---
base_model:
- LeroyDyer/Mixtral_AI_Cyber_3.m1
- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
- LeroyDyer/Mixtral_AI_Cyber_2.0
- LeroyDyer/Mixtral_AI_Cyber_1.0
- LeroyDyer/Mixtral_AI_Cyber_3.m2
- LeroyDyer/Mixtral_AI_Cyber_3.0
library_name: transformers
tags:
- biology
- chemistry
- medical
license: mit
language:
- en
metrics:
- bertscore
- code_eval
- character
---

### Models Merged

The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1)
* [LeroyDyer/Mixtral_AI_Cyber_3.1_SFT](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.1_SFT)
* [LeroyDyer/Mixtral_AI_Cyber_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_2.0)
* [LeroyDyer/Mixtral_AI_Cyber_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_1.0)
* [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: LeroyDyer/Mixtral_AI_Cyber_3.m2
    parameters:
      density: [0.256, 0.512, 0.128] # density gradient
      weight: 0.382
  - model: LeroyDyer/Mixtral_AI_Cyber_2.0
    parameters:
      density: 0.382
      weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
  - model: LeroyDyer/Mixtral_AI_Cyber_3.0
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient      
  - model: LeroyDyer/Mixtral_AI_Cyber_3.m1
    parameters:
      density: 0.382
      weight: [0.256, 0.256, 0.512, 0.128] # weight gradient    
  - model: LeroyDyer/Mixtral_AI_Cyber_1.0
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient                
  - model: LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
    parameters:
      density: 0.382
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.m2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```