---
base_model:
- Gryphe/Pantheon-RP-1.0-8b-Llama-3
- Locutusque/Llama-3-Hercules-5.0-8B
- aaditya/Llama3-OpenBioLLM-8B
- Blackroot/Llama-3-LongStory
library_name: transformers
tags:
- mergekit
- merge

---
# Sun-v0.1-8B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). This is one of my merge parts for 
[EtherealRainbow-v0.2-8B](https://huggingface.co/invisietch/EtherealRainbow-v0.2-8B). It's pretty unusable by itself (lots of bugs/issues) but merged into a different
base it seems to increase response length and quality of prose.

Uploading just in case others find it useful.

## 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 [Gryphe/Pantheon-RP-1.0-8b-Llama-3](https://huggingface.co/Gryphe/Pantheon-RP-1.0-8b-Llama-3) as a base.

### Models Merged

The following models were included in the merge:
* [Locutusque/Llama-3-Hercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-Hercules-5.0-8B)
* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
* [Blackroot/Llama-3-LongStory](https://huggingface.co/Blackroot/Llama-3-LongStory)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Gryphe/Pantheon-RP-1.0-8b-Llama-3
  - model: aaditya/Llama3-OpenBioLLM-8B
    parameters:
      density: 0.36
      weight: 0.2
  - model: Blackroot/Llama-3-LongStory
    parameters:
      density: 0.40
      weight: 0.3
  - model: Locutusque/Llama-3-Hercules-5.0-8B
    parameters:
      density: 0.49
      weight: 0.5
merge_method: dare_ties
base_model: Gryphe/Pantheon-RP-1.0-8b-Llama-3
parameters:
  int8_mask: true
dtype: bfloat16

```