--- base_model: - sophosympatheia/Midnight-Miqu-70B-v1.5 - NeverSleep/MiquMaid-v3-70B - maywell/miqu-evil-dpo library_name: transformers tags: - mergekit - merge license: unknown --- # MiquSuperdark-70B-v2 **MiquSuperdark-70B-v2** is a merge of three of the most popular Miqu-derived models. 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 linear merge with the following composition: - [sophosympatheia/Midnight-Miqu-70B-v1.5](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5) at weight 0.5 - [NeverSleep/MiquMaid-v3-70B](https://huggingface.co/NeverSleep/MiquMaid-v3-70B) at weight 0.3 - [maywell/miqu-evil-dpo](https://huggingface.co/maywell/miqu-evil-dpo) at weight 0.2 ## Prompt format The model responds well to general-purpose prompt formats such as Alpaca. Alternatively, I suggest trying the following format, replacing `{the placeholder text}` with your actual messages, without curly brackets. ``` {your system prompt here}{user prompt here}{bot response here}{user prompt here}{bot response here} [... and so on ...] ``` This format is readily understood by the model, and leads to the expected high-quality responses. Note the lack of newlines `\n` - they are not necessary and might actually make it harder for the model to follow along. ## Merge Configuration The following YAML configuration was used to produce this model: ```yaml merge_method: linear base_model: /media/dylan/SanDisk/LLMs/Midnight-Miqu-70B-v1.5 models: - model: /media/dylan/SanDisk/LLMs/Midnight-Miqu-70B-v1.5 parameters: weight: 0.5 - model: /home/dylan/Documents/AI/merge/MiquMaid-v3-70B parameters: weight: 0.3 - model: /media/dylan/SanDisk/LLMs/miqu-evil-dpo/ parameters: weight: 0.2 dtype: float16 ``` The tokenizer from [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) is used.