Datasets:
llm-jp
/
leaderboard-contents

Dataset card Data Studio Files
xet
Community
1
model_type
stringclasses
5 values
model
stringlengths
12
62
AVG
float64
0.03
0.74
CG
float64
0
0.76
EL
float64
0
0.77
FA
float64
0
0.62
HE
float64
0
0.83
MC
float64
0
0.95
MR
float64
0
0.95
MT
float64
0.19
0.86
NLI
float64
0
0.97
QA
float64
0
0.77
RC
float64
0
0.94
SUM
float64
0
0.29
aio_char_f1
float64
0
0.9
alt-e-to-j_bert_score_ja_f1
float64
0
0.88
alt-e-to-j_bleu_ja
float64
0
16
alt-e-to-j_comet_wmt22
float64
0.2
0.92
alt-j-to-e_bert_score_en_f1
float64
0
0.96
alt-j-to-e_bleu_en
float64
0
20.1
alt-j-to-e_comet_wmt22
float64
0.17
0.89
chabsa_set_f1
float64
0
0.77
commonsensemoralja_exact_match
float64
0
0.94
jamp_exact_match
float64
0
1
janli_exact_match
float64
0
1
jcommonsenseqa_exact_match
float64
0
0.98
jemhopqa_char_f1
float64
0
0.71
jmmlu_exact_match
float64
0
0.81
jnli_exact_match
float64
0
0.94
jsem_exact_match
float64
0
0.96
jsick_exact_match
float64
0
0.93
jsquad_char_f1
float64
0
0.94
jsts_pearson
float64
-0.35
0.94
jsts_spearman
float64
-0.6
0.91
kuci_exact_match
float64
0
0.93
mawps_exact_match
float64
0
0.95
mbpp_code_exec
float64
0
0.76
mbpp_pylint_check
float64
0
1
mmlu_en_exact_match
float64
0
0.86
niilc_char_f1
float64
0
0.7
wiki_coreference_set_f1
float64
0
0.4
wiki_dependency_set_f1
float64
0
0.89
wiki_ner_set_f1
float64
0
0.33
wiki_pas_set_f1
float64
0
0.57
wiki_reading_char_f1
float64
0
0.94
wikicorpus-e-to-j_bert_score_ja_f1
float64
0
0.88
wikicorpus-e-to-j_bleu_ja
float64
0
24
wikicorpus-e-to-j_comet_wmt22
float64
0.18
0.87
wikicorpus-j-to-e_bert_score_en_f1
float64
0
0.93
wikicorpus-j-to-e_bleu_en
float64
0
15.9
wikicorpus-j-to-e_comet_wmt22
float64
0.17
0.79
xlsum_ja_bert_score_ja_f1
float64
0
0.79
xlsum_ja_bleu_ja
float64
0
10.2
xlsum_ja_rouge1
float64
0
54
xlsum_ja_rouge2
float64
0
29.2
xlsum_ja_rouge2_scaling
float64
0
0.29
xlsum_ja_rougeLsum
float64
0
45.6
architecture
stringclasses
12 values
precision
stringclasses
3 values
license
stringclasses
15 values
params
float64
0
70.6
likes
int64
0
6.19k
revision
stringclasses
1 value
num_few_shot
int64
0
4
add_special_tokens
stringclasses
2 values
llm_jp_eval_version
stringclasses
1 value
vllm_version
stringclasses
1 value
⭕ : instruction-tuned
meta-llama/Meta-Llama-3-8B-Instruct
0.2164
0
0.0052
0.061
0.0016
0.3121
0.022
0.764
0.3398
0.1971
0.664
0.0138
0.1527
0.8169
8.0639
0.8448
0.9364
11.7792
0.8494
0.0052
0
0.4368
0.5681
0.5898
0.2475
0
0.2999
0.0038
0.3905
0.664
0.7159
0.7167
0.3465
0.022
0
0.012
0.0033
0.191
0
0.0038
0
0
0.301
0.7386
5.917
0.7027
0.874
8.2024
0.659
0.6158
0.341
5.7664
1.371
0.0138
5.064
LlamaForCausalLM
bfloat16
llama3
8.03
3,974
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Meta-Llama-3-8B-Instruct
0.4962
0
0.4758
0.2329
0.5383
0.753
0.732
0.8226
0.6059
0.3892
0.8946
0.0138
0.3947
0.8444
10.3245
0.8826
0.9437
14.5237
0.8623
0.4758
0.7801
0.5144
0.6431
0.8767
0.3812
0.4668
0.6109
0.6439
0.6172
0.8946
0.8216
0.8015
0.6024
0.732
0
0.012
0.6098
0.3918
0.0189
0.3115
0.0796
0.0805
0.674
0.8115
8.9124
0.8116
0.8951
9.6677
0.7337
0.6158
0.341
5.7664
1.371
0.0138
5.064
LlamaForCausalLM
bfloat16
llama3
8.03
3,974
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.2-3B
0.2124
0.1707
0.0098
0.0394
0.0288
0.3178
0.016
0.6915
0.4239
0.1329
0.4803
0.0256
0.1056
0.7762
6.4825
0.7696
0.9114
9.3192
0.803
0.0098
0.5303
0.3793
0.5
0.1716
0.1396
0.0364
0.3016
0.6414
0.2971
0.4803
0
0
0.2515
0.016
0.1707
0.5141
0.0211
0.1536
0
0.002
0
0
0.1951
0.7016
4.4551
0.6147
0.8282
4.6005
0.5786
0.5844
1.066
12.6667
2.5479
0.0256
10.9324
LlamaForCausalLM
bfloat16
llama3.2
3.213
568
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.2-3B
0.4225
0.1707
0.3862
0.1803
0.409
0.5501
0.616
0.7875
0.3375
0.3568
0.828
0.0256
0.3136
0.8282
9.0363
0.8587
0.9381
13.7033
0.8508
0.3862
0.7347
0.3391
0.5264
0.5898
0.4377
0.3423
0.3053
0.3327
0.1841
0.828
0.0481
0.0889
0.3259
0.616
0.1707
0.5141
0.4758
0.3191
0.0106
0.217
0.0177
0.0543
0.6019
0.7744
8.4631
0.7492
0.8819
9.0517
0.6912
0.5844
1.066
12.6667
2.5479
0.0256
