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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- DreadPoor/Aurora_faustus-8B-LINEAR
- bunnycore/Llama-3.1-8B-TitanFusion-Mix
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
- nvidia/OpenMath2-Llama3.1-8B
- vicgalle/Configurable-Llama-3.1-8B-Instruct
---
# Best-Mix-Llama-3.1-8B
This is a test merge with all my favorite models
Best-Mix-Llama-3.1-8B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [DreadPoor/Aurora_faustus-8B-LINEAR](https://huggingface.co./DreadPoor/Aurora_faustus-8B-LINEAR)
* [bunnycore/Llama-3.1-8B-TitanFusion-Mix](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion-Mix)
* [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co./Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base)
* [nvidia/OpenMath2-Llama3.1-8B](https://huggingface.co./nvidia/OpenMath2-Llama3.1-8B)
* [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co./vicgalle/Configurable-Llama-3.1-8B-Instruct)
## 🧩 Configuration
```yaml
models:
- model: DreadPoor/Aurora_faustus-8B-LINEAR
parameters:
density: 0.8
weight: 0.8
- model: bunnycore/Llama-3.1-8B-TitanFusion-Mix
parameters:
density: 0.8
weight: 0.8
- model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
parameters:
density: 0.8
weight: 0.8
- model: nvidia/OpenMath2-Llama3.1-8B
parameters:
density: 0.8
weight: 0.8
- model: vicgalle/Configurable-Llama-3.1-8B-Instruct
parameters:
density: 0.8
weight: 0.8
merge_method: ties
base_model: bunnycore/Llama-3.1-8B-TitanFusion-Mix
parameters:
normalize: false
int8_mask: true
dtype: float16
``` |