README.md

---
base_model:
- Sao10K/32B-Qwen2.5-Kunou-v1
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
- 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 TIES](https://arxiv.org/abs/2311.03099) merge method using [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1)
* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
* [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: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
    # No parameters necessary for base model
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      density: 0.53
      weight: 0.4
  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
    parameters:
      density: 0.53
      weight: 0.3
  - model: Sao10K/32B-Qwen2.5-Kunou-v1
    parameters:
      density: 0.53
      weight: 0.3
merge_method: dare_ties
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
parameters:
  int8_mask: true
dtype: bfloat16

```