Datasets:
llm-jp
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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
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EL
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RC
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SUM
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aio_char_f1
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alt-e-to-j_bert_score_ja_f1
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alt-e-to-j_bleu_ja
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16
alt-e-to-j_comet_wmt22
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alt-j-to-e_bert_score_en_f1
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alt-j-to-e_bleu_en
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alt-j-to-e_comet_wmt22
float64
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jsquad_char_f1
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jsts_pearson
float64
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jsts_spearman
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niilc_char_f1
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wiki_coreference_set_f1
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wiki_ner_set_f1
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wiki_reading_char_f1
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wikicorpus-e-to-j_bert_score_ja_f1
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wikicorpus-e-to-j_comet_wmt22
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wikicorpus-j-to-e_bert_score_en_f1
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wikicorpus-j-to-e_bleu_en
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wikicorpus-j-to-e_comet_wmt22
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xlsum_ja_bleu_ja
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xlsum_ja_rouge2_scaling
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xlsum_ja_rougeLsum
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architecture
stringclasses
12 values
precision
stringclasses
3 values
license
stringclasses
15 values
params
float64
0
70.6
likes
int64
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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
llm-jp/llm-jp-3-1.8b-instruct
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LlamaForCausalLM
bfloat16
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20
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3-1.8b-instruct
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⭕ : instruction-tuned
llm-jp/llm-jp-3-13b-instruct
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LlamaForCausalLM
bfloat16
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v0.6.3.post1
⭕ : instruction-tuned
llm-jp/llm-jp-3-13b-instruct
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LlamaForCausalLM
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⭕ : instruction-tuned
llm-jp/llm-jp-3-3.7b-instruct
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LlamaForCausalLM
bfloat16
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main
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⭕ : instruction-tuned
llm-jp/llm-jp-3-3.7b-instruct
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LlamaForCausalLM
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main
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⭕ : instruction-tuned
Qwen/Qwen2.5-32B-Instruct
