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agi_eval_aqua-rat:mc
|
AMD-Llama-135m
|
external
| false | 135,000,000 | 0.244094 | 1.801358 | -1.248606 |
acc_raw
|
knowledge
| 254 | 0 | 13.340763 |
amd/AMD-Llama-135m
|
main
| null | null | null | null | null | null | null |
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| 2 |
agi_eval_aqua-rat:mc
|
Bielik-11B-v2
|
external
| false | 11,000,000,000 | 0.322835 | 1.110676 | -0.769862 |
acc_raw
|
knowledge
| 254 | 0 | 42.810966 |
speakleash/Bielik-11B-v2
|
main
| null | null | null | null | null | null | null |
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| 3 |
agi_eval_aqua-rat:mc
|
CodeQwen1.5-7B
|
external
| true | 7,000,000,000 | 0.204724 | 1.169067 | -0.810336 |
acc_raw
|
knowledge
| 254 | 0 | 0.022493 |
Qwen/CodeQwen1.5-7B
|
main
| 7,000,000,000 | null | null | null | null | null | null |
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|
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| 5 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-150M-5xC-2
|
datadecide
| false | 150,000,000 | 0.216535 | 1.34401 | -0.931596 |
acc_raw
|
knowledge
| 254 | 0 | 3.202815 |
allenai/DataDecide-dclm-baseline-150M
|
step33750-seed-default
| 151,898,880 | 15,003,942,912 | 13,674,492,743,500,431,000 | 33,750 |
DCLM-baseline
|
150M
|
5xC
|
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| 7 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-150M-5xC-2
|
datadecide
| false | 150,000,000 | 0.200787 | 1.355991 | -0.939901 |
acc_raw
|
knowledge
| 254 | 0 | 3.197284 |
allenai/DataDecide-dclm-baseline-150M
|
step35000-seed-default
| 151,898,880 | 15,003,942,912 | 13,674,492,743,500,431,000 | 35,000 |
DCLM-baseline
|
150M
|
5xC
|
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|
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| 8 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-150M-5xC-2
|
datadecide
| false | 150,000,000 | 0.228346 | 1.381415 | -0.957524 |
acc_raw
|
knowledge
| 254 | 0 | 0.020857 |
allenai/DataDecide-dclm-baseline-150M
|
step36250-seed-default
| 151,898,880 | 15,003,942,912 | 13,674,492,743,500,431,000 | 36,250 |
DCLM-baseline
|
150M
|
5xC
|
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| 9 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-150M-5xC-2
|
datadecide
| false | 150,000,000 | 0.216535 | 1.350656 | -0.936204 |
acc_raw
|
knowledge
| 254 | 0 | 0.020318 |
allenai/DataDecide-dclm-baseline-150M
|
step37500-seed-default
| 151,898,880 | 15,003,942,912 | 13,674,492,743,500,431,000 | 37,500 |
DCLM-baseline
|
150M
|
5xC
|
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| 10 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-150M-5xC-2
|
datadecide
| false | 150,000,000 | 0.224409 | 1.335796 | -0.925903 |
acc_raw
|
knowledge
| 254 | 0 | 0.019656 |
allenai/DataDecide-dclm-baseline-150M
|
step38157-seed-default
| 151,898,880 | 15,003,942,912 | 13,674,492,743,500,431,000 | 38,157 |
DCLM-baseline
|
150M
|
5xC
|
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| 11 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-1B-5xC-2
|
datadecide
| false | 1,000,000,000 | 0.212598 | 1.189306 | -0.824364 |
acc_raw
|
knowledge
| 254 | 0 | 0.020006 |
allenai/DataDecide-dclm-baseline-1B
|
step60000-seed-default
| 1,176,832,000 | 100,015,669,248 | 706,209,840,434,774,000,000 | 60,000 |
DCLM-baseline
|
1B
|
5xC
|
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|
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}
| 12 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-1B-5xC-2
|
datadecide
| false | 1,000,000,000 | 0.216535 | 1.175305 | -0.814659 |
acc_raw
|
knowledge
| 254 | 0 | 0.019589 |
allenai/DataDecide-dclm-baseline-1B
|
step62500-seed-default
| 1,176,832,000 | 100,015,669,248 | 706,209,840,434,774,000,000 | 62,500 |
DCLM-baseline
|
1B
|
5xC
|
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|
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}
| 13 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-1B-5xC-2
|
datadecide
| false | 1,000,000,000 | 0.208661 | 1.196495 | -0.829347 |
acc_raw
|
knowledge
| 254 | 0 | 9.293114 |
allenai/DataDecide-dclm-baseline-1B
|
step65000-seed-default
| 1,176,832,000 | 100,015,669,248 | 706,209,840,434,774,000,000 | 65,000 |
DCLM-baseline
|
1B
|
5xC
|
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|
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| 14 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-1B-5xC-2
|
datadecide
| false | 1,000,000,000 | 0.204724 | 1.207278 | -0.836821 |
acc_raw
|
knowledge
| 254 | 0 | 9.289337 |
allenai/DataDecide-dclm-baseline-1B
|
step67500-seed-default
| 1,176,832,000 | 100,015,669,248 | 706,209,840,434,774,000,000 | 67,500 |
DCLM-baseline
|
1B
|
5xC
|
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}
|
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| 15 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-1B-5xC-2
|
datadecide
| false | 1,000,000,000 | 0.19685 | 1.209813 | -0.838578 |
acc_raw
|
knowledge
| 254 | 0 | 9.296574 |
allenai/DataDecide-dclm-baseline-1B
|
step69369-seed-default
| 1,176,832,000 | 100,015,669,248 | 706,209,840,434,774,000,000 | 69,369 |
DCLM-baseline
|
1B
|
5xC
|
{
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|
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| 16 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-20M-5xC
|
datadecide
| false | 20,000,000 | 0.228346 | 1.628618 | -1.128872 |
acc_raw
|
knowledge
| 254 | 0 | 2.381514 |
allenai/DataDecide-dclm-baseline-20M
|
step11250-seed-default
| 19,101,888 | 1,911,554,048 | 219,085,747,985,055,740 | 11,250 |
DCLM-baseline
|
20M
|
5xC
|
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|
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| 17 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-20M-5xC
|
datadecide
| false | 20,000,000 | 0.228346 | 1.596814 | -1.106827 |
acc_raw
|
knowledge
| 254 | 0 | 2.399529 |
allenai/DataDecide-dclm-baseline-20M
|
step12500-seed-default
| 19,101,888 | 1,911,554,048 | 219,085,747,985,055,740 | 12,500 |
DCLM-baseline
|
20M
|
5xC
|
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|
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| 18 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-20M-5xC
|
datadecide
| false | 20,000,000 | 0.220472 | 1.54546 | -1.071231 |
acc_raw
|
knowledge
| 254 | 0 | 2.354517 |
allenai/DataDecide-dclm-baseline-20M
