Dataset Preview
Full Screen Viewer
Full Screen
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<MMLU: struct<metric_name: double>, Truthful_qa: struct<metric_name: double>, ARC: struct<metric_name: double>, HellaSwag: struct<metric_name: double>, GSM8K: struct<metric_name: double>, GSM1K: struct<metric_name: double>, Winogrande: struct<metric_name: double>>
to
{'MMLU': {'metric_name': Value(dtype='float64', id=None)}, 'Truthful_qa': {'metric_name': Value(dtype='float64', id=None)}, 'ARC': {'metric_name': Value(dtype='float64', id=None)}, 'HellaSwag': {'metric_name': Value(dtype='float64', id=None)}, 'GSM8K': {'metric_name': Value(dtype='float64', id=None)}, 'Winogrande': {'metric_name': Value(dtype='float64', id=None)}}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<MMLU: struct<metric_name: double>, Truthful_qa: struct<metric_name: double>, ARC: struct<metric_name: double>, HellaSwag: struct<metric_name: double>, GSM8K: struct<metric_name: double>, GSM1K: struct<metric_name: double>, Winogrande: struct<metric_name: double>>
to
{'MMLU': {'metric_name': Value(dtype='float64', id=None)}, 'Truthful_qa': {'metric_name': Value(dtype='float64', id=None)}, 'ARC': {'metric_name': Value(dtype='float64', id=None)}, 'HellaSwag': {'metric_name': Value(dtype='float64', id=None)}, 'GSM8K': {'metric_name': Value(dtype='float64', id=None)}, 'Winogrande': {'metric_name': Value(dtype='float64', id=None)}}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2040, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
config
dict | results
dict |
|---|---|
{
"model_dtype": "torch.float16",
"model_name": "CerebrumTech/cere-llama-3-8b-tr"
} | {
"MMLU": {
"metric_name": 0.46180581231975154
},
"Truthful_qa": {
"metric_name": 0.48134093096145175
},
"ARC": {
"metric_name": 0.4308873720136519
},
"HellaSwag": {
"metric_name": 0.47871739866772045
},
"GSM8K": {
"metric_name": 0.0554290053151101
},
"Winogrande": {
"metric_name": 0.5624012638230648
}
} |
{
"model_dtype": "torch.float16",
"model_name": "CohereForAI/aya-23-35B"
} | {
"MMLU": {
"metric_name": 0.5536493381646085
},
"Truthful_qa": {
"metric_name": 0.44159595450971734
},
"ARC": {
"metric_name": 0.5162116040955631
},
"HellaSwag": {
"metric_name": 0.6028000451620188
},
"GSM8K": {
"metric_name": 0.49810174639331817
},
"GSM1K": {
"metric_name": 0.49810174639331817
},
"Winogrande": {
"metric_name": 0.6129541864139021
}
} |
{
"model_dtype": "torch.float16",
"model_name": "CohereForAI/aya-23-8B"
} | {
"MMLU": {
"metric_name": 0.4660208533609406
},
"Truthful_qa": {
"metric_name": 0.44053150342459574
},
"ARC": {
"metric_name": 0.4138225255972696
},
"HellaSwag": {
"metric_name": 0.5224116518008355
},
"GSM8K": {
"metric_name": 0.3082763857251329
},
"GSM1K": {
"metric_name": 0.3082763857251329
},
"Winogrande": {
"metric_name": 0.5695102685624013
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Commencis/Commencis-LLM"
} | {
"MMLU": {
"metric_name": 0.3582
},
"Truthful_qa": {
"metric_name": 0.4888
},
"ARC": {
"metric_name": 0.3361
},
"HellaSwag": {
"metric_name": 0.3319
},
"GSM8K": {
"metric_name": 0.0022
},
"Winogrande": {
"metric_name": 0.5165
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Eurdem/Defne-llama3.1-8B"
} | {
"MMLU": {
"metric_name": 0.5295031055900621
},
"Truthful_qa": {
"metric_name": 0.5115308205648597
},
"ARC": {
"metric_name": 0.46928327645051193
