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---
base_model:
- NousResearch/Yarn-Mistral-7b-128k
- meta-math/MetaMath-Mistral-7B
- David-Xu/Mistral-7B-Instruct-v0.2
- OpenBuddy/openbuddy-mistral-7b-v13.1
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [David-Xu/Mistral-7B-Instruct-v0.2](https://huggingface.co/David-Xu/Mistral-7B-Instruct-v0.2) as a base.
### Models Merged
The following models were included in the merge:
* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
* [OpenBuddy/openbuddy-mistral-7b-v13.1](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: David-Xu/Mistral-7B-Instruct-v0.2
#no parameters necessary for base model
- model: OpenBuddy/openbuddy-mistral-7b-v13.1
parameters:
density: 0.25
weight: 0.25
- model: NousResearch/Yarn-Mistral-7b-128k
parameters:
density: 0.25
weight: 0.25
- model: meta-math/MetaMath-Mistral-7B
parameters:
density: 0.25
weight: 0.25
merge_method: ties
base_model: David-Xu/Mistral-7B-Instruct-v0.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```
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