10.9324
LlamaForCausalLM
bfloat16
llama3.2
3.213
568
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.2-1B
0.2788
0.1044
0.2863
0.0576
0.254
0.3175
0.158
0.6971
0.3619
0.2338
0.5554
0.0405
0.1684
0.7838
6.7944
0.7733
0.9181
11.059
0.7996
0.2863
0.493
0.3563
0.4986
0.2082
0.3274
0.2448
0.5559
0.1667
0.2322
0.5554
-0.1145
-0.1219
0.2514
0.158
0.1044
0.5964
0.2631
0.2056
0.0039
0.0802
0
0.0196
0.1842
0.7014
6.145
0.6129
0.8536
6.4619
0.6024
0.5952
1.1235
12.2139
4.0405
0.0405
10.3837
LlamaForCausalLM
bfloat16
llama3.2
1.236
1,910
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.2-1B
0.1055
0.1044
0
0.0343
0.0489
0.115
0.006
0.4856
0
0.1045
0.2211
0.0405
0.0655
0.6909
0.4139
0.5445
0.7509
0.2066
0.5013
0
0.1906
0
0
0.0009
0.1438
0.0124
0
0
0
0.2211
-0.0273
-0.0221
0.1533
0.006
0.1044
0.5964
0.0853
0.1042
0
0
0
0
0.1714
0.6585
0.6969
0.4661
0.7447
0.2973
0.4303
0.5952
1.1235
12.2139
4.0405
0.0405
10.3837
LlamaForCausalLM
bfloat16
llama3.2
1.236
1,910
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.1-70B
0.5941
0.0141
0.5255
0.2959
0.6845
0.8791
0.88
0.8556
0.7397
0.6487
0.9229
0.089
0.7296
0.8715
13.7469
0.911
0.9583
18.699
0.8902
0.5255
0.9063
0.5977
0.7889
0.9419
0.6145
0.6351
0.7506
0.7961
0.765
0.9229
0.9018
0.8696
0.7891
0.88
0.0141
0.0281
0.7339
0.602
0.0565
0.3599
0.1239
0.0671
0.872
0.8556
15.4783
0.8542
0.9143
12.6925
0.767
0.6861
2.1497
22.176
8.9001
0.089
19.3898
LlamaForCausalLM
bfloat16
llama3.1
70.554
366
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.1-70B
0.4186
0.0141
0.3199
0.1591
0.2133
0.5708
0.494
0.838
0.6159
0.3977
0.8933
0.089
0.4266
0.8508
11.455
0.9003
0.9533
16.5452
0.8831
0.3199
0.7375
0.4856
0.6778
0.5541
0.3359
0.1065
0.4281
0.7544
0.7335
0.8933
0.69
0.7523
0.421
0.494
0.0141
0.0281
0.3202
0.4306
0
0.0179
0.0177
0.0024
0.7572
0.8049
8.9761
0.8185
0.9031
10.4305
0.75
0.6861
2.1497
22.176
8.9001
0.089
19.3898
LlamaForCausalLM
bfloat16
llama3.1
70.554
366
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-7b-it
0.149
0
0.0082
0.0191
0.2669
0.3215
0.056
0.2866
0.4414
0.0915
0.1224
0.0257
0.0225
0.6226
0.0924
0.3582
0.8167
3.2642
0.3855
0.0082
0.4679
0.3391
0.5
0.2502
0.1948
0.2776
0.5534
0.5934
0.2212
0.1224
0.0158
-0.0669
0.2464
0.056
0
0
0.2562
0.0573
0
0
0.0177
0
0.0779
0.5129
0.0698
0.1785
0.765
2.6153
0.2243
0.5724
1.4248
14.2917
2.5693
0.0257
11.9555
GemmaForCausalLM
bfloat16
gemma
8.538
273
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-7b-it
0.0655
0
0
0.0167
0.0089
0.0909
0
0.3642
0
0.0603
0.1541
0.0257
0.0331
0.6638
0.2425
0.4453
0.7408
0.3664
0.3466
0
0.0075
0
0
0.0715
0.0847
0
0
0
0
0.1541
-0.0452
-0.041
0.1937
0
0
0
0.0179
0.063
0
0
0
0
0.0835
0.5913
0.6693
0.3503
0.724
0.5251
0.3145
0.5724
1.4248
14.2917
2.5693
0.0257
11.9555
GemmaForCausalLM
bfloat16
gemma
8.538
273
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-2b-it
0.0952
0
0
0.0247
0.0468
0.078
0.006
0.4931
0.0017
0.061
0.2914
0.0446
0.0499
0.6982
0.2783
0.548
0.7591
0.3118
0.5581
0
0
0
0.0083
0.0009
0.0443
0.0799
0
0
0
0.2914
0
0
0.2332
0.006
0
0
0.0136
0.0887
0
0
0
0
0.1235
0.6541
0.597
0.4451
0.7534
0.5065
0.421
0.6555
1.0033
24.5415
4.4743
0.0446
19.6346
GemmaForCausalLM
bfloat16
gemma
2.506
159
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-2b-it
0.2876
0
0.2493
0.0624
0.3238
0.3532
0.328
0.5771
0.3758
0.2095
0.6401
0.0446
0.1351
0.7513
4.6594
0.6695
0.8988
9.3482
0.7202
0.2493
0.4647
0.3333
0.5
0.3432
0.3782
0.3067
0.3164
0.5676
0.1618
0.6401
0.0602
0.074
0.2517
0.328
0
0
0.341
0.1153
0.0063
0.0289
0.0531
0.0131
0.2107
0.5938
0.1743
0.3774
0.8342
4.955
0.5412
0.6555
1.0033
24.5415
4.4743
0.0446
19.6346
GemmaForCausalLM
bfloat16
gemma
2.506
159
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-2b-it
0.274
0
0.2404
0.0464
0.3186
0.3678
0.238
0.552
0.4062
0.1644
0.631
0.0493
0.1191
0.7334
3.6557
0.6267
0.8865
7.8681
0.6728
0.2404
0.4749
0.3333
0.5
0.378
0.3014
0.2999
0.4671
0.5688
0.1618
0.631
0
0
0.2505
0.238
0
0
0.3373
0.0728
0.0033
0.0162
0.0265
0.0083
0.1778
0.6264
0.1199
0.4039
0.8268
4.9351
0.5046
0.6583
1.183
25.2621
4.9277
