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---
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- merge
---
Merge of top 7B models and the SLERP of other 7B models
> 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.
>
> ## Eval
> ```python
> {
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"acc_stderr": 0.031918970852064334,
"acc_norm": 0.6561506230894164,
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"mc2": 0.6447306680251751,
"mc2_stderr": 0.015519245883344577
},
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"acc_norm": 0.7090443686006825,
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},
"harness|hellaswag|10": {
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"acc_norm_stderr": 0.0032429275808698544
},
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"acc_norm": 0.33,
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},
"harness|hendrycksTest-anatomy|5": {
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"harness|hendrycksTest-astronomy|5": {
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"acc_stderr": 0.03690677986137283,
"acc_norm": 0.7105263157894737,
"acc_norm_stderr": 0.03690677986137283
},
"harness|hendrycksTest-business_ethics|5": {
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"acc_norm": 0.65,
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},
"harness|hendrycksTest-clinical_knowledge|5": {
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"acc_norm_stderr": 0.02825420034443866
},
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"acc_norm": 0.7638888888888888,
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},
"harness|hendrycksTest-college_chemistry|5": {
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"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|hendrycksTest-college_computer_science|5": {
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"acc_norm": 0.56,
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"harness|hendrycksTest-college_mathematics|5": {
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"acc_norm": 0.27,
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},
"harness|hendrycksTest-computer_security|5": {
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"acc_norm": 0.75,
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},
"harness|hendrycksTest-conceptual_physics|5": {
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"acc_norm": 0.5787234042553191,
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},
"harness|hendrycksTest-econometrics|5": {
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"acc_norm": 0.48412698412698413,
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},
"harness|hendrycksTest-global_facts|5": {
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"acc_norm": 0.33,
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"acc_norm": 0.7838709677419354,
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"harness|hendrycksTest-high_school_chemistry|5": {
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc_norm": 0.67,
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"harness|hendrycksTest-high_school_european_history|5": {
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc_norm": 0.34814814814814815,
"acc_norm_stderr": 0.029045600290616255
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"acc_norm": 0.680672268907563,
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc_norm": 0.8385321100917431,
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},
"harness|hendrycksTest-high_school_statistics|5": {
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"acc_stderr": 0.03408655867977749,
"acc_norm": 0.5138888888888888,
"acc_norm_stderr": 0.03408655867977749
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"harness|hendrycksTest-high_school_us_history|5": {
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"acc_norm": 0.8578431372549019,
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},
"harness|hendrycksTest-high_school_world_history|5": {
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"harness|hendrycksTest-human_aging|5": {
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"harness|hendrycksTest-management|5": {
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"harness|hendrycksTest-nutrition|5": {
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"harness|hendrycksTest-us_foreign_policy|5": {
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"harness|hendrycksTest-world_religions|5": {
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"harness|truthfulqa:mc|0": {
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"harness|winogrande|5": {
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"harness|gsm8k|5": {
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}
}
```