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---
base_model:
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
- mlabonne/AlphaMonarch-7B
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:
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: mlabonne/AlphaMonarch-7B #mistralai/Mistral-7B-Instruct-v0.2
layer_range: [0, 32]
# - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
# layer_range: [0, 32]
# - model: mlabonne/AlphaMonarch-7B
# layer_range: [0, 32]
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
layer_range: [0, 32]
#mlabonne/AlphaMonarch-7B
merge_method: slerp
base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02 #mistralai/Mistral-7B-Instruct-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
dtype: bfloat16
```
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