0.0493
19.8895
GemmaForCausalLM
bfloat16
gemma
2.506
744
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-2b-it
0.0954
0
0
0.0228
0.0002
0.1768
0
0.4571
0.0721
0.0572
0.2137
0.0493
0.0453
0.6949
0.2568
0.5367
0.7531
0.1883
0.4722
0
0.384
0
0.3458
0
0.0324
0.0003
0.0148
0
0
0.2137
-0.0554
-0.0492
0.1464
0
0
0
0.0001
0.0939
0
0
0
0
0.114
0.6539
0.4013
0.4424
0.7482
0.1519
0.377
0.6583
1.183
25.2621
4.9277
0.0493
19.8895
GemmaForCausalLM
bfloat16
gemma
2.506
744
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-7b
0.0383
0
0
0.0005
0.0004
0.1606
0
0.2273
0
0.0082
0.0241
0
0.0008
0.4752
0.2585
0.203
0.3384
0.4239
0.2719
0
0.0003
0
0
0.2386
0.0147
0.0006
0
0
0
0.0241
0.0017
0.0096
0.2429
0
0
0.8414
0.0002
0.0089
0
0
0
0
0.0027
0.4224
0.5033
0.188
0.4309
0.542
0.2463
0.2849
0.0329
0.0152
0
0
0.0149
GemmaForCausalLM
bfloat16
gemma
8.538
3,168
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-7b
0.036
0
0
0.0005
0
0.1547
0.002
0.186
0.009
0.0105
0.0327
0
0.0005
0.4809
0.131
0.2199
0.6864
2.4121
0.1721
0
0.0008
0.0057
0
0.2154
0.0279
0
0.0008
0.0328
0.0057
0.0327
-0.0083
-0.009
0.248
0.002
0
0.8414
0
0.003
0
0
0
0
0.0026
0.4446
0.1832
0.1822
0.6847
3.6753
0.17
0.2849
0.0329
0.0152
0
0
0.0149
GemmaForCausalLM
bfloat16
gemma
8.538
3,168
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-7b-it
0.045
0
0
0.0212
0.0001
0
0
0.3439
0
0.0387
0.0606
0.03
0.0244
0.6495
0.1817
0.4037
0.7356
0.0919
0.3215
0
0
0
0
0
0.0627
0
0
0
0
0.0606
0.0047
0.0112
0
0
0
0.0361
0.0002
0.0289
0
0
0
0
0.1062
0.6091
0.3699
0.3527
0.7188
0.1897
0.2978
0.6181
1.961
18.9243
3.009
0.03
15.5497
GemmaForCausalLM
bfloat16
gemma
8.538
1,174
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-7b-it
0.1498
0
0.004
0.0234
0.2555
0.3292
0.01
0.3307
0.5303
0.0721
0.0628
0.03
0.0463
0.6154
0.0374
0.3252
0.842
5.3864
0.4182
0.004
0.522
0.3276
0.4819
0.2154
0.125
0.2409
0.5534
0.6717
0.617
0.0628
-0.0171
-0.0193
0.2501
0.01
0
0.0361
0.2701
0.0451
0
0
0.0088
0
0.108
0.564
0.0654
0.2756
0.757
1.9916
0.3038
0.6181
1.961
18.9243
3.009
0.03
15.5497
GemmaForCausalLM
bfloat16
gemma
8.538
1,174
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-2b
0.2882
0
0.3342
0.0775
0.3135
0.3492
0.23
0.5792
0.3935
0.1294
0.7133
0.0506
0.0673
0.7181
6.7048
0.6014
0.9083
10.2007
0.7617
0.3342
0.5862
0.3333
0.5
0.2109
0.2467
0.2923
0.3279
0.6471
0.1593
0.7133
0.05
0.0564
0.2506
0.23
0
0.3273
0.3348
0.0741
0.0009
0.0781
0.0531
0.029
0.2265
0.6219
1.4302
0.4864
0.8032
4.9462
0.4672
0.6424
1.8859
19.7977
5.0582
0.0506
16.1766
GemmaForCausalLM
bfloat16
gemma
2.506
998
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-2b
0.0693
0
0
0.0349
0
0
0
0.4957
0
0.0359
0.1455
0.0506
0.0361
0.6923
0.235
0.5342
0.7523
0.3109
0.5812
0
0
0
0
0
0.0443
0
0
0
0
0.1455
0.0506
0.0499
0
0
0
0.3273
0
0.0272
0
0
0
0
0.1746
0.638
0.4192
0.4291
0.7161
0.3383
0.4384
0.6424
1.8859
19.7977
5.0582
0.0506
16.1766
GemmaForCausalLM
bfloat16
gemma
2.506
998
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Llama-3.3-70B-Instruct
0.3749
0.0281
0.1971
0.1527
0.2179
0.849
0.026
0.8351
0.6637
0.42
0.6432
0.0918
0.4565
0.8626
13.3468
0.9045
0.956
17.4829
0.886
0.1971
0.9003
0.5891
0.5181
0.9035
0.4258
0.1053
0.597
0.791
0.8232
0.6432
0.8824
0.853
0.7431
0.026
0.0281
0.0522
0.3304
0.3777
0.0032
0.0266
0.0442
0.0023
0.6871
0.8091
10.7789
0.8156
0.8966
11.1103
0.7344
0.6878
3.1368
22.6097
9.1828
0.0918
20.1245
LlamaForCausalLM
bfloat16
llama3.3
70.554
2,335
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Llama-3.3-70B-Instruct
0.6145
0.0281
0.5723
0.2659
0.7714
0.8874
0.944
0.8519
0.8016
0.6412
0.9042
0.0918
0.7084
0.8671
13.5853
0.9095
0.9577
18.1284
0.888
0.5723
0.9121
0.6724
0.9125
0.9455
0.6528
0.7266
0.8114
0.7942
0.8175
0.9042
0.8833
0.8483
0.8046
0.944
0.0281
0.0522
0.8162
0.5625
0.0418
0.3363
0.0442
0.0568
0.8501
0.8502
15.8625
0.8517
0.9089
12.3046
0.7584
0.6878
3.1368
22.6097
9.1828
0.0918
20.1245
LlamaForCausalLM
bfloat16
llama3.3
70.554
2,335
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Meta-Llama-3-70B-Instruct
0.6257
0.2892
0.5891
0.2922