},
"HellaSwag": {
"metric_name": 0.5162018742237778
},
"GSM8K": {
"metric_name": 0.6013667425968109
},
"GSM1K": {
"metric_name": 0.6013667425968109
},
"Winogrande": {
"metric_name": 0.5710900473933649
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Eurdem/Defne_llama3_2x8B"
} | {
"MMLU": {
"metric_name": 0.5048
},
"Truthful_qa": {
"metric_name": 0.5349
},
"ARC": {
"metric_name": 0.4718
},
"HellaSwag": {
"metric_name": 0.4806
},
"GSM8K": {
"metric_name": 0.5747
},
"Winogrande": {
"metric_name": 0.5703
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Eurdem/Megatron_llama3_2x8B"
} | {
"MMLU": {
"metric_name": 0.5011461953708497
},
"Truthful_qa": {
"metric_name": 0.526653718203988
},
"ARC": {
"metric_name": 0.4718430034129693
},
"HellaSwag": {
"metric_name": 0.4773625381054533
},
"GSM8K": {
"metric_name": 0.5679574791192104
},
"Winogrande": {
"metric_name": 0.5766192733017378
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Eurdem/Pinokio_v1.0"
} | {
"MMLU": {
"metric_name": 0.41292612585964655
},
"Truthful_qa": {
"metric_name": 0.4887693221380527
},
"ARC": {
"metric_name": 0.38054607508532423
},
"HellaSwag": {
"metric_name": 0.4242971660833239
},
"GSM8K": {
"metric_name": 0.040242976461655276
},
"Winogrande": {
"metric_name": 0.5268562401263823
}
} |
{
"model_dtype": "torch.float16",
"model_name": "KOCDIGITAL/Kocdigital-LLM-8b-v0.1"
} | {
"MMLU": {
"metric_name": 0.47348
},
"Truthful_qa": {
"metric_name": 0.477
},
"ARC": {
"metric_name": 0.4488
},
"HellaSwag": {
"metric_name": 0.4861
},
"GSM8K": {
"metric_name": 0.4365
},
"Winogrande": {
"metric_name": 0.556
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Metin/LLaMA-3-8B-Instruct-TR-DPO"
} | {
"MMLU": {
"metric_name": 0.4971
},
"Truthful_qa": {
"metric_name": 0.5235
},
"ARC": {
"metric_name": 0.4453
},
"HellaSwag": {
"metric_name": 0.4592
},
"GSM8K": {
"metric_name": 0.5322
},
"Winogrande": {
"metric_name": 0.5545
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Morfoz-Aigap/Morfoz-LLM-8b-v1.0"
} | {
"MMLU": {
"metric_name": 0.4372
},
"Truthful_qa": {
"metric_name": 0.495
},
"ARC": {
"metric_name": 0.3865
},
"HellaSwag": {
"metric_name": 0.4813
},
"GSM8K": {
"metric_name": 0.31283
},
"Winogrande": {
"metric_name": 0.5797
}
} |
{
"model_dtype": "torch.float16",
"model_name": "NousResearch/Hermes-2-Pro-Mistral-7B"
} | {
"MMLU": {
"metric_name": 0.39162907638837535
},
"Truthful_qa": {
"metric_name": 0.4723526410552315
},
"ARC": {
"metric_name": 0.32081911262798635
},
"HellaSwag": {
"metric_name": 0.3638929660155809
},
"GSM8K": {
"metric_name": 0.2999240698557327
},
"Winogrande": {
"metric_name": 0.5323854660347551
}
} |
{
"model_dtype": "torch.float16",
"model_name": "NousResearch/Meta-Llama-3-8B"
} | {
"MMLU": {
"metric_name": 0.4928640094653553
},
"Truthful_qa": {
"metric_name": 0.47354505859506446
},
"ARC": {
"metric_name": 0.4402730375426621
},
"HellaSwag": {
"metric_name": 0.4879756125098792
},
"GSM8K": {
"metric_name": 0.31738800303720577
},
"Winogrande": {
"metric_name": 0.5560821484992101
}
} |
{
"model_dtype": "torch.float16",
"model_name": "NovusResearch/Novus-7b-tr_v1"
} | {
"MMLU": {
"metric_name": 0.4308
},
"Truthful_qa": {
"metric_name": 0.4885
},
"ARC": {
"metric_name": 0.3669
},
"HellaSwag": {
"metric_name": 0.3974
},
"GSM8K": {
"metric_name": 0.2969
},
"Winogrande": {
"metric_name": 0.5355
}
} |
{
