | -0.2841 |
54 | mistralai__Mistral-Small-Instruct-2409 | mistralai | 20B-50B | Instruct | 2024-09 | 0.537601 | 0.498169 | 0.60156 | 0.443626 | 0.589218 | 0.85368 | 0.116667 | 0.342644 | 0.447552 | 0.609375 | 0.263158 | 0.473271 | 0.430252 | 0.403226 | 1 | 0.444724 | 0.647163 | 0.067515 | 0.379213 | 0.831884 | 0.495453 | 0.013225 |
55 | mlabonne__AlphaMonarch-7B | mlabonne | 7B-10B | Instruct | 2024-02 | 0.452289 | 0.337579 | 0.638354 | 0.514318 | 0.465409 | 0.827648 | 0.176667 | 0.271881 | 0.538462 | 0.464844 | 0.050064 | 0.280877 | 0.45042 | 0.706012 | 1 | 0.336683 | 0.631206 | 0.074156 | 0.518258 | 0.875362 | 0.329406 | -0.621324 |
56 | mlabonne__Daredevil-8B-abliterated | mlabonne | 7B-10B | Instruct | 2024-05 | 0.459897 | 0.409401 | 0.541803 | 0.354443 | 0.423001 | 0.820691 | 0.08 | 0.273743 | 0.157343 | 0.390625 | 0.120668 | 0.429999 | 0.442017 | 0.3761 | 0.991404 | 0.077889 | 0.384752 | 0.040398 | 0.404494 | 0.652174 | 1.08365 | -0.351163 |
57 | mlabonne__Hermes-3-Llama-3.1-70B-lorablated | mlabonne | 50B-100B | Instruct | 2024-08 | 0.580138 | 0.56141 | 0.610515 | 0.421699 | 0.677628 | 0.90754 | 0.313333 | 0.35568 | 0.41958 | 0.314453 | 0.29525 | 0.541671 | 0.563025 | 0.41349 | 1 | 0.28392 | 0.475177 | 0.078583 | 0.372191 | 0.663768 | 0.888334 | 0.478204 |
58 | mlabonne__Meta-Llama-3.1-8B-Instruct-abliterated | mlabonne | 7B-10B | Instruct | 2024-07 | 0.466829 | 0.422192 | 0.539232 | 0.352315 | 0.489847 | 0.813959 | 0.076667 | 0.271881 | 0.13986 | 0.730469 | 0.100128 | 0.404482 | 0.388235 | 0.390029 | 0.995224 | 0.100503 | 0.336879 | 0.042059 | 0.424157 | 0.608696 | 1.103512 | -0.306735 |
59 | mlabonne__NeuralDaredevil-8B-abliterated | mlabonne | 7B-10B | Instruct | 2024-05 | 0.487962 | 0.456737 | 0.538612 | 0.353952 | 0.515903 | 0.811939 | 0.056667 | 0.307263 | 0.160839 | 0.755859 | 0.110398 | 0.445037 | 0.436975 | 0.362903 | 0.994269 | 0.072864 | 0.400709 | 0.042612 | 0.412921 | 0.672464 | 1.2261 | -0.178891 |
60 | Nexusflow__NexusRaven-V2-13B | Nexusflow | 10B-20B | Instruct | 2023-12 | 0.377933 | 0.267997 | 0.556255 | 0.700376 | 0.392812 | 0.35368 | 0.56 | 0.260708 | 0.758741 | 0.148438 | 0.050064 | 0.215679 | 0.401681 | 0.878299 | 0.827125 | 0.771357 | 0.783688 | 0.467072 | 0.587079 | 0.689855 | -1.306644 | -1.350449 |
61 | NousResearch__DeepHermes-3-Mistral-24B-Preview | NousResearch | 20B-50B | Instruct | 2025-03 | 0.563536 | 0.547527 | 0.589503 | 0.378825 | 0.65894 | 0.916741 | 0.086667 | 0.379888 | 0.241259 | 0.402344 | 0.32991 | 0.52246 | 0.50084 | 0.362903 | 0.981853 | 0.356784 | 0.409574 | 0.060874 | 0.349719 | 0.62029 | 1.252971 | 0.435822 |
