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--- |
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base_model: |
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- microsoft/Phi-3.5-mini-instruct |
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- microsoft/Phi-3-mini-4k-instruct |
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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: apache-2.0 |
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--- |
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# output-model |
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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 breadcrumbs merge method using [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) |
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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: microsoft/Phi-3.5-mini-instruct |
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layer_range: [0, 32] |
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- model: microsoft/Phi-3-mini-4k-instruct |
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layer_range: [0, 32] # Limité aux 36 premières couches |
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merge_method: breadcrumbs |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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parameters: |
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weight: 0.5 # Remplacer 'relative' par une valeur numérique |
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normalize: true |
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density: 0.9 |
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gamma: 0.01 |
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#t: |
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# - filter: self_attn |
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# value: [0.1, 0.25, 0.5, 0.75, 1] # Ajustement des poids pour self_attn |
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# - filter: mlp |
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# value: [1, 0.75, 0.5, 0.25, 0.1] # Ajustement des poids pour mlp |
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# - value: 0.5 # Valeur par défaut pour les autres couches |
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dtype: bfloat16 |
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tokenizer_source: base |
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``` |
