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---
base_model: []
tags:
- mergekit
- merge
---
# Bagel-Hermes-34B-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:
* Nous-Hermes-2-Yi-34B
* bagel-dpo-34b-v0.2
* nontoxic-bagel-34b-v0.2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: bagel-dpo-34b-v0.2
layer_range: [0, 60]
- model: Nous-Hermes-2-Yi-34B
layer_range: [0, 60]
merge_method: slerp
base_model: nontoxic-bagel-34b-v0.2
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
tokenizer_source: union
dtype: bfloat16
```
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