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---
base_model:
- abacusai/Dracarys2-Llama-3.1-70B-Instruct
- mlabonne/Hermes-3-Llama-3.1-70B-lorablated
- huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
- MaziyarPanahi/calme-2.3-llama3.1-70b
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
- migtissera/Tess-3-Llama-3.1-70B
library_name: transformers
tags:
- mergekit
- merge
---
# 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 [Model Stock](https://arxiv.org/abs/2403.19522) 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:
* [abacusai/Dracarys2-Llama-3.1-70B-Instruct](https://huggingface.co/abacusai/Dracarys2-Llama-3.1-70B-Instruct)
* [mlabonne/Hermes-3-Llama-3.1-70B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-70B-lorablated)
* [huihui-ai/Llama-3.1-Tulu-3-70B-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Tulu-3-70B-abliterated)
* [MaziyarPanahi/calme-2.3-llama3.1-70b](https://huggingface.co/MaziyarPanahi/calme-2.3-llama3.1-70b)
* [migtissera/Tess-3-Llama-3.1-70B](https://huggingface.co/migtissera/Tess-3-Llama-3.1-70B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: model_stock
models:
- model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
weight: 1.0
- model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
weight: 1.0
- model: huihui-ai/Llama-3.1-Tulu-3-70B-abliterated
parameters:
weight: 1.0
- model: abacusai/Dracarys2-Llama-3.1-70B-Instruct
parameters:
weight: 1.0
- model: MaziyarPanahi/calme-2.3-llama3.1-70b
parameters:
weight: 1.0
- model: migtissera/Tess-3-Llama-3.1-70B
parameters:
weight: 1.0
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
dtype: bfloat16
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
filter_wise: false
smooth: false
allow_negative_weights: false
chat_template: auto
tokenizer:
source: union
```