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mergekit-ties-bzyblbo

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mergekit-ties-bzyblbo
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---
base_model:
- Hjgugugjhuhjggg/mergekit-ties-pghuyfi
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
- Hjgugugjhuhjggg/mergekit-ties-esawwda
- Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
- Hjgugugjhuhjggg/mergekit-ties-qgcitfu
- Hjgugugjhuhjggg/mergekit-ties-poovzrh
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:
* [Hjgugugjhuhjggg/mergekit-ties-pghuyfi](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-pghuyfi)
* [Hjgugugjhuhjggg/mergekit-ties-esawwda](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-esawwda)
* [Hjgugugjhuhjggg/mergekit-ties-kmlzhzo](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo)
* [Hjgugugjhuhjggg/mergekit-ties-qgcitfu](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-qgcitfu)
* [Hjgugugjhuhjggg/mergekit-ties-poovzrh](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Hjgugugjhuhjggg/mergekit-ties-poovzrh
    parameters:
      density: 0.5
      weight: 0.5
  - model: Hjgugugjhuhjggg/mergekit-ties-pghuyfi
    parameters:
      density: 0.5
      weight: 0.5
  - model: Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
    parameters:
      density: 0.5
      weight: 0.5
  - model: Hjgugugjhuhjggg/mergekit-ties-esawwda
    parameters:
      density: 0.5
      weight: 0.5
  - model: Hjgugugjhuhjggg/mergekit-ties-qgcitfu
    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

```