Update README.md
#1
by
MaziyarPanahi
- opened
README.md
CHANGED
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@@ -8,4 +8,389 @@ tags:
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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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| 10 |
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| 11 |
+
> 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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| 46 |
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"acc_stderr": 0.04153948404742398,
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| 47 |
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"acc_norm": 0.6370370370370371,
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| 48 |
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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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| 53 |
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"acc_norm": 0.7105263157894737,
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| 54 |
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"acc_norm_stderr": 0.03690677986137283
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},
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| 56 |
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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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| 59 |
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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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| 62 |
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"harness|hendrycksTest-clinical_knowledge|5": {
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| 63 |
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"acc": 0.6981132075471698,
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| 64 |
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"acc_stderr": 0.02825420034443866,
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| 65 |
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"acc_norm": 0.6981132075471698,
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| 66 |
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"acc_norm_stderr": 0.02825420034443866
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| 67 |
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},
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| 68 |
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"harness|hendrycksTest-college_biology|5": {
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| 69 |
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"acc": 0.7638888888888888,
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| 70 |
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"acc_stderr": 0.03551446610810826,
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| 71 |
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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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| 77 |
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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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| 84 |
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"acc_norm_stderr": 0.049888765156985884
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},
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| 86 |
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"harness|hendrycksTest-college_mathematics|5": {
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| 87 |
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"acc": 0.27,
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| 88 |
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"acc_stderr": 0.0446196043338474,
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| 89 |
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"acc_norm": 0.27,
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| 90 |
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"acc_norm_stderr": 0.0446196043338474
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| 91 |
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},
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| 92 |
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"harness|hendrycksTest-college_medicine|5": {
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| 93 |
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"acc": 0.6589595375722543,
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| 94 |
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"acc_stderr": 0.03614665424180826,
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| 95 |
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"acc_norm": 0.6589595375722543,
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| 96 |
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"acc_norm_stderr": 0.03614665424180826
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},
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| 98 |
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"harness|hendrycksTest-college_physics|5": {
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| 99 |
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"acc": 0.4117647058823529,
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"acc_stderr": 0.048971049527263666,
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| 101 |
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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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| 104 |
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"harness|hendrycksTest-computer_security|5": {
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| 105 |
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"acc": 0.75,
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| 106 |
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"acc_stderr": 0.04351941398892446,
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| 107 |
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"acc_norm": 0.75,
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| 108 |
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"acc_norm_stderr": 0.04351941398892446
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| 109 |
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},
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| 110 |
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"harness|hendrycksTest-conceptual_physics|5": {
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| 111 |
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"acc": 0.5787234042553191,
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| 112 |
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"acc_stderr": 0.03227834510146268,
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| 113 |
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"acc_norm": 0.5787234042553191,
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| 114 |
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"acc_norm_stderr": 0.03227834510146268
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| 115 |
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},
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| 116 |
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"harness|hendrycksTest-econometrics|5": {
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| 117 |
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"acc": 0.5175438596491229,
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| 118 |
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"acc_stderr": 0.04700708033551038,
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| 119 |
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"acc_norm": 0.5175438596491229,
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| 120 |
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"acc_norm_stderr": 0.04700708033551038
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| 121 |
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},
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| 122 |
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"harness|hendrycksTest-electrical_engineering|5": {
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| 123 |
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"acc": 0.5655172413793104,
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| 124 |
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"acc_stderr": 0.04130740879555497,
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| 125 |
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"acc_norm": 0.5655172413793104,
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| 126 |
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"acc_norm_stderr": 0.04130740879555497
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| 127 |
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},
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| 128 |
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"harness|hendrycksTest-elementary_mathematics|5": {
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| 129 |
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"acc": 0.4312169312169312,
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| 130 |
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"acc_stderr": 0.02550648169813821,
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| 131 |
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"acc_norm": 0.4312169312169312,
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| 132 |
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"acc_norm_stderr": 0.02550648169813821
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| 133 |
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},
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| 134 |
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"harness|hendrycksTest-formal_logic|5": {
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| 135 |
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"acc": 0.48412698412698413,
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| 136 |
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"acc_stderr": 0.04469881854072606,
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| 137 |
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"acc_norm": 0.48412698412698413,
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| 138 |
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"acc_norm_stderr": 0.04469881854072606
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| 139 |
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},
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| 140 |
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"harness|hendrycksTest-global_facts|5": {
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| 141 |
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"acc": 0.33,
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| 142 |
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"acc_stderr": 0.04725815626252604,
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| 143 |
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"acc_norm": 0.33,
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| 144 |
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"acc_norm_stderr": 0.04725815626252604
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| 145 |
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},
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| 146 |
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"harness|hendrycksTest-high_school_biology|5": {
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| 147 |
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"acc": 0.7838709677419354,
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| 148 |
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"acc_stderr": 0.02341529343356853,
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| 149 |
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"acc_norm": 0.7838709677419354,
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| 150 |
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"acc_norm_stderr": 0.02341529343356853
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| 151 |
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},
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| 152 |
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"harness|hendrycksTest-high_school_chemistry|5": {
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| 153 |
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"acc": 0.4975369458128079,
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| 154 |
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"acc_stderr": 0.03517945038691063,
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| 155 |
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"acc_norm": 0.4975369458128079,
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| 156 |
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"acc_norm_stderr": 0.03517945038691063
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| 157 |
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},
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| 158 |
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"harness|hendrycksTest-high_school_computer_science|5": {
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| 159 |
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"acc": 0.67,
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| 160 |
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"acc_stderr": 0.04725815626252607,
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| 161 |
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"acc_norm": 0.67,
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| 162 |
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"acc_norm_stderr": 0.04725815626252607
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| 163 |
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},
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| 164 |
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"harness|hendrycksTest-high_school_european_history|5": {
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| 165 |
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"acc": 0.7878787878787878,
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| 166 |
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"acc_stderr": 0.031922715695483,
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| 167 |
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"acc_norm": 0.7878787878787878,
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| 168 |
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"acc_norm_stderr": 0.031922715695483
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| 169 |
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},
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| 170 |
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"harness|hendrycksTest-high_school_geography|5": {
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| 171 |
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"acc": 0.7929292929292929,
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| 172 |
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"acc_stderr": 0.028869778460267045,
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| 173 |
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"acc_norm": 0.7929292929292929,
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| 174 |
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"acc_norm_stderr": 0.028869778460267045
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| 175 |
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},
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| 176 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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| 177 |
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"acc": 0.9015544041450777,
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| 178 |
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"acc_stderr": 0.021500249576033456,
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| 179 |
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"acc_norm": 0.9015544041450777,
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| 180 |
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"acc_norm_stderr": 0.021500249576033456
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| 181 |
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},
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| 182 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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| 183 |
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"acc": 0.6666666666666666,
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| 184 |
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"acc_stderr": 0.023901157979402534,
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| 185 |
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"acc_norm": 0.6666666666666666,
|
| 186 |
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| 394 |
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}
|
| 395 |
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|
| 396 |
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```
|