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9.7054
0.097
22.5323
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
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main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
Qwen/Qwen2.5-32B-Instruct
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9.7054
0.097
22.5323
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
120
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
Qwen/Qwen2.5-7B-Instruct
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29.1184
9.8419
0.0983
23.7063
Qwen2ForCausalLM
bfloat16
apache-2.0
7.616
271
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
Qwen/Qwen2.5-7B-Instruct
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0.0143
0.5029
0
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0.01
0.0234
0
0
0.3778
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0.6785
0.8165
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0.5654
0.692
2.1112
29.1184
9.8419
0.0983
23.7063
Qwen2ForCausalLM
bfloat16
apache-2.0
7.616
271
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
weblab-GENIAC/Tanuki-8B-dpo-v1.0
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0.8351
10.0227
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0
0.0212
0
0.0096
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8.5388
0.7346
0.7025
2.3051
34.8952
10.8447
0.1083
28.3762
LlamaForCausalLM
bfloat16
apache-2.0
7.512
29
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
weblab-GENIAC/Tanuki-8B-dpo-v1.0
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0
0.0873
0
0.1774
0
0.829
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0
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0
0
0
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0.7355
0.7025
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34.8952
10.8447
0.1083
28.3762
LlamaForCausalLM
bfloat16
apache-2.0
7.512
29
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1
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12.9227
0.7651
0.6804
3.3097
20.1389
8.5601
0.0856
18.0061
LlamaForCausalLM
bfloat16
llama3.1;gemma
70.554
3
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1
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10.8013
0.5556
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0.0856
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LlamaForCausalLM
bfloat16
llama3.1;gemma
70.554
3
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2
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LlamaForCausalLM
bfloat16
llama3.1;gemma
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6
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2
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0.3547
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0.0088
0
0.7798
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10.2604
0.7328
0.6827
2.8084
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8.8428
0.0883
18.9717
LlamaForCausalLM
bfloat16
llama3.1;gemma
8.03
6
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
rinna/gemma-2-baku-2b-it
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0
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Gemma2ForCausalLM
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LlamaForCausalLM
bfloat16
llama3
8.03
11
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
rinna/llama-3-youko-70b-instruct
0.5358
0.4498
0.3448
0.1644
0.446
0.7631
0.808
0.8454
0.636
0.4595
0.8891
