results
dict | groups
dict | group_subtasks
dict | configs
dict | versions
dict | n-shot
dict | higher_is_better
dict | n-samples
dict | config
dict | git_hash
string | date
float64 | pretty_env_info
string | transformers_version
string | lm_eval_version
string | upper_git_hash
null | tokenizer_pad_token
sequence | tokenizer_eos_token
sequence | tokenizer_bos_token
sequence | eot_token_id
int64 | max_length
int64 | task_hashes
dict | model_source
string | model_name
string | model_name_sanitized
string | system_instruction
null | system_instruction_sha
null | fewshot_as_multiturn
bool | chat_template
string | chat_template_sha
string | start_time
float64 | end_time
float64 | total_evaluation_time_seconds
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"ifeval": {
"alias": "ifeval",
"prompt_level_strict_acc,none": 0.75,
"prompt_level_strict_acc_stderr,none": 0.11180339887498948,
"inst_level_strict_acc,none": 0.7916666666666666,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.8125,
"prompt_level_loose_acc_stderr,none": 0.10077822185373188,
"inst_level_loose_acc,none": 0.8333333333333334,
"inst_level_loose_acc_stderr,none": "N/A"
},
"mmlu": {
"acc,none": 0.71875,
"acc_stderr,none": 0.011540537619239823,
"alias": "mmlu"
},
"mmlu_humanities": {
"acc,none": 0.7836538461538461,
"acc_stderr,none": 0.025711042225232572,
"alias": " - humanities"
},
"mmlu_formal_logic": {
"alias": " - formal_logic",
"acc,none": 0.375,
"acc_stderr,none": 0.125
},
"mmlu_high_school_european_history": {
"alias": " - high_school_european_history",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_high_school_us_history": {
"alias": " - high_school_us_history",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_high_school_world_history": {
"alias": " - high_school_world_history",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_international_law": {
"alias": " - international_law",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_jurisprudence": {
"alias": " - jurisprudence",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_logical_fallacies": {
"alias": " - logical_fallacies",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_moral_disputes": {
"alias": " - moral_disputes",
"acc,none": 0.625,
"acc_stderr,none": 0.125
},
"mmlu_moral_scenarios": {
"alias": " - moral_scenarios",
"acc,none": 0.375,
"acc_stderr,none": 0.125
},
"mmlu_philosophy": {
"alias": " - philosophy",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_prehistory": {
"alias": " - prehistory",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_professional_law": {
"alias": " - professional_law",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_world_religions": {
"alias": " - world_religions",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_other": {
"acc,none": 0.7980769230769231,
"acc_stderr,none": 0.026739299505915654,
"alias": " - other"
},
"mmlu_business_ethics": {
"alias": " - business_ethics",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_clinical_knowledge": {
"alias": " - clinical_knowledge",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_college_medicine": {
"alias": " - college_medicine",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_global_facts": {
"alias": " - global_facts",
"acc,none": 0.5625,
"acc_stderr,none": 0.128086884574495
},
"mmlu_human_aging": {
"alias": " - human_aging",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_management": {
"alias": " - management",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_marketing": {
"alias": " - marketing",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_medical_genetics": {
"alias": " - medical_genetics",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_miscellaneous": {
"alias": " - miscellaneous",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_nutrition": {
"alias": " - nutrition",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_professional_accounting": {
"alias": " - professional_accounting",
"acc,none": 0.5625,
"acc_stderr,none": 0.128086884574495
},
"mmlu_professional_medicine": {
"alias": " - professional_medicine",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_virology": {
"alias": " - virology",
"acc,none": 0.5,
"acc_stderr,none": 0.12909944487358055
},
"mmlu_social_sciences": {
"acc,none": 0.8697916666666666,
"acc_stderr,none": 0.024018643896557307,
"alias": " - social sciences"
},
"mmlu_econometrics": {
"alias": " - econometrics",
"acc,none": 0.6875,
"acc_stderr,none": 0.11967838846954226
},
"mmlu_high_school_geography": {
"alias": " - high_school_geography",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_high_school_government_and_politics": {
"alias": " - high_school_government_and_politics",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_high_school_macroeconomics": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_high_school_microeconomics": {
"alias": " - high_school_microeconomics",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_high_school_psychology": {
"alias": " - high_school_psychology",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_human_sexuality": {
"alias": " - human_sexuality",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_professional_psychology": {
"alias": " - professional_psychology",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_public_relations": {
"alias": " - public_relations",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_security_studies": {
"alias": " - security_studies",
"acc,none": 0.8125,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_sociology": {
"alias": " - sociology",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_us_foreign_policy": {
"alias": " - us_foreign_policy",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_stem": {
"acc,none": 0.6217105263157895,
