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nbeerbower
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UwU-Qwen2.5-32B

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UwU-Qwen2.5-32B
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---
base_model:
- huihui-ai/QwQ-32B-abliterated
- nbeerbower/Dumpling-Qwen2.5-32B
- rinna/qwq-bakeneko-32b
- trashpanda-org/QwQ-32B-Snowdrop-v0
- Qwen/Qwen2.5-32B
- nbeerbower/Shiina-Qwen2.5-32B
- nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B
library_name: transformers
tags:
- mergekit
- merge

---
# UwU-Qwen2.5-32B

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 [Qwen/Qwen2.5-32B](https://huggingface.co/Qwen/Qwen2.5-32B) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/QwQ-32B-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-abliterated)
* [nbeerbower/Dumpling-Qwen2.5-32B](https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B)
* [rinna/qwq-bakeneko-32b](https://huggingface.co/rinna/qwq-bakeneko-32b)
* [trashpanda-org/QwQ-32B-Snowdrop-v0](https://huggingface.co/trashpanda-org/QwQ-32B-Snowdrop-v0)
* [nbeerbower/Shiina-Qwen2.5-32B](https://huggingface.co/nbeerbower/Shiina-Qwen2.5-32B)
* [nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B](https://huggingface.co/nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: nbeerbower/Dumpling-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: nbeerbower/Shiina-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: rinna/qwq-bakeneko-32b
    parameters:
      weight: 1
      density: 1
  - model: trashpanda-org/QwQ-32B-Snowdrop-v0
    parameters:
      weight: 1
      density: 1
  - model: huihui-ai/QwQ-32B-abliterated
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-32B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer:
   source: Qwen/QwQ-32B


```