Edit model card

Merge of top 7B models with PASS method

mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

Eval

{
    "all": {
        "acc": 0.6152059168567449,
        "acc_stderr": 0.031951119145286845,
        "acc_norm": 0.6274010157580394,
        "acc_norm_stderr": 0.032831804892806175,
        "mc1": 0.25091799265605874,
        "mc1_stderr": 0.015176985027707694,
        "mc2": 0.5006656333594469,
        "mc2_stderr": 0.01636490303268174
    },
    "harness|arc:challenge|25": {
        "acc": 0.3447098976109215,
        "acc_stderr": 0.013888816286782112,
        "acc_norm": 0.3856655290102389,
        "acc_norm_stderr": 0.01422425097325717
    },
    "harness|hellaswag|10": {
        "acc": 0.34116709818761204,
        "acc_stderr": 0.004731324409133264,
        "acc_norm": 0.515435172276439,
        "acc_norm_stderr": 0.004987403268345035
    },
    "harness|hendrycksTest-abstract_algebra|5": {
        "acc": 0.27,
        "acc_stderr": 0.04461960433384741,
        "acc_norm": 0.27,
        "acc_norm_stderr": 0.04461960433384741
    },
    "harness|hendrycksTest-anatomy|5": {
        "acc": 0.5703703703703704,
        "acc_stderr": 0.042763494943765995,
        "acc_norm": 0.5703703703703704,
        "acc_norm_stderr": 0.042763494943765995
    },
    "harness|hendrycksTest-astronomy|5": {
        "acc": 0.6842105263157895,
        "acc_stderr": 0.0378272898086547,
        "acc_norm": 0.6842105263157895,
        "acc_norm_stderr": 0.0378272898086547
    },
    "harness|hendrycksTest-business_ethics|5": {
        "acc": 0.62,
        "acc_stderr": 0.048783173121456316,
        "acc_norm": 0.62,
        "acc_norm_stderr": 0.048783173121456316
    },
    "harness|hendrycksTest-clinical_knowledge|5": {
        "acc": 0.7169811320754716,
        "acc_stderr": 0.027724236492700918,
        "acc_norm": 0.7169811320754716,
        "acc_norm_stderr": 0.027724236492700918
    },
    "harness|hendrycksTest-college_biology|5": {
        "acc": 0.7638888888888888,
        "acc_stderr": 0.03551446610810826,
        "acc_norm": 0.7638888888888888,
        "acc_norm_stderr": 0.03551446610810826
    },
    "harness|hendrycksTest-college_chemistry|5": {
        "acc": 0.45,
        "acc_stderr": 0.05,
        "acc_norm": 0.45,
        "acc_norm_stderr": 0.05
    },
    "harness|hendrycksTest-college_computer_science|5": {
        "acc": 0.46,
        "acc_stderr": 0.05009082659620333,
        "acc_norm": 0.46,
        "acc_norm_stderr": 0.05009082659620333
    },
    "harness|hendrycksTest-college_mathematics|5": {
        "acc": 0.32,
        "acc_stderr": 0.04688261722621504,
        "acc_norm": 0.32,
        "acc_norm_stderr": 0.04688261722621504
    },
    "harness|hendrycksTest-college_medicine|5": {
        "acc": 0.6358381502890174,
        "acc_stderr": 0.03669072477416907,
        "acc_norm": 0.6358381502890174,
        "acc_norm_stderr": 0.03669072477416907
    },
    "harness|hendrycksTest-college_physics|5": {
        "acc": 0.4019607843137255,
        "acc_stderr": 0.048786087144669955,
        "acc_norm": 0.4019607843137255,
        "acc_norm_stderr": 0.048786087144669955
    },
    "harness|hendrycksTest-computer_security|5": {
        "acc": 0.76,
        "acc_stderr": 0.04292346959909283,
        "acc_norm": 0.76,
        "acc_norm_stderr": 0.04292346959909283
    },
    "harness|hendrycksTest-conceptual_physics|5": {
        "acc": 0.5446808510638298,
        "acc_stderr": 0.03255525359340355,
        "acc_norm": 0.5446808510638298,
