{
    "config_general": {
        "lighteval_sha": "no",
        "num_few_shot_default": null,
        "num_fewshot_seeds": null,
        "override_batch_size": null,
        "max_samples": null,
        "job_id": -1,
        "start_time": null,
        "end_time": "2024-05-13-21-54-31",
        "total_evaluation_time_secondes": "",
        "model_name": "PrunaAI/Phi-3-mini-128k-instruct-GGUF-Imatrix-smashed",
        "model_sha": "",
        "model_dtype": "4bit",
        "model_size": 2.181729792,
        "model_params": 3.821079552,
        "quant_type": "llama.cpp",
        "precision": "4bit"
    },
    "results": {
        "harness|hellaswag|0": {
            "acc,none": 0.5686118303126867,
            "acc_stderr,none": 0.004942578520987334,
            "acc_norm,none": 0.752141007767377,
            "acc_norm_stderr,none": 0.004308870978210358,
            "alias": "hellaswag"
        },
        "harness|mmlu|0": {
            "acc,none": 0.5713573565019228,
            "acc_stderr,none": 0.003994070978563716,
            "alias": "mmlu"
        },
        "harness|mmlu_humanities|0": {
            "alias": " - humanities",
            "acc,none": 0.5270988310308182,
            "acc_stderr,none": 0.007098258374624685
        },
        "harness|mmlu_formal_logic|0": {
            "alias": "  - formal_logic",
            "acc,none": 0.47619047619047616,
            "acc_stderr,none": 0.04467062628403273
        },
        "harness|mmlu_high_school_european_history|0": {
            "alias": "  - high_school_european_history",
            "acc,none": 0.46060606060606063,
            "acc_stderr,none": 0.03892207016552013
        },
        "harness|mmlu_high_school_us_history|0": {
            "alias": "  - high_school_us_history",
            "acc,none": 0.6029411764705882,
            "acc_stderr,none": 0.03434131164719128
        },
        "harness|mmlu_high_school_world_history|0": {
            "alias": "  - high_school_world_history",
            "acc,none": 0.5274261603375527,
            "acc_stderr,none": 0.03249822718301303
        },
        "harness|mmlu_international_law|0": {
            "alias": "  - international_law",
            "acc,none": 0.7851239669421488,
            "acc_stderr,none": 0.03749492448709699
        },
        "harness|mmlu_jurisprudence|0": {
            "alias": "  - jurisprudence",
            "acc,none": 0.6018518518518519,
            "acc_stderr,none": 0.04732332615978814
        },
        "harness|mmlu_logical_fallacies|0": {
            "alias": "  - logical_fallacies",
            "acc,none": 0.7177914110429447,
            "acc_stderr,none": 0.03536117886664742
        },
        "harness|mmlu_moral_disputes|0": {
            "alias": "  - moral_disputes",
            "acc,none": 0.5982658959537572,
            "acc_stderr,none": 0.026394104177643627
        },
        "harness|mmlu_moral_scenarios|0": {
            "alias": "  - moral_scenarios",
            "acc,none": 0.41899441340782123,
            "acc_stderr,none": 0.016501579306861677
        },
        "harness|mmlu_philosophy|0": {
            "alias": "  - philosophy",
            "acc,none": 0.6302250803858521,
            "acc_stderr,none": 0.027417996705630998
        },
        "harness|mmlu_prehistory|0": {
            "alias": "  - prehistory",
            "acc,none": 0.6944444444444444,
            "acc_stderr,none": 0.025630824975621344
        },
        "harness|mmlu_professional_law|0": {
            "alias": "  - professional_law",
            "acc,none": 0.4471968709256845,
            "acc_stderr,none": 0.012698825252435111
        },
        "harness|mmlu_world_religions|0": {
            "alias": "  - world_religions",
            "acc,none": 0.7602339181286549,
            "acc_stderr,none": 0.03274485211946956
        },
        "harness|mmlu_other|0": {
            "alias": " - other",
            "acc,none": 0.638236240746701,
            "acc_stderr,none": 0.008388402876897084
        },
        "harness|mmlu_business_ethics|0": {
            "alias": "  - business_ethics",
