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---
base_model:
- meta-llama/Llama-3.3-70B-Instruct
- Tarek07/Progenitor-V1.1-LLaMa-70B
- SicariusSicariiStuff/Negative_LLAMA_70B
- LatitudeGames/Wayfarer-Large-70B-Llama-3.3
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
I just had to make use of Wayfarer. So essentially I added it to Progenitor 1.1 (because I am already using Llama 3.3 Instruct as a base, I thought the nemotron base on Progenitor 1.1 would be better for the merge.) And I also put in a touch extra Llama Negative hopefully the attempt yields fruitful results.
# 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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [Tarek07/Progenitor-V1.1-LLaMa-70B](https://huggingface.co/Tarek07/Progenitor-V1.1-LLaMa-70B)
* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
* [LatitudeGames/Wayfarer-Large-70B-Llama-3.3](https://huggingface.co/LatitudeGames/Wayfarer-Large-70B-Llama-3.3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Tarek07/Progenitor-V1.1-LLaMa-70B
parameters:
weight: 0.75
density: 0.7
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
weight: 0.20
density: 0.7
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.05
density: 0.7
merge_method: della_linear
base_model: meta-llama/Llama-3.3-70B-Instruct
parameters:
epsilon: 0.2
lambda: 1.1
normalize: false
out_dtype: bfloat16
tokenizer:
source: SicariusSicariiStuff/Negative_LLAMA_70B
```
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