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Update README.md
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README.md
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Merge of top 7B models and the SLERP of other 7B models
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> 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.
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8 |
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9 |
Merge of top 7B models and the SLERP of other 7B models
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+
> 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.
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>
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> ## Eval
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> ```python
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> {
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"all": {
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"acc": 0.6571641282160704,
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"acc_stderr": 0.031918970852064334,
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"acc_norm": 0.6561506230894164,
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"acc_norm_stderr": 0.03258982989656136,
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"mc1": 0.4834761321909425,
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"mc1_stderr": 0.017493940190057723,
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"mc2": 0.6447306680251751,
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"mc2_stderr": 0.015519245883344577
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},
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"harness|arc:challenge|25": {
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"acc": 0.689419795221843,
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"acc_stderr": 0.01352229209805306,
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"acc_norm": 0.7090443686006825,
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"acc_norm_stderr": 0.013273077865907595
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},
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"harness|hellaswag|10": {
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"acc": 0.7168890659231228,
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"acc_stderr": 0.004495891440519419,
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"acc_norm": 0.8800039832702649,
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"acc_norm_stderr": 0.0032429275808698544
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},
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"harness|hendrycksTest-abstract_algebra|5": {
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"acc": 0.33,
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"acc_stderr": 0.047258156262526045,
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"acc_norm": 0.33,
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"acc_norm_stderr": 0.047258156262526045
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},
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"harness|hendrycksTest-anatomy|5": {
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"acc": 0.6370370370370371,
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"acc_stderr": 0.04153948404742398,
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"acc_norm": 0.6370370370370371,
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"acc_norm_stderr": 0.04153948404742398
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.7105263157894737,
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"acc_stderr": 0.03690677986137283,
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"acc_norm": 0.7105263157894737,
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"acc_norm_stderr": 0.03690677986137283
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},
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"harness|hendrycksTest-business_ethics|5": {
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"acc": 0.65,
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"acc_stderr": 0.0479372485441102,
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"acc_norm": 0.65,
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"acc_norm_stderr": 0.0479372485441102
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},
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"harness|hendrycksTest-clinical_knowledge|5": {
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"acc": 0.6981132075471698,
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"acc_stderr": 0.02825420034443866,
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"acc_norm": 0.6981132075471698,
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"acc_norm_stderr": 0.02825420034443866
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},
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"harness|hendrycksTest-college_biology|5": {
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"acc": 0.7638888888888888,
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"acc_stderr": 0.03551446610810826,
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"acc_norm": 0.7638888888888888,
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"acc_norm_stderr": 0.03551446610810826
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},
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"harness|hendrycksTest-college_chemistry|5": {
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"acc": 0.48,
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"acc_stderr": 0.050211673156867795,
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"acc_norm": 0.48,
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"acc_norm_stderr": 0.050211673156867795
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},
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"harness|hendrycksTest-college_computer_science|5": {
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"acc": 0.56,
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"acc_stderr": 0.049888765156985884,
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"acc_norm": 0.56,
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"acc_norm_stderr": 0.049888765156985884
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},
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"harness|hendrycksTest-college_mathematics|5": {
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"acc": 0.27,
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"acc_stderr": 0.0446196043338474,
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"acc_norm": 0.27,
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"acc_norm_stderr": 0.0446196043338474
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},
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"harness|hendrycksTest-college_medicine|5": {
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"acc": 0.6589595375722543,
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"acc_stderr": 0.03614665424180826,
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"acc_norm": 0.6589595375722543,
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"acc_norm_stderr": 0.03614665424180826
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},
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"harness|hendrycksTest-college_physics|5": {
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"acc": 0.4117647058823529,
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"acc_stderr": 0.048971049527263666,
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"acc_norm": 0.4117647058823529,
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"acc_norm_stderr": 0.048971049527263666
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},
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"harness|hendrycksTest-computer_security|5": {
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"acc": 0.75,
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"acc_stderr": 0.04351941398892446,
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"acc_norm": 0.75,
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"acc_norm_stderr": 0.04351941398892446
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},
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"harness|hendrycksTest-conceptual_physics|5": {
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"acc": 0.5787234042553191,
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"acc_stderr": 0.03227834510146268,
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"acc_norm": 0.5787234042553191,
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"acc_norm_stderr": 0.03227834510146268
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},
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"harness|hendrycksTest-econometrics|5": {
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"acc": 0.5175438596491229,
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"acc_stderr": 0.04700708033551038,
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"acc_norm": 0.5175438596491229,
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"acc_norm_stderr": 0.04700708033551038
