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---
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
```
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