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Update README.md (#1)
Browse files- Update README.md (ca3db24dd2e087e0e9fc503cb9c5e4e4771979bd)
README.md
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@@ -8,4 +8,390 @@ tags:
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Merge of top 7B models with DARE method
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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 with DARE method
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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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## Eval
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```python
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{
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"all": {
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"acc": 0.6547370286177235,
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"acc_stderr": 0.03204709242170183,
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"acc_norm": 0.6537337854798912,
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"acc_norm_stderr": 0.03272317883588649,
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"mc1": 0.5189718482252142,
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"mc1_stderr": 0.01749089640576236,
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"mc2": 0.6631825155680797,
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"mc2_stderr": 0.01527641053841743
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},
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"harness|arc:challenge|25": {
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"acc": 0.6953924914675768,
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"acc_stderr": 0.013449522109932485,
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"acc_norm": 0.7175767918088737,
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"acc_norm_stderr": 0.013155456884097225
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},
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"harness|hellaswag|10": {
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"acc": 0.7120095598486357,
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"acc_stderr": 0.004519011688417168,
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"acc_norm": 0.8820952001593309,
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"acc_norm_stderr": 0.003218362717491129
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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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| 46 |
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"acc": 0.6296296296296297,
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| 47 |
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"acc_stderr": 0.041716541613545426,
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| 48 |
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"acc_norm": 0.6296296296296297,
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"acc_norm_stderr": 0.041716541613545426
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.7105263157894737,
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| 53 |
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"acc_stderr": 0.03690677986137283,
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| 54 |
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"acc_norm": 0.7105263157894737,
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| 55 |
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"acc_norm_stderr": 0.03690677986137283
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| 56 |
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},
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| 57 |
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"harness|hendrycksTest-business_ethics|5": {
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| 58 |
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"acc": 0.64,
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"acc_stderr": 0.04824181513244218,
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| 60 |
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"acc_norm": 0.64,
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| 61 |
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"acc_norm_stderr": 0.04824181513244218
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| 62 |
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},
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| 63 |
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"harness|hendrycksTest-clinical_knowledge|5": {
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| 64 |
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"acc": 0.7056603773584905,
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| 65 |
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"acc_stderr": 0.02804918631569525,
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| 66 |
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"acc_norm": 0.7056603773584905,
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| 67 |
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"acc_norm_stderr": 0.02804918631569525
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| 68 |
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},
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| 69 |
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"harness|hendrycksTest-college_biology|5": {
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| 70 |
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"acc": 0.7638888888888888,
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| 71 |
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"acc_stderr": 0.03551446610810826,
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| 72 |
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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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| 77 |
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"acc_stderr": 0.050211673156867795,
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| 78 |
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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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| 81 |
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"harness|hendrycksTest-college_computer_science|5": {
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"acc": 0.54,
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| 83 |
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"acc_stderr": 0.05009082659620333,
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| 84 |
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"acc_norm": 0.54,
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| 85 |
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"acc_norm_stderr": 0.05009082659620333
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| 86 |
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},
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| 87 |
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"harness|hendrycksTest-college_mathematics|5": {
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| 88 |
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"acc": 0.31,
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| 89 |
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"acc_stderr": 0.04648231987117316,
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| 90 |
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"acc_norm": 0.31,
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| 91 |
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"acc_norm_stderr": 0.04648231987117316
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| 92 |
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},
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| 93 |
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"harness|hendrycksTest-college_medicine|5": {
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| 94 |
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"acc": 0.6705202312138728,
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| 95 |
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"acc_stderr": 0.03583901754736411,