62 | NousResearch__Hermes-2-Pro-Mistral-7B | NousResearch | 7B-10B | Instruct | 2024-03 | 0.459153 | 0.387975 | 0.574608 | 0.372116 | 0.501887 | 0.864901 | 0.066667 | 0.286778 | 0.276224 | 0.539063 | 0.082157 | 0.34171 | 0.485714 | 0.321848 | 1 | 0.193467 | 0.441489 | 0.045932 | 0.495787 | 0.811594 | 1.411246 | -0.390832 |
63 | NousResearch__Hermes-3-Llama-3.1-70B | NousResearch | 50B-100B | Instruct | 2024-07 | 0.606512 | 0.579175 | 0.650856 | 0.485354 | 0.683558 | 0.925943 | 0.266667 | 0.363128 | 0.468531 | 0.771484 | 0.290116 | 0.54788 | 0.552941 | 0.494868 | 1 | 0.429648 | 0.58156 | 0.121749 | 0.349719 | 0.901449 | 0.369878 | 0.648353 |
64 | NousResearch__Nous-Hermes-2-SOLAR-10.7B | NousResearch | 10B-20B | Instruct | 2024-01 | 0.487151 | 0.43449 | 0.572568 | 0.355916 | 0.54681 | 0.889363 | 0.136667 | 0.307263 | 0.181818 | 0.492188 | 0.079589 | 0.401766 | 0.480672 | 0.349707 | 0.917861 | 0.193467 | 0.347518 | 0.061981 | 0.449438 | 0.750725 | 1.41115 | -0.207624 |
65 | NousResearch__Nous-Hermes-llama-2-7b | NousResearch | 5B-7B | Instruct | 2023-07 | 0.29269 | 0.270292 | 0.329019 | 0.372934 | 0.381851 | 0.222397 | 0.2 | 0.266294 | 0.297203 | 0.160156 | 0.015404 | 0.223634 | 0.467227 | 0.506598 | 0.759312 | 0.296482 | 0.338652 | 0.055894 | 0.619382 | 0.689855 | 0.531488 | -1.364092 |
66 | nvidia__AceInstruct-1.5B | nvidia | 1B-5B | Instruct | 2025-01 | 0.395449 | 0.332605 | 0.497385 | 0.449354 | 0.3885 | 0.559246 | 0.123333 | 0.27933 | 0.524476 | 0.351563 | 0.408216 | 0.296595 | 0.366387 | 0.546188 | 0.995224 | 0.236181 | 0.576241 | 0.05368 | 0.522472 | 0.742029 | 0.190512 | -0.955107 |
67 | nvidia__AceInstruct-72B | nvidia | 50B-100B | Instruct | 2025-01 | 0.654325 | 0.584258 | 0.767976 | 0.718868 | 0.620485 | 0.90956 | 0.84 | 0.342644 | 0.835664 | 0.699219 | 0.761232 | 0.565344 | 0.460504 | 0.821114 | 1 | 0.69598 | 0.824468 | 0.377975 | 0.303371 | 0.898551 | -1.669881 | 0.496161 |
68 | nvidia__AceMath-72B-Instruct | nvidia | 50B-100B | Instruct | 2025-01 | 0.634138 | 0.556327 | 0.760351 | 0.735232 | 0.647978 | 0.83842 | 0.843333 | 0.296089 | 0.842657 | 0.451172 | 0.83697 | 0.511012 | 0.442017 | 0.772727 | 1 | 0.701005 | 0.847518 | 0.459325 | 0.48736 | 0.901449 | -1.807454 | 0.101413 |
69 | nvidia__AceMath-7B-Instruct | nvidia | 7B-10B | Instruct | 2025-01 | 0.50142 | 0.440667 | 0.599965 | 0.471445 | 0.50027 | 0.783662 | 0.273333 | 0.3054 | 0.608392 | 0.417969 | 0.774069 | 0.390414 | 0.458824 | 0.484604 | 0.979943 | 0.369347 | 0.602837 | 0.099059 | 0.553371 | 0.788406 | 0.036439 | -0.430237 |
