README.md

---
base_model:
- migtissera/Tess-2.0-Llama-3-8B
- maldv/badger-lambda-llama-3-8b
- Undi95/Meta-Llama-3-8B-hf
- maldv/badger-mu-llama-3-8b
- MrRobotoAI/llama3-8B-Special-Dark-v2.0
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [MrRobotoAI/llama3-8B-Special-Dark-v2.0](https://huggingface.co/MrRobotoAI/llama3-8B-Special-Dark-v2.0) as a base.

### Models Merged

The following models were included in the merge:
* [migtissera/Tess-2.0-Llama-3-8B](https://huggingface.co/migtissera/Tess-2.0-Llama-3-8B)
* [maldv/badger-lambda-llama-3-8b](https://huggingface.co/maldv/badger-lambda-llama-3-8b)
* [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf)
* [maldv/badger-mu-llama-3-8b](https://huggingface.co/maldv/badger-mu-llama-3-8b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:

  - model: maldv/badger-mu-llama-3-8b
    parameters:
      weight: 0.1429
      density: 0.9
  - model: maldv/badger-lambda-llama-3-8b
    parameters:
      weight: 0.1429
      density: 0.9
  - model: migtissera/Tess-2.0-Llama-3-8B
    parameters:
      weight: 0.1429
      density: 0.9

  - model: Undi95/Meta-Llama-3-8B-hf
    parameters:
      weight: 0.1429
      density: 0.9

  - model: MrRobotoAI/llama3-8B-Special-Dark-v2.0
    parameters:
      weight: 0.1429
      density: 0.9

merge_method: dare_ties
base_model: MrRobotoAI/llama3-8B-Special-Dark-v2.0
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```