---
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*".

## Prompt format
The model responds well to general-purpose prompt formats such as Alpaca. Alternatively, I suggest trying the following format:

```
<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 ...]
```

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: 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.