---
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
```