"acc_stderr,none": 0.017724535659877357,
"alias": "stem"
},
"mmlu_abstract_algebra": {
"alias": " - abstract_algebra",
"acc,none": 0.4375,
"acc_stderr,none": 0.128086884574495
},
"mmlu_anatomy": {
"alias": " - anatomy",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_astronomy": {
"alias": " - astronomy",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_college_biology": {
"alias": " - college_biology",
"acc,none": 0.9375,
"acc_stderr,none": 0.0625
},
"mmlu_college_chemistry": {
"alias": " - college_chemistry",
"acc,none": 0.5625,
"acc_stderr,none": 0.128086884574495
},
"mmlu_college_computer_science": {
"alias": " - college_computer_science",
"acc,none": 0.5,
"acc_stderr,none": 0.12909944487358055
},
"mmlu_college_mathematics": {
"alias": " - college_mathematics",
"acc,none": 0.25,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_college_physics": {
"alias": " - college_physics",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_computer_security": {
"alias": " - computer_security",
"acc,none": 0.75,
"acc_stderr,none": 0.11180339887498948
},
"mmlu_conceptual_physics": {
"alias": " - conceptual_physics",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_electrical_engineering": {
"alias": " - electrical_engineering",
"acc,none": 0.5625,
"acc_stderr,none": 0.128086884574495
},
"mmlu_elementary_mathematics": {
"alias": " - elementary_mathematics",
"acc,none": 0.3125,
"acc_stderr,none": 0.11967838846954226
},
"mmlu_high_school_biology": {
"alias": " - high_school_biology",
"acc,none": 1,
"acc_stderr,none": 0
},
"mmlu_high_school_chemistry": {
"alias": " - high_school_chemistry",
"acc,none": 0.6875,
"acc_stderr,none": 0.11967838846954226
},
"mmlu_high_school_computer_science": {
"alias": " - high_school_computer_science",
"acc,none": 0.875,
"acc_stderr,none": 0.08539125638299665
},
"mmlu_high_school_mathematics": {
"alias": " - high_school_mathematics",
"acc,none": 0.1875,
"acc_stderr,none": 0.10077822185373188
},
"mmlu_high_school_physics": {
"alias": " - high_school_physics",
"acc,none": 0.3125,
"acc_stderr,none": 0.11967838846954226
},
"mmlu_high_school_statistics": {
"alias": " - high_school_statistics",
"acc,none": 0.625,
"acc_stderr,none": 0.125
},
"mmlu_machine_learning": {
"alias": " - machine_learning",
"acc,none": 0.5625,
"acc_stderr,none": 0.128086884574495
}
} | {
"mmlu": {
"acc,none": 0.71875,
"acc_stderr,none": 0.011540537619239823,
"alias": "mmlu"
},
"mmlu_humanities": {
"acc,none": 0.7836538461538461,
"acc_stderr,none": 0.025711042225232572,
"alias": " - humanities"
},
"mmlu_other": {
"acc,none": 0.7980769230769231,
"acc_stderr,none": 0.026739299505915654,
"alias": " - other"
},
"mmlu_social_sciences": {
"acc,none": 0.8697916666666666,
"acc_stderr,none": 0.024018643896557307,
"alias": " - social sciences"
},
"mmlu_stem": {
"acc,none": 0.6217105263157895,
"acc_stderr,none": 0.017724535659877357,
"alias": "stem"
}
} | {
"ifeval": [],
"mmlu_humanities": [
"mmlu_philosophy",
"mmlu_moral_scenarios",
"mmlu_international_law",
"mmlu_world_religions",
"mmlu_logical_fallacies",
"mmlu_high_school_european_history",
"mmlu_jurisprudence",
"mmlu_professional_law",
"mmlu_high_school_us_history",
"mmlu_formal_logic",
"mmlu_moral_disputes",
"mmlu_prehistory",
"mmlu_high_school_world_history"
],
"mmlu_social_sciences": [
"mmlu_human_sexuality",
"mmlu_high_school_government_and_politics",
"mmlu_professional_psychology",
"mmlu_sociology",
"mmlu_high_school_psychology",
"mmlu_us_foreign_policy",
"mmlu_security_studies",
"mmlu_high_school_microeconomics",
"mmlu_high_school_macroeconomics",
"mmlu_high_school_geography",
"mmlu_public_relations",
"mmlu_econometrics"
],
"mmlu_other": [
"mmlu_global_facts",
"mmlu_college_medicine",
"mmlu_virology",
"mmlu_marketing",
"mmlu_miscellaneous",
"mmlu_clinical_knowledge",
"mmlu_professional_accounting",
"mmlu_nutrition",
"mmlu_human_aging",
"mmlu_business_ethics",
"mmlu_professional_medicine",
"mmlu_medical_genetics",
"mmlu_management"
],
"mmlu": [
"mmlu_stem",
"mmlu_other",
"mmlu_social_sciences",
"mmlu_humanities"
],
"mmlu_stem": [
"mmlu_high_school_chemistry",
"mmlu_college_computer_science",
"mmlu_high_school_computer_science",
"mmlu_high_school_physics",
"mmlu_high_school_biology",
"mmlu_college_physics",
"mmlu_conceptual_physics",
"mmlu_electrical_engineering",
"mmlu_elementary_mathematics",
"mmlu_college_mathematics",
"mmlu_machine_learning",
"mmlu_college_biology",
"mmlu_anatomy",
"mmlu_high_school_statistics",
"mmlu_astronomy",
"mmlu_college_chemistry",
"mmlu_high_school_mathematics",
"mmlu_abstract_algebra",
"mmlu_computer_security"
]
} | {
"ifeval": {
"task": "ifeval",
"dataset_path": "google/IFEval",
"test_split": "train",
"doc_to_text": "prompt",
"doc_to_target": 0,
"unsafe_code": false,
"process_results": "def process_results(doc, results):\n inp = InputExample(\n key=doc[\"key\"],\n instruction_id_list=doc[\"instruction_id_list\"],\n prompt=doc[\"prompt\"],\n kwargs=doc[\"kwargs\"],\n )\n response = results[0]\n\n out_strict = test_instruction_following_strict(inp, response)\n out_loose = test_instruction_following_loose(inp, response)\n\n return {\n \"prompt_level_strict_acc\": out_strict.follow_all_instructions,\n \"inst_level_strict_acc\": out_strict.follow_instruction_list,\n \"prompt_level_loose_acc\": out_loose.follow_all_instructions,\n \"inst_level_loose_acc\": out_loose.follow_instruction_list,\n }\n",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "prompt_level_strict_acc",
"aggregation": "mean",
"higher_is_better": true
},
{
"metric": "inst_level_strict_acc",
"aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n",
"higher_is_better": true
},
{
"metric": "prompt_level_loose_acc",
"aggregation": "mean",
"higher_is_better": true
},
{
"metric": "inst_level_loose_acc",
"aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n",
"higher_is_better": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [],
"do_sample": false,
"temperature": 0,
"max_gen_toks": 1280
},
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 4,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_abstract_algebra": {
"task": "mmlu_abstract_algebra",
"task_alias": "abstract_algebra",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "abstract_algebra",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_anatomy": {
"task": "mmlu_anatomy",
"task_alias": "anatomy",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "anatomy",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_astronomy": {
"task": "mmlu_astronomy",
"task_alias": "astronomy",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "astronomy",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about astronomy.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_business_ethics": {
"task": "mmlu_business_ethics",
"task_alias": "business_ethics",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "business_ethics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about business ethics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_clinical_knowledge": {
"task": "mmlu_clinical_knowledge",
"task_alias": "clinical_knowledge",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "clinical_knowledge",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_biology": {
"task": "mmlu_college_biology",
"task_alias": "college_biology",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_biology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college biology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_chemistry": {
"task": "mmlu_college_chemistry",
"task_alias": "college_chemistry",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_chemistry",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college chemistry.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_computer_science": {
"task": "mmlu_college_computer_science",
"task_alias": "college_computer_science",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_computer_science",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college computer science.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_mathematics": {
"task": "mmlu_college_mathematics",
"task_alias": "college_mathematics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_mathematics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college mathematics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_medicine": {
"task": "mmlu_college_medicine",
"task_alias": "college_medicine",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_medicine",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college medicine.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_college_physics": {
"task": "mmlu_college_physics",
"task_alias": "college_physics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "college_physics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about college physics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_computer_security": {
"task": "mmlu_computer_security",
"task_alias": "computer_security",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "computer_security",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about computer security.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_conceptual_physics": {
"task": "mmlu_conceptual_physics",
"task_alias": "conceptual_physics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "conceptual_physics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_econometrics": {
"task": "mmlu_econometrics",
"task_alias": "econometrics",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "econometrics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about econometrics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_electrical_engineering": {
"task": "mmlu_electrical_engineering",
"task_alias": "electrical_engineering",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "electrical_engineering",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_elementary_mathematics": {
"task": "mmlu_elementary_mathematics",
"task_alias": "elementary_mathematics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "elementary_mathematics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_formal_logic": {
"task": "mmlu_formal_logic",
"task_alias": "formal_logic",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "formal_logic",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about formal logic.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_global_facts": {
"task": "mmlu_global_facts",
"task_alias": "global_facts",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "global_facts",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about global facts.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_biology": {
"task": "mmlu_high_school_biology",
"task_alias": "high_school_biology",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_biology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school biology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_chemistry": {
"task": "mmlu_high_school_chemistry",
"task_alias": "high_school_chemistry",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_chemistry",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_computer_science": {
"task": "mmlu_high_school_computer_science",
"task_alias": "high_school_computer_science",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_computer_science",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school computer science.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_european_history": {
"task": "mmlu_high_school_european_history",
