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---
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base_model:
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- TheDrummer/Anubis-70B-v1
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- Sao10K/L3.1-70B-Hanami-x1
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- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
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- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
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- SicariusSicariiStuff/Negative_LLAMA_70B
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- Sao10K/70B-L3.3-Cirrus-x1
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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: llama3.3
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---
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Through my wanderings around huggingface I came across a model merging method I had not seen before and decided to test it out using the ingredients from my Progenitor merges. I am not sure if it's because of SicariusSicariiStuff/Negative_LLAMA_70B as the pivot model, but it seems a lot 'hornier'.
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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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B) 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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* [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1)
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* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1)
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* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
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* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
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* [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1)
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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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# Pivot model
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- model: SicariusSicariiStuff/Negative_LLAMA_70B
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# Target models
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- model: Sao10K/70B-L3.3-Cirrus-x1
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- model: Sao10K/L3.1-70B-Hanami-x1
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- model: TheDrummer/Anubis-70B-v1
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- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
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merge_method: sce
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base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
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parameters:
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select_topk: 1.0
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dtype: bfloat16
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```
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