MaziyarPanahi
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Update README.md (#1)
Browse files- Update README.md (44650c528a94655c4d427bcd6b67e410498b008a)
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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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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![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/3a2An3rpaLMusQrtQ74Up.png)
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```python
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{
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"all": {
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"acc": 0.6568351479800627,
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"acc_stderr": 0.03199600851869088,
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"acc_norm": 0.6554901222242155,
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"acc_norm_stderr": 0.03267670432184765,
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"mc1": 0.5104039167686658,
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"mc1_stderr": 0.017499711430249268,
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"mc2": 0.6556430108444109,
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"mc2_stderr": 0.015519025079862213
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},
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"harness|arc:challenge|25": {
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"acc": 0.6919795221843004,
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"acc_stderr": 0.013491429517292038,
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"acc_norm": 0.7218430034129693,
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"acc_norm_stderr": 0.013094469919538812
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},
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"harness|hellaswag|10": {
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"acc": 0.7202748456482773,
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"acc_stderr": 0.0044794676194648,
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"acc_norm": 0.8828918542123083,
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"acc_norm_stderr": 0.003208919510309931
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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": 0.6518518518518519,
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"acc_stderr": 0.041153246103369526,
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"acc_norm": 0.6518518518518519,
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"acc_norm_stderr": 0.041153246103369526
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.7039473684210527,
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"acc_stderr": 0.03715062154998904,
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"acc_norm": 0.7039473684210527,
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"acc_norm_stderr": 0.03715062154998904
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},
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"harness|hendrycksTest-business_ethics|5": {
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"acc": 0.66,
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"acc_stderr": 0.04760952285695238,
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"acc_norm": 0.66,
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"acc_norm_stderr": 0.04760952285695238
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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": 0.7708333333333334,
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"acc_stderr": 0.03514697467862388,
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"acc_norm": 0.7708333333333334,
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"acc_norm_stderr": 0.03514697467862388
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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": 0.52,
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"acc_stderr": 0.050211673156867795,
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"acc_norm": 0.52,
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"acc_norm_stderr": 0.050211673156867795
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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": 0.044619604333847394,
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"acc_norm": 0.27,
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"acc_norm_stderr": 0.044619604333847394
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},
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"harness|hendrycksTest-college_medicine|5": {
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"acc": 0.6705202312138728,
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"acc_stderr": 0.03583901754736412,
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"acc_norm": 0.6705202312138728,
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"acc_norm_stderr": 0.03583901754736412
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},
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"harness|hendrycksTest-college_physics|5": {
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"acc": 0.4019607843137255,
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"acc_stderr": 0.04878608714466996,
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"acc_norm": 0.4019607843137255,
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"acc_norm_stderr": 0.04878608714466996
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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": 0.5914893617021276,
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"acc_stderr": 0.032134180267015755,
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"acc_norm": 0.5914893617021276,
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"acc_norm_stderr": 0.032134180267015755
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},
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"harness|hendrycksTest-econometrics|5": {
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"acc": 0.5087719298245614,
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"acc_stderr": 0.04702880432049615,
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"acc_norm": 0.5087719298245614,
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"acc_norm_stderr": 0.04702880432049615
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},
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"harness|hendrycksTest-electrical_engineering|5": {
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"acc": 0.5724137931034483,
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"acc_stderr": 0.04122737111370332,
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"acc_norm": 0.5724137931034483,
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"acc_norm_stderr": 0.04122737111370332
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},
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc": 0.42592592592592593,
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"acc_stderr": 0.02546714904546955,
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"acc_norm": 0.42592592592592593,
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"acc_norm_stderr": 0.02546714904546955
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},
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"harness|hendrycksTest-formal_logic|5": {
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"acc": 0.49206349206349204,
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"acc_stderr": 0.044715725362943486,
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"acc_norm": 0.49206349206349204,
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"acc_norm_stderr": 0.044715725362943486
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},
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"harness|hendrycksTest-global_facts|5": {
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"acc": 0.37,
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"acc_stderr": 0.04852365870939099,
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"acc_norm": 0.37,
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"acc_norm_stderr": 0.04852365870939099
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},
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"harness|hendrycksTest-high_school_biology|5": {
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"acc": 0.7903225806451613,
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"acc_stderr": 0.023157879349083525,
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"acc_norm": 0.7903225806451613,
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"acc_norm_stderr": 0.023157879349083525
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},
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"harness|hendrycksTest-high_school_chemistry|5": {
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"acc": 0.5073891625615764,
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"acc_stderr": 0.035176035403610105,
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"acc_norm": 0.5073891625615764,
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"acc_norm_stderr": 0.035176035403610105
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},
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc": 0.66,
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"acc_stderr": 0.04760952285695237,
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"acc_norm": 0.66,
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"acc_norm_stderr": 0.04760952285695237
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},
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"harness|hendrycksTest-high_school_european_history|5": {
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"acc": 0.7757575757575758,
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"acc_stderr": 0.03256866661681102,
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"acc_norm": 0.7757575757575758,
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"acc_norm_stderr": 0.03256866661681102
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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": 0.9067357512953368,
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"acc_stderr": 0.020986854593289733,
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"acc_norm": 0.9067357512953368,
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"acc_norm_stderr": 0.020986854593289733
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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": 0.02904560029061625,
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"acc_norm": 0.34814814814814815,
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"acc_norm_stderr": 0.02904560029061625
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"acc": 0.6764705882352942,
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"acc_stderr": 0.030388353551886793,
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"acc_norm": 0.6764705882352942,
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"acc_norm_stderr": 0.030388353551886793
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},
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"harness|hendrycksTest-high_school_physics|5": {
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"acc": 0.36423841059602646,
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"acc_norm": 0.36423841059602646,
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"acc_norm_stderr": 0.03929111781242742
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},
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc": 0.8366972477064221,
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"acc_stderr": 0.01584825580650155,
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"acc_norm": 0.8366972477064221,
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"acc_norm_stderr": 0.01584825580650155
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},
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"harness|hendrycksTest-high_school_statistics|5": {
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"acc_stderr": 0.03409825519163572,
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"acc_norm": 0.5046296296296297,
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"acc_norm_stderr": 0.03409825519163572
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},
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"harness|hendrycksTest-high_school_us_history|5": {
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"acc": 0.8529411764705882,
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"acc_stderr": 0.024857478080250447,
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"acc_norm": 0.8529411764705882,
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"acc_norm_stderr": 0.024857478080250447
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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": 0.6816143497757847,
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399 |
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400 |
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```
|