        "acc_norm_stderr": 0.03255525359340355
    },
    "harness|hendrycksTest-econometrics|5": {
        "acc": 0.4824561403508772,
        "acc_stderr": 0.04700708033551038,
        "acc_norm": 0.4824561403508772,
        "acc_norm_stderr": 0.04700708033551038
    },
    "harness|hendrycksTest-electrical_engineering|5": {
        "acc": 0.5172413793103449,
        "acc_stderr": 0.04164188720169375,
        "acc_norm": 0.5172413793103449,
        "acc_norm_stderr": 0.04164188720169375
    },
    "harness|hendrycksTest-elementary_mathematics|5": {
        "acc": 0.42857142857142855,
        "acc_stderr": 0.025487187147859372,
        "acc_norm": 0.42857142857142855,
        "acc_norm_stderr": 0.025487187147859372
    },
    "harness|hendrycksTest-formal_logic|5": {
        "acc": 0.3968253968253968,
        "acc_stderr": 0.043758884927270605,
        "acc_norm": 0.3968253968253968,
        "acc_norm_stderr": 0.043758884927270605
    },
    "harness|hendrycksTest-global_facts|5": {
        "acc": 0.34,
        "acc_stderr": 0.04760952285695236,
        "acc_norm": 0.34,
        "acc_norm_stderr": 0.04760952285695236
    },
    "harness|hendrycksTest-high_school_biology|5": {
        "acc": 0.7741935483870968,
        "acc_stderr": 0.023785577884181015,
        "acc_norm": 0.7741935483870968,
        "acc_norm_stderr": 0.023785577884181015
    },
    "harness|hendrycksTest-high_school_chemistry|5": {
        "acc": 0.5123152709359606,
        "acc_stderr": 0.035169204442208966,
        "acc_norm": 0.5123152709359606,
        "acc_norm_stderr": 0.035169204442208966
    },
    "harness|hendrycksTest-high_school_computer_science|5": {
        "acc": 0.66,
        "acc_stderr": 0.04760952285695237,
        "acc_norm": 0.66,
        "acc_norm_stderr": 0.04760952285695237
    },
    "harness|hendrycksTest-high_school_european_history|5": {
        "acc": 0.7636363636363637,
        "acc_stderr": 0.03317505930009181,
        "acc_norm": 0.7636363636363637,
        "acc_norm_stderr": 0.03317505930009181
    },
    "harness|hendrycksTest-high_school_geography|5": {
        "acc": 0.7373737373737373,
        "acc_stderr": 0.03135305009533085,
        "acc_norm": 0.7373737373737373,
        "acc_norm_stderr": 0.03135305009533085
    },
    "harness|hendrycksTest-high_school_government_and_politics|5": {
        "acc": 0.8808290155440415,
        "acc_stderr": 0.023381935348121437,
        "acc_norm": 0.8808290155440415,
        "acc_norm_stderr": 0.023381935348121437
    },
    "harness|hendrycksTest-high_school_macroeconomics|5": {
        "acc": 0.617948717948718,
        "acc_stderr": 0.024635549163908237,
        "acc_norm": 0.617948717948718,
        "acc_norm_stderr": 0.024635549163908237
    },
    "harness|hendrycksTest-high_school_mathematics|5": {
        "acc": 0.2777777777777778,
        "acc_stderr": 0.027309140588230203,
        "acc_norm": 0.2777777777777778,
        "acc_norm_stderr": 0.027309140588230203
    },
    "harness|hendrycksTest-high_school_microeconomics|5": {
        "acc": 0.6512605042016807,
        "acc_stderr": 0.030956636328566545,
        "acc_norm": 0.6512605042016807,
        "acc_norm_stderr": 0.030956636328566545
    },
    "harness|hendrycksTest-high_school_physics|5": {
        "acc": 0.32450331125827814,
        "acc_stderr": 0.038227469376587525,
        "acc_norm": 0.32450331125827814,
        "acc_norm_stderr": 0.038227469376587525
    },
    "harness|hendrycksTest-high_school_psychology|5": {
        "acc": 0.8440366972477065,
        "acc_stderr": 0.015555802713590158,
