---
base_model:
- meta-llama/Meta-Llama-3-8B
- NousResearch/Hermes-2-Theta-Llama-3-8B
- bineric/NorskGPT-Llama3-8b
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 [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) as a base.

### Models Merged

The following models were included in the merge:
* [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)
* [bineric/NorskGPT-Llama3-8b](https://huggingface.co/bineric/NorskGPT-Llama3-8b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: meta-llama/Meta-Llama-3-8B  # no parameters necessary for base model
  - model: bineric/NorskGPT-Llama3-8b
    parameters:
      density: 0.5  # fraction of weights in differences from the base model to retain
      weight:   # weight gradient
        - filter: mlp
          value: 0.5
        - value: 0
  - model: NousResearch/Hermes-2-Theta-Llama-3-8B
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_ties
base_model: meta-llama/Meta-Llama-3-8B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

```