0.0871
0.4512
0.8558
12.2981
0.904
0.9512
17.0644
0.8793
0.3448
0.7911
0.5086
0.675
0.8445
0.4467
0.4581
0.4573
0.7677
0.7713
0.8891
0.86
0.8183
0.6538
0.808
0.4498
0.7028
0.434
0.4806
0
0.0224
0.0177
0.005
0.777
0.8197
10.0643
0.8368
0.9068
10.9401
0.7617
0.671
2.8969
21.0754
8.7164
0.0871
18.5691
LlamaForCausalLM
bfloat16
llama3
70.554
0
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
rinna/llama-3-youko-70b-instruct
0.6505
0.4498
0.5876
0.2869
0.7458
0.8863
0.934
0.8575
0.7479
0.6521
0.9203
0.0871
0.7374
0.8677
13.7925
0.9099
0.9584
18.5638
0.8905
0.5876
0.9018
0.6724
0.7764
0.9517
0.6348
0.7151
0.7609
0.7942
0.7355
0.9203
0.8946
0.8666
0.8054
0.934
0.4498
0.7028
0.7765
0.584
0.0542
0.3116
0.1416
0.0677
0.8596
0.8471
13.5325
0.8505
0.9163
12.5548
0.7793
0.671
2.8969
21.0754
8.7164
0.0871
18.5691
LlamaForCausalLM
bfloat16
llama3
70.554
0
main
4
False
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
ryota39/Tora-12B
0.5036
0
0.5251
0.1908
0.4971
0.7748
0.684
0.8132
0.6189
0.4522
0.8868
0.0972
0.4565
0.8568
11.6997
0.9014
0.9445
14.3901
0.8681
0.5251
0.8434
0.5259
0.7097
0.8794
0.4327
0.4685
0.5362
0.75
0.5728
0.8868
0.8288
0.8246
0.6016
0.684
0
0
0.5256
0.4674
0.0163
0.2399
0.0133
0.0305
0.6541
0.7675
6.7435
0.7813
0.8824
8.4109
0.702
0.6902
2.606
27.0004
9.7306
0.0972
22.9946
MistralForCausalLM
bfloat16
apache-2.0
12.248
1
main
4
False
v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
ryota39/Tora-12B
0.3728
0
0.0171
0.1148
0.2861
0.6261
0.56
0.798
0.5746
0.204
0.8228
0.0972
0.1097
0.8398
10.3864
0.8934
0.9431
13.1423
0.8644
0.0171
0.763
0.5201
0.7056
0.7417
0.2828
0.2824
0.4552
0.7544
0.4378
0.8228
0.8389
0.8398
0.3734
0.56
0
0
0.2898
0.2197
0.0025
0.0008
0.023
0
0.5474
0.734
5.0103
0.7377
0.8804
7.659
0.6964
0.6902
2.606
27.0004
9.7306
0.0972
22.9946
MistralForCausalLM
bfloat16
apache-2.0
12.248
1
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
Qwen/Qwen2.5-Coder-32B-Instruct
0.6196
0.6847
0.5416
0.2769
0.6754
0.8225
0.896
0.8349
0.7292
0.4215
0.858
0.0744
0.3762
0.8533
11.6603
0.8952
0.9501
15.695
0.8762
0.5416
0.8437
0.6523
0.8708
0.908
0.5112
0.6315
0.7502
0.6818
0.6911
0.858
0.8716
0.845
0.716
0.896
0.6847
0.755
0.7193
0.3772
0.0529
0.3638
0.1239
0.0749
0.769
0.8104
9.7551
0.8238
0.8991
10.3091
0.7445
0.6725
1.8374
21.7121
7.4326
0.0744
18.911
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
958
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
Qwen/Qwen2.5-Coder-32B-Instruct
0.4649
0.6847
0.2414
0.1542
0.5666
0.7859
0.332
0.8067
0.4242
0.2567
0.7872
0.0744
0.2702
0.825
8.635
0.8742
0.9437
13.3534
0.8633
0.2414
0.8236
0.4598
0.7194
0.8758
0.2579
0.5055
0.3977
0.1957
0.3485
0.7872
0.8391
0.8255
0.6582
0.332
0.6847
0.755
0.6278
0.2419
0.0231
0.0118
0.0708
0.0048
0.6604
0.7637
7.3008
0.7796
0.8868
8.9065
0.7098
0.6725
1.8374
21.7121
7.4326
0.0744
18.911
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
958
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Common-9B-gemma-2-it
0.3855
0.006
0.0125
0.0537
0.3964
0.6565
0.56
0.781
0.5944
0.284
0.7735
0.1228
0.2447
0.8243
9.2281
0.8642
0.9336
12.3934
0.8402
0.0125
0.7725
0.5259
0.5625
0.7498
0.313
0.4253
0.479
0.714
0.6905
0.7735
0.7556
0.7149
0.4472
0.56
0.006
0.0141
0.3675
0.2943
0.0064
0.0003
0
0
0.2616
0.7432
6.4405
0.7328
0.8779
8.6208
0.6867
0.714
2.8145
35.9536
12.2713
0.1228
29.3246
Gemma2ForCausalLM
bfloat16
gemma
9.242
31
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Common-9B-gemma-2-it
