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---
base_model:
- mistralai/Mixtral-8x7B-v0.1
- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
- mistralai/Mixtral-8x7B-v0.1
- LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA
- rombodawg/Open_Gpt4_8x7B_v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
- mistralai/Mixtral-8x7B-v0.1
- Sao10K/Typhon-Mixtral-v1
tags:
- mergekit
- merge

---
# mergeout

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](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA](https://huggingface.co/LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA)
* [rombodawg/Open_Gpt4_8x7B_v0.2](https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2)
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
* [Sao10K/Typhon-Mixtral-v1](https://huggingface.co/Sao10K/Typhon-Mixtral-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
    parameters:
      density: 0.6
      weight: 1.0
  - model: rombodawg/Open_Gpt4_8x7B_v0.2
    parameters:
      density: 0.5
      weight: 0.8
  - model: mistralai/Mixtral-8x7B-v0.1+LoneStriker/Air-Striker-Mixtral-8x7B-ZLoss-LoRA
    parameters:
      density: 0.5
      weight: 0.6        
  - model: Sao10K/Typhon-Mixtral-v1
    parameters:
      density: 0.5
      weight: 0.7
  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
    parameters:
      density: 0.5
      weight: 0.4      
merge_method: dare_ties
base_model: mistralai/Mixtral-8x7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
name: Mega-Destroyer-8x7B

```