"model_dtype": "torch.float16",
"model_name": "NovusResearch/Thestral-0.1-tr-chat-7B"
} | {
"MMLU": {
"metric_name": 0.22790800857797827
},
"Truthful_qa": {
"metric_name": null
},
"ARC": {
"metric_name": 0.22696245733788395
},
"HellaSwag": {
"metric_name": 0.25166534944112
},
"GSM8K": {
"metric_name": 0
},
"Winogrande": {
"metric_name": 0.4960505529225908
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Orbina/Orbita-v0.1"
} | {
"MMLU": {
"metric_name": 0.4951
},
"Truthful_qa": {
"metric_name": 0.5078
},
"ARC": {
"metric_name": 0.4197
},
"HellaSwag": {
"metric_name": 0.48
},
"GSM8K": {
"metric_name": 0.5041
},
"Winogrande": {
"metric_name": 0.5616
}
} |
{
"model_dtype": "torch.float16",
"model_name": "zgrgr/Meta-Llama-3.1-8B-Instruct"
} | {
"MMLU": {
"metric_name": 0.4966353619758929
},
"Truthful_qa": {
"metric_name": 0.5030797117568518
},
"ARC": {
"metric_name": 0.43686006825938567
},
"HellaSwag": {
"metric_name": 0.4490233713446991
},
"GSM8K": {
"metric_name": 0.55125284738041
},
"GSM1K": {
"metric_name": 0.55125284738041
},
"Winogrande": {
"metric_name": 0.5647709320695102
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Qwen/Qwen2-7B-Instruct"
} | {
"MMLU": {
"metric_name": 0.5202248021888635
},
"Truthful_qa": {
"metric_name": 0.5513880529020762
},
"ARC": {
"metric_name": 0.3779863481228669
},
"HellaSwag": {
"metric_name": 0.42802303262955854
},
"GSM8K": {
"metric_name": 0.5558086560364465
},
"Winogrande": {
"metric_name": 0.5434439178515008
}
} |
{
"model_dtype": "torch.float16",
"model_name": "TURKCELL/Turkcell-LLM-7b-v1"
} | {
"MMLU": {
"metric_name": 0.3903
},
"Truthful_qa": {
"metric_name": 0.4162
},
"ARC": {
"metric_name": 0.4343
},
"HellaSwag": {
"metric_name": 0.4918
},
"GSM8K": {
"metric_name": 0.2353
},
"Winogrande": {
"metric_name": 0.5687
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-7b-base-v1.0"
} | {
"MMLU": {
"metric_name": 0.37158914442061675
},
"Truthful_qa": {
"metric_name": 0.41060309496645
},
"ARC": {
"metric_name": 0.37372013651877134
},
"HellaSwag": {
"metric_name": 0.4388619171276956
},
"GSM8K": {
"metric_name": 0.03416856492027335
},
"Winogrande": {
"metric_name": 0.5837282780410743
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0"
} | {
"MMLU": {
"metric_name": 0.3961
},
"Truthful_qa": {
"metric_name": 0.4618
},
"ARC": {
"metric_name": 0.413
},
"HellaSwag": {
"metric_name": 0.4629
},
"GSM8K": {
"metric_name": 0.0714
},
"Winogrande": {
"metric_name": 0.5766
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-7b-chat-v0.1"
} | {
"MMLU": {
"metric_name": 0.3449
},
"Truthful_qa": {
"metric_name": 0.4219
},
"ARC": {
"metric_name": 0.3404
},
"HellaSwag": {
"metric_name": 0.4165
},
"GSM8K": {
"metric_name": 0.0167
},
"Winogrande": {
"metric_name": 0.5442
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-7b-chat-v1.0"
} | {
"MMLU": {
"metric_name": 0.3948
},
"Truthful_qa": {
"metric_name": 0.4312
},
"ARC": {
"metric_name": 0.3813
},
"HellaSwag": {
"metric_name": 0.4294
},
"GSM8K": {
"metric_name": 0.0523
},
"Winogrande": {
"metric_name": 0.5639
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-7b-chat-v1.8"
} | {
"MMLU": {
"metric_name": 0.4191377652887673
},
"Truthful_qa": {
"metric_name": 0.44459550818588606
},
"ARC": {
"metric_name": 0.39505119453924914
},
"HellaSwag": {
"metric_name": 0.4349102404877498
},
"GSM8K": {
"metric_name": 0.30372057706909644
