---
base_model:
- ChaoticNeutrals/RP_Vision_7B
- ResplendentAI/DaturaCookie_7B
- ResplendentAI/Persephone_7B
- ResplendentAI/Aura_v3_7B
- kainatq/Kainoverse-7b-v0.1
- ResplendentAI/Asherah_7B
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [kainatq/Kainoverse-7b-v0.1](https://huggingface.co/kainatq/Kainoverse-7b-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [ChaoticNeutrals/RP_Vision_7B](https://huggingface.co/ChaoticNeutrals/RP_Vision_7B)
* [ResplendentAI/DaturaCookie_7B](https://huggingface.co/ResplendentAI/DaturaCookie_7B)
* [ResplendentAI/Persephone_7B](https://huggingface.co/ResplendentAI/Persephone_7B)
* [ResplendentAI/Aura_v3_7B](https://huggingface.co/ResplendentAI/Aura_v3_7B)
* [ResplendentAI/Asherah_7B](https://huggingface.co/ResplendentAI/Asherah_7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: kainatq/Kainoverse-7b-v0.1
    # Base model, no parameters necessary
  - model: ResplendentAI/Aura_v3_7B
    parameters:
      density: 0.5
      weight: 0.8  # Increased weight for potentially better general performance
  - model: ResplendentAI/DaturaCookie_7B
    parameters:
      density: 0.5
      weight: 0.7  # Strong, but less than Aura_v3_7B for diversity
  - model: ResplendentAI/Asherah_7B
    parameters:
      density: 0.5
      weight: 0.6  # Slightly lower weight for a balanced contribution
  - model: ResplendentAI/Persephone_7B
    parameters:
      density: 0.5
      weight: 0.5  # Reduced weight for minor adjustment or specific fine-tuning
  - model: ChaoticNeutrals/RP_Vision_7B
    parameters:
      density: 0.5
      weight: 0.6  # Balanced weight for specialized capabilities

merge_method: dare_ties

base_model: kainatq/Kainoverse-7b-v0.1
parameters:
  normalize: false
  int8_mask: true

dtype: float16

```