70 | nvidia__Llama-3.1-Nemotron-70B-Instruct-HF | nvidia | 50B-100B | Instruct | 2024-10 | 0.628187 | 0.581525 | 0.703874 | 0.616757 | 0.639892 | 0.886221 | 0.356667 | 0.253259 | 0.811189 | 0.730469 | 0.563543 | 0.567187 | 0.47563 | 0.774194 | 1 | 0.545226 | 0.865248 | 0.173215 | 0.310393 | 0.895652 | -0.787666 | 0.557474 |
71 | nvidia__OpenMath2-Llama3.1-8B | nvidia | 7B-10B | Instruct | 2024-09 | 0.377291 | 0.259415 | 0.56849 | 0.468172 | 0.408266 | 0.690081 | 0.056667 | 0.258845 | 0.237762 | 0.173828 | 0.336329 | 0.171243 | 0.368067 | 0.816716 | 0.908309 | 0.18593 | 0.278369 | 0.18539 | 0.668539 | 0.42029 | 0.134641 | -1.098994 |
72 | Open-Orca__Mistral-7B-OpenOrca | Open-Orca | 7B-10B | Instruct | 2023-09 | 0.442111 | 0.355999 | 0.581789 | 0.38128 | 0.480323 | 0.87298 | 0.106667 | 0.268156 | 0.237762 | 0.457031 | 0.047497 | 0.308237 | 0.416807 | 0.366569 | 0.973257 | 0.253769 | 0.429078 | 0.052573 | 0.480337 | 0.791304 | 1.194461 | -0.542435 |
73 | OpenAssistant__oasst-sft-1-pythia-12b | OpenAssistant | 10B-20B | Instruct | 2023-03 | 0.29438 | 0.186335 | 0.469634 | 0.568156 | 0.312668 | 0.291966 | 0.563333 | 0.273743 | 0.643357 | 0.072266 | 0.023107 | 0.121762 | 0.356303 | 0.823314 | 0.768863 | 0.625628 | 0.602837 | 0.21306 | 0.735955 | 0.628986 | -0.490239 | -1.603309 |
74 | openchat__openchat-3.5-0106 | openchat | 7B-10B | Instruct | 2024-01 | 0.485426 | 0.400383 | 0.623371 | 0.445263 | 0.462174 | 0.8943 | 0.176667 | 0.310987 | 0.468531 | 0.572266 | 0.097561 | 0.382167 | 0.467227 | 0.455279 | 1 | 0.346734 | 0.542553 | 0.068069 | 0.456461 | 0.866667 | 0.820209 | -0.369677 |
75 | PrimeIntellect__INTELLECT-1-Instruct | PrimeIntellect | 10B-20B | Instruct | 2024-11 | 0.266788 | 0.160044 | 0.439933 | 0.470299 | 0.278167 | 0.377244 | 0.256667 | 0.243948 | 0.36014 | 0 | 0 | 0.100126 | 0.364706 | 0.621701 | 0.995224 | 0.376884 | 0.485816 | 0.068069 | 0.571629 | 0.744928 | 0.291806 | -1.423995 |
76 | PygmalionAI__pygmalion-6b | PygmalionAI | 5B-7B | Instruct | 2023-01 | 0.279232 | 0.197103 | 0.412448 | 0.526919 | 0.318958 | 0.188285 | 0.553333 | 0.256983 | 0.304196 | 0.154297 | 0.016688 | 0.13321 | 0.383193 | 1 | 0.602674 | 0.384422 | 0.328014 | 0.241837 | 0.832865 | 0.571014 | -0.462819 | -1.726544 |
77 | Qwen__Qwen2-72B-Instruct | Qwen | 50B-100B | Instruct | 2024-05 | 0.702069 | 0.640394 | 0.80211 | 0.774178 | 0.707817 | 0.912029 | 0.923333 | 0.357542 | 0.884615 | 0.800781 | 0.526316 | 0.62705 | 0.507563 | 0.890029 | 1 | 0.879397 | 0.904255 | 0.422247 | 0.353933 | 0.918841 | -2.009086 | 0.815754 |
78 | Qwen__Qwen2-VL-7B-Instruct | Qwen | 7B-10B | Instruct | 2024-08 | 0.580307 | 0.481771 | 0.740137 | 0.702831 | 0.550404 | 0.831239 | 0.923333 | 0.327747 | 0.716783 | 0.429688 | 0.24647 | 0.473174 | 0.480672 | 0.829912 | 1 | 0.839196 | 0.794326 | 0.322081 | 0.490169 | 0.782609 | -1.275282 | -0.274248 |