},
"Winogrande": {
"metric_name": 0.580568720379147
}
} |
{
"model_dtype": "torch.float16",
"model_name": "Trendyol/Trendyol-LLM-8b-chat-v2.0"
} | {
"MMLU": {
"metric_name": 0.48543330375628513
},
"Truthful_qa": {
"metric_name": 0.4803474262879919
},
"ARC": {
"metric_name": 0.45307167235494883
},
"HellaSwag": {
"metric_name": 0.5525572993112792
},
"GSM8K": {
"metric_name": 0.5026575550493546
},
"GSM1K": {
"metric_name": 0.5026575550493546
},
"Winogrande": {
"metric_name": 0.5947867298578199
}
} |
{
"model_dtype": "torch.float16",
"model_name": "VeriUS/VeriUS-LLM-8b-v0.2"
} | {
"MMLU": {
"metric_name": 0.4881
},
"Truthful_qa": {
"metric_name": 0.4621
},
"ARC": {
"metric_name": 0.4642
},
"HellaSwag": {
"metric_name": 0.4783
},
"GSM8K": {
"metric_name": 0.4343
},
"Winogrande": {
"metric_name": 0.556
}
} |
{
"model_dtype": "torch.float16",
"model_name": "WiroAI/llama3.1-tr-v0.1"
} | {
"MMLU": {
"metric_name": 0.5240701027878429
},
"Truthful_qa": {
"metric_name": 0.49451032738707124
},
"ARC": {
"metric_name": 0.5008532423208191
},
"HellaSwag": {
"metric_name": 0.5400248391103082
},
"GSM8K": {
"metric_name": 0.554290053151101
},
"GSM1K": {
"metric_name": 0.554290053151101
},
"Winogrande": {
"metric_name": 0.5750394944707741
}
} |
{
"model_dtype": "torch.float16",
"model_name": "aerdincdal/CBDDO-LLM-8B-Instruct-v1"
} | {
"MMLU": {
"metric_name": 0.4380684759298972
},
"Truthful_qa": {
"metric_name": 0.45898189506718756
},
"ARC": {
"metric_name": 0.41638225255972694
},
"HellaSwag": {
"metric_name": 0.44507169470475333
},
"GSM8K": {
"metric_name": 0.008352315869400152
},
"Winogrande": {
"metric_name": 0.5315955766192733
}
} |
{
"model_dtype": "torch.float16",
"model_name": "aerdincdal/CBDDO-LLM-8B-Instruct-v1"
} | {
"MMLU": {
"metric_name": 0.437
},
"Truthful_qa": {
"metric_name": 0.4656
},
"ARC": {
"metric_name": 0.4215
},
"HellaSwag": {
"metric_name": 0.4526
},
"GSM8K": {
"metric_name": 0.0091
},
"Winogrande": {
"metric_name": 0.5379
}
} |
{
"model_dtype": "torch.float16",
"model_name": "asafaya/kanarya-2b"
} | {
"MMLU": {
"metric_name": 0.24136656067440657
},
"Truthful_qa": {
"metric_name": 0.43056237173575296
},
"ARC": {
"metric_name": 0.2935153583617747
},
"HellaSwag": {
"metric_name": 0.42610364683301344
},
"GSM8K": {
"metric_name": 0.015945330296127564
},
"Winogrande": {
"metric_name": 0.5
}
} |
{
"model_dtype": "torch.float16",
"model_name": "asafaya/kanarya-2b"
} | {
"MMLU": {
"metric_name": 0.24136656067440657
},
"Truthful_qa": {
"metric_name": 0.43056237173575296
},
"ARC": {
"metric_name": 0.2935153583617747
},
"HellaSwag": {
"metric_name": 0.42610364683301344
},
"GSM8K": {
"metric_name": 0.015945330296127564
},
"Winogrande": {
"metric_name": 0.5
}
} |
{
"model_dtype": "torch.float16",
"model_name": "asafaya/kanarya-750m"
} | {
"MMLU": {
"metric_name": 0.2426236781779191
},
"Truthful_qa": {
"metric_name": 0.43467431643538545
},
"ARC": {
"metric_name": 0.29692832764505117
},
"HellaSwag": {
"metric_name": 0.3844416845432991
},
"GSM8K": {
"metric_name": 0.01442672741078208
},
"Winogrande": {
"metric_name": 0.5063191153238547
},
"GSM1K": {
"metric_name": 0.0058997050147492625
}
} |
{
"model_dtype": "torch.float16",
"model_name": "berkecr/tr-dare-merge-7B"
} | {
"MMLU": {
"metric_name": 0.3112475042520151
},
"Truthful_qa": {
"metric_name": 0.382583721812538
},
"ARC": {