        "acc_norm": 0.8440366972477065,
        "acc_norm_stderr": 0.015555802713590158
    },
    "harness|hendrycksTest-high_school_statistics|5": {
        "acc": 0.4722222222222222,
        "acc_stderr": 0.0340470532865388,
        "acc_norm": 0.4722222222222222,
        "acc_norm_stderr": 0.0340470532865388
    },
    "harness|hendrycksTest-high_school_us_history|5": {
        "acc": 0.8431372549019608,
        "acc_stderr": 0.025524722324553346,
        "acc_norm": 0.8431372549019608,
        "acc_norm_stderr": 0.025524722324553346
    },
    "harness|hendrycksTest-high_school_world_history|5": {
        "acc": 0.810126582278481,
        "acc_stderr": 0.025530100460233497,
        "acc_norm": 0.810126582278481,
        "acc_norm_stderr": 0.025530100460233497
    },
    "harness|hendrycksTest-human_aging|5": {
        "acc": 0.7174887892376681,
        "acc_stderr": 0.03021683101150877,
        "acc_norm": 0.7174887892376681,
        "acc_norm_stderr": 0.03021683101150877
    },
    "harness|hendrycksTest-human_sexuality|5": {
        "acc": 0.7786259541984732,
        "acc_stderr": 0.0364129708131373,
        "acc_norm": 0.7786259541984732,
        "acc_norm_stderr": 0.0364129708131373
    },
    "harness|hendrycksTest-international_law|5": {
        "acc": 0.7768595041322314,
        "acc_stderr": 0.03800754475228733,
        "acc_norm": 0.7768595041322314,
        "acc_norm_stderr": 0.03800754475228733
    },
    "harness|hendrycksTest-jurisprudence|5": {
        "acc": 0.8148148148148148,
        "acc_stderr": 0.03755265865037181,
        "acc_norm": 0.8148148148148148,
        "acc_norm_stderr": 0.03755265865037181
    },
    "harness|hendrycksTest-logical_fallacies|5": {
        "acc": 0.7914110429447853,
        "acc_stderr": 0.031921934489347235,
        "acc_norm": 0.7914110429447853,
        "acc_norm_stderr": 0.031921934489347235
    },
    "harness|hendrycksTest-machine_learning|5": {
        "acc": 0.5446428571428571,
        "acc_stderr": 0.04726835553719097,
        "acc_norm": 0.5446428571428571,
        "acc_norm_stderr": 0.04726835553719097
    },
    "harness|hendrycksTest-management|5": {
        "acc": 0.8349514563106796,
        "acc_stderr": 0.036756688322331886,
        "acc_norm": 0.8349514563106796,
        "acc_norm_stderr": 0.036756688322331886
    },
    "harness|hendrycksTest-marketing|5": {
        "acc": 0.8290598290598291,
        "acc_stderr": 0.024662496845209804,
        "acc_norm": 0.8290598290598291,
        "acc_norm_stderr": 0.024662496845209804
    },
    "harness|hendrycksTest-medical_genetics|5": {
        "acc": 0.69,
        "acc_stderr": 0.04648231987117316,
        "acc_norm": 0.69,
        "acc_norm_stderr": 0.04648231987117316
    },
    "harness|hendrycksTest-miscellaneous|5": {
        "acc": 0.8250319284802043,
        "acc_stderr": 0.013586619219903324,
        "acc_norm": 0.8250319284802043,
        "acc_norm_stderr": 0.013586619219903324
    },
    "harness|hendrycksTest-moral_disputes|5": {
        "acc": 0.7283236994219653,
        "acc_stderr": 0.023948512905468348,
        "acc_norm": 0.7283236994219653,
        "acc_norm_stderr": 0.023948512905468348
    },
    "harness|hendrycksTest-moral_scenarios|5": {
        "acc": 0.36312849162011174,
        "acc_stderr": 0.016083749986853704,
        "acc_norm": 0.36312849162011174,
        "acc_norm_stderr": 0.016083749986853704
    },
    "harness|hendrycksTest-nutrition|5": {
        "acc": 0.7450980392156863,
        "acc_stderr": 0.02495418432487991,