|
step13750-seed-default
| 19,101,888 | 1,911,554,048 | 219,085,747,985,055,740 | 13,750 |
DCLM-baseline
|
20M
|
5xC
|
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| 19 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-20M-5xC
|
datadecide
| false | 20,000,000 | 0.224409 | 1.557237 | -1.079394 |
acc_raw
|
knowledge
| 254 | 0 | 2.358639 |
allenai/DataDecide-dclm-baseline-20M
|
step14584-seed-default
| 19,101,888 | 1,911,554,048 | 219,085,747,985,055,740 | 14,584 |
DCLM-baseline
|
20M
|
5xC
|
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|
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| 20 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-20M-5xC
|
datadecide
| false | 20,000,000 | 0.224409 | 1.579323 | -1.094703 |
acc_raw
|
knowledge
| 254 | 0 | 2.420793 |
allenai/DataDecide-dclm-baseline-20M
|
step14594-seed-default
| 19,101,888 | 1,911,554,048 | 219,085,747,985,055,740 | 14,594 |
DCLM-baseline
|
20M
|
5xC
|
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|
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| 21 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-300M-5xC-2
|
datadecide
| false | 300,000,000 | 0.248031 | 1.351363 | -0.936694 |
acc_raw
|
knowledge
| 254 | 0 | 0.019636 |
allenai/DataDecide-dclm-baseline-300M
|
step41250-seed-default
| 319,980,544 | 30,006,968,320 | 57,609,876,280,946,200,000 | 41,250 |
DCLM-baseline
|
300M
|
5xC
|
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|
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| 22 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-300M-5xC-2
|
datadecide
| false | 300,000,000 | 0.185039 | 1.384101 | -0.959386 |
acc_raw
|
knowledge
| 254 | 0 | 0.019714 |
allenai/DataDecide-dclm-baseline-300M
|
step42500-seed-default
| 319,980,544 | 30,006,968,320 | 57,609,876,280,946,200,000 | 42,500 |
DCLM-baseline
|
300M
|
5xC
|
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|
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| 23 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-300M-5xC-2
|
datadecide
| false | 300,000,000 | 0.200787 | 1.341672 | -0.929976 |
acc_raw
|
knowledge
| 254 | 0 | 4.469081 |
allenai/DataDecide-dclm-baseline-300M
|
step43750-seed-default
| 319,980,544 | 30,006,968,320 | 57,609,876,280,946,200,000 | 43,750 |
DCLM-baseline
|
300M
|
5xC
|
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|
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| 24 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-300M-5xC-2
|
datadecide
| false | 300,000,000 | 0.240157 | 1.371095 | -0.95037 |
acc_raw
|
knowledge
| 254 | 0 | 0.021196 |
allenai/DataDecide-dclm-baseline-300M
|
step45000-seed-default
| 319,980,544 | 30,006,968,320 | 57,609,876,280,946,200,000 | 45,000 |
DCLM-baseline
|
300M
|
5xC
|
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|
{
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| 25 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-300M-5xC-2
|
datadecide
| false | 300,000,000 | 0.228346 | 1.380095 | -0.956609 |
acc_raw
|
knowledge
| 254 | 0 | 0.019809 |
allenai/DataDecide-dclm-baseline-300M
|
step45787-seed-default
| 319,980,544 | 30,006,968,320 | 57,609,876,280,946,200,000 | 45,787 |
DCLM-baseline
|
300M
|
5xC
|
{
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| 26 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-4M-5xC
|
datadecide
| false | 4,000,000 | 0.248031 | 4.348393 | -3.014076 |
acc_raw
|
knowledge
| 254 | 0 | 2.186376 |
allenai/DataDecide-dclm-baseline-4M
|
step3750-seed-default
| 3,744,832 | 375,193,600 | 8,430,221,996,851,200 | 3,750 |
DCLM-baseline
|
4M
|
5xC
|
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| 27 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-4M-5xC
|
datadecide
| false | 4,000,000 | 0.248031 | 3.98533 | -2.76242 |
acc_raw
|
knowledge
| 254 | 0 | 2.148501 |
allenai/DataDecide-dclm-baseline-4M
|
step5000-seed-default
| 3,744,832 | 375,193,600 | 8,430,221,996,851,200 | 5,000 |
DCLM-baseline
|
4M
|
5xC
|
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|
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| 28 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-4M-5xC
|
datadecide
| false | 4,000,000 | 0.248031 | 4.09368 | -2.837523 |
acc_raw
|
knowledge
| 254 | 0 | 2.169446 |
allenai/DataDecide-dclm-baseline-4M
|
step5725-seed-default
| 3,744,832 | 375,193,600 | 8,430,221,996,851,200 | 5,725 |
DCLM-baseline
|
4M
|
5xC
|
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|
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| 29 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-4M-5xC
|
datadecide
| false | 4,000,000 | 0.248031 | 4.104833 | -2.845253 |
acc_raw
|
knowledge
| 254 | 0 | 2.16977 |
allenai/DataDecide-dclm-baseline-4M
|
step5735-seed-default
| 3,744,832 | 375,193,600 | 8,430,221,996,851,200 | 5,735 |
DCLM-baseline
|
4M
|
5xC
|
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|
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| 30 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-4M-5xC
|
datadecide
| false | 4,000,000 | 0.248031 | 4.078714 | -2.827149 |
acc_raw
|
knowledge
| 254 | 0 | 2.171196 |
allenai/DataDecide-dclm-baseline-4M
|
step5745-seed-default
| 3,744,832 | 375,193,600 | 8,430,221,996,851,200 | 5,745 |
DCLM-baseline
|
4M
|
5xC
|
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|
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| 31 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-530M-5xC-2
|
datadecide
| false | 530,000,000 | 0.19685 | 1.182045 | -0.819331 |
acc_raw
|
knowledge
| 254 | 0 | 0.019724 |
allenai/DataDecide-dclm-baseline-530M
|
step53750-seed-default
| 530,074,944 | 53,018,886,144 | 168,623,898,622,339,060,000 | 53,750 |
DCLM-baseline
|
530M
|
5xC
|
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|
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| 32 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-530M-5xC-2
|
datadecide
| false | 530,000,000 | 0.185039 | 1.180775 | -0.818451 |
acc_raw
|
knowledge
| 254 | 0 | 0.019744 |
allenai/DataDecide-dclm-baseline-530M
|
step55000-seed-default
| 530,074,944 | 53,018,886,144 | 168,623,898,622,339,060,000 | 55,000 |
DCLM-baseline
|
530M
|
5xC
|
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| 33 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-530M-5xC-2
|
datadecide
| false | 530,000,000 | 0.181102 | 1.172968 | -0.81304 |
acc_raw
|
