| 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 | |
| ``` | |