"task_alias": "high_school_european_history",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_european_history",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school european history.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_geography": {
"task": "mmlu_high_school_geography",
"task_alias": "high_school_geography",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_geography",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school geography.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_government_and_politics": {
"task": "mmlu_high_school_government_and_politics",
"task_alias": "high_school_government_and_politics",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_government_and_politics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_macroeconomics": {
"task": "mmlu_high_school_macroeconomics",
"task_alias": "high_school_macroeconomics",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_macroeconomics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_mathematics": {
"task": "mmlu_high_school_mathematics",
"task_alias": "high_school_mathematics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_mathematics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_microeconomics": {
"task": "mmlu_high_school_microeconomics",
"task_alias": "high_school_microeconomics",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_microeconomics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_physics": {
"task": "mmlu_high_school_physics",
"task_alias": "high_school_physics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_physics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school physics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_psychology": {
"task": "mmlu_high_school_psychology",
"task_alias": "high_school_psychology",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_psychology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school psychology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_statistics": {
"task": "mmlu_high_school_statistics",
"task_alias": "high_school_statistics",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_statistics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school statistics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_us_history": {
"task": "mmlu_high_school_us_history",
"task_alias": "high_school_us_history",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_us_history",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school us history.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_high_school_world_history": {
"task": "mmlu_high_school_world_history",
"task_alias": "high_school_world_history",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_world_history",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about high school world history.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_human_aging": {
"task": "mmlu_human_aging",
"task_alias": "human_aging",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "human_aging",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about human aging.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_human_sexuality": {
"task": "mmlu_human_sexuality",
"task_alias": "human_sexuality",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "human_sexuality",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about human sexuality.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_international_law": {
"task": "mmlu_international_law",
"task_alias": "international_law",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "international_law",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about international law.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_jurisprudence": {
"task": "mmlu_jurisprudence",
"task_alias": "jurisprudence",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "jurisprudence",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_logical_fallacies": {
"task": "mmlu_logical_fallacies",
"task_alias": "logical_fallacies",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "logical_fallacies",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_machine_learning": {
"task": "mmlu_machine_learning",
"task_alias": "machine_learning",
"tag": "mmlu_stem_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "machine_learning",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about machine learning.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_management": {
"task": "mmlu_management",
"task_alias": "management",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "management",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about management.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_marketing": {
"task": "mmlu_marketing",
"task_alias": "marketing",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "marketing",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about marketing.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_medical_genetics": {
"task": "mmlu_medical_genetics",
"task_alias": "medical_genetics",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "medical_genetics",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about medical genetics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_miscellaneous": {
"task": "mmlu_miscellaneous",
"task_alias": "miscellaneous",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "miscellaneous",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_moral_disputes": {
"task": "mmlu_moral_disputes",
"task_alias": "moral_disputes",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "moral_disputes",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about moral disputes.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_moral_scenarios": {
"task": "mmlu_moral_scenarios",
