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--- |
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base_model: [] |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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Use ChatML or MistralNemo format. |
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Conclusion: These types of merge methods tend to work better when at least 1 model has a much higher weight then the rest |
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After further testing this is the best Nemo model I have ever used |
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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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models: |
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- model: mistral-nemo-gutenberg-12B-v4 |
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parameters: |
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weight: 0.2 |
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- model: Violet_Twilight-v0.2 |
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parameters: |
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weight: 0.3 |
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- model: Lyra-Gutenberg-mistral-nemo-12B |
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parameters: |
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weight: 0.5 |
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- model: Grey-12b |
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parameters: |
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weight: 0.2 |
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base_model: Mistral-Nemo-Base-2407 |
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parameters: |
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density: 0.5 |
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epsilon: 0.1 |
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lambda: 1.1 |
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normalize: false |
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int8_mask: true |
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rescale: true |
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merge_method: della_linear |
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tokenizer: |
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source: union |
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dtype: bfloat16 |
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``` |
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