knowledge
| 254 | 0 | 0.01976 |
allenai/DataDecide-dclm-baseline-530M
|
step56250-seed-default
| 530,074,944 | 53,018,886,144 | 168,623,898,622,339,060,000 | 56,250 |
DCLM-baseline
|
530M
|
5xC
|
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| 34 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-530M-5xC-2
|
datadecide
| false | 530,000,000 | 0.173228 | 1.180914 | -0.818547 |
acc_raw
|
knowledge
| 254 | 0 | 0.021867 |
allenai/DataDecide-dclm-baseline-530M
|
step57500-seed-default
| 530,074,944 | 53,018,886,144 | 168,623,898,622,339,060,000 | 57,500 |
DCLM-baseline
|
530M
|
5xC
|
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| 35 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-530M-5xC-2
|
datadecide
| false | 530,000,000 | 0.177165 | 1.17602 | -0.815155 |
acc_raw
|
knowledge
| 254 | 0 | 0.020405 |
allenai/DataDecide-dclm-baseline-530M
|
step57776-seed-default
| 530,074,944 | 53,018,886,144 | 168,623,898,622,339,060,000 | 57,776 |
DCLM-baseline
|
530M
|
5xC
|
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| 36 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-60M-5xC
|
datadecide
| false | 60,000,000 | 0.181102 | 1.616982 | -1.120806 |
acc_raw
|
knowledge
| 254 | 0 | 2.961163 |
allenai/DataDecide-dclm-baseline-60M
|
step26250-seed-default
| 57,078,144 | 5,709,889,536 | 1,955,459,382,959,407,000 | 26,250 |
DCLM-baseline
|
60M
|
5xC
|
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|
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| 37 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-60M-5xC
|
datadecide
| false | 60,000,000 | 0.181102 | 1.54322 | -1.069678 |
acc_raw
|
knowledge
| 254 | 0 | 2.921052 |
allenai/DataDecide-dclm-baseline-60M
|
step27500-seed-default
| 57,078,144 | 5,709,889,536 | 1,955,459,382,959,407,000 | 27,500 |
DCLM-baseline
|
60M
|
5xC
|
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| 38 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-60M-5xC
|
datadecide
| false | 60,000,000 | 0.185039 | 1.533246 | -1.062765 |
acc_raw
|
knowledge
| 254 | 0 | 2.948492 |
allenai/DataDecide-dclm-baseline-60M
|
step28750-seed-default
| 57,078,144 | 5,709,889,536 | 1,955,459,382,959,407,000 | 28,750 |
DCLM-baseline
|
60M
|
5xC
|
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|
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| 39 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-60M-5xC
|
datadecide
| false | 60,000,000 | 0.185039 | 1.538885 | -1.066674 |
acc_raw
|
knowledge
| 254 | 0 | 2.936947 |
allenai/DataDecide-dclm-baseline-60M
|
step29042-seed-default
| 57,078,144 | 5,709,889,536 | 1,955,459,382,959,407,000 | 29,042 |
DCLM-baseline
|
60M
|
5xC
|
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|
{
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| 40 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-60M-5xC
|
datadecide
| false | 60,000,000 | 0.185039 | 1.540237 | -1.067611 |
acc_raw
|
knowledge
| 254 | 0 | 0.019852 |
allenai/DataDecide-dclm-baseline-60M
|
step29052-seed-default
| 57,078,144 | 5,709,889,536 | 1,955,459,382,959,407,000 | 29,052 |
DCLM-baseline
|
60M
|
5xC
|
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}
| 41 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-750M-5xC-2
|
datadecide
| false | 750,000,000 | 0.188976 | 1.173647 | -0.81351 |
acc_raw
|
knowledge
| 254 | 0 | 6.665378 |
allenai/DataDecide-dclm-baseline-750M
|
step58750-seed-default
| 681,297,408 | 75,012,636,672 | 306,635,489,591,276,100,000 | 58,750 |
DCLM-baseline
|
750M
|
5xC
|
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| 42 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-750M-5xC-2
|
datadecide
| false | 750,000,000 | 0.200787 | 1.177345 | -0.816074 |
acc_raw
|
knowledge
| 254 | 0 | 6.499924 |
allenai/DataDecide-dclm-baseline-750M
|
step60000-seed-default
| 681,297,408 | 75,012,636,672 | 306,635,489,591,276,100,000 | 60,000 |
DCLM-baseline
|
750M
|
5xC
|
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|
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| 43 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-750M-5xC-2
|
datadecide
| false | 750,000,000 | 0.200787 | 1.17626 | -0.815321 |
acc_raw
|
knowledge
| 254 | 0 | 6.415148 |
allenai/DataDecide-dclm-baseline-750M
|
step61250-seed-default
| 681,297,408 | 75,012,636,672 | 306,635,489,591,276,100,000 | 61,250 |
DCLM-baseline
|
750M
|
5xC
|
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|
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| 44 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-750M-5xC-2
|
datadecide
| false | 750,000,000 | 0.181102 | 1.181854 | -0.819199 |
acc_raw
|
knowledge
| 254 | 0 | 0.019875 |
allenai/DataDecide-dclm-baseline-750M
|
step62500-seed-default
| 681,297,408 | 75,012,636,672 | 306,635,489,591,276,100,000 | 62,500 |
DCLM-baseline
|
750M
|
5xC
|
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|
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| 45 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-750M-5xC-2
|
datadecide
| false | 750,000,000 | 0.188976 | 1.178986 | -0.817211 |
acc_raw
|
knowledge
| 254 | 0 | 6.547774 |
allenai/DataDecide-dclm-baseline-750M
|
step63589-seed-default
| 681,297,408 | 75,012,636,672 | 306,635,489,591,276,100,000 | 63,589 |
DCLM-baseline
|
750M
|
5xC
|
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|
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| 46 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-90M-5xC
|
datadecide
| false | 90,000,000 | 0.19685 | 1.42521 | -0.98788 |
acc_raw
|
knowledge
| 254 | 0 | 0.019603 |
allenai/DataDecide-dclm-baseline-90M
|
step25000-seed-default
| 97,946,640 | 9,797,959,680 | 5,758,063,377,068,851,000 | 25,000 |
DCLM-baseline
|
90M
|
5xC
|
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|
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| 47 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-90M-5xC
|
datadecide
| false | 90,000,000 | 0.212598 | 1.440884 | -0.998745 |
acc_raw
|
knowledge
| 254 | 0 | 3.084481 |
allenai/DataDecide-dclm-baseline-90M
|
step26250-seed-default
| 97,946,640 | 9,797,959,680 | 5,758,063,377,068,851,000 | 26,250 |
DCLM-baseline
|
90M
|
5xC
|
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}
| 48 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-90M-5xC
|
datadecide
| false | 90,000,000 | 0.188976 | 1.393661 | -0.966012 |
acc_raw
|
knowledge
| 254 | 0 | 3.051489 |
