--- base_model: - mistralai/Mixtral-8x7B-v0.1 - Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora - mistralai/Mixtral-8x7B-v0.1 - LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA - rombodawg/Open_Gpt4_8x7B_v0.2 - mistralai/Mixtral-8x7B-Instruct-v0.1 - mistralai/Mixtral-8x7B-v0.1 - Sao10K/Typhon-Mixtral-v1 tags: - mergekit - merge --- # mergeout 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/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base. ### Models Merged The following models were included in the merge: * [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora) * [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA](https://huggingface.co/LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA) * [rombodawg/Open_Gpt4_8x7B_v0.2](https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2) * [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) * [Sao10K/Typhon-Mixtral-v1](https://huggingface.co/Sao10K/Typhon-Mixtral-v1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: mistralai/Mixtral-8x7B-Instruct-v0.1 parameters: density: 0.6 weight: 1.0 - model: rombodawg/Open_Gpt4_8x7B_v0.2 parameters: density: 0.5 weight: 0.8 - model: mistralai/Mixtral-8x7B-v0.1+LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA parameters: density: 0.5 weight: 0.6 - model: Sao10K/Typhon-Mixtral-v1 parameters: density: 0.5 weight: 0.7 - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora parameters: density: 0.5 weight: 0.4 merge_method: dare_ties base_model: mistralai/Mixtral-8x7B-v0.1 parameters: normalize: true int8_mask: true dtype: bfloat16 name: Mega-Destroyer-8x7B ```