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---
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
```
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