0.7256
0.8576
0.922
0.8509
0.7307
0.6125
0.9167
0.0957
0.673
0.8644
12.538
0.9044
0.9544
16.8976
0.8836
0.5891
0.881
0.6839
0.7194
0.9419
0.6102
0.6721
0.6873
0.779
0.7836
0.9167
0.8834
0.8525
0.7499
0.922
0.2892
0.4177
0.7792
0.5544
0.0416
0.3764
0.1239
0.0798
0.8393
0.8346
11.3104
0.8471
0.9097
11.0488
0.7685
0.6943
2.0042
24.8641
9.5922
0.0957
21.5437
LlamaForCausalLM
bfloat16
llama3
70.554
1,472
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Meta-Llama-3-70B-Instruct
0.5107
0.2892
0.242
0.1712
0.5743
0.7024
0.756
0.8417
0.6258
0.4434
0.8756
0.0957
0.484
0.8584
11.9451
0.9046
0.9475
15.5203
0.8733
0.242
0.7365
0.5345
0.6097
0.7909
0.381
0.5304
0.4737
0.7544
0.7566
0.8756
0.8678
0.8315
0.5799
0.756
0.2892
0.4177
0.6183
0.4652
0
0.0073
0.0531
0.0082
0.7874
0.8105
8.8033
0.8318
0.9034
10.031
0.7574
0.6943
2.0042
24.8641
9.5922
0.0957
21.5437
LlamaForCausalLM
bfloat16
llama3
70.554
1,472
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Meta-Llama-3-70B
0.6273
0.2992
0.5339
0.2942
0.718
0.8799
0.948
0.8531
0.7315
0.6465
0.9212
0.0745
0.7347
0.8708
13.9748
0.9088
0.9581
18.9863
0.8888
0.5339
0.9013
0.5891
0.7806
0.9473
0.6056
0.6919
0.7079
0.7942
0.7857
0.9212
0.8903
0.855
0.7911
0.948
0.2992
0.4659
0.7441
0.5991
0.0306
0.3763
0.1416
0.0545
0.8682
0.8584
16.1156
0.8554
0.9138
12.5835
0.7594
0.6697
2.0276
18.0392
7.4331
0.0745
15.9677
LlamaForCausalLM
bfloat16
llama3
70.554
859
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Meta-Llama-3-70B
0.5012
0.2992
0.3387
0.162
0.4276
0.6513
0.742
0.8352
0.603
0.4888
0.8908
0.0745
0.5411
0.8503
11.5686
0.898
0.9544
17.117
0.884
0.3387
0.7928
0.4626
0.6528
0.6765
0.4114
0.3849
0.3936
0.7475
0.7587
0.8908
0.7909
0.8021
0.4846
0.742
0.2992
0.4659
0.4702
0.5138
0
0.0193
0.0177
0.0064
0.7668
0.81
9.5953
0.8131
0.9041
10.688
0.7458
0.6697
2.0276
18.0392
7.4331
0.0745
15.9677
LlamaForCausalLM
bfloat16
llama3
70.554
859
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Meta-Llama-3-8B
0.4886
0.0181
0.4059
0.2451
0.5186
0.668
0.704
0.8244
0.6068
0.4325
0.8889
0.0625
0.4481
0.8511
11.7555
0.8829
0.9494
15.7335
0.8733
0.4059
0.6568
0.454
0.5986
0.8293
0.4521
0.4473
0.6085
0.7317
0.6414
0.8889
0.7472
0.7306
0.5178
0.704
0.0181
0.0502
0.5899
0.3972
0.0084
0.3696
0.0531
0.0536
0.7409
0.8146
11.0876
0.8053
0.9005
11.05
0.7361
0.6283
1.7042
15.2962
6.2471
0.0625
13.5321
LlamaForCausalLM
bfloat16
llama3
8.03
6,187
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Meta-Llama-3-8B
0.293
0.0181
0.0194
0.0514
0.2166
0.3855
0.274
0.7839
0.3773
0.2665
0.7677
0.0625
0.265
0.8269
9.5102
0.861
0.9423
13.0823
0.8607
0.0194
0.5529
0.3276
0.5
0.3342
0.2906
0.1401
0.1619
0.6566
0.2403
0.7677
0.346
0.3449
0.2695
0.274
0.0181
0.0502
0.2932
0.2438
0
0.0006
0
0
0.2562
0.7569
7.1002
0.7336
0.8746
8.1538
0.6805
0.6283
1.7042
15.2962
6.2471
0.0625
13.5321
LlamaForCausalLM
bfloat16
llama3
8.03
6,187
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3.1-13b-instruct4
0.6489
0.0281
0.7513
0.6006
0.5413
0.9395
0.72
0.8517
0.9625
0.6931
0.9427
0.1075
0.8045
0.8717
14.9427
0.9028
0.947
17.8751
0.864
0.7513
0.9376
0.9971
1
0.9598
0.6372
0.5267
0.9433
0.9609
0.9111
0.9427
0.9352
0.9071
0.9212
0.72
0.0281
0.0643
0.556
0.6375
0.3544
0.879
0.3274
0.4999
0.9421
0.8683
21.9099
0.8555
0.9249
15.3226
0.7845
0.7001
2.6706
31.4294
10.749
0.1075
26.3431
LlamaForCausalLM
bfloat16
apache-2.0
13.708
3
main
4
True
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3.1-13b-instruct4
0.6525
0.0281
0.7652
0.6207
0.53
0.945
0.728
0.8501
0.965
0.6929
0.9448
0.1075
0.8068
0.8624
15.6982
0.8911
0.9443
18.4501
0.8552
0.7652
0.9384
0.9971
1
0.9705
0.6352
0.5078
0.94
0.9621
0.9255
0.9448
0.9375
0.9092
0.9262
0.728
0.0281
0.0643
0.5523
0.6368
0.4014
0.882
0.3097
0.5677
0.9425
0.8767
24.0066
0.864
0.9276
15.8636
0.7902
0.7001
2.6706
31.4294
10.749
0.1075
26.3431
LlamaForCausalLM
bfloat16
apache-2.0
13.708
3
main
0
True
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3.1-1.8b-instruct4
0.5788
0
0.6167
0.5125
0.4345
0.8995
0.56
0.8458
0.9207
0.5653
0.924
0.0876
0.6161
0.8691
14.7817
