|
--- |
|
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 |
|
``` |
