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---
base_model:
- TheDrummer/Anubis-70B-v1
- Sao10K/L3.1-70B-Hanami-x1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
- SicariusSicariiStuff/Negative_LLAMA_70B
- Sao10K/70B-L3.3-Cirrus-x1
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
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'.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
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.
### Models Merged
The following models were included in the merge:
* [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1)
* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1)
* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
* [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
# Pivot model
- model: SicariusSicariiStuff/Negative_LLAMA_70B
# Target models
- model: Sao10K/70B-L3.3-Cirrus-x1
- model: Sao10K/L3.1-70B-Hanami-x1
- model: TheDrummer/Anubis-70B-v1
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
merge_method: sce
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
select_topk: 1.0
dtype: bfloat16
```
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