0.9002
0.9481
15.9402
0.8705
0.6167
0.8833
0.9368
1
0.9294
0.5416
0.4293
0.908
0.8737
0.8851
0.924
0.9244
0.8961
0.8858
0.56
0
0
0.4398
0.5382
0.2833
0.828
0.1416
0.4029
0.9066
0.8568
19.6487
0.8452
0.9167
13.916
0.7672
0.6856
2.2083
25.6171
8.7508
0.0876
21.5264
LlamaForCausalLM
bfloat16
apache-2.0
1.868
1
main
4
True
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3.1-1.8b-instruct4
0.5788
0
0.6494
0.5384
0.4216
0.9041
0.506
0.8498
0.9244
0.5596
0.9257
0.0876
0.6106
0.8701
14.1502
0.9003
0.9503
17.1237
0.8734
0.6494
0.89
0.9339
1
0.9339
0.5337
0.414
0.9092
0.8782
0.9005
0.9257
0.9267
0.8975
0.8885
0.506
0
0
0.4293
0.5346
0.2777
0.8565
0.2035
0.4376
0.9166
0.8618
20.4743
0.8499
0.9215
14.6513
0.7756
0.6856
2.2083
25.6171
8.7508
0.0876
21.5264
LlamaForCausalLM
bfloat16
apache-2.0
1.868
1
main
0
True
v1.4.1
v0.6.3.post1
🟢 : pretrained
llm-jp/llm-jp-3.1-13b
0.5882
0.004
0.5203
0.4026
0.5261
0.8905
0.724
0.8545
0.8499
0.6827
0.9307
0.085
0.8321
0.8723
13.6152
0.9106
0.9576
18.3868
0.8885
0.5203
0.8923
0.7126
0.9806
0.9473
0.5706
0.5117
0.8669
0.8314
0.8581
0.9307
0.9196
0.8911
0.832
0.724
0.004
0.006
0.5405
0.6455
0.0299
0.7093
0.1327
0.238
0.9029
0.8553
16.1892
0.851
0.9162
12.7161
0.768
0.685
2.3289
21.9176
8.4942
0.085
19.1341
LlamaForCausalLM
bfloat16
apache-2.0
13.708
0
main
4
True
v1.4.1
v0.6.3.post1
🟢 : pretrained
llm-jp/llm-jp-3.1-13b
0.4095
0.004
0.3876
0.1542
0.2512
0.5654
0.212
0.834
0.6639
0.4284
0.9184
0.085
0.5277
0.8481
13.228
0.9055
0.9437
16.8932
0.8496
0.3876
0
0.8362
0.5403
0.9142
0.3152
0.4222
0.8537
0.2045
0.8847
0.9184
0.9064
0.8793
0.782
0.212
0.004
0.006
0.0802
0.4423
0.0025
0.0069
0.0101
0.0931
0.6586
0.812
10.0165
0.8353
0.9037
10.9126
0.7455
0.685
2.3289
21.9176
8.4942
0.085
19.1341
LlamaForCausalLM
bfloat16
apache-2.0
13.708
0
main
0
True
v1.4.1
v0.6.3.post1
🟢 : pretrained
llm-jp/llm-jp-3.1-1.8b
0.4928
0
0.4566
0.2997
0.4041
0.7019
0.58
0.8263
0.6552
0.5253
0.8832
0.0889
0.6205
0.8575
11.9047
0.8955
0.9477
15.1667
0.8717
0.4566
0.755
0.5029
0.6681
0.7292
0.4734
0.4106
0.7831
0.7664
0.5557
0.8832
0.7827
0.5909
0.6216
0.58
0
0
0.3977
0.482
0.0139
0.5153
0.0973
0.0851
0.7869
0.8023
8.8342
0.8035
0.901
10.8811
0.7344
0.6873
2.3093
23.9284
8.8985
0.0889
20.2442
LlamaForCausalLM
bfloat16
apache-2.0
1.868
0
main
4
True
v1.4.1
v0.6.3.post1
🟢 : pretrained
llm-jp/llm-jp-3.1-1.8b
0.3772
0
0.2045
0.1382
0.2004
0.649
0.196
0.8171
0.7007
0.2839
0.8704
0.0889
0.3739
0.8387
11.0389
0.8932
0.9453
13.6524
0.8668
0.2045
0.5874
0.569
0.6694
0.7105
0.1858
0.1418
0.7732
0.6806
0.8114
0.8704
0.7751
0.7857
0.649
0.196
0
0
0.2591
0.2919
0
0.0135
0
0.005
0.6724
0.7691
7.2238
0.7829
0.8939
9.2184
0.7255
0.6873
2.3093
23.9284
8.8985
0.0889
20.2442
LlamaForCausalLM
bfloat16
apache-2.0
1.868
0
main
0
True
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
DreadPoor/Irix-12B-Model_Stock
0.5179
0.4839
0.3289
0.1535
0.4789
0.7513
0.674
0.8316
0.6508
0.3845
0.8501
0.1095
0.4532
0.8412
10.2281
0.8991
0.9489
14.3765
0.8779
0.3289
0.8001
0.5201
0.7528
0.8543
0.3182
0.4434
0.4334
0.762
0.7859
0.8501
0.851
0.8087
0.5994
0.674
0.4839
0.9578
0.5145
0.3822
0.0108
0.003
0.0619
0.011
0.6807
0.7897
8.064
0.8115
0.893
9.0049
0.738
0.7016
2.9623
28.906
10.9409
0.1095
24.9871
MistralForCausalLM
bfloat16
12.248
17
main
0
False
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
DreadPoor/Irix-12B-Model_Stock
0.5967
0.4839
0.5329
0.2627
0.6044
0.8483
0.762
0.8435
0.6972
0.5165
0.903
0.1095
0.5393
0.8574
12.0996
0.9046
0.9515
15.8011
0.8817
0.5329
0.895
0.5115
0.7778
0.9258
0.5083
0.5563
0.7609
0.7683
0.6675
0.903
0.8728
0.8468
0.724
0.762
0.4839
0.9578
0.6524
0.5017
0.0479
0.3445
0.0708
0.0782
0.7722
0.8204
10.2716
0.8343
0.9002
9.8325
0.7535
0.7016
2.9623
28.906
10.9409
0.1095
24.9871
MistralForCausalLM
bfloat16
12.248
17
main
4
False
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
yamatazen/Twilight-SCE-12B-v2
0.2821
0.3092
0.2124
0.2439
0.001
0.5506
0.056
0.8301
0.2204
0.3091
0.2396
0.1303
0.2567
0.8572
11.3708
0.9049
0.948
15.704
0.8714
0.2124
0
0.158
0
0.9214
0.2544
0.002
0.3381
0.2418
0.3641
0.2396
0.8695
0.838
0.7303
0.056
0.3092
0.5502
0.0001
0.4163
0.0238
0.3194
0.0531
0.0789
0.744
0.8152
10.1501
0.8264
0.8868
9.9912
0.7179
0.7189
2.8479
38.0982
13.0247
0.1303
30.8768
MistralForCausalLM
bfloat16
12.248
4
main
4
False
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
yamatazen/Twilight-SCE-12B-v2
0.2902
0.3092
0.1292
0.1461
0.0055
0.439
0.54
0.7984
0.1402
0.2666
0.2876
0.1303
0.3922
0.8383
10.5277
0.8963
0.9376
14.8491
0.8384
0.1292
0
0.2644
0
0.7632
0.0493
0.0011
0.1582
0
0.2783
0.2876
0.8544
0.8098
0.5539
0.54
0.3092
0.5502
0.01
0.3583
0.0092
0.0012
0.0265
0.0044
0.6893
0.7828
7.6749
0.8051
0.8638
8.4941
0.6539
0.7189
2.8479
38.0982
13.0247
0.1303
30.8768
MistralForCausalLM
bfloat16
12.248
4
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
deep-analysis-research/test-qwen2.5-32b
0.6553
0.5281
0.5894
0.2737
0.7757
0.8966
0.944
0.8479
0.8106
0.541
0.9047
0.097
0.553
0.8644
13.2738
0.9081
0.9554
17.7737
0.8859
0.5894
0.8975
0.6724
0.8431
0.958
0.5672
0.7515
0.8973
0.7835
0.8569
0.9047
0.8895
0.877
0.8343
0.944
0.5281
0.755
0.8
0.5029
0.0543
0.3837
0
0.1104
0.8204
0.8291
10.9975
0.8389
0.9045
11.1213
0.7585
0.6926
2.7959
25.855
9.7054
0.097
22.5323
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
0
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
deep-analysis-research/test-qwen2.5-32b
0.5443
0.5281
0.107
0.1453
0.568
0.8739
0.79
0.8386
0.7647
0.3873
0.8871
0.097
0.4392
0.8489
11.3776
0.9009
0.9511
15.766
0.8797
0.107
0.9046
0.6494
0.7944
0.9303
0.2681
0.5561
0.82
0.798
0.7615
0.8871
0.8951
0.8761
0.7869
0.79
0.5281
0.755
0.58
0.4547
0.0281
0.0071
0.0354
0.0058
0.6499
0.8004
8.7234
0.8268
0.8969
9.5439
0.7471
0.6926
2.7959
25.855
9.7054
0.097
22.5323
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
0
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/test-qwen2.5-14b-wo-system-v1
0.623
0
0.6726
0.5121
0.7244
0.9311
0.856
0.7405
0.9341
0.4865
0.9044
0.091
0.5712
0.847
15.0786
0.838
0.9572
19.1294
0.887
0.6726
0.9279
0.9511
0.9986
0.9643
0.5762
0.6865
0.9228
0.8939
0.9042
0.9044
0.927
0.9012
0.9013
0.856
0
0.004
0.7622
0.3121
0.2985
0.8677
0
0.4678
0.9266
0.67
20.8196
0.5074
0.9047
14.9092
0.7295
0.6743
7.4941
17.3256
9.1051
0.091
15.5768
Qwen2ForCausalLM
bfloat16
apache-2.0
14.77
0
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/test-qwen2.5-14b-wo-system-v1
0.5436
0
0.5998
0.4853
0.6351
0.935
0.464
0.6654
0.9426
0.3284
0.833
0.091
0.4524
0.7093
14.3812
0.5919
0.957
18.8974
0.8858
0.5998
0.9331
0.9655
1
0.9643
0.4843
0.6176
0.933
0.8971
0.9176
0.833
0.9273
0.9028
0.9076
0.464
0
0.004
0.6525
0.0485
0.242
0.8858
0
0.379
0.9197
0.6568
21.8939
0.4864
0.8944
15.0852
0.6977
0.6743
7.4941
17.3256
9.1051
0.091
15.5768
Qwen2ForCausalLM
bfloat16
apache-2.0
14.77
0
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
yellowtown/Japanese-Qwen2.5-14B-Instruct-V1
0.6638
0.5964
0.62
0.4027
0.704
0.8808
0.822
0.7893
0.8198
0.5275
0.8783
0.2605
0.5448
0.8639
12.5691
0.9002
0.926
16.4489
0.797
0.62
0.8875
0.6925
0.9417
0.95
0.5597
0.6792
0.8862
0.7809
0.7978
0.8783
0.9125
0.8842
0.8048
0.822
0.5964
0.8996
0.7289
0.4779
0.1603
0.71
0.0177
0.2513
0.8744
0.8341
13.1918
0.8345
0.8647
11.6461
0.6256
0.7828
7.5932
51.3622
26.0449
0.2605
43.3101
Qwen2ForCausalLM
bfloat16
other
14.77
0
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
yellowtown/Japanese-Qwen2.5-14B-Instruct-V1
0.6812
0.5964
0.6519
0.408
0.7403
0.8899
0.868
0.7778
0.8145
0.5723
0.914
0.2605
0.5586
0.8647
12.9409
0.9014
0.9535
16.9098
0.8802
0.6519
0.8798
0.6839
0.9014
0.9625
0.6072
0.7083
0.8887
0.7816
0.8171
0.914
0.9193
0.8896
0.8275
0.868
0.5964
0.8996
0.7723
0.551
0.1704
0.7174
0.0088
0.2584
0.885
0.7923
14.4908
0.7568
0.8528
11.5903
0.5727
0.7828
7.5932
51.3622
26.0449
0.2605
43.3101
Qwen2ForCausalLM
bfloat16
other
14.77
0
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/D2IL-Japanese-Qwen2.5-32B-Instruct-v0.1
0.71
0.6084
0.6782
0.4321
0.7902
0.9139
0.938
0.7954
0.8793
0.5897
0.9005
0.2843
0.5928
0.8642
14.0819
0.8872
0.9557
18.1003
0.8832
0.6782
0.9123
