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  ---
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- base_model: []
 
 
 
 
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  library_name: transformers
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  tags:
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  - mergekit
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  - merge
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-
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  ---
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  # MiquSuperdark-70B-v1
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- This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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-
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- ## Merge Details
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- ### Merge Method
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- This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using /home/dylan/Documents/AI/merge/miqu-1-70b-sf as a base.
 
 
 
 
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- ### Models Merged
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- The following models were included in the merge:
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- * /home/dylan/Documents/AI/merge/MiquMaid-v3-70B
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- * /media/dylan/SanDisk/LLMs/miqu-evil-dpo/
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- * /media/dylan/SanDisk/LLMs/Midnight-Miqu-70B-v1.5
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-
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- ### Configuration
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  The following YAML configuration was used to produce this model:
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@@ -45,3 +45,5 @@ models:
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  dtype: float16
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  tokenizer_source: model:/home/dylan/Documents/AI/merge/miqu-1-70b-sf
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  ```
 
 
 
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  ---
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+ base_model:
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+ - sophosympatheia/Midnight-Miqu-70B-v1.5
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+ - NeverSleep/MiquMaid-v3-70B
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+ - maywell/miqu-evil-dpo
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+ - 152334H/miqu-1-70b-sf
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  library_name: transformers
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  tags:
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  - mergekit
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  - merge
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+ license: other
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  ---
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  # MiquSuperdark-70B-v1
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+ **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.
 
 
 
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+ This is a DARE Linear merge with the following composition:
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+ - [sophosympatheia/Midnight-Miqu-70B-v1.5](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5) at weight 0.4
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+ - [NeverSleep/MiquMaid-v3-70B](https://huggingface.co/NeverSleep/MiquMaid-v3-70B) at weight 0.2
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+ - [maywell/miqu-evil-dpo](https://huggingface.co/maywell/miqu-evil-dpo) at weight 0.2
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+ - [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) at weight 0.2 (used as base model)
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+ 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*".
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+ ## Merge Configuration
 
 
 
 
 
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  The following YAML configuration was used to produce this model:
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  dtype: float16
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  tokenizer_source: model:/home/dylan/Documents/AI/merge/miqu-1-70b-sf
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  ```
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+
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+ The tokenizer is copied from the base model [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf).