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---
base_model:
- Isotonic/reasoning-llama3.2-3b
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
- ValiantLabs/Llama3.2-3B-ShiningValiant2
- BrainWave-ML/llama3.2-3B-codemath-orpo
- disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
- TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
- CK0607/llama3.2-3B-CodeP
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:
* [Isotonic/reasoning-llama3.2-3b](https://huggingface.co/Isotonic/reasoning-llama3.2-3b)
* [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2)
* [BrainWave-ML/llama3.2-3B-codemath-orpo](https://huggingface.co/BrainWave-ML/llama3.2-3B-codemath-orpo)
* [disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot](https://huggingface.co/disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot)
* [TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient](https://huggingface.co/TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient)
* [CK0607/llama3.2-3B-CodeP](https://huggingface.co/CK0607/llama3.2-3B-CodeP)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ValiantLabs/Llama3.2-3B-ShiningValiant2
parameters:
density: 0.5
weight: 0.5
- model: TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
parameters:
density: 0.5
weight: 0.5
- model: BrainWave-ML/llama3.2-3B-codemath-orpo
parameters:
density: 0.5
weight: 0.5
- model: CK0607/llama3.2-3B-CodeP
parameters:
density: 0.5
weight: 0.5
- model: disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
parameters:
density: 0.5
weight: 0.5
- model: Isotonic/reasoning-llama3.2-3b
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
```