0.7874
0.9917
0.9651
0.6449
0.7673
0.9104
0.8251
0.8821
0.9005
0.9345
0.9101
0.8643
0.938
0.6084
0.8153
0.8131
0.5313
0.2131
0.7041
0.0088
0.3116
0.9228
0.8497
16.6929
0.8414
0.8532
12.2253
0.5697
0.7925
8.0612
53.4088
28.4139
0.2843
45.313
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
0
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/D2IL-Japanese-Qwen2.5-32B-Instruct-v0.1
0.5729
0.6084
0.5899
0.4076
0.7265
0.9047
0.032
0.8139
0.8653
0.4293
0.6402
0.2843
0.5512
0.8713
13.7411
0.8999
0.957
17.9677
0.8867
0.5899
0.9028
0.7931
0.9833
0.9589
0.5787
0.6696
0.8747
0.8131
0.8624
0.6402
0.9334
0.9095
0.8524
0.032
0.6084
0.8153
0.7835
0.1579
0.1409
0.7266
0.0265
0.2361
0.9078
0.8461
16.1777
0.8408
0.8696
12.0218
0.6282
0.7925
8.0612
53.4088
28.4139
0.2843
45.313
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
0
main
0
False
v1.4.1
v0.6.3.post1
🟦 : RL-tuned (Preference optimization)
RekaAI/reka-flash-3.1
0.3808
0
0.2905
0.1496
0.4779
0.5621
0.15
0.7756
0.6233
0.2309
0.8311
0.0982
0.2234
0.7969
7.0794
0.7958
0.9438
12.9156
0.8699
0.2905
0.5829
0.523
0.7125
0.6604
0.1869
0.4462
0.5887
0.7569
0.5352
0.8311
0.4547
0.4738
0.4429
0.15
0
0
0.5095
0.2823
0.0083
0.0192
0.0354
0.0019
0.6831
0.742
5.2058
0.7097
0.8884
8.601
0.727
0.6981
2.5179
28.2482
9.8321
0.0982
24.2453
LlamaForCausalLM
bfloat16
apache-2.0
20.905
65
main
0
False
v1.4.1
v0.6.3.post1
🟦 : RL-tuned (Preference optimization)
RekaAI/reka-flash-3.1
0.5453
0
0.5609
0.2911
0.6036
0.8484
0.746
0.8352
0.6955
0.4184
0.9013
0.0982
0.3842
0.8577
12.0096
0.9023
0.9501
15.3753
0.8786
0.5609
0.8742
0.6207
0.7514
0.9142
0.4479
0.5755
0.749
0.7374
0.6192
0.9013
0.8941
0.8614
0.7568
0.746
0
0
0.6317
0.4229
0.0034
0.4425
0.0973
0.0751
0.8372
0.8037
8.7905
0.8103
0.8992
9.6683
0.7496
0.6981
2.5179
28.2482
9.8321
0.0982
24.2453
LlamaForCausalLM
bfloat16
apache-2.0
20.905
65
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Gemma-2-Llama-Swallow-27b-it-v0.1
0.5305
0.0341
0.494
0.2457
0.5808
0.6566
0.798
0.8342
0.6334
0.5383
0.9159
0.1044
0.72
0.8736
13.7033
0.9095
0.9534
17.9655
0.8792
0.494
0.6308
0.5172
0.7069
0.8865
0.4843
0.5442
0.5698
0.7658
0.6071
0.9159
0.7836
0.775
0.4525
0.798
0.0341
0.0964
0.6174
0.4105
0.0152
0.3275
0.0619
0.0608
0.763
0.8213
11.6736
0.8105
0.9026
11.1599
0.7374
0.6967
2.2009
30.8517
10.4405
0.1044
25.4934
Gemma2ForCausalLM
bfloat16
gemma;llama3.3
27.227
2
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Gemma-2-Llama-Swallow-27b-it-v0.1
0.2651
0.0341
0
0.1007
0.0297
0.5259
0.156
0.6502
0.4492
0.1522
0.7132
0.1044
0.1826
0.7556
6.33
0.6847
0.8815
9.9343
0.7712
0
0.7665
0.4282
0.6417
0.4504
0.1179
0.0573
0.2219
0.6439
0.3103
0.7132
0.6589
0.6906
0.3609
0.156
0.0341
0.0964
0.0021
0.156
0
0
0.0088
0
0.4947
0.6903
4.0924
0.5484
0.8328
6.5642
0.5965
0.6967
2.2009
30.8517
10.4405
0.1044
25.4934
Gemma2ForCausalLM
bfloat16
gemma;llama3.3
27.227
2
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
nvidia/AceReason-Nemotron-14B
0.208
0.1345
0.1748
0.0516
0.0065
0.2898
0.002
0.7397
0.1511
0.1414
0.4902
0.1061
0.0903
0.7816
7.0068
0.787
0.9141
10.7782
0.8127
0.1748
0.0296
0.2701
0
0.3485
0.1542
0.0003
0.2301
0.0057
0.2498
0.4902
0.6837
0.6948
0.4914
0.002
0.1345
0.3032
0.0127
0.1797
0.005
0.0103
0.0206
0
0.2218
0.7303
6.2135
0.6917
0.8605
6.917
0.6674
0.6967
2.41
30.3184
10.6083
0.1061
22.1073
Qwen2ForCausalLM
bfloat16
other
14.77
91
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
nvidia/AceReason-Nemotron-14B
0.5689
0.1345
0.5732
0.2131
0.6711
0.8341
0.784
0.8262
0.7619
0.4532
0.9004
0.1061
0.4274
0.8457
10.4264
0.8904
0.9478
15.1999
0.8749
0.5732
0.8712
0.6063
0.7736
0.9285
0.5068
0.6312
0.8225
0.7753
0.8319
0.9004
0.8657
0.8384
0.7027
0.784
0.1345
0.3032
0.711
0.4253
0.0309
0.2923
0.0885
0.0388
0.6149
0.798
8.8732
0.8014
0.8946
9.9112
0.7382
0.6967
2.41
30.3184
10.6083
0.1061
22.1073
Qwen2ForCausalLM
bfloat16
other
14.77
91
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
YOYO-AI/Qwen2.5-14B-YOYO-Average
0.4603
0.3394
0.2351
0.1532
0.5269
0.5837
0.528
0.838
0.6107
0.3622
0.7855
0.1008
