| base_model: | |
| - BioMistral/BioMistral-7B-DARE | |
| - mistralai/Mistral-7B-v0.1 | |
| - VAGOsolutions/SauerkrautLM-7b-HerO | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # output-directory | |
| 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [BioMistral/BioMistral-7B-DARE](https://huggingface.co/BioMistral/BioMistral-7B-DARE) | |
| * [VAGOsolutions/SauerkrautLM-7b-HerO](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: mistralai/Mistral-7B-v0.1 | |
| # No parameters necessary for base model | |
| - model: VAGOsolutions/SauerkrautLM-7b-HerO | |
| parameters: | |
| density: 0.5 | |
| weight: 0.6 | |
| - model: BioMistral/BioMistral-7B-DARE | |
| parameters: | |
| density: 0.5 | |
| weight: 0.4 | |
| merge_method: dare_ties | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |
| ``` | |