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--- |
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base_model: |
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- Sao10K/Fimbulvetr-11B-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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--- |
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Changing the value of kv_count from 34 to 40 indicates an increase in the number of key-value pairs in the model. These key-value pairs are mainly used to represent attention information within neural networks, particularly in Transformer-type models such as LLaMA. |
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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 passthrough merge method using [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co./Sao10K/Fimbulvetr-11B-v2) 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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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: Sao10K/Fimbulvetr-11B-v2 |
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merge_method: passthrough |
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dtype: float16 |
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parameters: |
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normalize: true |
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slices: |
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- sources: |
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- model: Sao10K/Fimbulvetr-11B-v2 |
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layer_range: [0, 48] # Assumi che il modello abbia 48 layer |
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densify: |
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- linear |
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- "rope:alpha=8192/4096" # Estende il contesto a 8192 |
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tokens: |
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- source: Sao10K/Fimbulvetr-11B-v2 |
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mode: stretch |
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``` |
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