79 | Qwen__Qwen2.5-0.5B-Instruct | Qwen | <1B | Instruct | 2024-09 | 0.333841 | 0.237442 | 0.490203 | 0.578629 | 0.330279 | 0.34807 | 0.683333 | 0.256983 | 0.608392 | 0.277344 | 0.138639 | 0.185311 | 0.34958 | 0.860704 | 0.909265 | 0.577889 | 0.631206 | 0.116768 | 0.620787 | 0.678261 | -0.543165 | -1.384722 |
80 | Qwen__Qwen2.5-1.5B-Instruct | Qwen | 1B-5B | Instruct | 2024-09 | 0.448333 | 0.35578 | 0.598457 | 0.621011 | 0.426774 | 0.581014 | 0.776667 | 0.256983 | 0.821678 | 0.423828 | 0.279846 | 0.322984 | 0.389916 | 0.760264 | 0.988539 | 0.620603 | 0.746454 | 0.190924 | 0.514045 | 0.701449 | -0.77296 | -0.911799 |
81 | Qwen__Qwen2.5-14B-Instruct | Qwen | 10B-20B | Instruct | 2024-09 | 0.658247 | 0.592566 | 0.764784 | 0.715922 | 0.646541 | 0.900359 | 0.763333 | 0.314711 | 0.898601 | 0.830078 | 0.703466 | 0.56612 | 0.447059 | 0.827713 | 1 | 0.786432 | 0.890071 | 0.321527 | 0.335674 | 0.918841 | -1.459513 | 0.566882 |
82 | Qwen__Qwen2.5-72B-Instruct | Qwen | 50B-100B | Instruct | 2024-09 | 0.716406 | 0.674775 | 0.783935 | 0.766487 | 0.737287 | 0.888241 | 0.926667 | 0.378026 | 0.856643 | 0.880859 | 0.77792 | 0.65082 | 0.460504 | 0.881232 | 1 | 0.869347 | 0.934397 | 0.403431 | 0.280899 | 0.898551 | -2.089726 | 0.968569 |
83 | Qwen__Qwen2.5-Coder-7B-Instruct | Qwen | 7B-10B | Instruct | 2024-09 | 0.570603 | 0.430227 | 0.798298 | 0.795451 | 0.502606 | 0.855925 | 0.993333 | 0.297952 | 0.916084 | 0.597656 | 0.498074 | 0.383817 | 0.443697 | 0.907625 | 1 | 0.937186 | 0.886525 | 0.478141 | 0.462079 | 0.808696 | -1.942964 | -0.414128 |
84 | Qwen__QwQ-32B | Qwen | 20B-50B | Reasoning | 2025-03 | 0.390275 | 0.202077 | 0.69554 | 0.582883 | 0.292004 | 0.910458 | 0.35 | 0.26257 | 0.604895 | 0.34375 | 0.264442 | 0.123799 | 0.458824 | 0.710411 | 1 | 0.670854 | 0.737589 | 0.159934 | 0.317416 | 0.857971 | -0.252664 | -1.033309 |
85 | refuelai__Llama-3-Refueled | refuelai | 7B-10B | Instruct | 2024-05 | 0.456347 | 0.424761 | 0.50758 | 0.348715 | 0.593711 | 0.724417 | 0.25 | 0.333333 | 0.342657 | 0.427734 | 0.091142 | 0.359561 | 0.490756 | 0.667889 | 0.037249 | 0.301508 | 0.560284 | 0.194245 | 0.514045 | 0.64058 | 0.415427 | -0.705244 |
86 | rhymes-ai__Aria | rhymes-ai | 20B-50B | Instruct | 2024-09 | 0.60002 | 0.5085 | 0.748471 | 0.72885 | 0.573226 | 0.824955 | 0.653333 | 0.359404 | 0.807692 | 0.429688 | 0.243902 | 0.506937 | 0.478992 | 0.964809 | 0.999045 | 0.708543 | 0.868794 | 0.324848 | 0.438202 | 0.886957 | -1.315074 | -0.135779 |