"task_alias": "moral_scenarios",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "moral_scenarios",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_nutrition": {
"task": "mmlu_nutrition",
"task_alias": "nutrition",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "nutrition",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about nutrition.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_philosophy": {
"task": "mmlu_philosophy",
"task_alias": "philosophy",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "philosophy",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about philosophy.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_prehistory": {
"task": "mmlu_prehistory",
"task_alias": "prehistory",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "prehistory",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about prehistory.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_professional_accounting": {
"task": "mmlu_professional_accounting",
"task_alias": "professional_accounting",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "professional_accounting",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about professional accounting.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_professional_law": {
"task": "mmlu_professional_law",
"task_alias": "professional_law",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "professional_law",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about professional law.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_professional_medicine": {
"task": "mmlu_professional_medicine",
"task_alias": "professional_medicine",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "professional_medicine",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about professional medicine.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_professional_psychology": {
"task": "mmlu_professional_psychology",
"task_alias": "professional_psychology",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "professional_psychology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about professional psychology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_public_relations": {
"task": "mmlu_public_relations",
"task_alias": "public_relations",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "public_relations",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about public relations.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_security_studies": {
"task": "mmlu_security_studies",
"task_alias": "security_studies",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "security_studies",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about security studies.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_sociology": {
"task": "mmlu_sociology",
"task_alias": "sociology",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "sociology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about sociology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_us_foreign_policy": {
"task": "mmlu_us_foreign_policy",
"task_alias": "us_foreign_policy",
"tag": "mmlu_social_sciences_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "us_foreign_policy",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_virology": {
"task": "mmlu_virology",
"task_alias": "virology",
"tag": "mmlu_other_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "virology",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about virology.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
},
"mmlu_world_religions": {
"task": "mmlu_world_religions",
"task_alias": "world_religions",
"tag": "mmlu_humanities_tasks",
"dataset_path": "cais/mmlu",
"dataset_name": "world_religions",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "answer",
"unsafe_code": false,
"doc_to_choice": [
"A",
"B",
"C",
"D"
],
"description": "The following are multiple choice questions (with answers) about world religions.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 1,
"pretrained": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"tokenizer": "/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b",
"max_gen_toks": 4096,
"max_model_len": 8192,
"enable_prefix_caching": true,
"enable_chunked_prefill": true,
"tensor_parallel_size": 8
}
}
} | {
"ifeval": 4,
"mmlu": 2,
"mmlu_abstract_algebra": 1,
"mmlu_anatomy": 1,
"mmlu_astronomy": 1,
"mmlu_business_ethics": 1,
"mmlu_clinical_knowledge": 1,
"mmlu_college_biology": 1,
"mmlu_college_chemistry": 1,
"mmlu_college_computer_science": 1,
"mmlu_college_mathematics": 1,
"mmlu_college_medicine": 1,
"mmlu_college_physics": 1,
"mmlu_computer_security": 1,
"mmlu_conceptual_physics": 1,
"mmlu_econometrics": 1,
"mmlu_electrical_engineering": 1,
"mmlu_elementary_mathematics": 1,
"mmlu_formal_logic": 1,
"mmlu_global_facts": 1,
"mmlu_high_school_biology": 1,
"mmlu_high_school_chemistry": 1,
"mmlu_high_school_computer_science": 1,
"mmlu_high_school_european_history": 1,
"mmlu_high_school_geography": 1,
"mmlu_high_school_government_and_politics": 1,
"mmlu_high_school_macroeconomics": 1,
"mmlu_high_school_mathematics": 1,
"mmlu_high_school_microeconomics": 1,
"mmlu_high_school_physics": 1,
"mmlu_high_school_psychology": 1,
"mmlu_high_school_statistics": 1,
"mmlu_high_school_us_history": 1,
"mmlu_high_school_world_history": 1,
"mmlu_human_aging": 1,
"mmlu_human_sexuality": 1,
"mmlu_humanities": 2,
"mmlu_international_law": 1,
"mmlu_jurisprudence": 1,
"mmlu_logical_fallacies": 1,
"mmlu_machine_learning": 1,
"mmlu_management": 1,
"mmlu_marketing": 1,
"mmlu_medical_genetics": 1,
"mmlu_miscellaneous": 1,
"mmlu_moral_disputes": 1,
"mmlu_moral_scenarios": 1,
"mmlu_nutrition": 1,
"mmlu_other": 2,
"mmlu_philosophy": 1,
"mmlu_prehistory": 1,
"mmlu_professional_accounting": 1,