"metric_name": 0.28498293515358364
},
"HellaSwag": {
"metric_name": 0.3378119001919386
},
"GSM8K": {
"metric_name": 0.08731966590736523
},
"Winogrande": {
"metric_name": 0.5165876777251185
}
} |
{
"model_dtype": "torch.float16",
"model_name": "burak/Trendyol-Turkcell-7b-mixture"
} | {
"MMLU": {
"metric_name": 0.31797678030022924
},
"Truthful_qa": {
"metric_name": 0.4090851410328414
},
"ARC": {
"metric_name": 0.27559726962457337
},
"HellaSwag": {
"metric_name": 0.30032742463588125
},
"GSM8K": {
"metric_name": 0
},
"Winogrande": {
"metric_name": 0.504739336492891
}
} |
{
"model_dtype": "torch.float16",
"model_name": "curiositytech/MARS-v0.2"
} | {
"MMLU": {
"metric_name": 0.4613621237891001
},
"Truthful_qa": {
"metric_name": 0.48665216594195637
},
"ARC": {
"metric_name": 0.43856655290102387
},
"HellaSwag": {
"metric_name": 0.46573331827932707
},
"GSM8K": {
"metric_name": 0.5937737281700836
},
"Winogrande": {
"metric_name": 0.5284360189573459
}
} |
{
"model_dtype": "torch.float16",
"model_name": "curiositytech/MARS"
} | {
"MMLU": {
"metric_name": 0.46727797086445316
},
"Truthful_qa": {
"metric_name": 0.48530084653664834
},
"ARC": {
"metric_name": 0.4496587030716723
},
"HellaSwag": {
"metric_name": 0.4577170599525799
},
"GSM8K": {
"metric_name": 0.5125284738041003
},
"Winogrande": {
"metric_name": 0.5394944707740916
}
} |
{
"model_dtype": "torch.float16",
"model_name": "cypienai/cymist-2-v02-SFT"
} | {
"MMLU": {
"metric_name": 0.4331879020927309
},
"Truthful_qa": {
"metric_name": 0.4415913411600135
},
"ARC": {
"metric_name": 0.3771331058020478
},
"HellaSwag": {
"metric_name": 0.44845884611042114
},
"GSM8K": {
"metric_name": 0.2201974183750949
},
"Winogrande": {
"metric_name": 0.5458135860979463
}
} |
{
"model_dtype": "torch.float16",
"model_name": "cypienai/cymist-2-v03-SFT"
} | {
"MMLU": {
"metric_name": 0.4349626562153368
},
"Truthful_qa": {
"metric_name": 0.44898602402466015
},
"ARC": {
"metric_name": 0.3660409556313993
},
"HellaSwag": {
"metric_name": 0.4362651010500169
},
"GSM8K": {
"metric_name": 0.20273348519362186
},
"Winogrande": {
"metric_name": 0.5497630331753555
}
} |
{
"model_dtype": "torch.float16",
"model_name": "cypienai/cymist"
} | {
"MMLU": {
"metric_name": 0.3208
},
"Truthful_qa": {
"metric_name": 0.4692
},
"ARC": {
"metric_name": 0.3498
},
"HellaSwag": {
"metric_name": 0.4022
},
"GSM8K": {
"metric_name": 0.006
},
"Winogrande": {
"metric_name": 0.5371
}
} |
{
"model_dtype": "torch.float16",
"model_name": "cypienai/cymist2-v01-SFT"
} | {
"MMLU": {
"metric_name": 0.3761
},
"Truthful_qa": {
"metric_name": 0.4392
},
"ARC": {
"metric_name": 0.3651
},
"HellaSwag": {
"metric_name": 0.45
},
"GSM8K": {
"metric_name": 0.066
},
"Winogrande": {
"metric_name": 0.5205
}
} |
{
"model_dtype": "torch.float16",
"model_name": "google/gemma-2-2b-it"
} | {
"MMLU": {
"metric_name": 0.41721511498927755
},
"Truthful_qa": {
"metric_name": 0.484041166553975
},
"ARC": {
"metric_name": 0.371160409556314
},
"HellaSwag": {
"metric_name": 0.398103195212826
},
"GSM8K": {
"metric_name": 0.08200455580865604
},
"Winogrande": {
"metric_name": 0.5244865718799369
}
} |
{
"model_dtype": "torch.float16",
"model_name": "huggyllama/llama-7b"
} | {
"MMLU": {
"metric_name": 0.2588922576351401
},
"Truthful_qa": {
"metric_name": 0.43169172402480593
},
"ARC": {
"metric_name": 0.2508532423208191
},
"HellaSwag": {
"metric_name": 0.2931015016371232