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},
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"harness|hendrycksTest-electrical_engineering|5": {
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"acc": 0.5655172413793104,
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"acc_stderr": 0.04130740879555497,
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"acc_norm": 0.5655172413793104,
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"acc_norm_stderr": 0.04130740879555497
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},
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc": 0.4312169312169312,
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"acc_stderr": 0.02550648169813821,
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"acc_norm": 0.4312169312169312,
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"acc_norm_stderr": 0.02550648169813821
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},
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"harness|hendrycksTest-formal_logic|5": {
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"acc": 0.48412698412698413,
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"acc_stderr": 0.04469881854072606,
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"acc_norm": 0.48412698412698413,
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"acc_norm_stderr": 0.04469881854072606
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},
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"harness|hendrycksTest-global_facts|5": {
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"acc": 0.33,
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"acc_stderr": 0.04725815626252604,
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"acc_norm": 0.33,
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"acc_norm_stderr": 0.04725815626252604
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},
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"harness|hendrycksTest-high_school_biology|5": {
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"acc": 0.7838709677419354,
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"acc_stderr": 0.02341529343356853,
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"acc_norm": 0.7838709677419354,
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"acc_norm_stderr": 0.02341529343356853
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},
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"harness|hendrycksTest-high_school_chemistry|5": {
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"acc": 0.4975369458128079,
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"acc_stderr": 0.03517945038691063,
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"acc_norm": 0.4975369458128079,
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"acc_norm_stderr": 0.03517945038691063
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},
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc": 0.67,
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"acc_stderr": 0.04725815626252607,
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"acc_norm": 0.67,
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"acc_norm_stderr": 0.04725815626252607
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},
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"harness|hendrycksTest-high_school_european_history|5": {
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"acc": 0.7878787878787878,
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"acc_stderr": 0.031922715695483,
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"acc_norm": 0.7878787878787878,
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"acc_norm_stderr": 0.031922715695483
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},
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"harness|hendrycksTest-high_school_geography|5": {
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"acc": 0.7929292929292929,
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"acc_stderr": 0.028869778460267045,
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"acc_norm": 0.7929292929292929,
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"acc_norm_stderr": 0.028869778460267045
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},
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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"acc": 0.9015544041450777,
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"acc_stderr": 0.021500249576033456,
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"acc_norm": 0.9015544041450777,
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"acc_norm_stderr": 0.021500249576033456
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},
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc": 0.6666666666666666,
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"acc_stderr": 0.023901157979402534,
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"acc_norm": 0.6666666666666666,
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"acc_norm_stderr": 0.023901157979402534
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},
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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc": 0.34814814814814815,
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"acc_stderr": 0.029045600290616255,
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"acc_norm": 0.34814814814814815,
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"acc_norm_stderr": 0.029045600290616255
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"acc": 0.680672268907563,
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"acc_stderr": 0.030283995525884396,
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"acc_norm": 0.680672268907563,
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"acc_norm_stderr": 0.030283995525884396
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},
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"harness|hendrycksTest-high_school_physics|5": {
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"acc": 0.33112582781456956,
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"acc_stderr": 0.038425817186598696,
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"acc_norm": 0.33112582781456956,
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"acc_norm_stderr": 0.038425817186598696
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},
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc": 0.8385321100917431,
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"acc_stderr": 0.015776239256163224,
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"acc_norm": 0.8385321100917431,
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"acc_norm_stderr": 0.015776239256163224
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},
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"harness|hendrycksTest-high_school_statistics|5": {
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"acc": 0.5138888888888888,
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"acc_stderr": 0.03408655867977749,
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"acc_norm": 0.5138888888888888,
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"acc_norm_stderr": 0.03408655867977749
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},
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"harness|hendrycksTest-high_school_us_history|5": {
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"acc": 0.8578431372549019,
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"acc_stderr": 0.024509803921568603,
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"acc_norm": 0.8578431372549019,
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"acc_norm_stderr": 0.024509803921568603
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},
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"harness|hendrycksTest-high_school_world_history|5": {
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"acc": 0.8143459915611815,
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"acc_stderr": 0.025310495376944856,
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"acc_norm": 0.8143459915611815,
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"acc_norm_stderr": 0.025310495376944856
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},
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"harness|hendrycksTest-human_aging|5": {
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"acc": 0.6860986547085202,
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"acc_stderr": 0.031146796482972465,
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"acc_norm": 0.6860986547085202,
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"acc_norm_stderr": 0.031146796482972465
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},
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"harness|hendrycksTest-human_sexuality|5": {
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"acc": 0.7862595419847328,
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395 |
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396 |
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```
|