allenai/DataDecide-dclm-baseline-90M
|
step27500-seed-default
| 97,946,640 | 9,797,959,680 | 5,758,063,377,068,851,000 | 27,500 |
DCLM-baseline
|
90M
|
5xC
|
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|
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}
| 49 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-90M-5xC
|
datadecide
| false | 90,000,000 | 0.181102 | 1.422052 | -0.985691 |
acc_raw
|
knowledge
| 254 | 0 | 3.013278 |
allenai/DataDecide-dclm-baseline-90M
|
step28750-seed-default
| 97,946,640 | 9,797,959,680 | 5,758,063,377,068,851,000 | 28,750 |
DCLM-baseline
|
90M
|
5xC
|
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|
{
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| 50 |
agi_eval_aqua-rat:mc
|
DCLM-baseline-90M-5xC
|
datadecide
| false | 90,000,000 | 0.173228 | 1.429273 | -0.990696 |
acc_raw
|
knowledge
| 254 | 0 | 3.133163 |
allenai/DataDecide-dclm-baseline-90M
|
step29901-seed-default
| 97,946,640 | 9,797,959,680 | 5,758,063,377,068,851,000 | 29,901 |
DCLM-baseline
|
90M
|
5xC
|
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|
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| 51 |
agi_eval_aqua-rat:mc
|
DeciLM-7B
|
external
| false | 7,000,000,000 | 0.291339 | 1.138913 | -0.789434 |
acc_raw
|
knowledge
| 254 | 0 | 0.025726 |
Deci/DeciLM-7B
|
main
| null | null | null | null | null | null | null |
{
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},
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"model_path": "Deci/DeciLM-7B",
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"trust_remote_code": true
}
|
{
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| 52 |
agi_eval_aqua-rat:mc
|
Falcon3-10B-Base
|
external
| false | 10,000,000,000 | 0.385827 | 1.042124 | -0.722345 |
acc_raw
|
knowledge
| 254 | 0 | 41.165283 |
tiiuae/Falcon3-10B-Base
|
main
| null | null | null | null | null | null | null |
{
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},
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"model_type": "vllm",
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}
|
{
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| 53 |
agi_eval_aqua-rat:mc
|
Falcon3-3B-Base
|
external
| false | 3,000,000,000 | 0.275591 | 1.133731 | -0.785842 |
acc_raw
|
knowledge
| 254 | 0 | 23.683381 |
tiiuae/Falcon3-3B-Base
|
main
| null | null | null | null |
Falcon3
|
3B
| null |
{
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|
{
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| 55 |
agi_eval_aqua-rat:mc
|
Falcon3-Mamba-7B-Base
|
external
| false | 7,000,000,000 | 0.34252 | 1.081798 | -0.749845 |
acc_raw
|
knowledge
| 254 | 0 | 0.0285 |
tiiuae/Falcon3-Mamba-7B-Base
|
main
| null | null | null | null | null | null | null |
{
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|
{
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| 57 |
agi_eval_aqua-rat:mc
|
Llama-2-13b-hf
|
external
| false | 13,000,000,000 | 0.200787 | 1.1723 | -0.812576 |
acc_raw
|
knowledge
| 254 | 0 | 25.34047 |
meta-llama/Llama-2-13b-hf
|
main
| null | null | null | null | null | null | null |
{
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"model_path": "meta-llama/Llama-2-13b-hf",
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|
{
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 66 |
agi_eval_aqua-rat:mc
|
Llama-2-7b-hf
|
external
| false | 7,000,000,000 | 0.240157 | 1.158598 | -0.803079 |
acc_raw
|
knowledge
| 254 | 0 | 29.294562 |
meta-llama/Llama-2-7b-hf
|
main
| null | null | null | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "llama2-7b",
"model_size": null
},
"model": "meta-llama/Llama-2-7b-hf",
"model_path": "meta-llama/Llama-2-7b-hf",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.24015748031496062,
"acc_per_token": 0.24015748031496062,
"acc_raw": 0.24015748031496062,
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"exact_match_flex_sub_2022": null,
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"logits_per_byte_corr": null,
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"primary_score": 0.24015748031496062,
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"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 67 |
agi_eval_aqua-rat:mc
|
Llama-3.1-70B
|
external
| true | 70,000,000,000 | 0.350394 | 1.063502 | -0.737164 |
acc_raw
|
knowledge
| 254 | 0 | 67.410912 |
meta-llama/Llama-3.1-70B
|
main
| 70,000,000,000 | 15,000,000,000,000 | 6,300,000,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "llama-3.1-70b",
"model_size": null
},
"model": "meta-llama/Llama-3.1-70B",
"model_path": "meta-llama/Llama-3.1-70B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.35039370078740156,
"acc_per_token": 0.35039370078740156,
"acc_raw": 0.35039370078740156,
"acc_uncond": null,
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"exact_match_flex_sub_2022": null,
"exact_match_flex_sub_2023": null,
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"f1_sub_mctest": null,
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"logits_per_byte_corr": 1.063502476440711,
"logits_per_char_corr": -0.7371637430628688,
"max_token_count": null,
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"primary_score": 0.35039370078740156,
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"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 69 |
agi_eval_aqua-rat:mc
|
Llama-3.1-8B
|
external
| true | 8,000,000,000 | 0.287402 | 1.131831 | -0.784525 |
acc_raw
|
knowledge
| 254 | 0 | 20.914992 |
meta-llama/Llama-3.1-8B
|
main
| 8,000,000,000 | 15,000,000,000,000 | 720,000,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "llama-3.1-8b",
"model_size": null
},
"model": "meta-llama/Llama-3.1-8B",
"model_path": "meta-llama/Llama-3.1-8B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.2874015748031496,
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"logits_per_byte_corr": 1.1318305141276859,
"logits_per_char_corr": -0.7845251297387551,
"max_token_count": null,
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"primary_score": 0.2874015748031496,
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"twitterAAE_HELM_fixed__white_bits_per_byte": null,
"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 70 |
agi_eval_aqua-rat:mc
|
Llama-3.2-1B
|
external
| true | 1,000,000,000 | 0.188976 | 1.175692 | -0.814928 |
acc_raw
|
knowledge
| 254 | 0 | 14.830505 |
meta-llama/Llama-3.2-1B
|
