---
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

---
# 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
```