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--- |
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base_model: |
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- alpindale/WizardLM-2-8x22B |
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- mistralai/Mixtral-8x22B-Instruct-v0.1 |
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tags: |
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- mergekit |
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- merge |
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license: apache-2.0 |
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--- |
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# Probably BROKEN, look for v0.2 which should be working! |
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* 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. |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B) |
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* [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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slices: |
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- sources: |
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- model: mistralai/Mixtral-8x22B-Instruct-v0.1 |
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layer_range: [0, 55] |
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- model: alpindale/WizardLM-2-8x22B |
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layer_range: [0, 55] |
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merge_method: slerp |
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base_model: mistralai/Mixtral-8x22B-Instruct-v0.1 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