0.5275
0.006
0.4616
0.2047
0.609
0.7961
0.764
0.8381
0.6519
0.4585
0.89
0.1228
0.4946
0.86
11.9103
0.8978
0.9452
16.075
0.8646
0.4616
0.8304
0.4943
0.6778
0.8633
0.4892
0.5498
0.7005
0.6711
0.7161
0.89
0.8535
0.8079
0.6945
0.764
0.006
0.0141
0.6682
0.3916
0.0131
0.2754
0.0796
0.0708
0.5846
0.8216
9.7229
0.8338
0.904
10.8852
0.7563
0.714
2.8145
35.9536
12.2713
0.1228
29.3246
Gemma2ForCausalLM
bfloat16
gemma
9.242
31
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Humanities-9B-gemma-2-it
0.5294
0.0301
0.4571
0.1934
0.6078
0.8
0.758
0.8364
0.6586
0.4751
0.8835
0.1236
0.5006
0.8569
11.5508
0.8935
0.9446
15.2615
0.8634
0.4571
0.8447
0.5029
0.7222
0.8624
0.4724
0.5484
0.6927
0.6597
0.7154
0.8835
0.8472
0.8046
0.6929
0.758
0.0301
0.0562
0.6671
0.4522
0.017
0.2816
0.0354
0.0762
0.5568
0.8215
9.5432
0.8344
0.9036
10.7545
0.7545
0.7143
2.6119
36.4581
12.3595
0.1236
29.6341
Gemma2ForCausalLM
bfloat16
gemma
9.242
21
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Humanities-9B-gemma-2-it
0.3874
0.0301
0.0083
0.0518
0.4085
0.6664
0.572
0.7624
0.6096
0.2605
0.7687
0.1236
0.2273
0.8157
9.1465
0.8474
0.9309
12.2476
0.8339
0.0083
0.7861
0.5259
0.5611
0.7516
0.2606
0.4211
0.537
0.7172
0.7069
0.7687
0.7466
0.7017
0.4616
0.572
0.0301
0.0562
0.396
0.2936
0.0014
0
0
0
0.2577
0.7292
6.0949
0.7
0.8718
8.3038
0.6684
0.7143
2.6119
36.4581
12.3595
0.1236
29.6341
Gemma2ForCausalLM
bfloat16
gemma
9.242
21
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Qwen2.5-32B-Instruct
0.6217
0.2189
0.5779
0.2486
0.7633
0.8982
0.928
0.8501
0.8095
0.5476
0.9029
0.0942
0.5622
0.8649
13.1459
0.9085
0.9545
17.3022
0.8858
0.5779
0.9123
0.6925
0.8542
0.9625
0.5803
0.7343
0.8673
0.7784
0.8551
0.9029
0.9014
0.8823
0.8197
0.928
0.2189
0.2691
0.7923
0.5004
0.0025
0.3567
0
0.0806
0.8032
0.8248
10.4495
0.8444
0.9024
10.5557
0.7616
0.6932
2.5841
26.0188
9.4165
0.0942
22.2414
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
6
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/EZO-Qwen2.5-32B-Instruct
0.5255
0.2189
0.164
0.1459
0.6883
0.8671
0.736
0.8388
0.7692
0.3722
0.886
0.0942
0.3589
0.8446
10.8444
0.9003
0.9508
15.2871
0.8811
0.164
0.8938
0.6839
0.7778
0.9357
0.3282
0.6408
0.8073
0.7614
0.8155
0.886
0.8954
0.8736
0.7718
0.736
0.2189
0.2691
0.7358
0.4294
0.0083
0.0044
0
0.005
0.7118
0.7931
8.3381
0.8245
0.8967
9.4364
0.7493
0.6932
2.5841
26.0188
9.4165
0.0942
22.2414
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
6
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-8x7b-chat-v0.1
0.579
0.4398
0.5106
0.2509
0.553
0.7859
0.738
0.8295
0.6669
0.5578
0.906
0.1308
0.6857
0.859
12.5191
0.9048
0.948
15.3313
0.8715
0.5106
0.8835
0.5086
0.6569
0.8391
0.4662
0.5165
0.8003
0.7633
0.6052
0.906
0.8325
0.7804
0.6349
0.738
0.4398
0.9157
0.5895
0.5214
0.0142
0.2769
0.115
0.0787
0.7696
0.8112
9.7984
0.8191
0.8947
9.9615
0.7225
0.714
3.0687
34.8302
13.0565
0.1308
29.23
MixtralForCausalLM
bfloat16
apache-2.0
46.703
20
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-8x7b-chat-v0.1
0.4643
0.4398
0.1461
0.1553
0.4483
0.6098
0.586
0.8132
0.5708
0.4013
0.8056
0.1308
0.5219
0.8413
9.5173
0.8921
0.9451
12.9912
0.8695
0.1461
0.7282
0.4684
0.6806
0.7596
0.2338
0.3988
0.3652
0.6818
0.6582
0.8056
0.8181
0.7938
0.3416
0.586
0.4398
0.9157
0.4979
0.4483
0.0208
0.0054
0.0354
0
0.7151
0.7783
7.1414
0.7944
0.8831
8.0624
0.6967
0.714
3.0687
34.8302
13.0565
0.1308
29.23
MixtralForCausalLM
bfloat16
apache-2.0
46.703
20