            "acc,none": 0.64,
            "acc_stderr,none": 0.048241815132442176
        },
        "harness|mmlu_clinical_knowledge|0": {
            "alias": "  - clinical_knowledge",
            "acc,none": 0.630188679245283,
            "acc_stderr,none": 0.029711421880107933
        },
        "harness|mmlu_college_medicine|0": {
            "alias": "  - college_medicine",
            "acc,none": 0.5491329479768786,
            "acc_stderr,none": 0.03794012674697028
        },
        "harness|mmlu_global_facts|0": {
            "alias": "  - global_facts",
            "acc,none": 0.39,
            "acc_stderr,none": 0.04902071300001975
        },
        "harness|mmlu_human_aging|0": {
            "alias": "  - human_aging",
            "acc,none": 0.6098654708520179,
            "acc_stderr,none": 0.03273766725459156
        },
        "harness|mmlu_management|0": {
            "alias": "  - management",
            "acc,none": 0.7766990291262136,
            "acc_stderr,none": 0.04123553189891431
        },
        "harness|mmlu_marketing|0": {
            "alias": "  - marketing",
            "acc,none": 0.8418803418803419,
            "acc_stderr,none": 0.023902325549560417
        },
        "harness|mmlu_medical_genetics|0": {
            "alias": "  - medical_genetics",
            "acc,none": 0.66,
            "acc_stderr,none": 0.04760952285695238
        },
        "harness|mmlu_miscellaneous|0": {
            "alias": "  - miscellaneous",
            "acc,none": 0.7458492975734355,
            "acc_stderr,none": 0.01556925469204577
        },
        "harness|mmlu_nutrition|0": {
            "alias": "  - nutrition",
            "acc,none": 0.5980392156862745,
            "acc_stderr,none": 0.02807415894760066
        },
        "harness|mmlu_professional_accounting|0": {
            "alias": "  - professional_accounting",
            "acc,none": 0.5035460992907801,
            "acc_stderr,none": 0.02982674915328092
        },
        "harness|mmlu_professional_medicine|0": {
            "alias": "  - professional_medicine",
            "acc,none": 0.5661764705882353,
            "acc_stderr,none": 0.030105636570016636
        },
        "harness|mmlu_virology|0": {
            "alias": "  - virology",
            "acc,none": 0.4578313253012048,
            "acc_stderr,none": 0.0387862677100236
        },
        "harness|mmlu_social_sciences|0": {
            "alias": " - social_sciences",
            "acc,none": 0.68020799480013,
            "acc_stderr,none": 0.008161750542677104
        },
        "harness|mmlu_econometrics|0": {
            "alias": "  - econometrics",
            "acc,none": 0.34210526315789475,
            "acc_stderr,none": 0.04462917535336937
        },
        "harness|mmlu_high_school_geography|0": {
            "alias": "  - high_school_geography",
            "acc,none": 0.7121212121212122,
            "acc_stderr,none": 0.03225883512300992
        },
        "harness|mmlu_high_school_government_and_politics|0": {
            "alias": "  - high_school_government_and_politics",
            "acc,none": 0.8134715025906736,
            "acc_stderr,none": 0.028112091210117474
        },
        "harness|mmlu_high_school_macroeconomics|0": {
            "alias": "  - high_school_macroeconomics",
            "acc,none": 0.6358974358974359,
            "acc_stderr,none": 0.02439667298509477
        },
        "harness|mmlu_high_school_microeconomics|0": {
            "alias": "  - high_school_microeconomics",
            "acc,none": 0.6596638655462185,
            "acc_stderr,none": 0.030778057422931673
        },
        "harness|mmlu_high_school_psychology|0": {
            "alias": "  - high_school_psychology",
            "acc,none": 0.8256880733944955,
            "acc_stderr,none": 0.016265675632010354
        },
        "harness|mmlu_human_sexuality|0": {
            "alias": "  - human_sexuality",
            "acc,none": 0.5725190839694656,
            "acc_stderr,none": 0.04338920305792401
        },
