|
--- |
|
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 |
|
|
|
``` |
