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---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- LeroyDyer/Mixtral_AI_Cyber_3.0
- LeroyDyer/Mixtral_AI_MultiToken
- LeroyDyer/Mixtral_AI_Multi_TEST
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0) as a base.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [LeroyDyer/Mixtral_AI_MultiToken](https://huggingface.co/LeroyDyer/Mixtral_AI_MultiToken)
* [LeroyDyer/Mixtral_AI_Multi_TEST](https://huggingface.co/LeroyDyer/Mixtral_AI_Multi_TEST)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: LeroyDyer/Mixtral_AI_Multi_TEST
parameters:
density: [0.87, 0.721, 0.451] # density gradient
weight: 0.876
- model: LeroyDyer/Mixtral_AI_MultiToken
parameters:
density: 0.232
weight: [0.36, 0.3, 0.437, 0.76] # weight gradient
- model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
density: 0.475
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.0
parameters:
normalize: true
int8_mask: true
dtype: float16
```
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