main
| 1,000,000,000 | 9,000,000,000,000 | 54,000,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "llama3.2-1b",
"model_size": null
},
"model": "meta-llama/Llama-3.2-1B",
"model_path": "meta-llama/Llama-3.2-1B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.1889763779527559,
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"acc_raw": 0.1889763779527559,
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"primary_score": 0.1889763779527559,
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"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 71 |
agi_eval_aqua-rat:mc
|
Llama-3.2-3B
|
external
| true | 3,000,000,000 | 0.255906 | 1.158039 | -0.802692 |
acc_raw
|
knowledge
| 254 | 0 | 20.144862 |
meta-llama/Llama-3.2-3B
|
main
| 3,000,000,000 | 9,000,000,000,000 | 162,000,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "llama3.2-3b",
"model_size": null
},
"model": "meta-llama/Llama-3.2-3B",
"model_path": "meta-llama/Llama-3.2-3B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.2559055118110236,
"acc_per_token": 0.2559055118110236,
"acc_raw": 0.2559055118110236,
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"primary_score": 0.2559055118110236,
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"twitterAAE_HELM_fixed__white_ppl_byte": null,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 72 |
agi_eval_aqua-rat:mc
|
Mathstral-7B-v0.1
|
external
| true | 7,000,000,000 | 0.251969 | 1.156793 | -0.801828 |
acc_raw
|
knowledge
| 254 | 0 | 19.711897 |
mistralai/Mathstral-7B-v0.1
|
main
| 7,000,000,000 | null | null | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "mathstral-7b-v0.1",
"model_size": null
},
"model": "mistralai/Mathstral-7B-v0.1",
"model_path": "mistralai/Mathstral-7B-v0.1",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.25196850393700787,
"acc_per_token": 0.25196850393700787,
"acc_raw": 0.25196850393700787,
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"exact_match_sub_mctest": null,
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"logits_per_byte_corr": 1.1567932481289254,
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"primary_score": 0.25196850393700787,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 76 |
agi_eval_aqua-rat:mc
|
Meta-Llama-3-70B
|
external
| false | 70,000,000,000 | 0.38189 | 1.036605 | -0.71852 |
acc_raw
|
knowledge
| 254 | 0 | 65.348104 |
meta-llama/Meta-Llama-3-70B
|
main
| null | null | null | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "llama3-70b",
"model_size": null
},
"model": "meta-llama/Meta-Llama-3-70B",
"model_path": "meta-llama/Meta-Llama-3-70B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.38188976377952755,
"acc_per_token": 0.38188976377952755,
"acc_raw": 0.38188976377952755,
"acc_uncond": null,
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"primary_score": 0.38188976377952755,
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"twitterAAE_HELM_fixed__white_ppl_byte": null,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 77 |
agi_eval_aqua-rat:mc
|
Meta-Llama-3-8B
|
external
| true | 8,000,000,000 | 0.326772 | 1.128489 | -0.782209 |
acc_raw
|
knowledge
| 254 | 0 | 29.683881 |
meta-llama/Meta-Llama-3-8B
|
main
| 8,000,000,000 | 15,000,000,000,000 | 720,000,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "llama3-8b",
"model_size": null
},
"model": "meta-llama/Meta-Llama-3-8B",
"model_path": "meta-llama/Meta-Llama-3-8B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.32677165354330706,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 78 |
agi_eval_aqua-rat:mc
|
Meta-Llama-3.1-70B
|
external
| false | 70,000,000,000 | 0.350394 | 1.069659 | -0.741431 |
acc_raw
|
knowledge
| 254 | 0 | 64.275595 |
meta-llama/Meta-Llama-3.1-70B
|
main
| null | null | null | null | null | null | null |
{
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"metadata": {
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},
"model": "meta-llama/Meta-Llama-3.1-70B",
"model_path": "meta-llama/Meta-Llama-3.1-70B",
"model_type": "vllm",
"revision": null,
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}
|
{
"acc_per_char": 0.35039370078740156,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 79 |
agi_eval_aqua-rat:mc
|
Meta-Llama-3.1-8B
|
external
| false | 8,000,000,000 | 0.255906 | 1.132024 | -0.784659 |
acc_raw
|
knowledge
| 254 | 0 | 29.450249 |
meta-llama/Meta-Llama-3.1-8B
|
main
| null | null | null | null | null | null | null |
{
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"metadata": {
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},
"model": "meta-llama/Meta-Llama-3.1-8B",
"model_path": "meta-llama/Meta-Llama-3.1-8B",
"model_type": "vllm",
"revision": null,
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}
|
{
"acc_per_char": 0.2559055118110236,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 80 |
agi_eval_aqua-rat:mc
|
Mixtral-8x22B-v0.1
|
external
| true | 22,000,000,000 | 0.362205 | 1.066826 | -0.739467 |
acc_raw
|
knowledge
| 254 | 0 | 39.137972 |
mistralai/Mixtral-8x22B-v0.1
|
main
| 22,000,000,000 | null | null | null | null | null | null |
{
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"metadata": {
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},
"model": "mistralai/Mixtral-8x22B-v0.1",
"model_path": "mistralai/Mixtral-8x22B-v0.1",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
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}
| 94 |
agi_eval_aqua-rat:mc
|
Mixtral-8x7B-v0.1
|
external
| true | 7,000,000,000 | 0.283465 | 1.143872 | -0.792872 |
acc_raw
|
knowledge
| 254 | 0 | 26.864495 |
mistralai/Mixtral-8x7B-v0.1
|
main
| 7,000,000,000 | null | null | null | null | null | null |
{
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"gpu_memory_utilization": 0.7,
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"metadata": {
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},
"model": "mistralai/Mixtral-8x7B-v0.1",
"model_path": "mistralai/Mixtral-8x7B-v0.1",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
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"logits_per_byte_corr": 1.1438720165400074,
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}
| 95 |
agi_eval_aqua-rat:mc
|
MobileLLM-125M-HF
|
external
| false | 125,000,000 | 0.220472 | 1.255582 | -0.870303 |
acc_raw
|
knowledge
| 254 | 0 | 13.451424 |
vonjack/MobileLLM-125M-HF
|
main
| null | null | null | null | null | null | null |
