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
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
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jmmlu_exact_match
float64
0
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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
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0.94
jsts_spearman
float64
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0.91
kuci_exact_match
float64
0
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mawps_exact_match
float64
0
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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
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wiki_reading_char_f1
float64
0
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wikicorpus-e-to-j_bert_score_ja_f1
float64
0
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wikicorpus-e-to-j_bleu_ja
float64
0
24
wikicorpus-e-to-j_comet_wmt22
float64
0.18
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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
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LlamaForCausalLM
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⭕ : instruction-tuned
meta-llama/Meta-Llama-3-8B-Instruct
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LlamaForCausalLM
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🟢 : pretrained
meta-llama/Llama-3.2-3B
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LlamaForCausalLM
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🟢 : pretrained
meta-llama/Llama-3.2-3B
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LlamaForCausalLM
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🟢 : pretrained
meta-llama/Llama-3.2-1B
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LlamaForCausalLM
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🟢 : pretrained
meta-llama/Llama-3.2-1B
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LlamaForCausalLM
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main
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🟢 : pretrained
meta-llama/Llama-3.1-70B
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LlamaForCausalLM
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4
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v1.4.1
v0.6.3.post1
🟢 : pretrained
meta-llama/Llama-3.1-70B
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LlamaForCausalLM
bfloat16
llama3.1
70.554
366
main
0
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v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-7b-it
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GemmaForCausalLM
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gemma
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v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-7b-it
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GemmaForCausalLM
bfloat16
gemma
8.538
273
main
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False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-2b-it
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GemmaForCausalLM
bfloat16
gemma
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v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-1.1-2b-it
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GemmaForCausalLM
bfloat16
gemma
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main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-2b-it
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GemmaForCausalLM
bfloat16
gemma
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744
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-2b-it
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GemmaForCausalLM
bfloat16
gemma
2.506
744
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-7b
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0
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GemmaForCausalLM
bfloat16
gemma
8.538
3,168
main
0
False
v1.4.1
v0.6.3.post1
🟢 : pretrained
google/gemma-7b
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GemmaForCausalLM
bfloat16
gemma
8.538
3,168
main
4
False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
google/gemma-7b-it
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1.961
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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
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GemmaForCausalLM
bfloat16
gemma
8.538
1,174
main
4
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🟢 : pretrained
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⭕ : instruction-tuned
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⭕ : instruction-tuned
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⭕ : instruction-tuned
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🟢 : pretrained
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🟢 : pretrained
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🟢 : pretrained
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🟢 : pretrained
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⭕ : instruction-tuned
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⭕ : instruction-tuned
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⭕ : instruction-tuned
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🟢 : pretrained
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LlamaForCausalLM
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🟢 : pretrained
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LlamaForCausalLM
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🟢 : pretrained
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🟢 : pretrained
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LlamaForCausalLM
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0
main
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v1.4.1
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🤝 : base merges and moerges
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🤝 : base merges and moerges
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main
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v1.4.1
v0.6.3.post1
🤝 : base merges and moerges
yamatazen/Twilight-SCE-12B-v2
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🤝 : base merges and moerges
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⭕ : instruction-tuned
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⭕ : instruction-tuned
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🔶 : fine-tuned
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0
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🔶 : fine-tuned
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0.091
15.5768
Qwen2ForCausalLM
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14.77
0
main
0
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v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
yellowtown/Japanese-Qwen2.5-14B-Instruct-V1
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26.0449
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43.3101
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other
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0
main
0
False
v1.4.1
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⭕ : instruction-tuned
yellowtown/Japanese-Qwen2.5-14B-Instruct-V1
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7.5932
51.3622
26.0449
0.2605
43.3101
Qwen2ForCausalLM
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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
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12.2253
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8.0612
53.4088
28.4139
0.2843
45.313
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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
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53.4088
28.4139
0.2843
45.313
Qwen2ForCausalLM
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32.764
0
main
0
False
v1.4.1
v0.6.3.post1
🟦 : RL-tuned (Preference optimization)
RekaAI/reka-flash-3.1
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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
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0
0.5609
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0.6317
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0.0034
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0.8992
9.6683
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0.6981
2.5179
28.2482
9.8321
0.0982
24.2453
LlamaForCausalLM
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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
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2.2009
30.8517
10.4405
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Gemma2ForCausalLM
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27.227
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main
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False
v1.4.1
v0.6.3.post1
⭕ : instruction-tuned
tokyotech-llm/Gemma-2-Llama-Swallow-27b-it-v0.1
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0
0.1007
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0.1522
0.7132
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6.33
0.6847
0.8815
9.9343
0.7712
0
0.7665
0.4282
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0.4504
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0.3103
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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
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27.227
2
main
0
False
v1.4.1
v0.6.3.post1
🔶 : fine-tuned
nvidia/AceReason-Nemotron-14B
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22.1073
Qwen2ForCausalLM
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main
0
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v1.4.1
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🔶 : fine-tuned
nvidia/AceReason-Nemotron-14B
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Qwen2ForCausalLM
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v1.4.1
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🔶 : fine-tuned
YOYO-AI/Qwen2.5-14B-YOYO-Average
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v1.4.1
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🔶 : fine-tuned
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0.1008
22.7566
Qwen2ForCausalLM
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14.766
1
main
4
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v1.4.1
v0.6.3.post1
🔶 : fine-tuned
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0.9111
12.4946
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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
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0.761
0.6993
0.5176
0.7995
0.9133
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0.84
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0.9556
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0.8971
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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
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0.6386
0.5695
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0.932
0.8516
0.813
0.5261
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0.107
0.5797
0.8609
12.9022
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0.9541
17.4196
0.885
0.5695
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0.7069
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