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---
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
``` |