        "harness|mmlu_professional_psychology|0": {
            "alias": "  - professional_psychology",
            "acc,none": 0.6405228758169934,
            "acc_stderr,none": 0.01941253924203216
        },
        "harness|mmlu_public_relations|0": {
            "alias": "  - public_relations",
            "acc,none": 0.6090909090909091,
            "acc_stderr,none": 0.04673752333670238
        },
        "harness|mmlu_security_studies|0": {
            "alias": "  - security_studies",
            "acc,none": 0.5306122448979592,
            "acc_stderr,none": 0.031949171367580624
        },
        "harness|mmlu_sociology|0": {
            "alias": "  - sociology",
            "acc,none": 0.7960199004975125,
            "acc_stderr,none": 0.02849317624532608
        },
        "harness|mmlu_us_foreign_policy|0": {
            "alias": "  - us_foreign_policy",
            "acc,none": 0.77,
            "acc_stderr,none": 0.042295258468165044
        },
        "harness|mmlu_stem|0": {
            "alias": " - stem",
            "acc,none": 0.4652711703139867,
            "acc_stderr,none": 0.008511108943898386
        },
        "harness|mmlu_abstract_algebra|0": {
            "alias": "  - abstract_algebra",
            "acc,none": 0.27,
            "acc_stderr,none": 0.044619604333847394
        },
        "harness|mmlu_anatomy|0": {
            "alias": "  - anatomy",
            "acc,none": 0.5777777777777777,
            "acc_stderr,none": 0.04266763404099582
        },
        "harness|mmlu_astronomy|0": {
            "alias": "  - astronomy",
            "acc,none": 0.6644736842105263,
            "acc_stderr,none": 0.03842498559395267
        },
        "harness|mmlu_college_biology|0": {
            "alias": "  - college_biology",
            "acc,none": 0.6666666666666666,
            "acc_stderr,none": 0.039420826399272135
        },
        "harness|mmlu_college_chemistry|0": {
            "alias": "  - college_chemistry",
            "acc,none": 0.42,
            "acc_stderr,none": 0.049604496374885836
        },
        "harness|mmlu_college_computer_science|0": {
            "alias": "  - college_computer_science",
            "acc,none": 0.4,
            "acc_stderr,none": 0.04923659639173309
        },
        "harness|mmlu_college_mathematics|0": {
            "alias": "  - college_mathematics",
            "acc,none": 0.25,
            "acc_stderr,none": 0.04351941398892446
        },
        "harness|mmlu_college_physics|0": {
            "alias": "  - college_physics",
            "acc,none": 0.35294117647058826,
            "acc_stderr,none": 0.04755129616062946
        },
        "harness|mmlu_computer_security|0": {
            "alias": "  - computer_security",
            "acc,none": 0.65,
            "acc_stderr,none": 0.047937248544110196
        },
        "harness|mmlu_conceptual_physics|0": {
            "alias": "  - conceptual_physics",
            "acc,none": 0.5319148936170213,
            "acc_stderr,none": 0.03261936918467382
        },
        "harness|mmlu_electrical_engineering|0": {
            "alias": "  - electrical_engineering",
            "acc,none": 0.4206896551724138,
            "acc_stderr,none": 0.0411391498118926
        },
        "harness|mmlu_elementary_mathematics|0": {
            "alias": "  - elementary_mathematics",
            "acc,none": 0.35978835978835977,
            "acc_stderr,none": 0.02471807594412928
        },
        "harness|mmlu_high_school_biology|0": {
            "alias": "  - high_school_biology",
            "acc,none": 0.6935483870967742,
            "acc_stderr,none": 0.02622648565255388
        },
        "harness|mmlu_high_school_chemistry|0": {
            "alias": "  - high_school_chemistry",
            "acc,none": 0.4827586206896552,
            "acc_stderr,none": 0.035158955511657
        },
        "harness|mmlu_high_school_computer_science|0": {
            "alias": "  - high_school_computer_science",
            "acc,none": 0.61,
            "acc_stderr,none": 0.04902071300001974
        },
