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Qwen2.6-14B-Instruct

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Qwen2.6-14B-Instruct
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---

base_model:
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- qingy2019/Qwen2.5-Math-14B-Instruct
- CultriX/SeQwence-14B
- v000000/Qwen2.5-Lumen-14B
- arcee-ai/Virtuoso-Small
- Qwen/Qwen2.5-14B
library_name: transformers
tags:
- mergekit
- merge
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---

# 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](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.

### Models Merged

The following models were included in the merge:
* [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2)
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
* [CultriX/SeQwence-14B](https://huggingface.co/CultriX/SeQwence-14B)
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:

  - model: qingy2019/Qwen2.5-Math-14B-Instruct

    parameters:

      weight: 0.35

      density: 0.6

  - model: arcee-ai/Virtuoso-Small

    parameters:

      weight: 0.30

      density: 0.6

  - model: CultriX/Qwen2.5-14B-MegaMerge-pt2

    parameters:

      weight: 0.20

      density: 0.5

  - model: CultriX/SeQwence-14B

    parameters:

      weight: 0.15

      density: 0.4

  - model: v000000/Qwen2.5-Lumen-14B

    parameters:

      weight: 0.10

      density: 0.5

base_model: Qwen/Qwen2.5-14B

merge_method: dare_ties

parameters:

  normalize: true

  int8_mask: true

dtype: bfloat16

tokenizer_source: Qwen/Qwen2.5-14B-Instruct



```