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---
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
```
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