| base_model: | |
| - alpindale/Mistral-7B-v0.2-hf | |
| - mistralai/Mistral-7B-Instruct-v0.2 | |
| - SanjiWatsuki/Kunoichi-DPO-v2-7B | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # Kunoichi-DPO-v2-32k-7B | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| This hopefully gives 32k context for Kunoichi-DPO-v2 model though since it also uses the instruct model it might change its behavior somewhat. | |
| Merge script copied from this [ichigoberry/pandafish-2-7b-32k](https://huggingface.co/ichigoberry/pandafish-2-7b-32k). | |
| ## 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 [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | |
| * [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: alpindale/Mistral-7B-v0.2-hf | |
| # No parameters necessary for base model | |
| - model: mistralai/Mistral-7B-Instruct-v0.2 | |
| parameters: | |
| density: 0.53 | |
| weight: 0.4 | |
| - model: SanjiWatsuki/Kunoichi-DPO-v2-7B | |
| parameters: | |
| density: 0.53 | |
| weight: 0.4 | |
| merge_method: dare_ties | |
| base_model: alpindale/Mistral-7B-v0.2-hf | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |
| ``` | |