m80 / README.md
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---
base_model:
- Gaivoronsky/Mistral-7B-Saiga
- cognitivecomputations/dolphin-2.2.1-mistral-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:
* [Gaivoronsky/Mistral-7B-Saiga](https://huggingface.co/Gaivoronsky/Mistral-7B-Saiga)
* [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Gaivoronsky/Mistral-7B-Saiga
layer_range:
- 0
- 32
- model: cognitivecomputations/dolphin-2.2.1-mistral-7b
layer_range:
- 0
- 32
merge_method: slerp
base_model: Gaivoronsky/Mistral-7B-Saiga
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
```