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---
base_model:
- cognitivecomputations/dolphin-2.6-mistral-7b
- Equall/Saul-Instruct-v1
- BioMistral/BioMistral-7B-SLERP
- mlabonne/NeuralBeagle14-7B
library_name: transformers
tags:
- mergekit
- merge
license: mit
---
# med-law-dolphin-beagle-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 breadcrumbs merge method using [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) as a base.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.6-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b)
* [Equall/Saul-Instruct-v1](https://huggingface.co/Equall/Saul-Instruct-v1)
* [BioMistral/BioMistral-7B-SLERP](https://huggingface.co/BioMistral/BioMistral-7B-SLERP)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Equall/Saul-Instruct-v1
parameters:
weight: 1.0
- model: BioMistral/BioMistral-7B-SLERP
parameters:
weight: 1.0
- model: cognitivecomputations/dolphin-2.6-mistral-7b
parameters:
weight: 0.5
merge_method: breadcrumbs
base_model: mlabonne/NeuralBeagle14-7B
parameters:
density: 0.9
gamma: 0.01
dtype: float16
``` |