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Llama-3.2-1B-Instruct
0.3059
0.006
0.3175
0.0299
0.3193
0.4104
0.448
0.6088
0.3826
0.2129
0.5948
0.0344
0.1483
0.7505
6.5622
0.7029
0.913
10.3897
0.7881
0.3175
0.4765
0.3391
0.5056
0.4683
0.3055
0.2801
0.5308
0.3163
0.2212
0.5948
0
0
0.2865
0.448
0.006
0.0321
0.3584
0.1849
0
0.0521
0
0.0123
0.0849
0.5608
1.4338
0.3883
0.8311
5.383
0.5558
0.6012
1.3537
12.4088
3.448
0.0344
9.9124
LlamaForCausalLM
bfloat16
llama3.2
1.236
573
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
meta-llama/Llama-3.2-1B-Instruct
0.1052
0.006
0
0.0318
0.0014
0.189
0
0.4682
0
0.1129
0.3138
0.0344
0.0727
0.6638
1.5895
0.5399
0.7425
0.1903
0.4989
0
0.4051
0
0
0.0179
0.1733
0
0
0
0
0.3138
-0.0837
-0.1146
0.1441
0
0.006
0.0321
0.0028
0.0929
0
0
0
0
0.1589
0.5919
1.3013
0.4303
0.7328
0.3692
0.4039
0.6012
1.3537
12.4088
3.448
0.0344
9.9124
LlamaForCausalLM
bfloat16
llama3.2
1.236
573
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/Llama-3.1-70B-EZO-1.1-it
0.4493
0.4759
0.1461
0.167
0.1811
0.87
0.374
0.8432
0.7253
0.3434
0.7049
0.1112
0.4223
0.8652
13.0595
0.9109
0.9559
17.4464
0.8853
0.1461
0.9236
0.6351
0.7486
0.9178
0.3892
0.0873
0.6265
0.7822
0.834
0.7049
0.8848
0.8564
0.7687
0.374
0.4759
0.7671
0.275
0.2188
0
0
0.0088
0
0.8263
0.8017
9.9795
0.8247
0.9003
10.2301
0.7519
0.7018
3.1569
26.8732
11.1146
0.1112
23.5595
LlamaForCausalLM
bfloat16
llama3.1
70.554
11
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
AXCXEPT/Llama-3.1-70B-EZO-1.1-it
0.6537
0.4759
0.5341
0.2846
0.7542
0.9071
0.902
0.8441
0.7667
0.7038
0.9073
0.1112
0.8429
0.8606
13.1933
0.8997
0.9486
17.0482
0.8675
0.5341
0.9354
0.6178
0.7847
0.9607
0.6168
0.7201
0.7896
0.8056
0.836
0.9073
0.8743
0.8479
0.8253
0.902
0.4759
0.7671
0.7883
0.6516
0.0263
0.3609
0.1239
0.0555
0.8567
0.8353
13.154
0.8452
0.9071
10.9842
0.7638
0.7018
3.1569
26.8732
11.1146
0.1112
23.5595
LlamaForCausalLM
bfloat16
llama3.1
70.554
11
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-8x7b-instruct-v0.1
0.5485
0.0502
0.5043
0.2695
0.565
0.7869
0.72
0.8283
0.6865
0.596
0.9122
0.115
0.6905
0.8604
11.8326
0.9048
0.9486
15.6642
0.8721
0.5043
0.8442
0.5172
0.7292
0.8919
0.5456
0.5253
0.7576
0.7664
0.6621
0.9122
0.8363
0.7498
0.6245
0.72
0.0502
0.1245
0.6048
0.552
0.0222
0.3319
0.1239
0.0908
0.7789
0.8137
10.0974
0.8189
0.8917
9.9485
0.7173
0.6983
2.8331
30.452
11.4983
0.115
25.7002
MixtralForCausalLM
bfloat16
apache-2.0
46.704
19
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-8x7b-instruct-v0.1
0.4249
0.0502
0.2769
0.1339
0.4183
0.6429
0.5
0.8189
0.5858
0.3979
0.7338
0.115
0.4678
0.8427
10.4168
0.8933
0.9465
12.8796
0.8725
0.2769
0.8818
0.5144
0.6944
0.7364
0.2846
0.3812
0.3726
0.6723
0.6753
0.7338
0.8244
0.8011
0.3106
0.5
0.0502
0.1245
0.4554
0.4413
0.015
0.0011
0.0088
0
0.6445
0.7794
7.5151
0.7969
0.8851
8.337
0.7127
0.6983
2.8331
30.452
11.4983
0.115
25.7002
MixtralForCausalLM
bfloat16
apache-2.0
46.704
19
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-70b-chat-v0.1
0.52
0
0.4993
0.2285
0.516
0.8123
0.636
0.8387
0.5423
0.6236
0.9103
0.1135
0.7876
0.8589
12.8743
0.9023
0.9513
15.9804
0.8781
0.4993
0.8702
0.4138
0.7139
0.8856
0.5177
0.4679
0.4491
0.5871
0.5476
0.9103
0.6075
0.5192
0.6811
0.636
0
0.002
0.564
0.5656
0.0013
0.274
0.0354
0.0384
0.7933
0.8237
11.0849
0.8292
0.9051
11.4481
0.745
0.7048
2.0013
32.715
11.3497
0.1135
27.593
LlamaForCausalLM
bfloat16
other
69.196
23
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
