---
base_model:
- Qwen/QwQ-32B-Preview
- Qwen/Qwen2.5-Coder-32B-Instruct
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
library_name: transformers
tags:
- mergekit
- merge

---

# my kofi:
https://ko-fi.com/ogodwin10
If you like this model, please give me some sponsorship and I will continue to create better merges. If there is a device that can fine-tune the model, there will be more new models fine-tuned after the merge (just like solar 10b).
# 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 [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2) as a base.

### Models Merged

The following models were included in the merge:
* [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview)
* [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/QwQ-32B-Preview
    parameters:
      density: 1
      weight: 1 
  - model: Qwen/Qwen2.5-Coder-32B-Instruct
    parameters:
      density: 1
      weight: 1 
      
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      density: 1
      weight: 1 
      
  - model: Qwen/QwQ-32B-Preview
    parameters:
      density: 1
      weight: 1 
      
  - model: Qwen/Qwen2.5-Coder-32B-Instruct
    parameters:
      density: 1
      weight: 1 
      
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      density: 1
      weight: 1 

merge_method: ties
base_model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

```