},
"GSM8K": {
"metric_name": 0.016704631738800303
},
"Winogrande": {
"metric_name": 0.48973143759873616
}
} |
{
"model_dtype": "torch.float16",
"model_name": "malhajar/Mistral-7B-Instruct-v0.2-turkish"
} | {
"MMLU": {
"metric_name": 0.3851216446054869
},
"Truthful_qa": {
"metric_name": 0.4604028855292625
},
"ARC": {
"metric_name": 0.3506825938566553
},
"HellaSwag": {
"metric_name": 0.38737721576154455
},
"GSM8K": {
"metric_name": 0.14123006833712984
},
"Winogrande": {
"metric_name": 0.5229067930489731
}
} |
{
"model_dtype": "torch.float16",
"model_name": "malhajar/Mistral-7B-v0.2-meditron-turkish"
} | {
"MMLU": {
"metric_name": 0.37336389854322266
},
"Truthful_qa": {
"metric_name": 0.4698152667870169
},
"ARC": {
"metric_name": 0.3822525597269625
},
"HellaSwag": {
"metric_name": 0.3844416845432991
},
"GSM8K": {
"metric_name": 0.08959757023538345
},
"Winogrande": {
"metric_name": 0.5197472353870458
}
} |
{
"model_dtype": "torch.float16",
"model_name": "meta-llama/Meta-Llama-3-8B-Instruct"
} | {
"MMLU": {
"metric_name": 0.49404717888042593
},
"Truthful_qa": {
"metric_name": 0.4970343050531305
},
"ARC": {
"metric_name": 0.439419795221843
},
"HellaSwag": {
"metric_name": 0.4456362199390313
},
"GSM8K": {
"metric_name": 0.5398633257403189
},
"Winogrande": {
"metric_name": 0.5560821484992101
}
} |
{
"model_dtype": "torch.float16",
"model_name": "meta-llama/Meta-Llama-3-8B"
} | {
"MMLU": {
"metric_name": 0.4928640094653553
},
"Truthful_qa": {
"metric_name": 0.47354505859506446
},
"ARC": {
"metric_name": 0.4402730375426621
},
"HellaSwag": {
"metric_name": 0.4879756125098792
},
"GSM8K": {
"metric_name": 0.31738800303720577
},
"Winogrande": {
"metric_name": 0.5560821484992101
}
} |
{
"model_dtype": "torch.float16",
"model_name": "meta-llama/Meta-Llama-3.1-8B-Instruct"
} | {
"MMLU": {
"metric_name": 0.5232179828453121
},
"Truthful_qa": {
"metric_name": 0.49226540480192577
},
"ARC": {
"metric_name": 0.4445392491467577
},
"HellaSwag": {
"metric_name": 0.4915885740092582
},
"GSM8K": {
"metric_name": 0.5611237661351557
},
"GSM1K": {
"metric_name": 0.5611237661351557
},
"Winogrande": {
"metric_name": 0.5671406003159558
}
} |
{
"model_dtype": "torch.float16",
"model_name": "microsoft/Phi-3-mini-4k-instruct"
} | {
"MMLU": {
"metric_name": 0.342157805220735
},
"Truthful_qa": {
"metric_name": 0.45704161970077833
},
"ARC": {
"metric_name": 0.2593856655290102
},
"HellaSwag": {
"metric_name": 0.29987580444845885
},
"GSM8K": {
"metric_name": 0.12148823082763857
},
"GSM1K": {
"metric_name": 0.12148823082763857
},
"Winogrande": {
"metric_name": 0.5165876777251185
}
} |
{
"model_dtype": "torch.float16",
"model_name": "notbdq/mistral-turkish-v2"
} | {
"MMLU": {
"metric_name": 0.3269984470901427
},
"Truthful_qa": {
"metric_name": 0.4520176493869486
},
"ARC": {
"metric_name": 0.3302047781569966
},
"HellaSwag": {
"metric_name": 0.37281246471717283
},
"GSM8K": {
"metric_name": 0.0007593014426727411
},
"Winogrande": {
"metric_name": 0.5221169036334913
}
} |
{
"model_dtype": "torch.float16",
"model_name": "notlober/llama3-8b-tr"
} | {
"MMLU": {
"metric_name": 0.4597352658433779
},
"Truthful_qa": {
"metric_name": 0.4523010631732335
},
"ARC": {
"metric_name": 0.4112627986348123
},
"HellaSwag": {
"metric_name": 0.47081404538782884
},
"GSM8K": {
"metric_name": 0.38724373576309795
},
"Winogrande": {
"metric_name": 0.5339652448657188
