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---
base_model:
- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
- Cran-May/T.E-8.1
- huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
- bunnycore/Qwen2.5-7B-HyperMix
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-7B
- c10x/CoT-2.5
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# 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 [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
### Models Merged
The following models were included in the merge:
* [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)
* [Cran-May/T.E-8.1](https://huggingface.co/Cran-May/T.E-8.1)
* [huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2)
* [bunnycore/Qwen2.5-7B-HyperMix](https://huggingface.co/bunnycore/Qwen2.5-7B-HyperMix)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
* [c10x/CoT-2.5](https://huggingface.co/c10x/CoT-2.5)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
parameters:
weight: 1
density: 1
- model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
parameters:
weight: 1
density: 1
- model: bunnycore/Qwen2.5-7B-HyperMix
parameters:
weight: 0.8
density: 0.8
- model: c10x/CoT-2.5
parameters:
weight: 0.5
density: 0.5
- model: Cran-May/T.E-8.1
parameters:
weight: 0.5
density: 0.5
- model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 0.3
density: 0.3
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
``` |