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---
base_model:
- CultriX/Llama3-8B-DPO
- hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
library_name: transformers
tags:
- mergekit
- merge
- autoquant
- gguf
---
# 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) as a base.
### Models Merged
The following models were included in the merge:
* [CultriX/Llama3-8B-DPO](https://huggingface.co/CultriX/Llama3-8B-DPO)
* [hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode](https://huggingface.co/hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode)
* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
parameters:
weight: 1
layer_range: [0, 32]
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
weight: 1
layer_range: [0, 32]
- model: CultriX/Llama3-8B-DPO
parameters:
weight: 0.3
layer_range: [0, 32]
- model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
parameters:
weight: 0.7
layer_range: [0, 32]
merge_method: task_arithmetic
base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
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