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Qwenwify-32B-v2.5

Text Generation
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qwen2
mergekit
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Qwenwify-32B-v2.5
File size: 2,621 Bytes 
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---
base_model:
- crestf411/Q2.5-32B-Slush
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
- huihui-ai/QwQ-32B-Preview-abliterated
- AXCXEPT/EZO-Qwen2.5-32B-Instruct
- AiCloser/Qwen2.5-32B-AGI
- unsloth/qwen2.5-32b
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/qwen2.5-32b](https://huggingface.co/unsloth/qwen2.5-32b) as a base.

### Models Merged

The following models were included in the merge:
* [crestf411/Q2.5-32B-Slush](https://huggingface.co/crestf411/Q2.5-32B-Slush)
* [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b)
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
* [huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated)
* [AXCXEPT/EZO-Qwen2.5-32B-Instruct](https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct)
* [AiCloser/Qwen2.5-32B-AGI](https://huggingface.co/AiCloser/Qwen2.5-32B-AGI)
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      weight: 0.9
      density: 0.82
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
    parameters:
      weight: 0.24
      density: 0.76
  - model: crestf411/Q2.5-32B-Slush
    parameters:
      weight: 0.21
      density: 0.73
  - model: AXCXEPT/EZO-Qwen2.5-32B-Instruct
    parameters:
      weight: 0.18
      density: 0.71
  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
    parameters:
      weight: 0.19
      density: 0.72
  - model: huihui-ai/QwQ-32B-Preview-abliterated
    parameters:
      weight: 0.12
      density: 0.65
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
    parameters:
      weight: 0.14
      density: 0.64
  - model: AiCloser/Qwen2.5-32B-AGI
    parameters:
      weight: 0.11
      density: 0.65

merge_method: dare_ties
base_model: unsloth/qwen2.5-32b
parameters:
  density: 0.83
  epsilon: 0.06
  lambda: 1.22
dtype: bfloat16
tokenizer_source: union

```