{
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"max_length": 2048,
"metadata": {
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},
"model": "vonjack/MobileLLM-125M-HF",
"model_path": "vonjack/MobileLLM-125M-HF",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.2204724409448819,
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}
| 96 |
agi_eval_aqua-rat:mc
|
Nemotron-4-Mini-Hindi-4B-Base
|
external
| false | 4,000,000,000 | 0.350394 | 1.08185 | -0.749881 |
acc_raw
|
knowledge
| 254 | 0 | 27.281382 |
jebish7/Nemotron-4-Mini-Hindi-4B-Base
|
main
| null | null | null | null | null | null | null |
{
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"metadata": {
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},
"model": "jebish7/Nemotron-4-Mini-Hindi-4B-Base",
"model_path": "jebish7/Nemotron-4-Mini-Hindi-4B-Base",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
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}
| 98 |
agi_eval_aqua-rat:mc
|
OLMo-1B-0724-hf
|
external
| false | 1,000,000,000 | 0.204724 | 2.178135 | -1.509768 |
acc_raw
|
knowledge
| 254 | 0 | 12.661862 |
allenai/OLMo-1B-0724-hf
|
main
| null | null | null | null |
OLMo
|
1B
| null |
{
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"metadata": {
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},
"model": "allenai/OLMo-1B-0724-hf",
"model_path": "allenai/OLMo-1B-0724-hf",
"model_type": "vllm",
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}
|
{
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}
| 101 |
agi_eval_aqua-rat:mc
|
OLMo-1B-hf
|
external
| true | 1,000,000,000 | 0.169291 | 1.317051 | -0.91291 |
acc_raw
|
knowledge
| 254 | 0 | 12.289532 |
allenai/OLMo-1B-hf
|
main
| 1,000,000,000 | 3,000,000,000,000 | 18,000,000,000,000,000,000,000 | null |
OLMo
|
1B
| null |
{
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"metadata": {
"alias": "olmo-1b",
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},
"model": "allenai/OLMo-1B-hf",
"model_path": "allenai/OLMo-1B-hf",
"model_type": "vllm",
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}
|
{
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 102 |
agi_eval_aqua-rat:mc
|
OLMo-2-1124-13B
|
external
| true | 13,000,000,000 | 0.299213 | 1.113017 | -0.771485 |
acc_raw
|
knowledge
| 254 | 0 | 34.438979 |
allenai/OLMo-2-1124-13B
|
main
| 13,000,000,000 | 5,000,000,000,000 | 390,000,000,000,000,000,000,000 | null | null | null | null |
{
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"max_length": 2048,
"metadata": {
"alias": "olmo-2-1124-13b",
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},
"model": "allenai/OLMo-2-1124-13B",
"model_path": "allenai/OLMo-2-1124-13B",
"model_type": "vllm",
"revision": null,
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}
|
{
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 104 |
agi_eval_aqua-rat:mc
|
OLMo-2-1124-7B
|
external
| true | 7,000,000,000 | 0.251969 | 1.148454 | -0.796048 |
acc_raw
|
knowledge
| 254 | 0 | 26.002349 |
allenai/OLMo-2-1124-7B
|
main
| 7,000,000,000 | 4,000,000,000,000 | 168,000,000,000,000,000,000,000 | null | null | null | null |
{
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"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "olmo-2-1124-7b",
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},
"model": "allenai/OLMo-2-1124-7B",
"model_path": "allenai/OLMo-2-1124-7B",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 105 |
agi_eval_aqua-rat:mc
|
OLMo-7B-0424-hf
|
external
| true | 7,000,000,000 | 0.224409 | 1.149859 | -0.797021 |
acc_raw
|
knowledge
| 254 | 0 | 0.02205 |
allenai/OLMo-7B-0424-hf
|
main
| 7,000,000,000 | 2,500,000,000,000 | 105,000,000,000,000,000,000,000 | null | null | null | null |
{
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"max_length": 2048,
"metadata": {
"alias": "olmo-7b-0424",
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},
"model": "allenai/OLMo-7B-0424-hf",
"model_path": "allenai/OLMo-7B-0424-hf",
"model_type": "vllm",
"revision": null,
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}
|
{
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 106 |
agi_eval_aqua-rat:mc
|
OLMo-7B-0724-hf
|
external
| true | 7,000,000,000 | 0.248031 | 1.150291 | -0.797321 |
acc_raw
|
knowledge
| 254 | 0 | 27.147031 |
allenai/OLMo-7B-0724-hf
|
main
| 7,000,000,000 | 2,750,000,000,000 | 115,500,000,000,000,000,000,000 | null | null | null | null |
{
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"max_length": 2048,
"metadata": {
"alias": "olmo-7b-0724",
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},
"model": "allenai/OLMo-7B-0724-hf",
"model_path": "allenai/OLMo-7B-0724-hf",
"model_type": "vllm",
"revision": null,
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}
|
{
"acc_per_char": 0.24803149606299213,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 107 |
agi_eval_aqua-rat:mc
|
OLMo-7B-Twin-2T-hf
|
external
| true | 7,000,000,000 | 0.149606 | 1.212002 | -0.840096 |
acc_raw
|
knowledge
| 254 | 0 | 17.359545 |
allenai/OLMo-7B-Twin-2T-hf
|
main
| 7,000,000,000 | 2,000,000,000,000 | 84,000,000,000,000,000,000,000 | null | null | null | null |
{
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"max_length": 2048,
"metadata": {
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},
"model": "allenai/OLMo-7B-Twin-2T-hf",
"model_path": "allenai/OLMo-7B-Twin-2T-hf",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
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"logits_per_byte_corr": 1.2120023234584594,
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"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 108 |
agi_eval_aqua-rat:mc
|
OLMo-7B-hf
|
external
| true | 7,000,000,000 | 0.224409 | 1.170041 | -0.811011 |
acc_raw
|
knowledge
| 254 | 0 | 25.759016 |
allenai/OLMo-7B-hf
|
main
| 7,000,000,000 | 2,500,000,000,000 | 105,000,000,000,000,000,000,000 | null | null | null | null |
{
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"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
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},
"model": "allenai/OLMo-7B-hf",
"model_path": "allenai/OLMo-7B-hf",
"model_type": "vllm",
"revision": null,
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}
|
{
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}
| 109 |
agi_eval_aqua-rat:mc
|
OLMoE-1B-7B-0924
|
external
