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

This is a testing model using the zeroing method used by [elinas/Llama-3-15B-Instruct-zeroed](https://huggingface.co./elinas/Llama-3-15B-Instruct-zeroed).

If this model pans out in the way I hope, Ill heal it then reupload with a custom model card like the others. currently this is just an experiment.

In case anyone asks AbL3In-15b literally means:
```yaml
Ab = Abliterated
L3 = Llama-3
In = Instruct
15b = its 15b perameters
```

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### 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)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- sources:
  - layer_range: [8, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [8, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [24, 32]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3

```