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mixtral-ties

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mixtral-ties
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---
base_model:
- monology/mixtral-slerp0
- monology/mixtral-slerp5
- monology/mixtral-slerp6
- monology/mixtral-slerp2
- mistralai/Mistral-7B-v0.1
- monology/mixtral-slerp3
- monology/mixtral-slerp7
- monology/mixtral-slerp4
- monology/mixtral-slerp1
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# mixtral-ties

For experimental purposes. Probably not very good.  

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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [monology/mixtral-slerp0](https://huggingface.co/monology/mixtral-slerp0)
* [monology/mixtral-slerp5](https://huggingface.co/monology/mixtral-slerp5)
* [monology/mixtral-slerp6](https://huggingface.co/monology/mixtral-slerp6)
* [monology/mixtral-slerp2](https://huggingface.co/monology/mixtral-slerp2)
* [monology/mixtral-slerp3](https://huggingface.co/monology/mixtral-slerp3)
* [monology/mixtral-slerp7](https://huggingface.co/monology/mixtral-slerp7)
* [monology/mixtral-slerp4](https://huggingface.co/monology/mixtral-slerp4)
* [monology/mixtral-slerp1](https://huggingface.co/monology/mixtral-slerp1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: monology/mixtral-slerp0
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp1
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp2
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp3
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp4
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp5
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp6
    parameters:
      density: 0.5
      weight: 0.1
  - model: monology/mixtral-slerp7
    parameters:
      density: 0.5
      weight: 0.1
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
dtype: float16

```