karakuri-ai/karakuri-lm-70b-chat-v0.1
0.3458
0
0.0708
0.1421
0.3197
0.4886
0.032
0.8226
0.5578
0.4086
0.848
0.1135
0.5177
0.8451
11.1751
0.8928
0.9485
14.225
0.8742
0.0708
0.7525
0.3649
0.5069
0.3342
0.2332
0.2231
0.5616
0.7102
0.645
0.848
0.202
0.4942
0.3792
0.032
0
0.002
0.4164
0.475
0.0025
0.0023
0
0
0.7056
0.7811
7.3019
0.7962
0.8954
9.1576
0.727
0.7048
2.0013
32.715
11.3497
0.1135
27.593
LlamaForCausalLM
bfloat16
other
69.196
23
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
anthracite-org/magnum-v2.5-12b-kto
0.5803
0.4659
0.5056
0.2575
0.5765
0.8432
0.742
0.8433
0.6803
0.4789
0.8929
0.0973
0.5346
0.8523
11.0049
0.9043
0.9507
15.6039
0.8798
0.5056
0.892
0.5546
0.75
0.9187
0.4296
0.5247
0.751
0.7557
0.5904
0.8929
0.8691
0.8385
0.7188
0.742
0.4659
0.8835
0.6283
0.4727
0.0461
0.3907
0.0265
0.0565
0.7675
0.8196
10.223
0.8337
0.901
9.7323
0.7555
0.6934
2.7577
28.2469
9.7173
0.0973
24.3763
MistralForCausalLM
float16
apache-2.0
12.248
40
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
anthracite-org/magnum-v2.5-12b-kto
0.431
0.4659
0.2191
0.1406
0.3713
0.6504
0.256
0.7663
0.6381
0.3328
0.8032
0.0973
0.3706
0.8273
9.1971
0.8933
0.8894
13.3192
0.7395
0.2191
0.7866
0.5115
0.7389
0.6711
0.26
0.316
0.3977
0.7462
0.7964
0.8032
0.7715
0.7927
0.4936
0.256
0.4659
0.8835
0.4266
0.3679
0.0233
0.0011
0
0
0.6786
0.7848
7.6412
0.8147
0.8558
8.2921
0.6179
0.6934
2.7577
28.2469
9.7173
0.0973
24.3763
MistralForCausalLM
float16
apache-2.0
12.248
40
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
mistralai/Mistral-Nemo-Instruct-2407
0.5006
0.4438
0.3349
0.1314
0.505
0.6974
0.664
0.8173
0.6304
0.3476
0.8248
0.1102
0.4349
0.8356
9.7971
0.8909
0.9465
13.9763
0.8721
0.3349
0.7142
0.4339
0.7028
0.8284
0.2038
0.447
0.5255
0.7247
0.765
0.8248
0.8271
0.7887
0.5497
0.664
0.4438
0.8594
0.563
0.4041
0.0058
0
0.0265
0
0.6245
0.7781
8.1055
0.7868
0.8889
8.9971
0.7192
0.702
2.6477
30.1236
11.0167
0.1102
25.8189
MistralForCausalLM
bfloat16
apache-2.0
12.248
1,242
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
mistralai/Mistral-Nemo-Instruct-2407
0.582
0.4438
0.5297
0.251
0.5899
0.8386
0.754
0.8382
0.6393
0.5034
0.904
0.1102
0.5181
0.8563
11.6408
0.902
0.9503
15.776
0.8793
0.5297
0.8848
0.408
0.7458
0.9205
0.5032
0.5397
0.689
0.6907
0.6629
0.904
0.8645
0.821
0.7105
0.754
0.4438
0.8594
0.6401
0.489
0.0358
0.3292
0.0442
0.0898
0.7562
0.8181
9.9231
0.8269
0.8978
9.7514
0.7447
0.702
2.6477
30.1236
11.0167
0.1102
25.8189
MistralForCausalLM
bfloat16
apache-2.0
12.248
1,242
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
cyberagent/Mistral-Nemo-Japanese-Instruct-2408
0.5436
0.0181
0.5247
0.2218
0.5626
0.8079
0.768
0.8355
0.7091
0.52
0.9142
0.0977
0.5393
0.8645
12.7846
0.9087
0.9497
15.6384
0.8786
0.5247
0.8196
0.592
0.8375
0.9133
0.5091
0.5346
0.7194
0.7696
0.6272
0.9142
0.8762
0.8532
0.6908
0.768
0.0181
0.0422
0.5905
0.5116
0.0209
0.2932
0.0442
0.0512
0.6994
0.7948
7.9257
0.8172
0.893
9.2525
0.7373
0.6934
2.6755
26.798
9.7702
0.0977
23.1335
MistralForCausalLM
bfloat16
apache-2.0
12.248
23
main
4
True
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
cyberagent/Mistral-Nemo-Japanese-Instruct-2408
0.4725
0.0181
0.2617
0.1413
0.4206
0.7856
0.684
0.8286
0.7287
0.3388
0.892
0.0977
0.2819
0.85
12.1913
0.9051
0.9484
14.8813
0.8773
0.2617
0.8312
0.6063
0.7847
0.8937
0.3612
0.5095
0.804
0.7696
0.6787
0.892
0.8913
0.8646
0.632
0.684
0.0181
0.0422
0.3316
0.3733
0.0095
0.0039
0.0265
0.0092
0.6575
0.7695
6.2908
