---
base_model:
- AELLM/Llama-3.2-Chibi-3B
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
- ValiantLabs/Llama3.2-3B-Enigma
- CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
- EmTpro01/llama-3.2-Code-Generator
- disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
- chuanli11/Llama-3.2-3B-Instruct-uncensored
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:
* [AELLM/Llama-3.2-Chibi-3B](https://huggingface.co/AELLM/Llama-3.2-Chibi-3B)
* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
* [CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct](https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct)
* [EmTpro01/llama-3.2-Code-Generator](https://huggingface.co/EmTpro01/llama-3.2-Code-Generator)
* [disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot)
* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      density: 0.5
      weight: 0.5
  - model: ValiantLabs/Llama3.2-3B-Enigma
    parameters:
      density: 0.5
      weight: 0.5
  - model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
    parameters:
      density: 0.5
      weight: 0.5
  - model: AELLM/Llama-3.2-Chibi-3B
    parameters:
      density: 0.5
      weight: 0.5
  - model: EmTpro01/llama-3.2-Code-Generator
    parameters:
      density: 0.5
      weight: 0.5
  - model: disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
  normalize: false
  int8_mask: true
dtype: float16

```