"mmlu_professional_law": 1,
"mmlu_professional_medicine": 1,
"mmlu_professional_psychology": 1,
"mmlu_public_relations": 1,
"mmlu_security_studies": 1,
"mmlu_social_sciences": 2,
"mmlu_sociology": 1,
"mmlu_stem": 2,
"mmlu_us_foreign_policy": 1,
"mmlu_virology": 1,
"mmlu_world_religions": 1
} | {
"ifeval": 0,
"mmlu_abstract_algebra": 0,
"mmlu_anatomy": 0,
"mmlu_astronomy": 0,
"mmlu_business_ethics": 0,
"mmlu_clinical_knowledge": 0,
"mmlu_college_biology": 0,
"mmlu_college_chemistry": 0,
"mmlu_college_computer_science": 0,
"mmlu_college_mathematics": 0,
"mmlu_college_medicine": 0,
"mmlu_college_physics": 0,
"mmlu_computer_security": 0,
"mmlu_conceptual_physics": 0,
"mmlu_econometrics": 0,
"mmlu_electrical_engineering": 0,
"mmlu_elementary_mathematics": 0,
"mmlu_formal_logic": 0,
"mmlu_global_facts": 0,
"mmlu_high_school_biology": 0,
"mmlu_high_school_chemistry": 0,
"mmlu_high_school_computer_science": 0,
"mmlu_high_school_european_history": 0,
"mmlu_high_school_geography": 0,
"mmlu_high_school_government_and_politics": 0,
"mmlu_high_school_macroeconomics": 0,
"mmlu_high_school_mathematics": 0,
"mmlu_high_school_microeconomics": 0,
"mmlu_high_school_physics": 0,
"mmlu_high_school_psychology": 0,
"mmlu_high_school_statistics": 0,
"mmlu_high_school_us_history": 0,
"mmlu_high_school_world_history": 0,
"mmlu_human_aging": 0,
"mmlu_human_sexuality": 0,
"mmlu_international_law": 0,
"mmlu_jurisprudence": 0,
"mmlu_logical_fallacies": 0,
"mmlu_machine_learning": 0,
"mmlu_management": 0,
"mmlu_marketing": 0,
"mmlu_medical_genetics": 0,
"mmlu_miscellaneous": 0,
"mmlu_moral_disputes": 0,
"mmlu_moral_scenarios": 0,
"mmlu_nutrition": 0,
"mmlu_philosophy": 0,
"mmlu_prehistory": 0,
"mmlu_professional_accounting": 0,
"mmlu_professional_law": 0,
"mmlu_professional_medicine": 0,
"mmlu_professional_psychology": 0,
"mmlu_public_relations": 0,
"mmlu_security_studies": 0,
"mmlu_sociology": 0,
"mmlu_us_foreign_policy": 0,
"mmlu_virology": 0,
"mmlu_world_religions": 0
} | {
"ifeval": {
"prompt_level_strict_acc": true,
"inst_level_strict_acc": true,
"prompt_level_loose_acc": true,
"inst_level_loose_acc": true
},
"mmlu": {
"acc": true
},
"mmlu_abstract_algebra": {
"acc": true
},
"mmlu_anatomy": {
"acc": true
},
"mmlu_astronomy": {
"acc": true
},
"mmlu_business_ethics": {
"acc": true
},
"mmlu_clinical_knowledge": {
"acc": true
},
"mmlu_college_biology": {
"acc": true
},
"mmlu_college_chemistry": {
"acc": true
},
"mmlu_college_computer_science": {
"acc": true
},
"mmlu_college_mathematics": {
"acc": true
},
"mmlu_college_medicine": {
"acc": true
},
"mmlu_college_physics": {
"acc": true
},
"mmlu_computer_security": {
"acc": true
},
"mmlu_conceptual_physics": {
"acc": true
},
"mmlu_econometrics": {
"acc": true
},
"mmlu_electrical_engineering": {
"acc": true
},
"mmlu_elementary_mathematics": {
"acc": true
},
"mmlu_formal_logic": {
"acc": true
},
"mmlu_global_facts": {
"acc": true
},
"mmlu_high_school_biology": {
"acc": true
},
"mmlu_high_school_chemistry": {
"acc": true
},
"mmlu_high_school_computer_science": {
"acc": true
},
"mmlu_high_school_european_history": {
"acc": true
},
"mmlu_high_school_geography": {
"acc": true
},
"mmlu_high_school_government_and_politics": {
"acc": true
},
"mmlu_high_school_macroeconomics": {
"acc": true
},
"mmlu_high_school_mathematics": {
"acc": true
},
"mmlu_high_school_microeconomics": {
"acc": true
},
"mmlu_high_school_physics": {
"acc": true
},
"mmlu_high_school_psychology": {
"acc": true
},
"mmlu_high_school_statistics": {
"acc": true
},
"mmlu_high_school_us_history": {
"acc": true
},
"mmlu_high_school_world_history": {
"acc": true
},
"mmlu_human_aging": {
"acc": true
},
"mmlu_human_sexuality": {
"acc": true
},
"mmlu_humanities": {
"acc": true
},
"mmlu_international_law": {
"acc": true
},
"mmlu_jurisprudence": {
"acc": true
},
"mmlu_logical_fallacies": {
"acc": true
},
"mmlu_machine_learning": {
"acc": true
},
"mmlu_management": {
"acc": true
},
"mmlu_marketing": {
"acc": true
},
"mmlu_medical_genetics": {
"acc": true
},
"mmlu_miscellaneous": {
"acc": true
},
"mmlu_moral_disputes": {
"acc": true
},
"mmlu_moral_scenarios": {
"acc": true
},
"mmlu_nutrition": {
"acc": true
},
"mmlu_other": {
"acc": true
},
"mmlu_philosophy": {
"acc": true
},
"mmlu_prehistory": {
"acc": true
},
"mmlu_professional_accounting": {
"acc": true
},
"mmlu_professional_law": {
"acc": true
},
"mmlu_professional_medicine": {
"acc": true
},
"mmlu_professional_psychology": {
"acc": true
},
"mmlu_public_relations": {
"acc": true
},
"mmlu_security_studies": {
"acc": true
},
"mmlu_social_sciences": {
"acc": true
},
"mmlu_sociology": {
"acc": true
},
"mmlu_stem": {
"acc": true
},
"mmlu_us_foreign_policy": {
"acc": true
},
"mmlu_virology": {
"acc": true
},
"mmlu_world_religions": {
"acc": true
}
} | {
"mmlu_high_school_chemistry": {
"original": 203,
"effective": 16
},
"mmlu_college_computer_science": {
"original": 100,
"effective": 16
},
"mmlu_high_school_computer_science": {
"original": 100,
"effective": 16
},
"mmlu_high_school_physics": {
"original": 151,
"effective": 16
},
"mmlu_high_school_biology": {
"original": 310,
"effective": 16
},
"mmlu_college_physics": {
"original": 102,
"effective": 16
},
"mmlu_conceptual_physics": {
"original": 235,
"effective": 16
},
"mmlu_electrical_engineering": {
"original": 145,
"effective": 16
},
"mmlu_elementary_mathematics": {
"original": 378,
"effective": 16
},
"mmlu_college_mathematics": {
"original": 100,
"effective": 16
},
"mmlu_machine_learning": {
"original": 112,
"effective": 16
},
"mmlu_college_biology": {
"original": 144,
"effective": 16
},
"mmlu_anatomy": {
"original": 135,
"effective": 16
},
"mmlu_high_school_statistics": {
"original": 216,
"effective": 16
},
"mmlu_astronomy": {
"original": 152,
"effective": 16
},
"mmlu_college_chemistry": {
