---
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

```