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| 96 |
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"acc_norm": 0.6705202312138728,
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| 97 |
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"acc_norm_stderr": 0.03583901754736411
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| 98 |
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},
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| 99 |
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"harness|hendrycksTest-college_physics|5": {
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| 100 |
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"acc": 0.4215686274509804,
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| 101 |
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"acc_stderr": 0.04913595201274498,
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| 102 |
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"acc_norm": 0.4215686274509804,
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| 103 |
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"acc_norm_stderr": 0.04913595201274498
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| 104 |
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},
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| 105 |
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"harness|hendrycksTest-computer_security|5": {
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| 106 |
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"acc": 0.78,
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| 107 |
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"acc_stderr": 0.04163331998932263,
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| 108 |
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"acc_norm": 0.78,
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| 109 |
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"acc_norm_stderr": 0.04163331998932263
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| 110 |
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},
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| 111 |
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"harness|hendrycksTest-conceptual_physics|5": {
|
| 112 |
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"acc": 0.5787234042553191,
|
| 113 |
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"acc_stderr": 0.03227834510146268,
|
| 114 |
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"acc_norm": 0.5787234042553191,
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| 115 |
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"acc_norm_stderr": 0.03227834510146268
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| 116 |
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},
|
| 117 |
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"harness|hendrycksTest-econometrics|5": {
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| 118 |
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"acc": 0.5,
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| 119 |
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"acc_stderr": 0.047036043419179864,
|
| 120 |
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"acc_norm": 0.5,
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| 121 |
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"acc_norm_stderr": 0.047036043419179864
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| 122 |
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},
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| 123 |
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"harness|hendrycksTest-electrical_engineering|5": {
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| 124 |
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"acc": 0.5586206896551724,
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| 125 |
+
"acc_stderr": 0.04137931034482758,
|
| 126 |
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"acc_norm": 0.5586206896551724,
|
| 127 |
+
"acc_norm_stderr": 0.04137931034482758
|
| 128 |
+
},
|
| 129 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
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| 130 |
+
"acc": 0.42857142857142855,
|
| 131 |
+
"acc_stderr": 0.02548718714785938,
|
| 132 |
+
"acc_norm": 0.42857142857142855,
|
| 133 |
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"acc_norm_stderr": 0.02548718714785938
|
| 134 |
+
},
|
| 135 |
+
"harness|hendrycksTest-formal_logic|5": {
|
| 136 |
+
"acc": 0.47619047619047616,
|
| 137 |
+
"acc_stderr": 0.04467062628403273,
|
| 138 |
+
"acc_norm": 0.47619047619047616,
|
| 139 |
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"acc_norm_stderr": 0.04467062628403273
|
| 140 |
+
},
|
| 141 |
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"harness|hendrycksTest-global_facts|5": {
|
| 142 |
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"acc": 0.33,
|
| 143 |
+
"acc_stderr": 0.04725815626252604,
|
| 144 |
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"acc_norm": 0.33,
|
| 145 |
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"acc_norm_stderr": 0.04725815626252604
|
| 146 |
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},
|
| 147 |
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"harness|hendrycksTest-high_school_biology|5": {
|
| 148 |
+
"acc": 0.7903225806451613,
|
| 149 |
+
"acc_stderr": 0.023157879349083525,
|
| 150 |
+
"acc_norm": 0.7903225806451613,
|
| 151 |
+
"acc_norm_stderr": 0.023157879349083525
|
| 152 |
+
},
|
| 153 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
| 154 |
+
"acc": 0.4876847290640394,
|
| 155 |
+
"acc_stderr": 0.035169204442208966,
|
| 156 |
+
"acc_norm": 0.4876847290640394,
|
| 157 |
+
"acc_norm_stderr": 0.035169204442208966
|
| 158 |
+
},
|
| 159 |
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"harness|hendrycksTest-high_school_computer_science|5": {
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| 160 |
+
"acc": 0.68,
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| 161 |
+
"acc_stderr": 0.04688261722621505,
|
| 162 |
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"acc_norm": 0.68,
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| 163 |
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"acc_norm_stderr": 0.04688261722621505
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| 164 |
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},
|
| 165 |
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"harness|hendrycksTest-high_school_european_history|5": {
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| 166 |
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"acc": 0.7878787878787878,
|
| 167 |
+
"acc_stderr": 0.03192271569548301,
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| 168 |
+
"acc_norm": 0.7878787878787878,
|
| 169 |
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"acc_norm_stderr": 0.03192271569548301
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| 170 |
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},
|
| 171 |
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"harness|hendrycksTest-high_school_geography|5": {
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| 172 |
+
"acc": 0.797979797979798,
|
| 173 |
+
"acc_stderr": 0.02860620428922987,
|
| 174 |
+
"acc_norm": 0.797979797979798,
|
| 175 |
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"acc_norm_stderr": 0.02860620428922987
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| 176 |
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},
|
| 177 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 178 |
+
"acc": 0.9015544041450777,
|
| 179 |
+
"acc_stderr": 0.021500249576033456,
|
| 180 |
+
"acc_norm": 0.9015544041450777,
|
| 181 |
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"acc_norm_stderr": 0.021500249576033456
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| 182 |
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},
|
| 183 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 184 |
+
"acc": 0.6666666666666666,
|
| 185 |
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| 396 |
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| 397 |
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```
|