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---
base_model:
- SanjiWatsuki/Silicon-Maid-7B
- sethuiyer/Aika-7B
- sethuiyer/Nandine-7b
- mlabonne/AlphaMonarch-7B
library_name: transformers
tags:
- mergekit
- merge
---
# Diana-7B
Diana-7B is a versatile AI language model designed to provide a wide range of capabilities, including conversational skills, problem-solving, information retrieval, creative writing, and logical reasoning.
It is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
1. mlabonne/AlphaMonarch-7B: This model has impressive conversational abilities, formal and sophisticated style, and strong reasoning skills.
2. sethuiyer/Aika-7b: A merge of SanjiWatsuki/Silicon-Maid-7B, Guilherme34/Samantha-v2, jan-hq/stealth-v1.3, and senseable/WestLake-7B-v2, Aika-7b is designed for natural and human-like interactions, accurate information delivery, comprehensive analysis, emotional intelligence, clarity, and structure.
3. SanjiWatsuki/Silicon-Maid-7B: This model is known for its excellent multi-turn conversational skills and logical coherence.
4. sethuiyer/Nandine-7b: A merge of senseable/Westlake-7B, Guilherme34/Samantha-v2, and uukuguy/speechless-mistral-six-in-one-7b, Nandine-7b excels in narrative skill, empathetic interaction, intellectual depth, and eloquent communication.
By combining these models, Diana-7B offers a balanced blend of capabilities, making it suitable for various tasks and providing a comprehensive AI companion for creative writing, thoughtful discussions, problem-solving, and general assistance. However, it is essential to note that each model has its strengths and weaknesses, as outlined in the descriptions above.
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: mlabonne/AlphaMonarch-7B
dtype: bfloat16
merge_method: dare_ties
models:
- model: mlabonne/AlphaMonarch-7B
- model: sethuiyer/Aika-7B
parameters:
density: 0.85
weight: 0.30
- model: SanjiWatsuki/Silicon-Maid-7B
parameters:
density: 0.85
weight: 0.50
- model: sethuiyer/Nandine-7b
parameters:
density: 0.85
weight: 0.30
parameters:
int8_mask: true
```
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