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---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- cgato/L3-TheSpice-8b-v0.8.3
- Locutusque/Llama-3-NeuralHercules-5.0-8B
- Gryphe/Pantheon-RP-1.0-8b-Llama-3
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 [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:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)
* [Locutusque/Llama-3-NeuralHercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.5
weight: 1.0
- model: Gryphe/Pantheon-RP-1.0-8b-Llama-3
parameters:
density: 0.6
weight: 1.0
- model: Locutusque/Llama-3-NeuralHercules-5.0-8B
parameters:
density: 0.35
weight: 0.6
- model: cgato/L3-TheSpice-8b-v0.8.3
parameters:
density: 0.5
weight: 0.80
merge_method: dare_ties
tokenizer_source: base
base_model: Gryphe/Pantheon-RP-1.0-8b-Llama-3
parameters:
int8_mask: true
dtype: bfloat16
```
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