87 | speakleash__Bielik-11B-v2.3-Instruct | speakleash | 10B-20B | Instruct | 2024-08 | 0.495435 | 0.451052 | 0.567426 | 0.362461 | 0.571608 | 0.866472 | 0.07 | 0.350093 | 0.227273 | 0.527344 | 0.264442 | 0.398855 | 0.497479 | 0.346774 | 0.991404 | 0.201005 | 0.363475 | 0.055894 | 0.455056 | 0.672464 | 1.210558 | -0.177913 |
88 | stabilityai__stablelm-2-zephyr-1_6b | stabilityai | 1B-5B | Instruct | 2024-01 | 0.284405 | 0.237551 | 0.360404 | 0.368843 | 0.330099 | 0.31149 | 0.12 | 0.260708 | 0.293706 | 0.28125 | 0.04878 | 0.191229 | 0.363025 | 0.453812 | 0.860554 | 0.223618 | 0.352837 | 0.049806 | 0.594101 | 0.684058 | 0.638431 | -1.350573 |
89 | teknium__OpenHermes-13B | teknium | 10B-20B | Instruct | 2023-09 | 0.352066 | 0.313747 | 0.414221 | 0.348061 | 0.421743 | 0.484515 | 0.113333 | 0.275605 | 0.356643 | 0.212891 | 0.023107 | 0.277093 | 0.440336 | 0.522727 | 0.536772 | 0.20603 | 0.420213 | 0.073603 | 0.542135 | 0.765217 | 0.633989 | -1.092657 |
90 | teknium__OpenHermes-2.5-Mistral-7B | teknium | 7B-10B | Instruct | 2023-10 | 0.441942 | 0.390981 | 0.524603 | 0.288333 | 0.488769 | 0.85009 | 0.093333 | 0.3054 | 0.20979 | 0.53125 | 0.074454 | 0.355195 | 0.467227 | 0.343842 | 0.60936 | 0.18593 | 0.338652 | 0.046486 | 0.515449 | 0.631884 | 2.065041 | -0.420832 |
91 | TencentARC__LLaMA-Pro-8B | TencentARC | 7B-10B | Instruct | 2024-01 | 0.338541 | 0.251162 | 0.480273 | 0.57912 | 0.344295 | 0.318447 | 0.193333 | 0.27933 | 0.342657 | 0.179688 | 0.029525 | 0.209275 | 0.431933 | 0.994135 | 0.604585 | 0.484925 | 0.492908 | 0.396237 | 0.644663 | 0.6 | -0.7395 | -1.488422 |
92 | TencentARC__LLaMA-Pro-8B-Instruct | TencentARC | 7B-10B | Instruct | 2024-01 | 0.39768 | 0.290681 | 0.571239 | 0.432335 | 0.421563 | 0.763689 | 0.136667 | 0.27933 | 0.346154 | 0.412109 | 0.042362 | 0.223537 | 0.460504 | 0.501466 | 0.99809 | 0.301508 | 0.421986 | 0.069175 | 0.558989 | 0.84058 | 0.588607 | -0.886149 |
93 | tiiuae__Falcon3-7B-Instruct | tiiuae | 7B-10B | Instruct | 2024-11 | 0.647258 | 0.506423 | 0.875698 | 0.942072 | 0.566757 | 0.860637 | 0.98 | 0.297952 | 0.958042 | 0.763672 | 0.544288 | 0.467061 | 0.541176 | 0.980205 | 1 | 0.942211 | 0.984043 | 0.868843 | 0.400281 | 0.884058 | -3.432367 | -0.177687 |
94 | tiiuae__falcon-7b-instruct | tiiuae | 7B-10B | Instruct | 2023-04 | 0.29367 | 0.194807 | 0.45403 | 0.549501 | 0.318598 | 0.274461 | 0.403333 | 0.234637 | 0.321678 | 0.160156 | 0.023107 | 0.129427 | 0.388235 | 0.890029 | 0.803247 | 0.698492 | 0.466312 | 0.159934 | 0.758427 | 0.753623 | -0.406465 | -1.57806 |
95 | TinyLlama__TinyLlama-1.1B-Chat-v1.0 | TinyLlama | 1B-5B | Instruct | 2023-12 | 0.238115 | 0.184367 | 0.325295 | 0.273441 | 0.306379 | 0.322487 | 0.143333 | 0.266294 | 0.213287 | 0.041016 | 0.026958 | 0.122053 | 0.378151 | 0.704545 | 0.232092 | 0.040201 | 0.218085 | 0.043165 | 0.787921 | 0.423188 | 0.979719 | -1.667072 |
