---
base_model:
- alpindale/WizardLM-2-8x22B
- mistralai/Mixtral-8x22B-Instruct-v0.1
tags:
- mergekit
- merge
license: apache-2.0
---
# Probably BROKEN, look for v0.2 which should be working!
* Test merge of two extremely large MoE models using SLERP. Don't know if it's working yet, haven't had time or hardware to test.

# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B)
* [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: mistralai/Mixtral-8x22B-Instruct-v0.1
        layer_range: [0, 55]
      - model: alpindale/WizardLM-2-8x22B
        layer_range: [0, 55]
merge_method: slerp
base_model: mistralai/Mixtral-8x22B-Instruct-v0.1
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```