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--- |
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base_model: |
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- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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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: llama3 |
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--- |
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# merge |
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This is a testing model using the zeroing method used by [elinas/Llama-3-15B-Instruct-zeroed](https://huggingface.co./elinas/Llama-3-15B-Instruct-zeroed). |
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If this model pans out in the way I hope, Ill heal it then reupload with a custom model card like the others. currently this is just an experiment. |
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In case anyone asks AbL3In-15b literally means: |
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```yaml |
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Ab = Abliterated |
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L3 = Llama-3 |
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In = Instruct |
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15b = its 15b perameters |
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``` |
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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. |
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### Models Merged |
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The following models were included in the merge: |
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* [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co./failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) |
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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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dtype: bfloat16 |
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merge_method: passthrough |
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slices: |
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- sources: |
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- layer_range: [0, 24] |
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model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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- sources: |
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- layer_range: [8, 24] |
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model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- layer_range: [8, 24] |
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model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- layer_range: [24, 32] |
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model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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``` |