        "harness|mmlu_high_school_mathematics|0": {
            "alias": "  - high_school_mathematics",
            "acc,none": 0.22962962962962963,
            "acc_stderr,none": 0.025644108639267624
        },
        "harness|mmlu_high_school_physics|0": {
            "alias": "  - high_school_physics",
            "acc,none": 0.3443708609271523,
            "acc_stderr,none": 0.03879687024073327
        },
        "harness|mmlu_high_school_statistics|0": {
            "alias": "  - high_school_statistics",
            "acc,none": 0.46296296296296297,
            "acc_stderr,none": 0.03400603625538272
        },
        "harness|mmlu_machine_learning|0": {
            "alias": "  - machine_learning",
            "acc,none": 0.41964285714285715,
            "acc_stderr,none": 0.04684099321077106
        },
        "harness|boolq|0": {
            "acc,none": 0.8510703363914373,
            "acc_stderr,none": 0.006226813679382005,
            "alias": "boolq"
        },
        "harness|truthfulqa:mc2|0": {
            "acc,none": 0.5298984108646814,
            "acc_stderr,none": 0.015543848691376448,
            "alias": "truthfulqa_mc2"
        },
        "harness|arc:easy|0": {
            "acc,none": 0.7916666666666666,
            "acc_stderr,none": 0.008333333333333191,
            "acc_norm,none": 0.7714646464646465,
            "acc_norm_stderr,none": 0.008615944722488503,
            "alias": "arc_easy"
        },
        "harness|truthfulqa:mc1|0": {
            "acc,none": 0.37576499388004897,
            "acc_stderr,none": 0.016954584060214297,
            "alias": "truthfulqa_mc1"
        },
        "harness|openbookqa|0": {
            "acc,none": 0.342,
            "acc_stderr,none": 0.021236147199899254,
            "acc_norm,none": 0.422,
            "acc_norm_stderr,none": 0.022109039310618552,
            "alias": "openbookqa"
        },
        "harness|lambada:openai|0": {
            "perplexity,none": 6.567239054538494,
            "perplexity_stderr,none": 0.1852860668326811,
            "acc,none": 0.3089462449058801,
            "acc_stderr,none": 0.006437384484045087,
            "alias": "lambada_openai"
        },
        "harness|piqa|0": {
            "acc,none": 0.7905331882480957,
            "acc_stderr,none": 0.009494302979819803,
            "acc_norm,none": 0.7916213275299239,
            "acc_norm_stderr,none": 0.009476125383049464,
            "alias": "piqa"
        },
        "harness|arc:challenge|0": {
            "acc,none": 0.5315699658703071,
            "acc_stderr,none": 0.014582236460866978,
            "acc_norm,none": 0.5443686006825939,
            "acc_norm_stderr,none": 0.014553749939306868,
            "alias": "arc_challenge"
        },
        "harness|winogrande|0": {
            "acc,none": 0.7316495659037096,
            "acc_stderr,none": 0.012453340359561195,
            "alias": "winogrande"
        }
    },
    "task_info": {
        "model": "PrunaAI/Phi-3-mini-128k-instruct-GGUF-Imatrix-smashed",
        "revision": "main",
        "private": false,
        "params": null,
        "architectures": "?",
        "quant_type": "llama.cpp",
        "precision": "4bit",
        "model_params": null,
        "model_size": null,
        "weight_dtype": "int4",
        "compute_dtype": "float16",
        "gguf_ftype": "*Q4_0.gguf",
        "hardware": "cpu",
        "status": "Pending",
        "submitted_time": "2024-05-10T07:32:46Z",
        "model_type": "quantization",
        "job_id": -1,
        "job_start_time": null,
        "scripts": "llama_cpp"
    },
    "quantization_config": {
        "quant_method": "llama.cpp",
        "ftype": "*Q4_0.gguf"
    },
    "versions": {
        "harness|hellaswag|0": 1.0,
        "harness|mmlu|0": null,
        "harness|mmlu_humanities|0": null,
        "harness|mmlu_formal_logic|0": 0.0,
        "harness|mmlu_high_school_european_history|0": 0.0,
        "harness|mmlu_high_school_us_history|0": 0.0,
        "harness|mmlu_high_school_world_history|0": 0.0,
        "harness|mmlu_international_law|0": 0.0,
