---
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.

```
<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: 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.