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---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- Vikhrmodels/it-5.4-fp16-orpo-v2
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:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [Vikhrmodels/it-5.4-fp16-orpo-v2](https://huggingface.co/Vikhrmodels/it-5.4-fp16-orpo-v2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Vikhrmodels/it-5.4-fp16-orpo-v2
layer_range:
- 0
- 32
- model: Sao10K/L3-8B-Stheno-v3.2
layer_range:
- 0
- 32
merge_method: slerp
base_model: Vikhrmodels/it-5.4-fp16-orpo-v2
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
dtype: bfloat16
tokenizer_source: Vikhrmodels/it-5.4-fp16-orpo-v2
```