0.4067
0.8462
10.8475
0.8999
0.9511
15.6442
0.8788
0.2351
0.0772
0.6092
0.7944
0.9339
0.323
0.584
0.5004
0.6566
0.493
0.7855
0.8866
0.8597
0.7401
0.528
0.3394
0.5301
0.4698
0.357
0.0181
0.0106
0.0177
0.0003
0.7195
0.7952
8.5901
0.8229
0.8967
9.7236
0.7504
0.6944
2.7462
26.267
10.074
0.1008
22.7566
Qwen2ForCausalLM
bfloat16
apache-2.0
14.766
1
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
YOYO-AI/Qwen2.5-14B-YOYO-Average
0.6303
0.3394
0.5906
0.2708
0.7558
0.8888
0.892
0.8493
0.7851
0.5472
0.9132
0.1008
0.5486
0.8651
12.8167
0.9092
0.955
17.2624
0.8861
0.5906
0.9033
0.6466
0.8208
0.9607
0.5514
0.73
0.8706
0.786
0.8017
0.9132
0.9025
0.8772
0.8025
0.892
0.3394
0.5301
0.7817
0.5415
0.0568
0.3967
0.0265
0.0744
0.7994
0.8279
10.987
0.8424
0.9053
11.0235
0.7594
0.6944
2.7462
26.267
10.074
0.1008
22.7566
Qwen2ForCausalLM
bfloat16
apache-2.0
14.766
1
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/Flux-Japanese-Qwen2.5-32B-Instruct-V1.0
0.735
0.761
0.7117
0.4786
0.7829
0.9124
0.932
0.8521
0.8861
0.5793
0.907
0.2821
0.5754
0.8703
13.5403
0.9027
0.9567
18.1787
0.8864
0.7117
0.9191
0.8534
0.9889
0.9553
0.5735
0.7568
0.91
0.8321
0.846
0.907
0.9349
0.9092
0.8629
0.932
0.761
0.996
0.8089
0.589
0.2755
0.7641
0.0442
0.3868
0.9222
0.8546
16.7948
0.8515
0.9111
12.4946
0.7676
0.7928
7.4672
53.967
28.2054
0.2821
45.6313
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
2
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
deep-analysis-research/Flux-Japanese-Qwen2.5-32B-Instruct-V1.0
0.742
0.761
0.6993
0.5176
0.7995
0.9133
0.942
0.84
0.8853
0.596
0.9262
0.2821
0.5836
0.8717
14.1371
0.9085
0.9556
17.9702
0.8847
0.6993
0.9103
0.8506
0.9972
0.9589
0.6052
0.7741
0.9125
0.8321
0.8342
0.9262
0.9341
0.9093
0.8708
0.942
0.761
0.996
0.825
0.5992
0.2879
0.7732
0.2212
0.3916
0.9141
0.8558
17.0122
0.8516
0.8971
12.6149
0.715
0.7928
7.4672
53.967
28.2054
0.2821
45.6313
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
2
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
rinna/qwen2.5-bakeneko-32b-instruct-v2
0.6635
0.6386
0.5695
0.2974
0.763
0.8954
0.932
0.8516
0.813
0.5261
0.905
0.107
0.5797
0.8609
12.9022
0.9096
0.9541
17.4196
0.885
0.5695
0.9033
0.7069
0.8583
0.958
0.5782
0.7374
0.8977
0.7727
0.8295
0.905
0.8831
0.875
0.8249
0.932
0.6386
0.99
0.7887
0.4203
0.0449
0.4216
0.0796
0.1065
0.8346
0.8363
11.6836
0.8471
0.9073
11.0314
0.7647
0.7076
1.2956
31.5854
10.7135
0.107
22.3902
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
9
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
rinna/qwen2.5-bakeneko-32b-instruct-v2
0.556
0.6386
0.0426
0.1404
0.7268
0.8753
0.776
0.8443
0.7729
0.317
0.8756
0.107
0.2923
0.8467
11.0959
0.9061
0.9508
15.3114
0.8804
0.0426
0.9078
0.7011
0.7875
0.9339
0.2257
0.7015
0.7551
0.7727
0.8478
0.8756
0.8556
0.8732
0.7843
0.776
0.6386
0.99
0.7522
0.433
0.0092
0.0203
0.0354
0.0142
0.6231
0.8131
9.6657
0.8382
0.8969
9.3358
0.7525
0.7076
1.2956
31.5854
10.7135
0.107
22.3902
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
9
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
abeja/ABEJA-Qwen2.5-32b-Japanese-v1.0
0.1918
0.1185
0.0253
0.0473
0.0212
0.6227
0
0.5374
0.2495
0.0972
0.3338
0.0566
0.1238
0.6655
12.7263
0.5585
0.8015
15.4733
0.451
0.0253
0.1195
0.5862
0
0.9491
0.1196
0.0056
0.2995
0
0.3619
0.3338
0.9042
0.8757
0.7994
0
0.1185
0.2831
0.0368
0.0483
0
0.0089
0
0.0007
0.227
0.6309
9.3728
0.5872
0.8145
8.8783
0.5528
0.6345
2.8075
16.2878
5.6666
0.0566
13.1605
Qwen2ForCausalLM
float16
apache-2.0
32.764
5
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
abeja/ABEJA-Qwen2.5-32b-Japanese-v1.0
0.6011
0.1185
0.5672
0.1988
0.7881
0.917
0.94
0.6372
0.8146
0.6679
0.9066
0.0566
0.7407
0.7057
13.8757
0.5763
0.8715
17.0302
0.6529
0.5672
0.9269
0.6925
0.8681
0.9714
0.6536
0.7769
0.8952
0.7841
0.8332
0.9066
0.8909
0.8775
0.8529
0.94
0.1185
0.2831
0.7994
0.6093
0.0853
0.1815
0.0885
0.1164
0.5221
0.6934
12.3998
0.6344
0.8687
11.0177
0.685
0.6345
2.8075
16.2878
5.6666
0.0566
13.1605
Qwen2ForCausalLM
float16
apache-2.0
32.764
5
main
4
False
v1.4.1
v0.6.3.post1