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Update README.md (#1)
Browse files- Update README.md (cc29e273d00bd9e6f218ce2cf9e899f0ebf48a6e)
README.md
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@@ -11,3 +11,387 @@ tags:
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Merge of top 7B models with SLERP 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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| 11 |
Merge of top 7B models with SLERP method.
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| 12 |
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| 13 |
> 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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| 18 |
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"all": {
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| 19 |
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"acc": 0.6545868511485138,
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| 20 |
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"acc_stderr": 0.031980293841566164,
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| 21 |
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"acc_norm": 0.6542757501692061,
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| 22 |
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"acc_norm_stderr": 0.03263807517879597,
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| 23 |
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"mc1": 0.45165238678090575,
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| 24 |
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"mc1_stderr": 0.017421480300277643,
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| 25 |
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"mc2": 0.6217500644350165,
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| 26 |
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"mc2_stderr": 0.015583825644663436
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},
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| 28 |
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"harness|arc:challenge|25": {
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| 29 |
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"acc": 0.6723549488054608,
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| 30 |
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"acc_stderr": 0.01371584794071934,
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| 31 |
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"acc_norm": 0.6945392491467577,
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| 32 |
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"acc_norm_stderr": 0.01346008047800251
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},
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| 34 |
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"harness|hellaswag|10": {
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| 35 |
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"acc": 0.7046405098585939,
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| 36 |
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"acc_stderr": 0.0045527183605131,
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| 37 |
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"acc_norm": 0.871539533957379,
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| 38 |
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"acc_norm_stderr": 0.0033391798350182853
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| 39 |
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},
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| 40 |
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"harness|hendrycksTest-abstract_algebra|5": {
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| 41 |
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"acc": 0.37,
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| 42 |
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"acc_stderr": 0.048523658709391,
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| 43 |
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"acc_norm": 0.37,
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| 44 |
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"acc_norm_stderr": 0.048523658709391
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| 45 |
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},
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| 46 |
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"harness|hendrycksTest-anatomy|5": {
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| 47 |
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"acc": 0.6148148148148148,
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| 48 |
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"acc_stderr": 0.04203921040156279,
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| 49 |
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"acc_norm": 0.6148148148148148,
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| 50 |
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"acc_norm_stderr": 0.04203921040156279
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| 51 |
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},
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| 52 |
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"harness|hendrycksTest-astronomy|5": {
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| 53 |
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"acc": 0.6907894736842105,
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| 54 |
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"acc_stderr": 0.037610708698674805,
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| 55 |
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"acc_norm": 0.6907894736842105,
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| 56 |
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"acc_norm_stderr": 0.037610708698674805
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| 57 |
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},
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| 58 |
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"harness|hendrycksTest-business_ethics|5": {
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| 59 |
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"acc": 0.63,
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| 60 |
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"acc_stderr": 0.04852365870939099,
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| 61 |
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"acc_norm": 0.63,
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| 62 |
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"acc_norm_stderr": 0.04852365870939099
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| 63 |
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},
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| 64 |
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"harness|hendrycksTest-clinical_knowledge|5": {
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| 65 |
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"acc": 0.7132075471698113,
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| 66 |
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"acc_stderr": 0.02783491252754407,
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| 67 |
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"acc_norm": 0.7132075471698113,
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| 68 |
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"acc_norm_stderr": 0.02783491252754407
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| 69 |
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},
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| 70 |
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"harness|hendrycksTest-college_biology|5": {
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| 71 |
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"acc": 0.7638888888888888,
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| 72 |
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"acc_stderr": 0.03551446610810826,
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| 73 |
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"acc_norm": 0.7638888888888888,
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| 74 |
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"acc_norm_stderr": 0.03551446610810826
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| 75 |
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},
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| 76 |
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"harness|hendrycksTest-college_chemistry|5": {
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| 77 |
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"acc": 0.47,
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| 78 |
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"acc_stderr": 0.050161355804659205,
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| 79 |
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"acc_norm": 0.47,
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| 80 |
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"acc_norm_stderr": 0.050161355804659205
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| 81 |
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},
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| 82 |
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"harness|hendrycksTest-college_computer_science|5": {
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| 83 |
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"acc": 0.57,
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| 84 |
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"acc_stderr": 0.04975698519562428,
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| 85 |
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"acc_norm": 0.57,
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| 86 |
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"acc_norm_stderr": 0.04975698519562428
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| 87 |
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},
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| 88 |
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"harness|hendrycksTest-college_mathematics|5": {
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| 89 |
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"acc": 0.27,
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| 90 |
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"acc_stderr": 0.0446196043338474,
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| 91 |
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"acc_norm": 0.27,
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| 92 |
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"acc_norm_stderr": 0.0446196043338474
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| 93 |
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},
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| 94 |
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"harness|hendrycksTest-college_medicine|5": {
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| 95 |
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"acc": 0.6820809248554913,
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| 96 |
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"acc_stderr": 0.0355068398916558,
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| 97 |
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"acc_norm": 0.6820809248554913,
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| 98 |
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"acc_norm_stderr": 0.0355068398916558
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| 99 |
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},
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| 100 |
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"harness|hendrycksTest-college_physics|5": {
