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---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- meta-math/MetaMath-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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as a base.
### Models Merged
The following models were included in the merge:
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
# No additional parameters needed for the base model
- model: meta-math/MetaMath-Mistral-7B
parameters:
density: 0.7 # A higher density for MetaMath to prioritize its parameters for math questions
weight: 0.7 # Higher weight to MetaMath to ensure its influence on math-related answers is strong
merge_method: ties
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
normalize: true
dtype: float16
```
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