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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: unknown |
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--- |
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# MiquSuperdark-70B-v1 |
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#### This model is outperformed by [MiquSuperdark-70B-v2](https://huggingface.co/ddh0/MiquSuperdark-70B-v2) - prefer that model over this model in all cases. |
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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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## Prompt format |
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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. |
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``` |
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<message from="system">{your system prompt here}</message><message from="user">{user prompt here}</message><message from="bot">{bot response here}</message><message from="user">{user prompt here}</message><message from="bot">{bot response here}</message> [... and so on ...] |
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``` |
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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. |
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## Merge Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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merge_method: dare_linear |
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base_model: /home/dylan/Documents/AI/merge/miqu-1-70b-sf |
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models: |
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- model: /media/dylan/SanDisk/LLMs/Midnight-Miqu-70B-v1.5 |
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parameters: |
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weight: 0.4 |
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- model: /home/dylan/Documents/AI/merge/miqu-1-70b-sf |
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parameters: |
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weight: 0.2 |
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- model: /media/dylan/SanDisk/LLMs/miqu-evil-dpo/ |
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parameters: |
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weight: 0.2 |
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- model: /home/dylan/Documents/AI/merge/MiquMaid-v3-70B |
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parameters: |
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weight: 0.2 |
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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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The tokenizer is copied from the base model [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf). |
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#### This model is outperformed by [MiquSuperdark-70B-v2](https://huggingface.co/ddh0/MiquSuperdark-70B-v2) - prefer that model over this model in all cases. |
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