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--- |
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base_model: |
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- nbeerbower/Stella-mistral-nemo-12B-v2 |
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- nbeerbower/mistral-nemo-gutenberg-12B-v2 |
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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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license: mit |
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--- |
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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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* [nbeerbower/Stella-mistral-nemo-12B-v2](https://huggingface.co/nbeerbower/Stella-mistral-nemo-12B-v2) |
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* [nbeerbower/mistral-nemo-gutenberg-12B-v2](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v2) |
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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: nbeerbower/Stella-mistral-nemo-12B-v2 |
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- model: nbeerbower/mistral-nemo-gutenberg-12B-v2 |
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merge_method: slerp |
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tokenizer_merge_method: slerp |
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tokenizer_parameters: |
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t: 0.3 # Dà più peso al tokenizer |
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base_model: nbeerbower/mistral-nemo-gutenberg-12B-v2 |
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dtype: bfloat16 |
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parameters: |
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t: [0, 0.2, 0.4, 0.5, 0.4, 0.2, 0] # Curva che favorisce leggermente |
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temp: 1.3 # Temperatura per smoothare il merge |
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density: # Density merging per bilanciare le caratteristiche dei due modelli |
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- threshold: 0.1 |
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t: 0.7 |
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- threshold: 0.5 |
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t: 0.5 |
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- threshold: 0.9 |
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t: 0.3 |
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``` |
