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Language Modeling on Chinchilla 2022 (train)

30,4002q1q2Chinchilla
29,25636,97844,70052,422Feb 6, 2026

Evaluation results

MethodLinks
Chinchillamodel size(B)=0.140, num of horizons=72026.0230,4002.6799.1
Chinchillamodel size(B)=1.143, num of horizons=102026.0231,0002.27599.8
Chinchillamodel size(B)=0.632, num of horizons=82026.0231,7002.36799.8
Chinchillamodel size(B)=1.429, num of horizons=92026.0231,8002.25399.6
Chinchillamodel size(B)=0.074, num of horizons=52026.0232,2002.82599.1
Chinchillamodel size(B)=0.425, num of horizons=82026.0232,7002.4399.8
Chinchillamodel size(B)=0.279, num of horizons=82026.0232,9002.49899.9
Chinchillamodel size(B)=1.611, num of horizons=92026.0233,6002.22899.5
Chinchillamodel size(B)=2.004, num of horizons=82026.0236,2002.17899.9
Chinchillamodel size(B)=4.519, num of horizons=62026.0238,3002.10697.8
Chinchillamodel size(B)=12.56, num of horizons=32026.0242,3002.053100
Chinchillamodel size(B)=9.290, num of horizons=42026.0242,9002.04698.8
Chinchillamodel size(B)=2.280, num of horizons=72026.0244,1002.128100
Chinchillamodel size(B)=6.792, num of horizons=82026.0246,6002.02399.9
Chinchillamodel size(B)=2.979, num of horizons=102026.0259,0002.01699