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---
base_model:
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
- meta-llama/Llama-3.2-3B
- chuanli11/Llama-3.2-3B-Instruct-uncensored
- bunnycore/Llama-3.2-3B-ProdigyPlusPlus
- meta-llama/Llama-3.2-3B-Instruct
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.
### Models Merged
The following models were included in the merge:
* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
* [bunnycore/Llama-3.2-3B-ProdigyPlusPlus](https://huggingface.co/bunnycore/Llama-3.2-3B-ProdigyPlusPlus)
* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model:
model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
layer_range:
- 0
- 28
merge_method: ties
merge_method_sequence:
- dare_ties
- slerp
- ties
parameters:
batch_size: 32
density: 0.5
int8_mask: true
layer_range:
- 0
- 28
model.embed_tokens.weight.t: 1.0
normalize: false
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
weight: 0.5
slices:
- sources:
- density: 0.5
layer_range:
- 0
- 28
model: meta-llama/Llama-3.2-3B-Instruct
weight: 0.5
- density: 0.5
layer_range:
- 0
- 28
model: meta-llama/Llama-3.2-3B
weight: 0.5
- density: 0.5
layer_range:
- 0
- 28
model: chuanli11/Llama-3.2-3B-Instruct-uncensored
weight: 0.5
- density: 0.5
layer_range:
- 0
- 28
model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
weight: 0.5
- density: 0.5
layer_range:
- 0
- 28
model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
weight: 0.5
tokenizer_source: union
```