--- base_model: - monology/mixtral-slerp0 - monology/mixtral-slerp5 - monology/mixtral-slerp6 - monology/mixtral-slerp2 - mistralai/Mistral-7B-v0.1 - monology/mixtral-slerp3 - monology/mixtral-slerp7 - monology/mixtral-slerp4 - monology/mixtral-slerp1 library_name: transformers tags: - mergekit - merge license: apache-2.0 --- # mixtral-ties For experimental purposes. Probably not very good. 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-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base. ### Models Merged The following models were included in the merge: * [monology/mixtral-slerp0](https://huggingface.co/monology/mixtral-slerp0) * [monology/mixtral-slerp5](https://huggingface.co/monology/mixtral-slerp5) * [monology/mixtral-slerp6](https://huggingface.co/monology/mixtral-slerp6) * [monology/mixtral-slerp2](https://huggingface.co/monology/mixtral-slerp2) * [monology/mixtral-slerp3](https://huggingface.co/monology/mixtral-slerp3) * [monology/mixtral-slerp7](https://huggingface.co/monology/mixtral-slerp7) * [monology/mixtral-slerp4](https://huggingface.co/monology/mixtral-slerp4) * [monology/mixtral-slerp1](https://huggingface.co/monology/mixtral-slerp1) ### 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: monology/mixtral-slerp0 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp1 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp2 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp3 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp4 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp5 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp6 parameters: density: 0.5 weight: 0.1 - model: monology/mixtral-slerp7 parameters: density: 0.5 weight: 0.1 merge_method: ties base_model: mistralai/Mistral-7B-v0.1 parameters: normalize: true dtype: float16 ```