}
} |
{
"model_dtype": "torch.float16",
"model_name": "nvidia/Llama3-ChatQA-1.5-8B"
} | {
"MMLU": {
"metric_name": 0.4737854026473416
},
"Truthful_qa": {
"metric_name": 0.5004162765382687
},
"ARC": {
"metric_name": 0.42406143344709896
},
"HellaSwag": {
"metric_name": 0.48266907530766623
},
"GSM8K": {
"metric_name": 0.02885345482156416
},
"Winogrande": {
"metric_name": 0.5434439178515008
}
} |
{
"model_dtype": "torch.float16",
"model_name": "sambanovasystems/SambaLingo-Turkish-Chat"
} | {
"MMLU": {
"metric_name": 0.3835
},
"Truthful_qa": {
"metric_name": 0.4411
},
"ARC": {
"metric_name": 0.4471
},
"HellaSwag": {
"metric_name": 0.553
},
"GSM8K": {
"metric_name": 0.0615
},
"Winogrande": {
"metric_name": 0.571
}
} |
{
"model_dtype": "torch.float16",
"model_name": "teknium/OpenHermes-2.5-Mistral-7B"
} | {
"MMLU": {
"metric_name": 0.40560526510389705
},
"Truthful_qa": {
"metric_name": 0.46019623944667454
},
"ARC": {
"metric_name": 0.3412969283276451
},
"HellaSwag": {
"metric_name": 0.3915547024952015
},
"GSM8K": {
"metric_name": 0.28170083523158695
},
"Winogrande": {
"metric_name": 0.5213270142180095
}
} |
{
"model_dtype": "torch.float16",
"model_name": "tolgadev/llama-2-7b-ruyallm"
} | {
"MMLU": {
"metric_name": 0.3403830510981291
},
"Truthful_qa": {
"metric_name": 0.42003020789928697
},
"ARC": {
"metric_name": 0.33361774744027306
},
"HellaSwag": {
"metric_name": 0.41910353392796657
},
"GSM8K": {
"metric_name": 0.01442672741078208
},
"Winogrande": {
"metric_name": 0.5410742496050553
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/Hermes-7B-TR"
} | {
"MMLU": {
"metric_name": 0.40730607113806105
},
"Truthful_qa": {
"metric_name": 0.44394252827078573
},
"ARC": {
"metric_name": 0.40273037542662116
},
"HellaSwag": {
"metric_name": 0.48086259455797675
},
"GSM8K": {
"metric_name": 0.05466970387243736
},
"Winogrande": {
"metric_name": 0.5703001579778831
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/LLama-3-8B-Instruction-tr"
} | {
"MMLU": {
"metric_name": 0.4736
},
"Truthful_qa": {
"metric_name": 0.5027
},
"ARC": {
"metric_name": 0.4274
},
"HellaSwag": {
"metric_name": 0.4888
},
"GSM8K": {
"metric_name": 0.2938
},
"Winogrande": {
"metric_name": 0.5489
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/TURKCELL-LLM-7B-openhermes"
} | {
"MMLU": {
"metric_name": 0.39000221844265326
},
"Truthful_qa": {
"metric_name": 0.4219778245893802
},
"ARC": {
"metric_name": 0.42406143344709896
},
"HellaSwag": {
"metric_name": 0.49170147905611383
},
"GSM8K": {
"metric_name": 0.30447987851176916
},
"Winogrande": {
"metric_name": 0.5679304897314376
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/Trendyol-LLM-7b-chat-v0.1-DPO"
} | {
"MMLU": {
"metric_name": 0.3378
},
"Truthful_qa": {
"metric_name": 0.4128
},
"ARC": {
"metric_name": 0.3447
},
"HellaSwag": {
"metric_name": 0.4214
},
"GSM8K": {
"metric_name": 0.0227
},
"Winogrande": {
"metric_name": 0.5418
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/Trendyol-LLM-7b-chat-v1.0-RLHF"
} | {
"MMLU": {
"metric_name": 0.3783184204688309
},
"Truthful_qa": {
"metric_name": 0.4287000745636075
},
"ARC": {
"metric_name": 0.3626279863481229
},
"HellaSwag": {
"metric_name": 0.4213616348650785
},
"GSM8K": {
"metric_name": 0.04859529233105543
},
"Winogrande": {
"metric_name": 0.566350710900474
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/llama-3-openhermes-tr"
