---
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

```