0.8015
0.8889
8.8337
0.7306
0.6934
2.6755
26.798
9.7702
0.0977
23.1335
MistralForCausalLM
bfloat16
apache-2.0
12.248
23
main
0
True
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
Elizezen/Himeyuri-v0.1-12B
0.5838
0.4719
0.5117
0.2548
0.5801
0.8502
0.742
0.844
0.6753
0.4922
0.8967
0.1033
0.5394
0.8537
11.1719
0.9055
0.9511
16.1927
0.88
0.5117
0.8945
0.5345
0.7472
0.9267
0.4574
0.5301
0.7564
0.7519
0.5864
0.8967
0.8673
0.8357
0.7295
0.742
0.4719
0.8735
0.6301
0.4798
0.0395
0.3845
0.0177
0.0627
0.7698
0.8222
10.426
0.8357
0.9015
9.9963
0.7547
0.6968
2.7793
28.6041
10.3203
0.1033
24.6055
MistralForCausalLM
bfloat16
apache-2.0
12.248
10
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
Elizezen/Himeyuri-v0.1-12B
0.4116
0.4719
0.2167
0.1393
0.2734
0.5405
0.268
0.7667
0.6341
0.3081
0.8052
0.1033
0.3542
0.8028
9.2799
0.8537
0.9143
13.4908
0.777
0.2167
0.5168
0.5086
0.7264
0.6345
0.2323
0.2866
0.3895
0.7487
0.797
0.8052
0.8328
0.7993
0.4701
0.268
0.4719
0.8735
0.2601
0.3379
0.0106
0.0019
0
0.0014
0.6827
0.7734
7.6856
0.7975
0.8653
8.3046
0.6386
0.6968
2.7793
28.6041
10.3203
0.1033
24.6055
MistralForCausalLM
bfloat16
apache-2.0
12.248
10
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
spow12/ChatWaifu_v2.0_22B
0.5755
0.4498
0.489
0.2754
0.5818
0.7434
0.774
0.8296
0.7435
0.425
0.9072
0.1113
0.399
0.849
11.2044
0.8882
0.9473
15.5331
0.872
0.489
0.8069
0.6236
0.8236
0.7757
0.492
0.5027
0.7576
0.7399
0.7727
0.9072
0.8752
0.829
0.6476
0.774
0.4498
0.9137
0.6609
0.3841
0.002
0.5037
0.1062
0.079
0.6864
0.8089
9.9046
0.8128
0.8999
10.5372
0.7454
0.7051
2.6042
32.0946
11.1286
0.1113
27.1554
MistralForCausalLM
bfloat16
cc-by-nc-4.0
22.247
6
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
spow12/ChatWaifu_v2.0_22B
0.4908
0.4498
0.0584
0.1221
0.5491
0.6809
0.744
0.8135
0.6798
0.3484
0.842
0.1113
0.3116
0.826
9.8798
0.875
0.9448
14.384
0.8682
0.0584
0.7179
0.546
0.7611
0.7811
0.4214
0.4708
0.6742
0.7096
0.7079
0.842
0.8597
0.838
0.5437
0.744
0.4498
0.9137
0.6274
0.3123
0.002
0.004
0.0265
0.0103
0.5676
0.7695
6.8754
0.7822
0.8916
9.4839
0.7285
0.7051
2.6042
32.0946
11.1286
0.1113
27.1554
MistralForCausalLM
bfloat16
cc-by-nc-4.0
22.247
6
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
spow12/ChatWaifu_12B_v2.0
0.4009
0.4759
0.2443
0.1112
0.2387
0.4261
0.468
0.5958
0.6377
0.2964
0.825
0.0904
0.3011
0.7236
10.3014
0.6
0.8686
14.3307
0.521
0.2443
0.0098
0.4569
0.7431
0.7256
0.2627
0.3335
0.4528
0.7569
0.7788
0.825
0.8504
0.8101
0.5429
0.468
0.4759
0.8876
0.1439
0.3254
0.0025
0.001
0
0.0027
0.55
0.7188
8.0496
0.6563
0.8593
8.5589
0.6056
0.677
2.6975
24.4803
9.0565
0.0904
19.7651
MistralForCausalLM
bfloat16
cc-by-nc-4.0
12.248
11
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
spow12/ChatWaifu_12B_v2.0
0.5865
0.4759
0.5181
0.2591
0.5898
0.8507
0.752
0.8421
0.6773
0.4988
0.8976
0.0904
0.5378
0.8578
11.8316
0.9061
0.9515
15.9457
0.8809
0.5181
0.893
0.4885
0.75
0.9303
0.4831
0.5414
0.756
0.7626
0.6292
0.8976
0.8722
0.8432
0.7289
0.752
0.4759
0.8876
0.6382
0.4755
0.0492
0.358
0.0442
0.0699
0.7743
0.8223
10.3095
0.832
0.9009
9.937
0.7493
0.677
2.6975
24.4803
9.0565
0.0904
19.7651
MistralForCausalLM
bfloat16
cc-by-nc-4.0
12.248
11
main
4
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
augmxnt/shisa-gamma-7b-v1
0.4659
0.2369
0.0387
0.1173
0.3918
0.7352
0.476
0.8017
0.8178
0.4707
0.9121
0.1262
0.6101
0.8455
10.7929
0.8931
0.9422
13.3796
0.8623
0.0387
0.7751
0.6207
0.9486
0.8606
0.3184
