model_id stringlengths 19 121 | model_role stringclasses 5
values | provenance_family stringclasses 35
values | parents stringclasses 328
values | rung stringclasses 108
values | operator stringclasses 52
values | experiment stringclasses 17
values | benchmark stringclasses 84
values | metric stringclasses 13
values | value float64 -5.09 348 | chance float64 0 50 ⌀ | n float64 273 67k ⌀ | source_dataset stringclasses 7
values | notes stringclasses 92
values | metric_kind stringclasses 6
values | unit stringclasses 7
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | arc_easy | accuracy | 0.558 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | arc_easy | accuracy | 0.344 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | arc_easy | accuracy | 0.246 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | arc_easy | accuracy | 0.258 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | arc_easy | accuracy | 0.268 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | arc_easy | accuracy | 0.268 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | arc_easy | accuracy | 0.266 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | arc_easy | accuracy | 0.29 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | arc_easy | accuracy | 0.256 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | arc_easy | accuracy | 0.274 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.534 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.348 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.25 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.246 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.246 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.24 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.274 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.278 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.268 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | arc_easy_norm | accuracy | 0.268 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | lambada | accuracy | 0.548 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | lambada | accuracy | 0.112 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | lambada | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | lambada_norm | accuracy | 0.548 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | lambada_norm | accuracy | 0.112 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | lambada_norm | accuracy | 0 | 0 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | piqa | accuracy | 0.714 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | piqa | accuracy | 0.516 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | piqa | accuracy | 0.52 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | piqa | accuracy | 0.516 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | piqa | accuracy | 0.512 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | piqa | accuracy | 0.508 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | piqa | accuracy | 0.51 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | piqa | accuracy | 0.514 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | piqa | accuracy | 0.52 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | piqa | accuracy | 0.5 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | piqa_norm | accuracy | 0.724 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | piqa_norm | accuracy | 0.512 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | piqa_norm | accuracy | 0.506 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | piqa_norm | accuracy | 0.53 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | piqa_norm | accuracy | 0.534 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | piqa_norm | accuracy | 0.496 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | piqa_norm | accuracy | 0.528 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | piqa_norm | accuracy | 0.54 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | piqa_norm | accuracy | 0.53 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | piqa_norm | accuracy | 0.498 | 0.5 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | sciq | accuracy | 0.846 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | sciq | accuracy | 0.626 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | sciq | accuracy | 0.236 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | sciq | accuracy | 0.218 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | sciq | accuracy | 0.22 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | sciq | accuracy | 0.22 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | sciq | accuracy | 0.216 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | sciq | accuracy | 0.256 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | sciq | accuracy | 0.232 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | sciq | accuracy | 0.204 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | sciq_norm | accuracy | 0.818 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | sciq_norm | accuracy | 0.6 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | sciq_norm | accuracy | 0.236 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | sciq_norm | accuracy | 0.226 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | sciq_norm | accuracy | 0.224 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | sciq_norm | accuracy | 0.244 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | sciq_norm | accuracy | 0.234 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | sciq_norm | accuracy | 0.242 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | sciq_norm | accuracy | 0.214 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | sciq_norm | accuracy | 0.224 | 0.25 | null | Mergeability-2/merge-accuracy | R4_cross_group; two independently pretrained 1.4B models, different vocabularies | accuracy | proportion_0_1 |
EleutherAI/pythia-1.4b | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.6665 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
SJTU-CL/Zh-Pythia-1.4B | parent | pythia-1.4b x Zh-Pythia-1.4B | null | null | null | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.3995 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | aligned | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.2505 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | aligned | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.248 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|aligned|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | aligned | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.25 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.25 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.25 | naive | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.249 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.5 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.5 | naive | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.248 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|naive|alpha0.75 | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | alpha=0.75 | naive | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.265 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_aligned|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_aligned | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.252 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
crossgroup-merge:pythia1.4b_x_ZhPythia1.4b|ties_naive|alphaNone | merged | pythia-1.4b x Zh-Pythia-1.4B | EleutherAI/pythia-1.4b|SJTU-CL/Zh-Pythia-1.4B | null | ties_naive | crossgroup_direct_merge | mean_of_benchmarks | benchmark_mean_accuracy | 0.2445 | null | null | Mergeability-2/merge-accuracy | R4_cross_group; unweighted mean over sciq/piqa/arc_easy/lambada (acc and acc_norm), not a single-benchmark accuracy | benchmark_score | proportion_0_1 |
mergebench:Llama-3.1-8B-Instruct|Consensus TA | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | Consensus TA | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 61.4 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|DARE | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | DARE | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 59.9 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|Dataless L&S | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | Dataless L&S | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 64.2 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|Fisher Merging | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | Fisher Merging | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 57.6 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|L&S | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | L&S | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 63.5 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|Model soup | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | Model soup | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 59.8 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|RegMean | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | RegMean | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 61 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|TIES | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | TIES | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 63.2 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B-Instruct|Task arithmetic | merged | Llama-3.1-8B-Instruct | Llama-3.1-8B-Instruct: all 5 domain experts | 5-expert merge | Task arithmetic | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 60.7 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 17); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
mergebench:Llama-3.1-8B|Consensus TA | merged | Llama-3.1-8B | Llama-3.1-8B: all 5 domain experts | 5-expert merge | Consensus TA | mergebench_published_outcomes | Avg. Acc | benchmark_score_pct | 48 | null | null | Mergeability-2/mergebench-property-sweep | published by MergeBench (arXiv:2505.10833 Table 16); every released score is a 5-expert merge, so no pair-level outcome exists. Suite aggregate over heterogeneous tasks -- NOT a single-benchmark accuracy, so no chance level is defined. | benchmark_score | percent_0_100 |
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