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---
base_model:
- bunnycore/Llama-3.1-8B-TitanFusion-Mix
- vicgalle/Roleplay-Hermes-3-Llama-3.1-8B
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
- meta-llama/Llama-3.1-8B
- bunnycore/Best-Mix-Llama-3.1-8B
- vicgalle/Configurable-Llama-3.1-8B-Instruct
- nvidia/OpenMath2-Llama3.1-8B
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Llama-3.1-8B](https://huggingface.co./meta-llama/Llama-3.1-8B) as a base.
### Models Merged
The following models were included in the merge:
* [bunnycore/Llama-3.1-8B-TitanFusion-Mix](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion-Mix)
* [vicgalle/Roleplay-Hermes-3-Llama-3.1-8B](https://huggingface.co./vicgalle/Roleplay-Hermes-3-Llama-3.1-8B)
* [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co./Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base)
* [bunnycore/Best-Mix-Llama-3.1-8B](https://huggingface.co./bunnycore/Best-Mix-Llama-3.1-8B)
* [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co./vicgalle/Configurable-Llama-3.1-8B-Instruct)
* [nvidia/OpenMath2-Llama3.1-8B](https://huggingface.co./nvidia/OpenMath2-Llama3.1-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: vicgalle/Roleplay-Hermes-3-Llama-3.1-8B
parameters:
density: 0.7
weight: 0.7
- model: bunnycore/Best-Mix-Llama-3.1-8B
parameters:
density: 0.4
weight: 0.3
- model: vicgalle/Configurable-Llama-3.1-8B-Instruct
parameters:
density: 0.5
weight: 0.5
- model: nvidia/OpenMath2-Llama3.1-8B
parameters:
density: 0.5
weight: 0.3
- model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
parameters:
density: 0.8
weight: 0.6
- model: bunnycore/Llama-3.1-8B-TitanFusion-Mix
parameters:
density: 0.5
weight: 0.4
merge_method: ties
base_model: meta-llama/Llama-3.1-8B
parameters:
density: 1
normalize: false
int8_mask: true
dtype: float16
```