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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# dostoevsky_slerp
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:
* models/saiga_nemo_12b_sft_m10_d16_simpo_m23_d36
* models/dostoevsky_nemo_simpo_m24_d14
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: models/dostoevsky_nemo_simpo_m24_d14
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 40]
model: models/saiga_nemo_12b_sft_m10_d16_simpo_m23_d36
- layer_range: [0, 40]
model: models/dostoevsky_nemo_simpo_m24_d14
```
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