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---
base_model:
- jondurbin/bagel-dpo-34b-v0.2
- one-man-army/UNA-34Beagles-32K-bf16-v1
tags:
- mergekit
- merge
license: mit
---
# merged
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:
* [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
* [one-man-army/UNA-34Beagles-32K-bf16-v1](https://huggingface.co/one-man-army/UNA-34Beagles-32K-bf16-v1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: jondurbin/bagel-dpo-34b-v0.2
dtype: float16
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, 60]
model: jondurbin/bagel-dpo-34b-v0.2
- layer_range: [0, 60]
model: one-man-army/UNA-34Beagles-32K-bf16-v1
``` |