        "acc_norm": 0.7450980392156863,
        "acc_norm_stderr": 0.02495418432487991
    },
    "harness|hendrycksTest-philosophy|5": {
        "acc": 0.7202572347266881,
        "acc_stderr": 0.02549425935069491,
        "acc_norm": 0.7202572347266881,
        "acc_norm_stderr": 0.02549425935069491
    },
    "harness|hendrycksTest-prehistory|5": {
        "acc": 0.7530864197530864,
        "acc_stderr": 0.023993501709042114,
        "acc_norm": 0.7530864197530864,
        "acc_norm_stderr": 0.023993501709042114
    },
    "harness|hendrycksTest-professional_accounting|5": {
        "acc": 0.4787234042553192,
        "acc_stderr": 0.029800481645628693,
        "acc_norm": 0.4787234042553192,
        "acc_norm_stderr": 0.029800481645628693
    },
    "harness|hendrycksTest-professional_law|5": {
        "acc": 0.4367666232073012,
        "acc_stderr": 0.01266770191960366,
        "acc_norm": 0.4367666232073012,
        "acc_norm_stderr": 0.01266770191960366
    },
    "harness|hendrycksTest-professional_medicine|5": {
        "acc": 0.6176470588235294,
        "acc_stderr": 0.029520095697687765,
        "acc_norm": 0.6176470588235294,
        "acc_norm_stderr": 0.029520095697687765
    },
    "harness|hendrycksTest-professional_psychology|5": {
        "acc": 0.6699346405228758,
        "acc_stderr": 0.019023726160724553,
        "acc_norm": 0.6699346405228758,
        "acc_norm_stderr": 0.019023726160724553
    },
    "harness|hendrycksTest-public_relations|5": {
        "acc": 0.6545454545454545,
        "acc_stderr": 0.04554619617541054,
        "acc_norm": 0.6545454545454545,
        "acc_norm_stderr": 0.04554619617541054
    },
    "harness|hendrycksTest-security_studies|5": {
        "acc": 0.726530612244898,
        "acc_stderr": 0.028535560337128445,
        "acc_norm": 0.726530612244898,
        "acc_norm_stderr": 0.028535560337128445
    },
    "harness|hendrycksTest-sociology|5": {
        "acc": 0.845771144278607,
        "acc_stderr": 0.025538433368578334,
        "acc_norm": 0.845771144278607,
        "acc_norm_stderr": 0.025538433368578334
    },
    "harness|hendrycksTest-us_foreign_policy|5": {
        "acc": 0.85,
        "acc_stderr": 0.03588702812826371,
        "acc_norm": 0.85,
        "acc_norm_stderr": 0.03588702812826371
    },
    "harness|hendrycksTest-virology|5": {
        "acc": 0.5542168674698795,
        "acc_stderr": 0.03869543323472101,
        "acc_norm": 0.5542168674698795,
        "acc_norm_stderr": 0.03869543323472101
    },
    "harness|hendrycksTest-world_religions|5": {
        "acc": 0.8362573099415205,
        "acc_stderr": 0.028380919596145866,
        "acc_norm": 0.8362573099415205,
        "acc_norm_stderr": 0.028380919596145866
    },
    "harness|truthfulqa:mc|0": {
        "mc1": 0.25091799265605874,
        "mc1_stderr": 0.015176985027707694,
        "mc2": 0.5006656333594469,
        "mc2_stderr": 0.01636490303268174
    },
    "harness|winogrande|5": {
        "acc": 0.7261247040252565,
        "acc_stderr": 0.012533292732620296
    },
    "harness|gsm8k|5": {
        "acc": 0.0,
        "acc_stderr": 0.0
    }
}

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 46.02
AI2 Reasoning Challenge (25-Shot) 38.57
HellaSwag (10-Shot) 51.54
MMLU (5-Shot) 63.36
TruthfulQA (0-shot) 50.07
Winogrande (5-shot) 72.61
GSM8k (5-shot) 0.00
Downloads last month
2,774
Safetensors
Model size
14.2B params
Tensor type
BF16
·

Collection including MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1

Evaluation results