---
base_model:
- ReadyArt/Forgotten-Safeword-24B-3.6
- huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- mistralai/Mistral-Small-24B-Base-2501
- TheDrummer/Cydonia-24B-v2.1
- PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
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 TIES](https://arxiv.org/abs/2311.03099) merge method using [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501) as a base.

### Models Merged

The following models were included in the merge:
* [ReadyArt/Forgotten-Safeword-24B-3.6](https://huggingface.co/ReadyArt/Forgotten-Safeword-24B-3.6)
* [huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated](https://huggingface.co/huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated)
* [TheDrummer/Cydonia-24B-v2.1](https://huggingface.co/TheDrummer/Cydonia-24B-v2.1)
* [PocketDoc/Dans-PersonalityEngine-V1.2.0-24b](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-Small-24B-Base-2501
    # No parameters necessary for the base model
  - model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
    parameters:
      density: 0.5  # Retaining 50% of this model's parameters
      weight: 0.1   # Lower influence
  - model: TheDrummer/Cydonia-24B-v2.1  # Highest influence
    parameters:
      density: 0.9  # Retaining 90% of this model's parameters
      weight: 0.4   # Highest influence
  - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b  # Second highest influence
    parameters:
      density: 0.7  # Retaining 70% of this model's parameters
      weight: 0.3   # Second highest influence
  - model: ReadyArt/Forgotten-Safeword-24B-3.6
    parameters:
      density: 0.6  # Retaining 60% of this model's parameters
      weight: 0.2   # Moderate influence

merge_method: dare_ties
base_model: mistralai/Mistral-Small-24B-Base-2501
parameters:
  normalize: true  # Normalizes parameter scaling for consistency
  int8_mask: true  # Optimizes for memory-efficient int8 operations
dtype: bfloat16  # Maintains computations in bfloat16 for performance efficiency
```