---
base_model:
- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- NousResearch/Meta-Llama-3-8B-Instruct
- UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
library_name: transformers
tags:
- mergekit
- merge
license: llama3
---
# SPPO-abliterated

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 [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)
* [UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: NousResearch/Meta-Llama-3-8B-Instruct
dtype: float32
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
    parameters:
      weight: 1.0
  - layer_range: [0, 32]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
    parameters:
      weight: 1.0
  - layer_range: [0, 32]
    model: NousResearch/Meta-Llama-3-8B-Instruct
```