---
base_model:
- LeroyDyer/Mixtral_AI_Cyber_2.0
- LeroyDyer/Mixtral_AI_Cyber_1.0
- LeroyDyer/Mixtral_Chat_X_128k
- LeroyDyer/Mixtral_instruct
library_name: transformers
tags:
- mergekit
- merge
- code
- Cyber-Series
license: mit
language:
- en
---

A Merge of the top models from this repo! with models like this .... why third party !


# 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_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_2.0) as a base.

### Models Merged

The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_Cyber_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_1.0)
* [LeroyDyer/Mixtral_Chat_X_128k](https://huggingface.co/LeroyDyer/Mixtral_Chat_X_128k)
* [LeroyDyer/Mixtral_instruct](https://huggingface.co/LeroyDyer/Mixtral_instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: LeroyDyer/Mixtral_AI_Cyber_1.0
    parameters:
      density: [1, 0.721, 0.1] # density gradient
      weight: 1.0
  - model: LeroyDyer/Mixtral_instruct
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.437, 1] # weight gradient
  - model: LeroyDyer/Mixtral_Chat_X_128k
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_2.0
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```