Mega-Destroyer-8x7B / README.md
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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
```