0.3668
0.878
0.7854
0.8563
0.9121
0.9069
0.873
0.5701
0.476
0.2369
0.8574
0.4168
0.4836
0
0
0
0
0.5867
0.7639
7.1315
0.7741
0.8767
9.7167
0.6773
0.7158
2.6506
34.2569
12.6511
0.1262
28.614
MistralForCausalLM
bfloat16
apache-2.0
7.242
15
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
augmxnt/shisa-gamma-7b-v1
0.547
0.2369
0.4704
0.2215
0.4648
0.8258
0.622
0.8253
0.7628
0.5497
0.9113
0.1262
0.666
0.8601
12.2649
0.9022
0.9458
15.6194
0.8687
0.4704
0.8765
0.6034
0.8722
0.9178
0.4577
0.4541
0.8118
0.7797
0.7469
0.9113
0.8235
0.7898
0.683
0.622
0.2369
0.8574
0.4756
0.5253
0
0.2735
0.0265
0.0612
0.7464
0.7979
8.7329
0.8034
0.8925
10.2192
0.7268
0.7158
2.6506
34.2569
12.6511
0.1262
28.614
MistralForCausalLM
bfloat16
apache-2.0
7.242
15
main
4
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
Qwen/QwQ-32B-Preview
0.5785
0.6606
0.2402
0.1527
0.7286
0.8531
0.82
0.8396
0.7285
0.3296
0.8978
0.1134
0.1838
0.8478
11.7965
0.9037
0.9536
16.5924
0.8832
0.2402
0.895
0.6063
0.7139
0.9178
0.4363
0.6944
0.8012
0.7891
0.7319
0.8978
0.8994
0.8717
0.7464
0.82
0.6606
0.9478
0.7627
0.3686
0
0.0008
0.0531
0.0022
0.7073
0.7991
9.0753
0.8271
0.8955
9.2158
0.7442
0.7031
3.1354
29.4104
11.3342
0.1134
25.3233
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
594
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
Qwen/QwQ-32B-Preview
0.6715
0.6606
0.5794
0.2813
0.7756
0.8955
0.938
0.8487
0.7912
0.5775
0.9254
0.1134
0.5875
0.8633
12.6447
0.9093
0.9555
16.8456
0.8861
0.5794
0.9126
0.6609
0.8139
0.9517
0.6171
0.7557
0.8965
0.8049
0.7798
0.9254
0.8768
0.872
0.8223
0.938
0.6606
0.9478
0.7955
0.5279
0.0203
0.3842
0.1327
0.0816
0.7875
0.8335
12.1622
0.8381
0.9058
11.4057
0.7612
0.7031
3.1354
29.4104
11.3342
0.1134
25.3233
Qwen2ForCausalLM
bfloat16
apache-2.0
32.764
594
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
Qwen/Qwen2.5-14B-Instruct
0.5476
0.4438
0.2239
0.1282
0.6851
0.8539
0.794
0.8041
0.7474
0.3898
0.8551
0.0982
0.4017
0.8419
9.2171
0.8957
0.9195
15.4526
0.8051
0.2239
0.8945
0.6351
0.8306
0.9285
0.3404
0.6631
0.7703
0.6894
0.8114
0.8551
0.884
0.8556
0.7388
0.794
0.4438
0.7068
0.7072
0.4274
0.0209
0.0088
0.0088
0.0008
0.6014
0.792
7.5747
0.811
0.875
8.7641
0.7048
0.6941
2.8388
25.5114
9.8292
0.0982
22.4451
Qwen2ForCausalLM
bfloat16
apache-2.0
14.77
126
main
0
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
Qwen/Qwen2.5-14B-Instruct
0.6285
0.4438
0.5656
0.2613
0.7345
0.8802
0.892
0.8414
0.7568
0.5383
0.9019
0.0982
0.5091
0.8628
12.6532
0.9084
0.9458
16.5642
0.8663
0.5656
0.8988
0.6149
0.8278
0.9517
0.5883
0.7043
0.8225
0.762
0.7569
0.9019
0.8874
0.8586
0.7901
0.892
0.4438
0.7068
0.7648
0.5175
0.0969
0.3345
0.0147
0.0848
0.7754
0.8212
9.9418
0.8341
0.9023
10.5742
0.7567
0.6941
2.8388
25.5114
9.8292
0.0982
22.4451
Qwen2ForCausalLM
bfloat16
apache-2.0
14.77
126
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
AIDC-AI/Marco-o1
0.2171
0
0.1841
0.0632
0.1052
0.4735
0.042
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Qwen2ForCausalLM
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⭕ : instruction-tuned
AIDC-AI/Marco-o1
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0
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Qwen2ForCausalLM
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apache-2.0
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542
main
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False
v1.4.1
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