        "harness|mmlu_jurisprudence|0": 0.0,
        "harness|mmlu_logical_fallacies|0": 0.0,
        "harness|mmlu_moral_disputes|0": 0.0,
        "harness|mmlu_moral_scenarios|0": 0.0,
        "harness|mmlu_philosophy|0": 0.0,
        "harness|mmlu_prehistory|0": 0.0,
        "harness|mmlu_professional_law|0": 0.0,
        "harness|mmlu_world_religions|0": 0.0,
        "harness|mmlu_other|0": null,
        "harness|mmlu_business_ethics|0": 0.0,
        "harness|mmlu_clinical_knowledge|0": 0.0,
        "harness|mmlu_college_medicine|0": 0.0,
        "harness|mmlu_global_facts|0": 0.0,
        "harness|mmlu_human_aging|0": 0.0,
        "harness|mmlu_management|0": 0.0,
        "harness|mmlu_marketing|0": 0.0,
        "harness|mmlu_medical_genetics|0": 0.0,
        "harness|mmlu_miscellaneous|0": 0.0,
        "harness|mmlu_nutrition|0": 0.0,
        "harness|mmlu_professional_accounting|0": 0.0,
        "harness|mmlu_professional_medicine|0": 0.0,
        "harness|mmlu_virology|0": 0.0,
        "harness|mmlu_social_sciences|0": null,
        "harness|mmlu_econometrics|0": 0.0,
        "harness|mmlu_high_school_geography|0": 0.0,
        "harness|mmlu_high_school_government_and_politics|0": 0.0,
        "harness|mmlu_high_school_macroeconomics|0": 0.0,
        "harness|mmlu_high_school_microeconomics|0": 0.0,
        "harness|mmlu_high_school_psychology|0": 0.0,
        "harness|mmlu_human_sexuality|0": 0.0,
        "harness|mmlu_professional_psychology|0": 0.0,
        "harness|mmlu_public_relations|0": 0.0,
        "harness|mmlu_security_studies|0": 0.0,
        "harness|mmlu_sociology|0": 0.0,
        "harness|mmlu_us_foreign_policy|0": 0.0,
        "harness|mmlu_stem|0": null,
        "harness|mmlu_abstract_algebra|0": 0.0,
        "harness|mmlu_anatomy|0": 0.0,
        "harness|mmlu_astronomy|0": 0.0,
        "harness|mmlu_college_biology|0": 0.0,
        "harness|mmlu_college_chemistry|0": 0.0,
        "harness|mmlu_college_computer_science|0": 0.0,
        "harness|mmlu_college_mathematics|0": 0.0,
        "harness|mmlu_college_physics|0": 0.0,
        "harness|mmlu_computer_security|0": 0.0,
        "harness|mmlu_conceptual_physics|0": 0.0,
        "harness|mmlu_electrical_engineering|0": 0.0,
        "harness|mmlu_elementary_mathematics|0": 0.0,
        "harness|mmlu_high_school_biology|0": 0.0,
        "harness|mmlu_high_school_chemistry|0": 0.0,
        "harness|mmlu_high_school_computer_science|0": 0.0,
        "harness|mmlu_high_school_mathematics|0": 0.0,
        "harness|mmlu_high_school_physics|0": 0.0,
        "harness|mmlu_high_school_statistics|0": 0.0,
        "harness|mmlu_machine_learning|0": 0.0,
        "harness|boolq|0": 2.0,
        "harness|truthfulqa:mc2|0": 2.0,
        "harness|arc:easy|0": 1.0,
        "harness|truthfulqa:mc1|0": 2.0,
        "harness|openbookqa|0": 1.0,
        "harness|lambada:openai|0": 1.0,
        "harness|piqa|0": 1.0,
        "harness|arc:challenge|0": 1.0,
        "harness|winogrande|0": 1.0
    },
    "n-shot": {
        "arc_challenge": 0,
        "arc_easy": 0,
        "boolq": 0,
        "hellaswag": 0,
        "lambada_openai": 0,
        "mmlu": 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_humanities": 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_other": 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_social_sciences": 0,
        "mmlu_sociology": 0,
        "mmlu_stem": 0,
        "mmlu_us_foreign_policy": 0,
        "mmlu_virology": 0,
        "mmlu_world_religions": 0,
        "openbookqa": 0,
        "piqa": 0,
        "truthfulqa_mc1": 0,
        "truthfulqa_mc2": 0,
        "winogrande": 0
    },
    "date": 1715589898.9681585,
    "config": {
        "model": "WrapperGGUFLM",
        "model_args": "gguf_model=PrunaAI/Phi-3-mini-128k-instruct-GGUF-Imatrix-smashed,ftype=*Q4_0.gguf,dtype=float16,_commit_hash=main",
        "batch_size": 1,
        "batch_sizes": [],
        "device": "cuda",
        "use_cache": null,
        "limit": null,
        "bootstrap_iters": 100000,
        "gen_kwargs": null
    }
}