"original": 100,
"effective": 16
},
"mmlu_high_school_mathematics": {
"original": 270,
"effective": 16
},
"mmlu_abstract_algebra": {
"original": 100,
"effective": 16
},
"mmlu_computer_security": {
"original": 100,
"effective": 16
},
"mmlu_global_facts": {
"original": 100,
"effective": 16
},
"mmlu_college_medicine": {
"original": 173,
"effective": 16
},
"mmlu_virology": {
"original": 166,
"effective": 16
},
"mmlu_marketing": {
"original": 234,
"effective": 16
},
"mmlu_miscellaneous": {
"original": 783,
"effective": 16
},
"mmlu_clinical_knowledge": {
"original": 265,
"effective": 16
},
"mmlu_professional_accounting": {
"original": 282,
"effective": 16
},
"mmlu_nutrition": {
"original": 306,
"effective": 16
},
"mmlu_human_aging": {
"original": 223,
"effective": 16
},
"mmlu_business_ethics": {
"original": 100,
"effective": 16
},
"mmlu_professional_medicine": {
"original": 272,
"effective": 16
},
"mmlu_medical_genetics": {
"original": 100,
"effective": 16
},
"mmlu_management": {
"original": 103,
"effective": 16
},
"mmlu_human_sexuality": {
"original": 131,
"effective": 16
},
"mmlu_high_school_government_and_politics": {
"original": 193,
"effective": 16
},
"mmlu_professional_psychology": {
"original": 612,
"effective": 16
},
"mmlu_sociology": {
"original": 201,
"effective": 16
},
"mmlu_high_school_psychology": {
"original": 545,
"effective": 16
},
"mmlu_us_foreign_policy": {
"original": 100,
"effective": 16
},
"mmlu_security_studies": {
"original": 245,
"effective": 16
},
"mmlu_high_school_microeconomics": {
"original": 238,
"effective": 16
},
"mmlu_high_school_macroeconomics": {
"original": 390,
"effective": 16
},
"mmlu_high_school_geography": {
"original": 198,
"effective": 16
},
"mmlu_public_relations": {
"original": 110,
"effective": 16
},
"mmlu_econometrics": {
"original": 114,
"effective": 16
},
"mmlu_philosophy": {
"original": 311,
"effective": 16
},
"mmlu_moral_scenarios": {
"original": 895,
"effective": 16
},
"mmlu_international_law": {
"original": 121,
"effective": 16
},
"mmlu_world_religions": {
"original": 171,
"effective": 16
},
"mmlu_logical_fallacies": {
"original": 163,
"effective": 16
},
"mmlu_high_school_european_history": {
"original": 165,
"effective": 16
},
"mmlu_jurisprudence": {
"original": 108,
"effective": 16
},
"mmlu_professional_law": {
"original": 1534,
"effective": 16
},
"mmlu_high_school_us_history": {
"original": 204,
"effective": 16
},
"mmlu_formal_logic": {
"original": 126,
"effective": 16
},
"mmlu_moral_disputes": {
"original": 346,
"effective": 16
},
"mmlu_prehistory": {
"original": 324,
"effective": 16
},
"mmlu_high_school_world_history": {
"original": 237,
"effective": 16
},
"ifeval": {
"original": 541,
"effective": 16
}
} | {
"model": "vllm",
"model_args": "pretrained=/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b,tokenizer=/home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b,max_gen_toks=4096,max_model_len=8192,enable_prefix_caching=True,enable_chunked_prefill=True,tensor_parallel_size=8",
"batch_size": "auto",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": 16,
"bootstrap_iters": 100000,
"gen_kwargs": null,
"random_seed": 0,
"numpy_seed": 1234,
"torch_seed": 1234,
"fewshot_seed": 1234
} | 3f792954 | 1,749,007,490.84404 | PyTorch version: 2.7.0+cu126
Is debug build: False
CUDA used to build PyTorch: 12.6
ROCM used to build PyTorch: N/A
OS: Ubuntu 24.04.2 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.39
Python version: 3.12.3 (main, Feb 4 2025, 14:48:35) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.8.0-60-generic-x86_64-with-glibc2.39
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
GPU 2: NVIDIA GeForce RTX 3090
GPU 3: NVIDIA GeForce RTX 3090
GPU 4: NVIDIA GeForce RTX 3090
GPU 5: NVIDIA GeForce RTX 3090
GPU 6: NVIDIA GeForce RTX 3090
GPU 7: NVIDIA GeForce RTX 3090
Nvidia driver version: 575.51.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7702 64-Core Processor
CPU family: 23
Model: 49
Thread(s) per core: 1
Core(s) per socket: 64
Socket(s): 1
Stepping: 0
Frequency boost: enabled
CPU(s) scaling MHz: 80%
CPU max MHz: 2183.5930
CPU min MHz: 1500.0000
BogoMIPS: 3999.61
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sev sev_es
Virtualization: AMD-V
L1d cache: 2 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 32 MiB (64 instances)
L3 cache: 256 MiB (16 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-63
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT disabled
Vulnerability Spec rstack overflow: Mitigation; SMT disabled
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.6.4.1
[pip3] nvidia-cuda-cupti-cu12==12.6.80
[pip3] nvidia-cuda-nvrtc-cu12==12.6.77
[pip3] nvidia-cuda-runtime-cu12==12.6.77
[pip3] nvidia-cudnn-cu12==9.5.1.17
[pip3] nvidia-cufft-cu12==11.3.0.4
[pip3] nvidia-curand-cu12==10.3.7.77
[pip3] nvidia-cusolver-cu12==11.7.1.2
[pip3] nvidia-cusparse-cu12==12.5.4.2
[pip3] nvidia-cusparselt-cu12==0.6.3
[pip3] nvidia-nccl-cu12==2.26.2
[pip3] nvidia-nvjitlink-cu12==12.6.85
[pip3] nvidia-nvtx-cu12==12.6.77
[pip3] torch==2.7.0
[pip3] torchaudio==2.7.0
[pip3] torchvision==0.22.0
[pip3] triton==3.3.0
[conda] Could not collect | 4.52.4 | 0.4.8 | null | [
"<pad>",
"11"
] | [
"<|im_end|>",
"2"
] | [
"<s>",
"1"
] | 2 | 8,192 | {
"mmlu_high_school_chemistry": "04b8485697f03f4b11ff38151e36940bd9dbf5ca082ac4064e997761b889578d",
"mmlu_college_computer_science": "839d136fd6235ec4cb39c625a5609e2b2105a0f8f2cb27c4e3a69c4a4aacf4e0",
"mmlu_high_school_computer_science": "c531a331b60206696b995c66971a0e33d169c4179b3d7311ccd860398d60494c",
"mmlu_high_school_physics": "db7860431cd6131f26be549576d7c502a47c14c9e1a606e75e39f39291a86837",
"mmlu_high_school_biology": "bfbb1b6bb0a518b372876b91b3fdad027c640ad3ecbbb40f75992e975830bee4",
