--- base_model: - sophosympatheia/Midnight-Miqu-70B-v1.5 - NeverSleep/MiquMaid-v3-70B - maywell/miqu-evil-dpo - 152334H/miqu-1-70b-sf library_name: transformers tags: - mergekit - merge license: unknown --- # MiquSuperdark-70B-v1 #### This model is outperformed by [MiquSuperdark-70B-v2](https://huggingface.co/ddh0/MiquSuperdark-70B-v2) - prefer that model over this model in all cases. **MiquSuperdark-70B-v1** is a merge of three of the most popular Miqu-derived models, along with Miqu itself. The goal of the merge is to create an strong, well-rounded chat model that picks up desirable traits from its constituent models without sacrificing intelligence. This is a DARE Linear merge with the following composition: - [sophosympatheia/Midnight-Miqu-70B-v1.5](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5) at weight 0.4 - [NeverSleep/MiquMaid-v3-70B](https://huggingface.co/NeverSleep/MiquMaid-v3-70B) at weight 0.2 - [maywell/miqu-evil-dpo](https://huggingface.co/maywell/miqu-evil-dpo) at weight 0.2 - [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) at weight 0.2 (used as base model) DARE Linear was chosen as the merge method based on [this HF discussion](https://huggingface.co/jukofyork/Dark-Miqu-70B/discussions/2), in which the creator of Midnight-Miqu says "*in my own testing I consistently got the best results from using a dare_linear merge when working with miqu models*". ## Merge Configuration The following YAML configuration was used to produce this model: ```yaml merge_method: dare_linear base_model: /home/dylan/Documents/AI/merge/miqu-1-70b-sf models: - model: /media/dylan/SanDisk/LLMs/Midnight-Miqu-70B-v1.5 parameters: weight: 0.4 - model: /home/dylan/Documents/AI/merge/miqu-1-70b-sf parameters: weight: 0.2 - model: /media/dylan/SanDisk/LLMs/miqu-evil-dpo/ parameters: weight: 0.2 - model: /home/dylan/Documents/AI/merge/MiquMaid-v3-70B parameters: weight: 0.2 dtype: float16 tokenizer_source: model:/home/dylan/Documents/AI/merge/miqu-1-70b-sf ``` The tokenizer is copied from the base model [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf). #### This model is outperformed by [MiquSuperdark-70B-v2](https://huggingface.co/ddh0/MiquSuperdark-70B-v2) - prefer that model over this model in all cases.