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---
base_model:
- Open-Orca/Mistral-7B-OpenOrca
- mlabonne/NeuralBeagle14-7B
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mlabonne/NeuralBeagle14-7B
parameters:
weight: 0.7
- model: Open-Orca/Mistral-7B-OpenOrca
parameters:
weight: 0.3
merge_method: linear
dtype: float16
# slices:
# - sources:
# - model: Open-Orca/Mistral-7B-OpenOrca
# layer_range: [0, 32]
# - model: mlabonne/NeuralBeagle14-7B
# layer_range: [0, 32]
# merge_method: slerp
# base_model: Open-Orca/Mistral-7B-OpenOrca
# 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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