96 | togethercomputer__GPT-NeoXT-Chat-Base-20B | togethercomputer | 20B-50B | Instruct | 2023-03 | 0.291033 | 0.193277 | 0.449597 | 0.519719 | 0.333513 | 0.312163 | 0.543333 | 0.221601 | 0.524476 | 0.126953 | 0.032092 | 0.121762 | 0.363025 | 1 | 0.553009 | 0.444724 | 0.52305 | 0.162147 | 0.707865 | 0.449275 | -0.38905 | -1.601116 |
97 | upstage__SOLAR-10.7B-Instruct-v1.0 | upstage | 10B-20B | Instruct | 2023-12 | 0.481064 | 0.401585 | 0.609983 | 0.419735 | 0.520216 | 0.894749 | 0.06 | 0.316574 | 0.304196 | 0.425781 | 0.079589 | 0.363927 | 0.421849 | 0.421554 | 1 | 0.39196 | 0.501773 | 0.05036 | 0.460674 | 0.892754 | 0.860277 | -0.297351 |
98 | WizardLMTeam__WizardLM-13B-V1.2 | WizardLMTeam | 10B-20B | Instruct | 2023-07 | 0.461182 | 0.330363 | 0.673375 | 0.714613 | 0.446002 | 0.639811 | 0.746667 | 0.255121 | 0.629371 | 0.298828 | 0.030809 | 0.287183 | 0.484034 | 0.818182 | 1 | 0.798995 | 0.792553 | 0.401771 | 0.529494 | 0.895652 | -1.141309 | -0.911201 |
99 | WizardLMTeam__WizardLM-70B-V1.0 | WizardLMTeam | 50B-100B | Instruct | 2023-08 | 0.563434 | 0.431976 | 0.776665 | 0.733922 | 0.563522 | 0.883528 | 0.643333 | 0.251397 | 0.692308 | 0.464844 | 0.057766 | 0.39381 | 0.487395 | 0.820381 | 1 | 0.766332 | 0.836879 | 0.468733 | 0.474719 | 0.881159 | -1.316559 | -0.380586 |
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Check out the documentation for more information.
Permitted Use: The data is provided for benchmarking and evaluation purposes only. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Disclaimer: This benchmark measures the latent safety and general reasoning scores of LLMs. The data includes prompts and outputs that may contain biased, toxic, or harmful content. The prompts and outputs were generated using existing benchmarks and third party models, which are subject to the license terms of the original sources. Please refer to the Prompt ID, Model ID, and metadata for source information.
This dataset contains the per-model statistics for the BenchMIRT project. Original benchmarks used in this analysis:
- BBH: paper, data
- GPQA: paper, data
- MMLU-Pro: paper, data
- MATH: paper, data
- MuSR: paper, data
- IFEval: paper, data
- BBQ: paper, data
- Do-Anything-Now: paper, data
- HarmBench: paper, data
- StrongReject: paper, data
- ToxiGen: paper, data
- TrustLLM-JailbreakTrigger: paper, data
- WildGuardTest: paper, data
- WildJailbreak: paper, data
- WMDP: paper, data
- XSTest: paper, data
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