"mmlu_college_physics": "9733cbd505a479d0f0b7c6b6881061ec1caaeb19091f44a98bfe29f6640b7359",
"mmlu_conceptual_physics": "a7fc4042f4356c68edc58c93159ad9c7d8905e06e5af9c5d975933e14988d6f6",
"mmlu_electrical_engineering": "1dfacd3fb011e4b5db00d40be7344f478b40fc533cbb355733c0cb22fc944e52",
"mmlu_elementary_mathematics": "d80e36718c2d8880c7aa567e1a487ea3f9c901908c1b9541b90b0d24af5f0797",
"mmlu_college_mathematics": "65626a40ef8b820decd2b3d95ce57104fc9e9992850ba217a140950f340c7c9b",
"mmlu_machine_learning": "400b2df05cbe0558af48b3bb89b8ccacf394977845e3f78e71082adfca996867",
"mmlu_college_biology": "bca92f70e5181bb068ff602b4e4fa8edff58d3fb6bb8738aa8bfd21f7c5d8042",
"mmlu_anatomy": "21ff43a9cfcf09472865aee208a78046e95a170939ccee9e839a216688a1e6e5",
"mmlu_high_school_statistics": "44ac08961dc3b47e233cb135090518b985eb7f7874fb0414c57d4959321760ed",
"mmlu_astronomy": "33202f5de4adc7a2fcc5d0aa43a189ec569822e734e7f0616e40990d8ec5e99e",
"mmlu_college_chemistry": "b1e29d6d52c92887fd850e6acf70bcb8288087c3b02acc435da7b3456d16f13c",
"mmlu_high_school_mathematics": "5c2886769a6a9d87db472ae2967f5c3b220f9dcd54666e70cfcbc4a07c6103b3",
"mmlu_abstract_algebra": "306dad68e247792c7b6d8c938938ce158d9ca1c9b1d20e31cdcf3ca93f623459",
"mmlu_computer_security": "2984c9720f48d13ff1c9e1979903f75ec48d4d931ad9a34e292d7dfa554b10ff",
"mmlu_global_facts": "a00d829a1975a3963a76be607d75efd4e1b7e2dbf50d53b76785a3cff3981d8e",
"mmlu_college_medicine": "2c2ee7aeb456f696d5b2357c9862fbc085dc247c6e2df5cfb43c42187f317029",
"mmlu_virology": "96ee91c7545c91976f28b4855850b94a5ab8884f1e7a5e885ea8e5df002dc6ae",
"mmlu_marketing": "49b3d44ff3a5f772e7167c5fc1bebadc99e26fac3c3b4294a7c49364bd1d3cfa",
"mmlu_miscellaneous": "ed50282373369554165afd01968c91bddc2cf8f8080c293311c8b17669659893",
"mmlu_clinical_knowledge": "066d8513877a9e0d70f8c770120dff4de2e415177f8c6e17c66aac808dc3b1d2",
"mmlu_professional_accounting": "47f05bdb034dadc2620cf53a54a0cd5b0fa4d1820498c6837583423d6eb526b5",
"mmlu_nutrition": "e0beda3b6e049d673cc0bb64bb363a90c80b501422e16e24f90bd60c67b1110e",
"mmlu_human_aging": "9d9dec33a218846fa7d4fd665d8c8aca05c4351c1f99495533a44db671bc970d",
"mmlu_business_ethics": "2b3dbab994f96f5d559256023d90ab11a6ba29af256b5c89ee9f701b355497e4",
"mmlu_professional_medicine": "08b6cd402cd4b86216cafa18c3d9b9fd9f012be70d62db835ca0371fde8195f4",
"mmlu_medical_genetics": "79400878f3a16f33a1ce466b5f2c70578bf065430fcefe20f5fa7edb9fbaf2eb",
"mmlu_management": "164bce28224f6161b676a96cdd46a0fce09fc422a56a00c5d71f6cdec8aa6b50",
"mmlu_human_sexuality": "bf3ca8c82250a2b329dce29a4f69a44c8976c5fbe2d2a28e3c618f05ec0ef1b1",
"mmlu_high_school_government_and_politics": "3a1145c3a0649a1221db1cc3836fff6e5742280b5fabe1309ac7e0386abb45ab",
"mmlu_professional_psychology": "ed47f7209b780f4497c9f1f6db90e14ab17bded96f78ad39e98925de8d02f5b5",
"mmlu_sociology": "83e3f94cf89b744b4a79a48ab860d4c0f9638ff1b6cd8222d4cf586b3a9428d5",
"mmlu_high_school_psychology": "8c117997d78eaeaa5b158d0cda8286fa3c5d47f9f9f6adb4a1115782847f1099",
"mmlu_us_foreign_policy": "a7e6ca41efb45d1a5ecb7501bd52b5b0bcd512eec5b841d8a731c8e853a6e17e",
"mmlu_security_studies": "f2e45eb4a1cd1e52bae35705401857a943d06ac08e527805b01345ccb2ef130e",
"mmlu_high_school_microeconomics": "a3fb188b99424ab9f3b80e241a8bfc0b02d22495c250eece1ad06f5ac15a859f",
"mmlu_high_school_macroeconomics": "87080803352e610038354ae18c07e07d70e643dc81b5e659774cf38e0f42bce8",
"mmlu_high_school_geography": "55b1af364b60255c1b134a613cba08ab2848790c9a4852b1a95158c601c1429c",
"mmlu_public_relations": "41d8427538878b3bfb9965c70799bbb543d012531ddd6fccfdb7c53a664d68ec",
"mmlu_econometrics": "ed1aa19429e751c05873116a91bc9eb8b98741255f07daee817abc3603ed62d6",
"mmlu_philosophy": "d5294760472bb25a2b99f1d08d8f05e25c7525a0dbc9b70f9ad7f014e1b61496",
"mmlu_moral_scenarios": "f95fa942f7bfedb10f82610183883a66335e36a8d37b1c4daa181386e801b762",
"mmlu_international_law": "3acac0c014f3291a3a2311d06b48f39768cf2e66e2c8d48fc13b82e350e8949c",
"mmlu_world_religions": "4fba9c400cf816bd8c6ad676ac5b5fd759e69c95effb5f4bd97cd1aef5cddfed",
"mmlu_logical_fallacies": "535b8a3413c603a46202d7b8a11216feeec3ae23404b662ca16958d072d1d9ff",
"mmlu_high_school_european_history": "5b543b4386c9e53ec77950345ef22fb5796156a35af077f6d1b96151e014d118",
"mmlu_jurisprudence": "185ebca8d7574ba10be8cf85378322d60a6a6c2ab8ac1a87a2391ec48dcc15f3",
"mmlu_professional_law": "a14fbc179eb8ebf0e987525955c3420bd27c0efd60faff85dadb8b7f8a89f568",
"mmlu_high_school_us_history": "61ce55ee84021252cf3fedf6dc70dd1af047bcade3560727fe3842f20c05ab4c",
"mmlu_formal_logic": "978cea32140627c9ab7867190ea2ef18211210b179116fa1899f52ffc488a0e6",
"mmlu_moral_disputes": "9c8b23b0b46cd38765b597cc8468e62919c241af7120cf2b21891ad79a764110",
"mmlu_prehistory": "d9ce273d481a02ba1a66144cb0d974491f9098500c4326e5e4f4d28890258dff",
"mmlu_high_school_world_history": "37ac314ee41259b6354e1795086dc73727c6b0c70b1c028ff3f8e138f5f70442",
"ifeval": "3b702ca57b63cb129c78cdd813bdff55b9c801e8b3e5e746aa875c1ebe821ef8"
} | vllm | /home/quixi/Mango/models/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b | __home__quixi__Mango__models__PocketDoc_Dans-PersonalityEngine-V1.2.0-24b | null | null | true | {{ bos_token }}{%- set loop_messages = messages %}
{%- for message in loop_messages %}
{%- set content = '<|im_start|>' + message['role'] + '\n'+ message['content'] | trim %}
{%- if loop.index0 == 0 %}
{%- set content = content %}
{%- endif %}
{%- if not (loop.last and message['role'] == 'assistant') %}
{%- set content = content + '<|im_end|>\n' %}
{%- endif %}
{{- content }}
{%- endfor %}
{%- if messages[-1]['role'] != 'assistant' %}
{{- '<|im_start|>assistant\n' }}
{%- endif %} | fb4aa2c12fdd53c3a2bb6a85ecdfc0082988bc68212e14f3a7c2f8055b0d84ac | 87,247.277149 | 87,894.242174 | 646.965024264995 |
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