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---
base_model:
- alpindale/WizardLM-2-8x22B
- mistralai/Mixtral-8x22B-Instruct-v0.1
tags:
- mergekit
- merge
license: apache-2.0
---
# Should be working.
* Test merge of two extremely large MoE models using SLERP. Don't know if it's working correctly yet, haven't had the time or hardware to test.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### 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, 56]
- model: alpindale/WizardLM-2-8x22B
layer_range: [0, 56]
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
``` |