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---
base_model:
- NeverSleep/Nethena-20B
- Undi95/PsyMedRP-v1-20B
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NeverSleep/Nethena-20B](https://huggingface.co/NeverSleep/Nethena-20B)
* [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Undi95/PsyMedRP-v1-20B
layer_range: [0, 62] # PsyMedRP has 62 layers
- model: NeverSleep/Nethena-20B
layer_range: [0, 62] # Nethena-20B has 62 layers
merge_method: slerp # Changing to SLERP method
base_model: Undi95/PsyMedRP-v1-20B # Focus on reasoning from PsyMedRP
parameters:
t:
- filter: self_attn
value: [.3, .6, .9, .6, .3] # smooth gradient of focus
value: [.3, .6, .9, .6, .3] # consistent level of creativity and abstract reasoning
- value: 0.639
dtype: bfloat16 # Use preferred dtype
```
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