} | {
"MMLU": {
"metric_name": 0.4778525475116468
},
"Truthful_qa": {
"metric_name": 0.4960030507948868
},
"ARC": {
"metric_name": 0.439419795221843
},
"HellaSwag": {
"metric_name": 0.48458846110421133
},
"GSM8K": {
"metric_name": 0.32270311313591493
},
"Winogrande": {
"metric_name": 0.5560821484992101
}
} |
{
"model_dtype": "torch.float16",
"model_name": "umarigan/llama-3.1-openhermes-tr"
} | {
"MMLU": {
"metric_name": 0.490571618723656
},
"Truthful_qa": {
"metric_name": 0.4878379865771679
},
"ARC": {
"metric_name": 0.4539249146757679
},
"HellaSwag": {
"metric_name": 0.4956531556960596
},
"GSM8K": {
"metric_name": 0.3470007593014427
},
"GSM1K": {
"metric_name": 0.3470007593014427
},
"Winogrande": {
"metric_name": 0.5521327014218009
}
} |
{
"model_dtype": "torch.float16",
"model_name": "ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1"
} | {
"MMLU": {
"metric_name": 0.5198550617466539
},
"Truthful_qa": {
"metric_name": 0.5749863469255445
},
"ARC": {
"metric_name": 0.5102389078498294
},
"HellaSwag": {
"metric_name": 0.52896014451846
},
"GSM8K": {
"metric_name": 0.5770690964312832
},
"GSM1K": {
"metric_name": 0.5770690964312832
},
"Winogrande": {
"metric_name": 0.5774091627172195
}
} |
{
"model_dtype": "torch.float16",
"model_name": "ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1"
} | {
"MMLU": {
"metric_name": 0.5174887229165126
},
"Truthful_qa": {
"metric_name": 0.496780989197894
},
"ARC": {
"metric_name": 0.48976109215017066
},
"HellaSwag": {
"metric_name": 0.5123631026306876
},
"GSM8K": {
"metric_name": 0.5732725892179195
},
"Winogrande": {
"metric_name": 0.5695102685624013
}
} |
{
"model_dtype": "torch.float16",
"model_name": "ytu-ce-cosmos/Turkish-Llama-8b-v0.1"
} | {
"MMLU": {
"metric_name": 0.5086
},
"Truthful_qa": {
"metric_name": 0.4988
},
"ARC": {
"metric_name": 0.4872
},
"HellaSwag": {
"metric_name": 0.5045
},
"GSM8K": {
"metric_name": 0.4844
},
"Winogrande": {
"metric_name": 0.5837
}
} |
{
"model_dtype": "torch.float16",
"model_name": "ytu-ce-cosmos/turkish-gpt2-large-750m-instruct-v0.1"
} | {
"MMLU": {
"metric_name": 0.2639946757376322
},
"Truthful_qa": {
"metric_name": 0.4628814668834825
},
"ARC": {
"metric_name": 0.2738907849829352
},
"HellaSwag": {
"metric_name": 0.3612961499379022
},
"GSM8K": {
"metric_name": 0.0015186028853454822
},
"Winogrande": {
"metric_name": 0.4928909952606635
}
} |
{
"model_dtype": "torch.float16",
"model_name": "ytu-ce-cosmos/turkish-gpt2-large"
} | {
"MMLU": {
"metric_name": 0.2676920801597279
},
"Truthful_qa": {
"metric_name": 0.44090866135348844
},
"ARC": {
"metric_name": 0.2738907849829352
},
"HellaSwag": {
"metric_name": 0.3593767641413571
},
"GSM8K": {
"metric_name": 0.007593014426727411
},
"Winogrande": {
"metric_name": 0.48578199052132703
}
} |
{
"model_dtype": "torch.float16",
"model_name": "zgrgr/Meta-Llama-3.1-8B-Instruct"
} | {
"MMLU": {
"metric_name": 0.4966353619758929
},
"Truthful_qa": {
"metric_name": 0.5030797117568518
},
"ARC": {
"metric_name": 0.43686006825938567
},
"HellaSwag": {
"metric_name": 0.4490233713446991
},
"GSM8K": {
"metric_name": 0.55125284738041
},
"GSM1K": {
"metric_name": 0.55125284738041
},
"Winogrande": {
"metric_name": 0.5647709320695102
}
} |
No dataset card yet
New: Create and edit this dataset card directly on the website!
Contribute a Dataset Card- Downloads last month
- 2