| false | 1,000,000,000 | 0.220472 | 1.15726 | -0.802152 |
acc_raw
|
knowledge
| 254 | 0 | 17.679828 |
allenai/OLMoE-1B-7B-0924
|
main
| null | null | null | null |
OLMoE
|
1B
| null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "olmoe-1b-7b-0924",
"model_size": "7b"
},
"model": "allenai/OLMoE-1B-7B-0924",
"model_path": "allenai/OLMoE-1B-7B-0924",
"model_type": "vllm",
"revision": null,
"trust_remote_code": null
}
|
{
"acc_per_char": 0.2204724409448819,
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}
| 110 |
agi_eval_aqua-rat:mc
|
Orca-2-13b
|
external
| true | 13,000,000,000 | 0.318898 | 1.429371 | -0.990765 |
acc_raw
|
knowledge
| 254 | 0 | 25.17385 |
microsoft/Orca-2-13b
|
main
| 13,000,000,000 | 300,000,000,000 | 23,400,000,000,000,000,000,000 | null | null | null | null |
{
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"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "orca-2-13b",
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},
"model": "microsoft/Orca-2-13b",
"model_path": "microsoft/Orca-2-13b",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.3188976377952756,
"acc_per_token": 0.3188976377952756,
"acc_raw": 0.3188976377952756,
"acc_uncond": null,
"bits_per_byte": null,
"exact_match": null,
"exact_match_flex": null,
"exact_match_flex_sub_2022": null,
"exact_match_flex_sub_2023": null,
"exact_match_flex_sub_2024": null,
"exact_match_simple": null,
"exact_match_sub_2022": null,
"exact_match_sub_2023": null,
"exact_match_sub_2024": null,
"exact_match_sub_cnn": null,
"exact_match_sub_gutenberg": null,
"exact_match_sub_mctest": null,
"exact_match_sub_race": null,
"exact_match_sub_wikipedia": null,
"extra_metrics": null,
"f1": null,
"f1_sub_cnn": null,
"f1_sub_gutenberg": null,
"f1_sub_mctest": null,
"f1_sub_race": null,
"f1_sub_wikipedia": null,
"logits_per_byte_corr": 1.4293711876227417,
"logits_per_char_corr": -0.990764608673612,
"max_token_count": null,
"num_instances": null,
"pass_at_1": null,
"pass_at_10": null,
"ppl_byte": null,
"ppl_char": null,
"ppl_token": null,
"ppl_word": null,
"primary_score": 0.3188976377952756,
"recall": null,
"total_tokens": null,
"twitterAAE_HELM_fixed__AA_bits_per_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_char": null,
"twitterAAE_HELM_fixed__AA_ppl_token": null,
"twitterAAE_HELM_fixed__AA_ppl_word": null,
"twitterAAE_HELM_fixed__white_bits_per_byte": null,
"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 111 |
agi_eval_aqua-rat:mc
|
Orca-2-7b
|
external
| true | 7,000,000,000 | 0.267717 | 1.298971 | -0.900378 |
acc_raw
|
knowledge
| 254 | 0 | 19.41169 |
microsoft/Orca-2-7b
|
main
| 7,000,000,000 | 300,000,000,000 | 12,600,000,000,000,000,000,000 | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": 0.7,
"max_length": 2048,
"metadata": {
"alias": "orca-2-7b",
"model_size": null
},
"model": "microsoft/Orca-2-7b",
"model_path": "microsoft/Orca-2-7b",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.2677165354330709,
"acc_per_token": 0.2677165354330709,
"acc_raw": 0.2677165354330709,
"acc_uncond": null,
"bits_per_byte": null,
"exact_match": null,
"exact_match_flex": null,
"exact_match_flex_sub_2022": null,
"exact_match_flex_sub_2023": null,
"exact_match_flex_sub_2024": null,
"exact_match_simple": null,
"exact_match_sub_2022": null,
"exact_match_sub_2023": null,
"exact_match_sub_2024": null,
"exact_match_sub_cnn": null,
"exact_match_sub_gutenberg": null,
"exact_match_sub_mctest": null,
"exact_match_sub_race": null,
"exact_match_sub_wikipedia": null,
"extra_metrics": null,
"f1": null,
"f1_sub_cnn": null,
"f1_sub_gutenberg": null,
"f1_sub_mctest": null,
"f1_sub_race": null,
"f1_sub_wikipedia": null,
"logits_per_byte_corr": 1.2989707757318416,
"logits_per_char_corr": -0.9003779308276442,
"max_token_count": null,
"num_instances": null,
"pass_at_1": null,
"pass_at_10": null,
"ppl_byte": null,
"ppl_char": null,
"ppl_token": null,
"ppl_word": null,
"primary_score": 0.2677165354330709,
"recall": null,
"total_tokens": null,
"twitterAAE_HELM_fixed__AA_bits_per_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_char": null,
"twitterAAE_HELM_fixed__AA_ppl_token": null,
"twitterAAE_HELM_fixed__AA_ppl_word": null,
"twitterAAE_HELM_fixed__white_bits_per_byte": null,
"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 112 |
agi_eval_aqua-rat:mc
|
PowerLM-3b
|
external
| false | 3,000,000,000 | 0.244094 | 1.156938 | -0.801928 |
acc_raw
|
knowledge
| 254 | 0 | 24.813169 |
ibm/PowerLM-3b
|
main
| null | null | null | null | null | null | null |
{
"add_bos_token": null,
"gpu_memory_utilization": null,
"max_length": 2048,
"metadata": {
"alias": "PowerLM-3b",
"model_size": null
},
"model": "ibm/PowerLM-3b",
"model_path": "ibm/PowerLM-3b",
"model_type": "vllm",
"revision": null,
"trust_remote_code": true
}
|
{
"acc_per_char": 0.2440944881889764,
"acc_per_token": 0.2440944881889764,
"acc_raw": 0.2440944881889764,
"acc_uncond": null,
"bits_per_byte": null,
"exact_match": null,
"exact_match_flex": null,
"exact_match_flex_sub_2022": null,
"exact_match_flex_sub_2023": null,
"exact_match_flex_sub_2024": null,
"exact_match_simple": null,
"exact_match_sub_2022": null,
"exact_match_sub_2023": null,
"exact_match_sub_2024": null,
"exact_match_sub_cnn": null,
"exact_match_sub_gutenberg": null,
"exact_match_sub_mctest": null,
"exact_match_sub_race": null,
"exact_match_sub_wikipedia": null,
"extra_metrics": null,
"f1": null,
"f1_sub_cnn": null,
"f1_sub_gutenberg": null,
"f1_sub_mctest": null,
"f1_sub_race": null,
"f1_sub_wikipedia": null,
"logits_per_byte_corr": 1.156937526338317,
"logits_per_char_corr": -0.8019279844648256,
"max_token_count": null,
"num_instances": null,
"pass_at_1": null,
"pass_at_10": null,
"ppl_byte": null,
"ppl_char": null,
"ppl_token": null,
"ppl_word": null,
"primary_score": 0.2440944881889764,
"recall": null,
"total_tokens": null,
"twitterAAE_HELM_fixed__AA_bits_per_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_byte": null,
"twitterAAE_HELM_fixed__AA_ppl_char": null,
"twitterAAE_HELM_fixed__AA_ppl_token": null,
"twitterAAE_HELM_fixed__AA_ppl_word": null,
"twitterAAE_HELM_fixed__white_bits_per_byte": null,
"twitterAAE_HELM_fixed__white_ppl_byte": null,
"twitterAAE_HELM_fixed__white_ppl_char": null,
"twitterAAE_HELM_fixed__white_ppl_token": null,
"twitterAAE_HELM_fixed__white_ppl_word": null
}
| 115 |
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