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| 101 |
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"acc": 0.4019607843137255,
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| 102 |
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"acc_stderr": 0.04878608714466996,
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| 103 |
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"acc_norm": 0.4019607843137255,
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| 104 |
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"acc_norm_stderr": 0.04878608714466996
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| 105 |
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},
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| 106 |
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"harness|hendrycksTest-computer_security|5": {
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| 107 |
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"acc": 0.77,
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| 108 |
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"acc_stderr": 0.04229525846816506,
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| 109 |
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"acc_norm": 0.77,
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| 110 |
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"acc_norm_stderr": 0.04229525846816506
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| 111 |
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},
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| 112 |
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"harness|hendrycksTest-conceptual_physics|5": {
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| 113 |
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"acc": 0.5829787234042553,
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| 114 |
+
"acc_stderr": 0.03223276266711712,
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| 115 |
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"acc_norm": 0.5829787234042553,
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| 116 |
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"acc_norm_stderr": 0.03223276266711712
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| 117 |
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},
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| 118 |
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"harness|hendrycksTest-econometrics|5": {
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| 119 |
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"acc": 0.5175438596491229,
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| 120 |
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"acc_stderr": 0.04700708033551038,
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| 121 |
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"acc_norm": 0.5175438596491229,
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| 122 |
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"acc_norm_stderr": 0.04700708033551038
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| 123 |
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},
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| 124 |
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"harness|hendrycksTest-electrical_engineering|5": {
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| 125 |
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"acc": 0.5586206896551724,
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| 126 |
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"acc_stderr": 0.04137931034482757,
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| 127 |
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"acc_norm": 0.5586206896551724,
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| 128 |
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"acc_norm_stderr": 0.04137931034482757
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| 129 |
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},
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| 130 |
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"harness|hendrycksTest-elementary_mathematics|5": {
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| 131 |
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"acc": 0.41798941798941797,
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| 132 |
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"acc_stderr": 0.025402555503260912,
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| 133 |
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"acc_norm": 0.41798941798941797,
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| 134 |
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"acc_norm_stderr": 0.025402555503260912
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| 135 |
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},
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| 136 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 137 |
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"acc": 0.47619047619047616,
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| 138 |
+
"acc_stderr": 0.04467062628403273,
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| 139 |
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"acc_norm": 0.47619047619047616,
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| 140 |
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"acc_norm_stderr": 0.04467062628403273
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| 141 |
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},
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| 142 |
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"harness|hendrycksTest-global_facts|5": {
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| 143 |
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"acc": 0.34,
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| 144 |
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"acc_stderr": 0.04760952285695235,
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| 145 |
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"acc_norm": 0.34,
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| 146 |
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"acc_norm_stderr": 0.04760952285695235
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| 147 |
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},
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| 148 |
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"harness|hendrycksTest-high_school_biology|5": {
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| 149 |
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"acc": 0.7903225806451613,
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| 150 |
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"acc_stderr": 0.023157879349083522,
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| 151 |
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"acc_norm": 0.7903225806451613,
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| 152 |
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"acc_norm_stderr": 0.023157879349083522
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| 153 |
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},
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| 154 |
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"harness|hendrycksTest-high_school_chemistry|5": {
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| 155 |
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"acc": 0.4975369458128079,
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| 156 |
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"acc_stderr": 0.03517945038691063,
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| 157 |
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"acc_norm": 0.4975369458128079,
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| 158 |
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"acc_norm_stderr": 0.03517945038691063
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| 159 |
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},
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| 160 |
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"harness|hendrycksTest-high_school_computer_science|5": {
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| 161 |
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"acc": 0.68,
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| 162 |
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"acc_stderr": 0.04688261722621505,
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| 163 |
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"acc_norm": 0.68,
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| 164 |
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"acc_norm_stderr": 0.04688261722621505
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| 165 |
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},
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| 166 |
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"harness|hendrycksTest-high_school_european_history|5": {
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| 167 |
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"acc": 0.7696969696969697,
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| 168 |
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"acc_stderr": 0.0328766675860349,
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| 169 |
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"acc_norm": 0.7696969696969697,
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| 170 |
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"acc_norm_stderr": 0.0328766675860349
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| 171 |
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},
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| 172 |
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"harness|hendrycksTest-high_school_geography|5": {
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| 173 |
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"acc": 0.7828282828282829,
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| 174 |
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"acc_stderr": 0.029376616484945633,
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| 175 |
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"acc_norm": 0.7828282828282829,
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| 176 |
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"acc_norm_stderr": 0.029376616484945633
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| 177 |
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},
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| 178 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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| 179 |
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"acc": 0.9015544041450777,
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| 180 |
+
"acc_stderr": 0.021500249576033456,
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| 181 |
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"acc_norm": 0.9015544041450777,
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| 182 |
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"acc_norm_stderr": 0.021500249576033456
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| 183 |
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},
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| 184 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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| 185 |
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"acc": 0.6717948717948717,
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| 186 |
+
"acc_stderr": 0.023807633198657266,
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| 187 |
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| 396 |
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}
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| 397 |
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```
|