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---
base_model:
- Delta-Vector/Hamanasu-Magnum-QwQ-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).
I created it because I like win10/EVA-QwQ-32B-Preview a lot, sure, it can be repetitive and it's not really affected by the sampler settings when using the default koboldcpp order, but it's still one of the best for the way I roleplay.
I might try this again using different models (Instead of EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2) with the same merge method, any recommendations? Feel free to ask me.
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Delta-Vector/Hamanasu-Magnum-QwQ-32B](https://huggingface.co/Delta-Vector/Hamanasu-Magnum-QwQ-32B) as a base.
### Models Merged
The following models were included in the merge:
* [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: Delta-Vector/Hamanasu-Magnum-QwQ-32B
parameters:
density: 1
weight: 1
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
density: 1
weight: 1
- model: Delta-Vector/Hamanasu-Magnum-QwQ-32B
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: Delta-Vector/Hamanasu-Magnum-QwQ-32B
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
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