Our work studies the ratio between signal, a benchmark's ability to separate models; and noise, a benchmark's sensitivity to random variability during training steps.
This dataset contains evaluation results. For utilites to use this dataset and to reproduce the findings in our paper, please see our github.
Main Eval Suite (375 models)
import pandas as pd
from snr.download.hf import pull_predictions_from_hf
local_path = pull_predictions_from_hf("allenai/signal-and-noise", split_name='core')
df = pd.read_parquet(local_path)
print(f'Loaded {len(df):,} model evaluations')
>>> Loaded 388,924 model evaluations
List of Included Tasks
agi_eval
, arc_challenge
, arc_challenge:mc
, arc_easy
, arc_easy:mc
, autobencher
, autobencher:mc
, boolq
, boolq:mc
, codex_humaneval
, codex_humanevalplus
, copycolors:mc
, csqa
, csqa:mc
, custom_loss_numia_math
, custom_loss_sky_t1
, custom_loss_tulu_if
, drop
, gsm8k
, gsm_plus
, gsm_symbolic_main
, gsm_symbolic_p1
, gsm_symbolic_p2
, hellaswag
, hellaswag:mc
, jeopardy
, mbpp
, mbppplus
, medmcqa
, medmcqa:mc
, minerva
, minerva_math_500
, mmlu
, multitask_all
, multitask_code
, multitask_knowledge
, multitask_math
, openbookqa
, openbookqa:mc
, paloma_4chan_meta_sep
, paloma_c4_100_domains
, paloma_c4_en
, paloma_dolma-v1_5
, paloma_dolma_100_programing_languages
, paloma_dolma_100_subreddits
, paloma_falcon-refinedweb
, paloma_gab
, paloma_m2d2_s2orc_unsplit
, paloma_m2d2_wikipedia_unsplit
, paloma_manosphere_meta_sep
, paloma_mc4
, paloma_ptb
, paloma_redpajama
, paloma_twitterAAE_HELM_fixed
, paloma_wikitext_103
, piqa
, piqa:mc
, socialiqa
, socialiqa:mc
, squad
, triviaqa
, winogrande
, winogrande:mc
List of Included Models
- Intermediate checkpoint models (2):
allenai/OLMo-2-1124-13B
,allenai/OLMo-2-1124-7B
- Ladder models (25):
allenai/OLMo-Ladder-{190M|370M|760M|1B|3B}-{0.5xC|1xC|2xC|5xC|10xC}
- Datadecide models (225):
allenai/DataDecide-{c4|dclm-baseline|dclm-baseline-25p-dolma1.7-75p|dclm-baseline-50p-dolma1.7-50p|dclm-baseline-75p-dolma1.7-25p|dclm-baseline-qc-10p|dclm-baseline-qc-20p|dclm-baseline-qc-7p-fw2|dclm-baseline-qc-7p-fw3|dclm-baseline-qc-fw-10p|dclm-baseline-qc-fw-3p|dolma1_6plus|dolma1_7|dolma1_7-no-code|dolma1_7-no-flan|dolma1_7-no-math-code|dolma1_7-no-reddit|falcon|falcon-and-cc|falcon-and-cc-qc-10p|falcon-and-cc-qc-20p|falcon-and-cc-qc-orig-10p|falcon-and-cc-qc-tulu-10p|fineweb-edu|fineweb-pro}-{4M|20M|60M|90M|150M|300M|530M|750M|1B}
- External models (119):
01-ai/Yi-1.5-34B
,01-ai/Yi-1.5-6B
,01-ai/Yi-1.5-9B
,01-ai/Yi-1.5-9B-32K
,01-ai/Yi-34B
,01-ai/Yi-6B
,01-ai/Yi-6B-200K
,01-ai/Yi-9B
,01-ai/Yi-9B-200K
,BEE-spoke-data/smol_llama-220M-GQA
,BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu
,CortexLM/btlm-7b-base-v0.2
,Deci/DeciLM-7B
,EleutherAI/pythia-1.4b
,EleutherAI/pythia-12b
,EleutherAI/pythia-14m
,EleutherAI/pythia-160m
,EleutherAI/pythia-1b
,EleutherAI/pythia-2.8b
,EleutherAI/pythia-6.9b
,EleutherAI/pythia-70m
,HelpingAI/Priya-3B
,HuggingFaceTB/SmolLM-1.7B
,HuggingFaceTB/SmolLM-135M
,HuggingFaceTB/SmolLM-360M
,HuggingFaceTB/SmolLM2-1.7B
,HuggingFaceTB/SmolLM2-135M
,Qwen/CodeQwen1.5-7B
,Qwen/Qwen1.5-1.8B
,Qwen/Qwen1.5-110B
,Qwen/Qwen1.5-14B
,Qwen/Qwen1.5-32B
,Qwen/Qwen1.5-4B
,Qwen/Qwen1.5-72B
,Qwen/Qwen1.5-7B
,Qwen/Qwen2-0.5B
,Qwen/Qwen2-1.5B
,Qwen/Qwen2-72B
,Qwen/Qwen2-7B
,Qwen/Qwen2.5-0.5B
,Qwen/Qwen2.5-1.5B
,Qwen/Qwen2.5-14B
,Qwen/Qwen2.5-32B
,Qwen/Qwen2.5-3B
,Qwen/Qwen2.5-72B
,Qwen/Qwen2.5-7B
,Qwen/Qwen2.5-Coder-14B
,Qwen/Qwen2.5-Coder-7B
,Qwen/Qwen2.5-Math-7B
,TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
,TinyLlama/TinyLlama_v1.1
,allenai/OLMo-1B-0724-hf
,allenai/OLMo-1B-hf
,allenai/OLMo-2-0325-32B
,allenai/OLMo-2-0425-1B
,allenai/OLMo-2-1124-13B
,allenai/OLMo-2-1124-7B
,allenai/OLMo-7B-0424-hf
,allenai/OLMo-7B-0724-hf
,allenai/OLMo-7B-Twin-2T-hf
,allenai/OLMo-7B-hf
,allenai/OLMoE-1B-7B-0924
,amd/AMD-Llama-135m
,beomi/gemma-mling-7b
,bigcode/starcoder2-3b
,bigcode/starcoder2-7b
,databricks/dolly-v1-6b
,deepseek-ai/deepseek-llm-67b-base
,deepseek-ai/deepseek-llm-7b-base
,deepseek-ai/deepseek-moe-16b-base
,dicta-il/dictalm2.0
,facebook/opt-1.3b
,google/codegemma-1.1-2b
,google/gemma-2-2b
,google/gemma-2-9b
,google/gemma-2b
,google/gemma-7b
,h2oai/h2o-danube3-4b-base
,huggyllama/llama-13b
,huggyllama/llama-30b
,huggyllama/llama-65b
,huggyllama/llama-7b
,ibm/PowerLM-3b
,jebish7/Nemotron-4-Mini-Hindi-4B-Base
,m-a-p/neo_7b
,meta-llama/Llama-2-13b-hf
,meta-llama/Llama-2-7b-hf
,meta-llama/Llama-3.1-70B
,meta-llama/Llama-3.1-8B
,meta-llama/Llama-3.2-1B
,meta-llama/Llama-3.2-3B
,meta-llama/Meta-Llama-3-70B
,meta-llama/Meta-Llama-3-8B
,meta-llama/Meta-Llama-3.1-70B
,meta-llama/Meta-Llama-3.1-8B
,microsoft/Orca-2-13b
,microsoft/Orca-2-7b
,microsoft/phi-1
,microsoft/phi-1_5
,microsoft/phi-2
,microsoft/phi-4
,mistralai/Mathstral-7B-v0.1
,mistralai/Mixtral-8x22B-v0.1
,mistralai/Mixtral-8x7B-v0.1
,mosaicml/mpt-7b
,princeton-nlp/Sheared-LLaMA-1.3B
,princeton-nlp/Sheared-LLaMA-2.7B
,qingy2024/Qwen2.5-4B
,speakleash/Bielik-11B-v2
,stabilityai/stablelm-2-1_6b
,stabilityai/stablelm-3b-4e1t
,tiiuae/Falcon3-10B-Base
,tiiuae/Falcon3-3B-Base
,tiiuae/Falcon3-Mamba-7B-Base
,tiiuae/falcon-11B
,tiiuae/falcon-7b
,togethercomputer/RedPajama-INCITE-7B-Base
,upstage/SOLAR-10.7B-v1.0
,vonjack/MobileLLM-125M-HF
DataDecide Eval Suite (225 models with 4M to 1B params)
import pandas as pd
from snr.download.hf import pull_predictions_from_hf
local_path = pull_predictions_from_hf("allenai/signal-and-noise", split_name='datadecide_intermediate')
df = pd.read_parquet(local_path)
print(f'Loaded {len(df):,} model evaluations')
>>> Loaded 212,047 model evaluations
Random Seed Eval Suite (20 models with 1B params)
import pandas as pd
from snr.download.hf import pull_predictions_from_hf
local_path = pull_predictions_from_hf("allenai/signal-and-noise", split_name='random_seeds')
df = pd.read_parquet(local_path)
print(f'Loaded {len(df):,} model evaluations')
>>> Loaded 296,358 model evaluations
AutoBencher QA Benchmark
For the AutoBencher evaluation used in our work, please refer to huggingface.co/datasets/allenai/autobencher-qa-33k.
Citation
@article{heineman2025signal,
title={Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation},
author={Heineman, David and Hofmann, Valentin and Magnusson, Ian and Gu, Yuling and Smith, Noah A and Hajishirzi, Hannaneh and Lo, Kyle and Dodge, Jesse},
journal={arXiv preprint arXiv:2508.13144},
year={2025}
}
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